{"text_format":"1","workbook":"xlsx","n_sheets":48,"sheets":["Interface layout (no formulas)","Additional Inputs","Cover page","Interface","Default data","Assumptions,Outputs,Results","Food Loss ->>","Taxonomy","FAO Food Loss Data","Nat_Avg","Custom Loss Rates","Landfill >>","WB dataset","LF destination","Landfill Calcs","Transport >>","TransportCalc","Transport EFs","Transport Lists","Road conditions","DATA >>","Retail","Storage","Grid EFs","2017_World_Grid","Processing","FertilizerManufacturing","GLEAM_GRL","ProteinData","MEAT_MILK_EGGS","Logistics","BEIS HGV DATA","Emissions","Crops","Livestock lists","Lists","Analysis ->>","Rice","EF","Clune_Poore","Flour","NitrogenEmissions","Crops & Countries","UN country codes","GhG summary","GHG UPDATE","Improv_lists","ClimateZones"],"not_rendered":{"charts":10,"images":14,"macros":1,"external_links":1,"defined_names":491,"comments":15,"pivot_tables":8},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":3,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900"}

{"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":"'Assumptions,Outputs,Results'!D10","v":0},{"$f":"'Assumptions,Outputs,Results'!E10","v":{"$error":"#N/A"}},{"$f":"'Assumptions,Outputs,Results'!F10","v":{"$error":"#DIV/0!"}},"tonnes"]
[null,"Total GhG emissions saved per phase per year",{"$f":"SUM('Assumptions,Outputs,Results'!D32:D35)","v":{"$error":"#N/A"}},{"$f":"SUM('Assumptions,Outputs,Results'!E32:E35)","v":{"$error":"#N/A"}},{"$f":"SUM('Assumptions,Outputs,Results'!F32:F35)","v":{"$error":"#N/A"}},"tonnes CO2e"]
[null,"Improvement",{"$f":"IFERROR(('Assumptions,Outputs,Results'!D14-'Assumptions,Outputs,Results'!D17)/'Assumptions,Outputs,Results'!D14,\"\")","v":""},{"$f":"IFERROR(('Assumptions,Outputs,Results'!E14-'Assumptions,Outputs,Results'!E17)/'Assumptions,Outputs,Results'!E14,\"\")","v":""},{"$f":"IFERROR(('Assumptions,Outputs,Results'!F14-'Assumptions,Outputs,Results'!F17)/'Assumptions,Outputs,Results'!F14,\"\")","v":""}]
[null,"Total financial savings (USD)",{"$f":"C124*$C$9","v":0},{"$f":"D124*$C$9","v":{"$error":"#N/A"}},{"$f":"E124*$C$9","v":{"$error":"#DIV/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",{"$f":"SUM(C124:E124)","v":{"$error":"#N/A"}},"tonnes"]
[null,null,{"$f":"'Assumptions,Outputs,Results'!F42","v":{"$error":"#N/A"}},"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":{"$error":"#N/A"}},null,null,null,{"$f":"IF(AND(D99=\"\",E99=\"\"),C99,SUM(D99:E99))","v":{"$error":"#N/A"}},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 TOOLKIT"]
[null," v2.0"]
[]
[]
[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.  The 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 and current, 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 2023.  All rights reserved."]

{"sheet":"Interface","index":3,"n_rows":163,"n_cols":11,"rows_kept":163,"cut":false,"hidden":false,"merged":[[1,7,1,8],[155,1,156,1],[1,4,1,5]]}
[]
[null,"STEP 1: GENERAL INFORMATION",null,null,"<< Reset Data button will delete all user inputs in this worksheet"]
[]
[null,"Region*"]
[null,"Country*"]
[null,"Commodity*"]
[null,"Commodity group 🔒",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(Commodity,IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""}]
[null,"Production Type (animal protein only)*"]
[]
[null,"Commodity Price (optional)",null,"USD/t"]
[]
[null,"STEP 2: SUPPLY CHAIN IMPROVEMENTS\nSelect the stages of supply chain where improvements have been implemented."]
[null,null,true,true,true,true,true,true,true]
[null,null,"Production (post-harvest)","Transport (pre-processing)","Storage (pre-processing)","Processing","Transport (post-processing)","Storage (post-processing)","Retail"]
[null,"Description of supply chain activities and improvements.",{"$f":"IF(CommodityGroup=\"Animal Protein\", IF(Commodity=\"Milk (cattle)\", MilkFarmLossDescription, animalProteinFarmLossDescription),cropFarmLossDescription)","v":"Harvest and post-harvest losses (e.g. food preparation peeling, cutting, washing), plastic crates instead of bags for crops, temporary on-farm storage"},{"$f":"IF(CommodityGroup=\"Animal Protein\",IF(Commodity=\"Milk (cattle)\",MilkTransportLossDescription,animalProteinTransportLossDescription),cropTransportLossDescription)","v":"Losses during transport from farm to storage or sale"},{"$f":"IF(CommodityGroup=\"Animal Protein\", IF(Commodity=\"Milk (cattle)\", MilkStorageLossDescription, animalProteinStorageLossDescription),cropStorageLossDescription)","v":"Losses occuring in a dedicated storage facility (e.g. silos, warehouses, cooling facilities, etc.). May be on farm or off-site."},{"$f":"ProcessingLossDescription","v":"Losses during processing"},{"$f":"Transport2LossDescription","v":"Losses during transport from processing site"},{"$f":"Storage2LossDescription","v":"Losses occuring in a dedicated storage facility after being processed"},{"$f":"RetailLossDescription","v":"Losses occuring at retail sites"}]
[]
[null,"STEP 3: IMPROVEMENT DETAILS\nDescribe the projects implemented at each of the revelant stages of the value chain (optional)."]
[]
[null,"Supply Chain Stages",{"$f":"C$14","v":"Production (post-harvest)"},{"$f":"D$14","v":"Transport (pre-processing)"},"Storage (pre-processing)","Processing","Transport (post-processing)","Storage (post-processing)","Retail"]
[null,"Select main improvement (crops-only)","drop-down","drop-down","drop-down","drop-down","drop-down","drop-down","drop-down"]
[null,"Select main improvement (animal protein-only)","drop-down","drop-down","drop-down","drop-down","drop-down","drop-down","drop-down"]
[null,"Other improvements"]
[]
[null,"STEP 4: POST-IMPROVEMENT DETAILS \nEnter the amounts and loss rates associated with post improvement activities."]
[]
[null,"Supply Chain Stages",{"$f":"C$14","v":"Production (post-harvest)"},{"$f":"D$14","v":"Transport (pre-processing)"},"Storage (pre-processing)","Processing","Transport (post-processing)","Storage (post-processing)","Retail"]
[null,"Commodity total after the improvements*"]
[null,{"$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","Tonnes","Tonnes","Tonnes","Tonnes"]
[null,"Is amount reported net of food loss?*","Yes","Yes","Yes","Yes","Yes","Yes","Yes"]
[null,"Site/phase food loss rate after the project (%)*"]
[null,"Site/phase food loss rate before the project (%)"]
[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,"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 per year"]
[null,"Unit of measurement for nitrogen"]
[null,"Yield per year",null,"tonnes/hectare"]
[]
[null,"Advanced Transportation (pre-processing)  Enter inputs for A or B below, do not fill in both."]
[]
[null,"Distance travelled by the merchandise in the selected country",null,"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,"Advanced Storage (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 Transport (post-processing) Enter inputs for A or B below, do not fill in both."]
[]
[null,"Distance travelled by the merchandise in the selected country",null,"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,"Advanced Storage (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 Landfill Enter inputs for A or B below, do not fill in both."]
[]
[null,"Food losses going to landfill or thrown away along the supply chain (%)"]
[]
[null,"A) Emission factor"]
[null,"Emissions per tonne of commodity going to landfill",null,"tCO2e/tonne commodity"]
[]
[null,"B) Landfill type and climate"]
[null,"Landfill Type"]
[null,"Climate Zone"]
[]
[null,"STEP 5: Results"]
[null,"A. Summary 🔒"]
[]
[null,null,{"$f":"C$14","v":"Production (post-harvest)"},{"$f":"D$14","v":"Transport (pre-processing)"},"Storage (pre-processing)","Processing","Transport (post-processing)","Storage (post-processing)","Retail","Cumulative"]
[null,"Avoided losses per year",{"$f":"IFERROR(IF(farmLossAfter<>\"\",'Assumptions,Outputs,Results'!D10,0),\"\")","v":0},{"$f":"IFERROR(IF(transportLossAfter<>\"\",'Assumptions,Outputs,Results'!E10,0),\"\")","v":0},{"$f":"IFERROR(IF(storageLossAfter<>\"\",'Assumptions,Outputs,Results'!F10,0),\"\")","v":0},{"$f":"IFERROR(IF(processingLossAfter<>0,'Assumptions,Outputs,Results'!G10,0),\"\")","v":0},{"$f":"IFERROR(IF(transport2LossAfter<>\"\",'Assumptions,Outputs,Results'!H10,0),\"\")","v":0},{"$f":"IFERROR(IF(storage2LossAfter<>\"\",'Assumptions,Outputs,Results'!I10,0),\"\")","v":0},{"$f":"IFERROR(IF(distributionLossAfter<>\"\",'Assumptions,Outputs,Results'!J10,0),\"\")","v":0},{"$f":"SUM(C135:I135)","v":0},"tonnes"]
[null,"Improvement",{"$f":"IFERROR(IF(farmLossAfter<>\"\",('Assumptions,Outputs,Results'!D14-'Assumptions,Outputs,Results'!D17)/'Assumptions,Outputs,Results'!D14,0),0)","v":0},{"$f":"IFERROR(IF(transportLossAfter<>\"\",('Assumptions,Outputs,Results'!E14-'Assumptions,Outputs,Results'!E17)/'Assumptions,Outputs,Results'!E14,0),0)","v":0},{"$f":"IFERROR(IF(storageLossAfter<>\"\",('Assumptions,Outputs,Results'!F14-'Assumptions,Outputs,Results'!F17)/'Assumptions,Outputs,Results'!F14,0),0)","v":0},{"$f":"IFERROR(IF(processingLossAfter<>\"\",('Assumptions,Outputs,Results'!G14-'Assumptions,Outputs,Results'!G17)/'Assumptions,Outputs,Results'!G14,0),0)","v":0},{"$f":"IFERROR(IF(transport2LossAfter<>\"\",('Assumptions,Outputs,Results'!H14-'Assumptions,Outputs,Results'!H17)/'Assumptions,Outputs,Results'!H14,0),0)","v":0},{"$f":"IFERROR(IF(storage2LossAfter<>\"\",('Assumptions,Outputs,Results'!I14-'Assumptions,Outputs,Results'!I17)/'Assumptions,Outputs,Results'!I14,0),0)","v":0},{"$f":"IFERROR(IF(distributionLossAfter<>\"\",('Assumptions,Outputs,Results'!J14-'Assumptions,Outputs,Results'!J17)/'Assumptions,Outputs,Results'!J14,0),0)","v":0},null,"%"]
[]
[null,"GhG emissions saved per tonne of losses avoided",{"$f":"IFERROR(C139/C135,0)","v":0},{"$f":"IFERROR(D139/D135,0)","v":0},0,0,0,0,0,{"$f":"SUM(C138:I138)","v":0},"tCO2e/tonne"]
[null,"Total GHG emissions saved per phase per year",{"$f":"IFERROR('Assumptions,Outputs,Results'!D41,\"\")","v":""},{"$f":"IFERROR('Assumptions,Outputs,Results'!E41,\"\")","v":""},{"$f":"IFERROR('Assumptions,Outputs,Results'!F41,\"\")","v":""},{"$f":"IFERROR('Assumptions,Outputs,Results'!G41,\"\")","v":""},{"$f":"IFERROR('Assumptions,Outputs,Results'!H41,\"\")","v":""},{"$f":"IFERROR('Assumptions,Outputs,Results'!I41,\"\")","v":""},{"$f":"IFERROR('Assumptions,Outputs,Results'!J41,\"\")","v":""},{"$f":"SUM(C139:I139)","v":0},"tCO2e"]
[null,"Carbon Dioxide (CO2) Emissions saved",{"$f":"IFERROR(IF(farmLossAfter<>\"\",'Assumptions,Outputs,Results'!D43,0),\"\")","v":0},{"$f":"IFERROR(IF(transportLossAfter<>\"\",'Assumptions,Outputs,Results'!E43,0),\"\")","v":0},{"$f":"IFERROR(IF(storageLossAfter<>\"\",'Assumptions,Outputs,Results'!F43,0),\"\")","v":0},{"$f":"IFERROR(IF(processingLossAfter<>0,'Assumptions,Outputs,Results'!G43,0),\"\")","v":0},{"$f":"IFERROR(IF(transport2LossAfter<>\"\",'Assumptions,Outputs,Results'!H43,0),\"\")","v":0},{"$f":"IFERROR(IF(storage2LossAfter<>\"\",'Assumptions,Outputs,Results'!I43,0),\"\")","v":0},{"$f":"IFERROR(IF(distributionLossAfter<>\"\",'Assumptions,Outputs,Results'!J43,0),\"\")","v":0},{"$f":"SUM(C140:I140)","v":0},"tCO2e"]
[null,"Methane (CH4) Emissions saved",{"$f":"IFERROR(IF(farmLossAfter<>\"\",'Assumptions,Outputs,Results'!D44,0),\"\")","v":0},{"$f":"IFERROR(IF(transportLossAfter<>\"\",'Assumptions,Outputs,Results'!E44,0),\"\")","v":0},{"$f":"IFERROR(IF(storageLossAfter<>\"\",'Assumptions,Outputs,Results'!F44,0),\"\")","v":0},{"$f":"IFERROR(IF(processingLossAfter<>0,'Assumptions,Outputs,Results'!G44,0),\"\")","v":0},{"$f":"IFERROR(IF(transport2LossAfter<>\"\",'Assumptions,Outputs,Results'!H44,0),\"\")","v":0},{"$f":"IFERROR(IF(storage2LossAfter<>\"\",'Assumptions,Outputs,Results'!I44,0),\"\")","v":0},{"$f":"IFERROR(IF(distributionLossAfter<>\"\",'Assumptions,Outputs,Results'!J44,0),\"\")","v":0},{"$f":"SUM(C141:I141)","v":0},"tCO2e"]
[null,"Nitrous Oxide (N2O) Emissions saved",{"$f":"IFERROR(IF(farmLossAfter<>\"\",'Assumptions,Outputs,Results'!D45,0),\"\")","v":0},{"$f":"IFERROR(IF(transportLossAfter<>\"\",'Assumptions,Outputs,Results'!E45,0),\"\")","v":0},{"$f":"IFERROR(IF(storageLossAfter<>\"\",'Assumptions,Outputs,Results'!F45,0),\"\")","v":0},{"$f":"IFERROR(IF(processingLossAfter<>0,'Assumptions,Outputs,Results'!G45,0),\"\")","v":0},{"$f":"IFERROR(IF(transport2LossAfter<>\"\",'Assumptions,Outputs,Results'!H45,0),\"\")","v":0},{"$f":"IFERROR(IF(storage2LossAfter<>\"\",'Assumptions,Outputs,Results'!I45,0),\"\")","v":0},{"$f":"IFERROR(IF(distributionLossAfter<>\"\",'Assumptions,Outputs,Results'!J45,0),\"\")","v":0},{"$f":"SUM(C142:I142)","v":0},"tCO2e"]
[]
[null,"Total financial savings",{"$f":"IFERROR(C135*$C$10,0)","v":0},{"$f":"IFERROR(D135*$C$10,0)","v":0},{"$f":"IFERROR(E135*$C$10,0)","v":0},0,0,0,0,{"$f":"SUM(C144:I144)","v":0},"USD"]
[null,"Equivalent land area saved (hectares, crops only)",{"$f":"IF(CommodityGroup<>\"Animal Protein\",IFERROR(C135/IF(userYield>0,userYield,INDEX(userdefinedNorYield[#All],MATCH(Country,userdefinedNorYield[[Country]:[Country]],0),8)),0),\"\")","v":0},{"$f":"IF(CommodityGroup<>\"Animal Protein\",IFERROR(D135/IF(userYield>0,userYield,INDEX(userdefinedNorYield[#All],MATCH(Country,userdefinedNorYield[[Country]:[Country]],0),8)),0),\"\")","v":0},{"$f":"IF(CommodityGroup<>\"Animal Protein\",IFERROR(E135/IF(userYield>0,userYield,INDEX(userdefinedNorYield[#All],MATCH(Country,userdefinedNorYield[[Country]:[Country]],0),8)),0),\"\")","v":0},{"$f":"IF(CommodityGroup<>\"Animal Protein\",IFERROR(F135/IF(userYield>0,userYield,INDEX(userdefinedNorYield[#All],MATCH(Country,userdefinedNorYield[[Country]:[Country]],0),8)),0),\"\")","v":0},{"$f":"IF(CommodityGroup<>\"Animal Protein\",IFERROR(G135/IF(userYield>0,userYield,INDEX(userdefinedNorYield[#All],MATCH(Country,userdefinedNorYield[[Country]:[Country]],0),8)),0),\"\")","v":0},{"$f":"IF(CommodityGroup<>\"Animal Protein\",IFERROR(H135/IF(userYield>0,userYield,INDEX(userdefinedNorYield[#All],MATCH(Country,userdefinedNorYield[[Country]:[Country]],0),8)),0),\"\")","v":0},{"$f":"IF(CommodityGroup<>\"Animal Protein\",IFERROR(I135/IF(userYield>0,userYield,INDEX(userdefinedNorYield[#All],MATCH(Country,userdefinedNorYield[[Country]:[Country]],0),8)),0),\"\")","v":0},{"$f":"SUM(C145:I145)","v":0},"ha"]
[]
[null,"Additional comments",{"$f":"IFERROR(IF(AND(requireBeforeLossData=TRUE, Farm_LR_before=\"\"), \"Loss rate baseline for \"&Commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('Assumptions,Outputs,Results'!D17<'Assumptions,Outputs,Results'!D14,\nIF(Farm_LR_before=\"\",\"The results above are calculated using \"&'Assumptions,Outputs,Results'!D$16&\" 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.\"),\n\"The loss rate before the project (estimated from the \" & 'Assumptions,Outputs,Results'!D$16 &\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\")),\"Invalid data provided, please check your inputs\")","v":"Invalid data provided, please check your inputs"},{"$f":"IFERROR(IF(AND(requireBeforeLossData=TRUE, Transport_LR_before=\"\"), \"Loss rate baseline for \"&Commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('Assumptions,Outputs,Results'!E17<'Assumptions,Outputs,Results'!E14,\nIF(Transport_LR_before=\"\",\"The results above are calculated using \"&'Assumptions,Outputs,Results'!E$16&\" 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.\"),\n\"The loss rate before the project (estimated from the \" & 'Assumptions,Outputs,Results'!E$16 &\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\")), \"Invalid data provided, please check your inputs\")","v":"Invalid data provided, please check your inputs"},{"$f":"IFERROR(IF(AND(requireBeforeLossData=TRUE, Storage_LR_before=\"\"), \"Loss rate baseline for \"&Commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('Assumptions,Outputs,Results'!F17<'Assumptions,Outputs,Results'!F14,\nIF(Storage_LR_before=\"\",\"The results above are calculated using \"&'Assumptions,Outputs,Results'!F$16&\" 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.\"),\n\"The loss rate before the project (estimated from the \" & 'Assumptions,Outputs,Results'!F$16 &\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\")), \"Invalid data provided, please check your inputs\")","v":"Invalid data provided, please check your inputs"},{"$f":"IFERROR(IF(AND(requireBeforeLossData=TRUE, Processing_LR_before=\"\"), \"Loss rate baseline for \"&Commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('Assumptions,Outputs,Results'!G17<'Assumptions,Outputs,Results'!G14,\nIF(Processing_LR_before=\"\",\"The results above are calculated using \"&'Assumptions,Outputs,Results'!G$16&\" 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.\"),\n\"The loss rate before the project (estimated from the \" & 'Assumptions,Outputs,Results'!G$16 &\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\")), \"Invalid data provided, please check your inputs\")","v":"Invalid data provided, please check your inputs"},{"$f":"IFERROR(IF(AND(requireBeforeLossData=TRUE, Transport2_LR_before=\"\"), \"Loss rate baseline for \"&Commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('Assumptions,Outputs,Results'!H17<'Assumptions,Outputs,Results'!H14,\nIF(Transport2_LR_before=\"\",\"The results above are calculated using \"&'Assumptions,Outputs,Results'!H$16&\" 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.\"),\n\"The loss rate before the project (estimated from the \" & 'Assumptions,Outputs,Results'!H$16 &\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\")), \"Invalid data provided, please check your inputs\")","v":"Invalid data provided, please check your inputs"},{"$f":"IFERROR(IF(AND(requireBeforeLossData=TRUE, Storage2_LR_before=\"\"), \"Loss rate baseline for \"&Commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('Assumptions,Outputs,Results'!I17<'Assumptions,Outputs,Results'!I14,\nIF(Storage2_LR_before=\"\",\"The results above are calculated using \"&'Assumptions,Outputs,Results'!I$16&\" 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.\"),\n\"The loss rate before the project (estimated from the \" & 'Assumptions,Outputs,Results'!I$16 &\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\")), \"Invalid data provided, please check your inputs\")","v":"Invalid data provided, please check your inputs"},{"$f":"IFERROR(IF(AND(requireBeforeLossData=TRUE, Distribution_LR_before=\"\"), \"Loss rate baseline for \"&Commodity&\" not available. Please provide the food loss rate before the project.\",\nIF('Assumptions,Outputs,Results'!J17<'Assumptions,Outputs,Results'!J14,\nIF(Distribution_LR_before=\"\",\"The results above are calculated using \"&'Assumptions,Outputs,Results'!J$16&\" 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.\"),\n\"The loss rate before the project (estimated from the \" & 'Assumptions,Outputs,Results'!J$16 &\") is lower than the loss rate reported after the project, and it is therefore not possible to calculate emission savings. Please provide the actual food loss rate prior to implementing the project to improve the accuracy of this result.\")), \"Invalid data provided, please check your inputs\")","v":"Invalid data provided, please check your inputs"}]
[]
[]
["Results"]
[]
[null,"A. Summary"]
[]
[null,null,null,"Production","Transport","Storage",null,"Cumulative total"]
[null,null,"Avoided losses per year (tonnes)",null,null,null,"delete? >>",{"$f":"SUM(C135:E135)","v":0},"tonnes"]
[null,"WARNING: Please select production type for the tool to work","Total GhG emissions saved per phase per year (tonnes CO2e)",null,null,null,"delete? >>",{"$f":"'Assumptions,Outputs,Results'!F42","v":{"$error":"#N/A"}},"tonnes CO2e"]
[null,null,"Improvement (%)"]
[null,null,"Total financial savings (USD)",null,null,null,null,"GHG savings"]
[null,null,null,null,null,null,"delete? >>",{"$f":"IFERROR(H156/H155,\"\")","v":""},"tonnes CO2e/tonne"]
[null,null,"Additional  comments"]
[]
[]
[null,"B. Charts 🔒"]

{"sheet":"Default data","index":4,"n_rows":110,"n_cols":3,"rows_kept":110,"cut":false,"hidden":true,"merged":[]}
[null,"Default data"]
[]
[]
[null,"Advanced Post-harvest Production Details (Optional)"]
[]
[null,"Option a) Emission factor"]
[null,"Emissions per tonne",{"$f":"IF(CommodityGroup=\"Animal Protein\",'Assumptions,Outputs,Results'!H72,'Assumptions,Outputs,Results'!H64)","v":{"$error":"#N/A"}}]
[null,"% of CO2e coming from CH4",{"$f":"IF(CommodityGroup=\"Animal Protein\",'Assumptions,Outputs,Results'!I72,'Assumptions,Outputs,Results'!I64)/100","v":{"$error":"#N/A"}}]
[null,"% of CO2e coming from N2O",{"$f":"IF(CommodityGroup=\"Animal Protein\",'Assumptions,Outputs,Results'!J72,'Assumptions,Outputs,Results'!J64)/100","v":{"$error":"#N/A"}}]
[]
[null,"Option b) Synthetic Fertilizer information"]
[null,"Nitrogen Applied to Synthetic Fertilizer",{"$f":"IF(CommodityGroup=\"Animal Protein\",\"N/A for animal protein\",INDEX(userdefinedNorYield[Virtual kg N per tonne production (N2O-N -> N)],MATCH(Country,userdefinedNorYield[Country],0)))","v":{"$error":"#N/A"}}]
[null,"Unit of Measurement for Nitrogen","kg of Nitrogen per tonne of production (kg N/tonne)"]
[null,"Yield per Year",{"$f":"IF(CommodityGroup=\"Animal Protein\",\"N/A for animal protein\",INDEX(userdefinedNorYield[Virtual yield t/ha],MATCH(Country,userdefinedNorYield[Country],0)))","v":{"$error":"#N/A"}}]
[]
[]
[null,"Advanced Transportation (pre-processing) 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.)",{"$f":"TransportCalc!C6/2","v":{"$error":"#N/A"}}]
[]
[null,"Option a) Emission factor"]
[null,"Emissions factor type","Trip emissions (kg CO2e/tonne.km)"]
[null,"Emissions factor value",{"$f":"TransportCalc!D42","v":{"$error":"#N/A"}}]
[]
[null,"Option b) Information on transportation mode"]
[null,"Transport mode",{"$f":"TransportCalc!D7","v":"Truck"}]
[null,"Category",{"$f":"TransportCalc!D8","v":"Average (all trucks)"}]
[null,"Fuel type",{"$f":"TransportCalc!D9","v":"Diesel"}]
[null,"Temperature control",{"$f":"TransportCalc!D10","v":"Ambient"}]
[null,"Road conditions",{"$f":"IF(OR(transportModeSelectionDefault=\"Rail\",transportModeSelectionDefault=\"Ship\",transportModeSelectionDefault=\"Non-motorized\"),\"Not applicable\",INDEX(RoadConditionTable[Road conditions],MATCH(Country,RoadConditionTable[Country],0)))","v":{"$error":"#N/A"}}]
[]
[]
[null,"Advanced Storage (pre-processing) Details (Optional)"]
[]
[null,"Option a) Emission factor"]
[null,"Emissions per tonne",{"$f":"storageUserEF","v":0}]
[]
[null,"Option b) Information on temperature control"]
[null,"Is any dedicated storage ambient or temperature controlled, heated and/or chilled",{"$f":"IFERROR(IF(INDEX(Table22[Chilled?],MATCH(Commodity,Table22[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!D16","v":1.8669985775248937E-3}]
[null,"Natural gas consumption",{"$f":"Storage!E16","v":2.4027459954233414E-3}]
[]
[]
[null,"Advanced Processing Details (Optional)"]
[]
[null,"Option a) Emission factor"]
[null,"Emissions per tonne",{"$f":"IFERROR(INDEX(CommodityGroupEnergyPerKg[TOTAL EF kgCO2e/kg],MATCH(CommodityGroup,CommodityGroupEnergyPerKg[Unique Groups],0)),\"\")","v":""}]
[]
[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 Transport (post-processing) Details (Optional)"]
[]
[null,"Distance travelled by the merchandise in the selected country (leave blank to apply the national average.)",{"$f":"TransportCalc!C6/2","v":{"$error":"#N/A"}}]
[]
[null,"Please fill in data for one of the following options:"]
[]
[null,"Option a) Emission factor"]
[null,"Emissions factor type","Trip emissions (kg CO2e/tonne.km)"]
[null,"Emissions factor value (kgCO2e/tonne.km)",{"$f":"TransportCalc!C18","v":{"$error":"#N/A"}}]
[]
[null,"Option b) Information on transportation mode"]
[null,"Transport mode",{"$f":"TransportCalc!E7","v":"Truck"}]
[null,"Category",{"$f":"TransportCalc!E8","v":"Average (all trucks)"}]
[null,"Fuel type",{"$f":"TransportCalc!E9","v":"Diesel"}]
[null,"Temperature control",{"$f":"TransportCalc!E10","v":"Ambient"}]
[null,"Road conditions",{"$f":"INDEX(RoadConditionTable[Road conditions],MATCH(Country,RoadConditionTable[Country],0))","v":{"$error":"#N/A"}}]
[]
[]
[null,"Advanced Storage (post-processing) Details (Optional)"]
[]
[null,"Please fill in data for one of the following options:"]
[]
[null,"Option a) Emission factor"]
[null,"Emissions per tonne",{"$f":"storage2UserEF","v":0}]
[]
[null,"Option b) Information on temperature control"]
[null,"Is any dedicated storage ambient or temperature controlled, heated and/or chilled",{"$f":"IFERROR(IF(INDEX(Table22[Chilled?],MATCH(Commodity,Table22[Crop],0))=\"y\",\"Yes\",\"No\"),\"No\")","v":"No"}]
[]
[null,"Option c) Information on time in storage and energy consumption"]
[null,"Time in Storage",{"$f":"'Default data'!C42","v":0}]
[null,"Electricity consumption",{"$f":"Storage!D6","v":1.8669985775248937E-3}]
[null,"Natural gas consumption",{"$f":"Storage!D8","v":2.4027459954233414E-3}]
[]
[null,"Advanced Retail Details (Optional)"]
[]
[null,"Please fill in data for one of the following options:"]
[]
[null,"Option a) Emission factor"]
[null,"Emissions per tonne",{"$f":"IFERROR(INDEX(StoreEF[],MATCH(CONCATENATE(Country,CommodityGroup),StoreEF[CONCAT],0),7),\"\")","v":""}]
[]
[null,"Option b) Information on store type"]
[null,"Store type",{"$f":"Retail!B34","v":"Superstore (1400 to 5000 m2)"}]
[]
[null,"Advanced Landfill Details (Optional)"]
[]
[null,"Food losses going to landfill or thrown away along the supply chain (%)",{"$f":"'Landfill Calcs'!T8","v":{"$error":"#N/A"}}]
[]
[null,"Please fill in data for one of the following options:"]
[]
[null,"Option a) Emission factor"]
[null,"Emissions per tonne of commodity going to landfill",{"$f":"landfillEmissionsPerTonne","v":""}]
[]
[null,"Option b) Information on landfill type and climate"]
[null,"Landfill Type"]
[null,"Climate Zone",{"$f":"'Landfill Calcs'!T5","v":{"$error":"#N/A"}}]

{"sheet":"Assumptions,Outputs,Results","index":5,"n_rows":84,"n_cols":16,"rows_kept":84,"cut":false,"hidden":true,"merged":[[56,7,56,9],[63,5,63,6],[69,5,69,6],[70,5,70,6],[60,5,60,6],[68,5,68,6],[59,7,59,9],[67,7,67,9],[54,5,54,6],[46,3,46,5],[71,5,71,6],[55,5,55,6],[62,5,62,6],[61,5,61,6],[47,3,47,5]]}
[null,"Intermediate Results"]
[]
[null,null,null,"Farm","Transport","Storage"]
[null,"I. Food loss (tonnage)",null,"Production","Transport","Storage","Processing","Transport","Storage","Retail"]
[null,null,"Equivalent gross amount before the project per year (tonnes)",{"$f":"D$8/(1-'Assumptions,Outputs,Results'!D$14)","v":0},{"$f":"E$8/(1-E$14)","v":{"$error":"#N/A"}},{"$f":"F$8/(1-F$14)","v":{"$error":"#DIV/0!"}},{"$f":"G$8/(1-'Assumptions,Outputs,Results'!G$14)","v":0},{"$f":"H$8/(1-H$14)","v":{"$error":"#N/A"}},{"$f":"I$8/(1-I$14)","v":{"$error":"#DIV/0!"}},{"$f":"J$8/(1-'Assumptions,Outputs,Results'!J$14)","v":0}]
[null,null,"Equivalent waste before project per year (tonnes)",{"$f":"D$5*'Assumptions,Outputs,Results'!D$14","v":0},{"$f":"E$5*E$14","v":{"$error":"#N/A"}},{"$f":"F$5*'Assumptions,Outputs,Results'!F$14","v":{"$error":"#DIV/0!"}},{"$f":"G$5*'Assumptions,Outputs,Results'!G$14","v":0},{"$f":"H$5*H$14","v":{"$error":"#N/A"}},{"$f":"I$5*I$14","v":{"$error":"#DIV/0!"}},{"$f":"J$5*'Assumptions,Outputs,Results'!J$14","v":0}]
[null,null,"Amount gross of food losses per year (tonnes) - after the project",{"$f":"IF(Interface!C$28=\"Tonnes\",\nIF(Interface!C$29=\"Yes\", Interface!C$27/(1-Interface!C$30),Interface!C$27),\nIF(Interface!C$29=\"Yes\", (Interface!C$27/1000)/(1-Interface!C$30),Interface!C$27/1000))","v":0},{"$f":"IF(Interface!D$28=\"Tonnes\",\nIF(Interface!D$29=\"Yes\",Interface!D$27/(1-Interface!D$30),Interface!D$27),\nIF(Interface!D$29=\"Yes\",(Interface!D$27/1000)/(1-Interface!D$30),Interface!D$27/1000))","v":0},{"$f":"IF(Interface!E$28=\"Tonnes\",\nIF(Interface!E$29=\"Yes\",Interface!E$27/(1-Interface!E$30),Interface!E$27),\nIF(Interface!E$29=\"Yes\",(Interface!E$27/1000)/(1-Interface!E$30),Interface!E$27/1000))","v":0},{"$f":"IF(processingUnitsAfter=\"Tonnes\",\nIF(processingNetAfter=\"Yes\",processingAmountAfter/(1-processingLossAfter),processingAmountAfter),\nIF(processingNetAfter=\"Yes\",(processingAmountAfter/1000)/(1-processingLossAfter),processingAmountAfter/1000))","v":0},{"$f":"IF(Interface!G$28=\"Tonnes\",\nIF(Interface!G$29=\"Yes\",Interface!G$27/(1-Interface!G$30),Interface!G$27),\nIF(Interface!G$29=\"Yes\",(Interface!G$27/1000)/(1-Interface!G$30),Interface!G$27/1000))","v":0},{"$f":"IF(Interface!H$28=\"Tonnes\",\nIF(Interface!H$29=\"Yes\",Interface!H$27/(1-Interface!H$30),Interface!H$27),\nIF(Interface!H$29=\"Yes\",(Interface!H$27/1000)/(1-Interface!H$30),Interface!H$27/1000))","v":0},{"$f":"IF(distributionUnitsAfter=\"Tonnes\",\nIF(distributionNetAfter=\"Yes\",distributionAmountAfter/(1-distributionLossAfter),distributionAmountAfter),\nIF(distributionNetAfter=\"Yes\",(distributionAmountAfter/1000)/(1-distributionLossAfter),distributionAmountAfter/1000))","v":0}]
[null,null,"Amount net of food losses per year (tonnes) - after the project",{"$f":"IF(Interface!C$28=\"Tonnes\",\nIF(Interface!C$29=\"No\",Interface!C$27*(1-Interface!C$30),Interface!C$27),\nIF(Interface!C$29=\"No\",(Interface!C$27/1000)*(1-Interface!C$30),Interface!C$27/1000))","v":0},{"$f":"IF(Interface!D$28=\"Tonnes\",\nIF(Interface!D$29=\"No\",Interface!D$27*(1-Interface!D$30),Interface!D$27),\nIF(Interface!D$29=\"No\", (Interface!D$27/1000)*(1-Interface!D$30), Interface!D$27/1000))","v":0},{"$f":"IF(Interface!E$28=\"Tonnes\",\nIF(Interface!E$29=\"No\",Interface!E$27*(1-Interface!E$30),Interface!E$27),\nIF(Interface!E$29=\"No\",(Interface!E$27/1000)*(1-Interface!E$30), Interface!E$27/1000))","v":0},{"$f":"IF(processingUnitsAfter=\"Tonnes\",\nIF(processingNetAfter=\"No\",processingAmountAfter*(1-processingLossAfter),processingAmountAfter),\nIF(processingNetAfter=\"No\",(processingAmountAfter/1000)*(1-processingLossAfter),processingAmountAfter/1000))","v":0},{"$f":"IF(Interface!G$28=\"Tonnes\",\nIF(Interface!G$29=\"No\",Interface!G$27*(1-Interface!G$30),Interface!G$27),\nIF(Interface!G$29=\"No\", (Interface!G$27/1000)*(1-Interface!G$30), Interface!G$27/1000))","v":0},{"$f":"IF(Interface!H$28=\"Tonnes\",\nIF(Interface!H$29=\"No\",Interface!H$27*(1-Interface!H$30),Interface!H$27),\nIF(Interface!H$29=\"No\", (Interface!H$27/1000)*(1-Interface!H$30), Interface!H$27/1000))","v":0},{"$f":"IF(distributionUnitsAfter=\"Tonnes\",\nIF(distributionNetAfter=\"No\",distributionAmountAfter*(1-distributionLossAfter),distributionAmountAfter),\nIF(distributionNetAfter=\"No\",(distributionAmountAfter/1000)*(1-distributionLossAfter),distributionAmountAfter/1000))","v":0}]
[null,null,"Waste after project per year (tonnes)",{"$f":"D$7-D$8","v":0},0,0,0,0,0,0]
[null,null,"Avoided losses per year (tonnes)",{"$f":"MAX(D6-D9, 0)","v":0},{"$error":"#N/A"},{"$error":"#DIV/0!"},0,{"$error":"#N/A"},{"$error":"#DIV/0!"},0]
[]
[]
[null,"II. Food loss (rates)",null,"Production","Transport","Storage","Processing","Transport","Storage","Retail"]
[null,null,"Commodity loss rate before the project (%)",{"$f":"IF(productionSelector,IF(Farm_LR_before<>\"\",Farm_LR_before,\nIF(D20<>\"\",D20,\nIF(D21<>\"\",D21,\nMIN(D22:D25)\n))),0)","v":0},{"$f":"IF(transportSelector,IF(Transport_LR_before<>\"\",\nTransport_LR_before,\nTransportCalc!$D$55*\nIF(E20<>\"\",E20,\nIF(E21<>\"\",E21,\nMIN(E22:E25)\n))),0)","v":{"$error":"#N/A"}},{"$f":"IF(storageSelector,IF(Storage_LR_before<>\"\",Storage_LR_before,\nStorage!$I$12*\nIF(F20<>\"\",F20,\nIF(F21<>\"\",F21,\nMIN(F22:F25)\n))),0)","v":{"$error":"#DIV/0!"}},{"$f":"IF(processingSelector,IF(Processing_LR_before<>\"\",Processing_LR_before,\nIF(G20<>\"\",G20,\nIF(G21<>\"\",G21,\nMIN(G22:G25)\n))),0)","v":0},{"$f":"IF(transport2Selector,IF(Transport2_LR_before<>\"\",Transport2_LR_before,\nTransportCalc!$E$55*\nIF(H20<>\"\",H20,\nIF(H21<>\"\",H21,\nIF(H22<>\"\",H22,\nIF(H23<>\"\",H23,\nIF(H24<>\"\",H24,\nIF(H25<>\"\",H25,\n))))))),0)","v":{"$error":"#N/A"}},{"$f":"IF(storage2Selector,IF(Storage2_LR_before<>\"\",Storage2_LR_before,\nStorage!$J$12*\nIF(I20<>\"\",I20,\nIF(I21<>\"\",I21,\nMIN(I22:I25)))),0)","v":{"$error":"#DIV/0!"}},{"$f":"IF(distributionSelector,IF(Distribution_LR_before<>\"\",Distribution_LR_before,\nIF(J20<>\"\",J20,\nIF(J21<>\"\",J21,\nMIN(J22:J25)\n))),0)","v":0}]
[]
[null,null,"Data source",{"$f":"IF(Farm_LR_before<>\"\",\"User input value\",\nIF(D20<>\"\",$C20,\nIF(D21<>\"\",$C21,\nINDEX($C$22:$C$25,MATCH(MIN(D22:D25),D22:D25,0)))))","v":{"$error":"#N/A"}},{"$f":"IF(Transport_LR_before<>\"\",\"User input value\",\nIF(E20<>\"\",$C20,\nIF(E21<>\"\",$C21,\nINDEX($C$22:$C$25,MATCH(MIN(E22:E25),E22:E25,0)))))","v":{"$error":"#N/A"}},{"$f":"IF(Storage_LR_before<>\"\",\n\"User input value\",\nIF(F20<>\"\",$C20,\nIF(F21<>\"\",$C21,\nINDEX($C$22:$C$25,MATCH(MIN(F22:F25),F22:F25,0)))))","v":{"$error":"#N/A"}},{"$f":"IF(Processing_LR_before<>\"\",\n\"User input value\",\nIF(G20<>\"\",$C20,\nIF(G21<>\"\",$C21,\nINDEX($C$22:$C$25,MATCH(MIN(G22:G25),G22:G25,0)))))","v":{"$error":"#N/A"}},{"$f":"IF(transport2Selector,IF(Transport2_LR_before<>\"\",\n\"User input value\",\nIF(H20<>\"\",$C20,\nIF(H21<>\"\",$C21,\nINDEX($C$22:$C$25,MATCH(MIN(H22:H25),H22:H25,0))))))","v":{"$error":"#N/A"}},{"$f":"IF(transport2Selector,IF(Transport2_LR_before<>\"\",\"User input value\",\nIF(I20<>\"\",$C20,\nIF(I21<>\"\",$C21,\nINDEX($C$22:$C$25,MATCH(MIN(I22:I25),I22:I25,0))))),\"\")","v":{"$error":"#N/A"}},{"$f":"IF(Distribution_LR_before<>\"\",\"User input value\",\nIF(J20<>\"\",$C20,\nIF(J21<>\"\",$C21,\nINDEX($C$22:$C$25,MATCH(MIN(J22:J25),J22:J25,0)))))","v":{"$error":"#N/A"}}]
[null,null,"Commodity loss rate after the project (%)",{"$f":"IF(productionSelector,farmLossAfter,0)","v":0},{"$f":"IF(transportSelector,transportLossAfter,0)","v":0},{"$f":"IF(storageSelector,storageLossAfter,\"\")","v":0},{"$f":"IF(processingSelector,processingLossAfter,\"\")","v":0},{"$f":"IF(transport2Selector,transport2LossAfter,\"\")","v":0},{"$f":"IF(storage2Selector,storage2LossAfter,\"\")","v":0},{"$f":"IF(distributionSelector,distributionLossAfter,\"\")","v":0}]
[]
[null,null,"National / regional estimates (FAO)","Production","Transport","Storage","Processing","Transport","Storage","Retail"]
[null,null,{"$f":"IFERROR(\"IFC custom food loss rate (\"&\nINDEX(LossRateUserDatabase[Country/Region name], IFERROR(MATCH(Country&Commodity&D$4, LossRateUserDatabase[Concat\n(do not edit)], 0), IFERROR(MATCH(Country&Commodity&E$4, LossRateUserDatabase[Concat\n(do not edit)], 0), IFERROR(MATCH(Country&Commodity&F$4, LossRateUserDatabase[Concat\n(do not edit)], 0),IFERROR(MATCH(Region&Commodity&D$4, LossRateUserDatabase[Concat\n(do not edit)], 0),IFERROR(MATCH(Region&Commodity&E$4, LossRateUserDatabase[Concat\n(do not edit)], 0),IFERROR(MATCH(Region&Commodity&F$4, LossRateUserDatabase[Concat\n(do not edit)], 0),\"\")))))))\n&\n \"/\" & Commodity &\")\",\n\"IFC custom food loss rate (\"&Country&\"/\"&Commodity&\")\")","v":"IFC custom food loss rate (/)"},{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Country&Commodity&D$4, LossRateUserDatabase[Concat\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Region&Commodity&D$4, LossRateUserDatabase[Concat\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Country&Commodity&E$4, LossRateUserDatabase[Concat\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Region&Commodity&E$4, LossRateUserDatabase[Concat\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Country&Commodity&F$4, LossRateUserDatabase[Concat\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Region&Commodity&F$4, LossRateUserDatabase[Concat\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Country&Commodity&G$4, LossRateUserDatabase[Concat\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Region&Commodity&G$4, LossRateUserDatabase[Concat\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Country&Commodity&H$4, LossRateUserDatabase[Concat\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Region&Commodity&H$4, LossRateUserDatabase[Concat\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Country&Commodity&I$4, LossRateUserDatabase[Concat\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Region&Commodity&I$4, LossRateUserDatabase[Concat\n(do not edit)], 0))),\n\"\")","v":""},{"$f":"IFERROR(\nIFERROR(\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Country&Commodity&J$4, LossRateUserDatabase[Concat\n(do not edit)], 0)),\nINDEX(LossRateUserDatabase[Loss rate], MATCH(Region&Commodity&J$4, LossRateUserDatabase[Concat\n(do not edit)], 0))),\n\"\")","v":""},">>"]
[null,null,{"$f":"\"FAO Food Loss database (\"& Country & \"/\" & Commodity &\")\"","v":"FAO Food Loss database (/)"},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$B$9,\"Country\",Country,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",D$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$B$9,\"Country\",Country,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",E$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$B$9,\"Country\",Country,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",F$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$B$9,\"Country\",Country,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",G$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$B$9,\"Country\",Country,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",H$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$B$9,\"Country\",Country,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",I$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$B$9,\"Country\",Country,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",J$4))/100,\"\")","v":""}]
[null,null,{"$f":"\"FAO Food Loss database (\"&Country&\"/\"&CommodityGroup&\")\"","v":"FAO Food Loss database (/)"},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$G$9,\"Country\",Country,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",D$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$G$9,\"Country\",Country,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",E$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$G$9,\"Country\",Country,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",F$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$G$9,\"Country\",Country,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",G$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$G$9,\"Country\",Country,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",H$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$G$9,\"Country\",Country,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",I$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$G$9,\"Country\",Country,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",J$4))/100,\"\")","v":""}]
[null,null,{"$f":"\"FAO Food Loss database (\"&impliedUNsubregion&\"/\"&Commodity&\")\"","v":{"$error":"#N/A"}},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$L$9,\"UN sub-region\",impliedUNsubregion,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",D$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$L$9,\"UN sub-region\",impliedUNsubregion,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",E$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$L$9,\"UN sub-region\",impliedUNsubregion,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",F$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$L$9,\"UN sub-region\",impliedUNsubregion,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",G$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$L$9,\"UN sub-region\",impliedUNsubregion,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",H$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$L$9,\"UN sub-region\",impliedUNsubregion,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",I$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$L$9,\"UN sub-region\",impliedUNsubregion,\"IFC Commodity\",Commodity,\"IFC Supply Chain Stage\",J$4))/100,\"\")","v":""}]
[null,null,{"$f":"\"FAO Food Loss database (\"&impliedUNsubregion&\"/\"&impliedFAOcommgroup&\")\"","v":{"$error":"#N/A"}},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$Q$9,\"UN sub-region\",impliedUNsubregion,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",D$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$Q$9,\"UN sub-region\",impliedUNsubregion,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",E$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$Q$9,\"UN sub-region\",impliedUNsubregion,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",F$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$Q$9,\"UN sub-region\",impliedUNsubregion,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",G$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$Q$9,\"UN sub-region\",impliedUNsubregion,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",H$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$Q$9,\"UN sub-region\",impliedUNsubregion,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",I$4))/100,\"\")","v":""},{"$f":"IFERROR((GETPIVOTDATA(\"loss_percentage\",Nat_Avg!$Q$9,\"UN sub-region\",impliedUNsubregion,\"IFC Category\",CommodityGroup,\"IFC Supply Chain Stage\",J$4))/100,\"\")","v":""}]
[null,null,{"$f":"\"FAO estimate (\"& impliedFAOregion & \"/\" & impliedFAOcommgroup & \")\"","v":{"$error":"#N/A"}},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",Nat_Avg!$V$9,\"FAO Wider Region\",impliedFAOregion,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",D$4),\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",Nat_Avg!$V$9,\"FAO Wider Region\",impliedFAOregion,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",E$4),\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",Nat_Avg!$V$9,\"FAO Wider Region\",impliedFAOregion,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",F$4),\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",Nat_Avg!$V$9,\"FAO Wider Region\",impliedFAOregion,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",G$4),\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",Nat_Avg!$V$9,\"FAO Wider Region\",impliedFAOregion,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",H$4),\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",Nat_Avg!$V$9,\"FAO Wider Region\",impliedFAOregion,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",I$4),\"\")","v":""},{"$f":"IFERROR(GETPIVOTDATA(\"Waste (%)\",Nat_Avg!$V$9,\"FAO Wider Region\",impliedFAOregion,\"FAO Commodity group\",impliedFAOcommgroup,\"IFC Supply Chain stage\",J$4),\"\")","v":""}]
[]
[null,null,"Average national rate (%)",{"$f":"IF(productionSelector,\nIF(D21<>\"\",D21,\nMIN(D22:D25)\n),0)","v":0},{"$f":"IF(transportSelector,\nTransportCalc!$D$55*\nIF(E21<>\"\",E21,\nMIN(E22:E25)),0)","v":{"$error":"#N/A"}},{"$f":"IF(storageSelector,\nStorage!$I$12*\nIF(F21<>\"\",F21,\nMIN(F22:F25)),0)","v":{"$error":"#DIV/0!"}},{"$f":"IF(processingSelector,\nIF(G21<>\"\",G21,\nMIN(G22:G25)),0)","v":0},{"$f":"IF(transport2Selector,\nTransportCalc!$E$55*\nIF(H21<>\"\",H21,\nMIN(H22:H25)),0)","v":{"$error":"#N/A"}},{"$f":"IF(storage2Selector,\nStorage!$J$12*\nIF(I21<>\"\",I21,\nMIN(I22:I25)),0)","v":{"$error":"#DIV/0!"}},{"$f":"IF(distributionSelector,\nIF(J21<>\"\",J21,\nMIN(J22:J25)),0)","v":0}]
[null,null,"Data source",{"$f":"IF(D20<>\"\",$C20,\nIF(D21<>\"\",$C21,\nINDEX($C$22:$C$25,MATCH(MIN(D22:D25),D22:D25,0))))","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[]
[]
[null,"III. Equivalent CO2 emission savings",null,"Production","Transport","Storage","Processing","Transport","Storage","Retail"]
[null,null,"Avoided losses equivalent CO2 emissions per year (tonnes)",{"$f":"IF(productionSelector,Interface!C135*$H$56,0)","v":{"$error":"#N/A"}},{"$f":"IF(transportSelector,Interface!D135*$H$56,0)","v":{"$error":"#N/A"}},{"$f":"IF(storageSelector,Interface!E135*$H$56,0)","v":{"$error":"#N/A"}},{"$f":"IF(processingSelector,Interface!F135*$H$56,0)","v":{"$error":"#N/A"}},{"$f":"IF(transport2Selector,Interface!G135*$H$56,0)","v":{"$error":"#N/A"}},{"$f":"IF(storage2Selector,Interface!H135*$H$56,0)","v":{"$error":"#N/A"}},{"$f":"IF(distributionSelector,Interface!I135*$H$56,0)","v":{"$error":"#N/A"}}]
[null,null,"Landfill equivalent CO2 emissions per year (tonnes)",{"$f":"IF(productionSelector,Interface!C135*defaultWasteToLandfill*landfillEmissionsPerTonne,0)","v":{"$error":"#N/A"}},{"$f":"IF(transportSelector,Interface!D135*defaultWasteToLandfill*landfillEmissionsPerTonne,0)","v":{"$error":"#N/A"}},{"$f":"IF(storageSelector,Interface!E135*defaultWasteToLandfill*landfillEmissionsPerTonne,0)","v":{"$error":"#N/A"}},{"$f":"IF(processingSelector,Interface!F135*defaultWasteToLandfill*landfillEmissionsPerTonne,0)","v":{"$error":"#N/A"}},{"$f":"IF(transport2Selector,Interface!G135*defaultWasteToLandfill*landfillEmissionsPerTonne,0)","v":{"$error":"#N/A"}},{"$f":"IF(storage2Selector,Interface!H135*defaultWasteToLandfill*landfillEmissionsPerTonne,0)","v":{"$error":"#N/A"}},{"$f":"IF(distributionSelector,Interface!I135*defaultWasteToLandfill*landfillEmissionsPerTonne,0)","v":{"$error":"#N/A"}}]
[null,null,"Transport equivalent CO2e emissions per year (tonnes)",0,{"$f":"IF(transportSelector,Interface!D135*M37,0)","v":{"$error":"#N/A"}},{"$f":"IF(storageSelector,Interface!E135*M37,0)","v":{"$error":"#N/A"}},{"$f":"IF(processingSelector,Interface!F135*$M$37,0)","v":{"$error":"#N/A"}},{"$f":"IF(transport2Selector,Interface!G135*$M$37,0)","v":{"$error":"#N/A"}},{"$f":"IF(storage2Selector,Interface!H135*$M$37,0)","v":{"$error":"#N/A"}},{"$f":"IF(distributionSelector,Interface!I135*$M$37,0)","v":{"$error":"#N/A"}}]
[null,null,"Storage equivalent CO2 emissions per year (tonnes)",0,0,{"$f":"IF(storageSelector,IF(storageUserEF, storageUserEF, storageDefaultEF)*Interface!E135,0)","v":0},{"$f":"IF(processingSelector,Interface!F135*$M$39,0)","v":0},{"$f":"IF(transport2Selector,Interface!G135*IF(storageUserEF, storageUserEF, storageDefaultEF),0)","v":0},{"$f":"IF(storage2Selector,Interface!H135*IF(storageUserEF, storageUserEF, storageDefaultEF),0)","v":0},{"$f":"IF(distributionSelector,Interface!I135*IF(storageUserEF, storageUserEF, storageDefaultEF),0)","v":0}]
[null,null,"Processing equivalent CO2 emissions per year (tonnes)",null,null,null,{"$f":"IF(processingSelector,VLOOKUP(CommodityGroup,CommodityGroupEnergyPerKg[],6,FALSE)*Interface!F135,0)","v":{"$error":"#N/A"}},{"$f":"IF(transport2Selector,Interface!G135*$M$42,0)","v":{"$error":"#N/A"}},{"$f":"IF(storage2Selector,Interface!H135*$M$42,0)","v":{"$error":"#N/A"}},{"$f":"IF(distributionSelector,Interface!I135*$M$42,0)","v":{"$error":"#N/A"}},null,null,"Total (CO2e)","CO2 (CO2e)","CH4 (CO2e)","N2O (CO2e)"]
[null,null,"Transport (secondary) equivalent CO2 emissions per year (tonnes)",null,null,null,null,{"$f":"IF(transport2Selector,Interface!G135*$M$38,\"\")","v":{"$error":"#N/A"}},{"$f":"IF(storage2Selector,Interface!H135*$M$38,0)","v":{"$error":"#N/A"}},{"$f":"IF(distributionSelector,Interface!I135*$M$38,0)","v":{"$error":"#N/A"}},null,"Transport (phase 1) equivalent CO2e emissions per tonne per year",{"$f":"SUM(N37:P37)","v":{"$error":"#N/A"}},{"$f":"TransportCalc!D43","v":{"$error":"#N/A"}},{"$f":"TransportCalc!D44","v":{"$error":"#N/A"}},{"$f":"TransportCalc!D45","v":{"$error":"#N/A"}}]
[null,null,"Storage (secondary) equivalent CO2 emissions per year (tonnes)",null,null,null,null,null,{"$f":"IF(storage2Selector,IF(storage2UserEF, storage2UserEF, storage2DefaultEF)*Interface!H135,0)","v":0},{"$f":"IF(distributionSelector,Interface!I135*$M$41,0)","v":0},null,"Transport (phase 2) equivalent CO2e emissions per tonne per year",{"$f":"SUM(N38:P38)","v":{"$error":"#N/A"}},{"$f":"TransportCalc!E43","v":{"$error":"#N/A"}},{"$f":"TransportCalc!E44","v":{"$error":"#N/A"}},{"$f":"TransportCalc!E45","v":{"$error":"#N/A"}}]
[null,null,"Retail/Distribution equivalent CO2 emissions per year (tonnes)",null,null,null,null,null,null,{"$f":"IF(distributionSelector,M43*Interface!I135,0)","v":{"$error":"#N/A"}},null,"Storage (default) equivalent CO2e emissions per tonne per year",{"$f":"storageDefaultEF","v":0}]
[null,null,"Upstream equivalent CO2 emissions per year (tonnes)",0,{"$f":"IF(noPreProcessing,0,E32)","v":{"$error":"#N/A"}},{"$f":"IF(noPreProcessing,0,SUM(F32,F34))","v":{"$error":"#N/A"}},{"$f":"SUM(G32,G34:G35)","v":{"$error":"#N/A"}},{"$f":"SUM(H32,H34:H36)","v":{"$error":"#N/A"}},{"$f":"SUM(I32,I34:I37)","v":{"$error":"#N/A"}},{"$f":"SUM(J32,J34:J38)","v":{"$error":"#N/A"}},null,"Storage (stage 1) equivalent CO2 e emissions per tonne per year",{"$f":"storageUserEF","v":0}]
[null,null,"TOTAL stage equivalent CO2 emissions per year (tonnes)",{"$f":"IF(noPreProcessing,0,SUM(D32:D39))","v":{"$error":"#N/A"}},{"$f":"IF(noPreProcessing,0,SUM(E32:E39))","v":{"$error":"#N/A"}},{"$f":"IF(noPreProcessing,0,SUM(F32:F39))","v":{"$error":"#N/A"}},{"$f":"SUM(G32:G39)","v":{"$error":"#N/A"}},{"$f":"SUM(H32:H39)","v":{"$error":"#N/A"}},{"$f":"SUM(I32:I39)","v":{"$error":"#N/A"}},{"$f":"SUM(J32:J39)","v":{"$error":"#N/A"}},null,"Storage (stage 2) equivalent CO2ee emissions per tonne per year",{"$f":"storage2UserEF","v":0}]
[null,null,"Cumulative equivalent GhG emissions saved per year (tonnes CO2e)",{"$f":"D41","v":{"$error":"#N/A"}},{"$f":"IF(noPreProcessing,0,IF(productionSelector,D42,0))\n+IF(transportSelector,E41,0)","v":{"$error":"#N/A"}},{"$f":"IF(noPreProcessing,0,IF(productionSelector,D42,0))\n+IF(transportSelector,E42-D42,0)\n+IF(storageSelector,F41,0)","v":{"$error":"#N/A"}},{"$f":"IF(productionSelector,D42,0)\n+IF(transportSelector,E42-D42,0)\n+IF(storageSelector,F42-E42,0)\n+IF(processingSelector,G41,0)","v":{"$error":"#N/A"}},{"$f":"IF(productionSelector,D42,0)\n+IF(transportSelector,E42-D42,0)\n+IF(storageSelector,F42-E42,0)\n+IF(storageSelector,G42-F42,0)\n+IF(processingSelector,H41,0)","v":{"$error":"#N/A"}},{"$f":"IF(productionSelector,D42,0)\n+IF(transportSelector,E42-D42,0)\n+IF(storageSelector,F42-E42,0)\n+IF(storageSelector,G42-F42,0)\n+IF(storageSelector,H42-G42,0)\n+IF(processingSelector,I41,0)","v":{"$error":"#N/A"}},{"$f":"IF(productionSelector,D42,0)\n+IF(transportSelector,E42-D42,0)\n+IF(storageSelector,F42-E42,0)\n+IF(processingSelector,G42-F42,0)\n+IF(processingSelector,H42-G42,0)\n+IF(processingSelector,I42-H42,0)\n+IF(distributionSelector,J41,0)","v":{"$error":"#N/A"}},null,"Processing equivalent CO2ee emissions per tonne per year",{"$f":"INDEX(CommodityGroupEnergyPerKg[],MATCH(CommodityGroup,CommodityGroupEnergyPerKg[Unique Groups],0),6)","v":{"$error":"#N/A"}}]
[null,null,"Emissions from CO2 (CO2e)",{"$f":"D41-SUM(D44:D45)","v":{"$error":"#N/A"}},{"$f":"E41-SUM(E44:E45)","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},null,"Retail equivalent CO2ee emissions per tonne per year",{"$f":"IF(distributionUserDefinedEF<>\"\",distributionUserDefinedEF,INDEX(StoreEF[],MATCH(CONCATENATE(Country,CommodityGroup),StoreEF[CONCAT],0),6))","v":{"$error":"#N/A"}}]
[null,null,"Emissions from CH4 (CO2e)",{"$f":"IF(noPreProcessing,0,IF(productionSelector,D$10*I56,0)+D33)","v":{"$error":"#N/A"}},{"$f":"IF(noPreProcessing,0,IF(transportSelector,(E$10*$I$56)+(E$10*$O$37)+E$33,0))","v":{"$error":"#N/A"}},{"$f":"IF(noPreProcessing,0,IF(storageSelector,(F$10*$I$56)+(F$10*$O$37)+F$33,0))","v":{"$error":"#DIV/0!"}},{"$f":"IF(processingSelector,(G$10*$I$56)+(G$10*$O$37)+G$33,0)","v":{"$error":"#N/A"}},{"$f":"IF(transport2Selector,(H$10*$I$56)+(H$10*$O$37)+(H$10*$O$38)+H$33,0)","v":{"$error":"#N/A"}},{"$f":"IF(storage2Selector,(I$10*$I$56)+(I$10*$O$38)+(I$10*$O$37)+I$33,0)","v":{"$error":"#DIV/0!"}},{"$f":"IF(distributionSelector,(J$10*$I$56)+(J$10*$O$37)+(I$10*$O$38)+J$33,0)","v":{"$error":"#N/A"}}]
[null,null,"Emissions from N2O (CO2e)",{"$f":"IF(noPreProcessing,0,IF(productionSelector,D$10*J56,0))","v":{"$error":"#N/A"}},{"$f":"IF(noPreProcessing,0,IF(transportSelector,(E$10*$J$56)+(E$10*$P$37),0))","v":{"$error":"#N/A"}},{"$f":"IF(noPreProcessing,0,IF(storageSelector,(F$10*$J$56)+(F$10*$P$37),0))","v":{"$error":"#DIV/0!"}},{"$f":"IF(processingSelector,(G$10*$J$56)+(G$10*$P$37),0)","v":{"$error":"#N/A"}},{"$f":"IF(transport2Selector,(H$10*$J$56)+(H$10*$P$37)+(H$10*$P$38),0)","v":{"$error":"#N/A"}},{"$f":"IF(storage2Selector,(I$10*$J$56)+(I$10*$P$37)+(I$10*$P$38),0)","v":{"$error":"#DIV/0!"}},{"$f":"IF(distributionSelector,(J$10*$J$56)+(J$10*$P$37)+(I$10*$P$38),0)","v":{"$error":"#N/A"}},null,"If meat or flour, don't report pre-processing",{"$f":"IF(OR(AND(CommodityGroup=\"Animal Protein\",Commodity<>\"Milk (cattle)\",Commodity<>\"Eggs\"),Commodity=\"Flour\"),TRUE,FALSE)","v":false}]
[]
[null,null,"Additional  comments",{"$f":"CONCATENATE(\"Emission Factor: '\",H57,\"' was used. \",IF(H57=\"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,"V. Other labels"]
[null,null,"Implied UN sub-region",{"$f":"INDEX(UNcountrycodes[Sub-region Name],MATCH(Country,UNcountrycodes[Country or Area],0))","v":{"$error":"#N/A"}},null,"WARNING: Please select production type",null,"Total CO2e (tCO2e/t)","Total CO2e from CH4(tCO2e/t)","Total CO2e from N2O (tCO2e/t)"]
[null,null,"Implied FAO region",{"$f":"INDEX(RegionClassification[FAO region],MATCH(impliedUNsubregion,RegionClassification[UN region],0))","v":{"$error":"#N/A"}},null,"Emission Factor used",null,{"$f":"IF(CommodityGroup=\"Animal Protein\", H69, H61)","v":{"$error":"#N/A"}},{"$f":"IF(CommodityGroup=\"Animal Protein\", I69, I61)","v":{"$error":"#N/A"}},{"$f":"IF(CommodityGroup=\"Animal Protein\", J69, J61)","v":{"$error":"#N/A"}}]
[null,null,"Implied commodity group",{"$f":"VLOOKUP(Commodity,IFC_Commodity_CommodityGroup[],3,FALSE)","v":{"$error":"#N/A"}},null,null,"Type of tool calculation for Emission Factor",{"$f":"IF(CommodityGroup=\"Animal Protein\", H68, H60)","v":{"$error":"#N/A"}}]
[]
[null,null,null,null,null,"Crops"]
[null,null,"Food Loss Rate not available",null,null,null,"Type of tool calculation for Emission Factor",{"$f":"IF(H62>0, \"User defined Emission Factor\",\nIF(H63>0, \"Updated database Emission Factor\",\nINDEX(GHG_Crops_Summary[Type of calculation],MATCH(CONCATENATE(Country,Commodity),GHG_Crops_Summary[CONCAT],0))))","v":{"$error":"#N/A"}}]
[null,{"$f":"COUNTIF(NoLR[Food Loss Rate not available], Commodity)>0","v":false},"Flour",null,null,"Emission Factor used",null,{"$f":"IF(H62>0,H62,\nIF(H63>0, H63, H64))","v":{"$error":"#N/A"}},{"$f":"IF(I62>0,I62,\nIF(I63>0, I63, I64))","v":{"$error":"#N/A"}},{"$f":"IF(J62>0,J62,\nIF(J63>0, J63, J64))","v":{"$error":"#N/A"}}]
[null,null,"Eggs",null,null,"User Defined Emission Factor?",null,{"$f":"userEF","v":0},{"$f":"IF(userCH4percentage>0,userEF*userCH4percentage,userEF*INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Country,Emissions_TARGET_Countries_TOTAL[Country],0)))","v":{"$error":"#N/A"}},{"$f":"IF(userN2Opercentage>0,userEF*userN2Opercentage,userEF*INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Country,Emissions_TARGET_Countries_TOTAL[Country],0)))","v":{"$error":"#N/A"}}]
[null,null,"Cotton",null,null,"\"GHG updated\" worksheet Emission Factor?",null,{"$f":"IF(INDEX(GHG_Update_Crop[EF (tCO2e/t)],MATCH(CONCATENATE(Country,Commodity),GHG_Update_Crop[CONCAT],0))>0,\nINDEX(GHG_Update_Crop[EF (tCO2e/t)],MATCH(CONCATENATE(Country,Commodity),GHG_Update_Crop[CONCAT],0)), 0)","v":{"$error":"#N/A"}},{"$f":"IF(INDEX(GHG_Update_Crop[EF (tCO2e/t) (from CH4) (AR5)],MATCH(CONCATENATE(Country,Commodity),GHG_Update_Crop[CONCAT],0))>0,\nINDEX(GHG_Update_Crop[EF (tCO2e/t) (from CH4) (AR5)],MATCH(CONCATENATE(Country,Commodity),GHG_Update_Crop[CONCAT],0)), 0)","v":{"$error":"#N/A"}},{"$f":"IF(INDEX(GHG_Update_Crop[EF (tCO2e/t) (from N2O) (AR5)],MATCH(CONCATENATE(Country,Commodity),GHG_Update_Crop[CONCAT],0))>0,\nINDEX(GHG_Update_Crop[EF (tCO2e/t) (from N2O) (AR5)],MATCH(CONCATENATE(Country,Commodity),GHG_Update_Crop[CONCAT],0)), 0)","v":{"$error":"#N/A"}}]
[null,null,null,null,null,"Original Database Emission Factor ",null,{"$f":"INDEX(GHG_Crops_Summary[EF total CO2e (tCO2e/t)],MATCH(CONCATENATE(Country,Commodity),GHG_Crops_Summary[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(GHG_Crops_Summary[EF total CO2e from CH4 (tCO2e/t)],MATCH(CONCATENATE(Country,Commodity),GHG_Crops_Summary[CONCAT],0))","v":{"$error":"#N/A"}},{"$f":"INDEX(GHG_Crops_Summary[EF total CO2e from N2O (tCO2e/t)],MATCH(CONCATENATE(Country,Commodity),GHG_Crops_Summary[CONCAT],0))","v":{"$error":"#N/A"}}]
[]
[null,null,"Checks"]
[null,null,{"$f":"IF(CommodityGroup=\"Animal Protein\",CONCATENATE(Commodity, \" \", FarmingType),\"\")","v":""},null,null,"Animal Protein"]
[null,null,null,null,null,null,"Type of tool calculation for Emission Factor",{"$f":"IF(IFERROR(H62,0)>0, \"User defined Emission Factor\",\nIF(IFERROR(H63,0)>0, \"Updated database Emission Factor\",\nINDEX(AnimalEF[Type of calculation],MATCH(CONCATENATE(Country,Commodity,LEFT(FarmingType,FIND(\" \",FarmingType)-1)),AnimalEF[CONCAT],0))))","v":{"$error":"#VALUE!"}}]
[null,null,null,null,null,"Emission Factor used",null,{"$f":"IF(IFERROR(H70,0)>0,H70,\nIF(IFERROR(H71,0)>0, H71, H72))","v":{"$error":"#VALUE!"}},{"$f":"IF(IFERROR(I70,0)>0,I70,\nIF(IFERROR(I71,0)>0, I71, I72))","v":{"$error":"#VALUE!"}},{"$f":"IF(IFERROR(J70,0)>0,J70,\nIF(IFERROR(J71,0)>0, J71, J72))","v":{"$error":"#VALUE!"}}]
[null,null,null,null,null,"User Defined Emission Factor?",null,{"$f":"userEF","v":0},{"$f":"IF(userCH4percentage>0,userEF*userCH4percentage,0)","v":0},{"$f":"IF(userN2Opercentage>0,userEF*userN2Opercentage,0)","v":0}]
[null,null,null,null,null,"\"GHG updated\" worksheet Emission Factor?",null,{"$f":"IF(\nINDEX(GHG_Update_Livestock[EF (tonneCO2e/tonne)],\nMATCH(CONCATENATE(Country,Commodity,LEFT(FarmingType,FIND(\" \",FarmingType)-1)),GHG_Update_Livestock[],0))\n>0,\nINDEX(GHG_Update_Livestock[EF (tonneCO2e/tonne)],\nMATCH(CONCATENATE(Country,Commodity,LEFT(FarmingType,FIND(\" \",FarmingType)-1)),GHG_Update_Livestock[CONCAT],0)),0)","v":{"$error":"#VALUE!"}},null,null,"No adjustment for manual livestock CH4 or N2O currently available"]
[null,null,null,null,null,"Original Database Emission Factor ",null,{"$f":"INDEX(AnimalEF[EF (tonneCO2e/tonne)],MATCH(CONCATENATE(Country,Commodity,LEFT(FarmingType,FIND(\" \",FarmingType)-1)),AnimalEF[CONCAT],0))","v":{"$error":"#VALUE!"}},{"$f":"INDEX(AnimalEF[CH4 EF (tonneCO2e/tonne)],MATCH(CONCATENATE(Country,Commodity,LEFT(FarmingType,FIND(\" \",FarmingType)-1)),AnimalEF[CONCAT],0))","v":{"$error":"#VALUE!"}},{"$f":"INDEX(AnimalEF[N2O EF (tonneCO2e/tonne)],MATCH(CONCATENATE(Country,Commodity,LEFT(FarmingType,FIND(\" \",FarmingType)-1)),AnimalEF[CONCAT],0))","v":{"$error":"#VALUE!"}}]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[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":"Food Loss ->>","index":6,"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":"Taxonomy","index":7,"n_rows":433,"n_cols":20,"rows_kept":433,"cut":false,"hidden":true,"merged":[[424,10,424,11],[414,9,414,10],[4,18,4,19],[4,1,4,2],[4,4,4,6],[4,8,4,12],[4,14,4,16]]}
[]
[null,"Taxonomy"]
[null,"This section contains the tables required to reconcile the different terminologies."]
[]
[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). 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,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 (%)",null,"IFC Region","UN region","FAO region",null,"fsc_location1","IFC Supply Chain Stage"]
[null,"Almonds, in shell","Almonds",null,"Almonds","Nuts/Seeds","Oilseeds and pulses",null,"Europe (incl. Russia)","Cereals","Total Supply Chain Estimate","",7.5999999999999998E-2,null,"Oceania","Australia and New Zealand","North America and Oceania",null,"Distribution","Retail"]
[null,"Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",null,null,"Apples","Fruits","Fruits and vegetables",null,"Industrialized Asia","Cereals","Total Supply Chain Estimate","",7.7999999999999986E-2,null,"Europe and Central Asia","Central Asia","North Africa, West and Central Asia",null,"Export"]
[null,"Apple juice",null,null,"Avocados","Fruits","Fruits and vegetables",null,"Latin America","Cereals","Total Supply Chain Estimate","",5.6000000000000008E-2,null,"East Asia and Pacific","Eastern Asia","Industrialized Asia",null,"Farm","Production"]
[null,"Apples","Apples",null,"Bananas","Fruits","Fruits and vegetables",null,"North Africa, West and Central Asia","Cereals","Total Supply Chain Estimate","",6.7999999999999991E-2,null,"Europe and Central Asia","Eastern Europe","Europe (incl. Russia)",null,"Food Services"]
[null,"Apricots",null,null,"Barley","Pulses & Grains","Cereals",null,"North America and Oceania","Cereals","Total Supply Chain Estimate","",5.6000000000000008E-2,null,"Latin America and Caribbean","Latin America and the Caribbean","Latin America",null,"Grading"]
[null,"Areca nuts",null,null,"Beans","Pulses & Grains","Oilseeds and pulses",null,"South and Southeast Asia","Cereals","Total Supply Chain Estimate","",4.2999999999999997E-2,null,"East Asia and Pacific","Melanesia","North America and Oceania",null,"Harvest"]
[null,"Artichokes",null,null,"Buckwheat","Pulses & Grains","Cereals",null,"Sub-Saharan Africa","Cereals","Total Supply Chain Estimate","",4.1000000000000002E-2,null,"Middle East and North Africa","Northern Africa","North Africa, West and Central Asia",null,"Households"]
[null,"Asparagus",null,null,"Carrots","Tubers/Root Crops","Roots and tubers",null,"Europe (incl. Russia)","Fish and seafood","Total Supply Chain Estimate","",7.1800000000000003E-2,null,"North America","Northern America","North America and Oceania",null,"Market","Retail"]
[null,"Avocados","Avocadoes",null,"Cashew nuts","Nuts/Seeds","Oilseeds and pulses",null,"Industrialized Asia","Fish and seafood","Total Supply Chain Estimate","",8.3999999999999991E-2,null,"Western Europe","Northern Europe","Europe (incl. Russia)",null,"Packing"]
[null,"Bambara beans, dry",null,null,"Cassava","Tubers/Root Crops","Roots and tubers",null,"Latin America","Fish and seafood","Total Supply Chain Estimate","",6.7400000000000002E-2,null,"East Asia and Pacific","South-eastern Asia","South and Southeast Asia",null,"Post-harvest"]
[null,"Bananas","Bananas",null,"Chickpeas","Pulses & Grains","Oilseeds and pulses",null,"North Africa, West and Central Asia","Fish and seafood","Total Supply Chain Estimate","",6.9199999999999998E-2,null,"South Asia","Southern Asia","South and Southeast Asia",null,"Pre-harvest"]
[null,"Barley","Barley",null,"Cocoa","Nuts/Seeds","Oilseeds and pulses",null,"North America and Oceania","Fish and seafood","Total Supply Chain Estimate","",0.121,null,"Western Europe","Southern Europe","Europe (incl. Russia)",null,"Processing","Processing"]
[null,"Beans, dry","Beans",null,"Coffee","Nuts/Seeds","Oilseeds and pulses",null,"South and Southeast Asia","Fish and seafood","Total Supply Chain Estimate","",8.0399999999999999E-2,null,"Africa","Sub-Saharan Africa","Sub-Saharan Africa",null,"Retail","Retail"]
[null,"Blueberries",null,null,"Cotton","Cotton",null,null,"Sub-Saharan Africa","Fish and seafood","Total Supply Chain Estimate","",7.5399999999999995E-2,null,"Europe and Central Asia","Western Asia","North Africa, West and Central Asia",null,"Stacking"]
[null,"Bran of Maize",null,null,"Eggs","Animal Protein",null,null,"Europe (incl. Russia)","Fruits and vegetables","Total Supply Chain Estimate","",0.11200000000000002,null,"Western Europe","Western Europe","Europe (incl. Russia)",null,"Storage","Storage"]
[null,"Brazil nuts, in shell",null,null,"Flour","Flour","Cereals",null,"Industrialized Asia","Fruits and vegetables","Total Supply Chain Estimate","",8.6000000000000007E-2,null,null,null,null,null,"Trader"]
[null,"Broad beans and horse beans, dry",null,null,"Garlic (green)","Vegetables","Fruits and vegetables",null,"Latin America","Fruits and vegetables","Total Supply Chain Estimate","",0.14399999999999999,null,null,null,null,null,"Transport","Transport"]
[null,"Broad beans and horse beans, green",null,null,"Ginger","Tubers/Root Crops","Roots and tubers",null,"North Africa, West and Central Asia","Fruits and vegetables","Total Supply Chain Estimate","",0.14799999999999999,null,null,null,null,null,"Whole supply chain"]
[null,"Buckwheat","Buckwheat",null,"Grapes","Fruits","Fruits and vegetables",null,"North America and Oceania","Fruits and vegetables","Total Supply Chain Estimate","",0.13200000000000001,null,null,null,null,null,"Wholesale"]
[null,"Butter of Cow Milk",null,null,"Lemons","Fruits","Fruits and vegetables",null,"South and Southeast Asia","Fruits and vegetables","Total Supply Chain Estimate","",0.13200000000000001]
[null,"Cabbages",null,null,"Lentils","Pulses & Grains","Oilseeds and pulses",null,"Sub-Saharan Africa","Fruits and vegetables","Total Supply Chain Estimate","",0.13200000000000001]
[null,"Camels",null,null,"Lettuce","Vegetables","Fruits and vegetables",null,"Europe (incl. Russia)","Meat","Total Supply Chain Estimate","",4.7599999999999996E-2]
[null,"Canary seed",null,null,"Maize","Pulses & Grains","Cereals",null,"Industrialized Asia","Meat","Total Supply Chain Estimate","",4.4999999999999998E-2]
[null,"Cane sugar, non-centrifugal",null,null,"Mangoes","Fruits","Fruits and vegetables",null,"Latin America","Meat","Total Supply Chain Estimate","",4.48E-2]
[null,"Canned mushrooms",null,null,"Meat (cattle)","Animal Protein","Meat",null,"North Africa, West and Central Asia","Meat","Total Supply Chain Estimate","",4.9599999999999998E-2]
[null,"Cantaloupes and other melons",null,null,"Meat (chicken)","Animal Protein","Meat",null,"North America and Oceania","Meat","Total Supply Chain Estimate","",4.9000000000000002E-2]
[null,"Carrots and turnips","Carrots",null,"Meat (pig)","Animal Protein","Meat",null,"South and Southeast Asia","Meat","Total Supply Chain Estimate","",4.2800000000000005E-2]
[null,"Cashew nuts, in shell","Cashew nuts",null,"Milk (cattle)","Animal Protein","Milk",null,"Sub-Saharan Africa","Meat","Total Supply Chain Estimate","",5.9400000000000008E-2]
[null,"Cassava, dry",null,null,"Millet","Pulses & Grains","Cereals",null,"Europe (incl. Russia)","Milk","Total Supply Chain Estimate","",2.5399999999999999E-2]
[null,"Cassava, fresh","Cassava",null,"Mushrooms","Mycoprotein","Fruits and vegetables",null,"Industrialized Asia","Milk","Total Supply Chain Estimate","",2.24E-2]
[null,"Cattle",null,null,"Oats","Pulses & Grains","Cereals",null,"Latin America","Milk","Total Supply Chain Estimate","",4.7E-2]
[null,"Cattle fat, unrendered",null,null,"Onions, dry","Tubers/Root Crops","Roots and tubers",null,"North Africa, West and Central Asia","Milk","Total Supply Chain Estimate","",4.2999999999999997E-2]
[null,"Cauliflowers and broccoli",null,null,"Oranges","Fruits","Fruits and vegetables",null,"North America and Oceania","Milk","Total Supply Chain Estimate","",4.1399999999999999E-2]
[null,"Cheese from whole cow milk",null,null,"Peanuts","Nuts/Seeds","Oilseeds and pulses",null,"South and Southeast Asia","Milk","Total Supply Chain Estimate","",4.4999999999999998E-2]
[null,"Cherries",null,null,"Peas (dry)","Pulses & Grains","Oilseeds and pulses",null,"Sub-Saharan Africa","Milk","Total Supply Chain Estimate","",5.4400000000000004E-2]
[null,"Chestnuts, in shell",null,null,"Peppers","Vegetables","Fruits and vegetables",null,"Europe (incl. Russia)","Oilseeds and pulses","Total Supply Chain Estimate","",4.2000000000000003E-2]
[null,"Chick peas, dry","Chickpeas",null,"Pineapples","Fruits","Fruits and vegetables",null,"Industrialized Asia","Oilseeds and pulses","Total Supply Chain Estimate","",3.7999999999999999E-2]
[null,"Chillies and peppers, dry (<i>Capsicum</i> spp., <i>Pimenta</i> spp.), raw",null,null,"Potatoes","Tubers/Root Crops","Roots and tubers",null,"Latin America","Oilseeds and pulses","Total Supply Chain Estimate","",4.1999999999999996E-2]
[null,"Chillies and peppers, green (<i>Capsicum</i> spp. and <i>Pimenta</i> spp.)","Peppers",null,"Quinoa","Nuts/Seeds","Oilseeds and pulses",null,"North Africa, West and Central Asia","Oilseeds and pulses","Total Supply Chain Estimate","",6.5999999999999989E-2]
[null,"Chillies and peppers, green (Capsicum spp. and Pimenta spp.)","Peppers",null,"Rapeseeds","Nuts/Seeds","Oilseeds and pulses",null,"North America and Oceania","Oilseeds and pulses","Total Supply Chain Estimate","",4.3999999999999997E-2]
[null,"Cocoa beans","Cocoa",null,"Rice","Pulses & Grains","Cereals",null,"South and Southeast Asia","Oilseeds and pulses","Total Supply Chain Estimate","",0.06]
[null,"Coconuts, in shell",null,null,"Rye","Pulses & Grains","Cereals",null,"Sub-Saharan Africa","Oilseeds and pulses","Total Supply Chain Estimate","",6.2000000000000013E-2]
[null,"Coffee, green","Coffee",null,"Sesame seed","Nuts/Seeds","Oilseeds and pulses",null,"Europe (incl. Russia)","Roots and tubers","Total Supply Chain Estimate","",0.13600000000000001]
[null,"Copra",null,null,"Sorghum","Pulses & Grains","Cereals",null,"Industrialized Asia","Roots and tubers","Total Supply Chain Estimate","",0.122]
[null,"Cow peas, dry",null,null,"Soybeans","Pulses & Grains","Oilseeds and pulses",null,"Latin America","Roots and tubers","Total Supply Chain Estimate","",9.4E-2]
[null,"Cranberries",null,null,"Sugar cane","Tubers/Root Crops","Roots and tubers",null,"North Africa, West and Central Asia","Roots and tubers","Total Supply Chain Estimate","",7.5999999999999998E-2]
[null,"Cranberries and other fruits of the genus Vaccinium",null,null,"Sunflower seeds","Nuts/Seeds","Oilseeds and pulses",null,"North America and Oceania","Roots and tubers","Total Supply Chain Estimate","",0.16400000000000001]
[null,"Cucumbers and gherkins",null,null,"Sweet potatoes","Tubers/Root Crops","Roots and tubers",null,"South and Southeast Asia","Roots and tubers","Total Supply Chain Estimate","",9.8000000000000004E-2]
[null,"Currants",null,null,"Tomatoes","Fruits","Fruits and vegetables",null,"Sub-Saharan Africa","Roots and tubers","Total Supply Chain Estimate","",0.10800000000000001]
[null,"Dairy products n.e.c.",null,null,"Wheat","Pulses & Grains","Cereals",null,"Europe (incl. Russia)","Cereals","Processing and packaging","Processing",0.05]
[null,"Dates",null,null,null,null,null,null,"Industrialized Asia","Cereals","Processing and packaging","Processing",0.05]
[null,"Edible offal of cattle, fresh, chilled or frozen",null,null,null,null,null,null,"Latin America","Cereals","Processing and packaging","Processing",0.04]
[null,"Edible offal of pigs, fresh, chilled or frozen","Meat (Pigs)",null,null,null,null,null,"North Africa, West and Central Asia","Cereals","Processing and packaging","Processing",0.04]
[null,"Edible roots and tubers with high starch or inulin content, n.e., fresh",null,null,null,null,null,null,"North America and Oceania","Cereals","Processing and packaging","Processing",0.05]
[null,"Edible roots and tubers with high starch or inulin content, n.e.c., dry",null,null,null,null,null,null,"South and Southeast Asia","Cereals","Processing and packaging","Processing",3.5000000000000003E-2]
[null,"Edible roots and tubers with high starch or inulin content, n.e.c., fresh",null,null,null,null,null,null,"Sub-Saharan Africa","Cereals","Processing and packaging","Processing",3.5000000000000003E-2]
[null,"Eggplants (aubergines)",null,null,null,null,null,null,"Europe (incl. Russia)","Fish and seafood","Processing and packaging","Processing",0.06]
[null,"Figs",null,null,null,null,null,null,"Industrialized Asia","Fish and seafood","Processing and packaging","Processing",0.06]
[null,"Flour of buckwheat",null,null,null,null,null,null,"Latin America","Fish and seafood","Processing and packaging","Processing",0.09]
[null,"Flour of cassava",null,null,null,null,null,null,"North Africa, West and Central Asia","Fish and seafood","Processing and packaging","Processing",0.09]
[null,"Flour of Maize",null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Processing and packaging","Processing",0.06]
[null,"Flour of triticale",null,null,null,null,null,null,"South and Southeast Asia","Fish and seafood","Processing and packaging","Processing",0.09]
[null,"Fonio",null,null,null,null,null,null,"Sub-Saharan Africa","Fish and seafood","Processing and packaging","Processing",0.09]
[null,"Goats",null,null,null,null,null,null,"Europe (incl. Russia)","Fruits and vegetables","Processing and packaging","Processing",0.02]
[null,"Grape juice",null,null,null,null,null,null,"Industrialized Asia","Fruits and vegetables","Processing and packaging","Processing",0.02]
[null,"Grapefruit juice",null,null,null,null,null,null,"Latin America","Fruits and vegetables","Processing and packaging","Processing",0.2]
[null,"Grapes","Grapes",null,null,null,null,null,"North Africa, West and Central Asia","Fruits and vegetables","Processing and packaging","Processing",0.2]
[null,"Green corn (maize)",null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Processing and packaging","Processing",0.02]
[null,"Green garlic","Garlic (green)",null,null,null,null,null,"South and Southeast Asia","Fruits and vegetables","Processing and packaging","Processing",0.25]
[null,"Groundnuts, excluding shelled",null,null,null,null,null,null,"Sub-Saharan Africa","Fruits and vegetables","Processing and packaging","Processing",0.25]
[null,"Groundnuts, shelled","Peanuts",null,null,null,null,null,"Europe (incl. Russia)","Meat","Processing and packaging","Processing",0.05]
[null,"Hazelnuts, in shell",null,null,null,null,null,null,"Industrialized Asia","Meat","Processing and packaging","Processing",0.05]
[null,"Hen eggs in shell, fresh","Eggs",null,null,null,null,null,"Latin America","Meat","Processing and packaging","Processing",0.05]
[null,"Husked rice","Rice",null,null,null,null,null,"North Africa, West and Central Asia","Meat","Processing and packaging","Processing",0.05]
[null,"Juice of citrus fruit n.e.c.",null,null,null,null,null,null,"North America and Oceania","Meat","Processing and packaging","Processing",0.05]
[null,"Juice of lemon",null,null,null,null,null,null,"South and Southeast Asia","Meat","Processing and packaging","Processing",0.05]
[null,"Kiwi fruit",null,null,null,null,null,null,"Sub-Saharan Africa","Meat","Processing and packaging","Processing",0.05]
[null,"Leeks and other alliaceous vegetables",null,null,null,null,null,null,"Europe (incl. Russia)","Milk","Processing and packaging","Processing",1.2E-2]
[null,"Lemons and limes","Lemons",null,null,null,null,null,"Industrialized Asia","Milk","Processing and packaging","Processing",1.2E-2]
[null,"Lentils, dry","Lentils",null,null,null,null,null,"Latin America","Milk","Processing and packaging","Processing",0.02]
[null,"Lettuce and chicory","Lettuce",null,null,null,null,null,"North Africa, West and Central Asia","Milk","Processing and packaging","Processing",0.02]
[null,"Linseed",null,null,null,null,null,null,"North America and Oceania","Milk","Processing and packaging","Processing",1.2E-2]
[null,"Lupins",null,null,null,null,null,null,"South and Southeast Asia","Milk","Processing and packaging","Processing",0.02]
[null,"Maize (corn)","Maize",null,null,null,null,null,"Sub-Saharan Africa","Milk","Processing and packaging","Processing",1E-3]
[null,"Mangoes, guavas and mangosteens","Mangoes",null,null,null,null,null,"Europe (incl. Russia)","Oilseeds and pulses","Processing and packaging","Processing",0.05]
[null,"Mangoes, guavas, mangosteens","Mangoes",null,null,null,null,null,"Industrialized Asia","Oilseeds and pulses","Processing and packaging","Processing",0.05]
[null,"Meat of cattle boneless, fresh or chilled","Meat (Cattle)",null,null,null,null,null,"Latin America","Oilseeds and pulses","Processing and packaging","Processing",0.08]
[null,"Meat of cattle with the bone, fresh or chilled","Meat (Cattle)",null,null,null,null,null,"North Africa, West and Central Asia","Oilseeds and pulses","Processing and packaging","Processing",0.08]
[null,"Meat of cattle, fresh or chilled","Meat (Cattle)",null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Processing and packaging","Processing",0.05]
[null,"Meat of chickens, fresh or chilled","Meat (Chicken)",null,null,null,null,null,"South and Southeast Asia","Oilseeds and pulses","Processing and packaging","Processing",0.08]
[null,"Meat of goat, fresh or chilled",null,null,null,null,null,null,"Sub-Saharan Africa","Oilseeds and pulses","Processing and packaging","Processing",0.08]
[null,"Meat of goat, fresh or chilled (indigenous)",null,null,null,null,null,null,"Europe (incl. Russia)","Roots and tubers","Processing and packaging","Processing",0.15]
[null,"Meat of other domestic camelids (fresh)",null,null,null,null,null,null,"Industrialized Asia","Roots and tubers","Processing and packaging","Processing",0.15]
[null,"Meat of pig boneless (pork), fresh or chilled","Meat (Pigs)",null,null,null,null,null,"Latin America","Roots and tubers","Processing and packaging","Processing",0.12]
[null,"Meat of pig with the bone, fresh or chilled","Meat (Pigs)",null,null,null,null,null,"North Africa, West and Central Asia","Roots and tubers","Processing and packaging","Processing",0.12]
[null,"Meat of pig, fresh or chilled","Meat (Pigs)",null,null,null,null,null,"North America and Oceania","Roots and tubers","Processing and packaging","Processing",0.15]
[null,"Meat of sheep, fresh or chilled",null,null,null,null,null,null,"South and Southeast Asia","Roots and tubers","Processing and packaging","Processing",0.1]
[null,"Millet","Millet",null,null,null,null,null,"Sub-Saharan Africa","Roots and tubers","Processing and packaging","Processing",0.15]
[null,"Mixed grain",null,null,null,null,null,null,"Europe (incl. Russia)","Cereals","Agricultural production","Production",0.02]
[null,"Mushrooms and truffles","Mushrooms",null,null,null,null,null,"Industrialized Asia","Cereals","Agricultural production","Production",0.02]
[null,"Mustard seed",null,null,null,null,null,null,"Latin America","Cereals","Agricultural production","Production",0.06]
[null,"Natural honey",null,null,null,null,null,null,"North Africa, West and Central Asia","Cereals","Agricultural production","Production",0.06]
[null,"Oats","Oats",null,null,null,null,null,"North America and Oceania","Cereals","Agricultural production","Production",0.02]
[null,"Oil palm fruit",null,null,null,null,null,null,"South and Southeast Asia","Cereals","Agricultural production","Production",0.06]
[null,"Okra",null,null,null,null,null,null,"Sub-Saharan Africa","Cereals","Agricultural production","Production",0.06]
[null,"Olives",null,null,null,null,null,null,"Europe (incl. Russia)","Fish and seafood","Agricultural production","Production",9.4E-2]
[null,"olives preserved",null,null,null,null,null,null,"Industrialized Asia","Fish and seafood","Agricultural production","Production",0.15]
[null,"Onions and shallots, dry (excluding dehydrated)","Onions (dry)",null,null,null,null,null,"Latin America","Fish and seafood","Agricultural production","Production",5.7000000000000002E-2]
[null,"Onions and shallots, green",null,null,null,null,null,null,"North Africa, West and Central Asia","Fish and seafood","Agricultural production","Production",6.6000000000000003E-2]
[null,"Orange juice",null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Agricultural production","Production",0.12]
[null,"Oranges","Oranges",null,null,null,null,null,"South and Southeast Asia","Fish and seafood","Agricultural production","Production",8.2000000000000003E-2]
[null,"Other beans, green",null,null,null,null,null,null,"Sub-Saharan Africa","Fish and seafood","Agricultural production","Production",5.7000000000000002E-2]
[null,"Other berries and fruits of the genus Vaccinium n.e.",null,null,null,null,null,null,"Europe (incl. Russia)","Fruits and vegetables","Agricultural production","Production",0.2]
[null,"Other cereals n.e.",null,null,null,null,null,null,"Industrialized Asia","Fruits and vegetables","Agricultural production","Production",0.1]
[null,"Other citrus fruit, n.e.",null,null,null,null,null,null,"Latin America","Fruits and vegetables","Agricultural production","Production",0.2]
[null,"Other citrus fruit, n.e.c.",null,null,null,null,null,null,"North Africa, West and Central Asia","Fruits and vegetables","Agricultural production","Production",0.17]
[null,"Other fruits, n.e.",null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Agricultural production","Production",0.2]
[null,"Other fruits, n.e.c.",null,null,null,null,null,null,"South and Southeast Asia","Fruits and vegetables","Agricultural production","Production",0.15]
[null,"Other legumes, for forage",null,null,null,null,null,null,"Sub-Saharan Africa","Fruits and vegetables","Agricultural production","Production",0.1]
[null,"Other nuts (excluding wild edible nuts and groundnuts), in shell, n.e.",null,null,null,null,null,null,"Europe (incl. Russia)","Meat","Agricultural production","Production",3.1E-2]
[null,"Other pulses n.e.c.",null,null,null,null,null,null,"Industrialized Asia","Meat","Agricultural production","Production",2.9000000000000001E-2]
[null,"Other stimulant, spice and aromatic crops, n.e.c.",null,null,null,null,null,null,"Latin America","Meat","Agricultural production","Production",5.2999999999999999E-2]
[null,"Other stone fruits",null,null,null,null,null,null,"North Africa, West and Central Asia","Meat","Agricultural production","Production",6.6000000000000003E-2]
[null,"Other tropical and subtropical fruits, n.e.",null,null,null,null,null,null,"North America and Oceania","Meat","Agricultural production","Production",3.5000000000000003E-2]
[null,"Other tropical and subtropical fruits, n.e.c.",null,null,null,null,null,null,"South and Southeast Asia","Meat","Agricultural production","Production",5.0999999999999997E-2]
[null,"Other vegetables, fresh n.e.",null,null,null,null,null,null,"Sub-Saharan Africa","Meat","Agricultural production","Production",0.15]
[null,"Other vegetables, fresh n.e.c.",null,null,null,null,null,null,"Europe (incl. Russia)","Milk","Agricultural production","Production",3.5000000000000003E-2]
[null,"Papayas",null,null,null,null,null,null,"Industrialized Asia","Milk","Agricultural production","Production",3.5000000000000003E-2]
[null,"Peaches and nectarines",null,null,null,null,null,null,"Latin America","Milk","Agricultural production","Production",3.5000000000000003E-2]
[null,"Pears",null,null,null,null,null,null,"North Africa, West and Central Asia","Milk","Agricultural production","Production",3.5000000000000003E-2]
[null,"Peas, dry","Peas (dry)",null,null,null,null,null,"North America and Oceania","Milk","Agricultural production","Production",3.5000000000000003E-2]
[null,"Peas, green",null,null,null,null,null,null,"South and Southeast Asia","Milk","Agricultural production","Production",3.5000000000000003E-2]
[null,"Pepper (<i>Piper</i> spp.), raw","Peppers",null,null,null,null,null,"Sub-Saharan Africa","Milk","Agricultural production","Production",0.06]
[null,"Persimmons",null,null,null,null,null,null,"Europe (incl. Russia)","Oilseeds and pulses","Agricultural production","Production",0.1]
[null,"Pig meat, cuts, salted, dried or smoked (bacon and ham)",null,null,null,null,null,null,"Industrialized Asia","Oilseeds and pulses","Agricultural production","Production",0.06]
[null,"Pig, Butcher Fat",null,null,null,null,null,null,"Latin America","Oilseeds and pulses","Agricultural production","Production",0.06]
[null,"Pigeon peas, dry",null,null,null,null,null,null,"North Africa, West and Central Asia","Oilseeds and pulses","Agricultural production","Production",0.15]
[null,"Pineapple juice",null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Agricultural production","Production",0.12]
[null,"Pineapples","Pineapples",null,null,null,null,null,"South and Southeast Asia","Oilseeds and pulses","Agricultural production","Production",7.0000000000000007E-2]
[null,"Pistachios, in shell",null,null,null,null,null,null,"Sub-Saharan Africa","Oilseeds and pulses","Agricultural production","Production",0.12]
[null,"Plantains and cooking bananas",null,null,null,null,null,null,"Europe (incl. Russia)","Roots and tubers","Agricultural production","Production",0.2]
[null,"Plantains and others",null,null,null,null,null,null,"Industrialized Asia","Roots and tubers","Agricultural production","Production",0.2]
[null,"Plums and sloes",null,null,null,null,null,null,"Latin America","Roots and tubers","Agricultural production","Production",0.14000000000000001]
[null,"Plums, dried",null,null,null,null,null,null,"North Africa, West and Central Asia","Roots and tubers","Agricultural production","Production",0.06]
[null,"Pomelos and grapefruits",null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Agricultural production","Production",0.2]
[null,"Poppy seed",null,null,null,null,null,null,"South and Southeast Asia","Roots and tubers","Agricultural production","Production",0.06]
[null,"Potatoes","Potatoes",null,null,null,null,null,"Sub-Saharan Africa","Roots and tubers","Agricultural production","Production",0.14000000000000001]
[null,"Pulses n.e.",null,null,null,null,null,null,"Europe (incl. Russia)","Cereals","Distribution","Retail",0.02]
[null,"Pumpkins, squash and gourds",null,null,null,null,null,null,"Industrialized Asia","Cereals","Distribution","Retail",0.02]
[null,"Quinces",null,null,null,null,null,null,"Latin America","Cereals","Distribution","Retail",0.04]
[null,"Quinoa","Quinoa",null,null,null,null,null,"North Africa, West and Central Asia","Cereals","Distribution","Retail",0.04]
[null,"Raisins",null,null,null,null,null,null,"North America and Oceania","Cereals","Distribution","Retail",0.02]
[null,"Rape or colza seed",null,null,null,null,null,null,"South and Southeast Asia","Cereals","Distribution","Retail",0.02]
[null,"Rapeseed or colza seed","Rapeseeds",null,null,null,null,null,"Sub-Saharan Africa","Cereals","Distribution","Retail",0.02]
[null,"Raspberries",null,null,null,null,null,null,"Europe (incl. Russia)","Fish and seafood","Distribution","Retail",0.09]
[null,"Raspeberries",null,null,null,null,null,null,"Industrialized Asia","Fish and seafood","Distribution","Retail",0.11]
[null,"Raw cane or beet sugar (centrifugal only)",null,null,null,null,null,null,"Latin America","Fish and seafood","Distribution","Retail",0.1]
[null,"Raw milk of cattle","Milk (cattle)",null,null,null,null,null,"North Africa, West and Central Asia","Fish and seafood","Distribution","Retail",0.1]
[null,"Raw milk of goats",null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Distribution","Retail",0.09]
[null,"Raw milk of sheep",null,null,null,null,null,null,"South and Southeast Asia","Fish and seafood","Distribution","Retail",0.15]
[null,"Refined sugar",null,null,null,null,null,null,"Sub-Saharan Africa","Fish and seafood","Distribution","Retail",0.15]
[null,"Rice","Rice",null,null,null,null,null,"Europe (incl. Russia)","Fruits and vegetables","Distribution","Retail",0.1]
[null,"Rice, Broken","Rice",null,null,null,null,null,"Industrialized Asia","Fruits and vegetables","Distribution","Retail",0.08]
[null,"Rice, Milled","Rice",null,null,null,null,null,"Latin America","Fruits and vegetables","Distribution","Retail",0.12]
[null,"Rice, Milled (Husked)","Rice",null,null,null,null,null,"North Africa, West and Central Asia","Fruits and vegetables","Distribution","Retail",0.15]
[null,"Rye","Rye",null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Distribution","Retail",0.12]
[null,"Safflower seed",null,null,null,null,null,null,"South and Southeast Asia","Fruits and vegetables","Distribution","Retail",0.1]
[null,"Seed cotton, unginned",null,null,null,null,null,null,"Sub-Saharan Africa","Fruits and vegetables","Distribution","Retail",0.17]
[null,"Sesame seed","Sesame seed",null,null,null,null,null,"Europe (incl. Russia)","Meat","Distribution","Retail",0.04]
[null,"Sheep",null,null,null,null,null,null,"Industrialized Asia","Meat","Distribution","Retail",0.06]
[null,"Snails, fresh, chilled, frozen, dried, salted or in brine, except sea snails",null,null,null,null,null,null,"Latin America","Meat","Distribution","Retail",0.05]
[null,"Sorghum","Sorghum",null,null,null,null,null,"North Africa, West and Central Asia","Meat","Distribution","Retail",0.05]
[null,"Sour cherries",null,null,null,null,null,null,"North America and Oceania","Meat","Distribution","Retail",0.04]
[null,"Soya beans","Soybeans",null,null,null,null,null,"South and Southeast Asia","Meat","Distribution","Retail",7.0000000000000007E-2]
[null,"Spinach",null,null,null,null,null,null,"Sub-Saharan Africa","Meat","Distribution","Retail",7.0000000000000007E-2]
[null,"Starch of Potatoes",null,null,null,null,null,null,"Europe (incl. Russia)","Milk","Distribution","Retail",5.0000000000000001E-3]
[null,"Strawberries",null,null,null,null,null,null,"Industrialized Asia","Milk","Distribution","Retail",5.0000000000000001E-3]
[null,"Sugar and syrups n.e.c.",null,null,null,null,null,null,"Latin America","Milk","Distribution","Retail",0.08]
[null,"Sugar beet",null,null,null,null,null,null,"North Africa, West and Central Asia","Milk","Distribution","Retail",0.08]
[null,"Sugar cane","Sugar cane",null,null,null,null,null,"North America and Oceania","Milk","Distribution","Retail",5.0000000000000001E-3]
[null,"Sunflower seed","Sunflower seeds",null,null,null,null,null,"South and Southeast Asia","Milk","Distribution","Retail",0.1]
[null,"Sunflower-seed oil, crude",null,null,null,null,null,null,"Sub-Saharan Africa","Milk","Distribution","Retail",0.1]
[null,"Swedes, for forage",null,null,null,null,null,null,"Europe (incl. Russia)","Oilseeds and pulses","Distribution","Retail",0.01]
[null,"Sweet corn, frozen",null,null,null,null,null,null,"Industrialized Asia","Oilseeds and pulses","Distribution","Retail",0.01]
[null,"Sweet corn, prepared or preserved",null,null,null,null,null,null,"Latin America","Oilseeds and pulses","Distribution","Retail",0.02]
[null,"Sweet potatoes","Sweet Potatoes",null,null,null,null,null,"North Africa, West and Central Asia","Oilseeds and pulses","Distribution","Retail",0.02]
[null,"Tangerines, mandarins, clementines",null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Distribution","Retail",0.01]
[null,"Tapioca of cassava",null,null,null,null,null,null,"South and Southeast Asia","Oilseeds and pulses","Distribution","Retail",0.02]
[null,"Taro",null,null,null,null,null,null,"Sub-Saharan Africa","Oilseeds and pulses","Distribution","Retail",0.02]
[null,"Tomatoes","Tomatoes",null,null,null,null,null,"Europe (incl. Russia)","Roots and tubers","Distribution","Retail",7.0000000000000007E-2]
[null,"Triticale",null,null,null,null,null,null,"Industrialized Asia","Roots and tubers","Distribution","Retail",0.09]
[null,"Uncooked pasta, not stuffed or otherwise prepared",null,null,null,null,null,null,"Latin America","Roots and tubers","Distribution","Retail",0.03]
[null,"Vegetable products, fresh or dry n.e.c.",null,null,null,null,null,null,"North Africa, West and Central Asia","Roots and tubers","Distribution","Retail",0.04]
[null,"Walnuts, in shell",null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Distribution","Retail",7.0000000000000007E-2]
[null,"Watermelons",null,null,null,null,null,null,"South and Southeast Asia","Roots and tubers","Distribution","Retail",0.11]
[null,"Wheat","Wheat",null,null,null,null,null,"Sub-Saharan Africa","Roots and tubers","Distribution","Retail",0.05]
[null,"Wheat and meslin flour","Wheat flour",null,null,null,null,null,"Europe (incl. Russia)","Cereals","Post-harvest handling and storage",null,0.04,null,"IFC","FAO","Storage","Transport"]
[null,"Wine",null,null,null,null,null,null,"Industrialized Asia","Cereals","Post-harvest handling and storage",null,0.1,null,"Animal Protein","Cereals",0.32796780684104626,0.67203219315895368]
[null,"Yams",null,null,null,null,null,null,"Latin America","Cereals","Post-harvest handling and storage",null,0.04,null,"Fruits","Fish and seafood",0.17148458437658326,0.8285154156234168]
[null,"Yautia",null,null,null,null,null,null,"North Africa, West and Central Asia","Cereals","Post-harvest handling and storage",null,0.08,null,"Nuts/Seeds","Fruits and vegetables",0.98390804597701143,1.6091954022988506E-2]
[null,null,null,null,null,null,null,null,"North America and Oceania","Cereals","Post-harvest handling and storage",null,0.02,null,"Pulses & Grains","Meat",0.7099333962158918,0.29006660378410809]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Cereals","Post-harvest handling and storage",null,7.0000000000000007E-2,null,"Tubers/Root Crops","Milk",0.785485662566339,0.21451433743366111]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Cereals","Post-harvest handling and storage",null,0.08,null,"Vegetables ","Oilseeds and pulses",5.9301625526791094E-2,0.94069837447320892]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Fish and seafood","Post-harvest handling and storage",null,5.0000000000000001E-3,null,"Mycoprotein","Roots and tubers",0.65419161676646709,0.34580838323353297]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Fish and seafood","Post-harvest handling and storage",null,0.02]
[null,null,null,null,null,null,null,null,"Latin America","Fish and seafood","Post-harvest handling and storage",null,0.05]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Fish and seafood","Post-harvest handling and storage",null,0.05]
[null,null,null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Post-harvest handling and storage",null,5.0000000000000001E-3,null,null,null,null,null,"Storage","Transport"]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Fish and seafood","Post-harvest handling and storage",null,0.06,null,null,"Cereals",{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(P215,IFC_Commodity_CommodityGroup[FAO commodity group],0))","v":"Pulses & Grains"},null,{"$f":"VLOOKUP(Q215,$O$203:$R$210,3,0)","v":0.7099333962158918},{"$f":"VLOOKUP(Q215,$O$203:$R$210,4,0)","v":0.29006660378410809}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Fish and seafood","Post-harvest handling and storage",null,0.06,null,null,"Fish and seafood",{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(P216,IFC_Commodity_CommodityGroup[FAO commodity group],0))","v":{"$error":"#N/A"}},null,{"$f":"VLOOKUP(Q216,$O$203:$R$210,3,0)","v":{"$error":"#N/A"}},{"$f":"VLOOKUP(Q216,$O$203:$R$210,4,0)","v":{"$error":"#N/A"}}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Fruits and vegetables","Post-harvest handling and storage",null,0.05,null,null,"Fruits and vegetables",{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(P217,IFC_Commodity_CommodityGroup[FAO commodity group],0))","v":"Fruits"},null,0.17148458437658326,0.8285154156234168]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Fruits and vegetables","Post-harvest handling and storage",null,0.08,null,null,"Meat",{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(P218,IFC_Commodity_CommodityGroup[FAO commodity group],0))","v":"Animal Protein"},null,0.32796780684104626,0.67203219315895368]
[null,null,null,null,null,null,null,null,"Latin America","Fruits and vegetables","Post-harvest handling and storage",null,0.1,null,null,"Milk",{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(P219,IFC_Commodity_CommodityGroup[FAO commodity group],0))","v":"Animal Protein"},null,0.32796780684104626,0.67203219315895368]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Fruits and vegetables","Post-harvest handling and storage",null,0.1,null,null,"Oilseeds and pulses",{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(P220,IFC_Commodity_CommodityGroup[FAO commodity group],0))","v":"Nuts/Seeds"},null,0.98390804597701143,1.6091954022988506E-2]
[null,null,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Post-harvest handling and storage",null,0.04,null,null,"Roots and tubers",{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(P221,IFC_Commodity_CommodityGroup[FAO commodity group],0))","v":"Tubers/Root Crops"},null,0.785485662566339,0.21451433743366111]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Fruits and vegetables","Post-harvest handling and storage",null,0.09]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Fruits and vegetables","Post-harvest handling and storage",null,0.09,null,null,null,null,null,"Storage","Transport"]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Meat","Post-harvest handling and storage",null,7.0000000000000001E-3,null,"Europe (incl. Russia)","Cereals","Post-harvest handling and storage",0.04,{"$f":"INDEX(S$215:S$221,MATCH($P224,$P$215:$P$221,0))*$R224","v":2.8397335848635671E-2},{"$f":"INDEX(T$215:T$221,MATCH($P224,$P$215:$P$221,0))*$R224","v":1.1602664151364324E-2}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Meat","Post-harvest handling and storage",null,6.0000000000000001E-3,null,"Industrialized Asia","Cereals","Post-harvest handling and storage",0.1,{"$f":"INDEX(S$215:S$221,MATCH($P225,$P$215:$P$221,0))*$R225","v":7.0993339621589185E-2},2.900666037841081E-2]
[null,null,null,null,null,null,null,null,"Latin America","Meat","Post-harvest handling and storage",null,1.0999999999999999E-2,null,"Latin America","Cereals","Post-harvest handling and storage",0.04,2.8397335848635671E-2,1.1602664151364324E-2]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Meat","Post-harvest handling and storage",null,2E-3,null,"North Africa, West and Central Asia","Cereals","Post-harvest handling and storage",0.08,5.6794671697271343E-2,2.3205328302728648E-2]
[null,null,null,null,null,null,null,null,"North America and Oceania","Meat","Post-harvest handling and storage",null,0.01,null,"North America and Oceania","Cereals","Post-harvest handling and storage",0.02,1.4198667924317836E-2,5.8013320756821621E-3]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Meat","Post-harvest handling and storage",null,3.0000000000000001E-3,null,"South and Southeast Asia","Cereals","Post-harvest handling and storage",7.0000000000000007E-2,4.9695337735112428E-2,2.0304662264887568E-2]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Meat","Post-harvest handling and storage",null,7.0000000000000001E-3,null,"Sub-Saharan Africa","Cereals","Post-harvest handling and storage",0.08,5.6794671697271343E-2,2.3205328302728648E-2]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Milk","Post-harvest handling and storage",null,5.0000000000000001E-3,null,"Europe (incl. Russia)","Fish and seafood","Post-harvest handling and storage",5.0000000000000001E-3,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Milk","Post-harvest handling and storage",null,0.01,null,"Industrialized Asia","Fish and seafood","Post-harvest handling and storage",0.02,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,null,null,null,null,null,null,null,"Latin America","Milk","Post-harvest handling and storage",null,0.06,null,"Latin America","Fish and seafood","Post-harvest handling and storage",0.05,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Milk","Post-harvest handling and storage",null,0.06,null,"North Africa, West and Central Asia","Fish and seafood","Post-harvest handling and storage",0.05,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Milk","Post-harvest handling and storage",null,5.0000000000000001E-3,null,"North America and Oceania","Fish and seafood","Post-harvest handling and storage",5.0000000000000001E-3,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Milk","Post-harvest handling and storage",null,0.06,null,"South and Southeast Asia","Fish and seafood","Post-harvest handling and storage",0.06,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Milk","Post-harvest handling and storage",null,0.11,null,"Sub-Saharan Africa","Fish and seafood","Post-harvest handling and storage",0.06,{"$error":"#N/A"},{"$error":"#N/A"}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Oilseeds and pulses","Post-harvest handling and storage",null,0.01,null,"Europe (incl. Russia)","Fruits and vegetables","Post-harvest handling and storage",0.05,8.574229218829164E-3,4.1425770781170844E-2]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Oilseeds and pulses","Post-harvest handling and storage",null,0.03,null,"Industrialized Asia","Fruits and vegetables","Post-harvest handling and storage",0.08,1.3718766750126661E-2,6.6281233249873339E-2]
[null,null,null,null,null,null,null,null,"Latin America","Oilseeds and pulses","Post-harvest handling and storage",null,0.03,null,"Latin America","Fruits and vegetables","Post-harvest handling and storage",0.1,1.7148458437658328E-2,8.2851541562341688E-2]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Oilseeds and pulses","Post-harvest handling and storage",null,0.06,null,"North Africa, West and Central Asia","Fruits and vegetables","Post-harvest handling and storage",0.1,1.7148458437658328E-2,8.2851541562341688E-2]
[null,null,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Post-harvest handling and storage",null,0,null,"North America and Oceania","Fruits and vegetables","Post-harvest handling and storage",0.04,6.8593833750633304E-3,3.314061662493667E-2]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Oilseeds and pulses","Post-harvest handling and storage",null,0.12,null,"South and Southeast Asia","Fruits and vegetables","Post-harvest handling and storage",0.09,1.5433612593892494E-2,7.4566387406107507E-2]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Oilseeds and pulses","Post-harvest handling and storage",null,0.08,null,"Sub-Saharan Africa","Fruits and vegetables","Post-harvest handling and storage",0.09,1.5433612593892494E-2,7.4566387406107507E-2]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Roots and tubers","Post-harvest handling and storage",null,0.09,null,"Europe (incl. Russia)","Meat","Post-harvest handling and storage",7.0000000000000001E-3,2.2957746478873241E-3,4.7042253521126761E-3]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Roots and tubers","Post-harvest handling and storage",null,7.0000000000000007E-2,null,"Industrialized Asia","Meat","Post-harvest handling and storage",6.0000000000000001E-3,1.9678068410462777E-3,4.0321931589537225E-3]
[null,null,null,null,null,null,null,null,"Latin America","Roots and tubers","Post-harvest handling and storage",null,0.14000000000000001,null,"Latin America","Meat","Post-harvest handling and storage",1.0999999999999999E-2,3.6076458752515085E-3,7.3923541247484905E-3]
[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,null,"North Africa, West and Central Asia","Meat","Post-harvest handling and storage",2E-3,6.5593561368209252E-4,1.3440643863179074E-3]
[null,null,null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Post-harvest handling and storage",null,0.1,null,"North America and Oceania","Meat","Post-harvest handling and storage",0.01,3.2796780684104625E-3,6.7203219315895369E-3]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Roots and tubers","Post-harvest handling and storage",null,0.19,null,"South and Southeast Asia","Meat","Post-harvest handling and storage",3.0000000000000001E-3,9.8390342052313883E-4,2.0160965794768612E-3]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Roots and tubers","Post-harvest handling and storage",null,0.18,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)","Cereals","Consumption",null,0.25,null,"Europe (incl. Russia)","Milk","Post-harvest handling and storage",5.0000000000000001E-3,1.6398390342052312E-3,3.3601609657947684E-3]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Cereals","Consumption",null,0.2,null,"Industrialized Asia","Milk","Post-harvest handling and storage",0.01,3.2796780684104625E-3,6.7203219315895369E-3]
[null,null,null,null,null,null,null,null,"Latin America","Cereals","Consumption",null,0.1,null,"Latin America","Milk","Post-harvest handling and storage",0.06,1.9678068410462775E-2,4.0321931589537223E-2]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Cereals","Consumption",null,0.12,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,"North America and Oceania","Cereals","Consumption",null,0.17,null,"North America and Oceania","Milk","Post-harvest handling and storage",5.0000000000000001E-3,1.6398390342052312E-3,3.3601609657947684E-3]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Cereals","Consumption",null,0.03,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,"Sub-Saharan Africa","Cereals","Consumption",null,0.01,null,"Sub-Saharan Africa","Milk","Post-harvest handling and storage",0.11,3.6076458752515091E-2,7.3923541247484903E-2]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Fish and seafood","Consumption",null,0.11,null,"Europe (incl. Russia)","Oilseeds and pulses","Post-harvest handling and storage",0.01,9.8390804597701144E-3,1.6091954022988506E-4]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Fish and seafood","Consumption",null,0.08,null,"Industrialized Asia","Oilseeds and pulses","Post-harvest handling and storage",0.03,2.9517241379310343E-2,4.8275862068965512E-4]
[null,null,null,null,null,null,null,null,"Latin America","Fish and seafood","Consumption",null,0.04,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,"North Africa, West and Central Asia","Fish and seafood","Consumption",null,0.04,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 America and Oceania","Fish and seafood","Consumption",null,0.33,null,"North America and Oceania","Oilseeds and pulses","Post-harvest handling and storage",0,0,0]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Fish and seafood","Consumption",null,0.02,null,"South and Southeast Asia","Oilseeds and pulses","Post-harvest handling and storage",0.12,0.11806896551724137,1.9310344827586205E-3]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Fish and seafood","Consumption",null,0.02,null,"Sub-Saharan Africa","Oilseeds and pulses","Post-harvest handling and storage",0.08,7.8712643678160915E-2,1.2873563218390805E-3]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Fruits and vegetables","Consumption",null,0.19,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,"Industrialized Asia","Fruits and vegetables","Consumption",null,0.15,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,"Latin America","Fruits and vegetables","Consumption",null,0.1,null,"Latin America","Roots and tubers","Post-harvest handling and storage",0.14000000000000001,0.10996799275928747,3.0032007240712557E-2]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Fruits and vegetables","Consumption",null,0.12,null,"North Africa, West and Central Asia","Roots and tubers","Post-harvest handling and storage",0.1,7.8548566256633909E-2,2.1451433743366111E-2]
[null,null,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Consumption",null,0.28000000000000003,null,"North America and Oceania","Roots and tubers","Post-harvest handling and storage",0.1,7.8548566256633909E-2,2.1451433743366111E-2]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Fruits and vegetables","Consumption",null,7.0000000000000007E-2,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,"Sub-Saharan Africa","Fruits and vegetables","Consumption",null,0.05,null,"Sub-Saharan Africa","Roots and tubers","Post-harvest handling and storage",0.18,0.14138741926194101,3.8612580738058996E-2]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Meat","Consumption",null,0.11]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Meat","Consumption",null,0.08]
[null,null,null,null,null,null,null,null,"Latin America","Meat","Consumption",null,0.06]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Meat","Consumption",null,0.08]
[null,null,null,null,null,null,null,null,"North America and Oceania","Meat","Consumption",null,0.11]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Meat","Consumption",null,0.04]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Meat","Consumption",null,0.02]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Milk","Consumption",null,7.0000000000000007E-2]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Milk","Consumption",null,0.05]
[null,null,null,null,null,null,null,null,"Latin America","Milk","Consumption",null,0.04]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Milk","Consumption",null,0.02]
[null,null,null,null,null,null,null,null,"North America and Oceania","Milk","Consumption",null,0.15]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Milk","Consumption",null,0.01]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Milk","Consumption",null,1E-3]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Oilseeds and pulses","Consumption",null,0.04]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Oilseeds and pulses","Consumption",null,0.04]
[null,null,null,null,null,null,null,null,"Latin America","Oilseeds and pulses","Consumption",null,0.02]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Oilseeds and pulses","Consumption",null,0.02]
[null,null,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Consumption",null,0.04]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Oilseeds and pulses","Consumption",null,0.01]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Oilseeds and pulses","Consumption",null,0.01]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Roots and tubers","Consumption",null,0.17]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Roots and tubers","Consumption",null,0.1]
[null,null,null,null,null,null,null,null,"Latin America","Roots and tubers","Consumption",null,0.04]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Roots and tubers","Consumption",null,0.06]
[null,null,null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Consumption",null,0.3]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Roots and tubers","Consumption",null,0.03]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Roots and tubers","Consumption",null,0.02]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Cereals","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J301,$I$427:$I$433,0),MATCH(L301,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I301=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J301=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K301=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.8397335848635671E-2}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Cereals","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J302,$I$427:$I$433,0),MATCH(L302,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I302=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J302=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K302=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":7.0993339621589185E-2}]
[null,null,null,null,null,null,null,null,"Latin America","Cereals","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J303,$I$427:$I$433,0),MATCH(L303,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I303=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J303=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K303=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.8397335848635671E-2}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Cereals","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J304,$I$427:$I$433,0),MATCH(L304,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I304=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J304=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K304=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":5.6794671697271343E-2}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Cereals","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J305,$I$427:$I$433,0),MATCH(L305,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I305=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J305=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K305=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.4198667924317836E-2}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Cereals","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J306,$I$427:$I$433,0),MATCH(L306,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I306=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J306=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K306=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.9695337735112428E-2}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Cereals","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J307,$I$427:$I$433,0),MATCH(L307,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I307=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J307=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K307=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":5.6794671697271343E-2}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Fish and seafood","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J308,$I$427:$I$433,0),MATCH(L308,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I308=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J308=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K308=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Fish and seafood","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J309,$I$427:$I$433,0),MATCH(L309,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I309=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J309=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K309=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"Latin America","Fish and seafood","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J310,$I$427:$I$433,0),MATCH(L310,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I310=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J310=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K310=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Fish and seafood","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J311,$I$427:$I$433,0),MATCH(L311,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I311=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J311=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K311=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J312,$I$427:$I$433,0),MATCH(L312,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I312=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J312=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K312=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Fish and seafood","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J313,$I$427:$I$433,0),MATCH(L313,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I313=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J313=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K313=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Fish and seafood","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J314,$I$427:$I$433,0),MATCH(L314,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I314=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J314=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K314=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Fruits and vegetables","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J315,$I$427:$I$433,0),MATCH(L315,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I315=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J315=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K315=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":8.574229218829164E-3}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Fruits and vegetables","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J316,$I$427:$I$433,0),MATCH(L316,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I316=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J316=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K316=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.3718766750126661E-2}]
[null,null,null,null,null,null,null,null,"Latin America","Fruits and vegetables","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J317,$I$427:$I$433,0),MATCH(L317,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I317=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J317=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K317=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.7148458437658328E-2}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Fruits and vegetables","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J318,$I$427:$I$433,0),MATCH(L318,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I318=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J318=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K318=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.7148458437658328E-2}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J319,$I$427:$I$433,0),MATCH(L319,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I319=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J319=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K319=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":6.8593833750633304E-3}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Fruits and vegetables","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J320,$I$427:$I$433,0),MATCH(L320,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I320=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J320=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K320=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.5433612593892494E-2}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Fruits and vegetables","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J321,$I$427:$I$433,0),MATCH(L321,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I321=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J321=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K321=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.5433612593892494E-2}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Meat","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J322,$I$427:$I$433,0),MATCH(L322,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I322=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J322=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K322=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.2957746478873241E-3}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Meat","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J323,$I$427:$I$433,0),MATCH(L323,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I323=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J323=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K323=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.9678068410462777E-3}]
[null,null,null,null,null,null,null,null,"Latin America","Meat","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J324,$I$427:$I$433,0),MATCH(L324,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I324=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J324=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K324=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.6076458752515085E-3}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Meat","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J325,$I$427:$I$433,0),MATCH(L325,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I325=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J325=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K325=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":6.5593561368209252E-4}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Meat","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J326,$I$427:$I$433,0),MATCH(L326,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I326=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J326=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K326=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.2796780684104625E-3}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Meat","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J327,$I$427:$I$433,0),MATCH(L327,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I327=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J327=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K327=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":9.8390342052313883E-4}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Meat","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J328,$I$427:$I$433,0),MATCH(L328,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I328=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J328=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K328=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.2957746478873241E-3}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Milk","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J329,$I$427:$I$433,0),MATCH(L329,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I329=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J329=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K329=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.6398390342052312E-3}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Milk","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J330,$I$427:$I$433,0),MATCH(L330,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I330=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J330=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K330=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.2796780684104625E-3}]
[null,null,null,null,null,null,null,null,"Latin America","Milk","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J331,$I$427:$I$433,0),MATCH(L331,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I331=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J331=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K331=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.9678068410462775E-2}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Milk","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J332,$I$427:$I$433,0),MATCH(L332,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I332=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J332=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K332=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.9678068410462775E-2}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Milk","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J333,$I$427:$I$433,0),MATCH(L333,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I333=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J333=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K333=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.6398390342052312E-3}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Milk","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J334,$I$427:$I$433,0),MATCH(L334,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I334=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J334=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K334=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.9678068410462775E-2}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Milk","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J335,$I$427:$I$433,0),MATCH(L335,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I335=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J335=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K335=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.6076458752515091E-2}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Oilseeds and pulses","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J336,$I$427:$I$433,0),MATCH(L336,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I336=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J336=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K336=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":9.8390804597701144E-3}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Oilseeds and pulses","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J337,$I$427:$I$433,0),MATCH(L337,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I337=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J337=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K337=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.9517241379310343E-2}]
[null,null,null,null,null,null,null,null,"Latin America","Oilseeds and pulses","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J338,$I$427:$I$433,0),MATCH(L338,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I338=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J338=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K338=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.9517241379310343E-2}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Oilseeds and pulses","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J339,$I$427:$I$433,0),MATCH(L339,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I339=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J339=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K339=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":5.9034482758620686E-2}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J340,$I$427:$I$433,0),MATCH(L340,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I340=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J340=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K340=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Oilseeds and pulses","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J341,$I$427:$I$433,0),MATCH(L341,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I341=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J341=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K341=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0.11806896551724137}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Oilseeds and pulses","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J342,$I$427:$I$433,0),MATCH(L342,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I342=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J342=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K342=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":7.8712643678160915E-2}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Roots and tubers","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J343,$I$427:$I$433,0),MATCH(L343,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I343=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J343=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K343=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":7.0693709630970505E-2}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Roots and tubers","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J344,$I$427:$I$433,0),MATCH(L344,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I344=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J344=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K344=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":5.4983996379643733E-2}]
[null,null,null,null,null,null,null,null,"Latin America","Roots and tubers","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J345,$I$427:$I$433,0),MATCH(L345,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I345=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J345=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K345=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0.10996799275928747}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Roots and tubers","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J346,$I$427:$I$433,0),MATCH(L346,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I346=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J346=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K346=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":7.8548566256633909E-2}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J347,$I$427:$I$433,0),MATCH(L347,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I347=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J347=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K347=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":7.8548566256633909E-2}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Roots and tubers","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J348,$I$427:$I$433,0),MATCH(L348,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I348=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J348=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K348=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0.14924227588760441}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Roots and tubers","Post-harvest handling and storage","Storage",{"$f":"INDEX($K$427:$L$433,MATCH(J349,$I$427:$I$433,0),MATCH(L349,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I349=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J349=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K349=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0.14138741926194101}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Cereals","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J350,$I$427:$I$433,0),MATCH(L350,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I350=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J350=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K350=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.1602664151364324E-2}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Cereals","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J351,$I$427:$I$433,0),MATCH(L351,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I351=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J351=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K351=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.900666037841081E-2}]
[null,null,null,null,null,null,null,null,"Latin America","Cereals","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J352,$I$427:$I$433,0),MATCH(L352,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I352=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J352=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K352=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.1602664151364324E-2}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Cereals","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J353,$I$427:$I$433,0),MATCH(L353,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I353=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J353=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K353=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.3205328302728648E-2}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Cereals","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J354,$I$427:$I$433,0),MATCH(L354,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I354=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J354=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K354=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":5.8013320756821621E-3}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Cereals","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J355,$I$427:$I$433,0),MATCH(L355,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I355=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J355=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K355=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.0304662264887568E-2}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Cereals","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J356,$I$427:$I$433,0),MATCH(L356,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I356=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J356=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K356=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.3205328302728648E-2}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Fish and seafood","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J357,$I$427:$I$433,0),MATCH(L357,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I357=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J357=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K357=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Fish and seafood","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J358,$I$427:$I$433,0),MATCH(L358,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I358=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J358=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K358=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"Latin America","Fish and seafood","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J359,$I$427:$I$433,0),MATCH(L359,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I359=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J359=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K359=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Fish and seafood","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J360,$I$427:$I$433,0),MATCH(L360,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I360=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J360=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K360=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J361,$I$427:$I$433,0),MATCH(L361,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I361=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J361=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K361=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Fish and seafood","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J362,$I$427:$I$433,0),MATCH(L362,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I362=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J362=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K362=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Fish and seafood","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J363,$I$427:$I$433,0),MATCH(L363,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I363=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J363=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K363=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Fruits and vegetables","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J364,$I$427:$I$433,0),MATCH(L364,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I364=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J364=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K364=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.1425770781170844E-2}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Fruits and vegetables","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J365,$I$427:$I$433,0),MATCH(L365,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I365=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J365=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K365=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":6.6281233249873339E-2}]
[null,null,null,null,null,null,null,null,"Latin America","Fruits and vegetables","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J366,$I$427:$I$433,0),MATCH(L366,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I366=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J366=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K366=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":8.2851541562341688E-2}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Fruits and vegetables","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J367,$I$427:$I$433,0),MATCH(L367,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I367=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J367=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K367=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":8.2851541562341688E-2}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J368,$I$427:$I$433,0),MATCH(L368,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I368=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J368=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K368=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.314061662493667E-2}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Fruits and vegetables","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J369,$I$427:$I$433,0),MATCH(L369,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I369=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J369=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K369=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":7.4566387406107507E-2}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Fruits and vegetables","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J370,$I$427:$I$433,0),MATCH(L370,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I370=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J370=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K370=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":7.4566387406107507E-2}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Meat","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J371,$I$427:$I$433,0),MATCH(L371,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I371=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J371=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K371=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.7042253521126761E-3}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Meat","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J372,$I$427:$I$433,0),MATCH(L372,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I372=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J372=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K372=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.0321931589537225E-3}]
[null,null,null,null,null,null,null,null,"Latin America","Meat","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J373,$I$427:$I$433,0),MATCH(L373,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I373=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J373=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K373=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":7.3923541247484905E-3}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Meat","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J374,$I$427:$I$433,0),MATCH(L374,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I374=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J374=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K374=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.3440643863179074E-3}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Meat","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J375,$I$427:$I$433,0),MATCH(L375,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I375=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J375=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K375=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":6.7203219315895369E-3}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Meat","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J376,$I$427:$I$433,0),MATCH(L376,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I376=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J376=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K376=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.0160965794768612E-3}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Meat","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J377,$I$427:$I$433,0),MATCH(L377,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I377=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J377=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K377=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.7042253521126761E-3}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Milk","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J378,$I$427:$I$433,0),MATCH(L378,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I378=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J378=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K378=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.3601609657947684E-3}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Milk","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J379,$I$427:$I$433,0),MATCH(L379,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I379=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J379=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K379=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":6.7203219315895369E-3}]
[null,null,null,null,null,null,null,null,"Latin America","Milk","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J380,$I$427:$I$433,0),MATCH(L380,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I380=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J380=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K380=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.0321931589537223E-2}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Milk","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J381,$I$427:$I$433,0),MATCH(L381,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I381=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J381=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K381=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.0321931589537223E-2}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Milk","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J382,$I$427:$I$433,0),MATCH(L382,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I382=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J382=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K382=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.3601609657947684E-3}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Milk","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J383,$I$427:$I$433,0),MATCH(L383,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I383=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J383=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K383=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.0321931589537223E-2}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Milk","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J384,$I$427:$I$433,0),MATCH(L384,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I384=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J384=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K384=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":7.3923541247484903E-2}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Oilseeds and pulses","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J385,$I$427:$I$433,0),MATCH(L385,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I385=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J385=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K385=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.6091954022988506E-4}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Oilseeds and pulses","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J386,$I$427:$I$433,0),MATCH(L386,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I386=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J386=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K386=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.8275862068965512E-4}]
[null,null,null,null,null,null,null,null,"Latin America","Oilseeds and pulses","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J387,$I$427:$I$433,0),MATCH(L387,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I387=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J387=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K387=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.8275862068965512E-4}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Oilseeds and pulses","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J388,$I$427:$I$433,0),MATCH(L388,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I388=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J388=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K388=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":9.6551724137931025E-4}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J389,$I$427:$I$433,0),MATCH(L389,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I389=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J389=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K389=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":0}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Oilseeds and pulses","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J390,$I$427:$I$433,0),MATCH(L390,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I390=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J390=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K390=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.9310344827586205E-3}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Oilseeds and pulses","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J391,$I$427:$I$433,0),MATCH(L391,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I391=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J391=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K391=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.2873563218390805E-3}]
[null,null,null,null,null,null,null,null,"Europe (incl. Russia)","Roots and tubers","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J392,$I$427:$I$433,0),MATCH(L392,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I392=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J392=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K392=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.9306290369029498E-2}]
[null,null,null,null,null,null,null,null,"Industrialized Asia","Roots and tubers","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J393,$I$427:$I$433,0),MATCH(L393,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I393=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J393=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K393=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":1.5016003620356278E-2}]
[null,null,null,null,null,null,null,null,"Latin America","Roots and tubers","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J394,$I$427:$I$433,0),MATCH(L394,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I394=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J394=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K394=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.0032007240712557E-2}]
[null,null,null,null,null,null,null,null,"North Africa, West and Central Asia","Roots and tubers","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J395,$I$427:$I$433,0),MATCH(L395,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I395=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J395=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K395=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.1451433743366111E-2}]
[null,null,null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J396,$I$427:$I$433,0),MATCH(L396,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I396=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J396=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K396=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":2.1451433743366111E-2}]
[null,null,null,null,null,null,null,null,"South and Southeast Asia","Roots and tubers","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J397,$I$427:$I$433,0),MATCH(L397,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I397=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J397=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K397=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":4.0757724112395609E-2}]
[null,null,null,null,null,null,null,null,"Sub-Saharan Africa","Roots and tubers","Post-harvest handling and storage","Transport",{"$f":"INDEX($K$427:$L$433,MATCH(J398,$I$427:$I$433,0),MATCH(L398,$K$426:$L$426,0))*INDEX(FAOGlobalFoodLossEstimate[Waste (%)],MATCH(1,(I398=FAOGlobalFoodLossEstimate[FAO Wider Region])*(J398=FAOGlobalFoodLossEstimate[FAO Commodity group])*(K398=FAOGlobalFoodLossEstimate[FAO Supply Chain stage]),0))","v":3.8612580738058996E-2}]
[]
[]
[null,null,null,null,null,null,null,null,"Average of food losses at storage and transport stage"]
[null,null,null,null,null,null,null,null,"year","(Multiple Items)"]
[null,null,null,null,null,null,null,null,"UN sub-region","(Multiple Items)"]
[]
[null,null,null,null,null,null,null,null,"Average of loss_percentage","IFC Supply Chain Stage"]
[null,null,null,null,null,null,null,null,"IFC Category","Storage","Transport"]
[null,null,null,null,null,null,null,null,"Animal Protein",0.81500000000000006,1.6700000000000002]
[null,null,null,null,null,null,null,null,"Fruits",2.1231818181818185,10.257999999999999]
[null,null,null,null,null,null,null,null,"Nuts/Seeds",4.28,7.0000000000000007E-2]
[null,null,null,null,null,null,null,null,"Pulses & Grains",3.1342864222002356,1.2806156501726127]
[null,null,null,null,null,null,null,null,"Tubers/Root Crops",7.6987096774193553,2.1025]
[null,null,null,null,null,null,null,null,"Vegetables ",0.78800000000000003,12.5]
[null,null,null,null,null,null,null,null,"Mycoprotein",1.4566666666666668,0.77]
[]
[null,null,null,null,null,null,null,null,null,"Distribution of losses"]
[null,null,null,null,null,null,null,null,"IFC category","Storage","Transport"]
[null,null,null,null,null,null,null,null,{"$f":"I407","v":"Animal Protein"},{"$f":"J407/SUM($J407:$K407)","v":0.32796780684104626},0.67203219315895368]
[null,null,null,null,null,null,null,null,"Fruits",0.17148458437658326,0.8285154156234168]
[null,null,null,null,null,null,null,null,"Nuts/Seeds",0.98390804597701143,1.6091954022988506E-2]
[null,null,null,null,null,null,null,null,"Pulses & Grains",0.7099333962158918,0.29006660378410809]
[null,null,null,null,null,null,null,null,"Tubers/Root Crops",0.785485662566339,0.21451433743366111]
[null,null,null,null,null,null,null,null,"Vegetables ",5.9301625526791094E-2,0.94069837447320892]
[null,null,null,null,null,null,null,null,"Mycoprotein",0.65419161676646709,0.34580838323353297]
[]
[null,null,null,null,null,null,null,null,null,null,"Distribution of losses"]
[null,null,null,null,null,null,null,null,"FAO commodity","IFC Commodity","Storage","Transport"]
[null,null,null,null,null,null,null,null,"Cereals",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I427,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.7099333962158918},{"$f":"IFERROR(INDEX(Table82[Transport],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.29006660378410809}]
[null,null,null,null,null,null,null,null,"Fish and seafood",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I428,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":""}]
[null,null,null,null,null,null,null,null,"Fruits and vegetables",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I429,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Fruits"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.17148458437658326},{"$f":"IFERROR(INDEX(Table82[Transport],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.8285154156234168}]
[null,null,null,null,null,null,null,null,"Meat",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I430,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Animal Protein"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.32796780684104626},{"$f":"IFERROR(INDEX(Table82[Transport],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.67203219315895368}]
[null,null,null,null,null,null,null,null,"Milk",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I431,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Animal Protein"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.32796780684104626},{"$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",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I432,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Nuts/Seeds"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.98390804597701143},{"$f":"IFERROR(INDEX(Table82[Transport],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":1.6091954022988506E-2}]
[null,null,null,null,null,null,null,null,"Roots and tubers",{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(I433,IFC_Commodity_CommodityGroup[FAO commodity group],0)),\"\")","v":"Tubers/Root Crops"},{"$f":"IFERROR(INDEX(Table82[Storage],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.785485662566339},{"$f":"IFERROR(INDEX(Table82[Transport],MATCH(Table83[[#This Row],[IFC Commodity]],Table82[IFC category],0)),\"\")","v":0.21451433743366111}]

{"sheet":"FAO Food Loss Data","index":8,"n_rows":32789,"n_cols":25,"rows_kept":562,"cut":true,"hidden":true,"merged":[],"bounds":{"rows_first":250,"rows_last":62,"rows_between":250,"halvings":3}}
["FAO data"]
["Source (updated 08/02/2022):","www.fao.org/food-loss-and-food-waste/flw-data/en/"]
[]
[]
["FAO data"]
["Calculated 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","UN sub-region","FAO region","IFC Commodity","IFC Category","FAO category","IFC Supply Chain Stage"]
[104,"Myanmar",null,142,"Groundnuts, excluding shelled",2009,5.22,5.2200000000000003E-2,68100,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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":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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[104,"Myanmar",null,142,"Groundnuts, excluding shelled",2008,5.43,5.4300000000000001E-2,65240,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"South-eastern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$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}]
[104,"Myanmar",null,142,"Groundnuts, excluding shelled",2007,5.61,5.6099999999999997E-2,61080,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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":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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[104,"Myanmar",null,142,"Groundnuts, excluding shelled",2006,5.4,5.3999999999999999E-2,55270,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"South-eastern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$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}]
[104,"Myanmar",null,142,"Groundnuts, excluding shelled",2005,5,0.05,51970,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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":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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[104,"Myanmar",null,142,"Groundnuts, excluding shelled",2004,5,0.05,47310,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"South-eastern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$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}]
[104,"Myanmar",null,142,"Groundnuts, excluding shelled",2003,5,0.05,43880,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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":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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[104,"Myanmar",null,113,"Rice",1994,2.1,2.1,null,null,"Harvest",null,"Too Mature, Leading To Breakage",null,null,null,"http://www.fao.org/docrep/004/ac301e/AC301e04.htm#3.1 Methodological problems",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"South-eastern Asia"},{"$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":0}]
[104,"Myanmar",null,113,"Rice",1994,0.5,0.5,null,null,"Farm",null,"Field Stacking And Bundling",null,null,null,"http://www.fao.org/docrep/004/ac301e/AC301e04.htm#3.1 Methodological problems",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[104,"Myanmar",null,113,"Rice",1994,5.2,5.2,null,null,"Farm",null,"Reaper-Binder",null,null,"(Calverley: evaluation of 11 FAO projects in Asia)","http://www.fao.org/docrep/004/ac301e/AC301e04.htm#3.1 Methodological problems",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"South-eastern Asia"},{"$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":"Production"}]
[104,"Myanmar",null,113,"Rice",1994,1.9,1.9,null,null,"Harvest",null,"Traditional Hand Cutting",null,null,"(Calverley: evaluation of 11 FAO projects in Asia)","http://www.fao.org/docrep/004/ac301e/AC301e04.htm#3.1 Methodological problems",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[104,"Myanmar",null,113,"Rice",1994,2.1,2.1,null,"Harvesting","Harvest",null,"Combine-Harvester",null,null,"(Calverley: evaluation of 11 FAO projects in Asia)","http://www.fao.org/docrep/004/ac301e/AC301e04.htm#3.1 Methodological problems",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"South-eastern Asia"},{"$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":0}]
[104,"Myanmar",null,113,"Rice",1994,5.4,5.4,null,null,"Harvest",null,"Shoulder Power Reaper",null,null,"(Calverley: evaluation of 11 FAO projects in Asia)","http://www.fao.org/docrep/004/ac301e/AC301e04.htm#3.1 Methodological problems",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,111,"Wheat",2020,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2020,4.87,4.87,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2020,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2020,4.43,4.43,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,112,"Maize (corn)",2020,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2020,1.32,1.32,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2020,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2020,5.26,5.26,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2020,2.36,2.36,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2020,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2020,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2020,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2020,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2020,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2020,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2020,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,114,"Sorghum",2020,2.69,2.69,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2020,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2020,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2020,1.18,1.18,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2020,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2020,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2020,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2019,4.43,4.43,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,111,"Wheat",2019,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2019,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2019,4.87,4.87,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2019,2.36,2.36,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2019,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2019,5.26,5.26,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2019,1.32,1.32,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2019,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2019,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2019,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2019,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2019,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2019,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2019,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,114,"Sorghum",2019,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2019,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2019,2.69,2.69,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2019,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,118,"Millet",2019,1.18,1.18,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2019,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2019,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2019,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2018,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2018,4.43,4.43,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,111,"Wheat",2018,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2018,4.87,4.87,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2018,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2018,1.32,1.32,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2018,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2018,5.26,5.26,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2018,2.36,2.36,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2018,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2018,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2018,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2018,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2018,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,114,"Sorghum",2018,2.69,2.69,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2018,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2018,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2018,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,118,"Millet",2018,1.18,1.18,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2018,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2018,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2018,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2018,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2017,4.87,4.87,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2017,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2017,4.43,4.43,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,111,"Wheat",2017,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2017,1.32,1.32,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2017,2.36,2.36,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2017,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,112,"Maize (corn)",2017,5.26,5.26,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2017,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2017,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2017,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2017,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2017,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,113,"Rice",2017,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2017,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2017,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2017,2.69,2.69,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2017,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2017,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2017,1.18,1.18,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2017,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,118,"Millet",2017,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2017,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2016,4.87,4.87,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2016,4.43,4.43,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,111,"Wheat",2016,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2016,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2016,1.32,1.32,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2016,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2016,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2016,2.36,2.36,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2016,5.26,5.26,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2016,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2016,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2016,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2016,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2016,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2016,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2016,2.69,2.69,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2016,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2016,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2016,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2016,1.18,1.18,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2016,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2016,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2016,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2015,4.43,4.43,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,111,"Wheat",2015,4.87,4.87,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2015,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2015,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2015,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2015,1.32,1.32,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2015,2.36,2.36,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2015,5.26,5.26,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2015,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,113,"Rice",2015,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2015,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,113,"Rice",2015,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2015,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2015,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2015,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,114,"Sorghum",2015,2.69,2.69,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2015,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2015,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2015,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,118,"Millet",2015,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2015,1.18,1.18,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2015,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2015,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2014,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2014,4.87,4.87,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2014,4.43,4.43,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2014,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2014,5.26,5.26,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2014,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2014,2.36,2.36,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2014,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,112,"Maize (corn)",2014,1.32,1.32,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2014,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,113,"Rice",2014,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2014,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2014,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2014,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2014,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2014,2.69,2.69,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2014,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2014,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2014,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2014,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2014,1.18,1.18,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2014,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,118,"Millet",2014,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2013,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2013,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2013,4.87,4.87,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2013,4.43,4.43,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2013,1.32,1.32,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2013,5.26,5.26,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2013,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2013,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2013,2.36,2.36,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2013,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2013,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2013,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2013,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2013,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2013,2.69,2.69,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2013,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2013,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2013,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2013,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2013,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2013,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,118,"Millet",2013,1.18,1.18,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2013,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2012,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2012,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2012,4.87,4.87,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2012,4.43,4.43,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,112,"Maize (corn)",2012,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2012,5.26,5.26,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2012,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2012,2.36,2.36,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2012,1.32,1.32,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2012,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2012,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2012,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2012,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2012,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2012,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2012,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2012,2.69,2.69,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2012,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,118,"Millet",2012,1.18,1.18,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2012,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2012,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2012,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2012,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2011,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2011,4.43,4.43,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,111,"Wheat",2011,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,111,"Wheat",2011,4.87,4.87,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2011,1.32,1.32,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2011,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2011,5.26,5.26,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,112,"Maize (corn)",2011,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2011,2.36,2.36,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2011,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2011,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2011,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2011,1.2,1.2,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,113,"Rice",2011,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2011,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,114,"Sorghum",2011,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2011,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,114,"Sorghum",2011,2.69,2.69,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2011,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[108,"Burundi",null,118,"Millet",2011,1.18,1.18,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2011,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2011,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2007,1.18,1.18,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[108,"Burundi",null,118,"Millet",2002,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[116,"Cambodia",null,1213,"Cauliflowers and broccoli",2006,6,0.06,"44kg/MT","Wholesale","Wholesale","Dry season 2 ( January to April)",null,null,"Survey","Genova 2 et al (2006)",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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":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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[120,"Cameroon",null,113,"Rice",2009,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[120,"Cameroon",null,112,"Maize (corn)",2003,4.96,4.96,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[124,"Canada",null,231,"Hen eggs in shell, fresh",2010,1.95,1.95E-2,8800,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North America and Oceania"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Eggs"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Animal Protein"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":0},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[124,"Canada",null,1359.9,"Other fruits, n.e.",2002,9.6999999999999993,9.7000000000000003E-2,2180,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[124,"Canada",null,1213,"Cauliflowers and broccoli",1999,6.49,6.4899999999999999E-2,5600,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$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}]
[124,"Canada",null,1251,"Carrots and turnips",1997,2.37,2.3699999999999999E-2,6880,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":"Carrots"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Tubers/Root Crops"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[124,"Canada",null,1355.02,"Cranberries and other fruits of the genus Vaccinium",1991,4.24,4.24E-2,750,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$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}]
[148,"Chad",null,112,"Maize (corn)",2020,4.5999999999999996,4.5999999999999996,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[148,"Chad",null,113,"Rice",2020,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[148,"Chad",null,111,"Wheat",2011,3.1,3.1,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[148,"Chad",null,118,"Millet",2008,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[152,"Chile",null,1510,"Potatoes",1977,30,30,null,null,"Whole supply chain",null,null,null,"Literature Review",null,"https://www.nap.edu/catalog/20028/postharvest-food-losses-in-developing-countries",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":"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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[156,"China","Daxing, Tongxian, and Yanqing counties, which are satellite towns of Beijing, and in Jixian County of Hebei Province, which is a suburb very close to Beijing",1213,"Cauliflowers and broccoli",2001,0.5,0.5,null,null,"Wholesale",null,"Produce For Domestic Market, On The Other Hand, Was Subject To Large Losses Because Of Bad Treatment And Handling",null,"No Data Collection Specified","Shufang Zheng Wu Li Lipu Gao and Ping Wu","http://aciar.gov.au/files/node/2249/p105chapter1.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Eastern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Industrialized Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$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}]
[180,"Democratic Republic of the Congo",null,114,"Sorghum",2019,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[180,"Democratic Republic of the Congo",null,113,"Rice",2008,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[180,"Democratic Republic of the Congo",null,114,"Sorghum",2004,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[180,"Democratic Republic of the Congo",null,114,"Sorghum",2000,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[204,"Benin",null,114,"Sorghum",2018,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[204,"Benin",null,114,"Sorghum",2014,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[204,"Benin",null,112,"Maize (corn)",2012,4.43,4.43,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[204,"Benin",null,112,"Maize (corn)",2006,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[204,"Benin",null,1193,"Fonio",2004,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[204,"Benin",null,1193,"Fonio",2001,0.3,0.3,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[208,"Denmark",null,115,"Barley",1992,3.03,3.0300000000000001E-2,90000,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[218,"Ecuador",null,113,"Rice",2002,4.4800000000000004,4.48E-2,64225,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Latin America and the Caribbean"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Latin America"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$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}]
[231,"Ethiopia",null,114,"Sorghum",2020,2.72,2.72,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[231,"Ethiopia",null,114,"Sorghum",2018,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[231,"Ethiopia",null,114,"Sorghum",2016,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[231,"Ethiopia",null,114,"Sorghum",2011,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,117,"Oats",2010,1.3,1.3,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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":"Oats"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Cereals"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[231,"Ethiopia",null,114,"Sorghum",2007,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[231,"Ethiopia",null,115,"Barley",2002,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[231,"Ethiopia",null,115,"Barley",2000,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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":"Transport"}]
[232,"Eritrea",null,112,"Maize (corn)",2019,4.28,4.28,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[232,"Eritrea",null,112,"Maize (corn)",2009,2.42,2.42,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[232,"Eritrea",null,112,"Maize (corn)",2005,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[232,"Eritrea",null,112,"Maize (corn)",2001,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2017,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[24,"Angola",null,113,"Rice",2014,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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":"Transport"}]
[24,"Angola",null,118,"Millet",2008,0.93,0.93,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[24,"Angola",null,113,"Rice",2004,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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":"Transport"}]
[24,"Angola",null,111,"Wheat",2002,1.3,1.3,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[250,"France",null,111,"Wheat",2015,0.91,9.1000000000000004E-3,387000,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Western Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$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}]
[250,"France",null,231,"Hen eggs in shell, fresh",2002,0.85,8.5000000000000006E-3,8500,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Western Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Eggs"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Animal Protein"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":0},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[268,"Georgia",null,1510,"Potatoes",2015,1.61,1.61E-2,3000,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Potatoes"},{"$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}]
[270,"Gambia",null,114,"Sorghum",2015,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[270,"Gambia",null,112,"Maize (corn)",2011,1.32,1.32,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[270,"Gambia",null,113,"Rice",2008,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[276,"Germany",null,1443,"Rapeseed or colza seed",2018,6.36,6.3600000000000004E-2,233775,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Western Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rapeseeds"},{"$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":0}]
[276,"Germany",null,1191,"Triticale",2008,2.02,2.0199999999999999E-2,48000,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Western Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[288,"Ghana",null,118,"Millet",2020,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2017,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[288,"Ghana",null,113,"Rice",2013,1.1599999999999999,1.1599999999999999,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[288,"Ghana","Nerica 1 & Nerica 2",113,"Rice",2009,2.19,"1.13-3.25",null,null,"Harvest",null,"Pancle/ Sickle Harvesting two varieties of rice","58  Table 1. Harvesting losses in of Nerica 1 and Nerica 2 rice varieties using two kind of harvesting methods: Panicle and sickle.","Controlled Experiment","Appiah F1*, Guisse R1 and Dartey P. K. A2; article1379942599_Appiah et al.pdf","http://academicjournals.org/article/article1379942599_Appiah%20et%20al.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[288,"Ghana",null,118,"Millet",2008,0.57999999999999996,5.7999999999999996E-3,null,"Transportation","Transport","Minor season",null,null,"No Data Collection Specified","The World Bank",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$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"}]
[288,"Ghana",null,112,"Maize (corn)",2007,2.36,2.36,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[31,"Azerbaijan",null,117,"Oats",2015,7.95,7.9500000000000001E-2,406,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Oats"},{"$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}]
[320,"Guatemala",null,1253.02,"Onions and shallots, dry (excluding dehydrated)",2016,9,0.09,12842,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":"Onions (dry)"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[320,"Guatemala",null,1802,"Sugar cane",2006,1,0.01,176316,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Latin America and the Caribbean"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Latin America"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sugar cane"},{"$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}]
[324,"Guinea",null,112,"Maize (corn)",2010,5.26,5.26,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[324,"Guinea",null,113,"Rice",2006,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[324,"Guinea",null,1193,"Fonio",2002,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[348,"Hungary",null,1445,"Sunflower seed",2003,0.76,7.6E-3,7538,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Eastern Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sunflower seeds"},{"$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":0}]
[348,"Hungary",null,1253.02,"Onions and shallots, dry (excluding dehydrated)",2001,4.4800000000000004,4.48E-2,7805,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Eastern Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Onions (dry)"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[356,"India","Maharashtra",111,"Wheat",2016,3.36,3.3599999999999998E-2,null,null,"Wholesale",null,null,null,"Literature Review","rajesh (2016), assessment of quantitative harvest and post-harvest losses of major crops/commodities in india",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$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}]
[356,"India","Maharashtra",1316,"Mangoes, guavas and mangosteens",2016,4.91,4.9099999999999998E-2,null,null,"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(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":"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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[356,"India",null,1446,"Safflower seed",2016,0.44,4.4000000000000003E-3,null,"Storage","Storage",null,null,null,"Literature Review","rajesh (2016), assessment of quantitative harvest and post-harvest losses of major crops/commodities in india",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$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"}]
[356,"India",null,1316,"Mangoes, guavas and mangosteens",2014,0.04,0.04,null,"Processing","Storage",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(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":"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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[356,"India",null,1379.01,"Areca nuts",2014,0.05,0.05,null,"Packaging","Farm",null,null,"3 agro-climatic zones","Survey","S.N.Jha, P.K. Vishwakarma Tauqueer Ahmad ; ICAR-All India Coordinated Research Project on Post-Harvest Technology","http://www.ciphet.in/upload/sphl/MOFPI%20REPORT1.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$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,1460,"Coconuts, in shell",2014,0.03,0.03,null,"Storage","Storage",null,null,"4 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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[356,"India",null,111,"Wheat",2006,0.04,0.04,null,"Drying","Farm",null,null,null,null,"ICAR - S.K. Nanda, P.K. Vishwakarma","https://www.researchgate.net/publication/280780214_Harvest_and_post_harvest_losses_of_major_crops_and_livestock_produce_in_India",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$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"}]
[356,"India",null,1242,"Peas, green",2006,0.3,0.3,null,"Storage","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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[356,"India",null,1330,"Grapes",2006,1.61,1.61,null,"Wholesale","Storage",null,null,null,"Survey","ICAR - S.K. Nanda, P.K. Vishwakarma","https://www.researchgate.net/publication/280780214_Harvest_and_post_harvest_losses_of_major_crops_and_livestock_produce_in_India",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"South and Southeast Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Grapes"},{"$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":"Storage"}]
[356,"India",null,1802,"Sugar cane",2006,1.1599999999999999,1.1599999999999999,null,"Processing","Storage",null,null,null,null,"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(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":"Sugar cane"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Tubers/Root Crops"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[36,"Australia",null,1212,"Cabbages",2013,32.5,0.32500000000000001,null,"Marketing","Market",null,null,null,"Survey","Gordon Rogers (2013), identifying new products, uses and markets for australian vegetables: a desktop study",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Oceania"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Australia and New Zealand"},{"$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":"Retail"}]
[360,"Indonesia",null,1510,"Potatoes",1997,4.92,4.9200000000000001E-2,40000,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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":"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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[372,"Ireland",null,115,"Barley",1998,5.31,5.3100000000000001E-2,57000,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Barley"},{"$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":0}]
[384,"CÃ´te d'Ivoire",null,112,"Maize (corn)",2019,5.25,5.25,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[384,"CÃ´te d'Ivoire",null,113,"Rice",2008,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[384,"CÃ´te d'Ivoire",null,114,"Sorghum",2004,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[384,"CÃ´te d'Ivoire","Northern",114,"Sorghum",1987,11.5,"11.0-12",null,null,"Storage",null,"Storage In Traditional Granaries In Tropical Africa",null,null,"African Studies Centre EHESS Paris","http://www.fao.org/docrep/004/ac301e/AC301e04.htm#3.1 Methodological problems",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[392,"Japan",null,21111.01,"Meat of cattle, fresh or chilled",1996,5.05,5.0500000000000003E-2,28000,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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":"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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[398,"Kazakhstan",null,1801,"Sugar beet",2013,2.17,2.1700000000000001E-2,1400,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Central Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North Africa, West and Central Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$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}]
[40,"Austria",null,1199.02,"Mixed grain",2017,8.52,8.5199999999999998E-2,882,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Western Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[40,"Austria",null,1345,"Peaches and nectarines",2009,4.4000000000000004,4.3999999999999997E-2,1796,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Western Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$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}]
[40,"Austria",null,1341,"Apples",2003,16.87,0.16869999999999999,71271,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Western Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Apples"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Fruits"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[40,"Austria",null,1214,"Lettuce and chicory",1998,7.08,7.0800000000000002E-2,5861,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Western Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Lettuce"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Vegetables"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Fruits and vegetables"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[404,"Kenya",null,115,"Barley",2020,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[404,"Kenya",null,118,"Millet",2018,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[404,"Kenya",null,111,"Wheat",2015,4.43,4.43,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[404,"Kenya",null,22290,"Dairy products n.e.c.",2012,0.6,0.6,null,null,"Wholesale",null,"With milk cooling system, but expensive and unreliable power supply",null,"Expert Opinion","Hezekiah G. Muriuki & Joyce M. Kiio-Mutua","http://www.fao.org/fileadmin/user_upload/save-food/PDF/Kenya_Food_Loss_Studies.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[404,"Kenya",null,115,"Barley",2010,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[404,"Kenya",null,112,"Maize (corn)",2004,1.65,1.65,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[404,"Kenya",null,113,"Rice",2002,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[410,"Republic of Korea","North Hwanghae, South Pyongan and Pongyang City",111,"Wheat",2014,11,11,null,"Drying, Storage","Storage",null,null,"6 demonstration farms","Case Study","Pyongyang Agricultural Campus/FAO","http://www.fao.org/3/a-az466e.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Eastern Asia"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Industrialized Asia"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Wheat"},{"$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"}]
[426,"Lesotho",null,114,"Sorghum",2014,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[426,"Lesotho",null,112,"Maize (corn)",2008,1.65,1.65,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[426,"Lesotho",null,112,"Maize (corn)",2002,2.42,2.42,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[440,"Lithuania",null,1191,"Triticale",2014,2.61,2.6100000000000002E-2,10300,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$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}]
[450,"Madagascar",null,113,"Rice",2018,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[450,"Madagascar",null,113,"Rice",2003,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2015,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[454,"Malawi",null,111,"Wheat",2012,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[454,"Malawi",null,114,"Sorghum",2010,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[454,"Malawi",null,111,"Wheat",2003,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[454,"Malawi",null,113,"Rice",2002,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[466,"Mali",null,118,"Millet",2017,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[466,"Mali",null,1193,"Fonio",2015,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[466,"Mali",null,118,"Millet",2012,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[466,"Mali",null,113,"Rice",2004,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[466,"Mali",null,112,"Maize (corn)",2001,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[478,"Mauritania",null,112,"Maize (corn)",2019,2.42,2.42,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[478,"Mauritania",null,111,"Wheat",2009,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[478,"Mauritania",null,114,"Sorghum",2006,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[478,"Mauritania",null,114,"Sorghum",2002,2.4700000000000002,2.4700000000000002,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[484,"Mexico",null,1322,"Lemons and limes",2011,0.65,0.65,"191 032",null,"Whole supply chain",null,null,null,null,null,null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":"Lemons"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Fruits"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[50,"Bangladesh",null,1213,"Cauliflowers and broccoli",2010,4.2,4.2,null,null,"Farm",null,null,100,"Survey","Mymensingh and Gazipur,","http://www.measurepostharvestlosses.com/sites/default/files/phlveg.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[50,"Bangladesh",null,1312,"Bananas",2010,5.0999999999999996,5.0999999999999996,null,null,"Trader",null,null,100,"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(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":"Bananas"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Fruits"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[50,"Bangladesh","Dinajpur",113,"Rice",2009,0.03,2.9999999999999997E-4,null,"Parboiling","Farm","Aman rice",null,933,"Survey","B. K Bala et al (2012)",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[50,"Bangladesh","Comilla",113,"Rice",2009,0.13,1.2999999999999999E-3,null,"Processing","Processing","Aman rice",null,933,"Survey","B. K Bala et al (2012)",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Processing"}]
[508,"Mozambique",null,113,"Rice",2017,1.02,1.02,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[508,"Mozambique",null,112,"Maize (corn)",2014,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[508,"Mozambique",null,112,"Maize (corn)",2011,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[508,"Mozambique",null,113,"Rice",2003,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[508,"Mozambique",null,114,"Sorghum",2000,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[51,"Armenia",null,1342.02,"Quinces",2014,7.88,7.8799999999999995E-2,200,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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":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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[516,"Namibia",null,112,"Maize (corn)",2012,1.8,1.8,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[516,"Namibia",null,112,"Maize (corn)",2009,1.1200000000000001,1.1200000000000001,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[516,"Namibia",null,112,"Maize (corn)",2002,5.09,5.09,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[528,"Netherlands",null,1510,"Potatoes",2002,2.72,2.7199999999999998E-2,200000,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Western Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[554,"New Zealand",null,1317,"Papayas",2002,5,5,null,"Grading, Sorting","Export",null,"Rejects Of Export Quantities","173383 kg  Quantity Exportable","No Data Collection Specified","Virendra Kumar","http://www.apo-tokyo.org/00e-books/AG-18_PostHarvest/AG-18_PostHarvest.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Oceania"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Australia and New Zealand"},{"$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}]
[562,"Niger",null,112,"Maize (corn)",2013,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[562,"Niger",null,118,"Millet",2009,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[562,"Niger",null,113,"Rice",2004,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[566,"Nigeria",null,23170.01,"Flour of cassava",2014,0.5,5.0000000000000001E-3,null,"Handling, Trading, Transportation","Transport","Gari",null,null,"Survey","(2015),  journal of agriculture and rural development in the tropics and subtropics vol.ghana incurs by far the highest losses because a high proportion of roots reach the consumers in the fresh form.most los",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Sub-Saharan Africa"},{"$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":"Transport"}]
[566,"Nigeria",null,1520.01,"Cassava, fresh",2013,8.51,8.51,"3,191,599 mt",null,"Farm",null,"Physical Losses","The survey comprised 400 cassava and maize farmers, 54 marketers and 63 processors","Survey","GIZ","https://www.giz.de/fachexpertise/downloads/giz2013-en-reducing-food-losses-improve-food-security.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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":"Cassava"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Tubers/Root Crops"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[566,"Nigeria",null,114,"Sorghum",2010,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[566,"Nigeria",null,118,"Millet",2000,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[586,"Pakistan",null,1316,"Mangoes, guavas and mangosteens",2009,2.7,2.7,null,null,"Storage","At 40 degree celsius",null,null,"Controlled Experiment","M.K. Baloch, F. Bibi / South African Journal of Botany 83 (2012) 109â€“116",null,"Expanded from loss factor 22424 based on the period_years.",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Mangoes"},{"$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":"Storage"}]
[586,"Pakistan","Northern region",1376,"Walnuts, in shell",2003,6.7,6.7000000000000004E-2,null,"Cleaning, Collection, Distribution, Drying, Field, Harvesting, Shelling, Storage, Threshing, Transportation","Whole supply chain",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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[591,"Panama",null,1520.01,"Cassava, fresh",2011,4.33,4.3299999999999998E-2,918,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Cassava"},{"$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}]
[591,"Panama",null,1540,"Yams",2007,3.8,3.7999999999999999E-2,973,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[591,"Panama",null,1510,"Potatoes",2002,10,0.1,2572,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[604,"Peru",null,1450,"Olives",2006,16.05,0.1605,8394,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[604,"Peru",null,23710,"Uncooked pasta, not stuffed or otherwise prepared",2004,1,0.01,2517,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Latin America and the Caribbean"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Latin America"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$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}]
[604,"Peru",null,231,"Hen eggs in shell, fresh",1998,15,0.15,21128.55,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":"Eggs"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Animal Protein"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":0},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[604,"Peru",null,1460,"Coconuts, in shell",1996,35,0.35,4545.1000000000004,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Latin America and the Caribbean"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Latin America"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$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}]
[604,"Peru",null,1215,"Spinach",1994,28,0.28000000000000003,1832,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[604,"Peru",null,1373,"Chestnuts, in shell",1991,4.97,4.9700000000000001E-2,75,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Latin America and the Caribbean"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Latin America"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$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}]
[608,"Philippines",null,113,"Rice",1999,1.49,1.49E-2,176000,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[616,"Poland",null,1510,"Potatoes",2000,13.99,0.1399,3390000,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Eastern Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Potatoes"},{"$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}]
[624,"Guinea-Bissau",null,114,"Sorghum",2014,4.55,4.55,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[624,"Guinea-Bissau",null,1193,"Fonio",2011,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[624,"Guinea-Bissau",null,113,"Rice",2007,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[642,"Romania",null,1510,"Potatoes",2015,6.74,6.7400000000000002E-2,182082,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Eastern Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Potatoes"},{"$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}]
[643,"Russian Federation",null,231,"Hen eggs in shell, fresh",2000,0.1,1E-3,1904,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Eastern Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Eggs"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Animal Protein"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":0},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[646,"Rwanda",null,112,"Maize (corn)",2018,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[646,"Rwanda",null,113,"Rice",2010,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[646,"Rwanda",null,112,"Maize (corn)",2008,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[662,"Saint Lucia",null,1316,"Mangoes, guavas and mangosteens",2015,2,0.02,null,"Retailing","Retail",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(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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Retail"}]
[662,"Saint Lucia",null,1520.01,"Cassava, fresh",2013,30,30,null,null,null,null,null,null,"Expert Opinion",null,"http://www.forumdofuturo.com.br/site/wp-content/uploads/2015/08/IICA.-2013.-Post-Harvest-Losses-in-Latin-America-and-the-Caribbean.pdf","url not found",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Latin America and the Caribbean"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Latin America"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Cassava"},{"$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":""}]
[686,"Senegal",null,113,"Rice",2017,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[686,"Senegal",null,114,"Sorghum",2011,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[686,"Senegal",null,1193,"Fonio",2009,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[686,"Senegal",null,114,"Sorghum",2006,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[686,"Senegal",null,118,"Millet",2000,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[694,"Sierra Leone",null,112,"Maize (corn)",2020,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[694,"Sierra Leone",null,112,"Maize (corn)",2014,2.29,2.29,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[694,"Sierra Leone",null,113,"Rice",2000,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[706,"Somalia",null,113,"Rice",2018,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[706,"Somalia",null,114,"Sorghum",2012,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[706,"Somalia",null,114,"Sorghum",2002,0.79,0.79,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[710,"South Africa",null,112,"Maize (corn)",2018,4.17,4.17,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[710,"South Africa",null,114,"Sorghum",2006,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[710,"South Africa",null,114,"Sorghum",2001,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[716,"Zimbabwe",null,112,"Maize (corn)",2017,1.4,1.4,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[716,"Zimbabwe",null,118,"Millet",2007,1.05,1.05,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[716,"Zimbabwe",null,114,"Sorghum",2002,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[72,"Botswana",null,118,"Millet",2019,2.16,2.16,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[72,"Botswana",null,112,"Maize (corn)",2007,2.36,2.36,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[72,"Botswana",null,118,"Millet",2003,2.4500000000000002,2.4500000000000002,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[728,"South Sudan",null,112,"Maize (corn)",2011,2.2999999999999998,2.2999999999999998,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[729,"Sudan",null,118,"Millet",2018,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Millet"},{"$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"}]
[729,"Sudan",null,114,"Sorghum",2012,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[729,"Sudan",null,114,"Sorghum",2005,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[748,"Eswatini",null,112,"Maize (corn)",2000,6.42,6.42,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[752,"Sweden",null,116,"Rye",1991,6.06,6.0600000000000001E-2,10000,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rye"},{"$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}]
[764,"Thailand",null,1214,"Lettuce and chicory",1999,27.7,"19.5-35.9",null,"Collection","Trader","Cos Lettuce","Pests and Disorders",null,"Literature Review","Boonyakiat, 1999","http://ucanr.edu/datastoreFiles/234-1847.pdf",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Asia"},{"$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":"Lettuce"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Vegetables"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[768,"Togo",null,1193,"Fonio",2018,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,1701,"Beans, dry",2014,8,0.08,13403,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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":"Beans"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Pulses & Grains"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Oilseeds and pulses"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[768,"Togo",null,1193,"Fonio",2006,3.5,3.5,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,113,"Rice",2002,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[800,"Uganda",null,112,"Maize (corn)",2020,2.88,2.88,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,118,"Millet",2016,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[800,"Uganda",null,112,"Maize (corn)",2013,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[800,"Uganda",null,113,"Rice",2011,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[800,"Uganda",null,111,"Wheat",2005,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[800,"Uganda",null,113,"Rice",2003,0.1,0.1,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[800,"Uganda",null,115,"Barley",2001,3.5,3.5,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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":0}]
[807,"The former Yugoslav Republic of Macedonia",null,1445,"Sunflower seed",1991,20,0.2,7337,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Southern Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Sunflower seeds"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Nuts/Seeds"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[818,"Egypt",null,1450,"Olives",2014,1.48,1.4800000000000001E-2,8400,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":0},{"$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}]
[826,"United Kingdom",null,115,"Barley",2000,0.68,6.7999999999999996E-3,44000,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Europe"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern Europe"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Europe (incl. Russia)"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[834,"United Republic of Tanzania",null,113,"Rice",2019,0.95,0.95,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[834,"United Republic of Tanzania",null,111,"Wheat",2012,4.43,4.43,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[834,"United Republic of Tanzania",null,112,"Maize (corn)",2008,1.32,1.32,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[834,"United Republic of Tanzania",null,118,"Millet",2005,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[834,"United Republic of Tanzania",null,112,"Maize (corn)",2001,2.37,2.37,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[840,"United States of America",null,1229,"Cantaloupes and other melons",2017,8,8,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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,1322,"Lemons and limes",2016,4,4,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North America and Oceania"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Lemons"},{"$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,1510,"Potatoes",2014,6.05,6.0499999999999998E-2,1213904,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":"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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,1213,"Cauliflowers and broccoli",2011,8,8,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$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,1290.01,"Green corn (maize)",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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,1318,"Pineapples",2008,32,0.32,null,"Consumption, Retailing","Households",null,null,null,"Modelled Estimates","(2011), the value of retail- and consumer-level fruit and vegetable losses in the united states",null," Reference has been generated automatically",{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North America and Oceania"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Pineapples"},{"$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}]
[840,"United States of America",null,1232,"Cucumbers and gherkins",2007,8,8,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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,1215,"Spinach",2006,14.4,14.4,null,null,"Retail",null,null,null,"Modelled Estimates","Esenyan, Ani. 2014. Want All, Waste All: Exploring Food Waste in the United States. 2014 Student Theses. Fordham University.",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$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":"Retail"}]
[840,"United States of America",null,1216,"Artichokes",2004,7,7,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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,1311,"Avocados",2003,6,6,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North America and Oceania"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Avocadoes"},{"$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,1353.01,"Raspberries",2002,8,8,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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,1212,"Cabbages",1998,12,12,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$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,1239.01,"Okra",1997,12,12,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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,1341,"Apples",1996,4,4,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"North America and Oceania"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Apples"},{"$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,1376,"Walnuts, in shell",1992,0.51,5.1000000000000004E-3,940,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,1239.01,"Okra",1991,12,12,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$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,1352,"Kiwi fruit",1990,9,9,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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,1342.01,"Pears",1986,5,5,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$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,1211,"Asparagus",1984,9,9,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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,1253.01,"Onions and shallots, green",1980,6,6,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$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,1215,"Spinach",1978,12,12,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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,1346,"Plums and sloes",1977,5,5,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$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,1229,"Cantaloupes and other melons",1972,8,8,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(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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[840,"United States of America",null,21435.01,"Apple juice",1971,26.666699999999999,26.666699999999999,null,null,"Whole supply chain",null,null,null,"National Accounts",null,"https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Northern America"},{"$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,1193,"Fonio",2020,0.06,0.06,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[854,"Burkina Faso",null,113,"Rice",2013,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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":"Transport"}]
[854,"Burkina Faso",null,118,"Millet",2011,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[854,"Burkina Faso",null,112,"Maize (corn)",2008,4,4,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,114,"Sorghum",2002,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[862,"Venezuela (Bolivarian Republic of)",null,113,"Rice",2011,2.77,2.7699999999999999E-2,22633,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Latin America and the Caribbean"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Latin America"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Rice"},{"$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}]
[862,"Venezuela (Bolivarian Republic of)",null,23110,"Wheat and meslin flour",2010,1.03,1.03E-2,11189,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":"Wheat flour"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[862,"Venezuela (Bolivarian Republic of)",null,2211,"Raw milk of cattle",2001,1.24,1.24E-2,17391,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Latin America and the Caribbean"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Latin America"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Milk (cattle)"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":"Animal Protein"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":"Milk"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[862,"Venezuela (Bolivarian Republic of)",null,23110,"Wheat and meslin flour",1999,1,0.01,8588,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":"Wheat flour"},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity], 0)),\"\")","v":""},{"$f":"IFERROR(INDEX(IFC_Commodity_CommodityGroup[FAO commodity group], MATCH(FAOdata[[#This Row],[IFC Commodity]],IFC_Commodity_CommodityGroup[IFC Commodity],0)),\"\")","v":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[862,"Venezuela (Bolivarian Republic of)",null,1323,"Oranges",1993,10.8,0.108,44348,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$f":"IFERROR(INDEX(UNcountrycodes[Sub-region Name], MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Latin America and the Caribbean"},{"$f":"IFERROR(INDEX(RegionClassification[FAO region],MATCH(FAOdata[[#This Row],[UN sub-region]],RegionClassification[UN region],0)),\"\")","v":"Latin America"},{"$f":"INDEX(FAO_IFC_Commodity[IFC commodity], MATCH(FAOdata[[#This Row],[commodity]],FAO_IFC_Commodity[FAO commodity],0))","v":"Oranges"},{"$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}]
[862,"Venezuela (Bolivarian Republic of)",null,142,"Groundnuts, excluding shelled",1991,4.5199999999999996,4.5199999999999997E-2,216,null,"Whole supply chain",null,null,null,"FAO's annual Agriculture Production Questionnaires","FAO Sources",null,null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Americas"},{"$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":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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[894,"Zambia",null,115,"Barley",2019,0.8,0.8,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,115,"Barley",2013,2,2,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[894,"Zambia",null,111,"Wheat",2010,5.75,5.75,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,114,"Sorghum",2008,3.73,3.73,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,115,"Barley",2002,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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":"Transport"}]
[894,"Zambia",null,113,"Rice",2001,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,113,"Rice",2001,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,114,"Sorghum",2001,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,114,"Sorghum",2001,2.2200000000000002,2.2200000000000002,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,114,"Sorghum",2001,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,114,"Sorghum",2001,3.8,3.8,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,114,"Sorghum",2001,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[894,"Zambia",null,114,"Sorghum",2001,4.37,4.37,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[894,"Zambia",null,115,"Barley",2001,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[894,"Zambia",null,115,"Barley",2001,1.3,1.3,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,115,"Barley",2001,2,2,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[894,"Zambia",null,118,"Millet",2001,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,118,"Millet",2001,1.28,1.28,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,118,"Millet",2001,2.42,2.42,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,118,"Millet",2001,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,118,"Millet",2001,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,118,"Millet",2001,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,118,"Millet",2001,3.44,3.44,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[894,"Zambia",null,111,"Wheat",2000,2,2,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[894,"Zambia",null,111,"Wheat",2000,1.3,1.3,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,111,"Wheat",2000,5.75,5.75,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,111,"Wheat",2000,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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":"Transport"}]
[894,"Zambia",null,112,"Maize (corn)",2000,3.9,3.9,null,"Drying","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,112,"Maize (corn)",2000,2.31,2.31,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2000,4.49,4.49,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,112,"Maize (corn)",2000,1.26,1.26,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,112,"Maize (corn)",2000,5.91,5.91,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[894,"Zambia",null,112,"Maize (corn)",2000,1.51,1.51,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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,112,"Maize (corn)",2000,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[894,"Zambia",null,113,"Rice",2000,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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":"Transport"}]
[894,"Zambia",null,113,"Rice",2000,1.25,1.25,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,113,"Rice",2000,3.14,3.14,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,113,"Rice",2000,4.4000000000000004,4.4000000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[894,"Zambia",null,113,"Rice",2000,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,113,"Rice",2000,0.83,0.83,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,113,"Rice",2000,2.65,2.65,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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":"Storage"}]
[894,"Zambia",null,114,"Sorghum",2000,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[894,"Zambia",null,114,"Sorghum",2000,4.4400000000000004,4.4400000000000004,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[894,"Zambia",null,114,"Sorghum",2000,3.6,3.6,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,114,"Sorghum",2000,2.17,2.17,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,114,"Sorghum",2000,3.73,3.73,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,114,"Sorghum",2000,2.31,2.31,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,115,"Barley",2000,1.3,1.3,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[894,"Zambia",null,115,"Barley",2000,2,2,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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":0}]
[894,"Zambia",null,115,"Barley",2000,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Transport"}]
[894,"Zambia",null,118,"Millet",2000,2.5,2.5,null,"Transportation","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,118,"Millet",2000,2,2,null,"Shelling, Threshing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,118,"Millet",2000,1.27,1.27,null,"Storage","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,118,"Millet",2000,2.5,2.5,null,"Winnowing","Farm",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Production"}]
[894,"Zambia",null,118,"Millet",2000,1,1,null,"Transportation","Transport",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,118,"Millet",2000,2.38,2.38,null,"Storage","Storage",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[894,"Zambia",null,118,"Millet",2000,3.44,3.44,null,"Drying, Harvesting","Harvest",null,null,null,"Modelled Estimates",null,"https://www.aphlis.net/en/page/20/data-tables#/datatables?tab=value_chain&metric=prc",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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}]
[894,"Zambia",null,114,"Sorghum",1977,5,"0-10","46 000 MT",null,"Storage",null,"Local Varieties, Negligible; High-Yielding Varieties",null,null,"TPI 1977","https://books.google.it/books?id=vUwrAAAAYAAJ&printsec=frontcover#v=onepage&q&f=false",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[894,"Zambia",null,112,"Maize (corn)",1977,15,"9.0-21",null,null,"Storage",null,null,null,"Literature Review","(Adams and Harman, 1977)","https://www.nap.edu/catalog/20028/postharvest-food-losses-in-developing-countries",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,114,"Sorghum",1977,5,"0-10",null,null,"Whole supply chain",null,null,null,"Literature Review","(fPI, 1977)","https://www.nap.edu/catalog/20028/postharvest-food-losses-in-developing-countries",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":0}]
[894,"Zambia",null,118,"Millet",1977,10,10,null,null,"Storage",null,"On-Farm Storage",null,"Literature Review","FAO 1977b","https://www.nap.edu/catalog/20028/postharvest-food-losses-in-developing-countries",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia",null,1706,"Cow peas, dry",1977,40,40,null,null,"Storage",null,null,null,"Literature Review","TPI 1977","https://www.nap.edu/catalog/20028/postharvest-food-losses-in-developing-countries",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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":""},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[894,"Zambia","Chivuna,  Chalimbana,",112,"Maize (corn)",1977,4.05,"1.7-6.4",null,null,"Storage",null,"Insects And Rodents","Thus a recognised sampling technique was not used to select farmers from whom the grain samples required to carry out the methodolngy assessment were drawn; nor were sampling techniques, which have been well documented elsewhere, examined. Rather the farmers were selected for their accessibility and responsiveness, provided that the extension staff of the Ministry of Rural Development considered them to be fairly typical small scale farmers.","Case Study","Adams & Harman","http://gala.gre.ac.uk/10767/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia","Chivuna,  Chalimbana,",112,"Maize (corn)",1977,3,3,null,null,"Storage",null,"Insects And Rodents",20,"Case Study","Adams & Harman","http://gala.gre.ac.uk/10767/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[894,"Zambia","Chivuna,  Chalimbana,",112,"Maize (corn)",1977,3.5,"2.0-5",null,null,"Storage",null,"Those farmers storing greater quantities of maize for longer periods suffered the highest percentage losses. Due to a poor harvest only one of the selected farmers in Chalimbana was able to store shelled grain throughout the storage season. He stored a hybrid variety and suffered a loss of approximately 6%.",20,"Case Study","Adams & Harman","http://gala.gre.ac.uk/10767/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]
[894,"Zambia","Chivuna,  Chalimbana,",112,"Maize (corn)",1977,13,13,null,null,"Storage",null,"Insects",20,"Case Study","Adams & Harman","http://gala.gre.ac.uk/10767/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"Africa"},{"$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"},{"$f":"IFERROR(INDEX(FTS[[#All],[IFC Supply Chain Stage]],MATCH(FAOdata[[#This Row],[food_supply_stage]],FTS[[#All],[fsc_location1]],0)),\"\")","v":"Storage"}]
[894,"Zambia","Chivuna,  Chalimbana,",112,"Maize (corn)",1977,9,9,null,null,"Storage",null,"Insects",20,"Case Study","Adams & Harman","http://gala.gre.ac.uk/10767/",null,{"$f":"IFERROR(INDEX(UNcountrycodes[Region Name],MATCH(FAOdata[[#This Row],[m49_code]],UNcountrycodes[M49 Code],0)),\"\")","v":"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"}]

{"sheet":"Nat_Avg","index":9,"n_rows":1564,"n_cols":25,"rows_kept":562,"cut":true,"hidden":true,"merged":[[2,1,2,2]],"bounds":{"rows_first":250,"rows_last":62,"rows_between":250,"halvings":3}}
[]
[null,"National / regional estimates (FAO)"]
[null,"This section contains the pivot tables which calculate the national and regional averages based on the values provided in the FAO Fodd Loss Database"]
[]
[null,"LEVEL 1 \nAverage food loss rate \nCommodity & Country level",null,{"$f":"GETPIVOTDATA(\"loss_percentage\",$B$9,\"country\",\"Angola\",\"IFC Commodity\",\"Maize\",\"IFC Supply Chain Stage\",\"Production\")","v":3.0772727272727263},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,"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,"UN sub-region","IFC Commodity","IFC Supply Chain Stage","Average of loss_percentage",null,"UN sub-region","IFC Category","IFC Supply Chain Stage","Average of loss_percentage",null,"FAO Wider Region","FAO Commodity group","IFC Supply Chain stage","Average of Waste (%)"]
[null,"Afghanistan","Barley",0,14.7475,null,"Afghanistan","Pulses & Grains",0,13.327500000000001,null,"","Eggs",0,4.666666666666667,null,"Australia and New Zealand","Fruits","Production",28.833333333333332,null,"Europe (incl. Russia)","Cereals",null,7.5999999999999998E-2]
[null,"Afghanistan","Maize",0,14.942499999999999,null,"Angola","Pulses & Grains",0,4.4841818181818205,null,null,"Eggs","Processing",0.5,null,"Australia and New Zealand","Fruits","Retail",3.9000000000000004,null,"Europe (incl. Russia)","Cereals","Production",0.02]
[null,"Afghanistan","Rice",0,6.9675000000000002,null,"Angola","Pulses & Grains","Storage",1.569999999999999,null,null,"Maize",0,13.883333333333333,null,"Australia and New Zealand","Pulses & Grains",0,25,null,"Europe (incl. Russia)","Cereals","Storage",2.8397335848635671E-2]
[null,"Afghanistan","Wheat",0,14.989999999999998,null,"Angola","Pulses & Grains","Transport",1,null,null,"Maize","Storage",4.5,null,"Australia and New Zealand","Tubers/Root Crops",0,31,null,"Europe (incl. Russia)","Cereals","Transport",1.1602664151364324E-2]
[null,"Angola","Maize",0,5.8000000000000007,null,"Angola","Pulses & Grains","Production",2.6593939393939401,null,null,"Meat (Cattle)",0,4.7249999999999996,null,"Australia and New Zealand","Tubers/Root Crops","Production",5.5,null,"Europe (incl. Russia)","Cereals","(blank)",0.14499999999999999]
[null,"Angola","Maize","Transport",1,null,"Argentina","Animal Protein",0,0.80000000000000016,null,null,"Meat (Cattle)","Processing",5,null,"Australia and New Zealand","Tubers/Root Crops","Processing",3,null,"Europe (incl. Russia)","Cereals","Processing",0.05]
[null,"Angola","Maize","Storage",2.6499999999999995,null,"Armenia","",0,10.023636363636363,null,null,"Milk (cattle)",0,2.875,null,"Australia and New Zealand","Vegetables ",0,24.4,null,"Europe (incl. Russia)","Cereals","Retail",0.02]
[null,"Angola","Maize","Production",3.0772727272727263,null,"Armenia","Animal Protein",0,2.0249999999999999,null,null,"Milk (cattle)","Processing",1.2,null,"Australia and New Zealand","Vegetables ","Production",6,null,"Europe (incl. Russia)","Fish and seafood",null,7.1800000000000003E-2]
[null,"Angola","Rice",0,4.3999999999999995,null,"Armenia","Fruits",0,5.6675000000000004,null,null,"Rice","Storage",3.5,null,"Australia and New Zealand","Vegetables ","Processing",11.666666666666666,null,"Europe (incl. Russia)","Fish and seafood","Production",9.4E-2]
[null,"Angola","Rice","Transport",1,null,"Armenia","Fruits","Production",3.5,null,null,"Rice","Production",1.5,null,"Central Asia","Animal Protein",0,3.8140000000000009,null,"Europe (incl. Russia)","Fish and seafood","Storage",{"$error":"#VALUE!"}]
[null,"Angola","Rice","Storage",1.3000000000000003,null,"Armenia","Fruits","Processing",4.5,null,null,"Rice","Processing",3.75,null,"Central Asia","Fruits",0,0.98399999999999999,null,"Europe (incl. Russia)","Fish and seafood","Transport",{"$error":"#VALUE!"}]
[null,"Angola","Rice","Production",1.8311363636363638,null,"Armenia","Pulses & Grains",0,7.2651724137931044,null,null,"Sorghum","Storage",3,null,"Central Asia","Nuts/Seeds",0,2.7085714285714291,null,"Europe (incl. Russia)","Fish and seafood","(blank)",5.7500000000000002E-2]
[null,"Angola","Sorghum",0,4.4836363636363634,null,"Armenia","Pulses & Grains","Production",8.3333333333333339,null,null,"Wheat","Storage",4,null,"Central Asia","Pulses & Grains",0,2.3480000000000003,null,"Europe (incl. Russia)","Fish and seafood","Processing",0.06]
[null,"Angola","Sorghum","Transport",1,null,"Armenia","Pulses & Grains","Processing",6,null,null,0,0,16.526315789473685,null,"Central Asia","Tubers/Root Crops",0,9.0781818181818164,null,"Europe (incl. Russia)","Fish and seafood","Retail",0.09]
[null,"Angola","Sorghum","Storage",1.3000000000000003,null,"Armenia","Tubers/Root Crops",0,13.919333333333331,null,null,0,"Production",11.375,null,"Central Asia","Tubers/Root Crops","Production",20,null,"Europe (incl. Russia)","Fruits and vegetables",null,0.11200000000000002]
[null,"Angola","Sorghum","Production",3.1539393939393938,null,"Armenia","Tubers/Root Crops","Production",12.5,null,null,0,"Processing",20.625,null,"Central Asia","Tubers/Root Crops","Processing",4,null,"Europe (incl. Russia)","Fruits and vegetables","Production",0.2]
[null,"Angola","Wheat",0,4.3299999999999992,null,"Austria","",0,4.0215254237288134,null,null,"Millet","Storage",1,null,"Eastern Asia","Animal Protein",0,4.2459999999999996,null,"Europe (incl. Russia)","Fruits and vegetables","Storage",8.574229218829164E-3]
[null,"Angola","Wheat","Transport",1,null,"Austria","Animal Protein",0,1.0028571428571429,null,"Eastern Europe","Apples",0,13.3,null,"Eastern Asia","Animal Protein","Storage",3.1,null,"Europe (incl. Russia)","Fruits and vegetables","Transport",4.1425770781170844E-2]
[null,"Angola","Wheat","Storage",1.3000000000000003,null,"Austria","Fruits",0,7.0024999999999995,null,"Eastern Europe","Apples","Production",10.625,null,"Eastern Asia","Animal Protein","Production",5.35,null,"Europe (incl. Russia)","Fruits and vegetables","(blank)",0.12]
[null,"Angola","Wheat","Production",3.9166666666666665,null,"Austria","Nuts/Seeds",0,4.1289999999999996,null,"Eastern Europe","Apples","Processing",8.375,null,"Eastern Asia","Animal Protein","Processing",1.1000000000000001,null,"Europe (incl. Russia)","Fruits and vegetables","Processing",0.02]
[null,"Angola","Millet",0,3.4072727272727277,null,"Austria","Pulses & Grains",0,3.0181481481481485,null,"Eastern Europe","Barley",0,1.6087500000000001,null,"Eastern Asia","Pulses & Grains",0,5.9561111111111122,null,"Europe (incl. Russia)","Fruits and vegetables","Retail",0.1]
[null,"Angola","Millet","Transport",1,null,"Austria","Tubers/Root Crops",0,10.055555555555555,null,"Eastern Europe","Eggs",0,0.26750000000000002,null,"Eastern Asia","Pulses & Grains","Storage",9.8769230769230774,null,"Europe (incl. Russia)","Meat",null,4.7599999999999996E-2]
[null,"Angola","Millet","Storage",1.3000000000000003,null,"Azerbaijan","",0,8.8325000000000014,null,"Eastern Europe","Maize",0,2.1465000000000001,null,"Eastern Asia","Pulses & Grains","Transport",13.75,null,"Europe (incl. Russia)","Meat","Production",3.1E-2]
[null,"Angola","Millet","Production",1.7559090909090906,null,"Azerbaijan","Pulses & Grains",0,6.1497368421052609,null,"Eastern Europe","Milk (cattle)",0,1.131111111111111,null,"Eastern Asia","Pulses & Grains","Production",12.454545454545455,null,"Europe (incl. Russia)","Meat","Storage",2.2957746478873241E-3]
[null,"Argentina","Milk (cattle)",0,0.80000000000000016,null,"Azerbaijan","Tubers/Root Crops",0,4.0388888888888879,null,"Eastern Europe","Milk (cattle)","Processing",9,null,"Eastern Asia","Pulses & Grains","Processing",14.25,null,"Europe (incl. Russia)","Meat","Transport",4.7042253521126761E-3]
[null,"Armenia","Apples",0,7.791666666666667,null,"Bangladesh","",0,12.450882352941177,null,"Eastern Europe","Potatoes",0,8.2818750000000012,null,"Eastern Asia","Tubers/Root Crops",0,3.669090909090909,null,"Europe (incl. Russia)","Meat","(blank)",5.8500000000000003E-2]
[null,"Armenia","Apples","Production",4.5,null,"Bangladesh",null,"Production",6.9521428571428592,null,"Eastern Europe","Potatoes","Production",15.5,null,"Eastern Asia","Tubers/Root Crops","Storage",20,null,"Europe (incl. Russia)","Meat","Processing",0.05]
[null,"Armenia","Apples","Processing",6,null,"Bangladesh",null,"Retail",7.5092307692307694,null,"Eastern Europe","Potatoes","Processing",4.5,null,"Eastern Europe","Animal Protein",0,0.7247058823529412,null,"Europe (incl. Russia)","Meat","Retail",0.04]
[null,"Armenia","Barley",0,8.7037499999999994,null,"Bangladesh","Fruits",0,11.047222222222226,null,"Eastern Europe","Rice",0,3.448666666666667,null,"Eastern Europe","Animal Protein","Processing",9,null,"Europe (incl. Russia)","Milk",null,2.5399999999999999E-2]
[null,"Armenia","Carrots",0,15.977500000000001,null,"Bangladesh","Fruits","Transport",15,null,"Eastern Europe","Sorghum",0,2.0585714285714283,null,"Eastern Europe","Fruits",0,13.3,null,"Europe (incl. Russia)","Milk","Production",3.5000000000000003E-2]
[null,"Armenia","Eggs",0,2.6425000000000001,null,"Bangladesh","Fruits","Production",9.3137500000000024,null,"Eastern Europe","Soybeans",0,0.42555555555555558,null,"Eastern Europe","Fruits","Production",10.625,null,"Europe (incl. Russia)","Milk","Storage",1.6398390342052312E-3]
[null,"Armenia","Grapes",0,4.5650000000000004,null,"Bangladesh","Fruits","Processing",1.35,null,"Eastern Europe","Sunflower seeds",0,0.7,null,"Eastern Europe","Fruits","Processing",8.375,null,"Europe (incl. Russia)","Milk","Transport",3.3601609657947684E-3]
[null,"Armenia","Maize",0,7.7999999999999989,null,"Bangladesh","Fruits","Retail",6.7293333333333338,null,"Eastern Europe","Wheat",0,2.37,null,"Eastern Europe","Nuts/Seeds",0,0.58749999999999991,null,"Europe (incl. Russia)","Milk","(blank)",3.7500000000000006E-2]
[null,"Armenia","Meat (Cattle)",0,1.6074999999999999,null,"Bangladesh","Pulses & Grains",0,18.761666666666667,null,"Eastern Europe","Wheat","Production",9.28125,null,"Eastern Europe","Pulses & Grains",0,2.2506802721088444,null,"Europe (incl. Russia)","Milk","Processing",1.2E-2]
[null,"Armenia","Meat (Chicken)",0,1.825,null,"Bangladesh","Pulses & Grains","Storage",10.595454545454546,null,"Eastern Europe","Wheat","Processing",7.5,null,"Eastern Europe","Pulses & Grains","Production",9.28125,null,"Europe (incl. Russia)","Milk","Retail",5.0000000000000001E-3]
[null,"Armenia","Potatoes",0,13.17090909090909,null,"Bangladesh","Pulses & Grains","Transport",8.6050000000000004,null,"Eastern Europe",0,0,2.5369444444444444,null,"Eastern Europe","Pulses & Grains","Processing",7.5,null,"Europe (incl. Russia)","Oilseeds and pulses",null,4.2000000000000003E-2]
[null,"Armenia","Potatoes","Production",12.5,null,"Bangladesh","Pulses & Grains","Production",10.191399999999998,null,"Eastern Europe",0,"Production",16.7,null,"Eastern Europe","Tubers/Root Crops",0,8.2818749999999994,null,"Europe (incl. Russia)","Oilseeds and pulses","Production",0.1]
[null,"Armenia","Tomatoes",0,1.5,null,"Bangladesh","Pulses & Grains","Processing",1.2341249999999999,null,"Eastern Europe",0,"Processing",6,null,"Eastern Europe","Tubers/Root Crops","Production",15.5,null,"Europe (incl. Russia)","Oilseeds and pulses","Storage",7.0993339621589178E-3]
[null,"Armenia","Tomatoes","Production",2.5,null,"Bangladesh","Pulses & Grains","Retail",0.28750000000000003,null,"Eastern Europe","Beans",0,2.0949999999999998,null,"Eastern Europe","Tubers/Root Crops","Processing",4.5,null,"Europe (incl. Russia)","Oilseeds and pulses","Transport",2.9006660378410811E-3]
[null,"Armenia","Tomatoes","Processing",3,null,"Belgium","Animal Protein",0,3.33,null,"Eastern Europe","Rye",0,2.1023529411764708,null,"Latin America and the Caribbean","Animal Protein",0,11.487272727272726,null,"Europe (incl. Russia)","Oilseeds and pulses","(blank)",2.5000000000000001E-2]
[null,"Armenia","Wheat",0,8.1433333333333344,null,"Benin","",0,6.854166666666667,null,"Eastern Europe","Oats",0,3.2015000000000002,null,"Latin America and the Caribbean","Fruits",0,15.981395348837207,null,"Europe (incl. Russia)","Oilseeds and pulses","Processing",0.05]
[null,"Armenia","Wheat","Production",8.3333333333333339,null,"Benin",null,"Production",2.1999999999999997,null,"Eastern Europe","Millet",0,2.7628571428571433,null,"Latin America and the Caribbean","Fruits","Production",36.666666666666664,null,"Europe (incl. Russia)","Oilseeds and pulses","Retail",0.01]
[null,"Armenia","Wheat","Processing",6,null,"Benin",null,"Retail",28,null,"Eastern Europe","Rapeseeds",0,0.25,null,"Latin America and the Caribbean","Fruits",null,25.85,null,"Europe (incl. Russia)","Roots and tubers",null,0.13600000000000001]
[null,"Armenia",0,0,10.850000000000003,null,"Benin","Fruits",0,32.36,null,"Eastern Europe","Buckwheat",0,0.69571428571428573,null,"Latin America and the Caribbean","Fruits","Processing",9.5250000000000004,null,"Europe (incl. Russia)","Roots and tubers","Production",0.2]
[null,"Armenia","Meat (Pigs)",0,1.7600000000000002,null,"Benin","Fruits","Production",29.666666666666668,null,"Eastern Europe","Peas (dry)",0,2.67,null,"Latin America and the Caribbean","Fruits","Retail",6.3,null,"Europe (incl. Russia)","Roots and tubers","Storage",7.0693709630970505E-2]
[null,"Armenia","Oats",0,1.3425,null,"Benin","Fruits","Retail",32.412500000000001,null,"South-eastern Asia","Cassava",0,1.8639999999999997,null,"Latin America and the Caribbean","Nuts/Seeds",0,3.33,null,"Europe (incl. Russia)","Roots and tubers","Transport",1.9306290369029498E-2]
[null,"Austria","Apples",0,7.0024999999999995,null,"Benin","Pulses & Grains",0,6.4277272727272727,null,"South-eastern Asia","Cassava","Transport",1.0049999999999999,null,"Latin America and the Caribbean","Nuts/Seeds",null,30,null,"Europe (incl. Russia)","Roots and tubers","(blank)",0.13]
[null,"Austria","Barley",0,3.3655555555555559,null,"Benin","Pulses & Grains","Storage",2.7214285714285729,null,"South-eastern Asia","Cassava","Processing",0.505,null,"Latin America and the Caribbean","Pulses & Grains",0,4.8867361111111123,null,"Europe (incl. Russia)","Roots and tubers","Processing",0.15]
[null,"Austria","Maize",0,3.1755555555555559,null,"Benin","Pulses & Grains","Transport",1.2166666666666663,null,"South-eastern Asia","Cassava","Retail",1,null,"Latin America and the Caribbean","Pulses & Grains","Storage",14.785714285714286,null,"Europe (incl. Russia)","Roots and tubers","Retail",7.0000000000000007E-2]
[null,"Austria","Milk (cattle)",0,1.0028571428571429,null,"Benin","Pulses & Grains","Production",2.627222222222223,null,"South-eastern Asia","Maize",0,6.8855555555555554,null,"Latin America and the Caribbean","Pulses & Grains","Production",9.2327272727272742,null,"Industrialized Asia","Cereals",null,7.7999999999999986E-2]
[null,"Austria","Potatoes",0,10.055555555555555,null,"Benin","Tubers/Root Crops",0,13.6,null,"South-eastern Asia","Maize","Storage",2.5,null,"Latin America and the Caribbean","Pulses & Grains",null,15.88,null,"Industrialized Asia","Cereals","Production",0.02]
[null,"Austria","Soybeans",0,2.9940000000000002,null,"Benin","Tubers/Root Crops","Storage",45,null,"South-eastern Asia","Maize","Production",2.8616666666666668,null,"Latin America and the Caribbean","Pulses & Grains","Processing",5.0183333333333335,null,"Industrialized Asia","Cereals","Storage",7.0993339621589185E-2]
[null,"Austria","Sunflower seeds",0,2.794,null,"Benin","Tubers/Root Crops","Production",8.5,null,"South-eastern Asia","Milk (cattle)",0,5.626666666666666,null,"Latin America and the Caribbean","Tubers/Root Crops",0,11.556108695652174,null,"Industrialized Asia","Cereals","Transport",2.900666037841081E-2]
[null,"Austria","Wheat",0,2.3000000000000003,null,"Benin","Tubers/Root Crops","Processing",23.2,null,"South-eastern Asia","Rice",0,3.5,null,"Latin America and the Caribbean","Tubers/Root Crops","Storage",5.7,null,"Industrialized Asia","Cereals","(blank)",0.15000000000000002]
[null,"Austria",0,0,4.0215254237288134,null,"Benin","Vegetables ",0,12.1,null,"South-eastern Asia","Rice","Storage",13.277777777777779,null,"Latin America and the Caribbean","Tubers/Root Crops","Production",12.4825,null,"Industrialized Asia","Cereals","Processing",0.05]
[null,"Austria","Rye",0,2.7311111111111108,null,"Benin","Vegetables ","Production",10.45,null,"South-eastern Asia","Rice","Transport",1,null,"Latin America and the Caribbean","Tubers/Root Crops",null,30,null,"Industrialized Asia","Cereals","Retail",0.02]
[null,"Austria","Oats",0,3.5399999999999996,null,"Benin","Vegetables ","Retail",9.5,null,"South-eastern Asia","Rice","Production",6.5750000000000002,null,"Latin America and the Caribbean","Tubers/Root Crops","Processing",3.4233333333333333,null,"Industrialized Asia","Fish and seafood",null,8.3999999999999991E-2]
[null,"Austria","Rapeseeds",0,5.4640000000000004,null,"Bolivia (Plurinational State of)","Nuts/Seeds",0,2.7733333333333334,null,"South-eastern Asia","Rice","Processing",6.833333333333333,null,"Latin America and the Caribbean","Vegetables ",0,19.067142857142859,null,"Industrialized Asia","Fish and seafood","Production",0.15]
[null,"Austria","Peas (dry)",0,3,null,"Bolivia (Plurinational State of)","Pulses & Grains",0,1.0790000000000002,null,"South-eastern Asia","Soybeans",0,5.4733333333333336,null,"Latin America and the Caribbean","Vegetables ",null,45.5,null,"Industrialized Asia","Fish and seafood","Storage",{"$error":"#VALUE!"}]
[null,"Azerbaijan","Barley",0,3.6219999999999999,null,"Bolivia (Plurinational State of)","Pulses & Grains","Storage",7,null,"South-eastern Asia","Sweet Potatoes",0,10.356666666666667,null,"Melanesia","Fruits",0,8.5625,null,"Industrialized Asia","Fish and seafood","Transport",{"$error":"#VALUE!"}]
[null,"Azerbaijan","Maize",0,1.4155555555555557,null,"Bolivia (Plurinational State of)","Pulses & Grains","Production",3.5,null,"South-eastern Asia","Tomatoes",0,5.9333333333333336,null,"Melanesia","Fruits","Transport",0.13,null,"Industrialized Asia","Fish and seafood","(blank)",0.05]
[null,"Azerbaijan","Potatoes",0,4.0388888888888879,null,"Bolivia (Plurinational State of)","Tubers/Root Crops",0,5.41,null,"South-eastern Asia","Tomatoes","Production",12.5,null,"Melanesia","Fruits","Production",8.8000000000000007,null,"Industrialized Asia","Fish and seafood","Processing",0.06]
[null,"Azerbaijan","Rice",0,7.3644444444444446,null,"Botswana","Pulses & Grains",0,5.4487878787878783,null,"South-eastern Asia","Tomatoes","Retail",3.5,null,"Melanesia","Pulses & Grains",0,6.1964285714285712,null,"Industrialized Asia","Fish and seafood","Retail",0.11]
[null,"Azerbaijan","Wheat",0,13.532000000000002,null,"Botswana","Pulses & Grains","Storage",2.0772727272727276,null,"South-eastern Asia",0,0,10.58,null,"Melanesia","Tubers/Root Crops",0,2.5945454545454547,null,"Industrialized Asia","Fruits and vegetables",null,8.6000000000000007E-2]
[null,"Azerbaijan",0,0,8.8325000000000014,null,"Botswana","Pulses & Grains","Transport",1.19,null,"South-eastern Asia",0,"Transport",5.8728571428571428,null,"Northern Africa","Fruits",0,35.5,null,"Industrialized Asia","Fruits and vegetables","Production",0.1]
[null,"Azerbaijan","Beans",0,4.556,null,"Botswana","Pulses & Grains","Production",2.3906363636363621,null,"South-eastern Asia",0,"Processing",1.8366666666666667,null,"Northern Africa","Nuts/Seeds",0,7.3310000000000004,null,"Industrialized Asia","Fruits and vegetables","Storage",1.3718766750126661E-2]
[null,"Azerbaijan","Oats",0,9.2240000000000002,null,"Brazil","Pulses & Grains","Storage",15.5,null,"South-eastern Asia",0,"Retail",1.5,null,"Northern Africa","Pulses & Grains",0,5.2752941176470598,null,"Industrialized Asia","Fruits and vegetables","Transport",6.6281233249873339E-2]
[null,"Bangladesh","Bananas",0,9.3857142857142861,null,"Burkina Faso","",0,4.6454545454545455,null,"South-eastern Asia","Lettuce",0,11.5,null,"Northern Africa","Pulses & Grains","Production",2.6666999999999983,null,"Industrialized Asia","Fruits and vegetables","(blank)",0.11499999999999999]
[null,"Bangladesh","Bananas","Production",7.7,null,"Burkina Faso",null,"Storage",2.5374999999999992,null,"Sub-Saharan Africa","Bananas",0,10.923333333333334,null,"Northern Africa","Tubers/Root Crops",0,16.160000000000004,null,"Industrialized Asia","Fruits and vegetables","Processing",0.02]
[null,"Bangladesh","Bananas","Retail",3.5750000000000002,null,"Burkina Faso",null,"Transport",1,null,"Sub-Saharan Africa","Bananas","Transport",21,null,"Northern America","Animal Protein",0,1.9774999999999998,null,"Industrialized Asia","Fruits and vegetables","Retail",0.08]
[null,"Bangladesh","Maize","Storage",2.5,null,"Burkina Faso",null,"Production",2.2919512195121952,null,"Sub-Saharan Africa","Bananas","Production",23.68,null,"Northern America","Animal Protein","Retail",3.5,null,"Industrialized Asia","Meat",null,4.4999999999999998E-2]
[null,"Bangladesh","Mangoes",0,11,null,"Burkina Faso","Pulses & Grains",0,5.1770454545454552,null,"Sub-Saharan Africa","Bananas","Processing",12,null,"Northern America","Fruits",0,6.726,null,"Industrialized Asia","Meat","Production",2.9000000000000001E-2]
[null,"Bangladesh","Mangoes","Production",4.0333333333333332,null,"Burkina Faso","Pulses & Grains","Storage",2.6333333333333355,null,"Sub-Saharan Africa","Bananas","Retail",8.41,null,"Northern America","Fruits","Retail",13.511111111111111,null,"Industrialized Asia","Meat","Storage",1.9678068410462777E-3]
[null,"Bangladesh","Mangoes","Retail",6.8999999999999995,null,"Burkina Faso","Pulses & Grains","Transport",1.1624999999999999,null,"Sub-Saharan Africa","Barley",0,3.3733333333333335,null,"Northern America","Pulses & Grains",0,7.5000000000000011E-2,null,"Industrialized Asia","Meat","Transport",4.0321931589537225E-3]
[null,"Bangladesh","Oranges",0,7.5285714285714294,null,"Burkina Faso","Pulses & Grains","Production",2.3330303030303017,null,"Sub-Saharan Africa","Barley","Storage",2.1100000000000003,null,"Northern America","Tubers/Root Crops",0,7.105652173913044,null,"Industrialized Asia","Meat","(blank)",4.3000000000000003E-2]
[null,"Bangladesh","Oranges","Production",5.2,null,"Burundi","Pulses & Grains",0,4.660000000000001,null,"Sub-Saharan Africa","Barley","Transport",1,null,"Northern America","Tubers/Root Crops","Retail",44.366666666666667,null,"Industrialized Asia","Meat","Processing",0.05]
[null,"Bangladesh","Oranges","Retail",8.6999999999999993,null,"Burundi","Pulses & Grains","Production",2.6966666666666668,null,"Sub-Saharan Africa","Barley","Production",2.4357758620689651,null,"Northern America","Vegetables ",0,8,null,"Industrialized Asia","Meat","Retail",0.06]
[null,"Bangladesh","Rice",0,15.363461538461539,null,"Cambodia","Fruits",0,3.5,null,"Sub-Saharan Africa","Carrots",0,2.02,null,"Northern America","Vegetables ","Retail",9.5,null,"Industrialized Asia","Milk",null,2.24E-2]
[null,"Bangladesh","Rice","Transport",9.6300000000000008,null,"Cambodia","Fruits","Production",12.5,null,"Sub-Saharan Africa","Cassava",0,10.054545454545455,null,"Northern America","Mycoprotein",0,6,null,"Industrialized Asia","Milk","Production",3.5000000000000003E-2]
[null,"Bangladesh","Rice","Storage",15.394285714285713,null,"Cambodia","Fruits","Retail",3.5,null,"Sub-Saharan Africa","Cassava","Storage",12.032857142857141,null,"Northern America","Mycoprotein","Retail",17.3,null,"Industrialized Asia","Milk","Storage",3.2796780684104625E-3]
[null,"Bangladesh","Rice","Production",8.2581578947368399,null,"Cameroon","",0,35,null,"Sub-Saharan Africa","Cassava","Transport",1.9571428571428571,null,"Northern Europe","Animal Protein",0,4.09,null,"Industrialized Asia","Milk","Transport",6.7203219315895369E-3]
[null,"Bangladesh","Rice","Processing",1.2341249999999999,null,"Cameroon","Pulses & Grains",0,4.7733333333333343,null,"Sub-Saharan Africa","Cassava","Production",7.5863636363636351,null,"Northern Europe","Animal Protein","Processing",6.25,null,"Industrialized Asia","Milk","(blank)",3.0000000000000002E-2]
[null,"Bangladesh","Rice","Retail",0.28750000000000003,null,"Cameroon","Pulses & Grains","Production",2.316439393939393,null,"Sub-Saharan Africa","Cassava","Processing",8.620740740740743,null,"Northern Europe","Fruits",0,8.454545454545455,null,"Industrialized Asia","Milk","Processing",1.2E-2]
[null,"Bangladesh","Tomatoes",0,10.799999999999999,null,"Canada","",0,14.545454545454545,null,"Sub-Saharan Africa","Cassava","Retail",12.25,null,"Northern Europe","Fruits","Storage",3.5,null,"Industrialized Asia","Milk","Retail",5.0000000000000001E-3]
[null,"Bangladesh","Tomatoes","Transport",15,null,"Canada","Animal Protein",0,1.9499999999999997,null,"Sub-Saharan Africa","Cocoa",0,22.5,null,"Northern Europe","Fruits","Production",8.5,null,"Industrialized Asia","Oilseeds and pulses",null,3.7999999999999999E-2]
[null,"Bangladesh","Tomatoes","Production",15.484,null,"Canada","Animal Protein","Retail",3.5,null,"Sub-Saharan Africa","Eggs",0,1.01,null,"Northern Europe","Fruits","Processing",3.6666666666666665,null,"Industrialized Asia","Oilseeds and pulses","Production",0.06]
[null,"Bangladesh","Tomatoes","Processing",1.35,null,"Canada","Fruits",0,5.9550000000000001,null,"Sub-Saharan Africa","Maize",0,6.9694549763033455,null,"Northern Europe","Fruits","Retail",2.4166666666666665,null,"Industrialized Asia","Oilseeds and pulses","Storage",2.1298001886476754E-2]
[null,"Bangladesh","Tomatoes","Retail",8.6333333333333329,null,"Canada","Pulses & Grains",0,7.5000000000000011E-2,null,"Sub-Saharan Africa","Maize","Storage",3.4267153284671412,null,"Northern Europe","Pulses & Grains",0,3.0077070063694267,null,"Industrialized Asia","Oilseeds and pulses","Transport",8.7019981135232419E-3]
[null,"Bangladesh","Wheat",0,40.85,null,"Chad","",0,14.307500000000001,null,"Sub-Saharan Africa","Maize","Transport",1.531464435146441,null,"Northern Europe","Pulses & Grains","Production",10.964285714285714,null,"Industrialized Asia","Oilseeds and pulses","(blank)",3.5000000000000003E-2]
[null,"Bangladesh","Wheat","Transport",5.53,null,"Chad","Pulses & Grains",0,5.9028787878787883,null,"Sub-Saharan Africa","Maize","Production",3.1756327543424416,null,"Northern Europe","Pulses & Grains","Processing",6,null,"Industrialized Asia","Oilseeds and pulses","Processing",0.05]
[null,"Bangladesh","Wheat","Storage",2.0966666666666667,null,"Chad","Pulses & Grains","Production",2.4411111111111103,null,"Sub-Saharan Africa","Maize",null,15.15,null,"Northern Europe","Tubers/Root Crops",0,11.64,null,"Industrialized Asia","Oilseeds and pulses","Retail",0.01]
[null,"Bangladesh","Wheat","Production",16.313333333333333,null,"Chile","","Production",13,null,"Sub-Saharan Africa","Maize","Processing",5.1611111111111114,null,"Northern Europe","Tubers/Root Crops","Storage",5.12,null,"Industrialized Asia","Roots and tubers",null,0.122]
[null,"Bangladesh",0,0,12.450882352941177,null,"Chile","Tubers/Root Crops",0,1.3,null,"Sub-Saharan Africa","Maize","Retail",2.9,null,"Northern Europe","Tubers/Root Crops","Production",13.078571428571427,null,"Industrialized Asia","Roots and tubers","Production",0.2]
[null,"Bangladesh",0,"Production",6.9521428571428592,null,"Chile","Tubers/Root Crops","Storage",5.7,null,"Sub-Saharan Africa","Mangoes",0,17.552941176470586,null,"Northern Europe","Tubers/Root Crops","Processing",19.5,null,"Industrialized Asia","Roots and tubers","Storage",5.4983996379643733E-2]
[null,"Bangladesh",0,"Retail",7.5092307692307694,null,"China","",0,5.625,null,"Sub-Saharan Africa","Mangoes","Storage",2.5,null,"Northern Europe","Tubers/Root Crops","Retail",2.25,null,"Industrialized Asia","Roots and tubers","Transport",1.5016003620356278E-2]
[null,"Bangladesh","Pineapples",0,18.86,null,"China",null,"Storage",10.7875,null,"Sub-Saharan Africa","Mangoes","Transport",10.6,null,"Northern Europe","Vegetables ",0,15.666666666666666,null,"Industrialized Asia","Roots and tubers","(blank)",8.5000000000000006E-2]
[null,"Bangladesh","Pineapples","Production",10.4,null,"China",null,"Production",5,null,"Sub-Saharan Africa","Mangoes","Production",18.778571428571428,null,"Northern Europe","Vegetables ","Storage",1.25,null,"Industrialized Asia","Roots and tubers","Processing",0.15]
[null,"Bangladesh","Pineapples","Retail",6.97,null,"China",null,"Processing",2.75,null,"Sub-Saharan Africa","Mangoes","Processing",10.25,null,"Northern Europe","Vegetables ","Production",13.2,null,"Industrialized Asia","Roots and tubers","Retail",0.09]
[null,"Belgium","Eggs",0,3.33,null,"China","Animal Protein",0,3,null,"Sub-Saharan Africa","Mangoes","Retail",21,null,"Northern Europe","Vegetables ","Processing",1,null,"Latin America","Cereals",null,5.6000000000000008E-2]
[null,"Benin","Cassava",0,13.6,null,"China","Animal Protein","Storage",3.1,null,"Sub-Saharan Africa","Meat (Cattle)",0,7,null,"Northern Europe","Vegetables ","Retail",2,null,"Latin America","Cereals","Production",0.06]
[null,"Benin","Cassava","Storage",45,null,"China","Animal Protein","Production",5.35,null,"Sub-Saharan Africa","Meat (Chicken)","Production",1.8,null,"South-eastern Asia","Animal Protein",0,5.626666666666666,null,"Latin America","Cereals","Storage",2.8397335848635671E-2]
[null,"Benin","Cassava","Production",8.5,null,"China","Animal Protein","Processing",1.1000000000000001,null,"Sub-Saharan Africa","Milk (cattle)",0,8,null,"South-eastern Asia","Fruits",0,5.9333333333333336,null,"Latin America","Cereals","Transport",1.1602664151364324E-2]
[null,"Benin","Cassava","Processing",23.2,null,"China","Pulses & Grains",0,47.5,null,"Sub-Saharan Africa","Oranges",0,15.799999999999999,null,"South-eastern Asia","Fruits","Production",12.5,null,"Latin America","Cereals","(blank)",7.0000000000000007E-2]
[null,"Benin","Maize",0,8.8236363636363642,null,"China","Pulses & Grains","Storage",7.6749999999999998,null,"Sub-Saharan Africa","Oranges","Production",6.1,null,"South-eastern Asia","Fruits","Retail",3.5,null,"Latin America","Cereals","Processing",0.04]
[null,"Benin","Maize","Transport",1.65,null,"China","Tubers/Root Crops",0,3.3,null,"Sub-Saharan Africa","Oranges","Retail",16.875,null,"South-eastern Asia","Pulses & Grains",0,6.2992307692307703,null,"Latin America","Cereals","Retail",0.04]
[null,"Benin","Maize","Storage",2.9458333333333329,null,"China","Tubers/Root Crops","Storage",20,null,"Sub-Saharan Africa","Peppers",0,12.05,null,"South-eastern Asia","Pulses & Grains","Storage",12.2,null,"Latin America","Fish and seafood",null,6.7400000000000002E-2]
[null,"Benin","Maize","Production",3.3128888888888883,null,"Colombia","",0,17.670000000000002,null,"Sub-Saharan Africa","Peppers","Transport",12.5,null,"South-eastern Asia","Pulses & Grains","Transport",1,null,"Latin America","Fish and seafood","Production",5.7000000000000002E-2]
[null,"Benin","Mangoes",0,45.4,null,"Colombia",null,"Storage",3.1,null,"Sub-Saharan Africa","Peppers","Production",11.5,null,"South-eastern Asia","Pulses & Grains","Production",5.5622727272727275,null,"Latin America","Fish and seafood","Storage",{"$error":"#VALUE!"}]
[null,"Benin","Mangoes","Retail",49.5,null,"Colombia",null,"Retail",3,null,"Sub-Saharan Africa","Peppers","Retail",11.3,null,"South-eastern Asia","Pulses & Grains","Processing",6.833333333333333,null,"Latin America","Fish and seafood","Transport",{"$error":"#VALUE!"}]
[null,"Benin","Oranges",0,26.3,null,"Costa Rica","Fruits",0,2,null,"Sub-Saharan Africa","Potatoes",0,10.997222222222222,null,"South-eastern Asia","Tubers/Root Crops",0,5.0487500000000001,null,"Latin America","Fish and seafood","(blank)",4.4999999999999998E-2]
[null,"Benin","Oranges","Production",10,null,"Costa Rica","Fruits","Production",10,null,"Sub-Saharan Africa","Potatoes","Storage",13.491666666666667,null,"South-eastern Asia","Tubers/Root Crops","Transport",1.0049999999999999,null,"Latin America","Fish and seafood","Processing",0.09]
[null,"Benin","Oranges","Retail",30.95,null,"Costa Rica","Fruits","Retail",7.5,null,"Sub-Saharan Africa","Potatoes","Transport",4.4000000000000004,null,"South-eastern Asia","Tubers/Root Crops","Processing",0.505,null,"Latin America","Fish and seafood","Retail",0.1]
[null,"Benin","Peppers",0,12.1,null,"Cuba","",0,1.01,null,"Sub-Saharan Africa","Potatoes","Production",14.2,null,"South-eastern Asia","Tubers/Root Crops","Retail",1,null,"Latin America","Fruits and vegetables",null,0.14399999999999999]
[null,"Benin","Peppers","Production",10.45,null,"Cuba",null,"Processing",1.1709999999999998,null,"Sub-Saharan Africa","Potatoes","Processing",3.7333333333333329,null,"South-eastern Asia","Vegetables ",0,11.5,null,"Latin America","Fruits and vegetables","Production",0.2]
[null,"Benin","Peppers","Retail",9.5,null,"Cuba","Fruits","Processing",4.6599999999999993,null,"Sub-Saharan Africa","Potatoes","Retail",20.722222222222221,null,"Southern Asia","Animal Protein",0,3.026153846153846,null,"Latin America","Fruits and vegetables","Storage",1.7148458437658328E-2]
[null,"Benin","Rice",0,7.3327272727272721,null,"Cuba","Pulses & Grains",0,3.5950000000000002,null,"Sub-Saharan Africa","Rice",0,5.0016374269006114,null,"Southern Asia","Animal Protein","Storage",0.64799999999999991,null,"Latin America","Fruits and vegetables","Transport",8.2851541562341688E-2]
[null,"Benin","Rice","Transport",1,null,"Cuba","Tubers/Root Crops",0,3.31,null,"Sub-Saharan Africa","Rice","Storage",2.7023701298701277,null,"Southern Asia","Animal Protein","Transport",0.19,null,"Latin America","Fruits and vegetables","(blank)",0.1]
[null,"Benin","Rice","Storage",2.5624999999999996,null,"Cuba","Tubers/Root Crops","Processing",5.55,null,"Sub-Saharan Africa","Rice","Transport",1.0058724832214765,null,"Southern Asia","Animal Protein","Production",0.99,null,"Latin America","Fruits and vegetables","Processing",0.2]
[null,"Benin","Rice","Production",2.2966666666666669,null,"Democratic People's Republic of Korea","Pulses & Grains",0,16.315000000000001,null,"Sub-Saharan Africa","Rice","Production",1.9288671274961631,null,"Southern Asia","Fruits",0,9.9492788461538524,null,"Latin America","Fruits and vegetables","Retail",0.12]
[null,"Benin","Sorghum",0,6.0545454545454538,null,"Democratic Republic of the Congo","Pulses & Grains",0,5.123333333333334,null,"Sub-Saharan Africa","Rice","Processing",8.4969999999999981,null,"Southern Asia","Fruits","Storage",2.0348039215686278,null,"Latin America","Meat",null,4.48E-2]
[null,"Benin","Sorghum","Transport",1,null,"Democratic Republic of the Congo","Pulses & Grains","Storage",2.6500000000000008,null,"Sub-Saharan Africa","Sesame seed",0,9.57,null,"Southern Asia","Fruits","Transport",5.0155555555555553,null,"Latin America","Meat","Production",5.2999999999999999E-2]
[null,"Benin","Sorghum","Storage",2.6499999999999995,null,"Democratic Republic of the Congo","Pulses & Grains","Transport",1.2166666666666663,null,"Sub-Saharan Africa","Sesame seed","Processing",5.38,null,"Southern Asia","Fruits","Production",5.6021276595744682,null,"Latin America","Meat","Storage",3.6076458752515085E-3]
[null,"Benin","Sorghum","Production",2.8850000000000011,null,"Democratic Republic of the Congo","Pulses & Grains","Production",2.6809090909090894,null,"Sub-Saharan Africa","Sorghum",0,4.8252341597795914,null,"Southern Asia","Fruits",null,24,null,"Latin America","Meat","Transport",7.3923541247484905E-3]
[null,"Benin","Tomatoes",0,26.2,null,"Denmark","",0,18.318181818181817,null,"Sub-Saharan Africa","Sorghum","Storage",2.2702808988764036,null,"Southern Asia","Fruits","Processing",1.35,null,"Latin America","Meat","(blank)",3.5499999999999997E-2]
[null,"Benin","Tomatoes","Production",39.5,null,"Denmark",null,"Storage",8.5,null,"Sub-Saharan Africa","Sorghum","Transport",1.0168539325842696,null,"Southern Asia","Fruits","Retail",7.1216666666666679,null,"Latin America","Meat","Processing",0.05]
[null,"Benin","Tomatoes","Retail",27.2,null,"Denmark",null,"Transport",9,null,"Sub-Saharan Africa","Sorghum","Production",2.709979487179484,null,"Southern Asia","Nuts/Seeds",0,3.7092307692307691,null,"Latin America","Meat","Retail",0.05]
[null,"Benin",0,0,6.854166666666667,null,"Denmark",null,"Production",19.5,null,"Sub-Saharan Africa","Sorghum","Processing",3.39,null,"Southern Asia","Nuts/Seeds","Storage",0.44,null,"Latin America","Milk",null,4.7E-2]
[null,"Benin",0,"Production",2.1999999999999997,null,"Denmark",null,"Processing",5,null,"Sub-Saharan Africa","Sorghum","Retail",0.9,null,"Southern Asia","Nuts/Seeds","Transport",7.0000000000000007E-2,null,"Latin America","Milk","Production",3.5000000000000003E-2]
[null,"Benin",0,"Retail",28,null,"Denmark",null,"Retail",5,null,"Sub-Saharan Africa","Sunflower seeds",0,2,null,"Southern Asia","Nuts/Seeds","Production",1.0066666666666666,null,"Latin America","Milk","Storage",1.9678068410462775E-2]
[null,"Benin","Millet",0,3.5,null,"Denmark","Pulses & Grains",0,3.3094594594594597,null,"Sub-Saharan Africa","Sunflower seeds","Storage",35,null,"Southern Asia","Pulses & Grains",0,7.2995255474452572,null,"Latin America","Milk","Transport",4.0321931589537223E-2]
[null,"Benin","Millet","Production",2.0450000000000004,null,"Denmark","Pulses & Grains","Production",11.5,null,"Sub-Saharan Africa","Sunflower seeds","Production",5,null,"Southern Asia","Pulses & Grains","Storage",3.3968181818181833,null,"Latin America","Milk","(blank)",0.05]
[null,"Benin","Pineapples",0,31.95,null,"Denmark","Tubers/Root Crops",0,13.986666666666666,null,"Sub-Saharan Africa","Sunflower seeds","Processing",20.005000000000003,null,"Southern Asia","Pulses & Grains","Transport",3.9834999999999994,null,"Latin America","Milk","Processing",0.02]
[null,"Benin","Pineapples","Retail",22,null,"Denmark","Tubers/Root Crops","Production",25,null,"Sub-Saharan Africa","Sweet Potatoes",0,13.135,null,"Southern Asia","Pulses & Grains","Production",3.8834574468085101,null,"Latin America","Milk","Retail",0.08]
[null,"Bolivia (Plurinational State of)","Maize",0,0.67749999999999999,null,"Ecuador","Nuts/Seeds",0,5,null,"Sub-Saharan Africa","Sweet Potatoes","Processing",7.5,null,"Southern Asia","Pulses & Grains",null,20,null,"Latin America","Oilseeds and pulses",null,4.1999999999999996E-2]
[null,"Bolivia (Plurinational State of)","Potatoes",0,5.41,null,"Ecuador","Pulses & Grains","Storage",10,null,"Sub-Saharan Africa","Tomatoes",0,16.086000000000002,null,"Southern Asia","Pulses & Grains","Processing",1.8673000000000002,null,"Latin America","Oilseeds and pulses","Production",0.06]
[null,"Bolivia (Plurinational State of)","Rice","Storage",7,null,"Ecuador","Pulses & Grains","Production",10,null,"Sub-Saharan Africa","Tomatoes","Transport",28,null,"Southern Asia","Pulses & Grains","Retail",0.28750000000000003,null,"Latin America","Oilseeds and pulses","Storage",2.1298001886476754E-2]
[null,"Bolivia (Plurinational State of)","Rice","Production",3.5,null,"Ecuador","Pulses & Grains",null,20,null,"Sub-Saharan Africa","Tomatoes","Production",29.85,null,"Southern Asia","Tubers/Root Crops",0,5.9126470588235307,null,"Latin America","Oilseeds and pulses","Transport",8.7019981135232419E-3]
[null,"Bolivia (Plurinational State of)","Sorghum",0,1.0033333333333332,null,"Ecuador","Tubers/Root Crops",0,0.93049999999999999,null,"Sub-Saharan Africa","Tomatoes","Retail",22.025000000000002,null,"Southern Asia","Tubers/Root Crops","Storage",0.21800000000000003,null,"Latin America","Oilseeds and pulses","(blank)",2.5000000000000001E-2]
[null,"Bolivia (Plurinational State of)","Soybeans",0,1.6900000000000002,null,"Ecuador","Tubers/Root Crops","Production",10.465,null,"Sub-Saharan Africa","Wheat",0,4.4735294117646944,null,"Southern Asia","Tubers/Root Crops","Transport",0.72,null,"Latin America","Oilseeds and pulses","Processing",0.08]
[null,"Bolivia (Plurinational State of)","Sunflower seeds",0,2.7733333333333334,null,"Ecuador","Tubers/Root Crops","Processing",2.4500000000000002,null,"Sub-Saharan Africa","Wheat","Storage",2.8070652173913055,null,"Southern Asia","Tubers/Root Crops","Production",2.3136363636363635,null,"Latin America","Oilseeds and pulses","Retail",0.02]
[null,"Botswana","Maize",0,7.8072727272727258,null,"Egypt","",0,7.8442424242424247,null,"Sub-Saharan Africa","Wheat","Transport",1,null,"Southern Asia","Tubers/Root Crops",null,24,null,"Latin America","Roots and tubers",null,9.4E-2]
[null,"Botswana","Maize","Transport",1.57,null,"Egypt","Fruits",0,35.5,null,"Sub-Saharan Africa","Wheat","Production",3.2185253456221172,null,"Southern Asia","Vegetables ",0,13.096666666666669,null,"Latin America","Roots and tubers","Production",0.14000000000000001]
[null,"Botswana","Maize","Storage",2.6499999999999995,null,"Egypt","Nuts/Seeds",0,7.3310000000000004,null,"Sub-Saharan Africa",0,0,7.0758461538461539,null,"Southern Asia","Vegetables ","Storage",9.5000000000000001E-2,null,"Latin America","Roots and tubers","Storage",0.10996799275928747]
[null,"Botswana","Maize","Production",2.6977272727272732,null,"Egypt","Pulses & Grains",0,5.6010256410256405,null,"Sub-Saharan Africa",0,"Storage",6.2283783783783804,null,"Southern Asia","Vegetables ","Production",0.25,null,"Latin America","Roots and tubers","Transport",3.0032007240712557E-2]
[null,"Botswana","Sorghum",0,4.2109090909090918,null,"Egypt","Pulses & Grains","Production",14,null,"Sub-Saharan Africa",0,"Transport",2.2766666666666664,null,"Southern Asia","Vegetables ",null,24,null,"Latin America","Roots and tubers","(blank)",9.0000000000000011E-2]
[null,"Botswana","Sorghum","Transport",1,null,"Egypt","Tubers/Root Crops",0,16.160000000000004,null,"Sub-Saharan Africa",0,"Production",2.7477688172042982,null,"Southern Asia","Mycoprotein",0,5.25,null,"Latin America","Roots and tubers","Processing",0.12]
[null,"Botswana","Sorghum","Storage",1.4181818181818184,null,"El Salvador","Pulses & Grains","Production",7,null,"Sub-Saharan Africa",0,"Processing",9.6690909090909081,null,"Southern Asia","Mycoprotein","Storage",1.4566666666666668,null,"Latin America","Roots and tubers","Retail",0.03]
[null,"Botswana","Sorghum","Production",2.7057575757575751,null,"Eritrea","Pulses & Grains",0,4.4800000000000004,null,"Sub-Saharan Africa",0,"Retail",12.66923076923077,null,"Southern Asia","Mycoprotein","Transport",0.77,null,"North Africa, West and Central Asia","Cereals",null,6.7999999999999991E-2]
[null,"Botswana","Millet",0,4.3281818181818172,null,"Eritrea","Pulses & Grains","Production",2.5762500000000013,null,"Sub-Saharan Africa","Beans",0,5.1000000000000005,null,"Southern Asia","Mycoprotein","Production",3.2199999999999998,null,"North Africa, West and Central Asia","Cereals","Production",0.06]
[null,"Botswana","Millet","Transport",1,null,"Estonia","Pulses & Grains",0,0.75050000000000006,null,"Sub-Saharan Africa","Beans","Storage",1.2566666666666666,null,"Southern Europe","Animal Protein",0,0.20375000000000001,null,"North Africa, West and Central Asia","Cereals","Storage",5.6794671697271343E-2]
[null,"Botswana","Millet","Storage",2.1636363636363636,null,"Estonia","Tubers/Root Crops",0,3.9124999999999996,null,"Sub-Saharan Africa","Beans","Processing",2.0299999999999998,null,"Southern Europe","Pulses & Grains",0,1.9857142857142858,null,"North Africa, West and Central Asia","Cereals","Transport",2.3205328302728648E-2]
[null,"Botswana","Millet","Production",1.6660606060606062,null,"Ethiopia","","Storage",4.0999999999999996,null,"Sub-Saharan Africa","Oats",0,2,null,"Southern Europe","Tubers/Root Crops",0,4,null,"North Africa, West and Central Asia","Cereals","(blank)",0.1]
[null,"Brazil","Rice","Storage",15.5,null,"Ethiopia","Fruits",0,17.175000000000001,null,"Sub-Saharan Africa","Oats","Storage",1.3000000000000003,null,"Sub-Saharan Africa","Animal Protein",0,4.2549999999999999,null,"North Africa, West and Central Asia","Cereals","Processing",0.04]
[null,"Burkina Faso","Maize",0,8.2581818181818196,null,"Ethiopia","Fruits","Production",4.5,null,"Sub-Saharan Africa","Millet",0,3.8780194805194816,null,"Sub-Saharan Africa","Animal Protein","Production",1.8,null,"North Africa, West and Central Asia","Cereals","Retail",0.04]
[null,"Burkina Faso","Maize","Transport",1.65,null,"Ethiopia","Fruits","Retail",14.9,null,"Sub-Saharan Africa","Millet","Storage",2.378947368421052,null,"Sub-Saharan Africa","Fruits",0,15.759777777777774,null,"North Africa, West and Central Asia","Fish and seafood",null,6.9199999999999998E-2]
[null,"Burkina Faso","Maize","Storage",2.5874999999999995,null,"Ethiopia","Pulses & Grains",0,4.0893750000000013,null,"Sub-Saharan Africa","Millet","Transport",1.0223880597014925,null,"Sub-Saharan Africa","Fruits","Storage",2.5,null,"North Africa, West and Central Asia","Fish and seafood","Production",6.6000000000000003E-2]
[null,"Burkina Faso","Maize","Production",3.4709090909090903,null,"Ethiopia","Pulses & Grains","Storage",2.660625000000004,null,"Sub-Saharan Africa","Millet","Production",1.8110493827160519,null,"Sub-Saharan Africa","Fruits","Transport",21.72,null,"North Africa, West and Central Asia","Fish and seafood","Storage",{"$error":"#VALUE!"}]
[null,"Burkina Faso","Rice",0,4.3999999999999995,null,"Ethiopia","Pulses & Grains","Transport",1.0992424242424241,null,"Sub-Saharan Africa","Millet","Processing",10.24,null,"Sub-Saharan Africa","Fruits","Production",22.075925925925926,null,"North Africa, West and Central Asia","Fish and seafood","Transport",{"$error":"#VALUE!"}]
[null,"Burkina Faso","Rice","Transport",1,null,"Ethiopia","Pulses & Grains","Production",2.6223043478260881,null,"Sub-Saharan Africa","Millet","Retail",0.7,null,"Sub-Saharan Africa","Fruits","Processing",10.833333333333334,null,"North Africa, West and Central Asia","Fish and seafood","(blank)",4.4999999999999998E-2]
[null,"Burkina Faso","Rice","Storage",2.6499999999999995,null,"Fiji","",0,3.3768749999999996,null,"Sub-Saharan Africa","Pineapples",0,17.37,null,"Sub-Saharan Africa","Fruits","Retail",17.110526315789475,null,"North Africa, West and Central Asia","Fish and seafood","Processing",0.09]
[null,"Burkina Faso","Rice","Production",1.7788636363636363,null,"Fiji","Fruits",0,8.5625,null,"Sub-Saharan Africa","Pineapples","Production",11.833333333333334,null,"Sub-Saharan Africa","Nuts/Seeds",0,9.0516666666666676,null,"North Africa, West and Central Asia","Fish and seafood","Retail",0.1]
[null,"Burkina Faso","Sorghum",0,4.5499999999999989,null,"Fiji","Fruits","Transport",0.13,null,"Sub-Saharan Africa","Pineapples","Retail",18.05,null,"Sub-Saharan Africa","Nuts/Seeds","Storage",35,null,"North Africa, West and Central Asia","Fruits and vegetables",null,0.14799999999999999]
[null,"Burkina Faso","Sorghum","Transport",1,null,"Fiji","Fruits","Production",8.8000000000000007,null,"Sub-Saharan Africa","Onions (dry)",0,9.76,null,"Sub-Saharan Africa","Nuts/Seeds","Production",3.45,null,"North Africa, West and Central Asia","Fruits and vegetables","Production",0.17]
[null,"Burkina Faso","Sorghum","Storage",2.6499999999999995,null,"Fiji","Pulses & Grains",0,9.9937499999999986,null,"Sub-Saharan Africa","Peanuts",0,1.1000000000000001,null,"Sub-Saharan Africa","Nuts/Seeds","Processing",11.722500000000002,null,"North Africa, West and Central Asia","Fruits and vegetables","Storage",1.7148458437658328E-2]
[null,"Burkina Faso","Sorghum","Production",2.4403030303030304,null,"Fiji","Tubers/Root Crops",0,2.5945454545454547,null,"Sub-Saharan Africa","Peanuts","Production",1.9,null,"Sub-Saharan Africa","Nuts/Seeds","Retail",2.2000000000000002,null,"North Africa, West and Central Asia","Fruits and vegetables","Transport",8.2851541562341688E-2]
[null,"Burkina Faso",0,0,4.6454545454545455,null,"France","Animal Protein",0,0.87750000000000006,null,"Sub-Saharan Africa","Peanuts","Processing",1.5,null,"Sub-Saharan Africa","Pulses & Grains",0,5.1046417998815885,null,"North Africa, West and Central Asia","Fruits and vegetables","(blank)",0.11]
[null,"Burkina Faso",0,"Transport",1,null,"France","Fruits",0,17.2,null,"Sub-Saharan Africa","Peanuts","Retail",2.2000000000000002,null,"Sub-Saharan Africa","Pulses & Grains","Storage",2.7372480620155226,null,"North Africa, West and Central Asia","Fruits and vegetables","Processing",0.2]
[null,"Burkina Faso",0,"Storage",2.5374999999999992,null,"France","Pulses & Grains",0,1.0776923076923075,null,"Sub-Saharan Africa","Wheat flour",0,0.91,null,"Sub-Saharan Africa","Pulses & Grains","Transport",1.1588315539739005,null,"North Africa, West and Central Asia","Fruits and vegetables","Retail",0.15]
[null,"Burkina Faso",0,"Production",2.2919512195121952,null,"France","Tubers/Root Crops",0,15.57,null,"Northern Africa","Barley",0,7.016,null,"Sub-Saharan Africa","Pulses & Grains","Production",2.5131625695316893,null,"North Africa, West and Central Asia","Meat",null,4.9599999999999998E-2]
[null,"Burkina Faso","Millet",0,3.5,null,"Gabon","",0,35,null,"Northern Africa","Grapes",0,28,null,"Sub-Saharan Africa","Pulses & Grains",null,15.15,null,"North Africa, West and Central Asia","Meat","Production",6.6000000000000003E-2]
[null,"Burkina Faso","Millet","Transport",1,null,"Gambia","",0,3.5,null,"Northern Africa","Lentils",0,6.444,null,"Sub-Saharan Africa","Pulses & Grains","Processing",6.2223684210526304,null,"North Africa, West and Central Asia","Meat","Storage",6.5593561368209252E-4]
[null,"Burkina Faso","Millet","Storage",2.6499999999999995,null,"Gambia",null,"Production",2.1999999999999997,null,"Northern Africa","Maize",0,13.245714285714286,null,"Sub-Saharan Africa","Pulses & Grains","Retail",1.85,null,"North Africa, West and Central Asia","Meat","Transport",1.3440643863179074E-3]
[null,"Burkina Faso","Millet","Production",1.6688636363636364,null,"Gambia","Pulses & Grains",0,4.7175000000000002,null,"Northern Africa","Potatoes",0,20.905999999999999,null,"Sub-Saharan Africa","Tubers/Root Crops",0,10.432285714285715,null,"North Africa, West and Central Asia","Meat","(blank)",4.1000000000000002E-2]
[null,"Burundi","Maize",0,6.4200000000000008,null,"Gambia","Pulses & Grains","Production",2.511333333333333,null,"Northern Africa","Rice",0,6.2087500000000002,null,"Sub-Saharan Africa","Tubers/Root Crops","Storage",12.706153846153846,null,"North Africa, West and Central Asia","Meat","Processing",0.05]
[null,"Burundi","Maize","Production",3.2349999999999999,null,"Georgia","Fruits",0,3.2839999999999998,null,"Northern Africa","Sesame seed",0,8.5740000000000016,null,"Sub-Saharan Africa","Tubers/Root Crops","Transport",2.5,null,"North Africa, West and Central Asia","Meat","Retail",0.05]
[null,"Burundi","Rice",0,4.3999999999999995,null,"Georgia","Pulses & Grains",0,2.9380000000000002,null,"Northern Africa","Sorghum",0,4.490555555555555,null,"Sub-Saharan Africa","Tubers/Root Crops","Production",8.6038461538461526,null,"North Africa, West and Central Asia","Milk",null,4.2999999999999997E-2]
[null,"Burundi","Rice","Production",2.0225000000000004,null,"Georgia","Tubers/Root Crops",0,1.5162500000000001,null,"Northern Africa","Sorghum","Production",2.7466666666666661,null,"Sub-Saharan Africa","Tubers/Root Crops","Processing",7.7252941176470609,null,"North Africa, West and Central Asia","Milk","Production",3.5000000000000003E-2]
[null,"Burundi","Sorghum",0,4.5499999999999989,null,"Germany","",0,1.954,null,"Northern Africa","Soybeans",0,2.38,null,"Sub-Saharan Africa","Tubers/Root Crops","Retail",19.18181818181818,null,"North Africa, West and Central Asia","Milk","Storage",1.9678068410462775E-2]
[null,"Burundi","Sorghum","Production",2.82,null,"Germany",null,null,2.15,null,"Northern Africa","Sunflower seeds",0,6.0879999999999992,null,"Sub-Saharan Africa","Vegetables ",0,12.05,null,"North Africa, West and Central Asia","Milk","Transport",4.0321931589537223E-2]
[null,"Burundi","Wheat",0,4.43,null,"Germany","Animal Protein",0,1.2475000000000001,null,"Northern Africa","Sweet Potatoes",0,11.414,null,"Sub-Saharan Africa","Vegetables ","Transport",12.5,null,"North Africa, West and Central Asia","Milk","(blank)",0.04]
[null,"Burundi","Wheat","Production",3.623333333333334,null,"Germany","Nuts/Seeds",0,2.927777777777778,null,"Northern Africa","Tomatoes",0,43,null,"Sub-Saharan Africa","Vegetables ","Production",11.5,null,"North Africa, West and Central Asia","Milk","Processing",0.02]
[null,"Burundi","Millet",0,3.5,null,"Germany","Pulses & Grains",0,2.9284782608695652,null,"Northern Africa","Wheat",0,4.9921428571428565,null,"Sub-Saharan Africa","Vegetables ","Retail",11.3,null,"North Africa, West and Central Asia","Milk","Retail",0.08]
[null,"Burundi","Millet","Production",2.0450000000000004,null,"Germany","Tubers/Root Crops",0,11.856666666666667,null,"Northern Africa","Wheat","Production",3.3558823529411757,null,"Western Asia","Animal Protein",0,1.9076923076923078,null,"North Africa, West and Central Asia","Oilseeds and pulses",null,6.5999999999999989E-2]
[null,"Cambodia","Tomatoes",0,3.5,null,"Ghana","",0,12.959090909090911,null,"Northern Africa",0,0,7.8442424242424247,null,"Western Asia","Animal Protein","Storage",0.2,null,"North Africa, West and Central Asia","Oilseeds and pulses","Production",0.15]
[null,"Cambodia","Tomatoes","Production",12.5,null,"Ghana",null,"Storage",14.169999999999998,null,"Northern Africa","Beans",0,0.86,null,"Western Asia","Animal Protein","Transport",3.1500000000000004,null,"North Africa, West and Central Asia","Oilseeds and pulses","Storage",4.2596003772953507E-2]
[null,"Cambodia","Tomatoes","Retail",3.5,null,"Ghana",null,"Transport",0.5,null,"Northern Africa","Millet",0,3.3492307692307692,null,"Western Asia","Animal Protein","Production",5,null,"North Africa, West and Central Asia","Oilseeds and pulses","Transport",1.7403996227046484E-2]
[null,"Cameroon","Maize",0,6.4200000000000008,null,"Ghana",null,"Production",16.254999999999999,null,"Northern Africa","Millet","Production",1.8766666666666669,null,"Western Asia","Animal Protein","Processing",5,null,"North Africa, West and Central Asia","Oilseeds and pulses","(blank)",0.04]
[null,"Cameroon","Maize","Production",3.606818181818181,null,"Ghana",null,"Processing",3.3666666666666667,null,"Northern Africa","Chick-peas",0,5.65,null,"Western Asia","Fruits",0,6.4173684210526316,null,"North Africa, West and Central Asia","Oilseeds and pulses","Processing",0.08]
[null,"Cameroon","Rice",0,4.3999999999999995,null,"Ghana",null,"Retail",12.17,null,"Northern America","Apples",0,4,null,"Western Asia","Fruits","Production",3.5,null,"North Africa, West and Central Asia","Oilseeds and pulses","Retail",0.02]
[null,"Cameroon","Rice","Production",1.8218181818181813,null,"Ghana","Animal Protein","Production",1.8,null,"Northern America","Apples","Retail",19.2,null,"Western Asia","Fruits","Processing",4.5,null,"North Africa, West and Central Asia","Roots and tubers",null,7.5999999999999998E-2]
[null,"Cameroon",0,0,35,null,"Ghana","Fruits",0,13.25,null,"Northern America","Bananas","Retail",4.05,null,"Western Asia","Nuts/Seeds",0,2.79,null,"North Africa, West and Central Asia","Roots and tubers","Production",0.06]
[null,"Cameroon","Millet",0,3.5,null,"Ghana","Fruits","Storage",2.5,null,"Northern America","Carrots",0,7.5,null,"Western Asia","Pulses & Grains",0,6.4932967032967071,null,"North Africa, West and Central Asia","Roots and tubers","Storage",7.8548566256633909E-2]
[null,"Cameroon","Millet","Production",1.5206818181818178,null,"Ghana","Fruits","Production",19.779166666666665,null,"Northern America","Carrots","Retail",44.366666666666667,null,"Western Asia","Pulses & Grains","Storage",11.266999999999999,null,"North Africa, West and Central Asia","Roots and tubers","Transport",2.1451433743366111E-2]
[null,"Canada","Eggs",0,1.9499999999999997,null,"Ghana","Fruits","Processing",4.25,null,"Northern America","Eggs",0,1.9774999999999998,null,"Western Asia","Pulses & Grains","Transport",0.28999999999999998,null,"North Africa, West and Central Asia","Roots and tubers","(blank)",0.08]
[null,"Canada","Grapes",0,5.9550000000000001,null,"Ghana","Fruits","Retail",16.412500000000001,null,"Northern America","Grapes",0,8.0630769230769221,null,"Western Asia","Pulses & Grains","Production",8.3333333333333339,null,"North Africa, West and Central Asia","Roots and tubers","Processing",0.12]
[null,"Canada","Meat (Cattle)","Retail",3.5,null,"Ghana","Nuts/Seeds",0,1.1000000000000001,null,"Northern America","Grapes","Retail",8.6999999999999993,null,"Western Asia","Pulses & Grains","Processing",6,null,"North Africa, West and Central Asia","Roots and tubers","Retail",0.04]
[null,"Canada","Wheat",0,7.5000000000000011E-2,null,"Ghana","Nuts/Seeds","Production",1.9,null,"Northern America","Mangoes",0,5,null,"Western Asia","Tubers/Root Crops",0,9.246052631578948,null,"North America and Oceania","Cereals",null,5.6000000000000008E-2]
[null,"Canada",0,0,44,null,"Ghana","Nuts/Seeds","Processing",1.5,null,"Northern America","Meat (Cattle)","Retail",3.5,null,"Western Asia","Tubers/Root Crops","Production",12.5,null,"North America and Oceania","Cereals","Production",0.02]
[null,"Canada","Meat (Pigs)",0,8,null,"Ghana","Nuts/Seeds","Retail",2.2000000000000002,null,"Northern America","Oranges","Retail",14.8,null,"Western Europe","Animal Protein",0,1.0800000000000003,null,"North America and Oceania","Cereals","Storage",1.4198667924317836E-2]
[null,"Chad","Maize",0,8.1433333333333344,null,"Ghana","Pulses & Grains",0,4.8719230769230775,null,"Northern America","Peppers",0,8,null,"Western Europe","Fruits",0,9.0419999999999998,null,"North America and Oceania","Cereals","Transport",5.8013320756821621E-3]
[null,"Chad","Maize","Production",3.0799999999999987,null,"Ghana","Pulses & Grains","Storage",6.6764285714285716,null,"Northern America","Peppers","Retail",10.7,null,"Western Europe","Nuts/Seeds",0,3.56,null,"North America and Oceania","Cereals","(blank)",9.5000000000000001E-2]
[null,"Chad","Rice",0,4.3999999999999995,null,"Ghana","Pulses & Grains","Production",2.5362058823529425,null,"Northern America","Potatoes",0,4.8037499999999991,null,"Western Europe","Pulses & Grains",0,2.348157894736842,null,"North America and Oceania","Cereals","Processing",0.05]
[null,"Chad","Rice","Production",1.9899999999999998,null,"Ghana","Pulses & Grains","Processing",7.2629999999999981,null,"Northern America","Sweet Potatoes",0,10,null,"Western Europe","Tubers/Root Crops",0,9.9201764705882347,null,"North America and Oceania","Cereals","Retail",0.02]
[null,"Chad","Sorghum",0,4.5499999999999989,null,"Ghana","Pulses & Grains","Retail",2.1333333333333333,null,"Northern America","Tomatoes",0,15,null,"Western Europe","Tubers/Root Crops","Production",4.4999999999999998E-2,null,"North America and Oceania","Fish and seafood",null,0.121]
[null,"Chad","Sorghum","Production",2.7866666666666671,null,"Ghana","Tubers/Root Crops",0,1.2,null,"Northern America","Tomatoes","Retail",14.5,null,"Western Europe","Tubers/Root Crops","Processing",8.0000000000000002E-3,null,"North America and Oceania","Fish and seafood","Production",0.12]
[null,"Chad","Wheat",0,5.2778571428571439,null,"Ghana","Tubers/Root Crops","Storage",5.5,null,"Northern America","Wheat",0,7.5000000000000011E-2,null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Storage",{"$error":"#VALUE!"}]
[null,"Chad","Wheat","Production",3.0333333333333328,null,"Ghana","Tubers/Root Crops","Transport",1.5,null,"Northern America",0,0,11.83902546364078,null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Transport",{"$error":"#VALUE!"}]
[null,"Chad",0,0,14.307500000000001,null,"Ghana","Tubers/Root Crops","Production",1.5,null,"Northern America",0,"Production",2,null,null,null,null,null,null,"North America and Oceania","Fish and seafood","(blank)",0.16750000000000001]
[null,"Chad","Millet",0,6.34,null,"Ghana","Tubers/Root Crops","Processing",11.293749999999999,null,"Northern America",0,"Processing",8,null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Processing",0.06]
[null,"Chad","Millet","Production",1.5499999999999998,null,"Ghana","Tubers/Root Crops","Retail",20,null,"Northern America",0,"Retail",20.125641025641027,null,null,null,null,null,null,"North America and Oceania","Fish and seafood","Retail",0.09]
[null,"Chile","Potatoes",0,1.3,null,"Ghana","Vegetables ","Production",15.55,null,"Northern America","Lettuce",0,8,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables",null,0.13200000000000001]
[null,"Chile","Potatoes","Storage",5.7,null,"Ghana","Vegetables ","Retail",13.1,null,"Northern America","Lettuce","Retail",8.3000000000000007,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Production",0.2]
[null,"Chile",0,"Production",13,null,"Guatemala","",0,12.795833333333333,null,"Northern America","Garlic (green)",0,19,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Storage",6.8593833750633304E-3]
[null,"China","Maize","Storage",11,null,"Guatemala","Animal Protein",0,9.89,null,"Northern America","Garlic (green)","Retail",5.0999999999999996,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Transport",3.314061662493667E-2]
[null,"China","Meat (Cattle)",0,3,null,"Guatemala","Fruits",0,15.641,null,"Northern America","Meat (Pigs)",0,8,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","(blank)",0.16]
[null,"China","Meat (Cattle)","Storage",3.1,null,"Guatemala","Pulses & Grains",0,5.7842307692307688,null,"Northern America","Pineapples",0,5,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Processing",0.02]
[null,"China","Meat (Cattle)","Production",1.75,null,"Guatemala","Pulses & Grains","Storage",31.25,null,"Northern America","Pineapples","Retail",37.200000000000003,null,null,null,null,null,null,"North America and Oceania","Fruits and vegetables","Retail",0.12]
[null,"China","Meat (Cattle)","Processing",1.1000000000000001,null,"Guatemala","Pulses & Grains","Production",14.935,null,"Northern America","Lemons",0,4.5,null,null,null,null,null,null,"North America and Oceania","Meat",null,4.9000000000000002E-2]
[null,"China","Meat (Chicken)","Production",8.9499999999999993,null,"Guatemala","Pulses & Grains","Processing",2.91,null,"Northern America","Lemons","Retail",9.5500000000000007,null,null,null,null,null,null,"North America and Oceania","Meat","Production",3.5000000000000003E-2]
[null,"China","Potatoes",0,3.3,null,"Guatemala","Tubers/Root Crops",0,0.90599999999999992,null,"Northern America","Mushrooms",0,6,null,null,null,null,null,null,"North America and Oceania","Meat","Storage",3.2796780684104625E-3]
[null,"China","Potatoes","Storage",20,null,"Guatemala","Vegetables ",0,10.602,null,"Northern America","Mushrooms","Retail",17.3,null,null,null,null,null,null,"North America and Oceania","Meat","Transport",6.7203219315895369E-3]
[null,"China","Rice",0,47.5,null,"Guinea","",0,6.125,null,"Northern America","Avocadoes",0,6,null,null,null,null,null,null,"North America and Oceania","Meat","(blank)",0.06]
[null,"China","Rice","Storage",7.166666666666667,null,"Guinea",null,"Production",2.1999999999999997,null,"Northern America","Avocadoes","Retail",19,null,null,null,null,null,null,"North America and Oceania","Meat","Processing",0.05]
[null,"China","Wheat","Storage",5.9666666666666659,null,"Guinea","Pulses & Grains",0,5.123333333333334,null,"Latin America and the Caribbean","Bananas",0,8.4350000000000005,null,null,null,null,null,null,"North America and Oceania","Meat","Retail",0.04]
[null,"China",0,0,5.625,null,"Guinea","Pulses & Grains","Production",2.6809090909090898,null,"Latin America and the Caribbean","Bananas",null,30,null,null,null,null,null,null,"North America and Oceania","Milk",null,4.1399999999999999E-2]
[null,"China",0,"Storage",10.7875,null,"Guinea-Bissau","",0,6.125,null,"Latin America and the Caribbean","Bananas","Processing",8.69,null,null,null,null,null,null,"North America and Oceania","Milk","Production",3.5000000000000003E-2]
[null,"China",0,"Production",5,null,"Guinea-Bissau",null,"Production",2.1999999999999997,null,"Latin America and the Caribbean","Barley",0,15,null,null,null,null,null,null,"North America and Oceania","Milk","Storage",1.6398390342052312E-3]
[null,"China",0,"Processing",2.75,null,"Guinea-Bissau","Pulses & Grains",0,4.7175000000000002,null,"Latin America and the Caribbean","Carrots",0,19.010000000000002,null,null,null,null,null,null,"North America and Oceania","Milk","Transport",3.3601609657947684E-3]
[null,"Colombia",0,0,17.670000000000002,null,"Guinea-Bissau","Pulses & Grains","Production",2.511333333333333,null,"Latin America and the Caribbean","Carrots","Processing",5.55,null,null,null,null,null,null,"North America and Oceania","Milk","(blank)",7.7499999999999999E-2]
[null,"Colombia",0,"Storage",3.1,null,"Guyana","Fruits",0,11,null,"Latin America and the Caribbean","Cassava",0,25.25,null,null,null,null,null,null,"North America and Oceania","Milk","Processing",1.2E-2]
[null,"Colombia",0,"Retail",3,null,"Guyana","Fruits","Processing",12.5,null,"Latin America and the Caribbean","Cassava",null,30,null,null,null,null,null,null,"North America and Oceania","Milk","Retail",5.0000000000000001E-3]
[null,"Costa Rica","Tomatoes",0,2,null,"Guyana","Fruits","Retail",5,null,"Latin America and the Caribbean","Cocoa",null,30,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses",null,4.3999999999999997E-2]
[null,"Costa Rica","Tomatoes","Production",10,null,"Guyana","Tubers/Root Crops",0,23,null,"Latin America and the Caribbean","Eggs",0,37.659999999999997,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Production",0.12]
[null,"Costa Rica","Tomatoes","Retail",7.5,null,"Haiti","Fruits",0,50,null,"Latin America and the Caribbean","Grapes",0,20.166,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Storage",0]
[null,"Cuba","Bananas","Processing",8.69,null,"Haiti","Fruits","Production",50,null,"Latin America and the Caribbean","Maize",0,2.2839999999999998,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Transport",0]
[null,"Cuba","Carrots","Processing",5.55,null,"Haiti","Fruits","Processing",20,null,"Latin America and the Caribbean","Maize","Storage",23.400000000000002,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","(blank)",0.02]
[null,"Cuba","Maize",0,6.8550000000000004,null,"Honduras","Pulses & Grains",0,0.76500000000000001,null,"Latin America and the Caribbean","Maize","Production",12.276666666666666,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Processing",0.05]
[null,"Cuba","Mangoes","Processing",2.89,null,"Honduras","Pulses & Grains","Production",13.344999999999999,null,"Latin America and the Caribbean","Maize",null,14.799999999999999,null,null,null,null,null,null,"North America and Oceania","Oilseeds and pulses","Retail",0.01]
[null,"Cuba","Potatoes",0,2.125,null,"Honduras","Pulses & Grains","Processing",3.7450000000000001,null,"Latin America and the Caribbean","Maize","Processing",3.4,null,null,null,null,null,null,"North America and Oceania","Roots and tubers",null,0.16400000000000001]
[null,"Cuba","Sweet Potatoes",0,4.4950000000000001,null,"Hungary","",0,2.2976923076923077,null,"Latin America and the Caribbean","Mangoes",0,15.335000000000001,null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Production",0.2]
[null,"Cuba","Tomatoes","Processing",4.2850000000000001,null,"Hungary","Nuts/Seeds",0,0.68899999999999983,null,"Latin America and the Caribbean","Mangoes","Production",50,null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Storage",7.8548566256633909E-2]
[null,"Cuba",0,0,1.01,null,"Hungary","Pulses & Grains",0,1.2721875,null,"Latin America and the Caribbean","Mangoes","Processing",13.978,null,null,null,null,null,null,"North America and Oceania","Roots and tubers","Transport",2.1451433743366111E-2]
[null,"Democratic People's Republic of Korea","Maize",0,17,null,"India",null,"Retail",7.08,null,"Latin America and the Caribbean","Peppers",0,16.411666666666665,null,null,null,null,null,null,"South and Southeast Asia","Cereals","Storage",4.9695337735112428E-2]
[null,"Democratic Republic of the Congo","Maize","Storage",2.6499999999999995,null,"India","Fruits",0,9.1856666666666662,null,"Latin America and the Caribbean","Potatoes","Processing",2.3600000000000003,null,null,null,null,null,null,"South and Southeast Asia","Fish and seafood",null,8.0399999999999999E-2]
[null,"Democratic Republic of the Congo","Sorghum",0,4.5499999999999989,null,"India","Nuts/Seeds","Storage",0.44,null,"Latin America and the Caribbean","Sorghum","Production",6,null,null,null,null,null,null,"South and Southeast Asia","Fish and seafood","Retail",0.15]
[null,"Denmark","Carrots",0,10,null,"India","Pulses & Grains","Transport",1.1112500000000001,null,"Latin America and the Caribbean","Tomatoes",0,15.062941176470591,null,null,null,null,null,null,"South and Southeast Asia","Fruits and vegetables","(blank)",0.08]
[null,"Denmark",0,0,18.318181818181817,null,"India","Tubers/Root Crops","Production",2.3136363636363635,null,"Latin America and the Caribbean","Wheat",0,1.6666666666666667,null,null,null,null,null,null,"South and Southeast Asia","Meat","Storage",9.8390342052313883E-4]
[null,"Denmark","Rye",0,3.02,null,"India","Mycoprotein","Transport",0.77,null,"Latin America and the Caribbean",0,"Processing",1.0866666666666664,null,null,null,null,null,null,"South and Southeast Asia","Milk","Production",3.5000000000000003E-2]
[null,"Ecuador","Potatoes","Production",10.465,null,"Indonesia","Pulses & Grains","Production",7.4957142857142856,null,"Latin America and the Caribbean","Beans","Storage",5.4,null,null,null,null,null,null,"South and Southeast Asia","Milk","Retail",0.1]
[null,"Egypt","Grapes",0,28,null,"Iran (Islamic Republic of)","Pulses & Grains","Storage",0.15,null,"Latin America and the Caribbean","Pineapples",null,30,null,null,null,null,null,null,"South and Southeast Asia","Oilseeds and pulses","Processing",0.08]
[null,"Egypt","Sesame seed",0,8.5740000000000016,null,"Jamaica","",0,23.696666666666662,null,"Latin America and the Caribbean","Avocadoes","Processing",1.93,null,null,null,null,null,null,"South and Southeast Asia","Roots and tubers","Transport",4.0757724112395609E-2]
[null,"Egypt","Tomatoes",0,43,null,"Japan","Pulses & Grains",0,1.5493333333333332,null,"Western Asia","Apples","Processing",6,null,null,null,null,null,null,"Sub-Saharan Africa","Cereals","Production",0.06]
[null,"Egypt","Wheat","Production",14,null,"Japan","Tubers/Root Crops",0,4.1966666666666663,null,"Western Asia","Barley",0,7.4811764705882355,null,null,null,null,null,null,"Sub-Saharan Africa","Cereals","Storage",5.6794671697271343E-2]
[null,"El Salvador","Rice","Production",6,null,"Jordan","Pulses & Grains","Transport",0.28999999999999998,null,"Western Asia","Maize",0,5.0537037037037047,null,null,null,null,null,null,"Sub-Saharan Africa","Fish and seafood",null,7.5399999999999995E-2]
[null,"Eritrea","Maize",0,6.4200000000000008,null,"Kazakhstan","Pulses & Grains",0,2.3480000000000003,null,"Western Asia","Meat (Chicken)",0,1.825,null,null,null,null,null,null,"Sub-Saharan Africa","Fish and seafood","Processing",0.09]
[null,"Eritrea","Millet",0,3.5,null,"Kenya",null,"Production",6,null,"Western Asia","Rice",0,6.9279999999999999,null,null,null,null,null,null,"Sub-Saharan Africa","Fruits and vegetables","(blank)",7.0000000000000007E-2]
[null,"Estonia","Rye",0,1.1100000000000001,null,"Kenya","Fruits","Processing",14.125,null,"Western Asia","Wheat",0,7.9873913043478266,null,null,null,null,null,null,"Sub-Saharan Africa","Meat","Storage",2.2957746478873241E-3]
[null,"Ethiopia","Barley","Transport",1,null,"Kenya","Pulses & Grains",null,15.15,null,"Western Asia",0,"Production",14,null,null,null,null,null,null,"Sub-Saharan Africa","Milk","Production",0.06]
[null,"Ethiopia","Maize","Storage",3.8107142857142846,null,"Kenya","Tubers/Root Crops","Production",14.2,null,"Southern Asia","Apples",0,8.1516666666666655,null,null,null,null,null,null,"Sub-Saharan Africa","Milk","Retail",0.1]
[null,"Ethiopia","Rice","Storage",2.6499999999999995,null,"Latvia","Tubers/Root Crops",0,0.71499999999999997,null,"Southern Asia","Bananas","Storage",0.68799999999999994,null,null,null,null,null,null,"Sub-Saharan Africa","Oilseeds and pulses","(blank)",4.4999999999999998E-2]
[null,"Ethiopia","Tomatoes",0,17,null,"Liberia","Pulses & Grains","Production",1.8643181818181815,null,"Southern Asia","Cashew nuts","Storage",0.11333333333333334,null,null,null,null,null,null,"Sub-Saharan Africa","Roots and tubers","Transport",3.8612580738058996E-2]
[null,"Ethiopia",0,"Storage",4.0999999999999996,null,"Madagascar","",0,1.5,null,"Southern Asia","Eggs","Storage",1.1550000000000002]
[null,"Ethiopia","Millet","Storage",2.6499999999999995,null,"Malawi",null,"Transport",14,null,"Southern Asia","Grapes","Production",2.456]
[null,"Fiji","Rice",0,14.9975,null,"Malawi","Pulses & Grains","Production",2.8625757575757591,null,"Southern Asia","Maize","Transport",0.58499999999999996]
[null,"Fiji",0,0,3.3768749999999996,null,"Mali","Nuts/Seeds",0,9.57,null,"Southern Asia","Mangoes","Transport",3.25]
[null,"France","Barley",0,0.82750000000000001,null,"Mali","Pulses & Grains",0,6.4208695652173926,null,"Southern Asia","Mangoes","Production",3.9864285714285712]
[null,"France","Sorghum",0,0.73499999999999999,null,"Mauritius","",0,5.8999999999999995,null,"Southern Asia","Meat (Chicken)",0,1.0528571428571429]
[null,"France","Oats",0,0.47499999999999998,null,"Mexico","",0,26.336916666666664,null,"Southern Asia","Oranges",0,10.124545454545455]
[null,"Gambia","Rice","Production",2.0225000000000004,null,"Mexico","Pulses & Grains",null,4.4000000000000004,null,"Southern Asia","Peppers","Production",0.25]
[null,"Gambia","Millet",0,3.5,null,"Mozambique","Pulses & Grains","Storage",1.6374999999999991,null,"Southern Asia","Potatoes",null,24]
[null,"Germany","Barley",0,2.5422222222222222,null,"Namibia","Pulses & Grains",0,3.2800000000000007,null,"Southern Asia","Rice","Retail",0.28750000000000003]
[null,"Germany",0,0,1.954,null,"Nepal",null,"Storage",22.55,null,"Southern Asia","Soybeans","Storage",0.49333333333333335]
[null,"Germany","Peas (dry)",0,1.95,null,"Nepal","Pulses & Grains",0,2.2399999999999998,null,"Southern Asia","Sunflower seeds",0,2.97]
[null,"Ghana","Cassava","Retail",20,null,"Netherlands","Pulses & Grains",0,1.4033333333333331,null,"Southern Asia","Tomatoes","Production",9.4476923076923072]
[null,"Ghana","Maize","Retail",4.8,null,"Niger","Pulses & Grains","Production",2.3711688311688301,null,"Southern Asia","Wheat","Storage",2.632307692307692]
[null,"Ghana","Mangoes","Retail",6.75,null,"Nigeria",null,"Processing",11.533333333333333,null,"Southern Asia",0,"Transport",2.4273333333333329]
[null,"Ghana","Peppers","Retail",13.1,null,"Nigeria","Pulses & Grains","Storage",4.8647058823529417,null,"Southern Asia","#N/A","Storage",1.4874999999999998]
[null,"Ghana","Sorghum",0,4.2374999999999989,null,"Nigeria","Tubers/Root Crops","Storage",6.7460000000000004,null,"Southern Asia","Beans",0,2.6777777777777776]
[null,"Ghana","Sorghum","Production",2.8194117647058818,null,"Nigeria","Tubers/Root Crops","Transport",2.1399999999999997,null,"Southern Asia","Beans",null,20]
[null,"Ghana","Tomatoes","Retail",23.587499999999999,null,"Nigeria","Vegetables ","Transport",12.5,null,"Southern Asia","Millet","Production",1.26]
[null,"Ghana",0,"Processing",3.3666666666666667,null,"Norway",null,null,1.6,null,"Southern Asia","Mushrooms","Storage",1.4566666666666668]
[null,"Ghana","Pineapples",0,27.15,null,"Norway","Tubers/Root Crops","Production",2.9000000000000004,null,"Southern Asia","Chick-peas","Production",1.004]
[null,"Ghana","Peanuts","Processing",1.5,null,"Pakistan","Fruits","Storage",3.4888888888888889,null,"Eastern Asia","Barley","Transport",15]
[null,"Guatemala","Meat (Chicken)",0,9.89,null,"Pakistan","Pulses & Grains","Transport",0.24,null,"Eastern Asia","Maize","Transport",15]
[null,"Guatemala","Tomatoes",0,11.9,null,"Panama","Fruits",0,8.7557142857142853,null,"Eastern Asia","Meat (Cattle)","Production",1.75]
[null,"Guatemala","Pineapples",0,19.381999999999998,null,"Panama","Tubers/Root Crops",null,24,null,"Eastern Asia","Rice",0,10.7875]
[null,"Guinea","Rice","Production",2.0225000000000004,null,"Peru","Tubers/Root Crops","Processing",2.27,null,"Eastern Asia","Sweet Potatoes",0,1.1877777777777778]
[null,"Guinea-Bissau","Maize",0,6.4200000000000008,null,"Philippines","Pulses & Grains","Storage",8,null,"Eastern Asia","Wheat","Processing",15]
[null,"Guinea-Bissau","Sorghum","Production",2.8199999999999994,null,"Poland","Pulses & Grains",0,4.4929032258064519,null,"Eastern Asia","Meat (Pigs)",0,3.8987500000000002]
[null,"Guyana","Mangoes",0,15,null,"Republic of Korea","Pulses & Grains","Processing",14.25,null,"Northern Europe","Apples","Retail",2.5]
[null,"Haiti","Mangoes",0,50,null,"Russian Federation","Animal Protein",0,0.16375000000000001,null,"Northern Europe","Barley",0,1.9793877551020407]
[null,"Haiti","Mangoes","Production",50,null,"Russian Federation","Tubers/Root Crops",0,5.6455555555555561,null,"Northern Europe","Carrots",0,16.823076923076918]
[null,"Honduras","Beans",0,1.06,null,"Rwanda","Pulses & Grains",0,5.2117777777777796,null,"Northern Europe","Meat (Cattle)",0,8]
[null,"Hungary","Potatoes",0,3.4050000000000002,null,"Saint Lucia","Fruits",null,30,null,"Northern Europe","Potatoes","Storage",4]
[null,"Hungary",0,0,2.2976923076923077,null,"Saudi Arabia","Fruits",0,18.75,null,"Northern Europe","Tomatoes","Production",5.666666666666667]
[null,"Hungary","Buckwheat",0,0.71750000000000003,null,"Senegal",null,"Transport",1,null,"Northern Europe",0,0,10.297464788732395]
[null,"India","Bananas","Transport",1.91,null,"Serbia","",0,0.54333333333333345,null,"Northern Europe",0,"Retail",2.5466666666666669]
[null,"India","Cashew nuts","Storage",0.11333333333333334,null,"Sierra Leone","Pulses & Grains","Storage",2.8391304347826081,null,"Northern Europe","Lettuce","Retail",2]
[null,"India","Eggs","Production",1.5099999999999998,null,"Somalia","Pulses & Grains","Transport",1.3249999999999995,null,"Northern Europe","Avocadoes","Storage",5]
[null,"India","Maize",0,3.6685714285714286,null,"South Africa",null,"Processing",31.6,null,"Northern Europe","Peas (dry)","Production",17.850000000000001]
[null,"India","Mangoes","Transport",3.25,null,"South Africa","Pulses & Grains","Transport",1,null,"Western Europe","Maize",0,2.3275000000000001]
[null,"India","Meat (Cattle)","Storage",0.36,null,"South Sudan","Pulses & Grains","Production",2.855,null,"Western Europe","Rice",0,1.1066666666666667]
[null,"India","Peppers",0,0.82499999999999996,null,"Sweden","",0,11.988235294117647,null,"Western Europe",0,0,3.4699999999999998]
[null,"India","Potatoes","Storage",0.26166666666666666,null,"Sweden","Animal Protein",0,1.96,null,"Western Europe","Peas (dry)",0,2.56]
[null,"India","Potatoes","Production",2.5960000000000001,null,"Sweden","Pulses & Grains",0,9.7727272727272734,null,"Melanesia","Cassava",0,2]
[null,"India","Sorghum",0,4.8144444444444439,null,"Sweden","Tubers/Root Crops","Production",33.5,null,"Melanesia","Tomatoes",0,8.5625]
[null,"India","Soybeans","Production",1.6299999999999997,null,"Switzerland","Tubers/Root Crops","Production",4.4999999999999998E-2,null,"Southern Europe","Barley",0,2]
[null,"India","Sunflower seeds","Production",0.85428571428571431,null,"Thailand",null,"Transport",0.01,null,"Southern Europe","Wheat",0,2]
[null,"India","Tomatoes","Retail",12.45,null,"Thailand","Tubers/Root Crops",0,1.5,null,"Central Asia","Grapes",0,0.98399999999999999]
[null,"India",0,"Transport",0.81499999999999984,null,"Timor-Leste","Pulses & Grains",0,4.833333333333333,null,"Central Asia","Potatoes","Processing",4]
[null,"India","#N/A","Storage",1.4874999999999998,null,"Togo",null,"Production",2.1999999999999997,null,"Central Asia","Buckwheat",0,4.29]
[null,"India","Millet","Storage",0.26333333333333336,null,"Trinidad and Tobago","Fruits",null,29.5,null,"Australia and New Zealand","Peppers",0,26]
[null,"India","Chick-peas",0,6.8087499999999999,null,"Turkey",null,"Production",14,null,"Australia and New Zealand",0,"Production",10.333333333333334]
[null,"Indonesia","Cassava",0,2.44,null,"Turkey","Animal Protein","Processing",5,null,"Australia and New Zealand","Lettuce","Processing",11.666666666666666]
[null,"Indonesia","Rice","Processing",10,null,"Uganda","Nuts/Seeds","Production",5]
[null,"Iran (Islamic Republic of)","Wheat","Storage",0.15,null,"Ukraine","",0,5.0524999999999993]
[null,"Ireland","Oats",0,2.2050000000000001,null,"Ukraine","Fruits",0,13.3]
[null,"Israel",0,0,2.6799999999999997,null,"Ukraine","Fruits","Production",10.625]
[null,"Japan","Eggs",0,2.0300000000000002,null,"Ukraine","Tubers/Root Crops",0,12.846]
[null,"Japan","Soybeans",0,1.8825000000000001,null,"United Republic of Tanzania",null,"Storage",7.3]
[null,"Jordan","Meat (Chicken)","Production",5,null,"United Republic of Tanzania","Nuts/Seeds","Processing",15.130000000000003]
[null,"Kazakhstan","Eggs",0,11.92,null,"United Republic of Tanzania","Pulses & Grains","Processing",10.356666666666667]
[null,"Kazakhstan","Sunflower seeds",0,2.7085714285714291,null,"United States of America",null,"Processing",8]
[null,"Kazakhstan","Peas (dry)",0,3.2675000000000001,null,"United States of America","Tubers/Root Crops","Retail",44.366666666666667]
[null,"Kenya","Bananas","Retail",4.0333333333333341,null,"Uzbekistan","Animal Protein",0,0.2]
[null,"Kenya","Maize","Transport",1.65,null,"Venezuela (Bolivarian Republic of)","Fruits",0,18.200833333333332]
[null,"Kenya","Mangoes",0,16.125,null,"Viet Nam",null,"Processing",2.75]
[null,"Kenya","Potatoes","Storage",13.491666666666667,null,"Viet Nam","Tubers/Root Crops","Retail",1]
[null,"Kenya","Rice","Storage",2.6499999999999995,null,"Zimbabwe","Pulses & Grains","Storage",2.6500000000000008]
[null,"Kenya","Sorghum","Production",2.016060606060607,null,"Western Africa","Pulses & Grains","Processing",3.75]
[null,"Kenya","Wheat","Production",2.2080000000000002,null,"Western Asia",null,"Production",13.5]
[null,"Kenya",0,0,0.375,null,"Western Asia",null,"Processing",20]
[null,"Kenya","Millet","Transport",1,null,"Europe","Animal Protein","Processing",2.2333333333333334]
[null,"Latvia","Wheat",0,0.3033333333333334,null,"Sub-Saharan Africa","Pulses & Grains",0,5.8250000000000002]
[null,"Lesotho","Maize","Storage",2.6499999999999995,null,"Finland","",0,14]
[null,"Lesotho","Wheat","Production",2.9199999999999995,null,"Finland","Pulses & Grains",0,7.6566666666666663]
[null,"Lithuania",0,0,5.0463636363636359,null,"Southern Asia",null,"Production",12]
[null,"Madagascar","Maize",0,1.5,null,"Australia","",0,22.555555555555557]
[null,"Madagascar","Sorghum","Transport",2.5,null,"Australia","Pulses & Grains",0,25]
[null,"Malawi","Maize",0,8.0738461538461515,null,"Australia","Vegetables ","Production",6]
[null,"Malawi","Rice","Transport",1,null,"Latin America and the Caribbean","",0,11]
[null,"Malawi","Sorghum","Production",2.604285714285715,null,"Australia and New Zealand","",0,42]
[null,"Malawi",0,"Transport",14,null,"Eswatini","Pulses & Grains","Transport",1.65]
[null,"Malawi","Millet","Storage",2.6499999999999995,null,"United Kingdom of Great Britain and Northern Ireland",null,null,2.25]
[null,"Malawi","Millet","Production",1.9222727272727271,null,"United Kingdom of Great Britain and Northern Ireland",null,"Processing",2.6666666666666665]
[null,"Mali","Potatoes",0,40.683333333333337,null,"United Kingdom of Great Britain and Northern Ireland","Fruits","Processing",3.6666666666666665]
[null,"Mali","Sweet Potatoes",0,16.346666666666668,null,"United Kingdom of Great Britain and Northern Ireland","Tubers/Root Crops","Retail",2.25]
[null,"Mali","Millet",0,6.2542857142857136,null,"United Kingdom of Great Britain and Northern Ireland","Vegetables ","Retail",2]
[null,"Mauritania","Rice","Production",1.7475000000000001]
[null,"Mauritania","Millet","Production",1.8766666666666669]
[null,"Mauritius","Tomatoes",0,3.3049999999999997]
[null,"Mexico","Barley",0,15]
[null,"Mexico","Maize","Storage",7.7]
[null,"Mexico","Milk (cattle)",0,37.14]
[null,"Mexico","Soybeans",0,1.7]
[null,"Mexico","Garlic (green)",0,21.35]
[null,"Mexico","Pineapples",0,21.34]
[null,"Mexico","Lemons",0,17.015000000000001]
[null,"Mozambique","Maize",0,6.206363636363637]
[null,"Mozambique","Rice","Storage",1.3000000000000003]
[null,"Mozambique","Sorghum","Production",2.9221212121212128]
[null,"Namibia","Maize",0,5.0900000000000007]
[null,"Namibia","Sorghum","Storage",1.3000000000000003]
[null,"Nepal","Maize",0,2.48]
[null,"Nepal","Rice","Transport",0.32]
[null,"Nepal","Wheat","Storage",5.92]
[null,"Nepal",0,"Retail",1]
[null,"New Caledonia","Wheat",0,0.94666666666666677]
[null,"Niger","Maize","Production",3.1461363636363631]
[null,"Niger","Sorghum","Production",2.7466666666666661]
[null,"Niger","Millet",0,3.5]
[null,"Nigeria","Cassava","Storage",6.7460000000000004]
[null,"Nigeria","Maize","Storage",6.2808333333333337]
[null,"Nigeria","Peppers","Production",10]
[null,"Nigeria","Rice","Processing",2.2349999999999999]
[null,"Nigeria","Tomatoes","Production",20]
[null,"Nigeria",0,"Processing",11.533333333333333]
[null,"Norway","Carrots","Storage",1.6]
[null,"Norway",0,"Storage",13.25]
[null,"Pakistan","Grapes",0,4.8]
[null,"Pakistan","Mangoes","Production",5]
[null,"Pakistan",0,0,9.4579999999999984]
[null,"Panama","Maize",0,2.0085714285714289]
[null,"Panama","Maize",null,20]
[null,"Panama","Oranges",0,14.667499999999999]
[null,"Panama","Sugar cane",0,0.97666666666666668]
[null,"Panama","Lettuce",0,33.527499999999996]
[null,"Panama","Pineapples",0,7.6971428571428584]
[null,"Peru","Wheat",null,20]
[null,"Philippines","Rice","Production",4.5]
[null,"Poland","Barley",0,3.048]
[null,"Poland","Beans",0,4.17]
[null,"Republic of Korea","Barley","Transport",15]
[null,"Republic of Korea","Maize","Storage",13]
[null,"Republic of Korea","Rice","Storage",15]
[null,"Republic of Korea","Wheat","Storage",12.5]
[null,"Republic of Korea","Wheat","Production",8]
[null,"Romania","Rice",0,9.9024999999999999]
[null,"Romania","Beans",0,0.02]
[null,"Rwanda","Bananas",0,15.05]
[null,"Rwanda","Maize","Storage",6.0035714285714317]
[null,"Rwanda","Sorghum",0,4.171666666666666]
[null,"Rwanda","Wheat",0,4.43]
[null,"Rwanda","Pineapples",0,11.5]
[null,"Saint Lucia","Mangoes",0,8]
[null,"Saint Lucia","Tomatoes","Retail",5]
[null,"Saudi Arabia","Tomatoes",0,23]
[null,"Senegal","Maize","Production",3.0993181818181812]
[null,"Senegal","Sorghum",0,5.3654545454545444]
[null,"Senegal","Sorghum","Transport",1]
[null,"Senegal",0,"Storage",2.6499999999999995]
[null,"Senegal","Millet","Production",1.3395454545454542]
[null,"Sierra Leone","Maize",0,11.191818181818181]
[null,"Sierra Leone","Rice","Transport",1]
[null,"Somalia","Maize","Production",2.3484090909090911]
[null,"Somalia","Sorghum","Storage",2.6499999999999995]
[null,"South Africa","Maize",0,4.4854545454545454]
[null,"South Africa","Sorghum",0,2.75]
[null,"South Africa","Wheat","Storage",1.3000000000000003]
[null,"South Africa",0,"Production",9]
[null,"South Sudan","Maize","Production",2.855]
[null,"Sudan","Rice",0,10.75]
[null,"Sudan","Sorghum",0,4.2715384615384613]
[null,"Sudan","Millet","Production",1.8766666666666669]
[null,"Sweden","Carrots","Processing",16.5]
[null,"Sweden",0,"Storage",17]
[null,"Sweden","Peas (dry)",0,4]
[null,"Switzerland","Potatoes","Processing",8.0000000000000002E-3]
[null,"Syrian Arab Republic","Barley",0,15]
[null,"Syrian Arab Republic","Wheat","Storage",15]
[null,"Thailand","Rice","Production",10]
[null,"The former Yugoslav Republic of Macedonia","Barley",0,2]
[null,"The former Yugoslav Republic of Macedonia","Rye",0,1.3933333333333333]
[null,"Timor-Leste","Rice","Transport",1]
[null,"Togo","Maize","Production",3.5943181818181813]
[null,"Togo","Rice",0,7.6750000000000034]
[null,"Togo",0,"Production",2.1999999999999997]
[null,"Trinidad and Tobago","Mangoes",0,5]
[null,"Trinidad and Tobago","Tomatoes","Retail",12]
[null,"Turkey","Meat (Chicken)","Transport",3.1500000000000004]
[null,"Uganda","Barley","Storage",2.6499999999999995]
[null,"Uganda","Maize","Production",3.3623913043478253]
[null,"Uganda","Rice","Production",2.1452777777777778]
[null,"Uganda","Sunflower seeds","Storage",35]
[null,"Uganda","Wheat","Production",3]
[null,"Uganda","Millet","Storage",2.6499999999999995]
[null,"Ukraine","Maize",0,2.9766666666666666]
[null,"Ukraine","Potatoes","Processing",4.5]
[null,"Ukraine","Rice",0,1.9533333333333334]
[null,"Ukraine",0,0,5.0524999999999993]
[null,"Ukraine","Millet",0,1.3166666666666667]
[null,"United Republic of Tanzania","Maize","Transport",2.5]
[null,"United Republic of Tanzania","Mangoes",0,20.587499999999999]
[null,"United Republic of Tanzania","Rice","Processing",3.5]
[null,"United Republic of Tanzania","Sunflower seeds","Processing",20.005000000000003]
[null,"United Republic of Tanzania",0,"Transport",2.5]
[null,"United Republic of Tanzania","Millet",0,3.3333333333333335]
[null,"United States of America","Apples","Retail",19.2]
[null,"United States of America","Grapes",0,9]
[null,"United States of America","Potatoes",0,4.8037499999999991]
[null,"United States of America",0,"Production",2]
[null,"United States of America",0,"Processing",8]
[null,"United States of America","Garlic (green)","Retail",5.0999999999999996]
[null,"United States of America","Mushrooms",0,6]
[null,"Uzbekistan","Potatoes",0,0.98799999999999988]
[null,"Venezuela (Bolivarian Republic of)","Oranges",0,9.99]
[null,"Venezuela (Bolivarian Republic of)","Wheat",0,2]
[null,"Venezuela (Bolivarian Republic of)","Avocadoes",0,12.39]
[null,"Viet Nam","Cassava","Retail",1]
[null,"Zambia","Barley","Transport",1]
[null,"Zambia","Maize","Storage",2.5708333333333324]
[null,"Zambia","Rice","Production",1.8936363636363638]
[null,"Zambia","Wheat","Transport",1]
[null,"Zambia","Millet","Storage",2.5954545454545457]
[null,"Zimbabwe","Maize","Production",3.6313636363636359]
[null,"Zimbabwe","Sorghum",0,4.5499999999999989]
[null,"Zimbabwe","Millet","Transport",1]
[null,"Central Asia",0,0,13.5]
[null,"Western Asia",0,"Processing",20]
[null,"Europe","Eggs","Processing",0.5]
[null,"Africa","Maize",0,30]
[null,"Sub-Saharan Africa","Wheat","Storage",4]
[null,"Northern America",0,"Production",2]
[null,"Finland","Eggs",0,7]
[null,"Finland","Potatoes",0,19]
[null,"Finland",0,"Processing",3]
[null,"Finland","Peas (dry)",0,4.8499999999999996]
[null,"South-Eastern Asia",0,0,8.5]
[null,"South-Eastern Asia",0,"Production",12]
[null,"Australia","Peppers",0,26]
[null,"Australia",0,0,22.555555555555557]
[null,"Australia","Lettuce","Processing",11.666666666666666]
[null,"Australia","Beans",0,25]
[null,"CÃ´te d'Ivoire","Maize",0,6.4200000000000008]
[null,"CÃ´te d'Ivoire","Maize","Production",3.2324999999999999]
[null,"CÃ´te d'Ivoire","Rice",0,4.3999999999999995]
[null,"CÃ´te d'Ivoire","Rice","Production",2.0225000000000004]
[null,"CÃ´te d'Ivoire","Sorghum",0,4.5499999999999989]
[null,"CÃ´te d'Ivoire","Sorghum","Production",2.82]
[null,"CÃ´te d'Ivoire",0,0,35]
[null,"CÃ´te d'Ivoire","Millet",0,3.5]
[null,"CÃ´te d'Ivoire","Millet","Production",2.0450000000000004]
[null,"Latin America and the Caribbean",0,0,11]
[null,"Latin America and the Caribbean",0,"Production",15]
[null,"Latin America and the Caribbean",0,"Processing",20]
[null,"Mongolia","Barley",0,0.67666666666666675]
[null,"Mongolia","Potatoes",0,0.62666666666666659]
[null,"Mongolia","Wheat",0,1.2566666666666666]
[null,"Mongolia",0,0,1.97]
[null,"Mongolia","Oats",0,1.4866666666666666]
[null,"Australia and New Zealand",0,0,42]
[null,"Paraguay",0,"Storage",11.75]
[null,"Saint Kitts and Nevis",0,0,30]
[null,"Eswatini","Maize",0,6.4200000000000008]
[null,"Eswatini","Maize","Transport",1.65]
[null,"Eswatini","Maize","Storage",2.6499999999999995]
[null,"Eswatini","Maize","Production",2.6840909090909086]
[null,"United Kingdom of Great Britain and Northern Ireland","Apples",0,16.25]
[null,"United Kingdom of Great Britain and Northern Ireland","Apples","Storage",3.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Apples","Production",15]
[null,"United Kingdom of Great Britain and Northern Ireland","Apples","Processing",5.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Apples","Retail",2.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Bananas",0,2]
[null,"United Kingdom of Great Britain and Northern Ireland","Bananas","Production",3]
[null,"United Kingdom of Great Britain and Northern Ireland","Bananas","Processing",1.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Bananas","Retail",2]
[null,"United Kingdom of Great Britain and Northern Ireland","Carrots",0,40]
[null,"United Kingdom of Great Britain and Northern Ireland","Potatoes",0,17.666666666666668]
[null,"United Kingdom of Great Britain and Northern Ireland","Potatoes","Storage",4]
[null,"United Kingdom of Great Britain and Northern Ireland","Potatoes","Production",5]
[null,"United Kingdom of Great Britain and Northern Ireland","Potatoes","Processing",22.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Potatoes","Retail",2.25]
[null,"United Kingdom of Great Britain and Northern Ireland","Tomatoes",0,5.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Tomatoes","Production",5.666666666666667]
[null,"United Kingdom of Great Britain and Northern Ireland","Tomatoes","Processing",4]
[null,"United Kingdom of Great Britain and Northern Ireland","Tomatoes","Retail",2.75]
[null,"United Kingdom of Great Britain and Northern Ireland",0,0,7.6000000000000005]
[null,"United Kingdom of Great Britain and Northern Ireland",0,"Storage",2.9]
[null,"United Kingdom of Great Britain and Northern Ireland",0,"Production",4.791666666666667]
[null,"United Kingdom of Great Britain and Northern Ireland",0,null,0.75]
[null,"United Kingdom of Great Britain and Northern Ireland",0,"Processing",2.5]
[null,"United Kingdom of Great Britain and Northern Ireland",0,"Retail",2.3714285714285714]
[null,"United Kingdom of Great Britain and Northern Ireland","Lettuce",0,15.666666666666666]
[null,"United Kingdom of Great Britain and Northern Ireland","Lettuce","Storage",1.25]
[null,"United Kingdom of Great Britain and Northern Ireland","Lettuce","Production",7.5]
[null,"United Kingdom of Great Britain and Northern Ireland","Lettuce","Processing",1]
[null,"United Kingdom of Great Britain and Northern Ireland","Lettuce","Retail",2]
[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]

{"sheet":"Custom Loss Rates","index":10,"n_rows":32,"n_cols":8,"rows_kept":32,"cut":false,"hidden":true,"merged":[[2,1,2,2]]}
[]
[null,"Food losses 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.\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,"Concat\n(do not edit)","Country/Region name","Commodity\n(drop-down)","Supply Chain Stage\n(drop-down)","Loss rate","Source","Notes"]
[null,{"$f":"LossRateUserDatabase[[#This Row],[Country/Region name]]&LossRateUserDatabase[[#This Row],[Commodity\n(drop-down)]]&LossRateUserDatabase[[#This Row],[Supply Chain Stage\n(drop-down)]]","v":"AfricaSweet PotatoesTransport"},"Africa","Sweet Potatoes","Transport",0.3352,"link","Average of upper and lower bound reported in the study"]
[null,{"$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":11,"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":"WB dataset","index":12,"n_rows":125,"n_cols":26,"rows_kept":125,"cut":false,"hidden":true,"merged":[[6,18,6,24]]}
[]
[null,"WB solid waste management database"]
[null,"Source:","https://datacatalog.worldbank.org/search/dataset/0039597"]
[null,"Updated ",44672]
[null,"Notes:","Some country labels have been updated to match IFC classication - Check compatibility when refreshing the database"]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mapping to IPCC categories"]
[null,"Region","Country","Data Available (Yes/No)","Total MSW generated tons/year","Food/Organic waste (%)","Total food waste tons/year","Controlled Landfill (%)","Landfill unspecified (%)","Open Dump (%)","Sanitay Landfill/ Gas System (%)","Compost (%)","Incineration (%)","Recycling (%)","Unaccounted for (%)","Marine Waterways (%)","Other (%)",null,"Managed (without gas collection system)","Managed (with gas collection system)","Unmanaged deep >5m","Unmanaged shallow <5m","Uncategoriesd","Other productive use","Not relevant","Total relevant for Food Loss"]
[null,{"$f":"INDEX(Countries[Region],MATCH(Table180[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Angola",{"$f":"IF(SUM(Table180[[#This Row],[Controlled Landfill (%)]:[Other (%)]])=0,\"No\",\"Yes\")","v":"No"},4213643.585,51.8,{"$f":"Table180[[#This Row],[Total MSW generated tons/year]]*(Table180[[#This Row],[Food/Organic waste (%)]]/100)","v":2182667.3770300001},null,null,null,null,null,null,null,null,null,null,null,{"$f":"Table180[[#This Row],[Controlled Landfill (%)]]+Table180[[#This Row],[Sanitay Landfill/ Gas System (%)]]","v":0},0,0,{"$f":"Table180[[#This Row],[Open Dump (%)]]","v":0},{"$f":"Table180[[#This Row],[Unaccounted for (%)]]+Table180[[#This Row],[Other (%)]]+Table180[[#This Row],[Landfill unspecified (%)]]","v":0},{"$f":"Table180[[#This Row],[Compost (%)]]","v":0},{"$f":"Table180[[#This Row],[Incineration (%)]]+Table180[[#This Row],[Recycling (%)]]+Table180[[#This Row],[Marine Waterways (%)]]","v":0},{"$f":"SUM(S9:X9)","v":0}]
[null,{"$f":"INDEX(Countries[Region],MATCH(Table180[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Argentina",{"$f":"IF(SUM(Table180[[#This Row],[Controlled Landfill (%)]:[Other (%)]])=0,\"No\",\"Yes\")","v":"Yes"},17910550,38.74,{"$f":"Table180[[#This Row],[Total MSW generated tons/year]]*(Table180[[#This Row],[Food/Organic waste (%)]]/100)","v":6938547.0700000003},8.9,null,22.6,62.5,null,null,6,null,null,null,null,{"$f":"Table180[[#This Row],[Controlled Landfill (%)]]+Table180[[#This Row],[Sanitay Landfill/ Gas System (%)]]","v":71.400000000000006},0,0,{"$f":"Table180[[#This Row],[Open Dump (%)]]","v":22.6},{"$f":"Table180[[#This Row],[Unaccounted for (%)]]+Table180[[#This Row],[Other (%)]]+Table180[[#This Row],[Landfill unspecified (%)]]","v":0},{"$f":"Table180[[#This Row],[Compost (%)]]","v":0},{"$f":"Table180[[#This Row],[Incineration (%)]]+Table180[[#This Row],[Recycling (%)]]+Table180[[#This Row],[Marine Waterways (%)]]","v":6},94]
[null,{"$f":"INDEX(Countries[Region],MATCH(Table180[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Antigua and Barbuda",{"$f":"IF(SUM(Table180[[#This Row],[Controlled Landfill (%)]:[Other (%)]])=0,\"No\",\"Yes\")","v":"Yes"},30585,46,{"$f":"Table180[[#This Row],[Total MSW generated tons/year]]*(Table180[[#This Row],[Food/Organic waste (%)]]/100)","v":14069.1},98.68,null,null,null,0.08,null,null,1.1399999999999999,0.1,null,null,{"$f":"Table180[[#This Row],[Controlled Landfill (%)]]+Table180[[#This Row],[Sanitay Landfill/ Gas System (%)]]","v":98.68},0,0,{"$f":"Table180[[#This Row],[Open Dump (%)]]","v":0},{"$f":"Table180[[#This Row],[Unaccounted for (%)]]+Table180[[#This Row],[Other (%)]]+Table180[[#This Row],[Landfill unspecified (%)]]","v":1.1399999999999999},{"$f":"Table180[[#This Row],[Compost (%)]]","v":0.08},{"$f":"Table180[[#This Row],[Incineration (%)]]+Table180[[#This Row],[Recycling (%)]]+Table180[[#This Row],[Marine Waterways (%)]]","v":0.1},99.9]
[null,{"$f":"INDEX(Countries[Region],MATCH(Table180[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Burundi",{"$f":"IF(SUM(Table180[[#This Row],[Controlled Landfill (%)]:[Other (%)]])=0,\"No\",\"Yes\")","v":"No"},1872016,81,{"$f":"Table180[[#This Row],[Total MSW generated tons/year]]*(Table180[[#This Row],[Food/Organic waste (%)]]/100)","v":1516332.9600000002},null,null,null,null,null,null,null,null,null,null,null,{"$f":"Table180[[#This Row],[Controlled Landfill (%)]]+Table180[[#This Row],[Sanitay Landfill/ Gas System (%)]]","v":0},0,0,{"$f":"Table180[[#This Row],[Open Dump (%)]]","v":0},{"$f":"Table180[[#This Row],[Unaccounted for (%)]]+Table180[[#This Row],[Other (%)]]+Table180[[#This Row],[Landfill unspecified (%)]]","v":0},{"$f":"Table180[[#This Row],[Compost (%)]]","v":0},{"$f":"Table180[[#This Row],[Incineration (%)]]+Table180[[#This Row],[Recycling (%)]]+Table180[[#This Row],[Marine Waterways (%)]]","v":0},0]
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[null,{"$f":"INDEX(Countries[Region],MATCH(Table180[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Yemen",{"$f":"IF(SUM(Table180[[#This Row],[Controlled Landfill (%)]:[Other (%)]])=0,\"No\",\"Yes\")","v":"Yes"},4836820,65,{"$f":"Table180[[#This Row],[Total MSW generated tons/year]]*(Table180[[#This Row],[Food/Organic waste (%)]]/100)","v":3143933},12,null,25,null,null,null,8,47,8,null,null,{"$f":"Table180[[#This Row],[Controlled Landfill (%)]]+Table180[[#This Row],[Sanitay Landfill/ Gas System (%)]]","v":12},0,0,{"$f":"Table180[[#This Row],[Open Dump (%)]]","v":25},{"$f":"Table180[[#This Row],[Unaccounted for (%)]]+Table180[[#This Row],[Other (%)]]+Table180[[#This Row],[Landfill unspecified (%)]]","v":47},{"$f":"Table180[[#This Row],[Compost (%)]]","v":0},{"$f":"Table180[[#This Row],[Incineration (%)]]+Table180[[#This Row],[Recycling (%)]]+Table180[[#This Row],[Marine Waterways (%)]]","v":16},84]
[null,{"$f":"INDEX(Countries[Region],MATCH(Table180[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"South Africa",{"$f":"IF(SUM(Table180[[#This Row],[Controlled Landfill (%)]:[Other (%)]])=0,\"No\",\"Yes\")","v":"Yes"},18457232,16.381654627302701,{"$f":"Table180[[#This Row],[Total MSW generated tons/year]]*(Table180[[#This Row],[Food/Organic waste (%)]]/100)","v":3023599.9999999953},72,null,null,null,null,null,28,null,null,null,null,{"$f":"Table180[[#This Row],[Controlled Landfill (%)]]+Table180[[#This Row],[Sanitay Landfill/ Gas System (%)]]","v":72},0,0,{"$f":"Table180[[#This Row],[Open Dump (%)]]","v":0},{"$f":"Table180[[#This Row],[Unaccounted for (%)]]+Table180[[#This Row],[Other (%)]]+Table180[[#This Row],[Landfill unspecified (%)]]","v":0},{"$f":"Table180[[#This Row],[Compost (%)]]","v":0},{"$f":"Table180[[#This Row],[Incineration (%)]]+Table180[[#This Row],[Recycling (%)]]+Table180[[#This Row],[Marine Waterways (%)]]","v":28},72]
[null,{"$f":"INDEX(Countries[Region],MATCH(Table180[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Zambia",{"$f":"IF(SUM(Table180[[#This Row],[Controlled Landfill (%)]:[Other (%)]])=0,\"No\",\"Yes\")","v":"No"},2608268,null,{"$f":"Table180[[#This Row],[Total MSW generated tons/year]]*(Table180[[#This Row],[Food/Organic waste (%)]]/100)","v":0},null,null,null,null,null,null,null,null,null,null,null,{"$f":"Table180[[#This Row],[Controlled Landfill (%)]]+Table180[[#This Row],[Sanitay Landfill/ Gas System (%)]]","v":0},0,0,{"$f":"Table180[[#This Row],[Open Dump (%)]]","v":0},{"$f":"Table180[[#This Row],[Unaccounted for (%)]]+Table180[[#This Row],[Other (%)]]+Table180[[#This Row],[Landfill unspecified (%)]]","v":0},{"$f":"Table180[[#This Row],[Compost (%)]]","v":0},{"$f":"Table180[[#This Row],[Incineration (%)]]+Table180[[#This Row],[Recycling (%)]]+Table180[[#This Row],[Marine Waterways (%)]]","v":0},0]
[null,{"$f":"INDEX(Countries[Region],MATCH(Table180[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Zimbabwe",{"$f":"IF(SUM(Table180[[#This Row],[Controlled Landfill (%)]:[Other (%)]])=0,\"No\",\"Yes\")","v":"Yes"},1449752,36,{"$f":"Table180[[#This Row],[Total MSW generated tons/year]]*(Table180[[#This Row],[Food/Organic waste (%)]]/100)","v":521910.72},null,null,null,null,null,null,16,84,null,null,null,{"$f":"Table180[[#This Row],[Controlled Landfill (%)]]+Table180[[#This Row],[Sanitay Landfill/ Gas System (%)]]","v":0},0,0,{"$f":"Table180[[#This Row],[Open Dump (%)]]","v":0},{"$f":"Table180[[#This Row],[Unaccounted for (%)]]+Table180[[#This Row],[Other (%)]]+Table180[[#This Row],[Landfill unspecified (%)]]","v":84},{"$f":"Table180[[#This Row],[Compost (%)]]","v":0},{"$f":"Table180[[#This Row],[Incineration (%)]]+Table180[[#This Row],[Recycling (%)]]+Table180[[#This Row],[Marine Waterways (%)]]","v":16},84]
["Added to fill in gaps in WB dataset",{"$f":"INDEX(Countries[Region],MATCH(Table180[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Sao Tome and Principe",{"$f":"IF(SUM(Table180[[#This Row],[Controlled Landfill (%)]:[Other (%)]])=0,\"No\",\"Yes\")","v":"No"},null,null,{"$f":"Table180[[#This Row],[Total MSW generated tons/year]]*(Table180[[#This Row],[Food/Organic waste (%)]]/100)","v":0}]
["Added to fill in gaps in WB dataset",{"$f":"INDEX(Countries[Region],MATCH(Table180[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"United Republic of Tanzania",{"$f":"IF(SUM(Table180[[#This Row],[Controlled Landfill (%)]:[Other (%)]])=0,\"No\",\"Yes\")","v":"No"},null,null,{"$f":"Table180[[#This Row],[Total MSW generated tons/year]]*(Table180[[#This Row],[Food/Organic waste (%)]]/100)","v":0}]

{"sheet":"LF destination","index":13,"n_rows":146,"n_cols":12,"rows_kept":146,"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,"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,{"$f":"SUMPRODUCT(C19:H19,$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(C20:H20,$C$12:$H$12)","v":0.44734373044022591}]
[null,"Europe and Central Asia",0.12381473843153426,null,0,0.58236872852072452,0.29238796161916969,1.4285714285714286E-3,0.47371741448749194]
[null,"Latin America and Caribbean",0.59836755752378601,null,0,0.23586482833734748,0.16498130735017064,7.8630678869579689E-4,0.75870601179879327]
[null,"Middle East and North Africa",0.21335403726708074,null,0,0.51573498964803322,0.21749482401656314,5.3416149068322982E-2,0.50664596273291929]
[null,"South Asia",0.14085924137237146,null,0,0.25071010860484544,0.52757050691244234,8.086014311034069E-2,0.4521714875792866]
[null,"Grand Total",0.28128745128824495,null,0,0.2938762074912038,0.40937808595448205,1.5458255266069363E-2,0.56258916866651931]
[]
[]
[null,"% of solid waste by destination"]
[null,"Region","Country","Data Available (Yes/No)","Managed (without gas collection system)","Managed (with gas collection system)","Unmanaged deep (> 5m)","Unmanaged shallow (< 5m)","Uncategorised","Other productive use (compost, gas collection system, etc.)","Landfill rate","Landfill CH4 Correction Factor"]
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[null,{"$f":"'WB dataset'!B10","v":"Latin America and Caribbean"},{"$f":"'WB dataset'!C10","v":"Argentina"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF destination'!C31,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C31,Table180[Country],0)),INDEX(C$19:C$24,MATCH($B31,$B$19:$B$24,0)))","v":0.75957446808510642},0,{"$f":"IFERROR(INDEX(Table21[Unmanaged deep >5m],MATCH('LF destination'!C31,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C31,Table180[Country],0)),INDEX(D$19:D$24,MATCH($B31,$B$19:$B$24,0)))","v":0},{"$f":"IFERROR(INDEX(Table21[Unmanaged shallow <5m],MATCH('LF destination'!C31,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C31,Table180[Country],0)),INDEX(E$19:E$24,MATCH($B31,$B$19:$B$24,0)))","v":0.24042553191489363},{"$f":"IFERROR(INDEX(Table21[Uncategoriesd],MATCH('LF destination'!C31,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C31,Table180[Country],0)),INDEX(F$19:F$24,MATCH($B31,$B$19:$B$24,0)))","v":0},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF destination'!C31,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C31,Table180[Country],0)),INDEX(G$19:G$24,MATCH($B31,$B$19:$B$24,0)))","v":0},0.56999999999999995,0.85574468085106392]
[null,{"$f":"'WB dataset'!B11","v":"Latin America and Caribbean"},{"$f":"'WB dataset'!C11","v":"Antigua and Barbuda"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF destination'!C32,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C32,Table180[Country],0)),INDEX(C$19:C$24,MATCH($B32,$B$19:$B$24,0)))","v":0.98778778778778775},0,{"$f":"IFERROR(INDEX(Table21[Unmanaged deep >5m],MATCH('LF destination'!C32,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C32,Table180[Country],0)),INDEX(D$19:D$24,MATCH($B32,$B$19:$B$24,0)))","v":0},{"$f":"IFERROR(INDEX(Table21[Unmanaged shallow <5m],MATCH('LF destination'!C32,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C32,Table180[Country],0)),INDEX(E$19:E$24,MATCH($B32,$B$19:$B$24,0)))","v":0},{"$f":"IFERROR(INDEX(Table21[Uncategoriesd],MATCH('LF destination'!C32,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C32,Table180[Country],0)),INDEX(F$19:F$24,MATCH($B32,$B$19:$B$24,0)))","v":1.141141141141141E-2},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF destination'!C32,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C32,Table180[Country],0)),INDEX(G$19:G$24,MATCH($B32,$B$19:$B$24,0)))","v":8.0080080080080073E-4},0.56999999999999995,0.99235235235235231]
[null,{"$f":"'WB dataset'!B12","v":"Africa"},{"$f":"'WB dataset'!C12","v":"Burundi"},"No",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF destination'!C33,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C33,Table180[Country],0)),INDEX(C$19:C$24,MATCH($B33,$B$19:$B$24,0)))","v":0.11975808945984934},0,{"$f":"IFERROR(INDEX(Table21[Unmanaged deep >5m],MATCH('LF destination'!C33,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C33,Table180[Country],0)),INDEX(D$19:D$24,MATCH($B33,$B$19:$B$24,0)))","v":0},{"$f":"IFERROR(INDEX(Table21[Unmanaged shallow <5m],MATCH('LF destination'!C33,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C33,Table180[Country],0)),INDEX(E$19:E$24,MATCH($B33,$B$19:$B$24,0)))","v":0},{"$f":"IFERROR(INDEX(Table21[Uncategoriesd],MATCH('LF destination'!C33,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C33,Table180[Country],0)),INDEX(F$19:F$24,MATCH($B33,$B$19:$B$24,0)))","v":0.33991571624296335},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF destination'!C33,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C33,Table180[Country],0)),INDEX(G$19:G$24,MATCH($B33,$B$19:$B$24,0)))","v":0.53381267217630857},0.56999999999999995,0.25572437595703468]
[null,{"$f":"'WB dataset'!B13","v":"Africa"},{"$f":"'WB dataset'!C13","v":"Benin"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF destination'!C34,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C34,Table180[Country],0)),INDEX(C$19:C$24,MATCH($B34,$B$19:$B$24,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Unmanaged deep >5m],MATCH('LF destination'!C34,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C34,Table180[Country],0)),INDEX(D$19:D$24,MATCH($B34,$B$19:$B$24,0)))","v":0},{"$f":"IFERROR(INDEX(Table21[Unmanaged shallow <5m],MATCH('LF destination'!C34,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C34,Table180[Country],0)),INDEX(E$19:E$24,MATCH($B34,$B$19:$B$24,0)))","v":0},{"$f":"IFERROR(INDEX(Table21[Uncategoriesd],MATCH('LF destination'!C34,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C34,Table180[Country],0)),INDEX(F$19:F$24,MATCH($B34,$B$19:$B$24,0)))","v":1},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF destination'!C34,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C34,Table180[Country],0)),INDEX(G$19:G$24,MATCH($B34,$B$19:$B$24,0)))","v":0},0.56999999999999995,0.4]
[null,{"$f":"'WB dataset'!B14","v":"Africa"},{"$f":"'WB dataset'!C14","v":"Burkina Faso"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF destination'!C35,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C35,Table180[Country],0)),INDEX(C$19:C$24,MATCH($B35,$B$19:$B$24,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Unmanaged deep >5m],MATCH('LF destination'!C35,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C35,Table180[Country],0)),INDEX(D$19:D$24,MATCH($B35,$B$19:$B$24,0)))","v":0},{"$f":"IFERROR(INDEX(Table21[Unmanaged shallow <5m],MATCH('LF destination'!C35,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C35,Table180[Country],0)),INDEX(E$19:E$24,MATCH($B35,$B$19:$B$24,0)))","v":0.67045454545454541},{"$f":"IFERROR(INDEX(Table21[Uncategoriesd],MATCH('LF destination'!C35,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C35,Table180[Country],0)),INDEX(F$19:F$24,MATCH($B35,$B$19:$B$24,0)))","v":0.32954545454545453},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF destination'!C35,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C35,Table180[Country],0)),INDEX(G$19:G$24,MATCH($B35,$B$19:$B$24,0)))","v":0},0.56999999999999995,0.4]
[null,{"$f":"'WB dataset'!B15","v":"South Asia"},{"$f":"'WB dataset'!C15","v":"Bangladesh"},"Yes",{"$f":"IFERROR(INDEX(Table21[Managed (without gas collection system)],MATCH('LF destination'!C36,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C36,Table180[Country],0)),INDEX(C$19:C$24,MATCH($B36,$B$19:$B$24,0)))","v":0},0,{"$f":"IFERROR(INDEX(Table21[Unmanaged deep >5m],MATCH('LF destination'!C36,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C36,Table180[Country],0)),INDEX(D$19:D$24,MATCH($B36,$B$19:$B$24,0)))","v":0},{"$f":"IFERROR(INDEX(Table21[Unmanaged shallow <5m],MATCH('LF destination'!C36,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C36,Table180[Country],0)),INDEX(E$19:E$24,MATCH($B36,$B$19:$B$24,0)))","v":0},{"$f":"IFERROR(INDEX(Table21[Uncategoriesd],MATCH('LF destination'!C36,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C36,Table180[Country],0)),INDEX(F$19:F$24,MATCH($B36,$B$19:$B$24,0)))","v":0.94750000000000001},{"$f":"IFERROR(INDEX(Table21[Other productive use],MATCH('LF destination'!C36,Table180[Country],0))/INDEX(Table21[Total relevant for Food Loss],MATCH('LF destination'!C36,Table180[Country],0)),INDEX(G$19:G$24,MATCH($B36,$B$19:$B$24,0)))","v":5.2499999999999998E-2},0.56999999999999995,0.379]
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{"sheet":"Landfill Calcs","index":14,"n_rows":42,"n_cols":102,"rows_kept":42,"cut":false,"hidden":true,"merged":[[8,2,8,3]]}
[]
[null,"Landfill Methane Model"]
[]
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[null,"Inert waste",0,0,0]
[null,null,{"$f":"SUM(C12:C17)","v":1}]
[]
[]
[null,"Decay profile"]
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[]
[null,"Baseline Methane Emissions (tCO2e)"]
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[]
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[null,"Cumulative emissions",{"$f":"SUM($C39:C39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:D39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:E39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:F39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:G39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:H39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:I39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:J39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:K39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:L39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:M39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:N39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:O39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:P39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:Q39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:R39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:S39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:T39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:U39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:V39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:W39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:X39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:Y39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:Z39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AA39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AB39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AC39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AD39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AE39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AF39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AG39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AH39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AI39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AJ39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AK39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AL39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AM39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AN39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AO39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AP39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AQ39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AR39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AS39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AT39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AU39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AV39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AW39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AX39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AY39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:AZ39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BA39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BB39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BC39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BD39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BE39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BF39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BG39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BH39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BI39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BJ39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BK39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BL39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BM39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BN39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BO39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BP39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BQ39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BR39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BS39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BT39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BU39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BV39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BW39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BX39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BY39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:BZ39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CA39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CB39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CC39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CD39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CE39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CF39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CG39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CH39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CI39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CJ39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CK39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CL39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CM39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CN39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CO39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CP39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CQ39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CR39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CS39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CT39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CU39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CV39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CW39)","v":{"$error":"#N/A"}},{"$f":"SUM($C39:CX39)","v":{"$error":"#N/A"}}]
[null,"100 year total",{"$f":"CX40","v":{"$error":"#N/A"}}]
[null,"Time-weighted emissions",{"$f":"SUM((C40:CX40)/100)","v":{"$error":"#N/A"}}]

{"sheet":"Transport >>","index":15,"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":"TransportCalc","index":16,"n_rows":60,"n_cols":6,"rows_kept":60,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Transport Emission Calculations"]
[]
[]
[null,"Transport inputs","Default","User input (transport phase 1)","User input (transport phase 2)"]
[null,"Distance (km) - preliminary input",{"$f":"INDEX(Logistics!$J$5:$J$121,MATCH(Country,Logistics!$B$5:$B$121,0))","v":{"$error":"#N/A"}},{"$f":"TransportUserDistance","v":0},{"$f":"Transport2UserDistance","v":0}]
[null,"Transport mode","Truck",{"$f":"IF(Interface!C56=\"\",C7,Interface!C56)","v":"Truck"},{"$f":"IF(Interface!C93=\"\",C7,Interface!C93)","v":"Truck"}]
[null,"Category","Average (all trucks)",{"$f":"IF(Interface!C58=\"\",INDEX(TransportDefaultValues[Transport sub-category],MATCH(D7,TransportDefaultValues[Transport type],0)),Interface!C58)","v":"Average (all trucks)"},{"$f":"IF(Interface!C95=\"\",INDEX(TransportDefaultValues[Transport sub-category],MATCH(E7,TransportDefaultValues[Transport type],0)),Interface!C95)","v":"Average (all trucks)"}]
[null,"Fuel type","Diesel",{"$f":"IF(Interface!C57=\"\",INDEX(TransportDefaultValues[Fuel type],MATCH(D7,TransportDefaultValues[Transport type],0)),Interface!C57)","v":"Diesel"},{"$f":"IF(Interface!C94=\"\",INDEX(TransportDefaultValues[Fuel type],MATCH(E7,TransportDefaultValues[Transport type],0)),Interface!C94)","v":"Diesel"}]
[null,"Temperature control",{"$f":"IF(CommodityGroup=\"Animal Protein\", \"Chilled\", \"Ambient\")","v":"Ambient"},{"$f":"IF(Interface!C59=\"\",INDEX(TransportDefaultValues[Temperature control],MATCH(D7,TransportDefaultValues[Transport type],0)),Interface!C59)","v":"Ambient"},{"$f":"IF(Interface!C96=\"\",INDEX(TransportDefaultValues[Temperature control],MATCH(E7,TransportDefaultValues[Transport type],0)),Interface!C96)","v":"Ambient"}]
[null,"Adjustment for road conditions (%)",{"$f":"INDEX(RoadConditionTable[Adjustment],MATCH(Country,RoadConditionTable[Country],0))","v":{"$error":"#N/A"}},{"$f":"IF(OR(D7=\"Truck\",D7=\"Van\"),IF(Interface!C60<>\"\",INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!C60,RoadConditionsAdj[Road conditions],0)),INDEX(RoadConditionTable[Adjustment],MATCH(Country,RoadConditionTable[Country],0))),0)","v":{"$error":"#N/A"}},{"$f":"IF(OR(E7=\"Truck\",E7=\"Van\"),IF(Interface!C97<>\"\",INDEX(RoadConditionsAdj[Adjustment],MATCH(Interface!C97,RoadConditionsAdj[Road conditions],0)),INDEX(RoadConditionTable[Adjustment],MATCH(Country,RoadConditionTable[Country],0))),0)","v":{"$error":"#N/A"}}]
[null,"Fuel type input list reference",{"$f":"C7&\"Fuel\"","v":"TruckFuel"},{"$f":"D7&\"Fuel\"","v":"TruckFuel"},{"$f":"E7&\"Fuel\"","v":"TruckFuel"}]
[]
[null,"Preliminary EFs"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",{"$f":"(1+C11)*INDEX(TransportEFtable[kg CO2],MATCH(1,(TransportCalc!C7=TransportEFtable[Category])*(TransportCalc!C8=TransportEFtable[Sub-category])*(TransportCalc!C9=TransportEFtable[Fuel])*(TransportCalc!C10=TransportEFtable[Temperature]),0))","v":{"$error":"#N/A"}},{"$f":"(1+D11)*INDEX(TransportEFtable[kg CO2],MATCH(1,(TransportCalc!D7=TransportEFtable[Category])*(TransportCalc!D8=TransportEFtable[Sub-category])*(TransportCalc!D9=TransportEFtable[Fuel])*(TransportCalc!D10=TransportEFtable[Temperature]),0))","v":{"$error":"#N/A"}},{"$f":"(1+E11)*INDEX(TransportEFtable[kg CO2],MATCH(1,(TransportCalc!E7=TransportEFtable[Category])*(TransportCalc!E8=TransportEFtable[Sub-category])*(TransportCalc!E9=TransportEFtable[Fuel])*(TransportCalc!E10=TransportEFtable[Temperature]),0))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",{"$f":"(1+C11)*INDEX(TransportEFtable[kg CH4],MATCH(1,(TransportCalc!C7=TransportEFtable[Category])*(TransportCalc!C8=TransportEFtable[Sub-category])*(TransportCalc!C9=TransportEFtable[Fuel])*(TransportCalc!C10=TransportEFtable[Temperature]),0))","v":{"$error":"#N/A"}},{"$f":"(1+D11)*INDEX(TransportEFtable[kg CH4],MATCH(1,(TransportCalc!D7=TransportEFtable[Category])*(TransportCalc!D8=TransportEFtable[Sub-category])*(TransportCalc!D9=TransportEFtable[Fuel])*(TransportCalc!D10=TransportEFtable[Temperature]),0))","v":{"$error":"#N/A"}},{"$f":"(1+E11)*INDEX(TransportEFtable[kg CH4],MATCH(1,(TransportCalc!E7=TransportEFtable[Category])*(TransportCalc!E8=TransportEFtable[Sub-category])*(TransportCalc!E9=TransportEFtable[Fuel])*(TransportCalc!E10=TransportEFtable[Temperature]),0))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",{"$f":"(1+C11)*INDEX(TransportEFtable[kg N2O],MATCH(1,(TransportCalc!C7=TransportEFtable[Category])*(TransportCalc!C8=TransportEFtable[Sub-category])*(TransportCalc!C9=TransportEFtable[Fuel])*(TransportCalc!C10=TransportEFtable[Temperature]),0))","v":{"$error":"#N/A"}},{"$f":"(1+D11)*INDEX(TransportEFtable[kg N2O],MATCH(1,(TransportCalc!D7=TransportEFtable[Category])*(TransportCalc!D8=TransportEFtable[Sub-category])*(TransportCalc!D9=TransportEFtable[Fuel])*(TransportCalc!D10=TransportEFtable[Temperature]),0))","v":{"$error":"#N/A"}},{"$f":"(1+E11)*INDEX(TransportEFtable[kg N2O],MATCH(1,(TransportCalc!E7=TransportEFtable[Category])*(TransportCalc!E8=TransportEFtable[Sub-category])*(TransportCalc!E9=TransportEFtable[Fuel])*(TransportCalc!E10=TransportEFtable[Temperature]),0))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",{"$f":"SUM(C15:C17)","v":{"$error":"#N/A"}},{"$f":"SUM(D15:D17)","v":{"$error":"#N/A"}},{"$f":"SUM(E15:E17)","v":{"$error":"#N/A"}}]
[]
[null,{"$f":"\"Emission factors based on user input - \"&'Transport Lists'!B13","v":"Emission factors based on user input - Trip emissions (kg CO2e/tonne.km)"}]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",null,{"$f":"D$24*D58","v":{"$error":"#VALUE!"}},{"$error":"#VALUE!"}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",null,{"$error":"#VALUE!"},{"$error":"#VALUE!"}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",null,{"$error":"#VALUE!"},{"$error":"#VALUE!"}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",null,{"$f":"IF(Interface!C52='Transport Lists'!B13,Interface!C53,\"\")","v":""},{"$f":"IF(Interface!C89='Transport Lists'!B13,Interface!C90,\"\")","v":""}]
[]
[null,{"$f":"\"Emission factors based on user input - \"&'Transport Lists'!B14","v":"Emission factors based on user input - Fuel efficiency (l/100km)"}]
[null,"l/100km",null,{"$f":"IF(Interface!C52='Transport Lists'!B14,Interface!C53,\"\")","v":""},{"$f":"IF(Interface!C89='Transport Lists'!B14,Interface!C90,\"\")","v":""}]
[null,"tonnes",null,18.25,18.25,"Based on typical gross HGV weight"]
[null,"kgCO2/lt",null,{"$f":"3.3","v":3.3},{"$f":"3.3","v":3.3},"BEIS (UK) diesel emission factor"]
[null,"kgCO2/km",null,{"$f":"D29*(D27/100)","v":{"$error":"#VALUE!"}},{"$f":"E29*(E27/100)","v":{"$error":"#VALUE!"}}]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",null,{"$f":"D$34*D58","v":{"$error":"#VALUE!"}},{"$error":"#VALUE!"}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",null,{"$error":"#VALUE!"},{"$error":"#VALUE!"}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",null,{"$error":"#VALUE!"},{"$error":"#VALUE!"}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",null,{"$f":"(D30/D28)+50%*(D30/D28)","v":{"$error":"#VALUE!"}},{"$f":"(E30/E28)+50%*(E30/E28)","v":{"$error":"#VALUE!"}}]
[]
[]
[]
[null,null,"Default","Final output (transport phase 1)","Final output (transport phase 2)"]
[null,"Transport Emission Factor - CO2 (kgCO2e/tonne.km)",{"$f":"(1+C11)*INDEX(TransportEFtable[kg CO2],MATCH(1,(TransportCalc!C7=TransportEFtable[Category])*(TransportCalc!C8=TransportEFtable[Sub-category])*(TransportCalc!C9=TransportEFtable[Fuel])*(TransportCalc!C10=TransportEFtable[Temperature]),0))","v":{"$error":"#N/A"}},{"$f":"IF(OR(Interface!$C$52=\"\",Interface!$C$53=\"\"),D15,IF(Interface!$C$52='Transport Lists'!$B$13,D21,D31))","v":{"$error":"#N/A"}},{"$f":"IF(OR(Interface!$C$89=\"\",Interface!$C$90=\"\"),E15,IF(Interface!$C$89='Transport Lists'!$B$13,E21,E31))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - CH4 (kgCO2e/tonne.km)",{"$f":"(1+C11)*INDEX(TransportEFtable[kg CH4],MATCH(1,(TransportCalc!C7=TransportEFtable[Category])*(TransportCalc!C8=TransportEFtable[Sub-category])*(TransportCalc!C9=TransportEFtable[Fuel])*(TransportCalc!C10=TransportEFtable[Temperature]),0))","v":{"$error":"#N/A"}},{"$f":"IF(OR(Interface!$C$52=\"\",Interface!$C$53=\"\"),D16,IF(Interface!$C$52='Transport Lists'!$B$13,D22,D32))","v":{"$error":"#N/A"}},{"$f":"IF(OR(Interface!$C$89=\"\",Interface!$C$90=\"\"),E16,IF(Interface!$C$89='Transport Lists'!$B$13,E22,E32))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - N2O (kgCO2e/tonne.km)",{"$f":"(1+C11)*INDEX(TransportEFtable[kg N2O],MATCH(1,(TransportCalc!C7=TransportEFtable[Category])*(TransportCalc!C8=TransportEFtable[Sub-category])*(TransportCalc!C9=TransportEFtable[Fuel])*(TransportCalc!C10=TransportEFtable[Temperature]),0))","v":{"$error":"#N/A"}},{"$f":"IF(OR(Interface!$C$52=\"\",Interface!$C$53=\"\"),D17,IF(Interface!$C$52='Transport Lists'!$B$13,D23,D33))","v":{"$error":"#N/A"}},{"$f":"IF(OR(Interface!$C$89=\"\",Interface!$C$90=\"\"),E17,IF(Interface!$C$89='Transport Lists'!$B$13,E23,E33))","v":{"$error":"#N/A"}}]
[null,"Transport Emission Factor - Total (kgCO2e/tonne.km)",{"$f":"SUM(C39:C41)","v":{"$error":"#N/A"}},{"$f":"IF(OR(Interface!$C$52=\"\",Interface!$C$53=\"\"),D18,IF(Interface!$C$52='Transport Lists'!$B$13,D24,D34))","v":{"$error":"#N/A"}},{"$f":"IF(OR(Interface!$C$89=\"\",Interface!$C$90=\"\"),E18,IF(Interface!$C$89='Transport Lists'!$B$13,E24,E34))","v":{"$error":"#N/A"}}]
[null,"CO2 emissions per tonne per year (tCO2e)",null,{"$f":"TransportCalc!D39/1000*TransportCalc!D$54","v":{"$error":"#N/A"}},{"$f":"TransportCalc!E39/1000*TransportCalc!E$54","v":{"$error":"#N/A"}}]
[null,"CH4 emissions per tonne per year (tCO2e)",null,{"$f":"TransportCalc!D40/1000*TransportCalc!D$54","v":{"$error":"#N/A"}},{"$f":"TransportCalc!E40/1000*TransportCalc!E$54","v":{"$error":"#N/A"}}]
[null,"N2O emissions per tonne per year (tCO2e)",null,{"$f":"TransportCalc!D41/1000*TransportCalc!D$54","v":{"$error":"#N/A"}},{"$f":"TransportCalc!E41/1000*TransportCalc!E$54","v":{"$error":"#N/A"}}]
[null,"Total emissions per tonne per year (tCO2e)",null,{"$f":"SUM(D43:D45)","v":{"$error":"#N/A"}},{"$f":"SUM(E43:E45)","v":{"$error":"#N/A"}}]
[]
[]
[null,"Split distance and food loss rates between transport phase 1 and 2","Default","Phase 1","Phase 2"]
[null,"user input phase 1 but not 2",null,{"$f":"IF(AND(TransportUserDistance<>\"\",Transport2UserDistance=\"\"),$D$6,\"\")","v":""},{"$f":"IF(AND(TransportUserDistance<>\"\",Transport2UserDistance=\"\"),$C$6/2,\"\")","v":""}]
[null,"user input phase 2 but not 1",null,{"$f":"IF(AND(TransportUserDistance=\"\",Transport2UserDistance<>\"\"),$C$6/2,\"\")","v":""},{"$f":"IF(AND(TransportUserDistance=\"\",Transport2UserDistance<>\"\"),$E$6,\"\")","v":""}]
[null,"no user input",null,{"$f":"IF(AND(TransportUserDistance=\"\",Transport2UserDistance=\"\"),$C$6/2,\"\")","v":{"$error":"#N/A"}},{"$f":"IF(AND(TransportUserDistance=\"\",Transport2UserDistance=\"\"),$C$6/2,\"\")","v":{"$error":"#N/A"}}]
[null,"both user inputs",null,{"$f":"IF(AND(TransportUserDistance<>\"\",Transport2UserDistance<>\"\"),$D$6,\"\")","v":""},{"$f":"IF(AND(TransportUserDistance<>\"\",Transport2UserDistance<>\"\"),$E$6,\"\")","v":""}]
[null,"Distance (km) - final input",null,{"$f":"SUM(D50:D53)","v":{"$error":"#N/A"}},{"$f":"SUM(E50:E53)","v":{"$error":"#N/A"}}]
[null,"Food loss rate distribution",null,{"$f":"D54/SUM($D$54:$E$54)","v":{"$error":"#N/A"}},{"$f":"E54/SUM($D$54:$E$54)","v":{"$error":"#N/A"}}]
[]
[null,"Calculate distribution of CO2e by GHG"]
[null,"CO2 (%)",{"$f":"C15/C$18","v":{"$error":"#N/A"}},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"CH4 (%)",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]
[null,"N2O (%)",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"}]

{"sheet":"Transport EFs","index":17,"n_rows":64,"n_cols":16,"rows_kept":64,"cut":false,"hidden":true,"merged":[[4,1,4,4]]}
[]
[null,"Transport Emission Factors"]
[]
[]
[null,"2021 BEIS data (all data in tonne.km)"]
[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,"Van List"]
[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,"Class I (up to 1.305 tonnes)"]
[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,"Class II (1.305 to 1.74 tonnes)"]
[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,"Class III (1.74 to 3.5 tonnes)"]
[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,"Average (up to 3.5 tonnes)"]
[null,"Van","Class II (1.305 to 1.74 tonnes)","Petrol","Ambient",0.72057000000000004,0.71792,8.7000000000000001E-4,1.7899999999999999E-3,"BEIS"]
[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,"Rail list"]
[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,"Freight train"]
[null,"Van","Average (up to 3.5 tonnes)","LPG","Ambient",0.67659000000000002,0.67508999999999997,9.0000000000000006E-5,1.4E-3,"BEIS"]
[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,"Ship list"]
[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,"General cargo"]
[null,"Rail","Freight train","Not applicable","Chilled",{"$f":"F17*(1+$C$64)","v":3.1971821752417438E-2},{"$f":"G17*(1+$C$64)","v":3.1592572968150802E-2},{"$f":"H17*(1+$C$64)","v":2.2984774804038418E-5},{"$f":"I17*(1+$C$64)","v":3.5626400946259544E-4},"BEIS","BEIS data + avg additional emissions associated with cooling in HGV"]
[null,"Ship","General cargo","Not applicable","Ambient",1.3232000000000001E-2,1.3050000000000001E-2,3.9999999999999998E-6,1.7799999999999999E-4,"BEIS","average from BEIS data",null,null,null,null,"Truck list"]
[null,"Ship","General cargo","Not applicable","Chilled",{"$f":"F19*(1+$C$64)","v":1.5206727010351818E-2},{"$f":"G19*(1+$C$64)","v":1.4997565559635068E-2},{"$f":"H19*(1+$C$64)","v":4.5969549608076835E-6},{"$f":"I19*(1+$C$64)","v":2.045644957559419E-4},"BEIS","average from BEIS data + avg additional emissions associated with cooling in HGV",null,null,null,null,"Rigid (>3.5 - 7.5 tonnes)"]
[null,"Van","Class I (up to 1.305 tonnes)","Diesel","Chilled",{"$f":"F7*(1+$C$64)","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,"Rigid (>7.5 - 17 tonnes)"]
[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,"Rigid (>17 tonnes)"]
[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,"Average (all rigids)"]
[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,"Articulated (>3.5 - 33 tonnes)"]
[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,"Articulated (>33 tonnes)"]
[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,"Average (all artics)"]
[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,"Average (all trucks)"]
[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,"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,"Van"]
[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,"Diesel"]
[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,"Petrol"]
[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,"LPG"]
[null,"Truck","Rigid (>17 tonnes)","Diesel","Ambient",0.12009,0.11876,2.0000000000000002E-5,1.2999999999999999E-3,"BEIS","100% laden",null,null,null,null,"CNG"]
[null,"Truck","Average (all rigids)","Diesel","Ambient",0.12834000000000001,0.12692000000000001,2.0000000000000002E-5,1.4E-3,"BEIS","100% laden"]
[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,"Truck"]
[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,"Diesel"]
[null,"Truck","Average (all artics)","Diesel","Ambient",5.944E-2,5.8540000000000002E-2,1.0000000000000001E-5,8.8999999999999995E-4,"BEIS","100% laden"]
[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,"Ship"]
[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,"Not applicable"]
[null,"Truck","Rigid (>7.5 - 17 tonnes)","Diesel","Chilled",0.16103000000000001,0.15956999999999999,2.0000000000000002E-5,1.4400000000000001E-3,"BEIS","100% laden"]
[null,"Truck","Rigid (>17 tonnes)","Diesel","Chilled",0.14299999999999999,0.14168,2.0000000000000002E-5,1.2999999999999999E-3,"BEIS","100% laden",null,null,null,null,"Rail"]
[null,"Truck","Average (all rigids)","Diesel","Chilled",0.15282999999999999,0.15140000000000001,2.0000000000000002E-5,1.4E-3,"BEIS","100% laden",null,null,null,null,"Not applicable"]
[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,"Truck","Articulated (>33 tonnes)","Diesel","Chilled",6.8400000000000002E-2,6.7500000000000004E-2,1.0000000000000001E-5,8.8999999999999995E-4,"BEIS","100% laden"]
[null,"Truck","Average (all artics)","Diesel","Chilled",6.8760000000000002E-2,6.7860000000000004E-2,1.0000000000000001E-5,8.8999999999999995E-4,"BEIS","100% laden"]
[null,"Truck","Average (all trucks)","Diesel","Chilled",8.6389999999999995E-2,8.5379999999999998E-2,1.0000000000000001E-5,1E-3,"BEIS","100% laden"]
[null,"Non-motorized","Not applicable","Not applicable","Not applicable",0,0,0,0,null,"No emissions"]
[null,"Van","Average (up to 3.5 tonnes)","Electric","Chilled",{"$f":"F49*(1+$C$64)","v":{"$error":"#N/A"}},{"$f":"TransportEFtable[[#This Row],[kg CO2e]]","v":{"$error":"#N/A"}},0,0,null,"Average additional emissions associated with cooling calculated from BEIS data for HGV"]
[null,"Van","Average (up to 3.5 tonnes)","Electric","Ambient",{"$f":"INDEX('Grid EFs'!$D$6:$D$122,MATCH(Country,'Grid EFs'!$B$6:$B$122,0))*0.25091/2","v":{"$error":"#N/A"}},{"$f":"TransportEFtable[[#This Row],[kg CO2e]]","v":{"$error":"#N/A"}},0,0,"ev-database.uk","0.25091 kWh/km. Average based on 20 vans, assuming 2 tonne capacity"]
[]
[]
[]
[null,"% of additional emissions due to cooling:"]
[]
[null,null,"100% laden"]
[null,{"$f":"'Transport EFs'!$C39","v":"Rigid (>3.5 - 7.5 tonnes)"},{"$f":"1-F31/F39","v":0.16014923310764129}]
[null,{"$f":"'Transport EFs'!$C40","v":"Rigid (>7.5 - 17 tonnes)"},0.16028069303856418]
[null,{"$f":"'Transport EFs'!$C41","v":"Rigid (>17 tonnes)"},0.16020979020979009]
[null,{"$f":"'Transport EFs'!$C42","v":"Average (all rigids)"},0.16024340770791068]
[null,{"$f":"'Transport EFs'!$C43","v":"Articulated (>3.5 - 33 tonnes)"},0.13564333017975394]
[null,{"$f":"'Transport EFs'!$C44","v":"Articulated (>33 tonnes)"},0.13552631578947372]
[null,{"$f":"'Transport EFs'!$C45","v":"Average (all artics)"},0.13554392088423506]
[null,{"$f":"'Transport EFs'!$C46","v":"Average (all trucks)"},0.1463132306979974]
[null,"Average:",{"$f":"AVERAGE(C56:C63)","v":0.14923874020192079},"Apply this factor to vans EFs"]

{"sheet":"Transport Lists","index":18,"n_rows":39,"n_cols":9,"rows_kept":39,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Drop-down lists for user inputs",null,"Controls default values for transport type selection",null,null,null,null,"Drop-down lists for size"]
[null,"Transport mode",null,"Transport type","Transport sub-category","Fuel type","Temperature control",null,"TruckDiesel"]
[null,null,null,"Ship","General cargo","Not applicable",{"$f":"IF(CommodityGroup=\"Animal Protein\", \"Chilled\", \"Ambient\")","v":"Ambient"},null,"Class I (up to 1.305 tonnes)"]
[null,"Van",null,"Truck","Average (all trucks)","Diesel",{"$f":"IF(CommodityGroup=\"Animal Protein\", \"Chilled\", \"Ambient\")","v":"Ambient"},null,"Class II (1.305 to 1.74 tonnes)"]
[null,"Truck",null,"Rail","Freight train","Not applicable",{"$f":"IF(CommodityGroup=\"Animal Protein\", \"Chilled\", \"Ambient\")","v":"Ambient"},null,"Class III (1.74 to 3.5 tonnes)"]
[null,"Rail",null,"Van","Average (up to 3.5 tonnes)","Diesel",{"$f":"IF(CommodityGroup=\"Animal Protein\", \"Chilled\", \"Ambient\")","v":"Ambient"},null,"Average (up to 3.5 tonnes)"]
[null,"Ship",null,"Non-motorized","Not applicable","Not applicable","Not applicable"]
[null,"Non-motorized"]
[null,null,null,null,null,null,null,null,"TruckPetrol"]
[null,"EF type",null,null,null,null,null,null,"Class I (up to 1.305 tonnes)"]
[null,null,null,null,null,null,null,null,"Class II (1.305 to 1.74 tonnes)"]
[null,"Trip emissions (kg CO2e/tonne.km)",null,null,null,null,null,null,"Class III (1.74 to 3.5 tonnes)"]
[null,"Fuel efficiency (l/100km)",null,null,null,null,null,null,"Average (up to 3.5 tonnes)"]
[]
[null,"Temperature",null,null,null,null,null,null,"TruckLPG"]
[null,null,null,null,null,null,null,null,"Average (up to 3.5 tonnes)"]
[null,"Ambient"]
[null,"Chilled",null,null,null,null,null,null,"TruckCNG"]
[null,null,null,null,null,null,null,null,"Average (up to 3.5 tonnes)"]
[null,"Road conditions"]
[null,null,null,null,null,null,null,null,"RailNotApplicable"]
[null,"Excellent",null,null,null,null,null,null,"Freight train"]
[null,"Very good"]
[null,"Good",null,null,null,null,null,null,"ShipNotApplicable"]
[null,"Fair",null,null,null,null,null,null,"General cargo"]
[null,"Poor"]
[null,"Very poor",null,null,null,null,null,null,"HGVDiesel"]
[null,null,null,null,null,null,null,null,"Rigid (>3.5 - 7.5 tonnes)"]
[null,"Road conditions NA",null,null,null,null,null,null,"Rigid (>7.5 - 17 tonnes)"]
[null,"Not applicable",null,null,null,null,null,null,"Rigid (>17 tonnes)"]
[null,null,null,null,null,null,null,null,"Average (all rigids)"]
[null,null,null,null,null,null,null,null,"Articulated (>3.5 - 33 tonnes)"]
[null,null,null,null,null,null,null,null,"Articulated (>33 tonnes)"]
[null,null,null,null,null,null,null,null,"Average (all artics)"]
[null,null,null,null,null,null,null,null,"Average (all trucks)"]
[]
[null,null,null,null,null,null,null,null,"NonmotorisedNotApplicable"]
[null,null,null,null,null,null,null,null,"General cargo"]

{"sheet":"Road conditions","index":19,"n_rows":145,"n_cols":16,"rows_kept":145,"cut":false,"hidden":true,"merged":[[2,1,2,4]]}
[]
[null,"Road conditions"]
[null,"Provide 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: http://reports.weforum.org/global-competitiveness-index-2017-2018/competitiveness-rankings/#series=EOSQ057",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,"Africa","Angola",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Albania","Southern Europe","Europe and Central Asia",4.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2},null,"Africa",3.4161290322580653,1.60402081939994E-2]
[null,"Africa","Benin",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Algeria","Northern Africa","Middle East and North Africa",3.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2},null,"East Asia and Pacific",4.617647058823529,1.1104087480704376E-2]
[null,"Africa","Botswana",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Argentina","Latin America and the Caribbean","Latin America and Caribbean",3.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,"Europe and Central Asia",4.4830188679245273,1.1119417560061087E-2]
[null,"Africa","Burkina Faso",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Armenia","Western Asia","Europe and Central Asia",3.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2},null,"Latin America and Caribbean",3.5428571428571418,1.6443335119509968E-2]
[null,"Africa","Burundi",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Australia","Australia and New Zealand","East Asia and Pacific",4.8,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,"Middle East and North Africa",3.5,1.5127868309949168E-2]
[null,"Africa","Cabo Verde",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Austria","Western Europe","Europe and Central Asia",6,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3},null,"Northern America",5.5500000000000007,6.9062007501941892E-3]
[null,"Africa","Cameroon",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Azerbaijan","Western Asia","Europe and Central Asia",4.8,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,"South Asia",3.75,1.53471127782093E-2]
[null,"Africa","Central African Republic",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Bahrain","Western Asia","Europe and Central Asia",5.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,"Grand Total",4.0474452554744538,1.3375512888453974E-2]
[null,"Africa","Chad",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Bangladesh","Southern Asia","South Asia",3.1,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Africa","Comoros",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Belgium","Western Europe","Europe and Central Asia",4.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,"Adjustment by road conditions"]
[null,"Africa","Congo",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Benin","Sub-Saharan Africa","Africa",2.9,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,"Source: https://www.sciencedirect.com/science/article/pii/S1877705815034281"]
[null,"Africa","Cote d'Ivoire",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Bhutan","Southern Asia","South Asia",4.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2},null,"Road conditions","CO2e g/h/km","Adjustment"]
[null,"Africa","Democratic Republic of the Congo",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Bosnia and Herzegovina","Southern Europe","Europe and Central Asia",3,{"$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$26","v":2.7624803000776736E-2}]
[null,"Africa","Equatorial Guinea",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Botswana","Sub-Saharan Africa","Africa",3.8,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2},null,"Poor",20999.81,{"$f":"(RoadConditionsAdj[[#This Row],[CO2e g/h/km]]-$O$26)/$O$26","v":8.7037511149880183E-3}]
[null,"Africa","Eritrea",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Brazil","Latin America and the Caribbean","Latin America and Caribbean",3.1,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,"Fair",20941.93,{"$f":"(RoadConditionsAdj[[#This Row],[CO2e g/h/km]]-$O$26)/$O$26","v":5.9235462886330888E-3}]
[null,"Africa","Eswatini",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Brunei Darussalam","South-eastern Asia","East Asia and Pacific",4.8,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,"Good",20871.099999999999,{"$f":"(RoadConditionsAdj[[#This Row],[CO2e g/h/km]]-$O$26)/$O$26","v":2.5213018544464763E-3}]
[null,"Africa","Ethiopia",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Bulgaria","Eastern Europe","Europe and Central Asia",3.4,{"$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$26","v":5.2453069633362904E-4}]
[null,"Africa","Gabon",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Burundi","Sub-Saharan Africa","Africa",3,{"$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$26","v":0}]
[null,"Africa","Gambia",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Cabo Verde","Sub-Saharan Africa","Africa",3.9,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Africa","Ghana",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Cambodia","South-eastern Asia","East Asia and Pacific",3.2,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Africa","Kenya",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Cameroon","Sub-Saharan Africa","Africa",2.6,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,"Mapping"]
[null,"Africa","Lesotho",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Canada","Northern America","Northern America",5.4,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,"World Bank index","Adjustment","Road conditions"]
[null,"Africa","Liberia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Chad","Sub-Saharan Africa","Africa",2.6,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,1,{"$f":"P21","v":2.7624803000776736E-2},"Very  poor"]
[null,"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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Chile","Latin America and the Caribbean","Latin America and Caribbean",5.2,{"$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$31/6)","v":2.3020669167313948E-2},"Poor"]
[null,"Africa","Malawi",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"China","Eastern Asia","East Asia and Pacific",4.5999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3},null,3,1.841653533385116E-2,"Fair"]
[null,"Africa","Mali",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"China, Hong Kong Special Administrative Region","Eastern Asia","East Asia and Pacific",6.2,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3},null,4,1.3812401500388372E-2,"Good"]
[null,"Africa","Mauritania",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Colombia","Latin America and the Caribbean","Latin America and Caribbean",3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,5,9.2082676669255834E-3,"Very good"]
[null,"Africa","Mauritius",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Costa Rica","Latin America and the Caribbean","Latin America and Caribbean",2.6,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2},null,6,4.6041338334627943E-3,"Excellent"]
[null,"Africa","Mozambique",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Croatia","Southern Europe","Europe and Central Asia",5.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3},null,7,0,"Excellent"]
[null,"Africa","Namibia",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Cyprus","Western Asia","Europe and Central Asia",5.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Africa","Niger",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Czechia","Eastern Europe","Europe and Central Asia",4,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Africa","Nigeria",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Democratic Republic of the Congo","Sub-Saharan Africa","Africa",2.1,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"Africa","Rwanda",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Denmark","Northern Europe","Europe and Central Asia",5.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Africa","Sao Tome and Principe",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Dominican Republic","Latin America and the Caribbean","Latin America and Caribbean",4.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Africa","Senegal",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Ecuador","Latin America and the Caribbean","Latin America and Caribbean",5.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Africa","Seychelles",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Egypt","Northern Africa","Middle East and North Africa",3.9,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Africa","Sierra Leone",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"El Salvador","Latin America and the Caribbean","Latin America and Caribbean",4,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Africa","Somalia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Estonia","Northern Europe","Europe and Central Asia",4.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Africa","South Africa",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Eswatini","Sub-Saharan Africa","Africa",4.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Africa","South Sudan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Ethiopia","Sub-Saharan Africa","Africa",3.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Africa","Sudan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Finland","Northern Europe","Europe and Central Asia",5.4,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Africa","Togo",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.60402081939994E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"France","Western Europe","Europe and Central Asia",6,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Africa","Uganda",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Gambia","Sub-Saharan Africa","Africa",4.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Africa","United Republic of Tanzania",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Georgia","Western Asia","Europe and Central Asia",3.8,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Africa","Zambia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Germany","Western Europe","Europe and Central Asia",5.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Africa","Zimbabwe",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Ghana","Sub-Saharan Africa","Africa",3.9,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Antigua and Barbuda",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6443335119509968E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Greece","Southern Europe","Europe and Central Asia",4.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Latin America and Caribbean","Argentina",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Guatemala","Latin America and the Caribbean","Latin America and Caribbean",3.1,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Latin America and Caribbean","Bahamas",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6443335119509968E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Guinea","Sub-Saharan Africa","Latin America and Caribbean",2.2000000000000002,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"Latin America and Caribbean","Barbados",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6443335119509968E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Haiti","Latin America and the Caribbean","Latin America and Caribbean",2.1,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"Latin America and Caribbean","Belize",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6443335119509968E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Honduras","Latin America and the Caribbean","Latin America and Caribbean",3.8,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Bolivia (Plurinational State of)",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6443335119509968E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Hungary","Eastern Europe","Europe and Central Asia",4.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Brazil",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Iceland","Northern Europe","Europe and Central Asia",4.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Latin America and Caribbean","Chile",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"India","Southern Asia","South Asia",4.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Colombia",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Indonesia","South-eastern Asia","East Asia and Pacific",4.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Costa Rica",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Iran (Islamic Republic of)","Southern Asia","South Asia",4,{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6443335119509968E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Ireland","Northern Europe","Europe and Central Asia",4.5999999999999996,{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Israel","Western Asia","Europe and Central Asia",5.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Latin America and Caribbean","Ecuador",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Italy","Southern Europe","Europe and Central Asia",4.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Latin America and Caribbean","El Salvador",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Jamaica","Latin America and the Caribbean","Latin America and Caribbean",3.9,{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6443335119509968E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Japan","Eastern Asia","East Asia and Pacific",6.1,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Latin America and Caribbean","Guatemala",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Jordan","Western Asia","Europe and Central Asia",4.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Guinea",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Kazakhstan","Central Asia","Europe and Central Asia",2.9,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Latin America and Caribbean","Guinea-Bissau",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6443335119509968E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Kenya","Sub-Saharan Africa","Africa",4.3,{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6443335119509968E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Kuwait","Western Asia","Europe and Central Asia",4.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Haiti",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Kyrgyzstan","Central Asia","Europe and Central Asia",2.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Latin America and Caribbean","Honduras",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Lao People's Democratic Republic","South-eastern Asia","East Asia and Pacific",3.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Latin America and Caribbean","Jamaica",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Latvia","Northern Europe","Europe and Central Asia",3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Latin America and Caribbean","Mexico",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Lebanon","Western Asia","Middle East and North Africa",2.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Latin America and Caribbean","Nicaragua",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Lesotho","Sub-Saharan Africa","Africa",2.6,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Latin America and Caribbean","Panama",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Liberia","Sub-Saharan Africa","Africa",3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Latin America and Caribbean","Paraguay",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Lithuania","Northern Europe","Europe and Central Asia",4.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Latin America and Caribbean","Peru",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Luxembourg","Western Europe","Europe and Central Asia",5.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Latin America and Caribbean","Saint Kitts and Nevis",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6443335119509968E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Madagascar","Sub-Saharan Africa","Africa",2.2000000000000002,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"Latin America and Caribbean","Saint Lucia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.6443335119509968E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Malawi","Sub-Saharan Africa","Africa",2.8,{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Malaysia","South-eastern Asia","East Asia and Pacific",5.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Latin America and Caribbean","Uruguay",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Mali","Sub-Saharan Africa","Africa",3.6,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Latin America and Caribbean","Venezuela (Bolivarian Republic of)",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Malta","Southern Europe","Europe and Central Asia",3.2,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"South Asia","Bangladesh",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Mauritania","Sub-Saharan Africa","Africa",2,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"South Asia","Bhutan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Mauritius","Sub-Saharan Africa","Africa",4.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"South Asia","India",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Mexico","Latin America and the Caribbean","Latin America and Caribbean",4.4000000000000004,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"South Asia","Maldives",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.53471127782093E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Mongolia","Eastern Asia","East Asia and Pacific",3.1,{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.53471127782093E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Montenegro","Southern Europe","Europe and Central Asia",3.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"South Asia","Nepal",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Morocco","Northern Africa","Middle East and North Africa",4.5,{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Mozambique","Sub-Saharan Africa","Africa",2.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Bosnia and Herzegovina",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Namibia","Sub-Saharan Africa","Africa",5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Europe and Central Asia","Kazakhstan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Nepal","Southern Asia","South Asia",2.8,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Kyrgyzstan",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Netherlands","Western Europe","Europe and Central Asia",6.1,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Europe and Central Asia","Tajikistan",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"New Zealand","Australia and New Zealand","East Asia and Pacific",4.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"Europe and Central Asia","Turkey",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":9.2082676669255834E-3},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Nicaragua","Latin America and the Caribbean","Latin America and Caribbean",4.3,{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":2.3020669167313948E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Nigeria","Sub-Saharan Africa","Africa",2.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"Europe and Central Asia","Uzbekistan",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1119417560061087E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Norway","Northern Europe","Europe and Central Asia",4.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"East Asia and Pacific","Cambodia",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Oman","Western Asia","Europe and Central Asia",5.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"East Asia and Pacific","China",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Pakistan","Southern Asia","Middle East and North Africa",3.9,{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1104087480704376E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Panama","Latin America and the Caribbean","Latin America and Caribbean",4.4000000000000004,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"East Asia and Pacific","Indonesia",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Paraguay","Latin America and the Caribbean","Latin America and Caribbean",2.4,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,"East Asia and Pacific","Kiribati",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1104087480704376E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Peru","Latin America and the Caribbean","Latin America and Caribbean",3,{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Philippines","South-eastern Asia","East Asia and Pacific",3.1,{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Poland","Eastern Europe","Europe and Central Asia",4.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"East Asia and Pacific","Marshall Islands",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1104087480704376E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Portugal","Southern Europe","Europe and Central Asia",6,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"East Asia and Pacific","Micronesia (Federated States of)",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1104087480704376E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Qatar","Western Asia","Europe and Central Asia",5.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"East Asia and Pacific","Mongolia",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Republic of Korea","Eastern Asia","East Asia and Pacific",5.6,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"East Asia and Pacific","Papua New Guinea",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1104087480704376E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Republic of Moldova","Eastern Europe","Europe and Central Asia",2.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"East Asia and Pacific","Philippines",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.841653533385116E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Romania","Eastern Europe","Europe and Central Asia",2.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"East Asia and Pacific","Samoa",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1104087480704376E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Russian Federation","Eastern Europe","Europe and Central Asia",2.9,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"East Asia and Pacific","Solomon Islands",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1104087480704376E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Rwanda","Sub-Saharan Africa","Africa",5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"East Asia and Pacific","Thailand",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Saudi Arabia","Western Asia","Europe and Central Asia",4.8,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,"East Asia and Pacific","Timor-Leste",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1104087480704376E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Senegal","Sub-Saharan Africa","Africa",3.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"East Asia and Pacific","Tonga",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1104087480704376E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Serbia","Southern Europe","Europe and Central Asia",3.2,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"East Asia and Pacific","Tuvalu",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1104087480704376E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Seychelles","Sub-Saharan Africa","Africa",4.4000000000000004,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"East Asia and Pacific","Vanuatu",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.1104087480704376E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"Sierra Leone","Sub-Saharan Africa","Africa",3.2,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,"East Asia and Pacific","Viet Nam",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Singapore","South-eastern Asia","East Asia and Pacific",6.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Middle East and North Africa","Egypt",{"$f":"IFERROR(INDEX(Table161[Adjustment],MATCH(RoadConditionTable[[#This Row],[Country]],Table161[Country],0)),GETPIVOTDATA(\"Average of Adjustment\",$N$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]))","v":1.3812401500388372E-2},{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Slovakia","Eastern Europe","Europe and Central Asia",4,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Middle East and North Africa","Lebanon",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Fair"},null,"Slovenia","Southern Europe","Europe and Central Asia",4.4000000000000004,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Middle East and North Africa","Morocco",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Very good"},null,"South Africa","Sub-Saharan Africa","Africa",4.4000000000000004,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,"Middle East and North Africa","Pakistan",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Good"},null,"Spain","Southern Europe","Europe and Central Asia",5.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,"Middle East and North Africa","Yemen",{"$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$8,\"IFC region\",RoadConditionTable[[#This Row],[Region]]),0),Table3[World Bank index],0)))","v":"Poor"},null,"Sri Lanka","Southern Asia","South Asia",4.2,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,null,null,null,null,null,"Sweden","Northern Europe","Europe and Central Asia",5.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,null,null,null,null,null,"Switzerland","Western Europe","Europe and Central Asia",6.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,null,null,null,null,null,"Taiwan","Eastern Asia","East Asia and Pacific",5.6,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,null,null,null,null,null,"Tajikistan","Central Asia","Europe and Central Asia",4.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,null,null,null,null,null,"Thailand","South-eastern Asia","East Asia and Pacific",4.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,null,null,null,null,null,"Trinidad and Tobago","Latin America and the Caribbean","Latin America and Caribbean",4.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,null,null,null,null,null,"Tunisia","Northern Africa","Middle East and North Africa",3.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,null,null,null,null,null,"Turkey","Western Asia","Europe and Central Asia",5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,null,null,null,null,null,"Uganda","Sub-Saharan Africa","Africa",3.4,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,null,null,null,null,null,"Ukraine","Eastern Europe","Europe and Central Asia",2.4,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,null,null,null,null,null,"United Arab Emirates","Western Asia","Europe and Central Asia",6.4,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,null,null,null,null,null,"United Kingdom of Great Britain and Northern Ireland","Northern Europe","Europe and Central Asia",5.0999999999999996,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Very good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":9.2082676669255834E-3}]
[null,null,null,null,null,null,"United Republic of Tanzania","Sub-Saharan Africa","Africa",3.5,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Good"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.3812401500388372E-2}]
[null,null,null,null,null,null,"United States of America","Northern America","Northern America",5.7,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Excellent"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":4.6041338334627943E-3}]
[null,null,null,null,null,null,"Uruguay","Latin America and the Caribbean","Latin America and Caribbean",3.3,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)","Latin America and the Caribbean","Latin America and Caribbean",2.8,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,null,null,null,null,null,"Viet Nam","South-eastern Asia","East Asia and Pacific",3.4,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Fair"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":1.841653533385116E-2}]
[null,null,null,null,null,null,"Yemen","Western Asia","Middle East and North Africa",2.2999999999999998,{"$f":"INDEX(Table3[Road conditions],MATCH(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[World Bank index],0))","v":"Poor"},{"$f":"VLOOKUP(ROUND(Table161[[#This Row],[Road conditions]],0),Table3[#All],2,0)","v":2.3020669167313948E-2}]
[null,null,null,null,null,null,"Zambia","Sub-Saharan Africa","Africa",3.6,{"$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}]
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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$34","v":0.86956521739130432}]
[]
[]
[]
[null,"Commodity","Countries","Store EF kgCO2e/kg =","UN Region","IFC region","Concat",null,"IFC Country"," IFC Region","IEA denomination","Commodity group","CONCAT","CONCAT_REG","Store EF kgCO2e/kg ="]
[null,"Nuts/Seeds","Africa",6.263281016771638E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Paraguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I40,$C$40:$C$1650,1,0),VLOOKUP(I40,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Paraguay"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ParaguayVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N40)))","v":6.8589291526956978E-4}]
[null,"Nuts/Seeds","Albania",1.5259118842267539E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Nepal","South Asia",{"$f":"IFERROR(VLOOKUP(I41,$C$40:$C$1650,1,0),VLOOKUP(I41,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nepal"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NepalVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N41)))","v":6.9227601346581789E-4}]
[null,"Nuts/Seeds","Algeria",5.645469805041857E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaNuts/Seeds"},null,"Ethiopia","Africa",{"$f":"IFERROR(VLOOKUP(I42,$C$40:$C$1650,1,0),VLOOKUP(I42,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ethiopia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EthiopiaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N42)))","v":7.106124601967839E-4}]
[null,"Nuts/Seeds","Angola",5.6729758047510966E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Democratic Republic of the Congo","Africa",{"$f":"IFERROR(VLOOKUP(I43,$C$40:$C$1650,1,0),VLOOKUP(I43,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Democratic Republic of the Congo"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Democratic Republic of the CongoVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N43)))","v":7.1696839075132237E-4}]
[null,"Nuts/Seeds","Annex B Countries (Kyoto Protocol)",4.1694788816570044E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Costa Rica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I44,$C$40:$C$1650,1,0),VLOOKUP(I44,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Costa Rica"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Costa RicaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N44)))","v":7.2336878780733559E-4}]
[null,"Nuts/Seeds","Annex I Countries (UNFCCC)",4.5869553611737161E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Uruguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I45,$C$40:$C$1650,1,0),VLOOKUP(I45,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uruguay"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UruguayVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N45)))","v":7.2625482433339133E-4}]
[null,"Nuts/Seeds","Annex I EIT (UNFCCC)",4.7806104006560976E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Tajikistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I46,$C$40:$C$1650,1,0),VLOOKUP(I46,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tajikistan"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TajikistanVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N46)))","v":8.3685238968094757E-4}]
[null,"Nuts/Seeds","Annex II Asia Oceania (UNFCCC)",6.0794802083809885E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Kyrgyzstan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I47,$C$40:$C$1650,1,0),VLOOKUP(I47,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kyrgyzstan"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KyrgyzstanVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N47)))","v":8.9607394077533562E-4}]
[null,"Nuts/Seeds","Annex II Countries (UNFCCC)",4.507363256897589E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Namibia","Africa",{"$f":"IFERROR(VLOOKUP(I48,$C$40:$C$1650,1,0),VLOOKUP(I48,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Namibia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NamibiaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N48)))","v":8.9976654574406428E-4}]
[null,"Nuts/Seeds","Annex II Europe (UNFCCC)",3.4983008362674144E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Mozambique","Africa",{"$f":"IFERROR(VLOOKUP(I49,$C$40:$C$1650,1,0),VLOOKUP(I49,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mozambique"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MozambiqueVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N49)))","v":9.5708503249029896E-4}]
[null,"Nuts/Seeds","Annex II North America (UNFCCC)",4.6794149448282314E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Togo","Africa",{"$f":"IFERROR(VLOOKUP(I50,$C$40:$C$1650,1,0),VLOOKUP(I50,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Togo"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TogoVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N50)))","v":1.0167788415791339E-3}]
[null,"Nuts/Seeds","Argentina",4.4035892159158228E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Zambia","Africa",{"$f":"IFERROR(VLOOKUP(I51,$C$40:$C$1650,1,0),VLOOKUP(I51,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Zambia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ZambiaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N51)))","v":1.1570367654556654E-3}]
[null,"Nuts/Seeds","Armenia",2.8229222298886424E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Brazil","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I52,$C$40:$C$1650,1,0),VLOOKUP(I52,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Brazil"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BrazilVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N52)))","v":1.1761396249191456E-3}]
[null,"Nuts/Seeds","Australia",7.6264328404359316E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Australia and New Zealand"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Oceania"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"OceaniaNuts/Seeds"},null,"Colombia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I53,$C$40:$C$1650,1,0),VLOOKUP(I53,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Colombia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ColombiaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N53)))","v":1.2416033345934126E-3}]
[null,"Nuts/Seeds","Austria",2.833741903751489E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"El Salvador","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I54,$C$40:$C$1650,1,0),VLOOKUP(I54,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"El Salvador"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"El SalvadorVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N54)))","v":1.3617695364941565E-3}]
[null,"Nuts/Seeds","Azerbaijan",5.4994918943317969E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Panama","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I55,$C$40:$C$1650,1,0),VLOOKUP(I55,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Panama"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PanamaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N55)))","v":1.3878864372152576E-3}]
[null,"Nuts/Seeds","Bahrain",7.2195640886604837E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Ecuador","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I56,$C$40:$C$1650,1,0),VLOOKUP(I56,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ecuador"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EcuadorVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N56)))","v":1.4094401502304859E-3}]
[null,"Nuts/Seeds","Bangladesh",5.6275601963409617E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaNuts/Seeds"},null,"Kenya","Africa",{"$f":"IFERROR(VLOOKUP(I57,$C$40:$C$1650,1,0),VLOOKUP(I57,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kenya"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KenyaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N57)))","v":1.4097910132825739E-3}]
[null,"Nuts/Seeds","Belarus",4.5691872518382567E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Peru","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I58,$C$40:$C$1650,1,0),VLOOKUP(I58,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Peru"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PeruVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N58)))","v":1.5166154881476508E-3}]
[null,"Nuts/Seeds","Belgium",2.901373168976968E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Ghana","Africa",{"$f":"IFERROR(VLOOKUP(I59,$C$40:$C$1650,1,0),VLOOKUP(I59,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ghana"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GhanaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N59)))","v":1.6687435124144515E-3}]
[null,"Nuts/Seeds","Benin",6.5070229179387068E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Cameroon","Africa",{"$f":"IFERROR(VLOOKUP(I60,$C$40:$C$1650,1,0),VLOOKUP(I60,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cameroon"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CameroonVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N60)))","v":1.7672810122695303E-3}]
[null,"Nuts/Seeds","Venezuela (Bolivarian Republic of)",3.8396522008583414E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"United Republic of Tanzania","Africa",{"$f":"IFERROR(VLOOKUP(I61,$C$40:$C$1650,1,0),VLOOKUP(I61,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N61)))","v":1.7886234671827929E-3}]
[null,"Nuts/Seeds","Bosnia and Herzegovina",8.494181612888535E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Venezuela (Bolivarian Republic of)","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I62,$C$40:$C$1650,1,0),VLOOKUP(I62,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Venezuela (Bolivarian Republic of)"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Venezuela (Bolivarian Republic of)Vegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N62)))","v":1.8470999326594263E-3}]
[null,"Nuts/Seeds","Botswana",0.13066515980217622,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Sudan","Africa",{"$f":"IFERROR(VLOOKUP(I63,$C$40:$C$1650,1,0),VLOOKUP(I63,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sudan"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SudanVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N63)))","v":1.8589144667945894E-3}]
[null,"Nuts/Seeds","Brazil",2.4409491512482114E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Nicaragua","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I64,$C$40:$C$1650,1,0),VLOOKUP(I64,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nicaragua"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NicaraguaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N64)))","v":1.8948745234399927E-3}]
[null,"Nuts/Seeds","Brunei Darussalam",6.6536100562158307E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Congo","Africa",{"$f":"IFERROR(VLOOKUP(I65,$C$40:$C$1650,1,0),VLOOKUP(I65,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Congo"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CongoVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N65)))","v":1.9210411228462012E-3}]
[null,"Nuts/Seeds","Bulgaria",5.651077184779655E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Guatemala","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I66,$C$40:$C$1650,1,0),VLOOKUP(I66,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Guatemala"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GuatemalaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N66)))","v":1.924550239281184E-3}]
[null,"Nuts/Seeds","Cambodia",6.3008699500783277E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Antigua and Barbuda","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I67,$C$40:$C$1650,1,0),VLOOKUP(I67,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Antigua and Barbuda"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Antigua and BarbudaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N67)))","v":1.9288344638052955E-3}]
[null,"Nuts/Seeds","Cameroon",3.6599449964860684E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Bahamas","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I68,$C$40:$C$1650,1,0),VLOOKUP(I68,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bahamas"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BahamasVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N68)))","v":1.9288344638052955E-3}]
[null,"Nuts/Seeds","Canada",2.6390212339313129E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern America"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"North America"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"North AmericaNuts/Seeds"},null,"Barbados","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I69,$C$40:$C$1650,1,0),VLOOKUP(I69,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Barbados"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BarbadosVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N69)))","v":1.9288344638052955E-3}]
[null,"Nuts/Seeds","Chile",5.0080106135444849E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Belize","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I70,$C$40:$C$1650,1,0),VLOOKUP(I70,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Belize"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BelizeVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N70)))","v":1.9288344638052955E-3}]
[null,"Nuts/Seeds","China",6.5343019775341474E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Dominica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I71,$C$40:$C$1650,1,0),VLOOKUP(I71,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Dominica"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"DominicaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N71)))","v":1.9288344638052955E-3}]
[null,"Nuts/Seeds","Taiwan",6.5199194205032493E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Grenada","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I72,$C$40:$C$1650,1,0),VLOOKUP(I72,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Grenada"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GrenadaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N72)))","v":1.9288344638052955E-3}]
[null,"Nuts/Seeds","Colombia",2.5644577683334994E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Guinea","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I73,$C$40:$C$1650,1,0),VLOOKUP(I73,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Guinea"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GuineaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N73)))","v":1.9288344638052955E-3}]
[null,"Nuts/Seeds","Costa Rica",1.4932831623478575E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Guinea-Bissau","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I74,$C$40:$C$1650,1,0),VLOOKUP(I74,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N74)))","v":1.9288344638052955E-3}]
[null,"Nuts/Seeds","Cote d'Ivoire",4.4459726000978105E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Guyana","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I75,$C$40:$C$1650,1,0),VLOOKUP(I75,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Guyana"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GuyanaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N75)))","v":1.9288344638052955E-3}]
[null,"Nuts/Seeds","Croatia",3.1504957950642426E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Saint Kitts and Nevis","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I76,$C$40:$C$1650,1,0),VLOOKUP(I76,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Saint Kitts and Nevis"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Saint Kitts and NevisVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N76)))","v":1.9288344638052955E-3}]
[null,"Nuts/Seeds","Cuba",5.5751091589462121E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Saint Lucia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I77,$C$40:$C$1650,1,0),VLOOKUP(I77,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Saint Lucia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Saint LuciaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N77)))","v":1.9288344638052955E-3}]
[null,"Nuts/Seeds","Curaçao",4.8653569099539919E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Honduras","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I78,$C$40:$C$1650,1,0),VLOOKUP(I78,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Honduras"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"HondurasVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N78)))","v":1.9305808449007257E-3}]
[null,"Nuts/Seeds","Cyprus",6.6359256780812267E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Viet Nam","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I79,$C$40:$C$1650,1,0),VLOOKUP(I79,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Viet Nam"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Viet NamVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N79)))","v":2.0020809050302034E-3}]
[null,"Nuts/Seeds","Czech Republic",5.4791377202343283E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Ukraine","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I80,$C$40:$C$1650,1,0),VLOOKUP(I80,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ukraine"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UkraineVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N80)))","v":2.0115505444005767E-3}]
[null,"Nuts/Seeds","Democratic People's Republic of Korea",3.1912325858165412E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Myanmar","South Asia",{"$f":"IFERROR(VLOOKUP(I81,$C$40:$C$1650,1,0),VLOOKUP(I81,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Myanmar"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MyanmarVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N81)))","v":2.0534074494357379E-3}]
[null,"Nuts/Seeds","Democratic Republic of the Congo",1.4738448109302617E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Argentina","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I82,$C$40:$C$1650,1,0),VLOOKUP(I82,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Argentina"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ArgentinaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N82)))","v":2.1069040402373626E-3}]
[null,"Nuts/Seeds","Denmark",2.6673258147096236E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Cote d'Ivoire","Africa",{"$f":"IFERROR(VLOOKUP(I83,$C$40:$C$1650,1,0),VLOOKUP(I83,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cote d'Ivoire"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Cote d'IvoireVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N83)))","v":2.1548365577084947E-3}]
[null,"Nuts/Seeds","Dominican Republic",5.6252697926140752E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Pakistan","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I84,$C$40:$C$1650,1,0),VLOOKUP(I84,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Pakistan"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PakistanVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N84)))","v":2.2435646846763148E-3}]
[null,"Nuts/Seeds","Ecuador",2.8927916116883695E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Nigeria","Africa",{"$f":"IFERROR(VLOOKUP(I85,$C$40:$C$1650,1,0),VLOOKUP(I85,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nigeria"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NigeriaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N85)))","v":2.2615281423425185E-3}]
[null,"Nuts/Seeds","Egypt",4.9790649265974492E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaNuts/Seeds"},null,"Bolivia (Plurinational State of)","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I86,$C$40:$C$1650,1,0),VLOOKUP(I86,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N86)))","v":2.3012516921618784E-3}]
[null,"Nuts/Seeds","El Salvador",2.7920394189819696E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Gabon","Africa",{"$f":"IFERROR(VLOOKUP(I87,$C$40:$C$1650,1,0),VLOOKUP(I87,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Gabon"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GabonVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N87)))","v":2.3348942116360365E-3}]
[null,"Nuts/Seeds","Eritrea",8.2834480995916809E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Turkey","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I88,$C$40:$C$1650,1,0),VLOOKUP(I88,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Turkey"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TurkeyVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N88)))","v":2.381368242993607E-3}]
[null,"Nuts/Seeds","Estonia",8.2993127731240582E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Trinidad and Tobago","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I89,$C$40:$C$1650,1,0),VLOOKUP(I89,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N89)))","v":2.4017625067317876E-3}]
[null,"Nuts/Seeds","Ethiopia",1.4547026629628387E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Chile","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I90,$C$40:$C$1650,1,0),VLOOKUP(I90,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Chile"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChileVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N90)))","v":2.4208048300876756E-3}]
[null,"Nuts/Seeds","Finland",2.2912830306529932E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Egypt","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I91,$C$40:$C$1650,1,0),VLOOKUP(I91,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Egypt"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EgyptVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N91)))","v":2.4271897315079221E-3}]
[null,"Nuts/Seeds","France",1.996886008286379E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Bhutan","South Asia",{"$f":"IFERROR(VLOOKUP(I92,$C$40:$C$1650,1,0),VLOOKUP(I92,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bhutan"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BhutanVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N92)))","v":2.427409338155133E-3}]
[null,"Nuts/Seeds","Gabon",4.7723789001872616E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Maldives","South Asia",{"$f":"IFERROR(VLOOKUP(I93,$C$40:$C$1650,1,0),VLOOKUP(I93,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Maldives"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MaldivesVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N93)))","v":2.427409338155133E-3}]
[null,"Nuts/Seeds","Georgia",2.1901674598444699E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Thailand","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I94,$C$40:$C$1650,1,0),VLOOKUP(I94,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Thailand"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ThailandVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N94)))","v":2.4369411204365459E-3}]
[null,"Nuts/Seeds","Germany",4.74758103141278E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Burkina Faso","Africa",{"$f":"IFERROR(VLOOKUP(I95,$C$40:$C$1650,1,0),VLOOKUP(I95,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Burkina Faso"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Burkina FasoVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N95)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Ghana",3.4055431049437854E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Burundi","Africa",{"$f":"IFERROR(VLOOKUP(I96,$C$40:$C$1650,1,0),VLOOKUP(I96,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Burundi"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BurundiVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N96)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Gibraltar",7.4111513025356429E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Cabo Verde","Africa",{"$f":"IFERROR(VLOOKUP(I97,$C$40:$C$1650,1,0),VLOOKUP(I97,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cape Verde"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Cabo VerdeVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N97)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Greece",5.6293635465714705E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Central African Republic","Africa",{"$f":"IFERROR(VLOOKUP(I98,$C$40:$C$1650,1,0),VLOOKUP(I98,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Central African Republic"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Central African RepublicVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N98)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Guatemala",3.9215512839190024E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Chad","Africa",{"$f":"IFERROR(VLOOKUP(I99,$C$40:$C$1650,1,0),VLOOKUP(I99,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Chad"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChadVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N99)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Haiti",8.6678036961807134E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Comoros","Africa",{"$f":"IFERROR(VLOOKUP(I100,$C$40:$C$1650,1,0),VLOOKUP(I100,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Comoros"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ComorosVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N100)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Honduras",3.9298207383854172E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Equatorial Guinea","Africa",{"$f":"IFERROR(VLOOKUP(I101,$C$40:$C$1650,1,0),VLOOKUP(I101,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Equatorial Guinea"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Equatorial GuineaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N101)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Hong Kong (China)",7.1415555747924797E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Eswatini","Africa",{"$f":"IFERROR(VLOOKUP(I102,$C$40:$C$1650,1,0),VLOOKUP(I102,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Eswatini"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EswatiniVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N102)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Hungary",3.5238066440554786E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Gambia","Africa",{"$f":"IFERROR(VLOOKUP(I103,$C$40:$C$1650,1,0),VLOOKUP(I103,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Gambia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GambiaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N103)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Iceland",1.4355618384501697E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Lesotho","Africa",{"$f":"IFERROR(VLOOKUP(I104,$C$40:$C$1650,1,0),VLOOKUP(I104,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lesotho"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LesothoVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N104)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","India",7.0746300837178422E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaNuts/Seeds"},null,"Liberia","Africa",{"$f":"IFERROR(VLOOKUP(I105,$C$40:$C$1650,1,0),VLOOKUP(I105,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Liberia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LiberiaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N105)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Indonesia",7.449903739398453E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Madagascar","Africa",{"$f":"IFERROR(VLOOKUP(I106,$C$40:$C$1650,1,0),VLOOKUP(I106,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Madagascar"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MadagascarVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N106)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Iraq",8.5174976151933757E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Malawi","Africa",{"$f":"IFERROR(VLOOKUP(I107,$C$40:$C$1650,1,0),VLOOKUP(I107,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Malawi"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MalawiVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N107)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Ireland",4.3863919568209307E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Mali","Africa",{"$f":"IFERROR(VLOOKUP(I108,$C$40:$C$1650,1,0),VLOOKUP(I108,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mali"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MaliVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N108)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Islamic Republic of Iran",5.5714374483373387E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Mauritania","Africa",{"$f":"IFERROR(VLOOKUP(I109,$C$40:$C$1650,1,0),VLOOKUP(I109,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mauritania"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MauritaniaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N109)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Israel",5.7525893059374431E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Rwanda","Africa",{"$f":"IFERROR(VLOOKUP(I110,$C$40:$C$1650,1,0),VLOOKUP(I110,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Rwanda"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"RwandaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N110)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Italy",3.962947035790939E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Sao Tome and Principe","Africa",{"$f":"IFERROR(VLOOKUP(I111,$C$40:$C$1650,1,0),VLOOKUP(I111,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sao Tomé & Principe"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Sao Tome and PrincipeVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N111)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Jamaica",5.9821212318861727E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Seychelles","Africa",{"$f":"IFERROR(VLOOKUP(I112,$C$40:$C$1650,1,0),VLOOKUP(I112,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Seychelles"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SeychellesVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N112)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Japan",5.4809787142287479E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Sierra Leone","Africa",{"$f":"IFERROR(VLOOKUP(I113,$C$40:$C$1650,1,0),VLOOKUP(I113,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N113)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Jordan",5.2824746167678266E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Somalia","Africa",{"$f":"IFERROR(VLOOKUP(I114,$C$40:$C$1650,1,0),VLOOKUP(I114,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Somalia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SomaliaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N114)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Kazakhstan",6.1663766320177955E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Uganda","Africa",{"$f":"IFERROR(VLOOKUP(I115,$C$40:$C$1650,1,0),VLOOKUP(I115,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uganda"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UgandaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N115)))","v":2.4547272341441237E-3}]
[null,"Nuts/Seeds","Kenya",2.8480573592993559E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Mexico","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I116,$C$40:$C$1650,1,0),VLOOKUP(I116,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mexico"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MexicoVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N116)))","v":2.5044905715687626E-3}]
[null,"Nuts/Seeds","Korea",5.5840539558227292E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Uzbekistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I117,$C$40:$C$1650,1,0),VLOOKUP(I117,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uzbekistan"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UzbekistanVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N117)))","v":2.6744061041747902E-3}]
[null,"Nuts/Seeds","Kosovo",8.8005359977478922E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Bangladesh","South Asia",{"$f":"IFERROR(VLOOKUP(I118,$C$40:$C$1650,1,0),VLOOKUP(I118,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bangladesh"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BangladeshVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N118)))","v":2.7013351414468647E-3}]
[null,"Nuts/Seeds","Kuwait",6.0126139318694573E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Angola","Africa",{"$f":"IFERROR(VLOOKUP(I119,$C$40:$C$1650,1,0),VLOOKUP(I119,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Angola"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"AngolaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N119)))","v":2.7023151273581634E-3}]
[null,"Nuts/Seeds","Kyrgyzstan",1.8066399415804946E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Dominican Republic","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I120,$C$40:$C$1650,1,0),VLOOKUP(I120,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Dominican Republic"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Dominican RepublicVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N120)))","v":2.7393409090222158E-3}]
[null,"Nuts/Seeds","Latvia",1.9663733315007651E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Fiji","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I121,$C$40:$C$1650,1,0),VLOOKUP(I121,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Fiji"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"FijiVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N121)))","v":2.9273751228132694E-3}]
[null,"Nuts/Seeds","Lebanon",7.3781329672740398E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Kiribati","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I122,$C$40:$C$1650,1,0),VLOOKUP(I122,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kiribati"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KiribatiVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N122)))","v":2.9273751228132694E-3}]
[null,"Nuts/Seeds","Libya",5.7832696369082531E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaNuts/Seeds"},null,"Lao People's Democratic Republic","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I123,$C$40:$C$1650,1,0),VLOOKUP(I123,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lao People's Democratic Republic"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Lao People's Democratic RepublicVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N123)))","v":2.9273751228132694E-3}]
[null,"Nuts/Seeds","Lithuania",2.0145839940044197E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Marshall Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I124,$C$40:$C$1650,1,0),VLOOKUP(I124,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N124)))","v":2.9273751228132694E-3}]
[null,"Nuts/Seeds","Luxembourg",2.755514513088423E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Micronesia (Federated States of)","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I125,$C$40:$C$1650,1,0),VLOOKUP(I125,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Micronesia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Micronesia (Federated States of)Vegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N125)))","v":2.9273751228132694E-3}]
[null,"Nuts/Seeds","Malaysia",6.4022893717079726E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Papua New Guinea","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I126,$C$40:$C$1650,1,0),VLOOKUP(I126,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Papua New Guinea"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Papua New GuineaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N126)))","v":2.9273751228132694E-3}]
[null,"Nuts/Seeds","Malta",4.7071834844149577E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Samoa","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I127,$C$40:$C$1650,1,0),VLOOKUP(I127,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Samoa"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SamoaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N127)))","v":2.9273751228132694E-3}]
[null,"Nuts/Seeds","Mauritius",7.5970852614471326E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Solomon Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I128,$C$40:$C$1650,1,0),VLOOKUP(I128,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Solomon Islands"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Solomon IslandsVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N128)))","v":2.9273751228132694E-3}]
[null,"Nuts/Seeds","Memo: Americas (UN)",4.1034395693733711E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Timor-Leste","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I129,$C$40:$C$1650,1,0),VLOOKUP(I129,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Timor-Leste"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Timor-LesteVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N129)))","v":2.9273751228132694E-3}]
[null,"Nuts/Seeds","Memo: Asia (UN)",6.0738957637988783E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Tonga","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I130,$C$40:$C$1650,1,0),VLOOKUP(I130,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tonga"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TongaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N130)))","v":2.9273751228132694E-3}]
[null,"Nuts/Seeds","Memo: Europe (UN)",3.7227583354796985E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Tuvalu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I131,$C$40:$C$1650,1,0),VLOOKUP(I131,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tuvalu"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TuvaluVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N131)))","v":2.9273751228132694E-3}]
[null,"Nuts/Seeds","Memo: European Union - 28",3.6508725935010831E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Vanuatu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I132,$C$40:$C$1650,1,0),VLOOKUP(I132,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Vanatu"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"VanuatuVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N132)))","v":2.9273751228132694E-3}]
[null,"Nuts/Seeds","Memo: Former Yugoslavia",6.2548648685982894E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Jamaica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I133,$C$40:$C$1650,1,0),VLOOKUP(I133,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Jamaica"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"JamaicaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N133)))","v":2.955223023309667E-3}]
[null,"Nuts/Seeds","Memo: FSU 15",4.2897395857066783E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Yemen","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I134,$C$40:$C$1650,1,0),VLOOKUP(I134,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Yemen"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"YemenVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N134)))","v":2.9899464020596948E-3}]
[null,"Nuts/Seeds","Memo: G20",5.1508162108632308E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Sri Lanka","South Asia",{"$f":"IFERROR(VLOOKUP(I135,$C$40:$C$1650,1,0),VLOOKUP(I135,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N135)))","v":3.0172745370182796E-3}]
[null,"Nuts/Seeds","Memo: G7",4.2440078671271399E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Cambodia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I136,$C$40:$C$1650,1,0),VLOOKUP(I136,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cambodia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CambodiaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N136)))","v":3.0408803753432523E-3}]
[null,"Nuts/Seeds","Memo: G8",4.2249914572603839E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Kazakhstan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I137,$C$40:$C$1650,1,0),VLOOKUP(I137,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kazakhstan"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KazakhstanVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N137)))","v":3.050835272192162E-3}]
[null,"Nuts/Seeds","Memo: Greenland",1.9888971306928883E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Senegal","Africa",{"$f":"IFERROR(VLOOKUP(I138,$C$40:$C$1650,1,0),VLOOKUP(I138,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Senegal"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SenegalVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N138)))","v":3.0718646694022911E-3}]
[null,"Nuts/Seeds","Memo: IEA and Accession/Association countries",5.1245088753565836E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Benin","Africa",{"$f":"IFERROR(VLOOKUP(I139,$C$40:$C$1650,1,0),VLOOKUP(I139,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Benin"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BeninVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N139)))","v":3.1285730200635484E-3}]
[null,"Nuts/Seeds","Memo: IEA Total",4.2965537220695585E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"China","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I140,$C$40:$C$1650,1,0),VLOOKUP(I140,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"China"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChinaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N140)))","v":3.1602758344560166E-3}]
[null,"Nuts/Seeds","Memo: Oceania (UN)",6.3226110395578669E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Malaysia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I141,$C$40:$C$1650,1,0),VLOOKUP(I141,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Malaysia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MalaysiaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N141)))","v":3.1849170544531505E-3}]
[null,"Nuts/Seeds","Memo: OPEC",5.8192685667713039E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Philippines","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I142,$C$40:$C$1650,1,0),VLOOKUP(I142,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Philippines"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PhilippinesVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N142)))","v":3.1890574500823181E-3}]
[null,"Nuts/Seeds","Mexico",4.99293544953908E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Zimbabwe","Africa",{"$f":"IFERROR(VLOOKUP(I143,$C$40:$C$1650,1,0),VLOOKUP(I143,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Zimbabwe"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ZimbabweVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N143)))","v":3.2694491168519307E-3}]
[null,"Nuts/Seeds","Middle East",6.2151202826204587E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Morocco","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I144,$C$40:$C$1650,1,0),VLOOKUP(I144,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Morocco"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MoroccoVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N144)))","v":3.2961413327060613E-3}]
[null,"Nuts/Seeds","Mongolia",0.10893833798394845,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"India","South Asia",{"$f":"IFERROR(VLOOKUP(I145,$C$40:$C$1650,1,0),VLOOKUP(I145,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"India"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"IndiaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N145)))","v":3.4825963141683876E-3}]
[null,"Nuts/Seeds","Montenegro",5.1747095114636148E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"South Sudan","Africa",{"$f":"IFERROR(VLOOKUP(I146,$C$40:$C$1650,1,0),VLOOKUP(I146,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N146)))","v":3.5527909297796961E-3}]
[null,"Nuts/Seeds","Morocco",6.5585371654687294E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaNuts/Seeds"},null,"Lebanon","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I147,$C$40:$C$1650,1,0),VLOOKUP(I147,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lebanon"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LebanonVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N147)))","v":3.6631109837521464E-3}]
[null,"Nuts/Seeds","Mozambique",1.9034590050502013E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Indonesia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I148,$C$40:$C$1650,1,0),VLOOKUP(I148,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Indonesia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"IndonesiaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N148)))","v":3.6691911782474355E-3}]
[null,"Nuts/Seeds","Myanmar",4.081880224703395E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Mauritius","Africa",{"$f":"IFERROR(VLOOKUP(I149,$C$40:$C$1650,1,0),VLOOKUP(I149,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mauritius"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MauritiusVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N149)))","v":3.7830118834081047E-3}]
[null,"Nuts/Seeds","Namibia",1.7877523643426506E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"South Africa","Africa",{"$f":"IFERROR(VLOOKUP(I150,$C$40:$C$1650,1,0),VLOOKUP(I150,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N150)))","v":4.0282500776122618E-3}]
[null,"Nuts/Seeds","Nepal",1.3748314996498473E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaNuts/Seeds"},null,"Eritrea","Africa",{"$f":"IFERROR(VLOOKUP(I151,$C$40:$C$1650,1,0),VLOOKUP(I151,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Eritrea"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EritreaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N151)))","v":4.0422115889234868E-3}]
[null,"Nuts/Seeds","Netherlands",4.6536582065715142E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Bosnia and Herzegovina","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I152,$C$40:$C$1650,1,0),VLOOKUP(I152,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bosnia and Herzegovina"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Bosnia and HerzegovinaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N152)))","v":4.0884082927968987E-3}]
[null,"Nuts/Seeds","New Zealand",2.238295987421219E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Australia and New Zealand"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Oceania"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"OceaniaNuts/Seeds"},null,"Paraguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I153,$C$40:$C$1650,1,0),VLOOKUP(I153,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Paraguay"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ParaguayAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N153)))","v":4.1449878596195068E-3}]
[null,"Nuts/Seeds","Nicaragua",3.7577709130912317E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Nepal","South Asia",{"$f":"IFERROR(VLOOKUP(I154,$C$40:$C$1650,1,0),VLOOKUP(I154,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nepal"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NepalAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N154)))","v":4.1904463506023722E-3}]
[null,"Nuts/Seeds","Niger",8.4786940072276412E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Haiti","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I155,$C$40:$C$1650,1,0),VLOOKUP(I155,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Haiti"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"HaitiVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N155)))","v":4.2560088558234004E-3}]
[null,"Nuts/Seeds","Nigeria",4.4806357448585396E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Niger","Africa",{"$f":"IFERROR(VLOOKUP(I156,$C$40:$C$1650,1,0),VLOOKUP(I156,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Niger"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NigerVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N156)))","v":4.2774540682577918E-3}]
[null,"Nuts/Seeds","Non-annex I Countries (UNFCCC)",5.6890550424650965E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Ethiopia","Africa",{"$f":"IFERROR(VLOOKUP(I157,$C$40:$C$1650,1,0),VLOOKUP(I157,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ethiopia"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EthiopiaAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N157)))","v":4.3218690896186934E-3}]
[null,"Nuts/Seeds","Non-OECD Americas",2.7633588633641886E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Democratic Republic of the Congo","Africa",{"$f":"IFERROR(VLOOKUP(I158,$C$40:$C$1650,1,0),VLOOKUP(I158,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Democratic Republic of the Congo"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Democratic Republic of the CongoAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N158)))","v":4.3953379324786967E-3}]
[null,"Nuts/Seeds","Non-OECD Asia (excluding China)",6.1318076782957885E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Costa Rica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I159,$C$40:$C$1650,1,0),VLOOKUP(I159,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N159)))","v":4.4689738887986391E-3}]
[null,"Nuts/Seeds","Non-OECD Europe and Eurasia",4.3088491578720876E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Uruguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I160,$C$40:$C$1650,1,0),VLOOKUP(I160,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uruguay"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UruguayAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N160)))","v":4.8434246511361743E-3}]
[null,"Nuts/Seeds","Non-OECD Total",5.5427564991093012E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Mongolia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I161,$C$40:$C$1650,1,0),VLOOKUP(I161,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mongolia"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MongoliaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N161)))","v":5.4696866354172593E-3}]
[null,"Nuts/Seeds","Norway",1.4205933789106924E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Paraguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I162,$C$40:$C$1650,1,0),VLOOKUP(I162,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Paraguay"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ParaguayMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N162)))","v":5.9549231817192221E-3}]
[null,"Nuts/Seeds","OECD Americas",4.2603460128450385E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Nepal","South Asia",{"$f":"IFERROR(VLOOKUP(I163,$C$40:$C$1650,1,0),VLOOKUP(I163,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nepal"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NepalMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N163)))","v":6.006440409402204E-3}]
[null,"Nuts/Seeds","OECD Asia Oceania",5.4170841479770887E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Ethiopia","Africa",{"$f":"IFERROR(VLOOKUP(I164,$C$40:$C$1650,1,0),VLOOKUP(I164,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ethiopia"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EthiopiaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N164)))","v":6.1540604194640636E-3}]
[null,"Nuts/Seeds","OECD Europe",3.484697686290103E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Democratic Republic of the Congo","Africa",{"$f":"IFERROR(VLOOKUP(I165,$C$40:$C$1650,1,0),VLOOKUP(I165,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Democratic Republic of the Congo"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Democratic Republic of the CongoMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N165)))","v":6.2075436256642386E-3}]
[null,"Nuts/Seeds","OECD Total",4.2047225498711066E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Costa Rica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I166,$C$40:$C$1650,1,0),VLOOKUP(I166,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Costa Rica"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Costa RicaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N166)))","v":6.2613738437456799E-3}]
[null,"Nuts/Seeds","Oman",4.7244195825358118E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Botswana","Africa",{"$f":"IFERROR(VLOOKUP(I167,$C$40:$C$1650,1,0),VLOOKUP(I167,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Botswana"},"Vegetables",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BotswanaVegetables"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaVegetables"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N167)))","v":6.2925460619018148E-3}]
[null,"Nuts/Seeds","Other Africa",3.5490867605140843E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Uruguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I168,$C$40:$C$1650,1,0),VLOOKUP(I168,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uruguay"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UruguayMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N168)))","v":6.312429924761556E-3}]
[null,"Nuts/Seeds","Other Asia",4.9441844754178683E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Tajikistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I169,$C$40:$C$1650,1,0),VLOOKUP(I169,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tajikistan"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TajikistanAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N169)))","v":6.4764757691542539E-3}]
[null,"Nuts/Seeds","Other Non-OECD Americas",3.3295782799890955E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Paraguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I170,$C$40:$C$1650,1,0),VLOOKUP(I170,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Paraguay"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ParaguayFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N170)))","v":6.9208780974670623E-3}]
[null,"Nuts/Seeds","Pakistan",4.4138647165196984E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaNuts/Seeds"},null,"Nepal","South Asia",{"$f":"IFERROR(VLOOKUP(I171,$C$40:$C$1650,1,0),VLOOKUP(I171,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nepal"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NepalFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N171)))","v":6.9905619959312612E-3}]
[null,"Nuts/Seeds","Panama",2.7291830470328293E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Kyrgyzstan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I172,$C$40:$C$1650,1,0),VLOOKUP(I172,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kyrgyzstan"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KyrgyzstanAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N172)))","v":7.090539699753793E-3}]
[null,"Nuts/Seeds","Paraguay",1.3481357423750931E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Ethiopia","Africa",{"$f":"IFERROR(VLOOKUP(I173,$C$40:$C$1650,1,0),VLOOKUP(I173,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ethiopia"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EthiopiaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N173)))","v":7.1913267236863483E-3}]
[null,"Nuts/Seeds","People's Republic of China",5.9334716419394654E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Namibia","Africa",{"$f":"IFERROR(VLOOKUP(I174,$C$40:$C$1650,1,0),VLOOKUP(I174,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N174)))","v":7.2473005189530471E-3}]
[null,"Nuts/Seeds","Peru",2.9781785021880915E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Democratic Republic of the Congo","Africa",{"$f":"IFERROR(VLOOKUP(I175,$C$40:$C$1650,1,0),VLOOKUP(I175,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Democratic Republic of the Congo"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Democratic Republic of the CongoFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N175)))","v":7.2577802126149926E-3}]
[null,"Nuts/Seeds","Philippines",6.259461002080588E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Tajikistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I176,$C$40:$C$1650,1,0),VLOOKUP(I176,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tajikistan"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TajikistanMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N176)))","v":7.2712313344140342E-3}]
[null,"Nuts/Seeds","Bolivia (Plurinational State of)",4.5147981014210761E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Uruguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I177,$C$40:$C$1650,1,0),VLOOKUP(I177,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uruguay"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UruguayFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N177)))","v":7.3185964043094801E-3}]
[null,"Nuts/Seeds","Poland",6.547799710347961E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Costa Rica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I178,$C$40:$C$1650,1,0),VLOOKUP(I178,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Costa Rica"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Costa RicaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N178)))","v":7.324738092351445E-3}]
[null,"Nuts/Seeds","Portugal",3.9743680150975111E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Kyrgyzstan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I179,$C$40:$C$1650,1,0),VLOOKUP(I179,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kyrgyzstan"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KyrgyzstanMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N179)))","v":7.7674010227186882E-3}]
[null,"Nuts/Seeds","Qatar",4.8891892770775623E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Namibia","Africa",{"$f":"IFERROR(VLOOKUP(I180,$C$40:$C$1650,1,0),VLOOKUP(I180,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Namibia"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NamibiaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N180)))","v":7.8064717719132266E-3}]
[null,"Nuts/Seeds","Republic of Moldova",4.8557772027651297E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Mozambique","Africa",{"$f":"IFERROR(VLOOKUP(I181,$C$40:$C$1650,1,0),VLOOKUP(I181,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mozambique"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MozambiqueAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N181)))","v":8.0847594399543424E-3}]
[null,"Nuts/Seeds","Congo",3.7602165119108653E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Paraguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I182,$C$40:$C$1650,1,0),VLOOKUP(I182,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Paraguay"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ParaguayCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N182)))","v":8.2608858632286664E-3}]
[null,"Nuts/Seeds","Romania",3.8368860212284167E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Mozambique","Africa",{"$f":"IFERROR(VLOOKUP(I183,$C$40:$C$1650,1,0),VLOOKUP(I183,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mozambique"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MozambiqueMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N183)))","v":8.303277864549697E-3}]
[null,"Nuts/Seeds","Russian Federation",3.8843708045564203E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Nepal","South Asia",{"$f":"IFERROR(VLOOKUP(I184,$C$40:$C$1650,1,0),VLOOKUP(I184,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nepal"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NepalCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N184)))","v":8.3603601319703364E-3}]
[null,"Nuts/Seeds","Saudi Arabia",6.4860005063239509E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Tajikistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I185,$C$40:$C$1650,1,0),VLOOKUP(I185,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tajikistan"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TajikistanFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N185)))","v":8.4364510379593451E-3}]
[null,"Nuts/Seeds","Senegal",6.001840999799031E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Ethiopia","Africa",{"$f":"IFERROR(VLOOKUP(I186,$C$40:$C$1650,1,0),VLOOKUP(I186,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ethiopia"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EthiopiaCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N186)))","v":8.6491381433237858E-3}]
[null,"Nuts/Seeds","Serbia",7.0614287941477241E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Uruguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I187,$C$40:$C$1650,1,0),VLOOKUP(I187,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uruguay"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UruguayCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N187)))","v":8.7063387309740947E-3}]
[null,"Nuts/Seeds","Singapore",4.2037552759727682E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Democratic Republic of the Congo","Africa",{"$f":"IFERROR(VLOOKUP(I188,$C$40:$C$1650,1,0),VLOOKUP(I188,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Democratic Republic of the Congo"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Democratic Republic of the CongoCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N188)))","v":8.7357582081304466E-3}]
[null,"Nuts/Seeds","Slovak Republic",2.4935646592912603E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Costa Rica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I189,$C$40:$C$1650,1,0),VLOOKUP(I189,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Costa Rica"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Costa RicaCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N189)))","v":8.8231702278153412E-3}]
[null,"Nuts/Seeds","Slovenia",3.2283238914065787E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Togo","Africa",{"$f":"IFERROR(VLOOKUP(I190,$C$40:$C$1650,1,0),VLOOKUP(I190,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Togo"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TogoMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N190)))","v":8.8350790629119803E-3}]
[null,"Nuts/Seeds","South Africa",7.8525794736239954E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Kyrgyzstan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I191,$C$40:$C$1650,1,0),VLOOKUP(I191,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kyrgyzstan"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KyrgyzstanFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N191)))","v":9.0583618240804749E-3}]
[null,"Nuts/Seeds","South Sudan",6.9225966785695814E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Namibia","Africa",{"$f":"IFERROR(VLOOKUP(I192,$C$40:$C$1650,1,0),VLOOKUP(I192,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Namibia"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NamibiaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N192)))","v":9.0861040495436932E-3}]
[null,"Nuts/Seeds","Spain",3.4144855948248655E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Paraguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I193,$C$40:$C$1650,1,0),VLOOKUP(I193,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Paraguay"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ParaguayPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N193)))","v":9.1463341084489849E-3}]
[null,"Nuts/Seeds","Sri Lanka",5.873836935207509E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaNuts/Seeds"},null,"Togo","Africa",{"$f":"IFERROR(VLOOKUP(I194,$C$40:$C$1650,1,0),VLOOKUP(I194,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Togo"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TogoAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N194)))","v":9.1911753725005246E-3}]
[null,"Nuts/Seeds","Sudan",3.6171846755889865E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaNuts/Seeds"},null,"Nepal","South Asia",{"$f":"IFERROR(VLOOKUP(I195,$C$40:$C$1650,1,0),VLOOKUP(I195,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nepal"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NepalPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N195)))","v":9.2684332288287645E-3}]
[null,"Nuts/Seeds","Suriname",4.1746635439591159E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Uruguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I196,$C$40:$C$1650,1,0),VLOOKUP(I196,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uruguay"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UruguayPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N196)))","v":9.6182372873487958E-3}]
[null,"Nuts/Seeds","Sweden",1.4135248535259786E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Ethiopia","Africa",{"$f":"IFERROR(VLOOKUP(I197,$C$40:$C$1650,1,0),VLOOKUP(I197,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ethiopia"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EthiopiaPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N197)))","v":9.6246868059923149E-3}]
[null,"Nuts/Seeds","Switzerland",1.5271020773602673E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeNuts/Seeds"},null,"Mozambique","Africa",{"$f":"IFERROR(VLOOKUP(I198,$C$40:$C$1650,1,0),VLOOKUP(I198,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mozambique"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MozambiqueFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N198)))","v":9.6655938478259536E-3}]
[null,"Nuts/Seeds","Syrian Arab Republic",5.977533017290599E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Democratic Republic of the Congo","Africa",{"$f":"IFERROR(VLOOKUP(I199,$C$40:$C$1650,1,0),VLOOKUP(I199,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Democratic Republic of the Congo"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Democratic Republic of the CongoPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N199)))","v":9.7260689866328857E-3}]
[null,"Nuts/Seeds","Tajikistan",1.6247441050690672E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Costa Rica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I200,$C$40:$C$1650,1,0),VLOOKUP(I200,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Costa Rica"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Costa RicaPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N200)))","v":9.8284837038044859E-3}]
[null,"Nuts/Seeds","Thailand",4.729191048307408E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Tajikistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I201,$C$40:$C$1650,1,0),VLOOKUP(I201,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tajikistan"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TajikistanCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N201)))","v":1.004639212089615E-2}]
[null,"Nuts/Seeds","Togo",1.9723059457137416E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Zambia","Africa",{"$f":"IFERROR(VLOOKUP(I202,$C$40:$C$1650,1,0),VLOOKUP(I202,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Zambia"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ZambiaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N202)))","v":1.0058104193382326E-2}]
[null,"Nuts/Seeds","Trinidad and Tobago",4.6567621110745763E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Brazil","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I203,$C$40:$C$1650,1,0),VLOOKUP(I203,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Brazil"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BrazilMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N203)))","v":1.0177247275562577E-2}]
[null,"Nuts/Seeds","Tunisia",4.3743839836116863E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaNuts/Seeds"},null,"Paraguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I204,$C$40:$C$1650,1,0),VLOOKUP(I204,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Paraguay"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ParaguayFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N204)))","v":1.0244384950442526E-2}]
[null,"Nuts/Seeds","Turkey",4.6131088847965428E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Togo","Africa",{"$f":"IFERROR(VLOOKUP(I205,$C$40:$C$1650,1,0),VLOOKUP(I205,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Togo"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TogoFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N205)))","v":1.0249640022000749E-2}]
[null,"Nuts/Seeds","Turkmenistan",7.6803036066532576E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Nepal","South Asia",{"$f":"IFERROR(VLOOKUP(I206,$C$40:$C$1650,1,0),VLOOKUP(I206,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nepal"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NepalFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N206)))","v":1.0397806644730976E-2}]
[null,"Nuts/Seeds","Ukraine",3.8932494969603847E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Uruguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I207,$C$40:$C$1650,1,0),VLOOKUP(I207,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uruguay"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UruguayFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N207)))","v":1.0743508185672608E-2}]
[null,"Nuts/Seeds","United Arab Emirates",5.9954942114254894E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Colombia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I208,$C$40:$C$1650,1,0),VLOOKUP(I208,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Colombia"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ColombiaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N208)))","v":1.074679462348278E-2}]
[null,"Nuts/Seeds","United Kingdom",3.0621356074114054E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Ethiopia","Africa",{"$f":"IFERROR(VLOOKUP(I209,$C$40:$C$1650,1,0),VLOOKUP(I209,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ethiopia"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EthiopiaFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N209)))","v":1.0848279801924578E-2}]
[null,"Nuts/Seeds","United Republic of Tanzania",3.4571900429501257E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Kyrgyzstan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I210,$C$40:$C$1650,1,0),VLOOKUP(I210,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kyrgyzstan"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KyrgyzstanCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N210)))","v":1.0863981831330369E-2}]
[null,"Nuts/Seeds","United States",4.3056635146489247E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Namibia","Africa",{"$f":"IFERROR(VLOOKUP(I211,$C$40:$C$1650,1,0),VLOOKUP(I211,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Namibia"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NamibiaCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N211)))","v":1.086749794315631E-2}]
[null,"Nuts/Seeds","Uruguay",1.402522826286612E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanNuts/Seeds"},null,"Brazil","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I212,$C$40:$C$1650,1,0),VLOOKUP(I212,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Brazil"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BrazilAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N212)))","v":1.0890381343022462E-2}]
[null,"Nuts/Seeds","Uzbekistan",5.1624625701729231E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Democratic Republic of the Congo","Africa",{"$f":"IFERROR(VLOOKUP(I213,$C$40:$C$1650,1,0),VLOOKUP(I213,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Democratic Republic of the Congo"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Democratic Republic of the CongoFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N213)))","v":1.0969616378495233E-2}]
[null,"Nuts/Seeds","Viet Nam",3.8629588297056358E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificNuts/Seeds"},null,"Costa Rica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I214,$C$40:$C$1650,1,0),VLOOKUP(I214,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Costa Rica"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Costa RicaFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N214)))","v":1.1092347628359804E-2}]
[null,"Nuts/Seeds","World",4.7506249129759773E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Tajikistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I215,$C$40:$C$1650,1,0),VLOOKUP(I215,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tajikistan"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TajikistanPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N215)))","v":1.110608816664772E-2}]
[null,"Nuts/Seeds","Yemen",5.7639522306373009E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaNuts/Seeds"},null,"Zambia","Africa",{"$f":"IFERROR(VLOOKUP(I216,$C$40:$C$1650,1,0),VLOOKUP(I216,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Zambia"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ZambiaAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N216)))","v":1.1378925430489854E-2}]
[null,"Nuts/Seeds","Zambia",2.2295321869612989E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Mozambique","Africa",{"$f":"IFERROR(VLOOKUP(I217,$C$40:$C$1650,1,0),VLOOKUP(I217,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mozambique"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MozambiqueCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N217)))","v":1.1562678605239161E-2}]
[null,"Nuts/Seeds","Zimbabwe",6.2972513436863942E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaNuts/Seeds"},null,"Paraguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I218,$C$40:$C$1650,1,0),VLOOKUP(I218,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Paraguay"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ParaguayTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N218)))","v":1.1642056372797107E-2}]
[null,"Tubers/Root Crops","Africa",5.3123672746154697E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Zambia","Africa",{"$f":"IFERROR(VLOOKUP(I219,$C$40:$C$1650,1,0),VLOOKUP(I219,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Zambia"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ZambiaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N219)))","v":1.1657749373849172E-2}]
[null,"Tubers/Root Crops","Albania",1.2944388102635429E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeTubers/Root Crops"},null,"El Salvador","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I220,$C$40:$C$1650,1,0),VLOOKUP(I220,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"El Salvador"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"El SalvadorMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N220)))","v":1.1792114851448659E-2}]
[null,"Tubers/Root Crops","Algeria",4.7898058803149374E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaTubers/Root Crops"},null,"Nepal","South Asia",{"$f":"IFERROR(VLOOKUP(I221,$C$40:$C$1650,1,0),VLOOKUP(I221,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nepal"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NepalTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N221)))","v":1.1840603070627755E-2}]
[null,"Tubers/Root Crops","Angola",4.8138703317811754E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaTubers/Root Crops"},null,"Colombia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I222,$C$40:$C$1650,1,0),VLOOKUP(I222,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Colombia"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ColombiaAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N222)))","v":1.1870003390138086E-2}]
[null,"Tubers/Root Crops","Annex B Countries (Kyoto Protocol)",3.5385940804595367E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Brazil","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I223,$C$40:$C$1650,1,0),VLOOKUP(I223,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Brazil"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BrazilFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N223)))","v":1.1913879556139984E-2}]
[null,"Tubers/Root Crops","Annex I Countries (UNFCCC)",3.8934882922124874E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Namibia","Africa",{"$f":"IFERROR(VLOOKUP(I224,$C$40:$C$1650,1,0),VLOOKUP(I224,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Namibia"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NamibiaPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N224)))","v":1.2048604276990543E-2}]
[null,"Tubers/Root Crops","Annex I EIT (UNFCCC)",4.0584760025823077E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Panama","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I225,$C$40:$C$1650,1,0),VLOOKUP(I225,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Panama"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PanamaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N225)))","v":1.2049279287212025E-2}]
[null,"Tubers/Root Crops","Annex II Asia Oceania (UNFCCC)",5.1619195361211262E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Kyrgyzstan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I226,$C$40:$C$1650,1,0),VLOOKUP(I226,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kyrgyzstan"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KyrgyzstanPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N226)))","v":1.2066611854712023E-2}]
[null,"Tubers/Root Crops","Annex II Countries (UNFCCC)",3.827651358848163E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Uruguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I227,$C$40:$C$1650,1,0),VLOOKUP(I227,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uruguay"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UruguayTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N227)))","v":1.2166963378296885E-2}]
[null,"Tubers/Root Crops","Annex II Europe (UNFCCC)",2.9711999526884015E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Togo","Africa",{"$f":"IFERROR(VLOOKUP(I228,$C$40:$C$1650,1,0),VLOOKUP(I228,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Togo"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TogoCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N228)))","v":1.220351176208396E-2}]
[null,"Tubers/Root Crops","Annex II North America (UNFCCC)",3.9749445704596417E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Ecuador","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I229,$C$40:$C$1650,1,0),VLOOKUP(I229,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ecuador"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EcuadorMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N229)))","v":1.2204147090086178E-2}]
[null,"Tubers/Root Crops","Argentina",3.7412005859587365E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanTubers/Root Crops"},null,"Kenya","Africa",{"$f":"IFERROR(VLOOKUP(I230,$C$40:$C$1650,1,0),VLOOKUP(I230,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kenya"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KenyaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N230)))","v":1.2218938271954175E-2}]
[null,"Tubers/Root Crops","Armenia",2.398654321282373E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaTubers/Root Crops"},null,"Tajikistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I231,$C$40:$C$1650,1,0),VLOOKUP(I231,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tajikistan"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TajikistanFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N231)))","v":1.2415699353623966E-2}]
[null,"Tubers/Root Crops","Australia",6.4811883115449637E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Australia and New Zealand"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Oceania"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"OceaniaTubers/Root Crops"},null,"Ethiopia","Africa",{"$f":"IFERROR(VLOOKUP(I232,$C$40:$C$1650,1,0),VLOOKUP(I232,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ethiopia"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EthiopiaTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N232)))","v":1.2428297771448172E-2}]
[null,"Tubers/Root Crops","Austria",2.4085618528114083E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeTubers/Root Crops"},null,"Colombia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I233,$C$40:$C$1650,1,0),VLOOKUP(I233,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Colombia"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ColombiaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N233)))","v":1.2572780610766518E-2}]
[null,"Tubers/Root Crops","Azerbaijan",4.6750287041430263E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaTubers/Root Crops"},null,"Democratic Republic of the Congo","Africa",{"$f":"IFERROR(VLOOKUP(I234,$C$40:$C$1650,1,0),VLOOKUP(I234,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Democratic Republic of the Congo"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Democratic Republic of the CongoTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N234)))","v":1.2577774717357351E-2}]
[null,"Tubers/Root Crops","Bahrain",6.1381398444176158E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaTubers/Root Crops"},null,"Costa Rica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I235,$C$40:$C$1650,1,0),VLOOKUP(I235,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Costa Rica"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Costa RicaTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N235)))","v":1.2729223329494515E-2}]
[null,"Tubers/Root Crops","Bangladesh",4.7853082940457842E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaTubers/Root Crops"},null,"Mozambique","Africa",{"$f":"IFERROR(VLOOKUP(I236,$C$40:$C$1650,1,0),VLOOKUP(I236,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mozambique"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MozambiquePulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N236)))","v":1.2820866733104092E-2}]
[null,"Tubers/Root Crops","Belarus",3.8859086235349588E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaTubers/Root Crops"},null,"Peru","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I237,$C$40:$C$1650,1,0),VLOOKUP(I237,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Peru"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PeruMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N237)))","v":1.3168027269121481E-2}]
[null,"Tubers/Root Crops","Belgium",2.4678624868009435E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeTubers/Root Crops"},null,"Paraguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I238,$C$40:$C$1650,1,0),VLOOKUP(I238,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Paraguay"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ParaguayNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N238)))","v":1.3481357423750931E-2}]
[null,"Tubers/Root Crops","Benin",5.5355824656359312E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaTubers/Root Crops"},null,"Togo","Africa",{"$f":"IFERROR(VLOOKUP(I239,$C$40:$C$1650,1,0),VLOOKUP(I239,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Togo"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TogoPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N239)))","v":1.3489226067800869E-2}]
[null,"Tubers/Root Crops","Venezuela (Bolivarian Republic of)",3.2669040808969721E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanTubers/Root Crops"},null,"Namibia","Africa",{"$f":"IFERROR(VLOOKUP(I240,$C$40:$C$1650,1,0),VLOOKUP(I240,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Namibia"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NamibiaFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N240)))","v":1.3517746079157645E-2}]
[null,"Tubers/Root Crops","Bosnia and Herzegovina",7.2281878504347058E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeTubers/Root Crops"},null,"Kyrgyzstan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I241,$C$40:$C$1650,1,0),VLOOKUP(I241,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kyrgyzstan"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KyrgyzstanFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N241)))","v":1.356864490199537E-2}]
[null,"Tubers/Root Crops","Botswana",0.11120670422431471,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaTubers/Root Crops"},null,"El Salvador","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I242,$C$40:$C$1650,1,0),VLOOKUP(I242,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"El Salvador"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"El SalvadorAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N242)))","v":1.3671560309537756E-2}]
[null,"Tubers/Root Crops","Brazil",2.0777489034731242E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanTubers/Root Crops"},null,"Nepal","South Asia",{"$f":"IFERROR(VLOOKUP(I243,$C$40:$C$1650,1,0),VLOOKUP(I243,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nepal"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NepalNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N243)))","v":1.3748314996498473E-2}]
[null,"Tubers/Root Crops","Brunei Darussalam",5.6644105545026795E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificTubers/Root Crops"},null,"El Salvador","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I244,$C$40:$C$1650,1,0),VLOOKUP(I244,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"El Salvador"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"El SalvadorFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N244)))","v":1.3782485957916656E-2}]
[null,"Tubers/Root Crops","Bulgaria",4.8116225656298139E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaTubers/Root Crops"},null,"Zambia","Africa",{"$f":"IFERROR(VLOOKUP(I245,$C$40:$C$1650,1,0),VLOOKUP(I245,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Zambia"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ZambiaCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N245)))","v":1.3862437316711298E-2}]
[null,"Tubers/Root Crops","Cambodia",5.3656662012690232E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificTubers/Root Crops"},null,"Panama","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I246,$C$40:$C$1650,1,0),VLOOKUP(I246,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Panama"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PanamaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N246)))","v":1.4004692698282696E-2}]
[null,"Tubers/Root Crops","Cameroon",3.1171693922018875E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaTubers/Root Crops"},null,"Uruguay","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I247,$C$40:$C$1650,1,0),VLOOKUP(I247,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uruguay"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UruguayNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N247)))","v":1.402522826286612E-2}]
[null,"Tubers/Root Crops","Canada",2.2479742133404979E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern America"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"North America"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"North AmericaTubers/Root Crops"},null,"Tajikistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I248,$C$40:$C$1650,1,0),VLOOKUP(I248,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tajikistan"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TajikistanTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N248)))","v":1.4075453038686465E-2}]
[null,"Tubers/Root Crops","Chile",4.2665433680321087E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanTubers/Root Crops"},null,"Kenya","Africa",{"$f":"IFERROR(VLOOKUP(I249,$C$40:$C$1650,1,0),VLOOKUP(I249,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kenya"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KenyaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N249)))","v":1.4253533574912125E-2}]
[null,"Tubers/Root Crops","China",5.5676573048245505E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificTubers/Root Crops"},null,"Ecuador","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I250,$C$40:$C$1650,1,0),VLOOKUP(I250,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ecuador"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EcuadorFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N250)))","v":1.4266008656037501E-2}]
[null,"Tubers/Root Crops","Taiwan",5.5561988785791529E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificTubers/Root Crops"},null,"Ecuador","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I251,$C$40:$C$1650,1,0),VLOOKUP(I251,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ecuador"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EcuadorAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N251)))","v":1.4343806239202587E-2}]
[null,"Tubers/Root Crops","Curacao/Netherlands Antilles",4.1497456635433388E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Panama","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I257,$C$40:$C$1650,1,0),VLOOKUP(I257,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Panama"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PanamaAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N257)))","v":1.4584242406918897E-2}]
[null,"Tubers/Root Crops","Denmark",2.2766127862046952E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeTubers/Root Crops"},null,"Cameroon","Africa",{"$f":"IFERROR(VLOOKUP(I262,$C$40:$C$1650,1,0),VLOOKUP(I262,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cameroon"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CameroonMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N262)))","v":1.5294404294258856E-2}]
[null,"Tubers/Root Crops","Ethiopia",1.2428297771448172E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaTubers/Root Crops"},null,"Brazil","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I269,$C$40:$C$1650,1,0),VLOOKUP(I269,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Brazil"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BrazilPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N269)))","v":1.6012376238809536E-2}]
[null,"Tubers/Root Crops","Germany",4.0589124701300508E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeTubers/Root Crops"},null,"Peru","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I274,$C$40:$C$1650,1,0),VLOOKUP(I274,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Peru"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PeruAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N274)))","v":1.6520487674305868E-2}]
[null,"Tubers/Root Crops","Haiti",7.4155544131973811E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanTubers/Root Crops"},null,"Bahamas","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I279,$C$40:$C$1650,1,0),VLOOKUP(I279,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bahamas"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BahamasMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N279)))","v":1.6717404713021567E-2}]
[null,"Tubers/Root Crops","Iraq",7.2938763687089347E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaTubers/Root Crops"},null,"Guyana","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I286,$C$40:$C$1650,1,0),VLOOKUP(I286,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Guyana"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GuyanaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N286)))","v":1.6717404713021567E-2}]
[null,"Tubers/Root Crops","Jamaica",5.1261662354772003E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanTubers/Root Crops"},null,"Colombia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I291,$C$40:$C$1650,1,0),VLOOKUP(I291,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N291)))","v":1.6873152068079648E-2}]
[null,"Tubers/Root Crops","Kazakhstan",5.2861681654060043E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaTubers/Root Crops"},null,"Zambia","Africa",{"$f":"IFERROR(VLOOKUP(I294,$C$40:$C$1650,1,0),VLOOKUP(I294,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Zambia"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ZambiaFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N294)))","v":1.709550087331237E-2}]
[null,"Tubers/Root Crops","Lithuania",1.7290649639752898E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeTubers/Root Crops"},null,"Kyrgyzstan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I303,$C$40:$C$1650,1,0),VLOOKUP(I303,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N303)))","v":1.8066399415804946E-2}]
[null,"Tubers/Root Crops","Memo: Americas (UN)",3.5241685260627764E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"El Salvador","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I308,$C$40:$C$1650,1,0),VLOOKUP(I308,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"El Salvador"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"El SalvadorPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N308)))","v":1.8454957523195217E-2}]
[null,"Tubers/Root Crops","Memo: European Union - 28",3.1367056428821267E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Venezuela (Bolivarian Republic of)","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I311,$C$40:$C$1650,1,0),VLOOKUP(I311,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Venezuela (Bolivarian Republic of)"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Venezuela (Bolivarian Republic of)Flour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N311)))","v":1.8712577074350197E-2}]
[null,"Tubers/Root Crops","Memo: G7",3.648182448918702E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Colombia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I315,$C$40:$C$1650,1,0),VLOOKUP(I315,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Colombia"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ColombiaFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N315)))","v":1.9044463513217147E-2}]
[null,"Tubers/Root Crops","Memo: Oceania (UN)",5.438433401994696E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Congo","Africa",{"$f":"IFERROR(VLOOKUP(I320,$C$40:$C$1650,1,0),VLOOKUP(I320,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Congo"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CongoFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N320)))","v":1.937801108575004E-2}]
[null,"Tubers/Root Crops","Myanmar",3.5146002866429077E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificTubers/Root Crops"},null,"Grenada","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I328,$C$40:$C$1650,1,0),VLOOKUP(I328,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Grenada"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GrenadaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N328)))","v":1.9501620792938924E-2}]
[null,"Tubers/Root Crops","New Zealand",1.928191512383759E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Australia and New Zealand"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Oceania"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"OceaniaTubers/Root Crops"},null,"Saint Kitts and Nevis","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I332,$C$40:$C$1650,1,0),VLOOKUP(I332,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Saint Kitts and Nevis"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Saint Kitts and NevisFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N332)))","v":1.9501620792938924E-2}]
[null,"Tubers/Root Crops","Non-OECD Asia (excluding China)",5.2862040000100058E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Viet Nam","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I338,$C$40:$C$1650,1,0),VLOOKUP(I338,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N338)))","v":2.0173993176487621E-2}]
[null,"Tubers/Root Crops","OECD Total",3.6279828284711615E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Panama","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I345,$C$40:$C$1650,1,0),VLOOKUP(I345,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Panama"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PanamaFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N345)))","v":2.0734464491551429E-2}]
[null,"Tubers/Root Crops","Other Non-OECD Americas",2.8742730759264156E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Trinidad and Tobago","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I349,$C$40:$C$1650,1,0),VLOOKUP(I349,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Trinidad and Tobago"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Trinidad and TobagoMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N349)))","v":2.0870190116299547E-2}]
[null,"Tubers/Root Crops","Peru",2.5724753424531843E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanTubers/Root Crops"},null,"Maldives","South Asia",{"$f":"IFERROR(VLOOKUP(I354,$C$40:$C$1650,1,0),VLOOKUP(I354,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Maldives"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MaldivesMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N354)))","v":2.1047932224342418E-2}]
[null,"Tubers/Root Crops","Congo",3.2506943653309681E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaTubers/Root Crops"},null,"Comoros","Africa",{"$f":"IFERROR(VLOOKUP(I361,$C$40:$C$1650,1,0),VLOOKUP(I361,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Comoros"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ComorosMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N361)))","v":2.1284255020508635E-2}]
[null,"Tubers/Root Crops","Singapore",3.6367076539689056E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificTubers/Root Crops"},null,"Madagascar","Africa",{"$f":"IFERROR(VLOOKUP(I367,$C$40:$C$1650,1,0),VLOOKUP(I367,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Madagascar"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MadagascarMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N367)))","v":2.1284255020508635E-2}]
[null,"Tubers/Root Crops","South Sudan",5.9916088457642055E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaTubers/Root Crops"},null,"Rwanda","Africa",{"$f":"IFERROR(VLOOKUP(I371,$C$40:$C$1650,1,0),VLOOKUP(I371,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Rwanda"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"RwandaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N371)))","v":2.1284255020508635E-2}]
[null,"Tubers/Root Crops","Syrian Arab Republic",5.1778481069056831E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaTubers/Root Crops"},null,"Kenya","Africa",{"$f":"IFERROR(VLOOKUP(I378,$C$40:$C$1650,1,0),VLOOKUP(I378,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kenya"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KenyaFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N378)))","v":2.1370360659735757E-2}]
[null,"Tubers/Root Crops","Tajikistan",1.4075453038686465E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaTubers/Root Crops"},null,"United Republic of Tanzania","Africa",{"$f":"IFERROR(VLOOKUP(I379,$C$40:$C$1650,1,0),VLOOKUP(I379,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"United Republic of Tanzania"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"United Republic of TanzaniaCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N379)))","v":2.1447043214483812E-2}]
[null,"Tubers/Root Crops","United Kingdom",2.655516709988081E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Honduras","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I388,$C$40:$C$1650,1,0),VLOOKUP(I388,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Honduras"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"HondurasAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N388)))","v":2.1977339737221907E-2}]
[null,"Tubers/Root Crops","United States",3.7347644264102892E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Bahamas","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I390,$C$40:$C$1650,1,0),VLOOKUP(I390,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bahamas"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BahamasAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N390)))","v":2.2096988625660629E-2}]
[null,"Tubers/Root Crops","Zambia",1.9352207847001833E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaTubers/Root Crops"},null,"Guinea-Bissau","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I396,$C$40:$C$1650,1,0),VLOOKUP(I396,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N396)))","v":2.2096988625660629E-2}]
[null,"Fruits","Annex II Asia Oceania (UNFCCC)",4.4850084760730075E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Pakistan","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I405,$C$40:$C$1650,1,0),VLOOKUP(I405,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Pakistan"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PakistanFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N405)))","v":2.263982310378131E-2}]
[null,"Fruits","Annex II North America (UNFCCC)",3.4548312092664575E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Nicaragua","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I408,$C$40:$C$1650,1,0),VLOOKUP(I408,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nicaragua"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NicaraguaCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N408)))","v":2.2875173755101817E-2}]
[null,"Fruits","Azerbaijan",4.0655384360865063E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaFruits"},null,"Bangladesh","South Asia",{"$f":"IFERROR(VLOOKUP(I413,$C$40:$C$1650,1,0),VLOOKUP(I413,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bangladesh"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BangladeshMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N413)))","v":2.3369655858222777E-2}]
[null,"Fruits","Belarus",3.380401615095454E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaFruits"},null,"Bahamas","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I416,$C$40:$C$1650,1,0),VLOOKUP(I416,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bahamas"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BahamasCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N416)))","v":2.339932810370202E-2}]
[null,"Fruits","Cambodia",4.6721974286862394E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificFruits"},null,"Saint Lucia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I425,$C$40:$C$1650,1,0),VLOOKUP(I425,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Saint Lucia"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Saint LuciaCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N425)))","v":2.339932810370202E-2}]
[null,"Fruits","Taiwan",4.8406883755103262E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificFruits"},null,"Dominican Republic","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I430,$C$40:$C$1650,1,0),VLOOKUP(I430,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Dominican Republic"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Dominican RepublicMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N430)))","v":2.3718827396967262E-2}]
[null,"Fruits","Cote d'Ivoire",3.3033608335256523E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaFruits"},null,"Argentina","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I433,$C$40:$C$1650,1,0),VLOOKUP(I433,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Argentina"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ArgentinaAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N433)))","v":2.4001380438212296E-2}]
[null,"Fruits","Dominican Republic",4.1888599596926493E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanFruits"},null,"Kenya","Africa",{"$f":"IFERROR(VLOOKUP(I442,$C$40:$C$1650,1,0),VLOOKUP(I442,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kenya"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KenyaTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N442)))","v":2.441840413231958E-2}]
[null,"Fruits","Ethiopia",1.0848279801924578E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaFruits"},null,"Sudan","Africa",{"$f":"IFERROR(VLOOKUP(I448,$C$40:$C$1650,1,0),VLOOKUP(I448,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N448)))","v":2.4691774824499288E-2}]
[null,"Fruits","Finland",1.70911175671845E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeFruits"},null,"Ecuador","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I449,$C$40:$C$1650,1,0),VLOOKUP(I449,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ecuador"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EcuadorTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N449)))","v":2.4697444723973418E-2}]
[null,"Fruits","Ghana",2.543319320240903E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaFruits"},null,"Central African Republic","Africa",{"$f":"IFERROR(VLOOKUP(I454,$C$40:$C$1650,1,0),VLOOKUP(I454,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Central African Republic"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Central African RepublicFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N454)))","v":2.4806674131786874E-2}]
[null,"Fruits","Honduras",2.9383649072776095E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanFruits"},null,"Gambia","Africa",{"$f":"IFERROR(VLOOKUP(I459,$C$40:$C$1650,1,0),VLOOKUP(I459,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Gambia"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GambiaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N459)))","v":2.4806674131786874E-2}]
[null,"Fruits","Ireland",3.285179950830823E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeFruits"},null,"Rwanda","Africa",{"$f":"IFERROR(VLOOKUP(I466,$C$40:$C$1650,1,0),VLOOKUP(I466,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Rwanda"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"RwandaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N466)))","v":2.4806674131786874E-2}]
[null,"Fruits","Japan",4.109776492220437E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificFruits"},null,"Uganda","Africa",{"$f":"IFERROR(VLOOKUP(I471,$C$40:$C$1650,1,0),VLOOKUP(I471,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uganda"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UgandaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N471)))","v":2.4806674131786874E-2}]
[null,"Fruits","Lebanon",5.5438471323545215E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaFruits"},null,"Micronesia (Federated States of)","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I480,$C$40:$C$1650,1,0),VLOOKUP(I480,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Micronesia"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Micronesia (Federated States of)Mycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N480)))","v":2.5377397157230894E-2}]
[null,"Fruits","Luxembourg",2.0718872118509625E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeFruits"},null,"Solomon Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I483,$C$40:$C$1650,1,0),VLOOKUP(I483,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N483)))","v":2.5377397157230894E-2}]
[null,"Fruits","Memo: Asia (UN)",4.5722005404287135E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Ghana","Africa",{"$f":"IFERROR(VLOOKUP(I488,$C$40:$C$1650,1,0),VLOOKUP(I488,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ghana"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GhanaFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N488)))","v":2.543319320240903E-2}]
[null,"Fruits","Memo: Former Yugoslavia",4.7116246046712128E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Colombia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I491,$C$40:$C$1650,1,0),VLOOKUP(I491,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Colombia"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ColombiaNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N491)))","v":2.5644577683334994E-2}]
[null,"Fruits","Memo: OPEC",4.3923520277958747E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Grenada","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I500,$C$40:$C$1650,1,0),VLOOKUP(I500,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Grenada"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GrenadaPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N500)))","v":2.5997868603267124E-2}]
[null,"Fruits","Morocco",4.9558366158183501E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaFruits"},null,"Saint Lucia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I505,$C$40:$C$1650,1,0),VLOOKUP(I505,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Saint Lucia"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Saint LuciaPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N505)))","v":2.5997868603267124E-2}]
[null,"Fruits","Namibia",1.3517746079157645E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaFruits"},null,"Sri Lanka","South Asia",{"$f":"IFERROR(VLOOKUP(I508,$C$40:$C$1650,1,0),VLOOKUP(I508,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sri Lanka"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Sri LankaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N508)))","v":2.6211940538397007E-2}]
[null,"Fruits","Non-OECD Asia (excluding China)",4.6455604549850961E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Pakistan","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I517,$C$40:$C$1650,1,0),VLOOKUP(I517,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Pakistan"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PakistanCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N517)))","v":2.7028050862933289E-2}]
[null,"Fruits","Non-OECD Europe and Eurasia",3.2651630966283748E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Benin","Africa",{"$f":"IFERROR(VLOOKUP(I518,$C$40:$C$1650,1,0),VLOOKUP(I518,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Benin"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BeninMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N518)))","v":2.7068366134981574E-2}]
[null,"Fruits","Oman",3.5854685990019265E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaFruits"},null,"Nigeria","Africa",{"$f":"IFERROR(VLOOKUP(I525,$C$40:$C$1650,1,0),VLOOKUP(I525,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nigeria"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NigeriaAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N525)))","v":2.7393466653429788E-2}]
[null,"Fruits","Pakistan",3.3526400230918595E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaFruits"},null,"Sudan","Africa",{"$f":"IFERROR(VLOOKUP(I529,$C$40:$C$1650,1,0),VLOOKUP(I529,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sudan"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SudanFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N529)))","v":2.7613009255157167E-2}]
[null,"Fruits","Philippines",4.7595366120237938E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificFruits"},null,"El Salvador","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I534,$C$40:$C$1650,1,0),VLOOKUP(I534,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"El Salvador"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"El SalvadorNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N534)))","v":2.7920394189819696E-2}]
[null,"Fruits","Romania",2.921759308636962E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaFruits"},null,"Turkey","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I541,$C$40:$C$1650,1,0),VLOOKUP(I541,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Turkey"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TurkeyCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N541)))","v":2.8571354868622924E-2}]
[null,"Fruits","Slovak Republic",1.9011982704218038E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Ecuador","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I547,$C$40:$C$1650,1,0),VLOOKUP(I547,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ecuador"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EcuadorNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N547)))","v":2.8927916116883695E-2}]
[null,"Fruits","Spain",2.6054943023382328E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeFruits"},null,"Bahamas","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I551,$C$40:$C$1650,1,0),VLOOKUP(I551,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bahamas"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BahamasFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N551)))","v":2.9246350957946907E-2}]
[null,"Fruits","Tajikistan",1.2415699353623966E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaFruits"},null,"Guyana","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I558,$C$40:$C$1650,1,0),VLOOKUP(I558,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Guyana"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GuyanaFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N558)))","v":2.9246350957946907E-2}]
[null,"Fruits","Turkmenistan",5.8761377987911409E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaFruits"},null,"Honduras","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I564,$C$40:$C$1650,1,0),VLOOKUP(I564,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Honduras"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"HondurasFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N564)))","v":2.9383649072776095E-2}]
[null,"Fruits","United Republic of Tanzania",2.647193946499769E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaFruits"},null,"Maldives","South Asia",{"$f":"IFERROR(VLOOKUP(I568,$C$40:$C$1650,1,0),VLOOKUP(I568,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Maldives"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MaldivesAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N568)))","v":2.9529236046451957E-2}]
[null,"Fruits","Zambia",1.709550087331237E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaFruits"},null,"Micronesia (Federated States of)","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I575,$C$40:$C$1650,1,0),VLOOKUP(I575,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Micronesia"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Micronesia (Federated States of)Flour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N575)))","v":2.9589905787806101E-2}]
[null,"Pulses & Grains","Annex B Countries (Kyoto Protocol)",2.7165196607291577E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Tuvalu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I581,$C$40:$C$1650,1,0),VLOOKUP(I581,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tuvalu"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TuvaluFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N581)))","v":2.9589905787806101E-2}]
[null,"Pulses & Grains","Annex II Countries (UNFCCC)",2.9407263190632808E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Burundi","Africa",{"$f":"IFERROR(VLOOKUP(I585,$C$40:$C$1650,1,0),VLOOKUP(I585,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Burundi"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BurundiCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N585)))","v":2.9727574982833644E-2}]
[null,"Pulses & Grains","Argentina",2.8759875305496747E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanPulses & Grains"},null,"Chad","Africa",{"$f":"IFERROR(VLOOKUP(I588,$C$40:$C$1650,1,0),VLOOKUP(I588,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Chad"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChadCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N588)))","v":2.9727574982833644E-2}]
[null,"Pulses & Grains","Bahrain",4.7231662035280432E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaPulses & Grains"},null,"Lesotho","Africa",{"$f":"IFERROR(VLOOKUP(I593,$C$40:$C$1650,1,0),VLOOKUP(I593,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lesotho"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LesothoCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N593)))","v":2.9727574982833644E-2}]
[null,"Pulses & Grains","Brunei Darussalam",4.3661653697959192E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificPulses & Grains"},null,"Sierra Leone","Africa",{"$f":"IFERROR(VLOOKUP(I602,$C$40:$C$1650,1,0),VLOOKUP(I602,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sierra Leone"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Sierra LeoneCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N602)))","v":2.9727574982833644E-2}]
[null,"Pulses & Grains","Cameroon",2.4041044449761524E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaPulses & Grains"},null,"Turkey","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I605,$C$40:$C$1650,1,0),VLOOKUP(I605,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Turkey"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TurkeyAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N605)))","v":2.9768717767729304E-2}]
[null,"Pulses & Grains","Colombia",1.6873152068079648E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanPulses & Grains"},null,"Burundi","Africa",{"$f":"IFERROR(VLOOKUP(I610,$C$40:$C$1650,1,0),VLOOKUP(I610,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Burundi"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BurundiAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N610)))","v":2.9923866050405215E-2}]
[null,"Pulses & Grains","Democratic Republic of the Congo",9.7260689866328857E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaPulses & Grains"},null,"Liberia","Africa",{"$f":"IFERROR(VLOOKUP(I619,$C$40:$C$1650,1,0),VLOOKUP(I619,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Liberia"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LiberiaAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N619)))","v":2.9923866050405215E-2}]
[null,"Pulses & Grains","Ecuador",1.9108516019054021E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanPulses & Grains"},null,"Mali","Africa",{"$f":"IFERROR(VLOOKUP(I622,$C$40:$C$1650,1,0),VLOOKUP(I622,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mali"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MaliAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N622)))","v":2.9923866050405215E-2}]
[null,"Pulses & Grains","Ethiopia",9.6246868059923149E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaPulses & Grains"},null,"Sierra Leone","Africa",{"$f":"IFERROR(VLOOKUP(I627,$C$40:$C$1650,1,0),VLOOKUP(I627,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Sierra Leone"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Sierra LeoneAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N627)))","v":2.9923866050405215E-2}]
[null,"Pulses & Grains","Gibraltar",4.9144209076412641E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropePulses & Grains"},null,"India","South Asia",{"$f":"IFERROR(VLOOKUP(I634,$C$40:$C$1650,1,0),VLOOKUP(I634,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"India"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"IndiaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N634)))","v":3.017413311637766E-2}]
[null,"Pulses & Grains","Hong Kong (China)",4.7431719952655493E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Bolivia (Plurinational State of)","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I639,$C$40:$C$1650,1,0),VLOOKUP(I639,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bolivia (Plurinational State of)"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Bolivia (Plurinational State of)Pulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N639)))","v":3.0665026531157484E-2}]
[null,"Pulses & Grains","Ireland",2.9187953955668249E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropePulses & Grains"},null,"Senegal","Africa",{"$f":"IFERROR(VLOOKUP(I645,$C$40:$C$1650,1,0),VLOOKUP(I645,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Senegal"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SenegalFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N645)))","v":3.0982476512476081E-2}]
[null,"Pulses & Grains","Jordan",3.5216497445118844E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaPulses & Grains"},null,"Lebanon","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I651,$C$40:$C$1650,1,0),VLOOKUP(I651,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lebanon"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LebanonMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N651)))","v":3.1754732977687002E-2}]
[null,"Pulses & Grains","Kuwait",4.0146104161430343E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaPulses & Grains"},null,"Philippines","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I656,$C$40:$C$1650,1,0),VLOOKUP(I656,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Philippines"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PhilippinesFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N656)))","v":3.2175328951871252E-2}]
[null,"Pulses & Grains","Libya",3.8662228498590363E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaPulses & Grains"},null,"Nicaragua","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I660,$C$40:$C$1650,1,0),VLOOKUP(I660,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Nicaragua"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NicaraguaTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N660)))","v":3.2375535941095372E-2}]
[null,"Pulses & Grains","Malaysia",4.283971816189068E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificPulses & Grains"},null,"Argentina","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I663,$C$40:$C$1650,1,0),VLOOKUP(I663,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Argentina"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ArgentinaFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N663)))","v":3.2520297277508374E-2}]
[null,"Pulses & Grains","Memo: Europe (UN)",2.494796894354024E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Egypt","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I668,$C$40:$C$1650,1,0),VLOOKUP(I668,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Egypt"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EgyptPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N668)))","v":3.2900201599626859E-2}]
[null,"Pulses & Grains","Memo: IEA Total",2.8871161235653718E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Equatorial Guinea","Africa",{"$f":"IFERROR(VLOOKUP(I677,$C$40:$C$1650,1,0),VLOOKUP(I677,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Equatorial Guinea"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Equatorial GuineaPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N677)))","v":3.3001753176068523E-2}]
[null,"Pulses & Grains","Mexico",3.358053537098539E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanPulses & Grains"},null,"Lesotho","Africa",{"$f":"IFERROR(VLOOKUP(I680,$C$40:$C$1650,1,0),VLOOKUP(I680,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lesotho"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LesothoPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N680)))","v":3.3001753176068523E-2}]
[null,"Pulses & Grains","Mozambique",1.2820866733104092E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaPulses & Grains"},null,"Mauritania","Africa",{"$f":"IFERROR(VLOOKUP(I685,$C$40:$C$1650,1,0),VLOOKUP(I685,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N685)))","v":3.3001753176068523E-2}]
[null,"Pulses & Grains","Non-annex I Countries (UNFCCC)",3.8420039192463805E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Angola","Africa",{"$f":"IFERROR(VLOOKUP(I694,$C$40:$C$1650,1,0),VLOOKUP(I694,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Angola"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"AngolaCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N694)))","v":3.3100609262160262E-2}]
[null,"Pulses & Grains","Non-OECD Europe and Eurasia",2.912438779008291E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Dominican Republic","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I697,$C$40:$C$1650,1,0),VLOOKUP(I697,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Dominican Republic"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Dominican RepublicAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N697)))","v":3.3422792078014851E-2}]
[null,"Pulses & Grains","OECD Total",2.8469738972669065E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Grenada","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I703,$C$40:$C$1650,1,0),VLOOKUP(I703,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N703)))","v":3.3423853663060971E-2}]
[null,"Pulses & Grains","Other Africa",2.4044263458617939E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Guinea-Bissau","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I705,$C$40:$C$1650,1,0),VLOOKUP(I705,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Guinea-Bissau"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Guinea-BissauTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N705)))","v":3.3423853663060971E-2}]
[null,"Pulses & Grains","Bolivia (Plurinational State of)",3.0665026531157484E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanPulses & Grains"},null,"Ukraine","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I714,$C$40:$C$1650,1,0),VLOOKUP(I714,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Ukraine"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UkraineTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N714)))","v":3.3754993781224138E-2}]
[null,"Pulses & Grains","Romania",2.6104528108714765E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaPulses & Grains"},null,"South Africa","Africa",{"$f":"IFERROR(VLOOKUP(I720,$C$40:$C$1650,1,0),VLOOKUP(I720,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"South Africa"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"South AfricaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N720)))","v":3.4991556229737583E-2}]
[null,"Pulses & Grains","Saudi Arabia",4.4152619380148181E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaPulses & Grains"},null,"Myanmar","South Asia",{"$f":"IFERROR(VLOOKUP(I722,$C$40:$C$1650,1,0),VLOOKUP(I722,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Myanmar"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MyanmarTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N722)))","v":3.5146002866429077E-2}]
[null,"Pulses & Grains","Sri Lanka",4.0085202975928241E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaPulses & Grains"},null,"Micronesia (Federated States of)","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I731,$C$40:$C$1650,1,0),VLOOKUP(I731,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Micronesia"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Micronesia (Federated States of)Cotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N731)))","v":3.5480449191952514E-2}]
[null,"Pulses & Grains","Tajikistan",1.110608816664772E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaPulses & Grains"},null,"Tuvalu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I737,$C$40:$C$1650,1,0),VLOOKUP(I737,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tuvalu"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TuvaluCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N737)))","v":3.5480449191952514E-2}]
[null,"Pulses & Grains","Thailand",3.2335634906271504E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificPulses & Grains"},null,"Vanuatu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I738,$C$40:$C$1650,1,0),VLOOKUP(I738,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Vanatu"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"VanuatuCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N738)))","v":3.5480449191952514E-2}]
[null,"Pulses & Grains","Ukraine",2.6663275604182916E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaPulses & Grains"},null,"Thailand","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I744,$C$40:$C$1650,1,0),VLOOKUP(I744,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Thailand"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ThailandFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N744)))","v":3.6146088262573407E-2}]
[null,"Pulses & Grains","United States",2.9519508054179688E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Bhutan","South Asia",{"$f":"IFERROR(VLOOKUP(I748,$C$40:$C$1650,1,0),VLOOKUP(I748,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bhutan"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BhutanFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N748)))","v":3.666525839768657E-2}]
[null,"Pulses & Grains","Zimbabwe",4.3254589404446486E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaPulses & Grains"},null,"Papua New Guinea","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I755,$C$40:$C$1650,1,0),VLOOKUP(I755,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N755)))","v":3.6730132965496598E-2}]
[null,"Cotton","Annex I Countries (UNFCCC)",2.6786113526900555E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Vanuatu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I761,$C$40:$C$1650,1,0),VLOOKUP(I761,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Vanatu"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"VanuatuAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N761)))","v":3.6730132965496598E-2}]
[null,"Cotton","Annex II Europe (UNFCCC)",2.0462524891558382E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Angola","Africa",{"$f":"IFERROR(VLOOKUP(I765,$C$40:$C$1650,1,0),VLOOKUP(I765,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Angola"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"AngolaPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N765)))","v":3.6948017741333439E-2}]
[null,"Cotton","Bangladesh",3.3024978186259421E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaCotton"},null,"Chad","Africa",{"$f":"IFERROR(VLOOKUP(I773,$C$40:$C$1650,1,0),VLOOKUP(I773,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Chad"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChadFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N773)))","v":3.7087687400090961E-2}]
[null,"Cotton","Bosnia and Herzegovina",4.9948524789252484E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeCotton"},null,"Lesotho","Africa",{"$f":"IFERROR(VLOOKUP(I778,$C$40:$C$1650,1,0),VLOOKUP(I778,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Lesotho"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"LesothoFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N778)))","v":3.7087687400090961E-2}]
[null,"Cotton","Bulgaria",3.3283611891985795E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaCotton"},null,"Mali","Africa",{"$f":"IFERROR(VLOOKUP(I782,$C$40:$C$1650,1,0),VLOOKUP(I782,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mali"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MaliFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N782)))","v":3.7087687400090961E-2}]
[null,"Cotton","Costa Rica",8.8231702278153412E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanCotton"},null,"Egypt","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I790,$C$40:$C$1650,1,0),VLOOKUP(I790,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Egypt"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EgyptFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N790)))","v":3.7094742971659059E-2}]
[null,"Cotton","Cyprus",3.9286192475933873E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaCotton"},null,"Chile","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I795,$C$40:$C$1650,1,0),VLOOKUP(I795,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Chile"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChileFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N795)))","v":3.7163191152383424E-2}]
[null,"Cotton","Denmark",1.5815922824003056E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeCotton"},null,"Congo","Africa",{"$f":"IFERROR(VLOOKUP(I799,$C$40:$C$1650,1,0),VLOOKUP(I799,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Congo"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CongoNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N799)))","v":3.7602165119108653E-2}]
[null,"Cotton","Egypt",2.9557899621004156E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaCotton"},null,"Pakistan","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I802,$C$40:$C$1650,1,0),VLOOKUP(I802,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Pakistan"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PakistanTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N802)))","v":3.8107488506746404E-2}]
[null,"Cotton","Finland",1.3628401048196355E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeCotton"},null,"Venezuela (Bolivarian Republic of)","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I807,$C$40:$C$1650,1,0),VLOOKUP(I807,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Venezuela (Bolivarian Republic of)"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Venezuela (Bolivarian Republic of)Nuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N807)))","v":3.8396522008583414E-2}]
[null,"Cotton","Greece",3.3573092628368745E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeCotton"},null,"Bolivia (Plurinational State of)","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I814,$C$40:$C$1650,1,0),VLOOKUP(I814,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bolivia (Plurinational State of)"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Bolivia (Plurinational State of)Tubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N814)))","v":3.9007032228843184E-2}]
[null,"Cotton","Hungary",2.1055685568470903E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaCotton"},null,"China","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I819,$C$40:$C$1650,1,0),VLOOKUP(I819,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N819)))","v":3.9245908469523971E-2}]
[null,"Cotton","Islamic Republic of Iran",3.3366199620574875E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Dominica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I825,$C$40:$C$1650,1,0),VLOOKUP(I825,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Dominica"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"DominicaNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N825)))","v":3.9398648413238264E-2}]
[null,"Cotton","Kazakhstan",3.7012031710882909E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaCotton"},null,"Saint Lucia","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I831,$C$40:$C$1650,1,0),VLOOKUP(I831,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Saint Lucia"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Saint LuciaNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N831)))","v":3.9398648413238264E-2}]
[null,"Cotton","Kyrgyzstan",1.0863981831330369E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaCotton"},null,"Micronesia (Federated States of)","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I836,$C$40:$C$1650,1,0),VLOOKUP(I836,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Micronesia"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Micronesia (Federated States of)Pulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N836)))","v":3.9403267734936867E-2}]
[null,"Cotton","Lithuania",1.2132272497226617E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeCotton"},null,"Timor-Leste","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I840,$C$40:$C$1650,1,0),VLOOKUP(I840,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N840)))","v":3.9403267734936867E-2}]
[null,"Cotton","Memo: European Union - 28",2.20506242926061E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Senegal","Africa",{"$f":"IFERROR(VLOOKUP(I848,$C$40:$C$1650,1,0),VLOOKUP(I848,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Senegal"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"SenegalAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N848)))","v":3.9861881428963762E-2}]
[null,"Cotton","Memo: G8",2.5564344338745951E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"South Africa","Africa",{"$f":"IFERROR(VLOOKUP(I853,$C$40:$C$1650,1,0),VLOOKUP(I853,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"South Africa"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"South AfricaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N853)))","v":4.0621658310747051E-2}]
[null,"Cotton","Memo: Oceania (UN)",3.831147360788778E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Eritrea","Africa",{"$f":"IFERROR(VLOOKUP(I857,$C$40:$C$1650,1,0),VLOOKUP(I857,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Eritrea"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EritreaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N857)))","v":4.0909771952743083E-2}]
[null,"Cotton","Myanmar",2.4804411886005837E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificCotton"},null,"Bhutan","South Asia",{"$f":"IFERROR(VLOOKUP(I865,$C$40:$C$1650,1,0),VLOOKUP(I865,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bhutan"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BhutanTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N865)))","v":4.1843702744759501E-2}]
[null,"Cotton","Nicaragua",2.2875173755101817E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanCotton"},null,"Burundi","Africa",{"$f":"IFERROR(VLOOKUP(I870,$C$40:$C$1650,1,0),VLOOKUP(I870,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Burundi"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BurundiTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N870)))","v":4.2330672238011263E-2}]
[null,"Cotton","Non-OECD Americas",1.6845339199788239E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Comoros","Africa",{"$f":"IFERROR(VLOOKUP(I874,$C$40:$C$1650,1,0),VLOOKUP(I874,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Comoros"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ComorosTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N874)))","v":4.2330672238011263E-2}]
[null,"Cotton","Non-OECD Total",3.3823788979322408E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Gambia","Africa",{"$f":"IFERROR(VLOOKUP(I877,$C$40:$C$1650,1,0),VLOOKUP(I877,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Gambia"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"GambiaTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N877)))","v":4.2330672238011263E-2}]
[null,"Cotton","Oman",2.8889966736396419E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaCotton"},null,"Mauritania","Africa",{"$f":"IFERROR(VLOOKUP(I883,$C$40:$C$1650,1,0),VLOOKUP(I883,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mauritania"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MauritaniaTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N883)))","v":4.2330672238011263E-2}]
[null,"Cotton","Peru",1.8261656401855668E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanCotton"},null,"Egypt","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I891,$C$40:$C$1650,1,0),VLOOKUP(I891,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Egypt"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EgyptTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N891)))","v":4.2515117658946382E-2}]
[null,"Cotton","Poland",4.0190917315943799E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaCotton"},null,"Chile","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I894,$C$40:$C$1650,1,0),VLOOKUP(I894,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Chile"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ChileTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N894)))","v":4.2665433680321087E-2}]
[null,"Cotton","Russian Federation",2.3890968819422286E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaCotton"},null,"Niger","Africa",{"$f":"IFERROR(VLOOKUP(I900,$C$40:$C$1650,1,0),VLOOKUP(I900,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Niger"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NigerFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N900)))","v":4.3187500310912841E-2}]
[null,"Cotton","South Sudan",4.2691816775761025E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaCotton"},null,"Kiribati","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I908,$C$40:$C$1650,1,0),VLOOKUP(I908,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kiribati"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KiribatiFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N908)))","v":4.4302412363585154E-2}]
[null,"Cotton","Sudan",2.232949385518589E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaCotton"},null,"Micronesia (Federated States of)","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I911,$C$40:$C$1650,1,0),VLOOKUP(I911,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Micronesia"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Micronesia (Federated States of)Fruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N911)))","v":4.4302412363585154E-2}]
[null,"Cotton","Thailand",2.9251948892301018E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificCotton"},null,"Tuvalu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I917,$C$40:$C$1650,1,0),VLOOKUP(I917,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tuvalu"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TuvaluFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N917)))","v":4.4302412363585154E-2}]
[null,"Cotton","Ukraine",2.4128636022054006E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaCotton"},null,"Uzbekistan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I923,$C$40:$C$1650,1,0),VLOOKUP(I923,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uzbekistan"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UzbekistanTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N923)))","v":4.478970854151508E-2}]
[null,"Cotton","Uzbekistan",3.2057006854488299E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaCotton"},null,"Mauritius","Africa",{"$f":"IFERROR(VLOOKUP(I929,$C$40:$C$1650,1,0),VLOOKUP(I929,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mauritius"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MauritiusCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N929)))","v":4.5818341266377384E-2}]
[null,"Cotton","Zimbabwe",3.9166642464955506E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaCotton"},null,"India","South Asia",{"$f":"IFERROR(VLOOKUP(I934,$C$40:$C$1650,1,0),VLOOKUP(I934,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"India"},"Pulses & Grains",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"IndiaPulses & Grains"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaPulses & Grains"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N934)))","v":4.7031716848686025E-2}]
[null,"Animal Protein","Annex I Countries (UNFCCC)",2.5075516623801641E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Mongolia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I940,$C$40:$C$1650,1,0),VLOOKUP(I940,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mongolia"},"Mycoprotein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MongoliaMycoprotein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificMycoprotein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N940)))","v":4.7448507478227445E-2}]
[null,"Animal Protein","Annex I EIT (UNFCCC)",2.6408634888113385E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Philippines","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I941,$C$40:$C$1650,1,0),VLOOKUP(I941,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Philippines"},"Fruits",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"PhilippinesFruits"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificFruits"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N941)))","v":4.7595366120237938E-2}]
[null,"Animal Protein","Bahrain",4.3298366482368227E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaAnimal Protein"},null,"Bhutan","South Asia",{"$f":"IFERROR(VLOOKUP(I951,$C$40:$C$1650,1,0),VLOOKUP(I951,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bhutan"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BhutanNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"South AsiaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N951)))","v":4.8729446862871714E-2}]
[null,"Animal Protein","Belarus",2.5317784784235783E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaAnimal Protein"},null,"Eritrea","Africa",{"$f":"IFERROR(VLOOKUP(I953,$C$40:$C$1650,1,0),VLOOKUP(I953,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Eritrea"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EritreaCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N953)))","v":4.9212322042925631E-2}]
[null,"Animal Protein","Botswana",8.3672363054008214E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaAnimal Protein"},null,"Central African Republic","Africa",{"$f":"IFERROR(VLOOKUP(I958,$C$40:$C$1650,1,0),VLOOKUP(I958,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Central African Republic"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Central African RepublicNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N958)))","v":4.930481116814487E-2}]
[null,"Animal Protein","Cambodia",3.7477622266587553E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificAnimal Protein"},null,"Eswatini","Africa",{"$f":"IFERROR(VLOOKUP(I962,$C$40:$C$1650,1,0),VLOOKUP(I962,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Eswatini"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"EswatiniNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N962)))","v":4.930481116814487E-2}]
[null,"Animal Protein","Cote d'Ivoire",2.4937609267946314E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaAnimal Protein"},null,"Rwanda","Africa",{"$f":"IFERROR(VLOOKUP(I970,$C$40:$C$1650,1,0),VLOOKUP(I970,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Rwanda"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"RwandaNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N970)))","v":4.930481116814487E-2}]
[null,"Animal Protein","Czech Republic",3.2266184605323489E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Uganda","Africa",{"$f":"IFERROR(VLOOKUP(I975,$C$40:$C$1650,1,0),VLOOKUP(I975,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Uganda"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"UgandaNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N975)))","v":4.930481116814487E-2}]
[null,"Animal Protein","Dominican Republic",3.3422792078014851E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanAnimal Protein"},null,"Egypt","Middle East and North Africa",{"$f":"IFERROR(VLOOKUP(I979,$C$40:$C$1650,1,0),VLOOKUP(I979,'2017_World_Grid'!$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"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Middle East and North AfricaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N979)))","v":4.9790649265974492E-2}]
[null,"Animal Protein","France",8.1543330985031481E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeAnimal Protein"},null,"Marshall Islands","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I987,$C$40:$C$1650,1,0),VLOOKUP(I987,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Marshall Islands"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Marshall IslandsTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N987)))","v":5.0594758788353199E-2}]
[null,"Animal Protein","Gibraltar",4.6507864872716007E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeAnimal Protein"},null,"Timor-Leste","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I992,$C$40:$C$1650,1,0),VLOOKUP(I992,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Timor-Leste"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Timor-LesteTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N992)))","v":5.0594758788353199E-2}]
[null,"Animal Protein","Guatemala",2.1871280917373812E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanAnimal Protein"},null,"Tuvalu","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I994,$C$40:$C$1650,1,0),VLOOKUP(I994,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Tuvalu"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"TuvaluTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N994)))","v":5.0594758788353199E-2}]
[null,"Animal Protein","Islamic Republic of Iran",3.3908201407274859E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Bosnia and Herzegovina","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I1004,$C$40:$C$1650,1,0),VLOOKUP(I1004,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bosnia and Herzegovina"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Bosnia and HerzegovinaAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1004)))","v":5.2293681029736999E-2}]
[null,"Animal Protein","Jordan",3.2004485767972456E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaAnimal Protein"},null,"Cambodia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I1009,$C$40:$C$1650,1,0),VLOOKUP(I1009,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Cambodia"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"CambodiaTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1009)))","v":5.3656662012690232E-2}]
[null,"Animal Protein","Kenya",1.4547058414539465E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaAnimal Protein"},null,"South Africa","Africa",{"$f":"IFERROR(VLOOKUP(I1011,$C$40:$C$1650,1,0),VLOOKUP(I1011,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"South Africa"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"South AfricaAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1011)))","v":5.4277521424606456E-2}]
[null,"Animal Protein","Latvia",8.2553762590562886E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeAnimal Protein"},null,"Mongolia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I1016,$C$40:$C$1650,1,0),VLOOKUP(I1016,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mongolia"},"Flour",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MongoliaFlour"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificFlour"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1016)))","v":5.5244086035916948E-2}]
[null,"Animal Protein","Memo: Europe (UN)",2.1179179686519476E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Angola","Africa",{"$f":"IFERROR(VLOOKUP(I1026,$C$40:$C$1650,1,0),VLOOKUP(I1026,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Angola"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"AngolaNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1026)))","v":5.6729758047510966E-2}]
[null,"Animal Protein","Memo: Former Yugoslavia",3.973132394700124E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Niger","Africa",{"$f":"IFERROR(VLOOKUP(I1028,$C$40:$C$1650,1,0),VLOOKUP(I1028,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Niger"},"Animal Protein",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"NigerAnimal Protein"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaAnimal Protein"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1028)))","v":5.7163111997933024E-2}]
[null,"Animal Protein","Memo: Greenland",8.6065880386305103E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Fiji","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I1033,$C$40:$C$1650,1,0),VLOOKUP(I1033,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Fiji"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"FijiNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1033)))","v":5.8974418567605651E-2}]
[null,"Animal Protein","Memo: OPEC",3.6872766868146729E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Micronesia (Federated States of)","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I1037,$C$40:$C$1650,1,0),VLOOKUP(I1037,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Micronesia"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Micronesia (Federated States of)Nuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1037)))","v":5.8974418567605651E-2}]
[null,"Animal Protein","Namibia",7.2473005189530471E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaAnimal Protein"},null,"Jamaica","Latin America and Caribbean",{"$f":"IFERROR(VLOOKUP(I1045,$C$40:$C$1650,1,0),VLOOKUP(I1045,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Jamaica"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"JamaicaNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Latin America and CaribbeanNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1045)))","v":5.9821212318861727E-2}]
[null,"Animal Protein","Niger",5.7163111997933024E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaAnimal Protein"},null,"Kazakhstan","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I1050,$C$40:$C$1650,1,0),VLOOKUP(I1050,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Kazakhstan"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"KazakhstanNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1050)))","v":6.1663766320177955E-2}]
[null,"Animal Protein","Non-OECD Asia (excluding China)",3.9824861296994335E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}},null,"Zimbabwe","Africa",{"$f":"IFERROR(VLOOKUP(I1054,$C$40:$C$1650,1,0),VLOOKUP(I1054,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Zimbabwe"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"ZimbabweNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1054)))","v":6.2972513436863942E-2}]
[null,"Animal Protein","Oman",2.9531071189087991E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaAnimal Protein"},null,"Benin","Africa",{"$f":"IFERROR(VLOOKUP(I1062,$C$40:$C$1650,1,0),VLOOKUP(I1062,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Benin"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BeninNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1062)))","v":6.5070229179387068E-2}]
[null,"Animal Protein","Paraguay",4.1449878596195068E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanAnimal Protein"},null,"South Sudan","Africa",{"$f":"IFERROR(VLOOKUP(I1068,$C$40:$C$1650,1,0),VLOOKUP(I1068,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"South Sudan"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"South SudanNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1068)))","v":6.9225966785695814E-2}]
[null,"Animal Protein","Philippines",4.1443431931004311E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificAnimal Protein"},null,"Bosnia and Herzegovina","Europe and Central Asia",{"$f":"IFERROR(VLOOKUP(I1071,$C$40:$C$1650,1,0),VLOOKUP(I1071,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Bosnia and Herzegovina"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"Bosnia and HerzegovinaTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"Europe and Central AsiaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1071)))","v":7.2281878504347058E-2}]
[null,"Animal Protein","Russian Federation",2.3604582975409474E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaAnimal Protein"},null,"Botswana","Africa",{"$f":"IFERROR(VLOOKUP(I1079,$C$40:$C$1650,1,0),VLOOKUP(I1079,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Botswana"},"Cotton",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BotswanaCotton"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaCotton"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1079)))","v":7.6866278595529774E-2}]
[null,"Animal Protein","Saudi Arabia",4.3527792035803224E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaAnimal Protein"},null,"South Africa","Africa",{"$f":"IFERROR(VLOOKUP(I1080,$C$40:$C$1650,1,0),VLOOKUP(I1080,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"South Africa"},"Nuts/Seeds",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"South AfricaNuts/Seeds"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaNuts/Seeds"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1080)))","v":7.8525794736239954E-2}]
[null,"Animal Protein","Spain",2.0197930892198464E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeAnimal Protein"},null,"Mongolia","East Asia and Pacific",{"$f":"IFERROR(VLOOKUP(I1088,$C$40:$C$1650,1,0),VLOOKUP(I1088,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Mongolia"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"MongoliaTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"East Asia and PacificTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1088)))","v":9.3751451302385547E-2}]
[null,"Animal Protein","Suriname",2.612858274730407E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanAnimal Protein"},null,"Botswana","Africa",{"$f":"IFERROR(VLOOKUP(I1091,$C$40:$C$1650,1,0),VLOOKUP(I1091,'2017_World_Grid'!$B$2:$D$119,3,0))","v":"Botswana"},"Tubers/Root Crops",{"$f":"CONCATENATE(StoreEF[[#This Row],[IFC Country]],StoreEF[[#This Row],[Commodity group]])","v":"BotswanaTubers/Root Crops"},{"$f":"_xlfn.CONCAT(StoreEF[[#This Row],[ IFC Region]],StoreEF[[#This Row],[Commodity group]])","v":"AfricaTubers/Root Crops"},{"$f":"IF(Interface!$C$115<>\"\",\nInterface!$C$115,\nIFERROR(INDEX(FPXinput[Store EF kgCO2e/kg =],MATCH(1,(FPXinput[Countries]=StoreEF[[#This Row],[IEA denomination]])*(FPXinput[Commodity]=StoreEF[[#This Row],[Commodity group]]),0))*IF(Interface!$C$118<>\"\",INDEX(RetailDefaultData[Store type adjustment],MATCH(Interface!$C$118,RetailDefaultData[Store Type],0)),1),\nAVERAGEIFS(FPXinput[Store EF kgCO2e/kg =],FPXinput[Concat],N1091)))","v":0.11120670422431471}]
[null,"Animal Protein","Togo",9.1911753725005246E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaAnimal Protein"}]
[null,"Animal Protein","United Republic of Tanzania",2.0880148755683201E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaAnimal Protein"}]
[null,"Animal Protein","Viet Nam",2.4143893560111224E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificAnimal Protein"}]
[null,"Flour","Africa",3.0199040582312629E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Flour","Annex I EIT (UNFCCC)",2.3121606072404009E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Flour","Armenia",1.3695097299363884E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaFlour"}]
[null,"Flour","Bangladesh",2.7370773408315435E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaFlour"}]
[null,"Flour","Brazil",1.1913879556139984E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanFlour"}]
[null,"Flour","Canada",1.2912757250191732E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern America"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"North America"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"North AmericaFlour"}]
[null,"Flour","Costa Rica",7.324738092351445E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanFlour"}]
[null,"Flour","Croatia",1.546878504116851E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeFlour"}]
[null,"Flour","Democratic People's Republic of Korea",1.5707201521678579E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificFlour"}]
[null,"Flour","Finland",1.1332416306900217E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeFlour"}]
[null,"Flour","Gabon",2.3626304569333272E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaFlour"}]
[null,"Flour","Greece",2.7935584579139843E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeFlour"}]
[null,"Flour","Indonesia",3.7110268159807246E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificFlour"}]
[null,"Flour","Israel",2.8709284316012426E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaFlour"}]
[null,"Flour","Kazakhstan",3.0846230243923359E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaFlour"}]
[null,"Flour","Libya",2.9037000541361331E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaFlour"}]
[null,"Flour","Malta",2.3677503227945672E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeFlour"}]
[null,"Flour","Memo: FSU 15",2.1646564145586279E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Flour","Memo: IEA and Accession/Association countries",2.5917327446004994E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Flour","Middle East",3.1503640000059632E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Flour","Myanmar",2.0736624687109781E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificFlour"}]
[null,"Flour","Nepal",6.9905619959312612E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaFlour"}]
[null,"Flour","Nigeria",2.2832828727224343E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaFlour"}]
[null,"Flour","OECD Total",2.1520534505249392E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Flour","Other Africa",1.8180607928519013E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Flour","People's Republic of China",3.0473536421917358E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Flour","Bolivia (Plurinational State of)",2.3217211403508655E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanFlour"}]
[null,"Flour","Saudi Arabia",3.3467645695092044E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaFlour"}]
[null,"Flour","South Africa",4.0621658310747051E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaFlour"}]
[null,"Flour","Sri Lanka",3.0423733497439251E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaFlour"}]
[null,"Flour","Togo",1.0249640022000749E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaFlour"}]
[null,"Flour","United Arab Emirates",3.1234332020271954E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaFlour"}]
[null,"Flour","United States",2.2458494323625348E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Flour","World",2.4819850034445409E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Vegetables","Albania",7.2606055715758358E-4,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeVegetables"}]
[null,"Vegetables","Annex II Europe (UNFCCC)",1.6719332814483807E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Vegetables","Australia",3.6528699725893315E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Australia and New Zealand"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Oceania"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"OceaniaVegetables"}]
[null,"Vegetables","Belarus",2.1944860456554753E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaVegetables"}]
[null,"Vegetables","Brunei Darussalam",3.2076776186604284E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificVegetables"}]
[null,"Vegetables","Chile",2.4208048300876756E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanVegetables"}]
[null,"Vegetables","Cote d'Ivoire",2.1548365577084947E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaVegetables"}]
[null,"Vegetables","Democratic Republic of the Congo",7.1696839075132237E-4,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaVegetables"}]
[null,"Vegetables","El Salvador",1.3617695364941565E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanVegetables"}]
[null,"Vegetables","France",9.7647540163492614E-4,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeVegetables"}]
[null,"Vegetables","Guatemala",1.924550239281184E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanVegetables"}]
[null,"Vegetables","Iceland",7.0631872931946197E-4,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeVegetables"}]
[null,"Vegetables","Iraq",4.197122824235529E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaVegetables"}]
[null,"Vegetables","Italy",1.9567477295912659E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeVegetables"}]
[null,"Vegetables","Kenya",1.4097910132825739E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaVegetables"}]
[null,"Vegetables","Lithuania",1.001196153264621E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeVegetables"}]
[null,"Vegetables","Mauritius",3.7830118834081047E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaVegetables"}]
[null,"Vegetables","Memo: Former Yugoslavia",3.12229051031144E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Vegetables","Memo: Oceania (UN)",3.1684039725178468E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Vegetables","Mongolia",5.4696866354172593E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificVegetables"}]
[null,"Vegetables","Namibia",8.9976654574406428E-4,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaVegetables"}]
[null,"Vegetables","Non-annex I Countries (UNFCCC)",2.8728184821127998E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Vegetables","Norway",7.1905523509975804E-4,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeVegetables"}]
[null,"Vegetables","Oman",2.3969481705512579E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaVegetables"}]
[null,"Vegetables","People's Republic of China",3.0201793234002723E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Vegetables","Peru",1.5166154881476508E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanVegetables"}]
[null,"Vegetables","Russian Federation",1.9862865190472664E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaVegetables"}]
[null,"Vegetables","Senegal",3.0718646694022911E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaVegetables"}]
[null,"Vegetables","South Sudan",3.5527909297796961E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaVegetables"}]
[null,"Vegetables","Thailand",2.4369411204365459E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificVegetables"}]
[null,"Vegetables","Trinidad and Tobago",2.4017625067317876E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanVegetables"}]
[null,"Vegetables","United Kingdom",1.5835362709672937E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Vegetables","Uruguay",7.2625482433339133E-4,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanVegetables"}]
[null,"Mycoprotein","Algeria",2.3240594678109867E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaMycoprotein"}]
[null,"Mycoprotein","Annex II Asia Oceania (UNFCCC)",2.510060094235201E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Annex II North America (UNFCCC)",1.935384559490792E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Belgium",1.2062420478121299E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","Brunei Darussalam",2.77572255092439E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificMycoprotein"}]
[null,"Mycoprotein","Chile",2.0951466011173109E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanMycoprotein"}]
[null,"Mycoprotein","China",2.7352275025731652E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificMycoprotein"}]
[null,"Mycoprotein","Croatia",1.3224933726444713E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","Denmark",1.1240488180776314E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","Eritrea",3.5004248420855165E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaMycoprotein"}]
[null,"Mycoprotein","Gabon",2.02225955005923E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaMycoprotein"}]
[null,"Mycoprotein","Haiti",3.6869469975728555E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanMycoprotein"}]
[null,"Mycoprotein","India",3.017413311637766E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaMycoprotein"}]
[null,"Mycoprotein","Ireland",1.8738666439539014E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","Korea",2.3969813114472216E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Lebanon",3.1754732977687002E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Luxembourg",1.1878161488680724E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","Memo: FSU 15",1.8578682132870568E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Memo: IEA and Accession/Association countries",2.2251423366325108E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Memo: OPEC",2.5307158486905987E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Montenegro",2.255015255980598E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","Nepal",6.006440409402204E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaMycoprotein"}]
[null,"Mycoprotein","Non-annex I Countries (UNFCCC)",2.4930068585459056E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Non-OECD Americas",1.2115432193102601E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Non-OECD Asia (excluding China)",2.6897266922826291E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Non-OECD Europe and Eurasia",1.8910309783764651E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Non-OECD Total",2.433775963768714E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Norway",6.2408213435309196E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","OECD Americas",1.8725513003620266E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","OECD Asia Oceania",2.3821606347129293E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","OECD Europe",1.5331579574017859E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","OECD Total",1.8508669238291107E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Oman",2.0806646617889259E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Other Africa",1.563816353851518E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Other Asia",2.1796111959183028E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Other Non-OECD Americas",1.4685493584651359E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Pakistan",1.9477491199312441E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaMycoprotein"}]
[null,"Mycoprotein","Panama",1.2049279287212025E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanMycoprotein"}]
[null,"Mycoprotein","Paraguay",5.9549231817192221E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanMycoprotein"}]
[null,"Mycoprotein","People's Republic of China",2.6221967427744949E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Peru",1.3168027269121481E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanMycoprotein"}]
[null,"Mycoprotein","Philippines",2.7689827485839359E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificMycoprotein"}]
[null,"Mycoprotein","Bolivia (Plurinational State of)",1.9981803975538202E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanMycoprotein"}]
[null,"Mycoprotein","Poland",2.8993759028700314E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Portugal",1.7607176854127049E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","Qatar",2.1670590108353115E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Republic of Moldova",2.1533003452604015E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Congo",1.6682856474756057E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaMycoprotein"}]
[null,"Mycoprotein","Romania",1.7031303775782838E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Russian Federation",1.7250466616508326E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Saudi Arabia",2.8818279316029975E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Senegal",2.6680022442861481E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaMycoprotein"}]
[null,"Mycoprotein","Serbia",3.1405423911932684E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","Singapore",1.8705081615568754E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificMycoprotein"}]
[null,"Mycoprotein","Slovak Republic",1.1100758595605029E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Slovenia",1.4378669539572293E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","South Africa",3.4991556229737583E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaMycoprotein"}]
[null,"Mycoprotein","South Sudan",3.0862350517461914E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaMycoprotein"}]
[null,"Mycoprotein","Spain",1.5229794548677254E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","Sri Lanka",2.6211940538397007E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Southern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"South Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"South AsiaMycoprotein"}]
[null,"Mycoprotein","Sudan",1.6149394280267799E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaMycoprotein"}]
[null,"Mycoprotein","Suriname",1.8647260652305788E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanMycoprotein"}]
[null,"Mycoprotein","Sweden",6.3169109908441752E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","Switzerland",6.8277382454949402E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Western Europe"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Western EuropeMycoprotein"}]
[null,"Mycoprotein","Syrian Arab Republic",2.6738559502276358E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Tajikistan",7.2712313344140342E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Thailand",2.1174665665580024E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificMycoprotein"}]
[null,"Mycoprotein","Togo",8.8350790629119803E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaMycoprotein"}]
[null,"Mycoprotein","Trinidad and Tobago",2.0870190116299547E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanMycoprotein"}]
[null,"Mycoprotein","Tunisia",1.9613955920354403E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Northern Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Middle East and North Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Middle East and North AfricaMycoprotein"}]
[null,"Mycoprotein","Turkey",2.0694154219437707E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Turkmenistan",3.4469722884363736E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Ukraine",1.748142425145352E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Eastern Europe"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","United Arab Emirates",2.6933604765172967E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","United Kingdom",1.376253950428271E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","United Republic of Tanzania",1.5545397195432922E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaMycoprotein"}]
[null,"Mycoprotein","United States",1.9369696410502846E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Uruguay",6.312429924761556E-3,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Latin America and the Caribbean"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Latin America and Caribbean"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Latin America and CaribbeanMycoprotein"}]
[null,"Mycoprotein","Uzbekistan",2.3245944701776732E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Central Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Viet Nam",1.7402585057845036E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"South-eastern Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"East Asia and Pacific"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"East Asia and PacificMycoprotein"}]
[null,"Mycoprotein","World",2.1411523869377724E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":{"$error":"#N/A"}},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":{"$error":"#N/A"}}]
[null,"Mycoprotein","Yemen",2.5990827543057766E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Western Asia"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Europe and Central Asia"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"Europe and Central AsiaMycoprotein"}]
[null,"Mycoprotein","Zambia",1.0058104193382326E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaMycoprotein"}]
[null,"Mycoprotein","Zimbabwe",2.842207694583361E-2,{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[Countries]],UNcountrycodes[Country or Area],UNcountrycodes[Sub-region Name])","v":"Sub-Saharan Africa"},{"$f":"_xlfn.XLOOKUP(FPXinput[[#This Row],[UN Region]],RegionClassification[UN region],RegionClassification[IFC Region])","v":"Africa"},{"$f":"_xlfn.CONCAT(FPXinput[[#This Row],[IFC region]],FPXinput[[#This Row],[Commodity]])","v":"AfricaMycoprotein"}]

{"sheet":"Storage","index":22,"n_rows":71,"n_cols":11,"rows_kept":71,"cut":false,"hidden":true,"merged":[]}
[null,"Storage Emission Calculations"]
[null,null,"Storage 1","Storage 2"]
[null,"Storage default data",{"$f":"storageSelector","v":true},{"$f":"storage2Selector","v":true}]
[null,"Chilled?",{"$f":"IFERROR(IF(C3,IF(userSelectedTempControlled=\"Yes\", \"Y\",IF(userSelectedTempControlled=\"No\",\"N\",VLOOKUP(Commodity,CHILLED,2,FALSE))),\"\"),\"\")","v":""},{"$f":"IFERROR(IF(D3,IF(userSelectedTempControlled2=\"Yes\", \"Y\",IF(userSelectedTempControlled2=\"No\",\"N\",VLOOKUP(Commodity,CHILLED,2,FALSE))),\"\"),\"\")","v":""}]
[null,"Length of time (days)",{"$f":"IFERROR(IF(NOT(storageSelector),0,INDEX(Logistics!$E$5:$E$121,MATCH(Country,Logistics!$B$5:$B$121,0))/IF(AND(C3,D3),2,1)),0)","v":0},{"$f":"IFERROR(IF(NOT(storage2Selector),0,INDEX(Logistics!$E$5:$E$121,MATCH(Country,Logistics!$B$5:$B$121,0))/IF(AND(C3,D3),2,1)),0)","v":0},"Split the default data over 2 storage stages if both selected"]
[null,"Electricity consumption (kWh/day/tonne)",{"$f":"IF(C3,IF(C4=\"Y\",$J$21,$I$21),\"\")","v":1.8669985775248937E-3},{"$f":"IF(D3,IF(D4=\"Y\",$J$21,$I$21),\"\")","v":1.8669985775248937E-3},null,null,null,"Average grid emission factor (IEA)"]
[null,null,null,null,null,null,null,"Memo: European Union - 28",0.29599999999999999]
[null,"Natural gas consumption (kWh/day/tonne)",{"$f":"IF(Commodity=\"Eggs\",0,IF(C3,IF(C4=\"Y\",$J$22,$I$22),\"\"))","v":2.4027459954233414E-3},{"$f":"IF(Commodity=\"Eggs\",0,IF(D3,IF(D4=\"Y\",$J$22,$I$22),\"\"))","v":2.4027459954233414E-3},"If eggs, ignore gas",null,{"$f":"storageUserDefinedEF=storageUserEF","v":true}]
[null,"Emissions per tonne (tCO2e/tonne crop)",{"$f":"IF(C$3,IF(C4=\"Y\",$J$20,$I$20)*C5,0)","v":0},{"$f":"IF(D$3,IF(D4=\"Y\",$J$20,$I$20)*D5,0)","v":0}]
[null,null,null,null,null,null,null,"Food loss rate adjustments"]
[null,"Default EF?",true,true,"(set FALSE in response to user EF input)",null,null,"Storage time (days) - final input",{"$f":"C16","v":0},{"$f":"C17","v":0}]
[null,"Use default kWh (no user-defined input)?",true,true,"(set FALSE in response to user kWh input)",null,null,"Food loss rate distribution",{"$f":"I11/SUM($I$11:$J$11)","v":{"$error":"#DIV/0!"}},{"$f":"J11/SUM($I$11:$J$11)","v":{"$error":"#DIV/0!"}}]
[null,"Selected electricity grid factor",{"$f":"IF(C12,EUGridAvg,VLOOKUP(Country,ENERGY,3,FALSE))","v":0.29599999999999999},{"$f":"IF(D12,EUGridAvg,VLOOKUP(Country,ENERGY,3,FALSE))","v":0.29599999999999999}]
[]
[null,"User defined data","Days","Elec kWh","Gas kWh","EF CO2e / tonne",null,"https://www.smartfreightcentre.org/en/how-to-implement-glec-framework/"]
[null,"Storage 1",{"$f":"IF(storageTime<=0,C5,IF(storageTime=C5,C5,storageTime))","v":0},{"$f":"IF(ISBLANK(storageElectricity),C6,IF(useDefaultStorageBoolean,C6,storageElectricity))","v":1.8669985775248937E-3},{"$f":"IF(ISBLANK(storageGas),C8,IF(useDefaultStorageBoolean,C8,storageGas))","v":2.4027459954233414E-3},{"$f":"IFERROR(IF(C11,C16*((D16*C13)+(E16*NaturalGasEF)),storageUserDefinedEF),0)","v":0}]
[null,"Storage 2",{"$f":"IF(storage2Time<=0,D5,IF(storage2Time=D5,D5,storage2Time))","v":0},{"$f":"IF(ISBLANK(storage2Electricity),D6,IF(useDefaultStorage2Boolean,D6,storage2Electricity))","v":1.8669985775248937E-3},{"$f":"IF(ISBLANK(storage2Gas),D8,IF(useDefaultStorage2Boolean,D8,storage2Gas))","v":2.4027459954233414E-3},{"$f":"IFERROR(IF(D11,C17*(D17*D13+E17*NaturalGasEF),storage2UserDefinedEF),0)","v":0},null,"Metric","Ambient","Temperature controlled","Source/Notes"]
[null,null,null,null,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"]
[null,null,null,null,null,null,null,"Estimated number of days in storage (Europe) =",3.8,3.8,"(World Bank LPI)"]
[null,"Chilled/Not chilled commodities",null,null,null,null,null,"Storage tCO2e per tonne per day = ",{"$f":"(I18/I19)/1000","v":1.105263157894737E-3},{"$f":"(J18/J19)/1000","v":2.7631578947368419E-3}]
[null,"Crop","Chilled?",null,null,null,null,"Estimated elec kWh per tonne per day =",{"$f":"(I20/2)/EUGridAvg","v":1.8669985775248937E-3},{"$f":"(J20/2)/EUGridAvg","v":4.6674964438122336E-3},"Assume 50% emissions from electricity"]
[null,"Almonds","N",null,null,null,null,"Estimated natural gas kWh per tonne per day =",{"$f":"(I20/2)/NaturalGasEF","v":2.4027459954233414E-3},{"$f":"(J20/2)/NaturalGasEF","v":6.0068649885583521E-3},"Assume 50% emissions from natural gas, in reality fuel oil, district heating and biomass are also sometimes used"]
[null,"Apples","N"]
[null,"Avocados","N"]
[null,"Bananas","N",null,null,null,null,"Issues:"]
[null,"Barley","N",null,null,null,null,"Not tailored to each country (based on average EU grid factor)"]
[null,"Beans (dry)","N",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,"Buckwheat","N",null,null,null,null,"The tonne/day emission factor is 10x lower than the value we used previously"]
[null,"Carrots and turnips","N"]
[null,"Cashew nuts","N",null,null,null,null,"Benefits:"]
[null,"Cassava","N",null,null,null,null,"The total emissions per tonne are quite similar to those reported by Carbon Trust data"]
[null,"Chickpeas","N",null,null,null,null,"Based on good quality survey data"]
[null,"Cocoa, beans","N",null,null,null,null,"The referenced report also includes transport data which could in future replace/update our approach to transport"]
[null,"Coffee, green","N",null,null,null,null,"Includes refrigerant leakage where relevant, not just energy"]
[null,"Cotton","N",null,null,null,null,"Smart Freight Centre looking for partners to improve the data in future"]
[null,"Eggs","N"]
[null,"Flour","N"]
[null,"Garlic","N"]
[null,"Ginger","N"]
[null,"Grapes","N"]
[null,"Lemons and limes","N"]
[null,"Lentils","N"]
[null,"Lettuce and chicory","N"]
[null,"Maize","N"]
[null,"Mangoes, mangosteens, guavas","N"]
[null,"Millet","N"]
[null,"Mushrooms and truffles","N"]
[null,"Oats","N"]
[null,"Onions, dry","N"]
[null,"Oranges","N"]
[null,"Peanuts","N"]
[null,"Peas (dry)","N"]
[null,"Pepper (piper spp.)","N"]
[null,"Pineapples","N"]
[null,"Potatoes","N"]
[null,"Quinoa","N"]
[null,"Rapeseed","N"]
[null,"Rice","N"]
[null,"Rye","N"]
[null,"Sesame seed","N"]
[null,"Sorghum","N"]
[null,"Soybeans","N"]
[null,"Sugar cane","N"]
[null,"Sunflower seed","N"]
[null,"Sweet potatoes","N"]
[null,"Tomatoes","N"]
[null,"Wheat","N"]
[null,"Meat (cattle)","Y"]
[null,"Meat (chicken)","Y"]
[null,"Meat (pig)","Y"]
[null,"Milk (cattle)","Y"]

{"sheet":"Grid EFs","index":23,"n_rows":122,"n_cols":5,"rows_kept":122,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Grid emission factors"]
[]
[]
[null,"IFC Country","UNFCCC Country","Electricity EF (kgCO2e/kWh), UNFCCC","Natural gas EF (kgCO2e/kWh) average UK, BEIS"]
[null,"Angola","Angola",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":1.4757221052631579},0.23]
[null,"Antigua and Barbuda","Antigua and Barbuda",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Argentina","Argentina",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.47813099773856221},0.23]
[null,"Bahamas","Bahamas",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Bangladesh","Bangladesh",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.52792259306846101},0.23]
[null,"Barbados","Barbados",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.74927285223367701},0.23]
[null,"Belize","Belize",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.40302166666666672},0.23]
[null,"Benin","Benin",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.74535058179090408},0.23]
[null,"Bhutan","Bhutan",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.52591210860008886},0.23]
[null,"Bolivia (Plurinational State of)","Bolivia, Plurinational State of",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.60361404629505733},0.23]
[null,"Bosnia and Herzegovina","Bosnia and Herzegovina",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":1.1972185047864643},0.23]
[null,"Botswana","Botswana",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":1.4860623029463913},0.23]
[null,"Brazil","Brazil",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.28376405130088012},0.23]
[null,"Burkina Faso","Burkina Faso",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Burundi","Burundi",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.41389333333333339},0.23]
[null,"Cabo Verde","Cape Verde",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Cambodia","Cambodia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":1.0463155595145508},0.23]
[null,"Cameroon","Cameroon",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.65945187013002327},0.23]
[null,"Central African Republic","Central African Republic",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.18813333333333332},0.23]
[null,"Chad","Chad",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Chile","Chile",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.65660621583187295},0.23]
[null,"China","China (PRC and Hong Kong)",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.89890636354677289},0.23]
[null,"Colombia","Colombia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.40971074730147222},0.23]
[null,"Comoros","Comoros",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Congo","Congo, Republic of",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.65935248281124836},0.23]
[null,"Costa Rica","Costa Rica",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.10777421052631581},0.23]
[null,"Cote d'Ivoire","Côte d'Ivoire",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.46626367667707391},0.23]
[null,"Democratic Republic of the Congo","Congo, Democratic Republic of",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.66440737253350546},0.23]
[null,"Dominica","Dominica",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Dominican Republic","Dominican Republic",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.60124214799644926},0.23]
[null,"Ecuador","Ecuador",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.56027269075299524},0.23]
[null,"Egypt","Egypt",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.55384226605880471},0.23]
[null,"El Salvador","El Salvador",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.54749210526315795},0.23]
[null,"Equatorial Guinea","Equatorial Guinea",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.63243284947523382},0.23]
[null,"Eritrea","Eritrea",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.91528421052631581},0.23]
[null,"Eswatini","Eswatini",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.66440737253350546},0.23]
[null,"Ethiopia","Ethiopia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.66440737253350546},0.23]
[null,"Fiji","Fiji",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.6396533333333333},0.23]
[null,"Gabon","Gabon",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.94581402169996431},0.23]
[null,"Gambia","Gambia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Ghana","Ghana",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.49476036372488219},0.23]
[null,"Grenada","Grenada",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Guatemala","Guatemala",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.79782021654724322},0.23]
[null,"Guinea","Guinea",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Guinea-Bissau","Guinea-Bissau",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Guyana","Guyana",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.84658450481104885},0.23]
[null,"Haiti","Haiti",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":1.0476842105263158},0.23]
[null,"Honduras","Honduras",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.66151473684210527},0.23]
[null,"India","India",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.95092171086823973},0.23]
[null,"Indonesia","Indonesia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.78346795097088218},0.23]
[null,"Jamaica","Jamaica",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.71077986154859829},0.23]
[null,"Kazakhstan","Kazakhstan",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.79717512023385118},0.23]
[null,"Kenya","Kenya",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.57397894736842103},0.23]
[null,"Kiribati","Kiribati",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Kyrgyzstan","Kyrgyzstan",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.21714621167186182},0.23]
[null,"Lao People's Democratic Republic","Lao People's Democratic Republic",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":1.069072340425532},0.23]
[null,"Lebanon","Lebanon",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.7939578947368422},0.23]
[null,"Lesotho","Lesotho",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.66440737253350546},0.23]
[null,"Liberia","Liberia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.67727999999999999},0.23]
[null,"Madagascar","Madagascar",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.87573684210526326},0.23]
[null,"Malawi","Malawi",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.48914666666666667},0.23]
[null,"Malaysia","Malaysia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.55098890691619529},0.23]
[null,"Maldives","Maldives",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Mali","Mali",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":1.0762526315789476},0.23]
[null,"Marshall Islands","Marshall Islands",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Mauritania","Mauritania",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Mauritius","Mauritius",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.70044635381945308},0.23]
[null,"Mexico","Mexico",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.53143352435787061},0.23]
[null,"Micronesia (Federated States of)","Micronesia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Mongolia","Mongolia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":1.3663251553188454},0.23]
[null,"Morocco","Morocco",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.72854654937893293},0.23]
[null,"Mozambique","Mozambique",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.23384260480422303},0.23]
[null,"Myanmar","Myanmar",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.71926162502344382},0.23]
[null,"Namibia","Namibia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.35502449160074451},0.23]
[null,"Nepal","Nepal",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.52591210860008886},0.23]
[null,"Nicaragua","Nicaragua",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.67527473684210526},0.23]
[null,"Niger","Niger",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.77210526315789485},0.23]
[null,"Nigeria","Nigeria",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.52593749999999995},0.23]
[null,"Pakistan","Pakistan",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.59191609404656631},0.23]
[null,"Panama","Panama",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.47748425394808525},0.23]
[null,"Papua New Guinea","Papua New Guinea",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.59720701754385963},0.23]
[null,"Paraguay","Paraguay",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.59646845456989284},0.23]
[null,"Peru","Peru",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.47308044673957783},0.23]
[null,"Philippines","Philippines",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.67162321414342363},0.23]
[null,"Rwanda","Rwanda",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.71228121212121198},0.23]
[null,"Saint Kitts and Nevis","Saint Kitts and Nevis",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Saint Lucia","Saint Lucia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Samoa","Samoa",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Sao Tome and Principe","Sao Tomé & Principe",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Senegal","Senegal",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.87016014500976235},0.23]
[null,"Seychelles","Seychelles",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Sierra Leone","Sierra Leone",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.48914666666666667},0.23]
[null,"Solomon Islands","Solomon Islands",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Somalia","Somalia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"South Africa","South Africa",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":1.0702178314438704},0.23]
[null,"South Sudan","South Sudan",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.88981052631578961},0.23]
[null,"Sri Lanka","Sri Lanka",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.73074549790714349},0.23]
[null,"Sudan","Sudan",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.73554631578947371},0.23]
[null,"Tajikistan","Tajikistan",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.25535106382978728},0.23]
[null,"Thailand","Thailand",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.4504908959100154},0.23]
[null,"Timor-Leste","Timor-Leste",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Togo","Togo",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.85925309119305637},0.23]
[null,"Tonga","Tonga",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Trinidad and Tobago","Trinidad and Tobago",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.55928688693593676},0.23]
[null,"Turkey","Turkey",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.37620850365060193},0.23]
[null,"Tuvalu","Tuvalu",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Uganda","Uganda",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.27900157894736838},0.23]
[null,"Ukraine","Ukraine",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.76826104335145529},0.23]
[null,"United Republic of Tanzania","Tanzania, United Republic of",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.53053994868732812},0.23]
[null,"Uruguay","Uruguay",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.1739583772719126},0.23]
[null,"Uzbekistan","Uzbekistan",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.61228332712322942},0.23]
[null,"Vanuatu","Vanatu",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.75253333333333328},0.23]
[null,"Venezuela (Bolivarian Republic of)","Venezuela, Bolivarian Republic of",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.71092039129200291},0.23]
[null,"Viet Nam","Viet Nam",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.56044106116765835},0.23]
[null,"Yemen","Yemen",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.80729319375841657},0.23]
[null,"Zambia","Zambia",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":0.41640860304340588},0.23]
[null,"Zimbabwe","Zimbabwe",{"$f":"VLOOKUP(Table38[[#This Row],[IFC Country]],UNFCCEFs[],4,0)","v":1.5753007845098519},0.23]

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[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/"]

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[null,{"$f":"Taxonomy!E14","v":"Carrots"},{"$f":"Taxonomy!F14","v":"Tubers/Root Crops"},"Tubers/Root Crops",{"$f":"IF(Interface!$C$81<>\"\",Interface!$C$81,IFERROR(AVERAGEIF(ProcessingElectricity[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingElectricity[[#All],[Electricity kWh/kg]]),0))","v":3.7536234886956521},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(Country,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},{"$f":"IF(Interface!$C$82<>\"\",Interface!$C$82,IFERROR(AVERAGEIF(ProcessingHeatEnergy[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingHeatEnergy[[#All],[Natural Gas kWh/kg]]),0))","v":3.398611383},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":0.78168061809},{"$f":"IF(processingUserEF<>\"\",processingUserEF,SUM(CommodityGroupEnergyPerKg[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupEnergyPerKg[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$error":"#N/A"}},null,"Flour","Flour","Milling ",2.58,"Carlsson-Kanyama and Faist (2000) - 1996",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.71666672400000009},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Flour"},null,"Oat Flakes","N/A",0.5,"Carlsson-Kanyama and Faist (2000) - 1996",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.13888890000000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Pulses & Grains"}]
[null,{"$f":"Taxonomy!E15","v":"Cashew nuts"},{"$f":"Taxonomy!F15","v":"Nuts/Seeds"},"Fruits",{"$f":"IF(Interface!$C$81<>\"\",Interface!$C$81,IFERROR(AVERAGEIF(ProcessingElectricity[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingElectricity[[#All],[Electricity kWh/kg]]),0))","v":1.0853704572},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(Country,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},{"$f":"IF(Interface!$C$82<>\"\",Interface!$C$82,IFERROR(AVERAGEIF(ProcessingHeatEnergy[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingHeatEnergy[[#All],[Natural Gas kWh/kg]]),0))","v":1.3305556620000001},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":0.30602780226000004},{"$f":"IF(processingUserEF<>\"\",processingUserEF,SUM(CommodityGroupEnergyPerKg[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupEnergyPerKg[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$error":"#N/A"}},null,"Flour","Flour","Milling ",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":"Flour"},null,"Sugar - Refined","N/A",5.32,"Wang (2014) - 2001",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.4777778960000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Tubers/Root Crops"}]
[null,{"$f":"Taxonomy!E16","v":"Cassava"},{"$f":"Taxonomy!F16","v":"Tubers/Root Crops"},"Pulses & Grains",{"$f":"IF(Interface!$C$81<>\"\",Interface!$C$81,IFERROR(AVERAGEIF(ProcessingElectricity[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingElectricity[[#All],[Electricity kWh/kg]]),0))","v":1.683796431},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(Country,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},{"$f":"IF(Interface!$C$82<>\"\",Interface!$C$82,IFERROR(AVERAGEIF(ProcessingHeatEnergy[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingHeatEnergy[[#All],[Natural Gas kWh/kg]]),0))","v":1.0768519380000001},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":0.24767594574000004},{"$f":"IF(processingUserEF<>\"\",processingUserEF,SUM(CommodityGroupEnergyPerKg[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupEnergyPerKg[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$error":"#N/A"}},null,"Flour","Flour","N/A",0.42,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.116666676},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Flour"},null,"Sugar - cane","N/A",26,"Carlsson-Kanyama and Faist (2000) - 1986",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":7.2222228000000008},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Tubers/Root Crops"}]
[null,{"$f":"Taxonomy!E17","v":"Chickpeas"},{"$f":"Taxonomy!F17","v":"Pulses & Grains"},"Cotton",{"$f":"IF(Interface!$C$81<>\"\",Interface!$C$81,IFERROR(AVERAGEIF(ProcessingElectricity[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingElectricity[[#All],[Electricity kWh/kg]]),0))","v":0},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(Country,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},{"$f":"IF(Interface!$C$82<>\"\",Interface!$C$82,IFERROR(AVERAGEIF(ProcessingHeatEnergy[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingHeatEnergy[[#All],[Natural Gas kWh/kg]]),0))","v":0},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":0},{"$f":"IF(processingUserEF<>\"\",processingUserEF,SUM(CommodityGroupEnergyPerKg[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupEnergyPerKg[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$error":"#N/A"}},null,"Oat Flakes","Oats","N/A",0.3,"Carlsson-Kanyama and Faist (2000) - 1996",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":8.3333340000000006E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Pulses & Grains"},null,"Fruits and Vegetables Canned","N/A",2.54,"Carlsson-Kanyama and Faist (2000) - 1986",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.70555561200000005},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Vegetables"}]
[null,{"$f":"Taxonomy!E18","v":"Cocoa"},{"$f":"Taxonomy!F18","v":"Nuts/Seeds"},"Animal Protein",{"$f":"IF(Interface!$C$81<>\"\",Interface!$C$81,IFERROR(AVERAGEIF(ProcessingElectricity[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingElectricity[[#All],[Electricity kWh/kg]]),0))","v":1.7345960983636362},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(Country,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},{"$f":"IF(Interface!$C$82<>\"\",Interface!$C$82,IFERROR(AVERAGEIF(ProcessingHeatEnergy[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingHeatEnergy[[#All],[Natural Gas kWh/kg]]),0))","v":1.7021022382702709},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":0.39148351480216231},{"$f":"IF(processingUserEF<>\"\",processingUserEF,SUM(CommodityGroupEnergyPerKg[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupEnergyPerKg[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$error":"#N/A"}},null,"Rice","Rice","Processing ",0.43,"Lillywhite et al. (2013) ",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.11944445400000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Pulses & Grains"},null,"Fruits and Vegetables Dried","N/A",4.5,"Wang (2014) - 2001",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.2500001000000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Vegetables"}]
[null,{"$f":"Taxonomy!E19","v":"Coffee"},{"$f":"Taxonomy!F19","v":"Nuts/Seeds"},"Flour",{"$f":"IF(Interface!$C$81<>\"\",Interface!$C$81,IFERROR(AVERAGEIF(ProcessingElectricity[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingElectricity[[#All],[Electricity kWh/kg]]),0))","v":0.22638890700000003},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(Country,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},{"$f":"IF(Interface!$C$82<>\"\",Interface!$C$82,IFERROR(AVERAGEIF(ProcessingHeatEnergy[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingHeatEnergy[[#All],[Natural Gas kWh/kg]]),0))","v":13.000001040000001},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":2.9900002392000005},{"$f":"IF(processingUserEF<>\"\",processingUserEF,SUM(CommodityGroupEnergyPerKg[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupEnergyPerKg[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$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"}]
[null,{"$f":"Taxonomy!E20","v":"Cotton"},{"$f":"Taxonomy!F20","v":"Cotton"},"Vegetables",{"$f":"IF(Interface!$C$81<>\"\",Interface!$C$81,IFERROR(AVERAGEIF(ProcessingElectricity[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingElectricity[[#All],[Electricity kWh/kg]]),0))","v":0.36237376636363638},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(Country,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},{"$f":"IF(Interface!$C$82<>\"\",Interface!$C$82,IFERROR(AVERAGEIF(ProcessingHeatEnergy[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingHeatEnergy[[#All],[Natural Gas kWh/kg]]),0))","v":2.6966668824000002},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":0.62023338295200003},{"$f":"IF(processingUserEF<>\"\",processingUserEF,SUM(CommodityGroupEnergyPerKg[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupEnergyPerKg[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$error":"#N/A"}},null,"Sugar - Refined","Sugar cane","N/A",0.56000000000000005,"Wang (2014) -2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.15555556800000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Tubers/Root Crops"},null,"Tomato Juice","N/A",4.79,"Wang (2014) - 2002",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.3305556620000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Fruits"}]
[null,{"$f":"Taxonomy!E21","v":"Eggs"},{"$f":"Taxonomy!F21","v":"Animal Protein"},"Mycoprotein",{"$f":"IF(Interface!$C$81<>\"\",Interface!$C$81,IFERROR(AVERAGEIF(ProcessingElectricity[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingElectricity[[#All],[Electricity kWh/kg]]),0))","v":0.80555562000000003},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg elec]]*VLOOKUP(Country,ENERGY,3,FALSE)","v":{"$error":"#N/A"}},{"$f":"IF(Interface!$C$82<>\"\",Interface!$C$82,IFERROR(AVERAGEIF(ProcessingHeatEnergy[[#All],[Commodity Group]],CommodityGroupEnergyPerKg[[#This Row],[Unique Groups]],ProcessingHeatEnergy[[#All],[Natural Gas kWh/kg]]),0))","v":0},{"$f":"CommodityGroupEnergyPerKg[[#This Row],[Ave kWh/kg gas]]*NaturalGasEF","v":0},{"$f":"IF(processingUserEF<>\"\",processingUserEF,SUM(CommodityGroupEnergyPerKg[[#This Row],[Ave elec EF kgCO2e/kWh]]+CommodityGroupEnergyPerKg[[#This Row],[Ave gas EF kgCO2e/kWh]]))","v":{"$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"}]
[null,{"$f":"Taxonomy!E22","v":"Flour"},{"$f":"Taxonomy!F22","v":"Flour"},null,null,null,null,null,null,null,"Sugar - from 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",13,"Andersson, Ohlsson and Olsson (1998)",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":3.6111114000000004},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Tubers/Root Crops"}]
[null,{"$f":"Taxonomy!E23","v":"Garlic (green)"},{"$f":"Taxonomy!F23","v":"Vegetables"},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,{"$f":"Taxonomy!E24","v":"Ginger"},{"$f":"Taxonomy!F24","v":"Tubers/Root Crops"},"Assumed per-country electricity grid factor",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,{"$f":"Taxonomy!E25","v":"Grapes"},{"$f":"Taxonomy!F25","v":"Fruits"},"Assumed UK natural gas emission factor",null,null,null,null,null,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,{"$f":"Taxonomy!E26","v":"Lemons"},{"$f":"Taxonomy!F26","v":"Fruits"},"Relvant crop processing data is averaged, in an attempt to represent the potential range of processing activities which",null,null,null,null,null,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":{"$error":"#N/A"}},null,"Starch Maize","N/A",2.33,"Wang (2014) - 2001",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.6472222740000001},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Pulses & Grains"}]
[null,{"$f":"Taxonomy!E27","v":"Lentils"},{"$f":"Taxonomy!F27","v":"Pulses & Grains"},"can vary considerably",null,null,null,null,null,null,"Apple","Apples","Packaging",0.05,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.3888890000000001E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":{"$error":"#N/A"}},null,"Starch Wheat","N/A",8.8000000000000007,"Wang (2014) - 2001",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.4444446400000004},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Pulses & Grains"}]
[null,{"$f":"Taxonomy!E28","v":"Lettuce"},{"$f":"Taxonomy!F28","v":"Vegetables"},"Note there is no available processing data for cotton in this dataset. We may have some industry data available but",null,null,null,null,null,null,"Apple  Frozen ","Apples","N/A",21.4,"Hendrickson (1996) - 1975-77",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.9444449199999996},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":{"$error":"#N/A"}},null,"Starch Potato","N/A",3.56,"Wang (2014) - 2002",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.98888896800000003},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Tubers/Root Crops"}]
[null,{"$f":"Taxonomy!E29","v":"Maize"},{"$f":"Taxonomy!F29","v":"Pulses & Grains"},"need to check if allowed to re-use it",null,null,null,null,null,null,"Apple Canned ","Apples","N/A",0.93,"Hendrickson (1996) - 1975-78",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.25833335400000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":{"$error":"#N/A"}},null,"Vegetables Dehydrated","N/A",38,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":10.5555564},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Vegetables"}]
[null,{"$f":"Taxonomy!E30","v":"Mangoes"},{"$f":"Taxonomy!F30","v":"Fruits"},null,null,null,null,null,null,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":{"$error":"#N/A"}},null,"Vegetables Frozen ","Includes refridgerated storage after processing but prior to distribution ",1.7,"Cleland, Earle and Boag (1981) - 1981",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.47222226},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Vegetables"}]
[null,{"$f":"Taxonomy!E31","v":"Meat (cattle)"},{"$f":"Taxonomy!F31","v":"Animal Protein"},"Allow for user-defined elec and gas kWh plus a straight processing EF",null,null,null,null,null,null,"Soy Beans ","Soybeans","N/A",3.2,"Carlsson-Kanyama and Faist (2000) - 1998",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.88888896000000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Pulses & Grains"},null,"Butter","N/A",1.29,"Wang (2014) - 2001",{"$f":"ProcessingHeatEnergy[[#This Row],[Fossil Fuel/ Fuels and heat Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.35833336200000004},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E32","v":"Meat (chicken)"},{"$f":"Taxonomy!F32","v":"Animal Protein"},null,null,null,null,null,null,null,"Beet pulp ",null,"N/A",0.01,"Wang (2014) - 2001",{"$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,{"$f":"Taxonomy!E33","v":"Meat (pig)"},{"$f":"Taxonomy!F33","v":"Animal Protein"},null,null,null,null,null,null,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,{"$f":"Taxonomy!E34","v":"Milk (cattle)"},{"$f":"Taxonomy!F34","v":"Animal Protein"},null,null,null,null,null,null,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,{"$f":"Taxonomy!E35","v":"Millet"},{"$f":"Taxonomy!F35","v":"Pulses & Grains"},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,{"$f":"Taxonomy!E36","v":"Mushrooms"},{"$f":"Taxonomy!F36","v":"Mycoprotein"},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,{"$f":"Taxonomy!E37","v":"Oats"},{"$f":"Taxonomy!F37","v":"Pulses & Grains"},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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E38","v":"Onions, dry"},{"$f":"Taxonomy!F38","v":"Tubers/Root Crops"},null,null,null,null,null,null,null,"Canned Sweet Corn","Maize","Processing",2.4,"Pimentel and Hall (1984)",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E39","v":"Oranges"},{"$f":"Taxonomy!F39","v":"Fruits"},null,null,null,null,null,null,null,"Frozen Packaged Sweet Corn","Maize","Processing",7.6,"Pimentel and Hall (1984)",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E40","v":"Peanuts"},{"$f":"Taxonomy!F40","v":"Nuts/Seeds"},null,null,null,null,null,null,null,"Canned Frozen Corn ","Maize","N/A",23.96,"Hendrickson (1996) - 1975-79",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E41","v":"Peas (dry)"},{"$f":"Taxonomy!F41","v":"Pulses & Grains"},null,null,null,null,null,null,null,"Canned Sweet Corn","Maize","Processing",5.2,"Commission of the European Communities (1981) - 1979",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E42","v":"Peppers"},{"$f":"Taxonomy!F42","v":"Vegetables"},null,null,null,null,null,null,null,"Fruits and Vegetables Canned",null,"N/A",0.2,"Andersson, Ohlsson and Olsson (1998) - 1993-94",{"$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,{"$f":"Taxonomy!E43","v":"Pineapples"},{"$f":"Taxonomy!F43","v":"Fruits"},null,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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E44","v":"Potatoes"},{"$f":"Taxonomy!F44","v":"Tubers/Root Crops"},null,null,null,null,null,null,null,"Fruits and Vegetables Canned",null,"N/A",0.15,"Carlsson-Kanyama and Faist (2000) - 1986",{"$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,{"$f":"Taxonomy!E45","v":"Quinoa"},{"$f":"Taxonomy!F45","v":"Nuts/Seeds"},null,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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E46","v":"Rapeseeds"},{"$f":"Taxonomy!F46","v":"Nuts/Seeds"},null,null,null,null,null,null,null,"Fruits and Vegetables Frozen",null,"N/A",0.74,"Wang (2014) - 2001",{"$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,{"$f":"Taxonomy!E47","v":"Rice"},{"$f":"Taxonomy!F47","v":"Pulses & Grains"},null,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,{"$f":"Taxonomy!E48","v":"Rye"},{"$f":"Taxonomy!F48","v":"Pulses & Grains"},null,null,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,{"$f":"Taxonomy!E49","v":"Sesame seed"},{"$f":"Taxonomy!F49","v":"Nuts/Seeds"},null,null,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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E50","v":"Sorghum"},{"$f":"Taxonomy!F50","v":"Pulses & Grains"},null,null,null,null,null,null,null,"Green Peas Canned","Peas (dry)","From farm gate to market place - transport, processing and distribution",10.39,"Stanhill (1984)",{"$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,{"$f":"Taxonomy!E51","v":"Soybeans"},{"$f":"Taxonomy!F51","v":"Pulses & Grains"},null,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,{"$f":"Taxonomy!E52","v":"Sugar cane"},{"$f":"Taxonomy!F52","v":"Tubers/Root Crops"},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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E53","v":"Sunflower seeds"},{"$f":"Taxonomy!F53","v":"Nuts/Seeds"},null,null,null,null,null,null,null,"Potato Chips","Potatoes","N/A",1,"Carlsson-Kanyama and Faist (2000) - 1988",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E54","v":"Sweet potatoes"},{"$f":"Taxonomy!F54","v":"Tubers/Root Crops"},null,null,null,null,null,null,null,"Potato Chips","Potatoes","N/A",0.9,"Andersson, Ohlsson and Olsson (1998)",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E55","v":"Tomatoes"},{"$f":"Taxonomy!F55","v":"Fruits"},null,null,null,null,null,null,null,"Potato Chips","Potatoes","N/A",2.1,"Andersson, Ohlsson and Olsson (1998)",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E56","v":"Wheat"},{"$f":"Taxonomy!F56","v":"Pulses & Grains"},null,null,null,null,null,null,null,"Potato Chips","Potatoes","N/A",1.9,"Cleland, Earle and Boag (1981) - 1980",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E57","v":0},{"$f":"Taxonomy!F57","v":0},null,null,null,null,null,null,null,"Potato French Fries","Potatoes","Peeling, cooking, freezing and cold storage ",3.7,"Carlsson-Kanyama and Faist (2000) - 1997",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E58","v":0},{"$f":"Taxonomy!F58","v":0},null,null,null,null,null,null,null,"Potato French Fries","Potatoes","N/A",9,"Andersson, Ohlsson and Olsson (1998) - 1996",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E59","v":0},{"$f":"Taxonomy!F59","v":0},null,null,null,null,null,null,null,"Potato Fresh","Potatoes","From farm gate to market place - transport, processing and distribution",2.38,"Stanhill (1984)",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E60","v":0},{"$f":"Taxonomy!F60","v":0},null,null,null,null,null,null,null,"Potato Frozen Chips","Potatoes","From farm gate to market place - transport, processing and distribution",8.4499999999999993,"Stanhill (1984)",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,{"$f":"Taxonomy!E61","v":0},{"$f":"Taxonomy!F61","v":0},null,null,null,null,null,null,null,"Potato Dehydrated","Potatoes","From farm gate to market place - transport, processing and distribution",8.56,"Stanhill (1984)",{"$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,{"$f":"Taxonomy!E62","v":0},{"$f":"Taxonomy!F62","v":0},null,null,null,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":{"$error":"#N/A"}}]
[null,{"$f":"Taxonomy!E63","v":0},{"$f":"Taxonomy!F63","v":0},null,null,null,null,null,null,null,"Potato Frozen","Potatoes","N/A",34.770000000000003,"Hendrickson (1996) - 1975-78",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":0}]
[null,null,null,null,null,null,null,null,null,null,"Potato Dehydrated","Potatoes","N/A",62.1,"Hendrickson (1996) - 1975-79",{"$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":0}]
[null,null,null,null,null,null,null,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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Starch Maize","Maize","N/A",1,"Wang (2014) - 2001",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Starch Wheat","Wheat","N/A",2.9,"Wang (2014) - 2001",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Starch Potato","Potatoes","N/A",1.43,"Wang (2014) - 2002",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato Puree, glass packaged","Tomatoes","Processing ",3.05,"Del Borghi et al. (2014)",{"$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,null,null,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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato Puree, glass packaged","Tomatoes","Processing ",5.38,"Del Borghi et al. (2014)",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato Puree, glass packaged","Tomatoes","Processing ",4.97,"Del Borghi et al. (2014)",{"$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},{"$f":"INDEX(ProcessingElectricity[[#All],[Commodity Group]],MATCH(ProcessingHeatEnergy[[#This Row],[Product]],ProcessingElectricity[[#All],[Product]],0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato Puree, carton based packaged ","Tomatoes","Processing ",5.23,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.4527778940000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato Puree, carton based packaged ","Tomatoes","Processing ",5.79,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.608333462},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato Puree, carton based packaged ","Tomatoes","Processing ",6.08,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.6888890240000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato Copped, packaged","Tomatoes","Processing ",5.19,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.4416667820000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato Copped, packaged","Tomatoes","Processing ",3.68,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.022222304},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato Copped, packaged","Tomatoes","Processing ",3.68,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.022222304},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato Peeled, canned ","Tomatoes","Processing ",3.46,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.96111118800000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato Peeled, canned ","Tomatoes","Processing ",3.46,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.96111118800000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato Peeled, canned ","Tomatoes","Processing ",3.25,"Del Borghi et al. (2014)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.9027778500000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,null,null,null,null,null,null,null,null,null,"Tomato - primary","Tomatoes","Processing and stoage ",0.11,"Van Hauwermeiren et al. (2007)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":3.0555558000000003E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Fruits"}]
[null,null,null,null,null,null,null,null,null,null,"Vegetables Dehydrated",null,"N/A",3.4,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.94444452000000001},"Vegetables"]
[null,null,null,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",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.22500001800000002},"Vegetables"]
[null,null,null,null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",0.46,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.127777788},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",0.71,"Cox and Miller (1986) - 1981",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.19722223799999999},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",0.45,"Cox and Miller (1986) - 1979",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.12500001000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",2.1,"Xu and Flapper (2011) - 2004",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.58333338000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",60,"Commission of the European Communities (1981) - 1977",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":16.666668000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",0.71,"Foster et al. (2006) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.19722223799999999},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Butter - primary","Milk (cattle)","Processing and Packaging",5.4,"Foster et al. (2006) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.5000001200000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Butter","Milk (cattle)","N/A",0.6,"Van Alfen (2014) - 2003",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.16666668000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Cheese","Milk (cattle)","N/A",1.21,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.33611113800000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Cheese","Milk (cattle)","N/A",0.76,"Cox and Miller (1986)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.21111112800000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Cheese","Milk (cattle)","N/A",0.8,"Cox and Miller (1986)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.22222224000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Cottage Cheese","Milk (cattle)","N/A",0.2,"Carlsson-Kanyama and Faist (2000) - 1986",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Mozarella Cheese","Milk (cattle)","Manufacturing",20.5,"Kim et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.6944449000000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Cheese ","Milk (cattle)","Processing ",13.85,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":3.8472225300000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Cream Fresh","Milk (cattle)","N/A",0.8,"Carlsson-Kanyama and Faist (2000) - 1997",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.22222224000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Cream Long-term","Milk (cattle)","N/A",1,"Carlsson-Kanyama and Faist (2000) - 1997",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.27777780000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.2,"Cox and Miller (1986)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.2,"Cox and Miller (1986)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.8,"Xu, Flapper and Kramer (2009) - 2005",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.22222224000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1.2,"Xu, Flapper and Kramer (2009) - 2005",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.33333336000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1.4,"Xu, Flapper and Kramer (2009) - 2005",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.38888892000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1.5,"Xu, Flapper and Kramer (2009) - 2005",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.41666670000000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.1,"Xu, Flapper and Kramer (2009) - 2008",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.7777780000000002E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",3.2,"Xu, Flapper and Kramer (2009) - 2008",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.88888896000000006},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.4,"Xu, Flapper and Kramer (2009) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.11111112000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1.1000000000000001,"Xu, Flapper and Kramer (2009) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.30555558000000005},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1.2,"Xu, Flapper and Kramer (2009) - 1993,2007",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.33333336000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.2,"Xu, Flapper and Kramer (2009) - 2006",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.2,"Xu, Flapper and Kramer (2009) - 2006",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Powder Milk","Milk (cattle)","Total",{"$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,"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,"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,"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,"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,"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},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Powder Milk","Milk (cattle)","N/A",1.6,"Xu and Flapper (2011)- 2002",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.44444448000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Powder Milk","Milk (cattle)","N/A",0.9,"Xu and Flapper (2011)- 1997",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.25000002000000004},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","Processing",1.4,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.38888892000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1.48,"Hendrickson (1996) - 1979",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.41111114400000004},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Powder Milk","Milk (cattle)","N/A",15,"Commission of the European Communities (1981)- 1977",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":4.1666670000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","Processing",0.2,"Foster et al. (2006) - 1999-2003",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.2,"Van Alfen (2014) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.5,"Van Alfen (2014) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.13888890000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.7,"Van Alfen (2014) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.19444446000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.8,"Van Alfen (2014) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.22222224000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",1,"Van Alfen (2014) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.27777780000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Milk","Milk (cattle)","N/A",0.2,"Van Alfen (2014) - 2002",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":5.5555560000000004E-2},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Dried Milk","Milk (cattle)","N/A",1.4,"Van Alfen (2014) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.38888892000000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Yoghurt - primary","Milk (cattle)","N/A",1.2,"Foster et al. (2006) - 2000",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.33333336000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Yoghurt - primary","Milk (cattle)","Processing",4.5999999999999996,"Foster et al. (2006) - 2004",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.2777778799999999},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Beef - Carcas","Meat (cattle)","Farm to market - transport, processing and distribution",32.200000000000003,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":8.9444451600000008},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Beef - Deboned meat","Meat (cattle)","N/A",43.3,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":12.02777874},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Beef","Meat (cattle)","Processing",5.16,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.4333334480000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Fishmeal ",null,"N/A",1.3,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.36111114000000005},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":0}]
[null,null,null,null,null,null,null,null,null,null,"Fish Frozen",null,"Includes refrigeration",0.61,"Wang (2014)- 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.16944445800000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":0}]
[null,null,null,null,null,null,null,null,null,null,"Fish Frozen (whole fish and fillets)",null,"Includes refrigeration, storage after processing",{"$f":"0.63+2.6","v":3.23},"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.89722229400000009},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":0}]
[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},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":0}]
[null,null,null,null,null,null,null,null,null,null,"Salmon",null,"Packaging not inlcuded",0.56999999999999995,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.15833334599999999},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":0}]
[null,null,null,null,null,null,null,null,null,null,"Frozen fish fingers, cod, packed (primary)",null,"Processing ",6.5,"Foster et al. (2006)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.8055557000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":0}]
[null,null,null,null,null,null,null,null,null,null,"Meat",null,"Processed",3.5,"Cleland, Earle and Boag (1981) - 1980",{"$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,"Meat",null,"Grinding",0.3,"Carlsson-Kanyama and Faist (2000) - 1997",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":8.3333340000000006E-2},"Animal Protein"]
[null,null,null,null,null,null,null,null,null,null,"Meat",null,"N/A",5.05,"Hendrickson (1996)",{"$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,"Meat - Canned",null,"N/A",4,"Commission of the European Communities (1981)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.1111112000000001},"Animal Protein"]
[null,null,null,null,null,null,null,null,null,null,"Pig","Meat (pig)","N/A",0.47,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.13055556600000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Pig - Carcas","Meat (pig)","Farm to market - transport, processing and distribution",52.4,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":14.55555672},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Pig - Deboned meat ","Meat (pig)","Includes energy inpur for slaughtering",62.5,"Stanhill (1984)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":17.361112500000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Pig - ham and bacon","Meat (pig)","Direct use in processing + allocated baseload ",6.7,"Cleland, Earle and Boag (1981)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.8611112600000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Pork","Meat (pig)","Processing",3,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.83333340000000011},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Pork","Meat (pig)","Processing",4,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.1111112000000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Poultry ","Meat (chicken)","N/A - dress carcass weight",1.01,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.28055557800000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Poultry - Fresh","Meat (chicken)","N/A",{"$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,"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},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Animal Protein"}]
[null,null,null,null,null,null,null,null,null,null,"Cocoa Beans","Cocoa","N/A",6.38,"Wang (2014) - 2001",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":1.7722223640000001},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,"Coffee - Instant","Coffee","N/A",2.7,"Cleland, Earle and Boag (1981) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.75000006000000008},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,"Coffee - Instant","Coffee","Processing, packaging, shipping",2.5,"Carlsson-Kanyama and Faist (2000) - 1980",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":0.69444450000000002},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,"Coffee - Instant","Coffee","Processing",8.3000000000000007,"Morawicki and Hager (2014)  2009",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":2.3055557400000004},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,"Coffee","Coffee","Processing",23.24,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":6.4555560720000003},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,"Coffee","Coffee","Packaging",30.71,"Lillywhite et al. (2013)",{"$f":"ProcessingElectricity[[#This Row],[Electricity Energy Consumption (MJ/kg)]]*MJtoKWH","v":8.5305562380000008},{"$f":"INDEX(C:C,MATCH(ProcessingElectricity[[#This Row],[IFC Name]],B:B,0))","v":"Nuts/Seeds"}]
[null,null,null,null,null,null,null,null,null,null,"Coffee - Instant","Coffee","N/A",79.28,"Hendrickson (1996) - 1979",{"$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"}]

{"sheet":"FertilizerManufacturing","index":26,"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"]

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["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]
["Global","Cattle","Feedlots","Aggregated","GlobalCattleFeedlotsAggregated",93.186264893005884,1518763958.8796897,141527940582.11307,29153218432.755577,73415166404.514221,38959555744.843262,18546529912.615898,0,10652737371.988527,18314646098.563,2074857590.9202993,0,68377186311.237755,5037980093.2764597,9992172274.2917309,3162599133.2970743,2504617906.9552536,2864613888.9670506]
["Global","Cattle","Feedlots","Meat","GlobalCattleFeedlotsMeat",93.186264893005884,1518763958.8796897,141527940582.11307,29153218432.755577,73415166404.514221,38959555744.843262,18546529912.615898,0,10652737371.988527,18314646098.563,2074857590.9202993,0,68377186311.237755,5037980093.2764597,9992172274.2917309,3162599133.2970743,2504617906.9552536,2864613888.9670506]
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["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":28,"n_rows":85,"n_cols":34,"rows_kept":85,"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,"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,1.03,"convert from kg to litres of milk",null,null,null,null,"Table 2.19"]
[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,"Sheep",null,3.3000000000000002E-2,"standardised protein content of milk",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,null,"http://www.fao.org/3/k7930e/k7930e00.pdf",null,null,null,null,"Egg weight (EGGwght) (gr)",48,58,58,58,42,44,48,45,50,41]
[null,null,null,null,null,null,null,null,null,null,null,null,null,0.65,0.20200000000000001,"Pigs"]
[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,null,null,null,null,"Section 9.1.3"]
[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,"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,0.124]
[null,"TABLE 9.2. Dressing percentages "]
[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,"Dairy cattle"]
[null,"     Adult and replacement female",50,50,50,50,48,50,50,50,50,47]
[null,"     Adult and replacement male",50,50,50,50,48,50,50,50,50,47]
[null,"     Surplus female and male",52,52,52,52,50,55,52,55,52,47,null,{"$f":"AVERAGE(C15:L17)","v":50.3},"Dairy cattle"]
[null,"Beef cattle"]
[null,"     Adult and replacement female",55,55,55,55,50,50,50,50,50,47]
[null,"     Adult and replacement male",55,55,55,55,50,50,50,50,50,47]
[null,"     Surplus female and male",60,60,60,60,55,55,55,55,55,47,null,{"$f":"AVERAGE(C19:L21)","v":53.2},"Beef cattle"]
[null,"Cattle",{"$f":"AVERAGE(C19:C21,C15:C17)","v":53.666666666666664},{"$f":"AVERAGE(D19:D21,D15:D17)","v":53.666666666666664},53.666666666666664,53.666666666666664,50.166666666666664,51.666666666666664,51.166666666666664,51.666666666666664,51.166666666666664,47,null,51.75,"Averages per region"]
[null,"Buffaloes"]
[null,"     Adult and replacement female",49,49,49,49,49,49,49,49,49,49,null,"-"]
[null,"     Adult and replacement male",50,50,50,50,50,50,50,50,50,50,null,"-"]
[null,"     Surplus female and male",55,55,55,55,55,55,55,55,55,55,null,"-"]
[null,"Sheep",55,45,48,45,45,49,50,48,49,45,null,"-"]
[null,"Goats",52,43,43,43,44,48,45,43,44,48,null,"-"]
[null,"Pigs"]
[null,"     Backyard systems",65,65,65,65,65,65,65,65,65,65,null,{"$f":"AVERAGE(C28:L30)","v":55.15}]
[null,"     Intermediate systems",75,75,75,75,75,75,75,75,75,75,null,{"$f":"AVERAGE(C29:L31)","v":70}]
[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,"Aggregated",{"$f":"AVERAGE(C30:C32)","v":71.666666666666671},{"$f":"AVERAGE(D30:D32)","v":71.666666666666671},70.033333333333346,71.666666666666671,71.666666666666671,71.666666666666671,71.666666666666671,71.666666666666671,71.666666666666671,71.666666666666671,null,{"$f":"AVERAGE(C31:L33)","v":73.671111111111102}]
[null,"Chicken"]
[null,"     Backyard systems (chicken)",{"$f":"AVERAGE(C37:C38)","v":61.5},{"$f":"AVERAGE(D37:D38)","v":62.5},61,62.5,61,59,60.5,61.5,71.5,60,null,{"$f":"AVERAGE(C32:L35)","v":69.371111111111119}]
[]
[null,"     Layers",55,55,55,55,55,55,55,55,55,55,null,{"$f":"AVERAGE(C35:L37)","v":58.55}]
[null,"     Broilers",68,70,67,70,67,63,66,68,88,65,null,{"$f":"AVERAGE(C36:L38)","v":62.1}]
[null,"Aggregated (chicken)",{"$f":"AVERAGE(C36:C38)","v":61.5},{"$f":"AVERAGE(D36:D38)","v":62.5},61,62.5,61,59,60.5,61.5,71.5,60,null,{"$f":"AVERAGE(C37:L39)","v":62.1}]
[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,"* Specific country values in table below"]
[]
[null,"COUNTRY","Region","Value"]
[null,"Albania","Western Europe",75]
[null,"Andorra","Western Europe",75]
[null,"Austria","Western Europe",78.100000000000009]
[null,"Belgium","Western Europe",80]
[null,"Bosnia and Herzegovina","Western Europe",75]
[null,"Croatia","Western Europe",75]
[null,"Denmark","Western Europe",75.5]
[null,"Estonia","Western Europe",75]
[null,"Faroe Islands","Western Europe",75]
[null,"Finland","Western Europe",75]
[null,"France","Western Europe",76.5]
[null,"Germany","Western Europe",77.400000000000006]
[null,"Gibraltar","Western Europe",0]
[null,"Greece","Western Europe",75]
[null,"Guernsey","Western Europe",75]
[null,"Holy See","Western Europe",0]
[null,"Iceland","Western Europe",75]
[null,"Ireland","Western Europe",76]
[null,"Isle of Man","Western Europe",75]
[null,"Italy","Western Europe",77.2]
[null,"Jersey","Western Europe",75]
[null,"Latvia","Western Europe",75]
[null,"Liechtenstein","Western Europe",75]
[null,"Lithuania","Western Europe",75]
[null,"Luxembourg","Western Europe",75]
[null,"Madeira Islands","Western Europe",75]
[null,"Malta","Western Europe",75]
[null,"Monaco","Western Europe",0]
[null,"Netherlands","Western Europe",77.400000000000006]
[null,"Norway","Western Europe",75]
[null,"Portugal","Western Europe",75]
[null,"San Marino","Western Europe",75]
[null,"Slovenia","Western Europe",75]
[null,"Spain","Western Europe",75.599999999999994]
[null,"Svalbard and Jan Mayen Islands","Western Europe",75]
[null,"Sweden","Western Europe",74.599999999999994]
[null,"Switzerland","Western Europe",75]
[null,"The former Yugoslav Republic of Macedonia","Western Europe",75]
[null,"U.K. of Great Britain and Northern Ireland","Western Europe",75.900000000000006]
[null,"Montenegro","Western Europe",75]
[null,"Serbia","Western Europe",75]
[null,"Azores Islands","Western Europe",75]

{"sheet":"MEAT_MILK_EGGS","index":29,"n_rows":85,"n_cols":40,"rows_kept":85,"cut":false,"hidden":true,"merged":[[3,22,3,23],[3,25,3,29],[3,31,3,35],[4,4,4,7],[4,8,4,11],[4,12,4,15],[4,16,4,19],[4,20,4,23],[4,25,4,29],[4,31,4,35],[3,4,3,7],[3,8,3,11],[3,12,3,15],[3,16,3,17],[3,18,3,19],[3,20,3,21],[20,22,20,23],[20,25,20,29],[20,31,20,35],[21,4,21,7],[21,8,21,11],[21,12,21,15],[21,16,21,19],[21,20,21,23],[21,25,21,29],[21,31,21,35],[20,4,20,7],[20,8,20,11],[20,12,20,15],[20,16,20,17],[20,18,20,19],[20,20,20,21],[37,25,37,29],[37,31,37,35],[38,4,38,7],[38,8,38,11],[38,12,38,15],[38,16,38,19],[38,20,38,23],[38,25,38,29],[38,31,38,35],[37,4,37,7],[37,8,37,11],[37,12,37,15],[37,16,37,19],[37,20,37,21],[37,22,37,23],[54,25,54,29],[54,31,54,35],[55,4,55,7],[55,8,55,11],[55,12,55,15],[55,16,55,19],[55,20,55,23],[55,25,55,29],[55,31,55,35],[54,4,54,7],[54,8,54,11],[54,12,54,15],[54,16,54,19],[54,20,54,21],[54,22,54,23],[71,25,71,29],[72,4,72,7],[72,8,72,11],[72,12,72,15],[72,16,72,19],[72,20,72,23],[72,25,72,29],[71,4,71,7],[71,8,71,11],[71,12,71,15],[71,16,71,19],[71,20,71,21],[71,22,71,23]]}
["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,{"$f":"'Crops & Countries'!H28","v":"Meat (cattle)"},null,null,null,null,null,"Live animal (cattle)",null,null,null,null,null,"% CH4","% N2O","Figure 5, Large Ruminant GHGs"]
[null,null,null,null,"Aggregated",null,null,null,"Grassland systems",null,null,null,"Mixed systems",null,null,null,"Grassland systems",null,"Feedlots",null,"Mixed systems",null,"Feedlots",null,null,"EF by deadweight (slaughter gate carcass) without LUC:",null,null,null,null,null,"EF by liveweight at farm gate without LUC"]
[null,null,null,null,"per kg protein (aggregated)",null,null,null,"per kg protein (grassland)",null,null,null,"per kg protein (mixed)",null,null,null,"per kg protein (grassland + feedlot)",null,null,null,"per kg protein (mixed + feedlot)",null,null,null,null,"per kg carcass",null,null,null,null,null,"per kg liveweight"]
[null,"FAO Region","IFC Region",null,"EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing","EF (per kg protein)","EF (LUC feed)","EF (LUC pasture)","EF Processing",{"$f":"C6","v":"IFC Region"},"Aggregated","Grassland","Mixed","Grass+lot","Mixed+lot",{"$f":"Y6","v":"IFC Region"},"Aggregated","Grassland","Mixed","Grass+lot","Mixed+lot"]
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[null,"WESTERN EUROPE","Western 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[]
[]
[null,"Cattle",null,null,"Milk",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$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,"EAST ASIA AND SOUTHEAST ASIA","East Asia and Pacific",null,{"$f":"VLOOKUP(CONCATENATE($B25,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":77.939551138570991},{"$f":"VLOOKUP(CONCATENATE($B25,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B25,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.39453537380352643},{"$f":"VLOOKUP(CONCATENATE($B25,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B25,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B25,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B25,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.9205023667559864},{"$f":"VLOOKUP(CONCATENATE($B25,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":76.122798743494954},{"$f":"VLOOKUP(CONCATENATE($B25,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B25,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.16055644827847182},{"$f":"VLOOKUP(CONCATENATE($B25,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B25,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B25,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B25,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":5.0733642385596882},{"$f":"VLOOKUP(CONCATENATE($B25,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":79.379672973374994},{"$f":"VLOOKUP(CONCATENATE($B25,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B25,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.58000817705721686},{"$f":"VLOOKUP(CONCATENATE($B25,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B25,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B25,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B25,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":4.7993302577277186},null,null,null,null,null,null,null,null,"East Asia and Pacific",{"$f":"(E25-SUM(F25:H25))*ProteinData!R5","v":2.3966089421343786},{"$f":"(I25-SUM(J25:L25))*ProteinData!R5","v":2.3393329758696741},{"$f":"(M25-SUM(N25:P25))*ProteinData!R5","v":2.442011039773472},null,null,"East Asia and Pacific",{"$f":"Z25/ProteinData!R3","v":2.326804798188717},{"$f":"AA25/ProteinData!R3","v":2.2711970639511398},{"$f":"AB25/ProteinData!R3","v":2.3708845046344389},null,null,null,{"$f":"0.465+0.014","v":0.47900000000000004},0.29799999999999999]
[null,"EASTERN EUROPE","Europe and Central Asia",null,{"$f":"VLOOKUP(CONCATENATE($B26,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":47.794768712499227},{"$f":"VLOOKUP(CONCATENATE($B26,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B26,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.5719374591015155},{"$f":"VLOOKUP(CONCATENATE($B26,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B26,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B26,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B26,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.612568251601874},{"$f":"VLOOKUP(CONCATENATE($B26,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":48.554515071294738},{"$f":"VLOOKUP(CONCATENATE($B26,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B26,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.42134998632071063},{"$f":"VLOOKUP(CONCATENATE($B26,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B26,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B26,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B26,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.6093015672234015},{"$f":"VLOOKUP(CONCATENATE($B26,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":47.577620880052486},{"$f":"VLOOKUP(CONCATENATE($B26,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B26,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.61497780135445768},{"$f":"VLOOKUP(CONCATENATE($B26,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B26,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B26,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B26,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.6135019229829357},null,null,null,null,null,null,null,null,"Europe and Central Asia",{"$f":"(E26-SUM(F26:H26))*ProteinData!R5","v":1.4721386790592628},{"$f":"(I26-SUM(J26:L26))*ProteinData!R5","v":1.5022874960857708},{"$f":"(M26-SUM(N26:P26))*ProteinData!R5","v":1.4635216581385981},null,null,"Europe and Central Asia",{"$f":"Z26/ProteinData!R3","v":1.4292608534555948},{"$f":"AA26/ProteinData!R3","v":1.4585315495978357},{"$f":"AB26/ProteinData!R3","v":1.4208948137267943},null,null,null,0.47900000000000004,0.29799999999999999]
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[null,"NEAR EAST AND NORTH AFRICA","Middle East and North Africa",null,{"$f":"VLOOKUP(CONCATENATE($B28,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":164.84846312100251},{"$f":"VLOOKUP(CONCATENATE($B28,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B28,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.2417119624972488},{"$f":"VLOOKUP(CONCATENATE($B28,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B28,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B28,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B28,$B$20,E$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":3.3024135406870072},{"$f":"VLOOKUP(CONCATENATE($B28,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":243.42207472977216},{"$f":"VLOOKUP(CONCATENATE($B28,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B28,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.17879423732431213},{"$f":"VLOOKUP(CONCATENATE($B28,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B28,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B28,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B28,$B$20,I$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.8847757766627771},{"$f":"VLOOKUP(CONCATENATE($B28,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":113.18531881091535},{"$f":"VLOOKUP(CONCATENATE($B28,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B28,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.28308116328512545},{"$f":"VLOOKUP(CONCATENATE($B28,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B28,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B28,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B28,$B$20,M$21,$E$20),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":3.5770156574836562},null,null,null,null,null,null,null,null,"Middle East and North Africa",{"$f":"(E28-SUM(F28:H28))*ProteinData!R5","v":5.3230431413880028},{"$f":"(I28-SUM(J28:L28))*ProteinData!R5","v":7.9318306556209075},{"$f":"(M28-SUM(N28:P28))*ProteinData!R5","v":3.6077323256748368},null,null,"Middle East and North Africa",{"$f":"Z28/ProteinData!R3","v":5.168003049891265},{"$f":"AA28/ProteinData!R3","v":7.7008064617678711},{"$f":"AB28/ProteinData!R3","v":3.5026527433736279},null,null,null,0.47900000000000004,0.29799999999999999]
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[null,"SUB-SAHARAN AFRICA","Africa",null,{"$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!R5","v":6.2193438331934958},{"$f":"(I33-SUM(J33:L33))*ProteinData!R5","v":7.7464953102025875},{"$f":"(M33-SUM(N33:P33))*ProteinData!R5","v":4.9982840648324327},null,null,"Africa",{"$f":"Z33/ProteinData!R3","v":6.0381978963043643},{"$f":"AA33/ProteinData!R3","v":7.5208692332063958},{"$f":"AB33/ProteinData!R3","v":4.8527029755654683},null,null,null,0.47900000000000004,0.29799999999999999]
[null,"WESTERN EUROPE","Western Europe",null,{"$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!R5","v":1.3780492859062694},{"$f":"(I34-SUM(J34:L34))*ProteinData!R5","v":1.3906222395319094},{"$f":"(M34-SUM(N34:P34))*ProteinData!R5","v":1.3720612348783141},null,null,"Western Europe",{"$f":"Z34/ProteinData!R3","v":1.3379119280643392},{"$f":"AA34/ProteinData!R3","v":1.3501186791571935},{"$f":"AB34/ProteinData!R3","v":1.3320982862896253},null,null,null,0.47900000000000004,0.29799999999999999]
[]
[]
[null,"Pigs",null,null,"Meat",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$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,"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!X11","v":3.3931587531598839},{"$f":"(I75-SUM(J75:L75))*ProteinData!X11","v":3.4705839614796159},{"$f":"(M75-SUM(N75:P75))*ProteinData!X11","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!X11","v":4.3883410283525075},{"$f":"(I76-SUM(J76:L76))*ProteinData!X11","v":6.0542855964569329},{"$f":"(M76-SUM(N76:P76))*ProteinData!X11","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!X11","v":2.0385450289007188},{"$f":"(I77-SUM(J77:L77))*ProteinData!X11","v":2.0154536327654862},{"$f":"(M77-SUM(N77:P77))*ProteinData!X11","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!X11","v":2.2713474682288362},{"$f":"(I78-SUM(J78:L78))*ProteinData!X11","v":2.3945573379041925},{"$f":"(M78-SUM(N78:P78))*ProteinData!X11","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!X11","v":2.7351172483352548},{"$f":"(I79-SUM(J79:L79))*ProteinData!X11","v":1.9049501547338767},{"$f":"(M79-SUM(N79:P79))*ProteinData!X11","v":2.8325334269918709},null,null,null,null,null,null,null,null,null,4.2999999999999997E-2,0.371]
[null,"NORTH AMERICA",null,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$585,3,FALSE)","v":1.2781615056479461},null,null,null,null,{"$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$585,3,FALSE)","v":1.2781615056479461},null,null,null,null,null,null,null,null,null,{"$f":"(E80-SUM(F80:H80))*ProteinData!X11","v":1.8740570335277253},null,{"$f":"(M80-SUM(N80:P80))*ProteinData!X11","v":1.8740570335277253},null,null,null,null,null,null,null,null,null,4.2999999999999997E-2,0.371]
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[null,"SOUTH ASIA","South Asia",null,{"$f":"VLOOKUP(CONCATENATE($B83,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":25.885138474996378},{"$f":"VLOOKUP(CONCATENATE($B83,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B83,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0.93112663789501182},{"$f":"VLOOKUP(CONCATENATE($B83,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B83,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B83,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B83,$B$71,E$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.9130750228956976},{"$f":"VLOOKUP(CONCATENATE($B83,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":22.14842647431389},{"$f":"VLOOKUP(CONCATENATE($B83,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B83,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B83,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B83,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B83,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B83,$B$71,I$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B83,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,2,FALSE)","v":27.0359940658102},{"$f":"VLOOKUP(CONCATENATE($B83,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,12,FALSE)/VLOOKUP(CONCATENATE($B83,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":1.2179007582396988},{"$f":"VLOOKUP(CONCATENATE($B83,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,13,FALSE)/VLOOKUP(CONCATENATE($B83,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":0},{"$f":"VLOOKUP(CONCATENATE($B83,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,19,FALSE)/VLOOKUP(CONCATENATE($B83,$B$71,M$72,$E$71),GLEAM_GRL!$E$3:$W$585,3,FALSE)","v":2.502275658466135},null,null,null,null,null,null,null,null,"South Asia",{"$f":"(E83-SUM(F83:H83))*ProteinData!X11","v":2.8570761649615029},{"$f":"(I83-SUM(J83:L83))*ProteinData!X11","v":2.7464048828149226},{"$f":"(M83-SUM(N83:P83))*ProteinData!X11","v":2.8911613884889418},null,null,null,null,null,null,null,null,null,4.2999999999999997E-2,0.371]
[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!X11","v":3.668757866893702},{"$f":"(I84-SUM(J84:L84))*ProteinData!X11","v":3.278543403656172},{"$f":"(M84-SUM(N84:P84))*ProteinData!X11","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!X11","v":2.0072275904083399},{"$f":"(I85-SUM(J85:L85))*ProteinData!X11","v":1.3448730904809776},{"$f":"(M85-SUM(N85:P85))*ProteinData!X11","v":2.0172430491884037},null,null,null,null,null,null,null,null,null,4.2999999999999997E-2,0.371]

{"sheet":"Logistics","index":30,"n_rows":121,"n_cols":17,"rows_kept":121,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Data from the Logistics Performance Index (LPI) - 2018",null,"https://lpi.worldbank.org/"]
[]
[null,"Country","LPI 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,null,null,null,null,null,"Notes: "]
[null,"Angola","Angola",{"$error":"#N/A"},1,1246700,{"$f":"SQRT(F5)","v":1116.5572085656875},"",{"$f":"IFERROR(D5/G5,\"\")","v":""},{"$f":"IF(ISNA(D5),G5*AVERAGE($I$5:$I$121),D5)","v":1888.7988543311644},null,null,null,null,null,null,"Concept for creating estimated land distances is to look at the relationship (ratio) between distance and country size, then apply the average to those missing km data in col D"]
[null,"Antigua and Barbuda",{"$error":"#N/A"},{"$error":"#N/A"},1,442,{"$f":"SQRT(F6)","v":21.023796041628639},"",{"$f":"IFERROR(D6/G6,\"\")","v":""},{"$f":"IF(ISNA(D6),G6*AVERAGE($I$5:$I$121),D6)","v":35.564431067648343},null,null,null,null,null,null,"Calculated the average European storage days from the full data set = 3.8"]
[null,"Argentina","Argentina",1250,7,2780400,1667.4531477675766,4.4957560063300245E-4,0.74964625043499888,1250]
[null,"Bahamas",{"$error":"#N/A"},{"$error":"#N/A"},1,13943,118.0804810288305,"","",199.74818627755687]
[null,"Bangladesh","Bangladesh",304,7,147570,384.14840882138247,"",0.79136082050349166,304]
[null,"Barbados",{"$error":"#N/A"},{"$error":"#N/A"},1,430,20.73644135332772,"","",35.078333981098979]
[null,"Belize",{"$error":"#N/A"},{"$error":"#N/A"},1,22966,151.54537274361101,"","",256.35831663746069]
[null,"Benin","Benin",909,7,114763,338.76688149817716,"",2.6832611144867511,909]
[null,"Bhutan","Bhutan",{"$error":"#N/A"},1,38394,195.94386951369518,"","",331.46403373823148]
[null,"Bolivia (Plurinational State of)","Bolivia",1250,6,1098581,1048.1321481569012,1.1378314389198429E-3,1.1925977103155125,1250]
[null,"Bosnia and Herzegovina",null,{"$error":"#N/A"},1,51209,226.29405648403582,null,"",382.80524396780442]
[null,"Botswana","Botswana",{"$error":"#N/A"},1,581730,762.71226553661768,"","",1290.2250258905017]
[null,"Brazil","Brazil",415,8,8515767,2918.1787128275746,4.8733132317969714E-5,0.14221198933970874,415]
[null,"Burkina Faso","Burkina Faso",3500,42,274222,523.66210479659492,1.276338149382617E-2,6.6836992173789209,3500]
[null,"Burundi","Burundi",689,12,27834,166.83524807426036,"",4.129822732024337,689]
[null,"Cabo Verde",{"$error":"#N/A"},{"$error":"#N/A"},1,4033,63.505905237229712,"","",107.42833428967673]
[null,"Cambodia","Cambodia",178,5,181035,425.48207952862128,"",0.41834899415082488,178]
[null,"Cameroon","Cameroon",1040,11,475442,689.52302354598714,2.1874382153869451E-3,1.508289012093645,1040]
[null,"Central African Republic","C.A.R.",{"$error":"#N/A"},1,622984,789.2933548434321,"","",1335.190326946665]
[null,"Chad","Chad",2092,24,1284000,1133.1372379372235,1.6292834890965732E-3,1.8462017926516134,2092]
[null,"Chile","Chile",{"$error":"#N/A"},1,756102,869.54125836558205,"","",1470.9398855651812]
[null,"China","China",402,6,9596961,3097.8962216317059,4.1888260252386146E-5,0.12976548316659262,402]
[null,"Colombia","Colombia",474,3,1141748,1068.5260876553273,4.1515290589517128E-4,0.44360171031490753,474]
[null,"Comoros","Comoros",{"$error":"#N/A"},1,1862,43.150898020782833,"","",72.995244775423117]
[null,"Congo","Congo, Rep.",2000,18,342000,584.80766068853779,5.8479532163742687E-3,3.4199278402838473,2000]
[null,"Costa Rica","Costa Rica",75,3,51100,226.05309110914629,"",0.33178046640285663,75]
[null,"Cote d'Ivoire","Cote d'Ivoire",{"$error":"#N/A"},1,322463,567.85825696206973,"","",960.60463086370339]
[null,"Democratic Republic of the Congo","Congo, Dem. Rep.",300,18,2344858,1531.2929177658989,1.2793951701979396E-4,0.19591287631480017,300]
[null,"Dominica",{"$error":"#N/A"},{"$error":"#N/A"},1,751,27.404379212089442,"","",46.358000881963925]
[null,"Dominican Republic","Dominican Republic",75,2,48671,220.61504935067327,"",0.33995867562409843,75]
[null,"Ecuador","Ecuador",25,1,276841,526.1568207293335,9.0304543040951299E-5,4.7514351263842194E-2,25]
[null,"Egypt",null,{"$error":"#N/A"},1,1002450,1001.2242506052278,null,"",1693.6984535714259]
[null,"El Salvador","El Salvador",{"$error":"#N/A"},1,21041,145.05516192124981,"","",245.37929767488473]
[null,"Equatorial Guinea","Equatorial Guinea",{"$error":"#N/A"},1,28051,167.48432762500497,"","",283.32109067918316]
[null,"Eritrea","Eritrea",{"$error":"#N/A"},1,117600,342.92856398964494,"","",580.10738170158618]
[null,"Eswatini",null,{"$error":"#N/A"},1,17364,131.77253128023307,null,"",222.91003470762092]
[null,"Ethiopia","Ethiopia",750,6,1104300,1050.8567932882197,6.7916327085031244E-4,0.71370333692489785,750]
[null,"Fiji","Fiji",{"$error":"#N/A"},1,18272,135.17396198972642,"","",228.66398835898005]
[null,"Gabon","Gabon",{"$error":"#N/A"},1,267668,517.36640787743454,"","",875.1912315568909]
[null,"Gambia","Gambia, The",25,1,11295,106.2779375035101,"",0.23523226539068195,25]
[null,"Ghana","Ghana",625,4,238533,488.39840294579182,2.6201825323959368E-3,1.2796929642486359,625]
[null,"Grenada",{"$error":"#N/A"},{"$error":"#N/A"},1,344,18.547236990991408,"","",31.375015727671261]
[null,"Guatemala","Guatemala",612,3,108889,329.98333291243665,"",1.8546391255536485,612]
[null,"Guinea","Guinea",{"$error":"#N/A"},1,245857,495.83969183598037,"","",838.77604719849899]
[null,"Guinea-Bissau","Guinea-Bissau",{"$error":"#N/A"},1,36125,190.06577808748213,"","",321.52049276575667]
[null,"Guyana","Guyana",{"$error":"#N/A"},1,214969,463.6474954100367,"","",784.31884315981392]
[null,"Haiti","Haiti",{"$error":"#N/A"},1,27750,166.58331248957683,"","",281.79690871835209]
[null,"Honduras","Honduras",3500,9,112492,335.39827071706856,"",10.435354936437612,3500]
[null,"India","India",729,6,3287263,1813.0810792681059,2.2176503674941738E-4,0.40207799217356488,729]
[null,"Indonesia","Indonesia",145,3,1910931,1382.3642790523777,7.5879244200863344E-5,0.10489275670476578,145]
[null,"Jamaica","Jamaica",25,3,10991,104.83797022071727,"",0.2384632204092377,25]
[null,"Kazakhstan",null,{"$error":"#N/A"},1,2724900,1650.72711251739,null,"",2792.4153415671676]
[null,"Kenya","Kenya",496,5,580367,761.81821978737162,8.5463163825648251E-4,0.65107395323051842,496]
[null,"Kiribati",{"$error":"#N/A"},{"$error":"#N/A"},1,811,28.478061731796284,"","",48.174271734527565]
[null,"Kyrgyzstan",null,{"$error":"#N/A"},1,199951,447.15880847859859,null,"",756.42612727691494]
[null,"Lao People's Democratic Republic","Lao PDR",{"$error":"#N/A"},1,236800,486.62100242385759,"","",823.1814588814168]
[null,"Lebanon",null,{"$error":"#N/A"},1,10452,102.23502335305646,null,"",172.9435746779406]
[null,"Lesotho","Lesotho",{"$error":"#N/A"},1,30355,174.22686360030707,"","",294.72694980376565]
[null,"Liberia","Liberia",750,10,111369,333.71994246673364,"",2.2473934115422622,750]
[null,"Madagascar","Madagascar",{"$error":"#N/A"},1,587041,766.18600874722324,"","",1296.1013053557167]
[null,"Malawi","Malawi",1250,25,118484,344.2150490609032,"",3.6314507555967812,1250]
[null,"Malaysia","Malaysia",{"$error":"#N/A"},1,330803,575.15476178155734,"","",972.94759890684884]
[null,"Maldives","Maldives",75,10,300,17.320508075688775,"",4.3301270189221928,75]
[null,"Mali","Mali",{"$error":"#N/A"},1,1240192,1113.6390797740532,"","",1883.8624674840364]
[null,"Marshall Islands",{"$error":"#N/A"},{"$error":"#N/A"},1,181,13.45362404707371,"","",22.758520111439573]
[null,"Mauritania","Mauritania",3500,6,1030700,{"$f":"SQRT(F70)","v":1015.2339631828714},3.3957504608518483E-3,{"$f":"IFERROR(D70/G70,\"\")","v":3.4474811983506841},{"$f":"IF(ISNA(D70),G70*AVERAGE($I$5:$I$121),D70)","v":3500}]
[null,"Mauritius","Mauritius",25,2,2040,45.166359162544857,"",0.55350930346255955,25]
[null,"Mexico","Mexico",1690,5,1964375,1401.561629040978,8.6032453070314981E-4,1.2057978507562215,1690]
[null,"Micronesia (Federated States of)",{"$error":"#N/A"},{"$error":"#N/A"},1,702,26.49528259898354,"","",44.820148071433479]
[null,"Mongolia","Mongolia",1181,16,1564110,1250.6438341910139,7.550619841315509E-4,0.94431361488615706,1181]
[null,"Morocco",null,{"$error":"#N/A"},1,446550,668.24396742507145,null,"",1130.4198570421324]
[null,"Mozambique","Mozambique",{"$error":"#N/A"},1,801590,895.31558681841341,"","",1514.540447792888]
[null,"Myanmar","Myanmar",{"$error":"#N/A"},1,676578,822.54361586483662,"","",1391.4373821281158]
[null,"Namibia","Namibia",1558,5,825615,908.63358951779901,1.887078117524512E-3,1.7146625636267883,1558]
[null,"Nepal","Nepal",{"$error":"#N/A"},1,147181,383.64175997928066,"","",648.9789427388996]
[null,"Nicaragua","Nicaragua",{"$error":"#N/A"},1,130373,361.0720149776219,"","",610.79934193148461]
[null,"Niger","Niger",{"$error":"#N/A"},1,1267000,1125.6109452204166,"","",1904.1144040313322]
[null,"Nigeria","Nigeria",447,4,923768,961.12850337506904,4.8388772938659925E-4,0.46507828914690247,447]
[null,"Pakistan",null,{"$error":"#N/A"},1,907132,952.43477466963589,null,"",1611.1648354606773]
[null,"Panama","Panama",300,10,75417,274.62155778452643,"",1.092412418093506,300]
[null,"Papua New Guinea","Papua New Guinea",{"$error":"#N/A"},1,462840,680.32345248418414,"","",1150.8538458834846]
[null,"Paraguay","Paraguay",{"$error":"#N/A"},1,406752,637.77111881928306,"","",1078.8711490195878]
[null,"Peru","Peru",25,2,1285216,1133.6736743878284,1.9451983168588003E-5,2.2052201232863354E-2,25]
[null,"Philippines","Philippines",241,10,300000,547.72255750516615,8.0333333333333331E-4,0.4400037878624834,241]
[null,"Rwanda","Rwanda",1006,3,26338,162.28986413205232,"",6.1987851513723378,1006]
[null,"Saint Kitts and Nevis",{"$error":"#N/A"},{"$error":"#N/A"},1,261,16.15549442140351,"","",27.329078277591265]
[null,"Saint Lucia",{"$error":"#N/A"},{"$error":"#N/A"},1,616,24.819347291981714,"","",41.985089855415552]
[null,"Samoa",{"$error":"#N/A"},{"$error":"#N/A"},1,2842,53.310411741047361,"","",90.181357343759544]
[null,"Sao Tome and Principe","Sao Tome and Principe",{"$error":"#N/A"},1,964,31.048349392520048,"","",52.522240966765047]
[null,"Senegal","Senegal",1095,6,196722,443.53353875439905,"",2.4688099192569561,1095]
[null,"Seychelles",{"$error":"#N/A"},{"$error":"#N/A"},1,452,21.2602916254693,"","",35.964493495606185]
[null,"Sierra Leone","Sierra Leone",{"$error":"#N/A"},1,71740,267.84323773431356,"","",453.09098064289532]
[null,"Solomon Islands","Solomon Islands",{"$error":"#N/A"},1,28896,169.98823488700623,"","",287.55676900496707]
[null,"Somalia","Somalia",{"$error":"#N/A"},1,637657,798.53428229475537,"","",1350.8225337419067]
[null,"South Africa","South Africa",1281,6,1221037,1105.0054298509126,1.0491082579807164E-3,1.1592703215701234,1281]
[null,"South Sudan",{"$error":"#N/A"},{"$error":"#N/A"},1,644329,802.70106515439477,"","",1357.8711781204993]
[null,"Sri Lanka","Sri Lanka",95,4,65610,256.14449047363871,"",0.37088441693332846,95]
[null,"Sudan","Sudan",1872,18,1861484,1364.3621220189309,1.0056492561848504E-3,1.3720697531751218,1872]
[null,"Tajikistan",null,{"$error":"#N/A"},1,143100,378.28560638755476,null,"",639.91832614884652]
[null,"Thailand","Thailand",25,2,513120,716.32394906215438,4.8721546616775806E-5,3.4900410676944695E-2,25]
[null,"Timor-Leste","Timor-Leste",{"$error":"#N/A"},1,14919,122.14335839496145,"","",206.62106126825617]
[null,"Togo","Togo",286,5,56785,238.29603437741048,"",1.2001878283338805,286]
[null,"Tonga",{"$error":"#N/A"},{"$error":"#N/A"},1,747,27.331300737432898,"","",46.234379326213222]
[null,"Trinidad and Tobago","Trinidad and Tobago",{"$error":"#N/A"},1,5130,71.62401831787993,"","",121.16115744323474]
[null,"Turkey",null,{"$error":"#N/A"},1,783562,885.19037500415698,null,"",1497.4123612712892]
[null,"Tuvalu",{"$error":"#N/A"},{"$error":"#N/A"},1,26,5.0990195135927845,"","",8.6256415180536674]
[null,"Uganda","Uganda",2483,8,241550,491.47736468732717,1.0279445249430759E-2,5.0521146616378942,2483]
[null,"Ukraine",null,{"$error":"#N/A"},1,603500,776.85262437607821,null,"",1314.1452454465723]
[null,"United Republic of Tanzania","Tanzania",234,6,945087,972.15585170280178,2.4759625304337059E-4,0.24070214625580041,234]
[null,"Uruguay","Uruguay",512,3,176215,419.77970413063088,"",1.2196873621137985,512]
[null,"Uzbekistan",null,{"$error":"#N/A"},1,447400,668.87966032762574,null,"",1131.4952126234139]
[null,"Vanuatu","Vanuatu",{"$error":"#N/A"},1,12189,110.40380428228005,"","",186.76210895637661]
[null,"Venezuela (Bolivarian Republic of)","Venezuela, RB",{"$error":"#N/A"},1,916445,957.31133911596385,"","",1619.4141658744127]
[null,"Viet Nam","Vietnam",249,3,331212,575.51020842379501,7.5178435563928844E-4,0.43265957120371534,249]
[null,"Yemen",null,{"$error":"#N/A"},1,527968,726.61406537445998,null,"",1229.160318603997]
[null,"Zambia","Zambia",1432,13,752612,867.53213196976174,1.9027068396464579E-3,1.6506593211119389,1432]
[null,"Zimbabwe","Zimbabwe",2381,9,390757,625.105591080419,6.0933009517423874E-3,3.8089564930698043,2381]

{"sheet":"BEIS HGV DATA","index":31,"n_rows":45,"n_cols":19,"rows_kept":45,"cut":false,"hidden":true,"merged":[[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],[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]]}
[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)"]

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[]
[null,"Emissions from FAOSTAT",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,{"$f":"IF(ROUND(SUM(Emissions_TARGET_Countries[[Manure applied to Soils - Emissions (CH4)]:[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)]]),0)=ROUND(SUM(AR5:AT121,AV5:AV121,AX5:AX121),0),\"OK\",\"ERROR\")","v":"OK"},null,null,null,null,null,null,null,null,null,null,null,null,"kilotonnes"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Manure applied to Soils",null,null,null,null,"Crop Residues",null,null,null,null,"Burning - Crop residues",null,null,null,null,"Synthetic Fertilizers (in-use) \n[superseded if user inputs \"Synthetic nitrogen fertiliser applied per year\"]",null,null,null,null,"Synthetic Fertilizers (in-use) \n[superseded if user inputs \"Synthetic nitrogen fertiliser applied per year\"]",null,null,null,null,null,null,null,null,"kilotonnes",null,null,null,null,null,null,null,null,null,null,null,"Rice Cultivation"]
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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":7.1964333333333341},{"$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":4.2935077668529154},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0.37919999999999998},{"$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":0.57123791674022306},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":10.617800000000001},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":6.5544019336852347E-2},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":2.1233333333333333E-2},{"$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":1.3734000000000002},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":0.19617851378182394},{"$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":5.0112333333333332},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":6.9066666666666665E-2},{"$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":0.49974876491128534},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":1.9348333333333334},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":1.4399168024271743E-2},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":3.1999999999999997E-3},{"$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":3.5033333333333333E-2},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":3.876226303754518E-2},{"$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":32.516666666666673},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":359.11280436261222},{"$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":910.46720000000005},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":9.4765948655046277E-3},{"$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":95164.886122758908},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":0.99052340513449533},{"$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},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":1843.7101},{"$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":1843.7101},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":21.1098},{"$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]],userdefinedNorYield[Country],0))","v":85.283169268032395},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":22600.039856028583},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":22600.039856028583},null,null,null,null,"Mexico",{"$f":"INDEX(Countries[Region],MATCH(Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},{"$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":21.1098},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":133.24582624916445},{"$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":591.07433333333336},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":1.6463902841064387E-2},{"$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":35310.153856028584},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":0.98353609623046223},{"$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":35901.228222695252},null,null,null,null,"Mexico",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":4.7920666666666669},{"$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)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":2.3142999999999998},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":2.3142999999999998},{"$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},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":1E-4},{"$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},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":2.3266666666666668E-2},{"$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":2.3266666666666668E-2},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":2.9999999999999997E-4},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - 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[null,null,null,"Albania","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,6.0589000000000004,null,null,null,null,"Saint Kitts and Nevis",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$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":3.4333333333333334E-3},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - 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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},{"$f":"INDEX(userdefinedNorYield[Synthetic Fertilizers - Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":2.7333333333333333E-4},{"$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},{"$f":"INDEX(userdefinedNorYield[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":7.2433333333333336E-2},{"$f":"INDEX(userdefinedNorYield[Synthetic Fertilizers - Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":7.2433333333333336E-2},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":7.9699108621932751E-4},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":0.21120263784812179},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":0.21120263784812179},null,null,null,null,"Saint Kitts and Nevis",{"$f":"INDEX(Countries[Region],MATCH(Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0},{"$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":4.5036577528859943E-3},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":0},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":0},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":1.1816026378481219},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":1},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":1.1816026378481219},null,null,null,null,"Saint Kitts and Nevis",{"$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 (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,1.4866999999999999,null,null,null,null,"Saint Lucia",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$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":7.8666666666666659E-3},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$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":2.0807333333333333},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":2.0807333333333333},{"$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 - 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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},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":0},{"$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":3.308010234728484E-2},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":0},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":0},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - 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Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CH4)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CH4)])","v":8.666666666666668E-3},{"$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 - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":0.72623093185048027},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)])","v":0.24273333333333333},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":1.2596813770113676E-3},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)])","v":192.4515302737106},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":0.99874049160862122},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (CO2eq) (AR5)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)])","v":192.69423027371062},null,null,null,null,"Trinidad and Tobago",{"$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":0.17313333333333333},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - 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Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":3.6833333333333336E-2},{"$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":0.11206666666666666},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":1.1359297764292882E-2},{"$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)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":0},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":55.172699999999999},{"$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},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":55.172699999999999}]
[null,null,null,"Algeria","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2018,143.93190000000001,null,null,null,null,"Zimbabwe",{"$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},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0.31623333333333337},{"$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},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":83.801500000000004},{"$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":83.801500000000004},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$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":0.37393333333333328},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$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":99.091133333333346},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Crop Residues - Emissions (CO2eq) (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":99.091133333333346},{"$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":2.9622333333333337},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (N2O)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":7.6799999999999993E-2},{"$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":82.941366666666667},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":20.351366666666667},{"$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":103.29270000000001},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(userdefinedNorYield[Synthetic Fertilizers - Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":1.3374296855345911},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_TARGET_Countries[[#Headers],[Synthetic Fertilizers - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_TARGET_Countries[[#This Row],[Country]]),0)","v":0},{"$f":"INDEX(userdefinedNorYield[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":354.41886666666664},{"$f":"INDEX(userdefinedNorYield[Synthetic Fertilizers - Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":354.41886666666664},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (N2O)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":3.7622937974216981},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":997.00785631675001},{"$f":"INDEX(Emissions_Fertiliser_Manufacturing[Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)],MATCH(Emissions_TARGET_Countries[[#This Row],[Country]],userdefinedNorYield[Country],0))","v":997.00785631675001},null,null,null,null,"Zimbabwe",{"$f":"INDEX(Countries[Region],MATCH(Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},{"$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":2.9622333333333337},{"$f":"SUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Manure applied to Soils - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Crop Residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Burning - Crop residues - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizers - Emissions (N2O)])+\nSUMIF(Emissions_TARGET_Countries[Country],Emissions_TARGET_Countries_TOTAL[[#This Row],[Country]],Emissions_TARGET_Countries[Synthetic Fertilizer manufacturing -  Emissions (N2O)])","v":5.866690149622956},{"$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":82.941366666666667},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from CH4 (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":5.0647750391637311E-2},{"$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":1554.6707229834167},{"$f":"Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) from N2O (AR5)]]/Emissions_TARGET_Countries_TOTAL[[#This Row],[Emissions (CO2eq) (AR5)]]","v":0.94935226996320377},{"$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":1637.6120563167501},null,null,null,null,"Zimbabwe",{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CH4)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":1.4696},{"$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},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],Emissions_RICE[[#Headers],[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)]],Emissions_ALL_Countries[Area],Emissions_RICE[[#This Row],[Country]]),0)","v":41.148266666666665},{"$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":41.148266666666665}]
[null,null,null,"Algeria","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2019,0.54720000000000002]
[null,null,null,"Algeria","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2019,145.0095]
[null,null,null,"Algeria","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2019,145.0095]
[null,null,null,"Algeria","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,1.2177]
[null,null,null,"Algeria","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,322.68819999999999]
[null,null,null,"Algeria","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2017,322.68819999999999]
[null,null,null,"Algeria","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2018,1.7724]
[null,null,null,"Algeria","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,469.69130000000001]
[null,null,null,"Algeria","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,469.69130000000001]
[null,null,null,"Algeria","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2019,1.669]
[null,null,null,"Algeria","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2019,442.28640000000001]
[null,null,null,"Algeria","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2019,442.28640000000001]
[null,null,null,"Algeria","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2017,2.2936000000000001]
[null,null,null,"Algeria","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,5.9499999999999997E-2]
[null,null,null,"Algeria","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2017,64.221000000000004]
[null,null,null,"Algeria","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2017,15.757899999999999]
[null,null,null,"Algeria","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,79.978899999999996]
[null,null,null,"Algeria","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2018,2.2602000000000002]
[null,null,null,"Algeria","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,5.8599999999999999E-2]
[null,null,null,"Algeria","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,63.286099999999998]
[null,null,null,"Algeria","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,15.528499999999999]
[null,null,null,"Algeria","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,78.814700000000002]
[null,null,null,"Algeria","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2019,2.1373000000000002]
[null,null,null,"Algeria","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,5.5399999999999998E-2]
[null,null,null,"Algeria","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2019,59.844299999999997]
[null,null,null,"Algeria","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2019,14.683999999999999]
[null,null,null,"Algeria","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2019,74.528300000000002]
[null,null,null,"American Samoa","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2017,1E-4]
[null,null,null,"American Samoa","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,0]
[null,null,null,"American Samoa","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2017,1.5E-3]
[null,null,null,"American Samoa","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2017,4.0000000000000002E-4]
[null,null,null,"American Samoa","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,1.9E-3]
[null,null,null,"American Samoa","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2018,1E-4]
[null,null,null,"American Samoa","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,0]
[null,null,null,"American Samoa","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,1.5E-3]
[null,null,null,"American Samoa","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,4.0000000000000002E-4]
[null,null,null,"American Samoa","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,1.9E-3]
[null,null,null,"American Samoa","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2019,1E-4]
[null,null,null,"American Samoa","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,0]
[null,null,null,"American Samoa","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2019,1.6000000000000001E-3]
[null,null,null,"American Samoa","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2019,4.0000000000000002E-4]
[null,null,null,"American Samoa","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2019,2E-3]
[null,null,null,"Angola","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2017,3.0554000000000001]
[null,null,null,"Angola","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2017,85.5501]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2017,85.5501]
[null,null,null,"Angola","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2018,2.3567999999999998]
[null,null,null,"Angola","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2018,65.9893]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2018,65.9893]
[null,null,null,"Angola","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2019,2.3708]
[null,null,null,"Angola","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2019,66.381299999999996]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2019,66.381299999999996]
[null,null,null,"Angola","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2017,0.55620000000000003]
[null,null,null,"Angola","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2017,147.40360000000001]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,147.40360000000001]
[null,null,null,"Angola","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,0.45689999999999997]
[null,null,null,"Angola","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2018,121.0715]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2018,121.0715]
[null,null,null,"Angola","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2019,0.4819]
[null,null,null,"Angola","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2019,127.70489999999999]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,127.70489999999999]
[null,null,null,"Angola","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2017,1.2818000000000001]
[null,null,null,"Angola","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2017,339.6789]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,339.6789]
[null,null,null,"Angola","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2018,1.3484]
[null,null,null,"Angola","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2018,357.32400000000001]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2018,357.32400000000001]
[null,null,null,"Angola","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2019,1.4242999999999999]
[null,null,null,"Angola","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2019,377.4427]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2019,377.4427]
[null,null,null,"Angola","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,0.80869999999999997]
[null,null,null,"Angola","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,214.30340000000001]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2017,214.30340000000001]
[null,null,null,"Angola","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2018,0.87150000000000005]
[null,null,null,"Angola","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,230.95529999999999]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,230.95529999999999]
[null,null,null,"Angola","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2019,0.88549999999999995]
[null,null,null,"Angola","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2019,234.64949999999999]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2019,234.64949999999999]
[null,null,null,"Angola","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2017,7.2386999999999997]
[null,null,null,"Angola","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,0.18770000000000001]
[null,null,null,"Angola","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2017,202.68279999999999]
[null,null,null,"Angola","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2017,49.732300000000002]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,252.4151]
[null,null,null,"Angola","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2018,7.1706000000000003]
[null,null,null,"Angola","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,0.18590000000000001]
[null,null,null,"Angola","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,200.77789999999999]
[null,null,null,"Angola","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,49.264899999999997]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,250.0428]
[null,null,null,"Angola","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2019,7.18]
[null,null,null,"Angola","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,0.18609999999999999]
[null,null,null,"Angola","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2019,201.03909999999999]
[null,null,null,"Angola","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2019,49.329000000000001]
[null,null,null,"Angola","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2019,250.3682]
[null,null,null,"Antigua and Barbuda","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2017,2.0000000000000001E-4]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2017,4.9599999999999998E-2]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,4.9599999999999998E-2]
[null,null,null,"Antigua and Barbuda","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,2.0000000000000001E-4]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2018,4.7399999999999998E-2]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2018,4.7399999999999998E-2]
[null,null,null,"Antigua and Barbuda","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2019,5.0000000000000001E-4]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2019,0.14480000000000001]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,0.14480000000000001]
[null,null,null,"Antigua and Barbuda","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2017,5.3E-3]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2017,1.3980999999999999]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,1.3980999999999999]
[null,null,null,"Antigua and Barbuda","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2018,4.8999999999999998E-3]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2018,1.2867]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2018,1.2867]
[null,null,null,"Antigua and Barbuda","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2019,4.5999999999999999E-3]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2019,1.2102999999999999]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2019,1.2102999999999999]
[null,null,null,"Antigua and Barbuda","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,0]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,4.0000000000000001E-3]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2017,4.0000000000000001E-3]
[null,null,null,"Antigua and Barbuda","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2018,0]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,4.1000000000000003E-3]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,4.1000000000000003E-3]
[null,null,null,"Antigua and Barbuda","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2019,0]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2019,4.1000000000000003E-3]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2019,4.1000000000000003E-3]
[null,null,null,"Antigua and Barbuda","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2017,1E-4]
[null,null,null,"Antigua and Barbuda","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,0]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2017,3.7000000000000002E-3]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2017,8.9999999999999998E-4]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,4.5999999999999999E-3]
[null,null,null,"Antigua and Barbuda","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2018,1E-4]
[null,null,null,"Antigua and Barbuda","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,0]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,3.8E-3]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,8.9999999999999998E-4]
[null,null,null,"Antigua and Barbuda","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2019,3.8999999999999998E-3]
[null,null,null,"Argentina","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,183.16470000000001]
[null,null,null,"Australia","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2017,725.03930000000003]
[null,null,null,"Australia","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,12.3736]
[null,null,null,"Australia","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,0.33189999999999997]
[null,null,null,"Austria","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2019,31.260200000000001]
[null,null,null,"Azerbaijan","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,26.070399999999999]
[null,null,null,"Bahamas","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,2.6200000000000001E-2]
[null,null,null,"Bahrain","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2019,6.3144999999999998]
[null,null,null,"Bangladesh","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2018,13.5602]
[null,null,null,"Bangladesh","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,652.72450000000003]
[null,null,null,"Barbados","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2017,6.7999999999999996E-3]
[null,null,null,"Belarus","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,3.27E-2]
[null,null,null,"Belgium","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,2.4535]
[null,null,null,"Belize","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2017,6.3026]
[null,null,null,"Belize","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2019,5.4103000000000003]
[null,null,null,"Benin","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,22.864000000000001]
[null,null,null,"Bermuda","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,0.14499999999999999]
[null,null,null,"Bhutan","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,2.2275999999999998]
[null,null,null,"Bolivia (Plurinational State of)","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2018,78.445099999999996]
[null,null,null,"Bosnia and Herzegovina","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2018,185.09549999999999]
[null,null,null,"Bosnia and Herzegovina","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2019,16.5886]
[null,null,null,"Brazil","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2018,3405.2253000000001]
[null,null,null,"Brazil","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,9511.4190999999992]
[null,null,null,"Brazil","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2019,69.796499999999995]
[null,null,null,"Bulgaria","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2018,86.24]
[null,null,null,"Bulgaria","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2019,92.668800000000005]
[null,null,null,"Burkina Faso","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2017,1.3285]
[null,null,null,"Burkina Faso","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2019,1.3258000000000001]
[null,null,null,"Burundi","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,17.073899999999998]
[null,null,null,"Cabo Verde","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2019,6.8834999999999997]
[null,null,null,"Cambodia","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2017,761.60109999999997]
[null,null,null,"Cambodia","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2019,36.000500000000002]
[null,null,null,"Cameroon","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2019,125.20740000000001]
[null,null,null,"Canada","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2018,5.4425999999999997]
[null,null,null,"Canada","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,0.37190000000000001]
[null,null,null,"Central African Republic","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2019,0.44040000000000001]
[null,null,null,"Chad","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2017,33.567799999999998]
[null,null,null,"Chile","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,190.02709999999999]
[null,null,null,"Chile","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,15.109500000000001]
[null,null,null,"China, Hong Kong SAR","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2017,0]
[null,null,null,"China, Hong Kong SAR","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,47.372999999999998]
[null,null,null,"China, Macao SAR","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2017,0]
[null,null,null,"China, mainland","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2017,188.98]
[null,null,null,"China, Taiwan Province of","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,112.9204]
[null,null,null,"Colombia","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2019,110.05589999999999]
[null,null,null,"Colombia","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2018,5.7884000000000002]
[null,null,null,"Comoros","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2017,4.1605999999999996]
[null,null,null,"Congo","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2018,3.9710000000000001]
[null,null,null,"Cook Islands","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,2.0000000000000001E-4]
[null,null,null,"Costa Rica","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2017,246.9716]
[null,null,null,"Cote d'Ivoire","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2017,0.68769999999999998]
[null,null,null,"Cote d'Ivoire","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2019,0.30530000000000002]
[null,null,null,"Cote d'Ivoire","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2019,88.7941]
[null,null,null,"Cuba","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2019,849.87170000000003]
[null,null,null,"Cuba","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2019,0.19600000000000001]
[null,null,null,"Cyprus","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,7.5700000000000003E-2]
[null,null,null,"Czechia","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2018,1941.009]
[null,null,null,"Democratic People's Republic of Korea","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,283.7928]
[null,null,null,"Democratic People's Republic of Korea","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,5.7299999999999997E-2]
[null,null,null,"Democratic Republic of the Congo","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2019,10.244400000000001]
[null,null,null,"Denmark","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2018,1.6236999999999999]
[null,null,null,"Djibouti","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,8.9999999999999998E-4]
[null,null,null,"Dominica","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2018,0]
[null,null,null,"Dominica","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,2.6100000000000002E-2]
[null,null,null,"Dominican Republic","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,3.9182999999999999]
[null,null,null,"Ecuador","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2017,484.37939999999998]
[null,null,null,"Egypt","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2017,0.70889999999999997]
[null,null,null,"El Salvador","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2017,332.45749999999998]
[null,null,null,"El Salvador","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,2.2700000000000001E-2]
[null,null,null,"Equatorial Guinea","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2019,3.3999999999999998E-3]
[null,null,null,"Estonia","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2019,74.057100000000005]
[null,null,null,"Estonia","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,6.3929]
[null,null,null,"Eswatini","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2019,8.8960000000000008]
[null,null,null,"Ethiopia","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2018,639.94719999999995]
[null,null,null,"Fiji","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2017,11.8658]
[null,null,null,"Fiji","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2017,0.70230000000000004]
[null,null,null,"Fiji","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,0.47760000000000002]
[null,null,null,"France","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2017,241.9785]
[null,null,null,"France","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,14.5563]
[null,null,null,"French Guyana","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2019,0.26779999999999998]
[null,null,null,"French Guyana","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,1.9599999999999999E-2]
[null,null,null,"Gabon","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,32.414200000000001]
[null,null,null,"Gabon","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,2.9956999999999998]
[null,null,null,"Gambia","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2019,458.64]
[null,null,null,"Georgia","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2019,0.91679999999999995]
[null,null,null,"Germany","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2018,4354.7578000000003]
[null,null,null,"Germany","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,153.0333]
[null,null,null,"Ghana","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,1.1493]
[null,null,null,"Greece","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,1002.7057]
[null,null,null,"Greece","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,2.3E-2]
[null,null,null,"Guadeloupe","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2018,7.0000000000000001E-3]
[null,null,null,"Guam","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,2.8E-3]
[null,null,null,"Guatemala","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2018,453.50459999999998]
[null,null,null,"Guatemala","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,103.43040000000001]
[null,null,null,"Guinea","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,80.849400000000003]
[null,null,null,"Guinea-Bissau","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,19.888000000000002]
[null,null,null,"Guyana","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2018,44.464799999999997]
[null,null,null,"Haiti","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2017,212.01560000000001]
[null,null,null,"Haiti","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2019,139.74510000000001]
[null,null,null,"Honduras","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,51.696399999999997]
[null,null,null,"Honduras","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2019,35.468600000000002]
[null,null,null,"Hungary","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2019,26.6249]
[null,null,null,"Iceland","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2019,2.2000000000000001E-3]
[null,null,null,"India","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,3.3685999999999998]
[null,null,null,"Indonesia","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2018,6340.7178999999996]
[null,null,null,"Iran (Islamic Republic of)","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,11.7623]
[null,null,null,"Iran (Islamic Republic of)","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2019,1644.5405000000001]
[null,null,null,"Iraq","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2017,998.35699999999997]
[null,null,null,"Ireland","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2017,5.952]
[null,null,null,"Ireland","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,0.43020000000000003]
[null,null,null,"Italy","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2017,3304.0848999999998]
[null,null,null,"Italy","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,0.1048]
[null,null,null,"Jamaica","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2019,37.946899999999999]
[null,null,null,"Jamaica","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,1.399]
[null,null,null,"Japan","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2017,17.747299999999999]
[null,null,null,"Jordan","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2018,20.0504]
[null,null,null,"Jordan","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2017,0.3422]
[null,null,null,"Kazakhstan","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,0.34710000000000002]
[null,null,null,"Kenya","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,462.33249999999998]
[null,null,null,"Kuwait","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2017,11.035399999999999]
[null,null,null,"Kuwait","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2017,1.4E-3]
[null,null,null,"Kyrgyzstan","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2019,124.6297]
[null,null,null,"Kyrgyzstan","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2019,19.6112]
[null,null,null,"Latvia","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,0.66390000000000005]
[null,null,null,"Latvia","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2017,175.9229]
[null,null,null,"Lebanon","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2019,48.636600000000001]
[null,null,null,"Lesotho","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,9.7000000000000003E-3]
[null,null,null,"Liberia","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2019,14.0687]
[null,null,null,"Libya","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2019,23.925000000000001]
[null,null,null,"Libya","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2019,1.3717999999999999]
[null,null,null,"Luxembourg","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2019,0.28000000000000003]
[null,null,null,"Luxembourg","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,0.54179999999999995]
[null,null,null,"Madagascar","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2017,11.6836]
[null,null,null,"Malawi","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2018,486.02409999999998]
[null,null,null,"Malaysia","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2018,2109.8386]
[null,null,null,"Malaysia","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,171.3323]
[null,null,null,"Maldives","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,3.0999999999999999E-3]
[null,null,null,"Mali","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2017,196.5779]
[null,null,null,"Mali","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,169.3186]
[null,null,null,"Martinique","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,1.5387]
[null,null,null,"Martinique","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,5.4300000000000001E-2]
[null,null,null,"Mauritius","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,0.15429999999999999]
[null,null,null,"Mauritius","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2018,8.3900000000000002E-2]
[null,null,null,"Mexico","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2017,133.59049999999999]
[null,null,null,"Micronesia (Federated States of)","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2017,2.3E-2]
[null,null,null,"Mongolia","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,182.3689]
[null,null,null,"Mongolia","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,9.3108000000000004]
[null,null,null,"Montenegro","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2019,6.6637000000000004]
[null,null,null,"Montserrat","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,0]
[null,null,null,"Morocco","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2017,4.0385]
[null,null,null,"Mozambique","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2019,0.47410000000000002]
[null,null,null,"Mozambique","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2018,9.7378999999999998]
[null,null,null,"Myanmar","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,419.27030000000002]
[null,null,null,"Namibia","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2018,112.3211]
[null,null,null,"Namibia","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2017,0.56830000000000003]
[null,null,null,"Nepal","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2017,604.87480000000005]
[null,null,null,"Netherlands","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,4.1852999999999998]
[null,null,null,"Netherlands","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2017,4.1609999999999996]
[null,null,null,"New Caledonia","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,3.1009000000000002]
[null,null,null,"New Zealand","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2018,0.21740000000000001]
[null,null,null,"New Zealand","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,3.1928000000000001]
[null,null,null,"Niger","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2017,65.315399999999997]
[null,null,null,"Niger","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2017,0.67349999999999999]
[null,null,null,"Nigeria","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,2185.4850000000001]
[null,null,null,"Nigeria","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,765.40300000000002]
[null,null,null,"North Macedonia","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2019,0.13469999999999999]
[null,null,null,"North Macedonia","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2019,4.8479000000000001]
[null,null,null,"Norway","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,0.43519999999999998]
[null,null,null,"Oman","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2017,2.75E-2]
[null,null,null,"Pakistan","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2018,393.4042]
[null,null,null,"Palestine","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,3.8725000000000001]
[null,null,null,"Palestine","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2019,1.6500000000000001E-2]
[null,null,null,"Papua New Guinea","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2018,2.6770999999999998]
[null,null,null,"Papua New Guinea","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,90.79]
[null,null,null,"Papua New Guinea","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,0.6573]
[null,null,null,"Paraguay","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,25.8142]
[null,null,null,"Peru","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,61.161099999999998]
[null,null,null,"Philippines","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2019,43574.321100000001]
[null,null,null,"Philippines","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2019,5.8795000000000002]
[null,null,null,"Poland","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2018,4.3532000000000002]
[null,null,null,"Portugal","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,57.749699999999997]
[null,null,null,"Puerto Rico","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2018,41.953400000000002]
[null,null,null,"Puerto Rico","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2017,4.1999999999999997E-3]
[null,null,null,"Republic of Korea","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2019,153.26089999999999]
[null,null,null,"Republic of Korea","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2018,2.8647999999999998]
[null,null,null,"Republic of Korea","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,2.93E-2]
[null,null,null,"Réunion","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,14.8658]
[null,null,null,"Romania","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,1899.7973999999999]
[null,null,null,"Romania","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,0.22600000000000001]
[null,null,null,"Russian Federation","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2017,1455.4882]
[null,null,null,"Rwanda","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2017,2.2107999999999999]
[null,null,null,"Rwanda","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2019,125.5273]
[null,null,null,"Saint Lucia","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2017,8.0999999999999996E-3]
[null,null,null,"Saint Vincent and the Grenadines","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,3.9899999999999998E-2]
[null,null,null,"Samoa","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2019,0]
[null,null,null,"Sao Tome and Principe","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,4.58E-2]
[null,null,null,"Saudi Arabia","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2019,0]
[null,null,null,"Senegal","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2018,634.32460000000003]
[null,null,null,"Senegal","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,182.95240000000001]
[null,null,null,"Serbia","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2019,3.2212999999999998]
[null,null,null,"Seychelles","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,0.27850000000000003]
[null,null,null,"Singapore","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,0]
[null,null,null,"Slovakia","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2017,2.5514999999999999]
[null,null,null,"Slovenia","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,149.84889999999999]
[null,null,null,"Slovenia","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,3.6444999999999999]
[null,null,null,"Somalia","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2017,3.3163]
[null,null,null,"Somalia","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2019,26.4269]
[null,null,null,"Somalia","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2019,1.9610000000000001]
[null,null,null,"South Africa","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2019,204.96680000000001]
[null,null,null,"South Sudan","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2018,0.2152]
[null,null,null,"Spain","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,115.9218]
[null,null,null,"Sri Lanka","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2017,1.3489]
[null,null,null,"Sudan","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2018,899.74969999999996]
[null,null,null,"Sudan","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,593.0104]
[null,null,null,"Suriname","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2017,2.6187999999999998]
[null,null,null,"Sweden","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,1095.0364999999999]
[null,null,null,"Switzerland","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2017,436.89080000000001]
[null,null,null,"Switzerland","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,4.6178999999999997]
[null,null,null,"Tajikistan","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2017,77.096199999999996]
[null,null,null,"Tajikistan","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,0.34949999999999998]
[null,null,null,"Tajikistan","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,8.6999999999999994E-3]
[null,null,null,"Thailand","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2018,21.933800000000002]
[null,null,null,"Timor-Leste","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2019,36.207099999999997]
[null,null,null,"Togo","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2019,0.44850000000000001]
[null,null,null,"Togo","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,5.1900000000000002E-2]
[null,null,null,"Trinidad and Tobago","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2018,0.1933]
[null,null,null,"Trinidad and Tobago","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2017,7.6E-3]
[null,null,null,"Tunisia","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,93.173199999999994]
[null,null,null,"Turkey","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2017,476.55900000000003]
[null,null,null,"Turkmenistan","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,0.39389999999999997]
[null,null,null,"Tuvalu","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,0.64859999999999995]
[null,null,null,"Uganda","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2019,151.70009999999999]
[null,null,null,"Ukraine","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2019,2.94]
[null,null,null,"Ukraine","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,4161.1423999999997]
[null,null,null,"United Arab Emirates","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,5.2400000000000002E-2]
[null,null,null,"United Kingdom of Great Britain and Northern Ireland","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2019,11.1867]
[null,null,null,"United Republic of Tanzania","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2017,1.4645999999999999]
[null,null,null,"United Republic of Tanzania","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,0.31269999999999998]
[null,null,null,"United States of America","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,242.45429999999999]
[null,null,null,"Uruguay","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,857.93880000000001]
[null,null,null,"Uruguay","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,1.7299999999999999E-2]
[null,null,null,"Uzbekistan","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2017,1.7279]
[null,null,null,"Vanuatu","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,0.1124]
[null,null,null,"Venezuela (Bolivarian Republic of)","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,0.41299999999999998]
[null,null,null,"Venezuela (Bolivarian Republic of)","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,4.0500000000000001E-2]
[null,null,null,"Viet Nam","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2018,14.503399999999999]
[null,null,null,"Western Sahara","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,0.20430000000000001]
[null,null,null,"Zambia","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2017,2.0703]
[null,null,null,"Zambia","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2019,148.96809999999999]
[null,null,null,"Zambia","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,140.28200000000001]
[null,null,null,"Zambia","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2018,3.0792000000000002]
[null,null,null,"Zambia","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,7.9799999999999996E-2]
[null,null,null,"Zambia","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,86.217799999999997]
[null,null,null,"Zambia","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,21.1553]
[null,null,null,"Zambia","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,107.37309999999999]
[null,null,null,"Zambia","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2019,2.4184000000000001]
[null,null,null,"Zambia","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,6.2700000000000006E-2]
[null,null,null,"Zambia","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2019,67.715699999999998]
[null,null,null,"Zambia","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2019,16.615400000000001]
[null,null,null,"Zambia","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2019,84.331199999999995]
[null,null,null,"Zimbabwe","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2017,0.92969999999999997]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2017,26.030799999999999]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2017,26.030799999999999]
[null,null,null,"Zimbabwe","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2018,1.6549]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2018,46.336399999999998]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2018,46.336399999999998]
[null,null,null,"Zimbabwe","Emissions (CH4)","Rice Cultivation","Rice Cultivation - Emissions (CH4)",2019,1.8242]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from CH4 (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)",2019,51.077599999999997]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Rice Cultivation","Rice Cultivation - Emissions (CO2eq) (AR5)",2019,51.077599999999997]
[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)",2017,358.64909999999998]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2017,358.64909999999998]
[null,null,null,"Zimbabwe","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2018,1.3533999999999999]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2018,358.64909999999998]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2018,358.64909999999998]
[null,null,null,"Zimbabwe","Emissions (N2O)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (N2O)",2019,1.3055000000000001]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)",2019,345.95839999999998]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Synthetic Fertilizers","Synthetic Fertilizers - Emissions (CO2eq) (AR5)",2019,345.95839999999998]
[null,null,null,"Zimbabwe","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2017,0.3125]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2017,82.814499999999995]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2017,82.814499999999995]
[null,null,null,"Zimbabwe","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2018,0.30409999999999998]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2018,80.5822]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2018,80.5822]
[null,null,null,"Zimbabwe","Emissions (N2O)","Manure applied to Soils","Manure applied to Soils - Emissions (N2O)",2019,0.33210000000000001]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) from N2O (AR5)",2019,88.007800000000003]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Manure applied to Soils","Manure applied to Soils - Emissions (CO2eq) (AR5)",2019,88.007800000000003]
[null,null,null,"Zimbabwe","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2017,0.41339999999999999]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2017,109.5446]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2017,109.5446]
[null,null,null,"Zimbabwe","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2018,0.42299999999999999]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2018,112.0874]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2018,112.0874]
[null,null,null,"Zimbabwe","Emissions (N2O)","Crop Residues","Crop Residues - Emissions (N2O)",2019,0.28539999999999999]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) from N2O (AR5)",2019,75.641400000000004]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Crop Residues","Crop Residues - Emissions (CO2eq) (AR5)",2019,75.641400000000004]
[null,null,null,"Zimbabwe","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2017,3.0853999999999999]
[null,null,null,"Zimbabwe","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2017,0.08]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2017,86.390199999999993]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2017,21.197600000000001]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2017,107.5878]
[null,null,null,"Zimbabwe","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2018,3.2625000000000002]
[null,null,null,"Zimbabwe","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2018,8.4599999999999995E-2]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2018,91.348799999999997]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2018,22.414300000000001]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2018,113.76309999999999]
[null,null,null,"Zimbabwe","Emissions (CH4)","Burning - Crop residues","Burning - Crop residues - Emissions (CH4)",2019,2.5388000000000002]
[null,null,null,"Zimbabwe","Emissions (N2O)","Burning - Crop residues","Burning - Crop residues - Emissions (N2O)",2019,6.5799999999999997E-2]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from CH4 (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from CH4 (AR5)",2019,71.085099999999997]
[null,null,null,"Zimbabwe","Emissions (CO2eq) from N2O (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) from N2O (AR5)",2019,17.4422]
[null,null,null,"Zimbabwe","Emissions (CO2eq) (AR5)","Burning - Crop residues","Burning - Crop residues - Emissions (CO2eq) (AR5)",2019,88.527199999999993]

{"sheet":"Crops","index":33,"n_rows":203193,"n_cols":49,"rows_kept":562,"cut":true,"hidden":true,"merged":[[1,1,7,1],[1,11,7,11],[1,20,9,20],[1,29,9,29],[1,38,9,38]],"bounds":{"rows_first":250,"rows_last":62,"rows_between":250,"halvings":3}}
[null,null,"Area","Element","Item","CONCAT","Year","Unit","Value",null,null,null,null,"Area","Item","CONCAT","Production (t)","Area harvested (ha)",null,null,null,null,"Area","Item","CONCAT","Production (t)","Area harvested (ha)",null,null,null,null,"Area","Item","CONCAT","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 2017-2019\n-->","Afghanistan","Area harvested (ha)","Agave fibres nes","AfghanistanAgave fibres nes",2017,null,null,null,null,"FAOSTAT data,\n with production data, \nfor all countries, \nall crops (3 year average)\n-->",null,"Afghanistan","Agave fibres nes","AfghanistanAgave fibres nes",0,0,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 (3 year average)\n-->",null,"Angola","Rice, paddy","AngolaRice, paddy",9742.3333333333339,9265.3333333333339,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",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV2,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":396718.66666666669}]
[null,null,"Afghanistan","Area harvested (ha)","Agave fibres nes","AfghanistanAgave fibres nes",2018,null,null,null,null,null,null,"Afghanistan","Almonds","AfghanistanAlmonds",33303,23016.333333333332,null,null,null,null,"Angola","Almonds","AngolaAlmonds",0,0,null,null,null,null,"Antigua and Barbuda","Rice, paddy","Antigua and BarbudaRice, paddy",0,0,null,null,null,null,"Angola","Apples","AngolaApples",0,0,null,null,"Apples",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV3,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":57438487.333333328}]
[null,null,"Afghanistan","Area harvested (ha)","Agave fibres nes","AfghanistanAgave fibres nes",2019,null,null,null,null,null,null,"Afghanistan","Anise, badian, fennel, coriander","AfghanistanAnise, badian, fennel, coriander",18386.666666666668,25759,null,null,null,null,"Angola","Anise, badian, fennel, coriander","AngolaAnise, badian, fennel, coriander",0,0,null,null,null,null,"Argentina","Rice, paddy","ArgentinaRice, paddy",1295391.3333333333,195185,null,null,null,null,"Angola","Avocados","AngolaAvocados",0,0,null,null,"Avocados",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV4,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":6172936.6666666651}]
[null,null,"Afghanistan","Production (t)","Agave fibres nes","AfghanistanAgave fibres nes",2017,null,null,null,null,null,null,"Afghanistan","Apples","AfghanistanApples",212653,27595.666666666668,null,null,null,null,"Angola","Apples","AngolaApples",0,0,null,null,null,null,"Bahamas","Rice, paddy","BahamasRice, paddy",0,0,null,null,null,null,"Angola","Bananas","AngolaBananas",3968981,157954.66666666666,null,null,"Bananas",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV5,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":114088704.66666664}]
[null,null,"Afghanistan","Production (t)","Agave fibres nes","AfghanistanAgave fibres nes",2018,null,null,null,null,null,null,"Afghanistan","Apricots","AfghanistanApricots",123421.66666666667,18098.666666666668,null,null,null,null,"Angola","Apricots","AngolaApricots",0,0,null,null,null,null,"Bangladesh","Rice, paddy","BangladeshRice, paddy",54383448,11548515,null,null,null,null,"Angola","Barley","AngolaBarley",0,0,null,null,"Barley",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV6,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":34592035.666666664}]
[null,null,"Afghanistan","Production (t)","Agave fibres nes","AfghanistanAgave fibres nes",2019,null,null,null,null,null,null,"Afghanistan","Areca nuts","AfghanistanAreca nuts",0,0,null,null,null,null,"Angola","Areca nuts","AngolaAreca nuts",0,0,null,null,null,null,"Barbados","Rice, paddy","BarbadosRice, paddy",0,0,null,null,null,null,"Angola","Beans","AngolaBeans (dry)",330865.33333333331,826393.66666666663,null,null,"Beans",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV7,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":24811745.999999996}]
[null,null,"Afghanistan","Area harvested (ha)","Almonds","AfghanistanAlmonds",2017,"ha",19793,null,null,null,null,"Afghanistan","Artichokes","AfghanistanArtichokes",0,0,null,null,null,null,"Angola","Artichokes","AngolaArtichokes",0,0,null,null,null,null,"Belize","Rice, paddy","BelizeRice, paddy",15342,3035.6666666666665,null,null,null,null,"Angola","Buckwheat","AngolaBuckwheat",0,0,null,null,"Buckwheat",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV8,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":822370.33333333326}]
[null,null,"Afghanistan","Area harvested (ha)","Almonds","AfghanistanAlmonds",2018,"ha",20053,null,null,null,null,"Afghanistan","Asparagus","AfghanistanAsparagus",0,0,null,null,null,null,"Angola","Asparagus","AngolaAsparagus",0,0,null,null,null,null,"Benin","Rice, paddy","BeninRice, paddy",381371.33333333331,105523,null,null,null,null,"Angola","Carrots","AngolaCarrots and turnips",0,0,null,null,"Carrots",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV9,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":28502796.166666649}]
[null,null,"Afghanistan","Area harvested (ha)","Almonds","AfghanistanAlmonds",2019,"ha",29203,null,null,null,null,"Afghanistan","Avocados","AfghanistanAvocados",0,0,null,null,null,null,"Angola","Avocados","AngolaAvocados",0,0,null,null,null,null,"Bhutan","Rice, paddy","BhutanRice, paddy",66741,16185.666666666666,null,null,null,null,"Angola","Cashew nuts","AngolaCashew nuts",2033,2703.3333333333335,null,null,"Cashew nuts",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV10,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":3817149.3333333316}]
[null,null,"Afghanistan","Production (t)","Almonds","AfghanistanAlmonds",2017,"tonnes",27291,null,null,null,null,"Afghanistan","Bambara beans","AfghanistanBambara beans",0,0,null,null,null,null,"Angola","Bambara beans","AngolaBambara beans",0,0,null,null,null,null,"Bolivia (Plurinational State of)","Rice, paddy","Bolivia (Plurinational State of)Rice, paddy",539926.33333333337,176627,null,null,null,null,"Angola","Cassava","AngolaCassava",8685898,966662,null,null,"Cassava",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV11,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":289150740.66666675}]
[null,null,"Afghanistan","Production (t)","Almonds","AfghanistanAlmonds",2018,"tonnes",34413,null,null,null,null,"Afghanistan","Bananas","AfghanistanBananas",0,0,null,null,null,null,"Angola","Bananas","AngolaBananas",3968981,157954.66666666666,null,null,null,null,"Bosnia and Herzegovina","Rice, paddy","Bosnia and HerzegovinaRice, paddy",0,0,null,null,null,null,"Angola","Chickpeas","AngolaChickpeas ",0,0,null,null,"Chickpeas",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV12,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":12852457.333333334}]
[null,null,"Afghanistan","Production (t)","Almonds","AfghanistanAlmonds",2019,"tonnes",38205,null,null,null,null,"Afghanistan","Barley","AfghanistanBarley",91784,78798.666666666672,null,null,null,null,"Angola","Barley","AngolaBarley",0,0,null,null,null,null,"Botswana","Rice, paddy","BotswanaRice, paddy",0,0,null,null,null,null,"Angola","Cocoa","AngolaCocoa, beans",431,2754.6666666666665,null,null,"Cocoa",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV13,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":5462164.6666666651}]
[null,null,"Afghanistan","Area harvested (ha)","Anise, badian, fennel, coriander","AfghanistanAnise, badian, fennel, coriander",2017,"ha",26500,null,null,null,null,"Afghanistan","Bastfibres, other","AfghanistanBastfibres, other",0,0,null,null,null,null,"Angola","Bastfibres, other","AngolaBastfibres, other",828,1206,null,null,null,null,"Brazil","Rice, paddy","BrazilRice, paddy",11547272.333333334,1862806.6666666667,null,null,null,null,"Angola","Coffee","AngolaCoffee, green",14855.333333333334,48853,null,null,"Coffee",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV14,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":9889648.3333333321}]
[null,null,"Afghanistan","Area harvested (ha)","Anise, badian, fennel, coriander","AfghanistanAnise, badian, fennel, coriander",2018,"ha",25333,null,null,null,null,"Afghanistan","Beans","AfghanistanBeans (dry)",0,0,null,null,null,null,"Angola","Beans (dry)","AngolaBeans (dry)",330865.33333333331,826393.66666666663,null,null,null,null,"Burkina Faso","Rice, paddy","Burkina FasoRice, paddy",350828.33333333331,167763.66666666666,null,null,null,null,"Angola","Cotton","AngolaCotton",5463.666666666667,2977.3333333333335,null,null,"Cotton",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV15,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":60211139.333333343}]
[null,null,"Afghanistan","Area harvested (ha)","Anise, badian, fennel, coriander","AfghanistanAnise, badian, fennel, coriander",2019,"ha",25444,null,null,null,null,"Afghanistan","Beans, green","AfghanistanBeans, green",0,0,null,null,null,null,"Angola","Beans, green","AngolaBeans, green",0,0,null,null,null,null,"Burundi","Rice, paddy","BurundiRice, paddy",139601.66666666666,52770.333333333336,null,null,null,null,"Angola","Garlic (green)","AngolaGarlic (green)",0,0,null,null,"Garlic (green)",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV16,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":25461617.66666666}]
[null,null,"Afghanistan","Production (t)","Anise, badian, fennel, coriander","AfghanistanAnise, badian, fennel, coriander",2017,"tonnes",18944,null,null,null,null,"Afghanistan","Berries nes","AfghanistanBerries nes",27277.333333333332,5156.666666666667,null,null,null,null,"Angola","Berries nes","AngolaBerries nes",0,0,null,null,null,null,"Cabo Verde","Rice, paddy","Cabo VerdeRice, paddy",0,0,null,null,null,null,"Angola","Ginger","AngolaGinger",0,0,null,null,"Ginger",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV17,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":3840365}]
[null,null,"Afghanistan","Production (t)","Anise, badian, fennel, coriander","AfghanistanAnise, badian, fennel, coriander",2018,"tonnes",18093,null,null,null,null,"Afghanistan","Blueberries","AfghanistanBlueberries",0,0,null,null,null,null,"Angola","Blueberries","AngolaBlueberries",0,0,null,null,null,null,"Cambodia","Rice, paddy","CambodiaRice, paddy",10765333.333333334,2990941,null,null,null,null,"Angola","Grapes","AngolaGrapes",0,0,null,null,"Grapes",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV18,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":35510534.666666672}]
[null,null,"Afghanistan","Production (t)","Anise, badian, fennel, coriander","AfghanistanAnise, badian, fennel, coriander",2019,"tonnes",18123,null,null,null,null,"Afghanistan","Brazil nuts, with shell","AfghanistanBrazil nuts, with shell",0,0,null,null,null,null,"Angola","Brazil nuts, with shell","AngolaBrazil nuts, with shell",0,0,null,null,null,null,"Cameroon","Rice, paddy","CameroonRice, paddy",290468.66666666669,235897,null,null,null,null,"Angola","Peanuts","AngolaPeanuts",213795.66666666666,333384.33333333331,null,null,"Peanuts",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV19,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":46957139.666666657}]
[null,null,"Afghanistan","Area harvested (ha)","Apples","AfghanistanApples",2017,"ha",26847,null,null,null,null,"Afghanistan","Broad beans, horse Beans (dry)","AfghanistanBroad beans, horse Beans (dry)",0,0,null,null,null,null,"Angola","Broad beans, horse Beans (dry)","AngolaBroad beans, horse Beans (dry)",0,0,null,null,null,null,"Central African Republic","Rice, paddy","Central African RepublicRice, paddy",11403.666666666666,6678,null,null,null,null,"Angola","Lemons","AngolaLemons",0,0,null,null,"Lemons",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV20,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":15483703.000000002}]
[null,null,"Afghanistan","Area harvested (ha)","Apples","AfghanistanApples",2018,"ha",28381,null,null,null,null,"Afghanistan","Buckwheat","AfghanistanBuckwheat",0,0,null,null,null,null,"Angola","Buckwheat","AngolaBuckwheat",0,0,null,null,null,null,"Chad","Rice, paddy","ChadRice, paddy",271219.33333333331,189727,null,null,null,null,"Angola","Lentils","AngolaLentils",0,0,null,null,"Lentils",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV21,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":2798502.3333333335}]
[null,null,"Afghanistan","Area harvested (ha)","Apples","AfghanistanApples",2019,"ha",27559,null,null,null,null,"Afghanistan","Cabbages and other brassicas","AfghanistanCabbages and other brassicas",0,0,null,null,null,null,"Angola","Cabbages and other brassicas","AngolaCabbages and other brassicas",338228.33333333331,124103,null,null,null,null,"Chile","Rice, paddy","ChileRice, paddy",165190.33333333334,25567,null,null,null,null,"Angola","Lettuce","AngolaLettuce",0,0,null,null,"Lettuce",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV22,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":17612804.666666657}]
[null,null,"Afghanistan","Production (t)","Apples","AfghanistanApples",2017,"tonnes",170443,null,null,null,null,"Afghanistan","Canary seed","AfghanistanCanary seed",0,0,null,null,null,null,"Angola","Canary seed","AngolaCanary seed",0,0,null,null,null,null,"China","Rice, paddy","ChinaRice, paddy",213304652,30480963,null,null,null,null,"Angola","Maize","AngolaMaize",2654840.6666666665,2648862.3333333335,null,null,"Maize",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV23,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":664260261.33333337}]
[null,null,"Afghanistan","Production (t)","Apples","AfghanistanApples",2018,"tonnes",217192,null,null,null,null,"Afghanistan","Carobs","AfghanistanCarobs",0,0,null,null,null,null,"Angola","Carobs","AngolaCarobs",0,0,null,null,null,null,"Colombia","Rice, paddy","ColombiaRice, paddy",3083384.6666666665,551693.66666666663,null,null,null,null,"Angola","Mangoes","AngolaMangoes",0,0,null,null,"Mangoes",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV24,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":52853411.499999993}]
[null,null,"Afghanistan","Production (t)","Apples","AfghanistanApples",2019,"tonnes",250324,null,null,null,null,"Afghanistan","Carrots","AfghanistanCarrots and turnips",0,0,null,null,null,null,"Angola","Carrots","AngolaCarrots and turnips",0,0,null,null,null,null,"Comoros","Rice, paddy","ComorosRice, paddy",30543,23570.333333333332,null,null,null,null,"Angola","Millet","AngolaMillet",61805.333333333336,266674.66666666669,null,null,"Millet",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV25,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":28739746.166666668}]
[null,null,"Afghanistan","Area harvested (ha)","Apricots","AfghanistanApricots",2017,"ha",18067,null,null,null,null,"Afghanistan","Cashew nuts","AfghanistanCashew nuts",0,0,null,null,null,null,"Angola","Cashew nuts","AngolaCashew nuts",2033,2703.3333333333335,null,null,null,null,"Congo","Rice, paddy","CongoRice, paddy",1214,2046,null,null,null,null,"Angola","Mushrooms","AngolaMushrooms",0,0,null,null,"Mushrooms",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV26,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":38284956.999999993}]
[null,null,"Afghanistan","Area harvested (ha)","Apricots","AfghanistanApricots",2018,"ha",18510,null,null,null,null,"Afghanistan","Cashewapple","AfghanistanCashewapple",0,0,null,null,null,null,"Angola","Cashewapple","AngolaCashewapple",0,0,null,null,null,null,"Costa Rica","Rice, paddy","Costa RicaRice, paddy",163168.33333333334,37264.666666666664,null,null,null,null,"Angola","Oats","AngolaOats",0,0,null,null,"Oats",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV27,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":3793793.3333333335}]
[null,null,"Afghanistan","Area harvested (ha)","Apricots","AfghanistanApricots",2019,"ha",17719,null,null,null,null,"Afghanistan","Cassava","AfghanistanCassava",0,0,null,null,null,null,"Angola","Cassava","AngolaCassava",8685898,966662,null,null,null,null,"Cote d'Ivoire","Rice, paddy","Cote d'IvoireRice, paddy",2003600.3333333333,729263,null,null,null,null,"Angola","Onions, dry","AngolaOnions, dry",0,0,null,null,"Onions, dry",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV28,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":77600053}]
[null,null,"Afghanistan","Production (t)","Apricots","AfghanistanApricots",2017,"tonnes",131816,null,null,null,null,"Afghanistan","Cassava leaves","AfghanistanCassava leaves",0,0,null,null,null,null,"Angola","Cassava leaves","AngolaCassava leaves",0,0,null,null,null,null,"Democratic Republic of the Congo","Rice, paddy","Democratic Republic of the CongoRice, paddy",1292908,1528583.6666666667,null,null,null,null,"Angola","Oranges","AngolaOranges",0,0,null,null,"Oranges",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV29,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":58737141.999999985}]
[null,null,"Afghanistan","Production (t)","Apricots","AfghanistanApricots",2018,"tonnes",109086,null,null,null,null,"Afghanistan","Castor oil seed","AfghanistanCastor oil seed",0,0,null,null,null,null,"Angola","Castor oil seed","AngolaCastor oil seed",4117.666666666667,16132.666666666666,null,null,null,null,"Dominica","Rice, paddy","DominicaRice, paddy",0,0,null,null,null,null,"Angola","Peas (dry)","AngolaPeas (dry)",0,0,null,null,"Peas (dry)",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV30,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":4302852.3333333312}]
[null,null,"Afghanistan","Production (t)","Apricots","AfghanistanApricots",2019,"tonnes",129363,null,null,null,null,"Afghanistan","Cauliflowers and broccoli","AfghanistanCauliflowers and broccoli",0,0,null,null,null,null,"Angola","Cauliflowers and broccoli","AngolaCauliflowers and broccoli",0,0,null,null,null,null,"Dominican Republic","Rice, paddy","Dominican RepublicRice, paddy",929921.66666666663,181906.66666666666,null,null,null,null,"Angola","Peppers","AngolaPeppers",0,0,null,null,"Peppers",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV31,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":694838.66666666651}]
[null,null,"Afghanistan","Area harvested (ha)","Areca nuts","AfghanistanAreca nuts",2017,null,null,null,null,null,null,"Afghanistan","Cereals nes","AfghanistanCereals nes",0,0,null,null,null,null,"Angola","Cereals nes","AngolaCereals nes",0,0,null,null,null,null,"Ecuador","Rice, paddy","EcuadorRice, paddy",1172131,304557,null,null,null,null,"Angola","Pineapples","AngolaPineapples",594573,45221.333333333336,null,null,"Pineapples",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV32,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":27660365.499999993}]
[null,null,"Afghanistan","Area harvested (ha)","Areca nuts","AfghanistanAreca nuts",2018,null,null,null,null,null,null,"Afghanistan","Cherries","AfghanistanCherries",0,0,null,null,null,null,"Angola","Cherries","AngolaCherries",0,0,null,null,null,null,"Egypt","Rice, paddy","EgyptRice, paddy",4296222,486436.33333333331,null,null,null,null,"Angola","Potatoes","AngolaPotatoes",458217.33333333331,63930.333333333336,null,null,"Potatoes",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV33,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":231745760.33333331}]
[null,null,"Afghanistan","Area harvested (ha)","Areca nuts","AfghanistanAreca nuts",2019,null,null,null,null,null,null,"Afghanistan","Cherries, sour","AfghanistanCherries, sour",0,0,null,null,null,null,"Angola","Cherries, sour","AngolaCherries, sour",0,0,null,null,null,null,"El Salvador","Rice, paddy","El SalvadorRice, paddy",26661,3831.3333333333335,null,null,null,null,"Angola","Quinoa","AngolaQuinoa",0,0,null,null,"Quinoa",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV34,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":155842}]
[null,null,"Afghanistan","Production (t)","Areca nuts","AfghanistanAreca nuts",2017,null,null,null,null,null,null,"Afghanistan","Chestnut","AfghanistanChestnut",0,0,null,null,null,null,"Angola","Chestnut","AngolaChestnut",0,0,null,null,null,null,"Equatorial Guinea","Rice, paddy","Equatorial GuineaRice, paddy",0,0,null,null,null,null,"Angola","Rapeseed","AngolaRapeseed",0,0,null,null,"Rapeseed",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV35,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":26250254.000000007}]
[null,null,"Afghanistan","Production (t)","Areca nuts","AfghanistanAreca nuts",2018,null,null,null,null,null,null,"Afghanistan","Chickpeas","AfghanistanChickpeas ",0,0,null,null,null,null,"Angola","Chickpeas","AngolaChickpeas ",0,0,null,null,null,null,"Eritrea","Rice, paddy","EritreaRice, paddy",0,0,null,null,null,null,"Angola","Rye","AngolaRye",0,0,null,null,"Rye",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV36,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":1492484.333333333}]
[null,null,"Afghanistan","Production (t)","Areca nuts","AfghanistanAreca nuts",2019,null,null,null,null,null,null,"Afghanistan","Chicory roots","AfghanistanChicory roots",0,0,null,null,null,null,"Angola","Chicory roots","AngolaChicory roots",0,0,null,null,null,null,"Eswatini","Rice, paddy","EswatiniRice, paddy",974.66666666666663,295,null,null,null,null,"Angola","Sesame seed","AngolaSesame seed",3152,12098,null,null,"Sesame seed",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV37,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":5963769.333333334}]
[null,null,"Afghanistan","Area harvested (ha)","Artichokes","AfghanistanArtichokes",2017,null,null,null,null,null,null,"Afghanistan","Chillies and peppers, dry","AfghanistanChillies and peppers, dry",0,0,null,null,null,null,"Angola","Chillies and peppers, dry","AngolaChillies and peppers, dry",0,0,null,null,null,null,"Ethiopia","Rice, paddy","EthiopiaRice, paddy",164500.66666666666,58015,null,null,null,null,"Angola","Sorghum","AngolaSorghum",35169.333333333336,146756,null,null,"Sorghum",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV38,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":47023835.666666672}]
[null,null,"Afghanistan","Area harvested (ha)","Artichokes","AfghanistanArtichokes",2018,null,null,null,null,null,null,"Afghanistan","Chillies and peppers, green","AfghanistanChillies and peppers, green",0,0,null,null,null,null,"Angola","Chillies and peppers, green","AngolaChillies and peppers, green",0,0,null,null,null,null,"Fiji","Rice, paddy","FijiRice, paddy",7293.333333333333,2431,null,null,null,null,"Angola","Soybeans","AngolaSoybeans",36205.666666666664,37241.333333333336,null,null,"Soybeans",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV39,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":219183765.66666666}]
[null,null,"Afghanistan","Area harvested (ha)","Artichokes","AfghanistanArtichokes",2019,null,null,null,null,null,null,"Afghanistan","Cinnamon (cannella)","AfghanistanCinnamon (cannella)",0,0,null,null,null,null,"Angola","Cinnamon (cannella)","AngolaCinnamon (cannella)",0,0,null,null,null,null,"Gabon","Rice, paddy","GabonRice, paddy",1700,600.33333333333337,null,null,null,null,"Angola","Sugar cane","AngolaSugar cane",655520.66666666663,16801.666666666668,null,null,"Sugar cane",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV40,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":1818506949.0000002}]
[null,null,"Afghanistan","Production (t)","Artichokes","AfghanistanArtichokes",2017,null,null,null,null,null,null,"Afghanistan","Cloves","AfghanistanCloves",0,0,null,null,null,null,"Angola","Cloves","AngolaCloves",0,0,null,null,null,null,"Gambia","Rice, paddy","GambiaRice, paddy",26000,57182.666666666664,null,null,null,null,"Angola","Sunflower seeds","AngolaSunflower seeds",11993.666666666666,16933.666666666668,null,null,"Sunflower seeds",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV41,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":26471750.66666666}]
[null,null,"Afghanistan","Production (t)","Artichokes","AfghanistanArtichokes",2018,null,null,null,null,null,null,"Afghanistan","Cocoa","AfghanistanCocoa, beans",0,0,null,null,null,null,"Angola","Cocoa","AngolaCocoa, beans",431,2754.6666666666665,null,null,null,null,"Ghana","Rice, paddy","GhanaRice, paddy",805493.66666666663,283380.33333333331,null,null,null,null,"Angola","Sweet potatoes","AngolaSweet potatoes",1688098.3333333333,184553,null,null,"Sweet potatoes",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV42,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":87985679.000000015}]
[null,null,"Afghanistan","Production (t)","Artichokes","AfghanistanArtichokes",2019,null,null,null,null,null,null,"Afghanistan","Coconuts","AfghanistanCoconuts",0,0,null,null,null,null,"Angola","Coconuts","AngolaCoconuts",0,0,null,null,null,null,"Grenada","Rice, paddy","GrenadaRice, paddy",0,0,null,null,null,null,"Angola","Tomatoes","AngolaTomatoes",16594,6242.666666666667,null,null,"Tomatoes",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV43,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":132631359.33333331}]
[null,null,"Afghanistan","Area harvested (ha)","Asparagus","AfghanistanAsparagus",2017,null,null,null,null,null,null,"Afghanistan","Coffee","AfghanistanCoffee, green",0,0,null,null,null,null,"Angola","Coffee","AngolaCoffee, green",14855.333333333334,48853,null,null,null,null,"Guatemala","Rice, paddy","GuatemalaRice, paddy",35465,11918.666666666666,null,null,null,null,"Angola","Wheat","AngolaWheat",2954.6666666666665,3289,null,null,"Wheat",{"$f":"SUMIF(TARGET_Countries_TARGET_Crops_AVERAGE[Item],AV44,TARGET_Countries_TARGET_Crops_AVERAGE[Production (t)])","v":383733972.83333325}]
[null,null,"Afghanistan","Area harvested (ha)","Asparagus","AfghanistanAsparagus",2018,null,null,null,null,null,null,"Afghanistan","Coir","AfghanistanCoir",0,0,null,null,null,null,"Angola","Coir","AngolaCoir",0,0,null,null,null,null,"Guinea","Rice, paddy","GuineaRice, paddy",2378939.3333333335,1863268.6666666667,null,null,null,null,"Antigua and Barbuda","Almonds","Antigua and BarbudaAlmonds",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Asparagus","AfghanistanAsparagus",2019,null,null,null,null,null,null,"Afghanistan","Cotton","AfghanistanCotton",55780,40237.333333333336,null,null,null,null,"Angola","Cow Peas (dry)","AngolaCow Peas (dry)",0,0,null,null,null,null,"Guinea-Bissau","Rice, paddy","Guinea-BissauRice, paddy",176000,113104.66666666667,null,null,null,null,"Antigua and Barbuda","Apples","Antigua and BarbudaApples",0,0]
[null,null,"Afghanistan","Production (t)","Asparagus","AfghanistanAsparagus",2017,null,null,null,null,null,null,"Afghanistan","Cow Peas (dry)","AfghanistanCow Peas (dry)",0,0,null,null,null,null,"Angola","Cranberries","AngolaCranberries",0,0,null,null,null,null,"Guyana","Rice, paddy","GuyanaRice, paddy",758998,172409,null,null,null,null,"Antigua and Barbuda","Avocados","Antigua and BarbudaAvocados",0,0]
[null,null,"Afghanistan","Production (t)","Asparagus","AfghanistanAsparagus",2018,null,null,null,null,null,null,"Afghanistan","Cranberries","AfghanistanCranberries",0,0,null,null,null,null,"Angola","Cucumbers and gherkins","AngolaCucumbers and gherkins",0,0,null,null,null,null,"Haiti","Rice, paddy","HaitiRice, paddy",176576.66666666666,59712.333333333336,null,null,null,null,"Antigua and Barbuda","Bananas","Antigua and BarbudaBananas",177.66666666666666,48]
[null,null,"Afghanistan","Production (t)","Asparagus","AfghanistanAsparagus",2019,null,null,null,null,null,null,"Afghanistan","Cucumbers and gherkins","AfghanistanCucumbers and gherkins",0,0,null,null,null,null,"Angola","Currants","AngolaCurrants",0,0,null,null,null,null,"Honduras","Rice, paddy","HondurasRice, paddy",58601.666666666664,14753.666666666666,null,null,null,null,"Antigua and Barbuda","Barley","Antigua and BarbudaBarley",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Avocados","AfghanistanAvocados",2018,null,null,null,null,null,null,"Afghanistan","Currants","AfghanistanCurrants",0,0,null,null,null,null,"Angola","Eggplants (aubergines)","AngolaEggplants (aubergines)",0,0,null,null,null,null,"India","Rice, paddy","IndiaRice, paddy",173620576.66666666,43903506.666666664,null,null,null,null,"Antigua and Barbuda","Beans","Antigua and BarbudaBeans (dry)",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Avocados","AfghanistanAvocados",2019,null,null,null,null,null,null,"Afghanistan","Eggplants (aubergines)","AfghanistanEggplants (aubergines)",0,0,null,null,null,null,"Angola","Fibre crops nes","AngolaFibre crops nes",0,0,null,null,null,null,"Indonesia","Rice, paddy","IndonesiaRice, paddy",56352189,10985273.666666666,null,null,null,null,"Antigua and Barbuda","Buckwheat","Antigua and BarbudaBuckwheat",0,0]
[null,null,"Afghanistan","Production (t)","Avocados","AfghanistanAvocados",2017,null,null,null,null,null,null,"Afghanistan","Fibre crops nes","AfghanistanFibre crops nes",0,0,null,null,null,null,"Angola","Figs","AngolaFigs",0,0,null,null,null,null,"Jamaica","Rice, paddy","JamaicaRice, paddy",1,1,null,null,null,null,"Antigua and Barbuda","Carrots","Antigua and BarbudaCarrots and turnips",205,24.666666666666668]
[null,null,"Afghanistan","Production (t)","Avocados","AfghanistanAvocados",2018,null,null,null,null,null,null,"Afghanistan","Figs","AfghanistanFigs",13921,2265.3333333333335,null,null,null,null,"Angola","Flax fibre and tow","AngolaFlax fibre and tow",0,0,null,null,null,null,"Kazakhstan","Rice, paddy","KazakhstanRice, paddy",511032.66666666669,102650,null,null,null,null,"Antigua and Barbuda","Cashew nuts","Antigua and BarbudaCashew nuts",0,0]
[null,null,"Afghanistan","Production (t)","Avocados","AfghanistanAvocados",2019,null,null,null,null,null,null,"Afghanistan","Flax fibre and tow","AfghanistanFlax fibre and tow",0,0,null,null,null,null,"Angola","Fonio","AngolaFonio",0,0,null,null,null,null,"Kenya","Rice, paddy","KenyaRice, paddy",118129.33333333333,27116.666666666668,null,null,null,null,"Antigua and Barbuda","Cassava","Antigua and BarbudaCassava",104.66666666666667,18]
[null,null,"Afghanistan","Area harvested (ha)","Bambara beans","AfghanistanBambara beans",2017,null,null,null,null,null,null,"Afghanistan","Fonio","AfghanistanFonio",0,0,null,null,null,null,"Angola","Fruit, citrus nes","AngolaFruit, citrus nes",416253.33333333331,38462,null,null,null,null,"Kiribati","Rice, paddy","KiribatiRice, paddy",0,0,null,null,null,null,"Antigua and Barbuda","Chickpeas","Antigua and BarbudaChickpeas ",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Bambara beans","AfghanistanBambara beans",2018,null,null,null,null,null,null,"Afghanistan","Fruit, citrus nes","AfghanistanFruit, citrus nes",21255,2244.6666666666665,null,null,null,null,"Angola","Fruit, fresh nes","AngolaFruit, fresh nes",39050.666666666664,8295.6666666666661,null,null,null,null,"Kyrgyzstan","Rice, paddy","KyrgyzstanRice, paddy",40060.666666666664,11118,null,null,null,null,"Antigua and Barbuda","Cocoa","Antigua and BarbudaCocoa, beans",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Bambara beans","AfghanistanBambara beans",2019,null,null,null,null,null,null,"Afghanistan","Fruit, fresh nes","AfghanistanFruit, fresh nes",62544.666666666664,8383.6666666666661,null,null,null,null,"Angola","Fruit, pome nes","AngolaFruit, pome nes",0,0,null,null,null,null,"Lao People's Democratic Republic","Rice, paddy","Lao People's Democratic RepublicRice, paddy",3719659.6666666665,870515.66666666663,null,null,null,null,"Antigua and Barbuda","Coffee","Antigua and BarbudaCoffee, green",0,0]
[null,null,"Afghanistan","Production (t)","Bambara beans","AfghanistanBambara beans",2017,null,null,null,null,null,null,"Afghanistan","Fruit, pome nes","AfghanistanFruit, pome nes",0,0,null,null,null,null,"Angola","Fruit, stone nes","AngolaFruit, stone nes",0,0,null,null,null,null,"Lebanon","Rice, paddy","LebanonRice, paddy",0,0,null,null,null,null,"Antigua and Barbuda","Cotton","Antigua and BarbudaCotton",105,601]
[null,null,"Afghanistan","Production (t)","Bambara beans","AfghanistanBambara beans",2018,null,null,null,null,null,null,"Afghanistan","Fruit, stone nes","AfghanistanFruit, stone nes",48219,6834.333333333333,null,null,null,null,"Angola","Fruit, tropical fresh nes","AngolaFruit, tropical fresh nes",0,0,null,null,null,null,"Lesotho","Rice, paddy","LesothoRice, paddy",0,0,null,null,null,null,"Antigua and Barbuda","Garlic (green)","Antigua and BarbudaGarlic (green)",0,0]
[null,null,"Afghanistan","Production (t)","Bambara beans","AfghanistanBambara beans",2019,null,null,null,null,null,null,"Afghanistan","Fruit, tropical fresh nes","AfghanistanFruit, tropical fresh nes",0,0,null,null,null,null,"Angola","Garlic (green)","AngolaGarlic (green)",0,0,null,null,null,null,"Liberia","Rice, paddy","LiberiaRice, paddy",258163.33333333334,238893.33333333334,null,null,null,null,"Antigua and Barbuda","Ginger","Antigua and BarbudaGinger",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Bananas","AfghanistanBananas",2017,null,null,null,null,null,null,"Afghanistan","Garlic (green)","AfghanistanGarlic (green)",0,0,null,null,null,null,"Angola","Ginger","AngolaGinger",0,0,null,null,null,null,"Madagascar","Rice, paddy","MadagascarRice, paddy",3953881.6666666665,1270000,null,null,null,null,"Antigua and Barbuda","Grapes","Antigua and BarbudaGrapes",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Bananas","AfghanistanBananas",2018,null,null,null,null,null,null,"Afghanistan","Ginger","AfghanistanGinger",0,0,null,null,null,null,"Angola","Gooseberries","AngolaGooseberries",0,0,null,null,null,null,"Malawi","Rice, paddy","MalawiRice, paddy",122040,66475,null,null,null,null,"Antigua and Barbuda","Peanuts","Antigua and BarbudaPeanuts",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Bananas","AfghanistanBananas",2019,null,null,null,null,null,null,"Afghanistan","Gooseberries","AfghanistanGooseberries",0,0,null,null,null,null,"Angola","Grain, mixed","AngolaGrain, mixed",0,0,null,null,null,null,"Malaysia","Rice, paddy","MalaysiaRice, paddy",2520861.6666666665,685870.66666666663,null,null,null,null,"Antigua and Barbuda","Lemons","Antigua and BarbudaLemons",418.66666666666669,90]
[null,null,"Afghanistan","Production (t)","Bananas","AfghanistanBananas",2017,null,null,null,null,null,null,"Afghanistan","Grain, mixed","AfghanistanGrain, mixed",0,0,null,null,null,null,"Angola","Grapefruit (inc. pomelos)","AngolaGrapefruit (inc. pomelos)",0,0,null,null,null,null,"Maldives","Rice, paddy","MaldivesRice, paddy",0,0,null,null,null,null,"Antigua and Barbuda","Lentils","Antigua and BarbudaLentils",0,0]
[null,null,"Afghanistan","Production (t)","Bananas","AfghanistanBananas",2018,null,null,null,null,null,null,"Afghanistan","Grapefruit (inc. pomelos)","AfghanistanGrapefruit (inc. pomelos)",0,0,null,null,null,null,"Angola","Grapes","AngolaGrapes",0,0,null,null,null,null,"Mali","Rice, paddy","MaliRice, paddy",3023807,887345.66666666663,null,null,null,null,"Antigua and Barbuda","Lettuce","Antigua and BarbudaLettuce",0,0]
[null,null,"Afghanistan","Production (t)","Bananas","AfghanistanBananas",2019,null,null,null,null,null,null,"Afghanistan","Grapes","AfghanistanGrapes",1006946.3333333334,88101.333333333328,null,null,null,null,"Angola","Peanuts","AngolaPeanuts",213795.66666666666,333384.33333333331,null,null,null,null,"Marshall Islands","Rice, paddy","Marshall IslandsRice, paddy",0,0,null,null,null,null,"Antigua and Barbuda","Maize","Antigua and BarbudaMaize",53.666666666666664,24]
[null,null,"Afghanistan","Area harvested (ha)","Barley","AfghanistanBarley",2017,"ha",68179,null,null,null,null,"Afghanistan","Peanuts","AfghanistanPeanuts",0,0,null,null,null,null,"Angola","Gums, natural","AngolaGums, natural",0,0,null,null,null,null,"Mauritania","Rice, paddy","MauritaniaRice, paddy",335666.66666666669,64651.333333333336,null,null,null,null,"Antigua and Barbuda","Mangoes","Antigua and BarbudaMangoes",1399.6666666666667,310]
[null,null,"Afghanistan","Area harvested (ha)","Barley","AfghanistanBarley",2018,"ha",84147,null,null,null,null,"Afghanistan","Gums, natural","AfghanistanGums, natural",0,0,null,null,null,null,"Angola","Hazelnuts, with shell","AngolaHazelnuts, with shell",0,0,null,null,null,null,"Mauritius","Rice, paddy","MauritiusRice, paddy",66.666666666666671,25,null,null,null,null,"Antigua and Barbuda","Millet","Antigua and BarbudaMillet",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Barley","AfghanistanBarley",2019,"ha",84070,null,null,null,null,"Afghanistan","Hazelnuts, with shell","AfghanistanHazelnuts, with shell",0,0,null,null,null,null,"Angola","Hemp tow waste","AngolaHemp tow waste",0,0,null,null,null,null,"Mexico","Rice, paddy","MexicoRice, paddy",264849,41742.666666666664,null,null,null,null,"Antigua and Barbuda","Mushrooms","Antigua and BarbudaMushrooms",0,0]
[null,null,"Afghanistan","Production (t)","Barley","AfghanistanBarley",2017,"tonnes",94995,null,null,null,null,"Afghanistan","Hemp tow waste","AfghanistanHemp tow waste",0,0,null,null,null,null,"Angola","Hempseed","AngolaHempseed",0,0,null,null,null,null,"Micronesia (Federated States of)","Rice, paddy","Micronesia (Federated States of)Rice, paddy",171.66666666666666,96.333333333333329,null,null,null,null,"Antigua and Barbuda","Oats","Antigua and BarbudaOats",0,0]
[null,null,"Afghanistan","Production (t)","Barley","AfghanistanBarley",2018,"tonnes",56781,null,null,null,null,"Afghanistan","Hempseed","AfghanistanHempseed",0,0,null,null,null,null,"Angola","Hops","AngolaHops",0,0,null,null,null,null,"Mongolia","Rice, paddy","MongoliaRice, paddy",0,0,null,null,null,null,"Antigua and Barbuda","Onions, dry","Antigua and BarbudaOnions, dry",228,29.666666666666668]
[null,null,"Afghanistan","Production (t)","Barley","AfghanistanBarley",2019,"tonnes",123576,null,null,null,null,"Afghanistan","Hops","AfghanistanHops",0,0,null,null,null,null,"Angola","Jojoba seed","AngolaJojoba seed",0,0,null,null,null,null,"Morocco","Rice, paddy","MoroccoRice, paddy",61777.666666666664,8025.666666666667,null,null,null,null,"Antigua and Barbuda","Oranges","Antigua and BarbudaOranges",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Bastfibres, other","AfghanistanBastfibres, other",2017,null,null,null,null,null,null,"Afghanistan","Jojoba seed","AfghanistanJojoba seed",0,0,null,null,null,null,"Angola","Jute","AngolaJute",0,0,null,null,null,null,"Mozambique","Rice, paddy","MozambiqueRice, paddy",162655,325000,null,null,null,null,"Antigua and Barbuda","Peas (dry)","Antigua and BarbudaPeas (dry)",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Bastfibres, other","AfghanistanBastfibres, other",2018,null,null,null,null,null,null,"Afghanistan","Jute","AfghanistanJute",0,0,null,null,null,null,"Angola","Kapok fruit","AngolaKapok fruit",0,0,null,null,null,null,"Myanmar","Rice, paddy","MyanmarRice, paddy",26796596.333333332,7005389.333333333,null,null,null,null,"Antigua and Barbuda","Peppers","Antigua and BarbudaPeppers",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Bastfibres, other","AfghanistanBastfibres, other",2019,null,null,null,null,null,null,"Afghanistan","Kapok fruit","AfghanistanKapok fruit",0,0,null,null,null,null,"Angola","Karite nuts (sheanuts)","AngolaKarite nuts (sheanuts)",0,0,null,null,null,null,"Namibia","Rice, paddy","NamibiaRice, paddy",0,0,null,null,null,null,"Antigua and Barbuda","Pineapples","Antigua and BarbudaPineapples",300.33333333333331,24]
[null,null,"Afghanistan","Production (t)","Bastfibres, other","AfghanistanBastfibres, other",2017,null,null,null,null,null,null,"Afghanistan","Karite nuts (sheanuts)","AfghanistanKarite nuts (sheanuts)",0,0,null,null,null,null,"Angola","Kiwi fruit","AngolaKiwi fruit",0,0,null,null,null,null,"Nepal","Rice, paddy","NepalRice, paddy",5330754.333333333,1504586,null,null,null,null,"Antigua and Barbuda","Potatoes","Antigua and BarbudaPotatoes",0,0]
[null,null,"Afghanistan","Production (t)","Bastfibres, other","AfghanistanBastfibres, other",2018,null,null,null,null,null,null,"Afghanistan","Kiwi fruit","AfghanistanKiwi fruit",0,0,null,null,null,null,"Angola","Kola nuts","AngolaKola nuts",0,0,null,null,null,null,"Nicaragua","Rice, paddy","NicaraguaRice, paddy",443003.33333333331,70522,null,null,null,null,"Antigua and Barbuda","Quinoa","Antigua and BarbudaQuinoa",0,0]
[null,null,"Afghanistan","Production (t)","Bastfibres, other","AfghanistanBastfibres, other",2019,null,null,null,null,null,null,"Afghanistan","Kola nuts","AfghanistanKola nuts",0,0,null,null,null,null,"Angola","Leeks, other alliaceous vegetables","AngolaLeeks, other alliaceous vegetables",0,0,null,null,null,null,"Niger","Rice, paddy","NigerRice, paddy",111999.66666666667,26833.333333333332,null,null,null,null,"Antigua and Barbuda","Rapeseed","Antigua and BarbudaRapeseed",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Beans","AfghanistanBeans (dry)",2017,null,null,null,null,null,null,"Afghanistan","Leeks, other alliaceous vegetables","AfghanistanLeeks, other alliaceous vegetables",0,0,null,null,null,null,"Angola","Lemons","AngolaLemons",0,0,null,null,null,null,"Nigeria","Rice, paddy","NigeriaRice, paddy",8221373.333333333,5617812.666666667,null,null,null,null,"Antigua and Barbuda","Rye","Antigua and BarbudaRye",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Beans","AfghanistanBeans (dry)",2018,null,null,null,null,null,null,"Afghanistan","Lemons","AfghanistanLemons",0,0,null,null,null,null,"Angola","Lentils","AngolaLentils",0,0,null,null,null,null,"Pakistan","Rice, paddy","PakistanRice, paddy",8596805.666666666,2914844.6666666665,null,null,null,null,"Antigua and Barbuda","Sesame seed","Antigua and BarbudaSesame seed",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Beans","AfghanistanBeans (dry)",2019,null,null,null,null,null,null,"Afghanistan","Lentils","AfghanistanLentils",0,0,null,null,null,null,"Angola","Lettuce","AngolaLettuce",0,0,null,null,null,null,"Panama","Rice, paddy","PanamaRice, paddy",346281,94930,null,null,null,null,"Antigua and Barbuda","Sorghum","Antigua and BarbudaSorghum",0,0]
[null,null,"Afghanistan","Production (t)","Beans","AfghanistanBeans (dry)",2017,null,null,null,null,null,null,"Afghanistan","Lettuce","AfghanistanLettuce",0,0,null,null,null,null,"Angola","Linseed","AngolaLinseed",0,0,null,null,null,null,"Papua New Guinea","Rice, paddy","Papua New GuineaRice, paddy",868.66666666666663,414.33333333333331,null,null,null,null,"Antigua and Barbuda","Soybeans","Antigua and BarbudaSoybeans",0,0]
[null,null,"Afghanistan","Production (t)","Beans","AfghanistanBeans (dry)",2018,null,null,null,null,null,null,"Afghanistan","Linseed","AfghanistanLinseed",35311.666666666664,33662.666666666664,null,null,null,null,"Angola","Lupins","AngolaLupins",0,0,null,null,null,null,"Paraguay","Rice, paddy","ParaguayRice, paddy",962600,148000,null,null,null,null,"Antigua and Barbuda","Sugar cane","Antigua and BarbudaSugar cane",0,0]
[null,null,"Afghanistan","Production (t)","Beans","AfghanistanBeans (dry)",2019,null,null,null,null,null,null,"Afghanistan","Lupins","AfghanistanLupins",0,0,null,null,null,null,"Angola","Maize","AngolaMaize",2654840.6666666665,2648862.3333333335,null,null,null,null,"Peru","Rice, paddy","PeruRice, paddy",3288137.6666666665,426197.33333333331,null,null,null,null,"Antigua and Barbuda","Sunflower seeds","Antigua and BarbudaSunflower seeds",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Beans, green","AfghanistanBeans, green",2017,null,null,null,null,null,null,"Afghanistan","Maize","AfghanistanMaize",155084.33333333334,100522.66666666667,null,null,null,null,"Angola","Maize, green","AngolaMaize, green",0,0,null,null,null,null,"Philippines","Rice, paddy","PhilippinesRice, paddy",19052422.666666668,4754568,null,null,null,null,"Antigua and Barbuda","Sweet potatoes","Antigua and BarbudaSweet potatoes",204.33333333333334,35]
[null,null,"Afghanistan","Area harvested (ha)","Beans, green","AfghanistanBeans, green",2018,null,null,null,null,null,null,"Afghanistan","Maize, green","AfghanistanMaize, green",0,0,null,null,null,null,"Angola","Mangoes","AngolaMangoes",0,0,null,null,null,null,"Rwanda","Rice, paddy","RwandaRice, paddy",118138.33333333333,32419.666666666668,null,null,null,null,"Antigua and Barbuda","Tomatoes","Antigua and BarbudaTomatoes",342.33333333333331,40.666666666666664]
[null,null,"Afghanistan","Area harvested (ha)","Beans, green","AfghanistanBeans, green",2019,null,null,null,null,null,null,"Afghanistan","Mangoes","AfghanistanMangoes",0,0,null,null,null,null,"Angola","Manila fibre (abaca)","AngolaManila fibre (abaca)",0,0,null,null,null,null,"Saint Kitts and Nevis","Rice, paddy","Saint Kitts and NevisRice, paddy",0,0,null,null,null,null,"Antigua and Barbuda","Wheat","Antigua and BarbudaWheat",0,0]
[null,null,"Afghanistan","Production (t)","Beans, green","AfghanistanBeans, green",2017,null,null,null,null,null,null,"Afghanistan","Manila fibre (abaca)","AfghanistanManila fibre (abaca)",0,0,null,null,null,null,"Angola","Mate","AngolaMate",0,0,null,null,null,null,"Saint Lucia","Rice, paddy","Saint LuciaRice, paddy",0,0,null,null,null,null,"Argentina","Almonds","ArgentinaAlmonds",698.66666666666663,386.33333333333331]
[null,null,"Afghanistan","Production (t)","Beans, green","AfghanistanBeans, green",2018,null,null,null,null,null,null,"Afghanistan","Mate","AfghanistanMate",0,0,null,null,null,null,"Angola","Melons, other (inc.cantaloupes)","AngolaMelons, other (inc.cantaloupes)",0,0,null,null,null,null,"Samoa","Rice, paddy","SamoaRice, paddy",0,0,null,null,null,null,"Argentina","Apples","ArgentinaApples",502342,22083.666666666668]
[null,null,"Afghanistan","Production (t)","Beans, green","AfghanistanBeans, green",2019,null,null,null,null,null,null,"Afghanistan","Melons, other (inc.cantaloupes)","AfghanistanMelons, other (inc.cantaloupes)",465748.33333333331,42446.666666666664,null,null,null,null,"Angola","Melonseed","AngolaMelonseed",0,0,null,null,null,null,"Sao Tome and Principe","Rice, paddy","Sao Tome and PrincipeRice, paddy",0,0,null,null,null,null,"Argentina","Avocados","ArgentinaAvocados",4156,587.33333333333337]
[null,null,"Afghanistan","Area harvested (ha)","Berries nes","AfghanistanBerries nes",2017,"ha",3800,null,null,null,null,"Afghanistan","Melonseed","AfghanistanMelonseed",0,0,null,null,null,null,"Angola","Millet","AngolaMillet",61805.333333333336,266674.66666666669,null,null,null,null,"Senegal","Rice, paddy","SenegalRice, paddy",1124528.6666666667,325055,null,null,null,null,"Argentina","Bananas","ArgentinaBananas",176190.66666666666,8404]
[null,null,"Afghanistan","Area harvested (ha)","Berries nes","AfghanistanBerries nes",2018,"ha",5553,null,null,null,null,"Afghanistan","Millet","AfghanistanMillet",4746.333333333333,2268,null,null,null,null,"Angola","Mushrooms","AngolaMushrooms",0,0,null,null,null,null,"Seychelles","Rice, paddy","SeychellesRice, paddy",0,0,null,null,null,null,"Argentina","Barley","ArgentinaBarley",4501431.666666667,1077047.6666666667]
[null,null,"Afghanistan","Area harvested (ha)","Berries nes","AfghanistanBerries nes",2019,"ha",6117,null,null,null,null,"Afghanistan","Mushrooms","AfghanistanMushrooms",0,0,null,null,null,null,"Angola","Mustard seed","AngolaMustard seed",0,0,null,null,null,null,"Sierra Leone","Rice, paddy","Sierra LeoneRice, paddy",921088,850602.66666666663,null,null,null,null,"Argentina","Beans","ArgentinaBeans (dry)",488569,417158.66666666669]
[null,null,"Afghanistan","Production (t)","Berries nes","AfghanistanBerries nes",2017,"tonnes",21552,null,null,null,null,"Afghanistan","Mustard seed","AfghanistanMustard seed",0,0,null,null,null,null,"Angola","Nutmeg, mace and cardamoms","AngolaNutmeg, mace and cardamoms",0,0,null,null,null,null,"Solomon Islands","Rice, paddy","Solomon IslandsRice, paddy",2739.3333333333335,1433.6666666666667,null,null,null,null,"Argentina","Buckwheat","ArgentinaBuckwheat",0,0]
[null,null,"Afghanistan","Production (t)","Berries nes","AfghanistanBerries nes",2018,"tonnes",29660,null,null,null,null,"Afghanistan","Nutmeg, mace and cardamoms","AfghanistanNutmeg, mace and cardamoms",0,0,null,null,null,null,"Angola","Nuts nes","AngolaNuts nes",0,0,null,null,null,null,"Somalia","Rice, paddy","SomaliaRice, paddy",1475.6666666666667,1117.6666666666667,null,null,null,null,"Argentina","Carrots","ArgentinaCarrots and turnips",293801,9383.3333333333339]
[null,null,"Afghanistan","Production (t)","Berries nes","AfghanistanBerries nes",2019,"tonnes",30620,null,null,null,null,"Afghanistan","Nuts nes","AfghanistanNuts nes",1456.6666666666667,1574,null,null,null,null,"Angola","Oats","AngolaOats",0,0,null,null,null,null,"South Africa","Rice, paddy","South AfricaRice, paddy",3074.6666666666665,1108.3333333333333,null,null,null,null,"Argentina","Cashew nuts","ArgentinaCashew nuts",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Blueberries","AfghanistanBlueberries",2017,null,null,null,null,null,null,"Afghanistan","Oats","AfghanistanOats",0,0,null,null,null,null,"Angola","Oil palm fruit","AngolaOil palm fruit",280693.33333333331,23208,null,null,null,null,"South Sudan","Rice, paddy","South SudanRice, paddy",0,0,null,null,null,null,"Argentina","Cassava","ArgentinaCassava",194484.66666666666,19439]
[null,null,"Afghanistan","Area harvested (ha)","Blueberries","AfghanistanBlueberries",2018,null,null,null,null,null,null,"Afghanistan","Oil palm fruit","AfghanistanOil palm fruit",0,0,null,null,null,null,"Angola","Oilseeds nes","AngolaOilseeds nes",0,0,null,null,null,null,"Sri Lanka","Rice, paddy","Sri LankaRice, paddy",3635013.3333333335,930076.33333333337,null,null,null,null,"Argentina","Chickpeas","ArgentinaChickpeas ",160702.66666666666,85184.666666666672]
[null,null,"Afghanistan","Area harvested (ha)","Blueberries","AfghanistanBlueberries",2019,null,null,null,null,null,null,"Afghanistan","Oilseeds nes","AfghanistanOilseeds nes",0,0,null,null,null,null,"Angola","Okra","AngolaOkra",0,0,null,null,null,null,"Sudan","Rice, paddy","SudanRice, paddy",31333.333333333332,11556.666666666666,null,null,null,null,"Argentina","Cocoa","ArgentinaCocoa, beans",0,0]
[null,null,"Afghanistan","Production (t)","Blueberries","AfghanistanBlueberries",2017,null,null,null,null,null,null,"Afghanistan","Okra","AfghanistanOkra",0,0,null,null,null,null,"Angola","Olives","AngolaOlives",0,0,null,null,null,null,"Tajikistan","Rice, paddy","TajikistanRice, paddy",98217,12248.666666666666,null,null,null,null,"Argentina","Coffee","ArgentinaCoffee, green",0,0]
[null,null,"Afghanistan","Production (t)","Blueberries","AfghanistanBlueberries",2018,null,null,null,null,null,null,"Afghanistan","Olives","AfghanistanOlives",8457.6666666666661,2234,null,null,null,null,"Angola","Onions, dry","AngolaOnions, dry",0,0,null,null,null,null,"Thailand","Rice, paddy","ThailandRice, paddy",31288321.666666668,10393417.666666666,null,null,null,null,"Argentina","Cotton","ArgentinaCotton",767524.33333333337,301830.33333333331]
[null,null,"Afghanistan","Production (t)","Blueberries","AfghanistanBlueberries",2019,null,null,null,null,null,null,"Afghanistan","Onions, dry","AfghanistanOnions, dry",239660.66666666666,15538.333333333334,null,null,null,null,"Angola","Onions, shallots, green","AngolaOnions, shallots, green",27149.333333333332,12886,null,null,null,null,"Timor-Leste","Rice, paddy","Timor-LesteRice, paddy",67701.666666666672,21023.333333333332,null,null,null,null,"Argentina","Garlic (green)","ArgentinaGarlic (green)",146690.33333333334,15209.333333333334]
[null,null,"Afghanistan","Area harvested (ha)","Brazil nuts, with shell","AfghanistanBrazil nuts, with shell",2017,null,null,null,null,null,null,"Afghanistan","Onions, shallots, green","AfghanistanOnions, shallots, green",0,0,null,null,null,null,"Angola","Oranges","AngolaOranges",0,0,null,null,null,null,"Togo","Rice, paddy","TogoRice, paddy",144353.66666666666,86959.333333333328,null,null,null,null,"Argentina","Ginger","ArgentinaGinger",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Brazil nuts, with shell","AfghanistanBrazil nuts, with shell",2018,null,null,null,null,null,null,"Afghanistan","Oranges","AfghanistanOranges",5288.666666666667,913.66666666666663,null,null,null,null,"Angola","Papayas","AngolaPapayas",0,0,null,null,null,null,"Tonga","Rice, paddy","TongaRice, paddy",0,0,null,null,null,null,"Argentina","Grapes","ArgentinaGrapes",2352801,218083.33333333334]
[null,null,"Afghanistan","Area harvested (ha)","Brazil nuts, with shell","AfghanistanBrazil nuts, with shell",2019,null,null,null,null,null,null,"Afghanistan","Papayas","AfghanistanPapayas",0,0,null,null,null,null,"Angola","Peaches and nectarines","AngolaPeaches and nectarines",0,0,null,null,null,null,"Trinidad and Tobago","Rice, paddy","Trinidad and TobagoRice, paddy",927,1416,null,null,null,null,"Argentina","Peanuts","ArgentinaPeanuts",1096514,388309.33333333331]
[null,null,"Afghanistan","Production (t)","Brazil nuts, with shell","AfghanistanBrazil nuts, with shell",2017,null,null,null,null,null,null,"Afghanistan","Peaches and nectarines","AfghanistanPeaches and nectarines",57120.666666666664,7780,null,null,null,null,"Angola","Pears","AngolaPears",0,0,null,null,null,null,"Turkey","Rice, paddy","TurkeyRice, paddy",946666.66666666663,118687,null,null,null,null,"Argentina","Lemons","ArgentinaLemons",1848853,55944.333333333336]
[null,null,"Afghanistan","Production (t)","Brazil nuts, with shell","AfghanistanBrazil nuts, with shell",2018,null,null,null,null,null,null,"Afghanistan","Pears","AfghanistanPears",7851.333333333333,1986.3333333333333,null,null,null,null,"Angola","Peas (dry)","AngolaPeas (dry)",0,0,null,null,null,null,"Tuvalu","Rice, paddy","TuvaluRice, paddy",0,0,null,null,null,null,"Argentina","Lentils","ArgentinaLentils",21384.333333333332,17644.666666666668]
[null,null,"Afghanistan","Production (t)","Brazil nuts, with shell","AfghanistanBrazil nuts, with shell",2019,null,null,null,null,null,null,"Afghanistan","Peas (dry)","AfghanistanPeas (dry)",0,0,null,null,null,null,"Angola","Peas, green","AngolaPeas, green",0,0,null,null,null,null,"Uganda","Rice, paddy","UgandaRice, paddy",214313.33333333334,77268,null,null,null,null,"Argentina","Lettuce","ArgentinaLettuce",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Broad beans, horse Beans (dry)","AfghanistanBroad beans, horse Beans (dry)",2017,null,null,null,null,null,null,"Afghanistan","Peas, green","AfghanistanPeas, green",0,0,null,null,null,null,"Angola","Peppers","AngolaPeppers",0,0,null,null,null,null,"Ukraine","Rice, paddy","UkraineRice, paddy",62573.333333333336,11933.333333333334,null,null,null,null,"Argentina","Maize","ArgentinaMaize",49932974,6967351.333333333]
[null,null,"Afghanistan","Area harvested (ha)","Broad beans, horse Beans (dry)","AfghanistanBroad beans, horse Beans (dry)",2018,null,null,null,null,null,null,"Afghanistan","Peppers","AfghanistanPeppers",0,0,null,null,null,null,"Angola","Peppermint","AngolaPeppermint",0,0,null,null,null,null,"United Republic of Tanzania","Rice, paddy","United Republic of TanzaniaRice, paddy",3113762.6666666665,1060910.6666666667,null,null,null,null,"Argentina","Mangoes","ArgentinaMangoes",2195.6666666666665,273.33333333333331]
[null,null,"Afghanistan","Area harvested (ha)","Broad beans, horse Beans (dry)","AfghanistanBroad beans, horse Beans (dry)",2019,null,null,null,null,null,null,"Afghanistan","Peppermint","AfghanistanPeppermint",0,0,null,null,null,null,"Angola","Persimmons","AngolaPersimmons",0,0,null,null,null,null,"Uruguay","Rice, paddy","UruguayRice, paddy",1285527.3333333333,157285.66666666666,null,null,null,null,"Argentina","Millet","ArgentinaMillet",3907.3333333333335,2252.6666666666665]
[null,null,"Afghanistan","Production (t)","Broad beans, horse Beans (dry)","AfghanistanBroad beans, horse Beans (dry)",2017,null,null,null,null,null,null,"Afghanistan","Persimmons","AfghanistanPersimmons",0,0,null,null,null,null,"Angola","Pigeon peas","AngolaPigeon peas",0,0,null,null,null,null,"Uzbekistan","Rice, paddy","UzbekistanRice, paddy",310390,59451,null,null,null,null,"Argentina","Mushrooms","ArgentinaMushrooms",0,0]
[null,null,"Afghanistan","Production (t)","Broad beans, horse Beans (dry)","AfghanistanBroad beans, horse Beans (dry)",2018,null,null,null,null,null,null,"Afghanistan","Pigeon peas","AfghanistanPigeon peas",0,0,null,null,null,null,"Angola","Pineapples","AngolaPineapples",594573,45221.333333333336,null,null,null,null,"Vanuatu","Rice, paddy","VanuatuRice, paddy",0,0,null,null,null,null,"Argentina","Oats","ArgentinaOats",616108,259206.33333333334]
[null,null,"Afghanistan","Production (t)","Broad beans, horse Beans (dry)","AfghanistanBroad beans, horse Beans (dry)",2019,null,null,null,null,null,null,"Afghanistan","Pineapples","AfghanistanPineapples",0,0,null,null,null,null,"Angola","Pistachios","AngolaPistachios",0,0,null,null,null,null,"Venezuela (Bolivarian Republic of)","Rice, paddy","Venezuela (Bolivarian Republic of)Rice, paddy",601525.66666666663,163188,null,null,null,null,"Argentina","Onions, dry","ArgentinaOnions, dry",641819.66666666663,25266.666666666668]
[null,null,"Afghanistan","Area harvested (ha)","Buckwheat","AfghanistanBuckwheat",2017,null,null,null,null,null,null,"Afghanistan","Pistachios","AfghanistanPistachios",2762,2195.6666666666665,null,null,null,null,"Angola","Plantains and others","AngolaPlantains and others",0,0,null,null,null,null,"Viet Nam","Rice, paddy","Viet NamRice, paddy",43435140,7576939.666666667,null,null,null,null,"Argentina","Oranges","ArgentinaOranges",1019547,46209]
[null,null,"Afghanistan","Area harvested (ha)","Buckwheat","AfghanistanBuckwheat",2018,null,null,null,null,null,null,"Afghanistan","Plantains and others","AfghanistanPlantains and others",0,0,null,null,null,null,"Angola","Plums and sloes","AngolaPlums and sloes",0,0,null,null,null,null,"Yemen","Rice, paddy","YemenRice, paddy",0,0,null,null,null,null,"Argentina","Peas (dry)","ArgentinaPeas (dry)",124790.33333333333,65375]
[null,null,"Afghanistan","Area harvested (ha)","Buckwheat","AfghanistanBuckwheat",2019,null,null,null,null,null,null,"Afghanistan","Plums and sloes","AfghanistanPlums and sloes",34745,3867.6666666666665,null,null,null,null,"Angola","Poppy seed","AngolaPoppy seed",0,0,null,null,null,null,"Zambia","Rice, paddy","ZambiaRice, paddy",37023.333333333336,28149.333333333332,null,null,null,null,"Argentina","Peppers","ArgentinaPeppers",0,0]
[null,null,"Afghanistan","Production (t)","Buckwheat","AfghanistanBuckwheat",2017,null,null,null,null,null,null,"Afghanistan","Poppy seed","AfghanistanPoppy seed",0,0,null,null,null,null,"Angola","Potatoes","AngolaPotatoes",458217.33333333331,63930.333333333336,null,null,null,null,"Zimbabwe","Rice, paddy","ZimbabweRice, paddy",1336,4067.6666666666665,null,null,null,null,"Argentina","Pineapples","ArgentinaPineapples",3266.3333333333335,178]
[null,null,"Afghanistan","Production (t)","Buckwheat","AfghanistanBuckwheat",2018,null,null,null,null,null,null,"Afghanistan","Potatoes","AfghanistanPotatoes",683333.33333333337,40527.333333333336,null,null,null,null,"Angola","Pulses nes","AngolaPulses nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Argentina","Potatoes","ArgentinaPotatoes",2426526,75793]
[null,null,"Afghanistan","Production (t)","Buckwheat","AfghanistanBuckwheat",2019,null,null,null,null,null,null,"Afghanistan","Pulses nes","AfghanistanPulses nes",40317,60174.333333333336,null,null,null,null,"Angola","Pumpkins, squash and gourds","AngolaPumpkins, squash and gourds",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Argentina","Quinoa","ArgentinaQuinoa",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cabbages and other brassicas","AfghanistanCabbages and other brassicas",2017,null,null,null,null,null,null,"Afghanistan","Pumpkins, squash and gourds","AfghanistanPumpkins, squash and gourds",0,0,null,null,null,null,"Angola","Pyrethrum, dried","AngolaPyrethrum, dried",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Argentina","Rapeseed","ArgentinaRapeseed",41659.333333333336,20574.666666666668]
[null,null,"Afghanistan","Area harvested (ha)","Cabbages and other brassicas","AfghanistanCabbages and other brassicas",2018,null,null,null,null,null,null,"Afghanistan","Pyrethrum, dried","AfghanistanPyrethrum, dried",0,0,null,null,null,null,"Angola","Quinces","AngolaQuinces",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Argentina","Rye","ArgentinaRye",83824.666666666672,45081.666666666664]
[null,null,"Afghanistan","Area harvested (ha)","Cabbages and other brassicas","AfghanistanCabbages and other brassicas",2019,null,null,null,null,null,null,"Afghanistan","Quinces","AfghanistanQuinces",0,0,null,null,null,null,"Angola","Quinoa","AngolaQuinoa",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Argentina","Sesame seed","ArgentinaSesame seed",0,0]
[null,null,"Afghanistan","Production (t)","Cabbages and other brassicas","AfghanistanCabbages and other brassicas",2017,null,null,null,null,null,null,"Afghanistan","Quinoa","AfghanistanQuinoa",0,0,null,null,null,null,"Angola","Ramie","AngolaRamie",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Argentina","Sorghum","ArgentinaSorghum",1897270.3333333333,440680.33333333331]
[null,null,"Afghanistan","Production (t)","Cabbages and other brassicas","AfghanistanCabbages and other brassicas",2018,null,null,null,null,null,null,"Afghanistan","Ramie","AfghanistanRamie",0,0,null,null,null,null,"Angola","Rapeseed","AngolaRapeseed",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Argentina","Soybeans","ArgentinaSoybeans",49341148,16743016.333333334]
[null,null,"Afghanistan","Production (t)","Cabbages and other brassicas","AfghanistanCabbages and other brassicas",2019,null,null,null,null,null,null,"Afghanistan","Rapeseed","AfghanistanRapeseed",0,0,null,null,null,null,"Angola","Raspberries","AngolaRaspberries",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Argentina","Sugar cane","ArgentinaSugar cane",18967649.333333332,450940.33333333331]
[null,null,"Afghanistan","Area harvested (ha)","Canary seed","AfghanistanCanary seed",2017,null,null,null,null,null,null,"Afghanistan","Raspberries","AfghanistanRaspberries",0,0,null,null,null,null,"Angola","Rice, paddy","AngolaRice, paddy",9742.3333333333339,9265.3333333333339,null,null,null,null,null,null,null,null,null,null,null,null,null,"Argentina","Sunflower seeds","ArgentinaSunflower seeds",3636667.3333333335,1791004.6666666667]
[null,null,"Afghanistan","Area harvested (ha)","Canary seed","AfghanistanCanary seed",2018,null,null,null,null,null,null,"Afghanistan","Rice, paddy","AfghanistanRice, paddy",357699,118173.66666666667,null,null,null,null,"Angola","Roots and tubers nes","AngolaRoots and tubers nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Argentina","Sweet potatoes","ArgentinaSweet potatoes",337728.33333333331,22561.333333333332]
[null,null,"Afghanistan","Area harvested (ha)","Canary seed","AfghanistanCanary seed",2019,null,null,null,null,null,null,"Afghanistan","Roots and tubers nes","AfghanistanRoots and tubers nes",0,0,null,null,null,null,"Angola","Rubber, natural","AngolaRubber, natural",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Argentina","Tomatoes","ArgentinaTomatoes",658646.33333333337,16684]
[null,null,"Afghanistan","Production (t)","Canary seed","AfghanistanCanary seed",2017,null,null,null,null,null,null,"Afghanistan","Rubber, natural","AfghanistanRubber, natural",0,0,null,null,null,null,"Angola","Rye","AngolaRye",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Argentina","Wheat","ArgentinaWheat",18790959.333333332,5813170.333333333]
[null,null,"Afghanistan","Production (t)","Canary seed","AfghanistanCanary seed",2018,null,null,null,null,null,null,"Afghanistan","Rye","AfghanistanRye",0,0,null,null,null,null,"Angola","Safflower seed","AngolaSafflower seed",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Almonds","BahamasAlmonds",0,0]
[null,null,"Afghanistan","Production (t)","Canary seed","AfghanistanCanary seed",2019,null,null,null,null,null,null,"Afghanistan","Safflower seed","AfghanistanSafflower seed",0,0,null,null,null,null,"Angola","Cotton","AngolaCotton",5463.666666666667,2977.3333333333335,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Apples","BahamasApples",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Carobs","AfghanistanCarobs",2017,null,null,null,null,null,null,"Afghanistan","Sesame seed","AfghanistanSesame seed",32379.666666666668,33693.666666666664,null,null,null,null,"Angola","Sesame seed","AngolaSesame seed",3152,12098,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Avocados","BahamasAvocados",1340,106]
[null,null,"Afghanistan","Area harvested (ha)","Carobs","AfghanistanCarobs",2018,null,null,null,null,null,null,"Afghanistan","Sisal","AfghanistanSisal",0,0,null,null,null,null,"Angola","Sisal","AngolaSisal",578.66666666666663,534.66666666666663,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Bananas","BahamasBananas",9927.6666666666661,434.66666666666669]
[null,null,"Afghanistan","Area harvested (ha)","Carobs","AfghanistanCarobs",2019,null,null,null,null,null,null,"Afghanistan","Sorghum","AfghanistanSorghum",0,0,null,null,null,null,"Angola","Sorghum","AngolaSorghum",35169.333333333336,146756,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Barley","BahamasBarley",0,0]
[null,null,"Afghanistan","Production (t)","Carobs","AfghanistanCarobs",2017,null,null,null,null,null,null,"Afghanistan","Soybeans","AfghanistanSoybeans",0,0,null,null,null,null,"Angola","Soybeans","AngolaSoybeans",36205.666666666664,37241.333333333336,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Beans","BahamasBeans (dry)",0,0]
[null,null,"Afghanistan","Production (t)","Carobs","AfghanistanCarobs",2018,null,null,null,null,null,null,"Afghanistan","Spices nes","AfghanistanSpices nes",3,2138,null,null,null,null,"Angola","Spices nes","AngolaSpices nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Buckwheat","BahamasBuckwheat",0,0]
[null,null,"Afghanistan","Production (t)","Carobs","AfghanistanCarobs",2019,null,null,null,null,null,null,"Afghanistan","Spinach","AfghanistanSpinach",0,0,null,null,null,null,"Angola","Spinach","AngolaSpinach",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Carrots","BahamasCarrots and turnips",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Carrots","AfghanistanCarrots and turnips",2017,null,null,null,null,null,null,"Afghanistan","Strawberries","AfghanistanStrawberries",0,0,null,null,null,null,"Angola","Strawberries","AngolaStrawberries",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Cashew nuts","BahamasCashew nuts",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Carrots","AfghanistanCarrots and turnips",2018,null,null,null,null,null,null,"Afghanistan","String beans","AfghanistanString beans",0,0,null,null,null,null,"Angola","String beans","AngolaString beans",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Cassava","BahamasCassava",833.66666666666663,34.333333333333336]
[null,null,"Afghanistan","Area harvested (ha)","Carrots","AfghanistanCarrots and turnips",2019,null,null,null,null,null,null,"Afghanistan","Sugar beet","AfghanistanSugar beet",5583,337.66666666666669,null,null,null,null,"Angola","Sugar beet","AngolaSugar beet",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Chickpeas","BahamasChickpeas ",0,0]
[null,null,"Afghanistan","Production (t)","Carrots","AfghanistanCarrots and turnips",2017,null,null,null,null,null,null,"Afghanistan","Sugar cane","AfghanistanSugar cane",31894.666666666668,1521.3333333333333,null,null,null,null,"Angola","Sugar cane","AngolaSugar cane",655520.66666666663,16801.666666666668,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Cocoa","BahamasCocoa, beans",0,0]
[null,null,"Afghanistan","Production (t)","Carrots","AfghanistanCarrots and turnips",2018,null,null,null,null,null,null,"Afghanistan","Sugar crops nes","AfghanistanSugar crops nes",0,0,null,null,null,null,"Angola","Sugar crops nes","AngolaSugar crops nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Coffee","BahamasCoffee, green",0,0]
[null,null,"Afghanistan","Production (t)","Carrots","AfghanistanCarrots and turnips",2019,null,null,null,null,null,null,"Afghanistan","Sunflower seeds","AfghanistanSunflower seeds",800.33333333333337,724,null,null,null,null,"Angola","Sunflower seeds","AngolaSunflower seeds",11993.666666666666,16933.666666666668,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Cotton","BahamasCotton",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cashew nuts","AfghanistanCashew nuts",2017,null,null,null,null,null,null,"Afghanistan","Sweet potatoes","AfghanistanSweet potatoes",0,0,null,null,null,null,"Angola","Sweet potatoes","AngolaSweet potatoes",1688098.3333333333,184553,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Garlic (green)","BahamasGarlic (green)",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cashew nuts","AfghanistanCashew nuts",2018,null,null,null,null,null,null,"Afghanistan","Tallowtree seed","AfghanistanTallowtree seed",0,0,null,null,null,null,"Angola","Tallowtree seed","AngolaTallowtree seed",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Ginger","BahamasGinger",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cashew nuts","AfghanistanCashew nuts",2019,null,null,null,null,null,null,"Afghanistan","Tangerines, mandarins, clementines, satsumas","AfghanistanTangerines, mandarins, clementines, satsumas",0,0,null,null,null,null,"Angola","Tangerines, mandarins, clementines, satsumas","AngolaTangerines, mandarins, clementines, satsumas",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Grapes","BahamasGrapes",0,0]
[null,null,"Afghanistan","Production (t)","Cashew nuts","AfghanistanCashew nuts",2017,null,null,null,null,null,null,"Afghanistan","Taro (cocoyam)","AfghanistanTaro (cocoyam)",0,0,null,null,null,null,"Angola","Taro (cocoyam)","AngolaTaro (cocoyam)",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Peanuts","BahamasPeanuts",0,0]
[null,null,"Afghanistan","Production (t)","Cashew nuts","AfghanistanCashew nuts",2018,null,null,null,null,null,null,"Afghanistan","Tea","AfghanistanTea",0,0,null,null,null,null,"Angola","Tea","AngolaTea",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Lemons","BahamasLemons",2186,212.33333333333334]
[null,null,"Afghanistan","Production (t)","Cashew nuts","AfghanistanCashew nuts",2019,null,null,null,null,null,null,"Afghanistan","Tobacco, unmanufactured","AfghanistanTobacco, unmanufactured",0,0,null,null,null,null,"Angola","Tobacco, unmanufactured","AngolaTobacco, unmanufactured",2922.6666666666665,2842,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Lentils","BahamasLentils",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cashewapple","AfghanistanCashewapple",2017,null,null,null,null,null,null,"Afghanistan","Tomatoes","AfghanistanTomatoes",0,0,null,null,null,null,"Angola","Tomatoes","AngolaTomatoes",16594,6242.666666666667,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Lettuce","BahamasLettuce",123.33333333333333,9]
[null,null,"Afghanistan","Area harvested (ha)","Cashewapple","AfghanistanCashewapple",2018,null,null,null,null,null,null,"Afghanistan","Triticale","AfghanistanTriticale",0,0,null,null,null,null,"Angola","Triticale","AngolaTriticale",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Maize","BahamasMaize",643,82]
[null,null,"Afghanistan","Area harvested (ha)","Cashewapple","AfghanistanCashewapple",2019,null,null,null,null,null,null,"Afghanistan","Tung nuts","AfghanistanTung nuts",0,0,null,null,null,null,"Angola","Tung nuts","AngolaTung nuts",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Mangoes","BahamasMangoes",2594.3333333333335,145]
[null,null,"Afghanistan","Production (t)","Cashewapple","AfghanistanCashewapple",2017,null,null,null,null,null,null,"Afghanistan","Vanilla","AfghanistanVanilla",0,0,null,null,null,null,"Angola","Vanilla","AngolaVanilla",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Millet","BahamasMillet",0,0]
[null,null,"Afghanistan","Production (t)","Cashewapple","AfghanistanCashewapple",2018,null,null,null,null,null,null,"Afghanistan","Vegetables, fresh nes","AfghanistanVegetables, fresh nes",830560.33333333337,92226,null,null,null,null,"Angola","Vegetables, fresh nes","AngolaVegetables, fresh nes",361534.66666666669,61048.666666666664,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Mushrooms","BahamasMushrooms",0,0]
[null,null,"Afghanistan","Production (t)","Cashewapple","AfghanistanCashewapple",2019,null,null,null,null,null,null,"Afghanistan","Vegetables, leguminous nes","AfghanistanVegetables, leguminous nes",0,0,null,null,null,null,"Angola","Vegetables, leguminous nes","AngolaVegetables, leguminous nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Oats","BahamasOats",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cassava","AfghanistanCassava",2017,null,null,null,null,null,null,"Afghanistan","Vetches","AfghanistanVetches",0,0,null,null,null,null,"Angola","Vetches","AngolaVetches",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Onions, dry","BahamasOnions, dry",830.66666666666663,115]
[null,null,"Afghanistan","Area harvested (ha)","Cassava","AfghanistanCassava",2018,null,null,null,null,null,null,"Afghanistan","Walnuts, with shell","AfghanistanWalnuts, with shell",10879.666666666666,4806.333333333333,null,null,null,null,"Angola","Walnuts, with shell","AngolaWalnuts, with shell",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Oranges","BahamasOranges",3679,161.66666666666666]
[null,null,"Afghanistan","Area harvested (ha)","Cassava","AfghanistanCassava",2019,null,null,null,null,null,null,"Afghanistan","Watermelons","AfghanistanWatermelons",671153,45999.333333333336,null,null,null,null,"Angola","Watermelons","AngolaWatermelons",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Peas (dry)","BahamasPeas (dry)",0,0]
[null,null,"Afghanistan","Production (t)","Cassava","AfghanistanCassava",2017,null,null,null,null,null,null,"Afghanistan","Wheat","AfghanistanWheat",4261358.666666667,2024459,null,null,null,null,"Angola","Wheat","AngolaWheat",2954.6666666666665,3289,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Peppers","BahamasPeppers",0,0]
[null,null,"Afghanistan","Production (t)","Cassava","AfghanistanCassava",2018,null,null,null,null,null,null,"Afghanistan","Yams","AfghanistanYams",0,0,null,null,null,null,"Angola","Yams","AngolaYams",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Pineapples","BahamasPineapples",0,0]
[null,null,"Afghanistan","Production (t)","Cassava","AfghanistanCassava",2019,null,null,null,null,null,null,"Afghanistan","Yautia (cocoyam)","AfghanistanYautia (cocoyam)",0,0,null,null,null,null,"Angola","Yautia (cocoyam)","AngolaYautia (cocoyam)",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Potatoes","BahamasPotatoes",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cassava leaves","AfghanistanCassava leaves",2017,null,null,null,null,null,null,"Albania","Agave fibres nes","AlbaniaAgave fibres nes",0,0,null,null,null,null,"Antigua and Barbuda","Agave fibres nes","Antigua and BarbudaAgave fibres nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Quinoa","BahamasQuinoa",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cassava leaves","AfghanistanCassava leaves",2018,null,null,null,null,null,null,"Albania","Almonds","AlbaniaAlmonds",0,0,null,null,null,null,"Antigua and Barbuda","Almonds","Antigua and BarbudaAlmonds",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Rapeseed","BahamasRapeseed",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cassava leaves","AfghanistanCassava leaves",2019,null,null,null,null,null,null,"Albania","Anise, badian, fennel, coriander","AlbaniaAnise, badian, fennel, coriander",0,0,null,null,null,null,"Antigua and Barbuda","Anise, badian, fennel, coriander","Antigua and BarbudaAnise, badian, fennel, coriander",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Rye","BahamasRye",0,0]
[null,null,"Afghanistan","Production (t)","Cassava leaves","AfghanistanCassava leaves",2017,null,null,null,null,null,null,"Albania","Apples","AlbaniaApples",103548.66666666667,4349,null,null,null,null,"Antigua and Barbuda","Apples","Antigua and BarbudaApples",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Sesame seed","BahamasSesame seed",0,0]
[null,null,"Afghanistan","Production (t)","Cassava leaves","AfghanistanCassava leaves",2018,null,null,null,null,null,null,"Albania","Apricots","AlbaniaApricots",5018,334.66666666666669,null,null,null,null,"Antigua and Barbuda","Apricots","Antigua and BarbudaApricots",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Sorghum","BahamasSorghum",0,0]
[null,null,"Afghanistan","Production (t)","Cassava leaves","AfghanistanCassava leaves",2019,null,null,null,null,null,null,"Albania","Areca nuts","AlbaniaAreca nuts",0,0,null,null,null,null,"Antigua and Barbuda","Areca nuts","Antigua and BarbudaAreca nuts",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Soybeans","BahamasSoybeans",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Castor oil seed","AfghanistanCastor oil seed",2017,null,null,null,null,null,null,"Albania","Artichokes","AlbaniaArtichokes",0,0,null,null,null,null,"Antigua and Barbuda","Artichokes","Antigua and BarbudaArtichokes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Sugar cane","BahamasSugar cane",61045,2450.6666666666665]
[null,null,"Afghanistan","Area harvested (ha)","Castor oil seed","AfghanistanCastor oil seed",2018,null,null,null,null,null,null,"Albania","Asparagus","AlbaniaAsparagus",0,0,null,null,null,null,"Antigua and Barbuda","Asparagus","Antigua and BarbudaAsparagus",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Sunflower seeds","BahamasSunflower seeds",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Castor oil seed","AfghanistanCastor oil seed",2019,null,null,null,null,null,null,"Albania","Avocados","AlbaniaAvocados",0,0,null,null,null,null,"Antigua and Barbuda","Avocados","Antigua and BarbudaAvocados",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Sweet potatoes","BahamasSweet potatoes",1772.3333333333333,506]
[null,null,"Afghanistan","Production (t)","Castor oil seed","AfghanistanCastor oil seed",2017,null,null,null,null,null,null,"Albania","Bambara beans","AlbaniaBambara beans",0,0,null,null,null,null,"Antigua and Barbuda","Bambara beans","Antigua and BarbudaBambara beans",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Tomatoes","BahamasTomatoes",7242,130]
[null,null,"Afghanistan","Production (t)","Castor oil seed","AfghanistanCastor oil seed",2018,null,null,null,null,null,null,"Albania","Bananas","AlbaniaBananas",0,0,null,null,null,null,"Antigua and Barbuda","Bananas","Antigua and BarbudaBananas",177.66666666666666,48,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bahamas","Wheat","BahamasWheat",0,0]
[null,null,"Afghanistan","Production (t)","Castor oil seed","AfghanistanCastor oil seed",2019,null,null,null,null,null,null,"Albania","Barley","AlbaniaBarley",8877.3333333333339,3068,null,null,null,null,"Antigua and Barbuda","Barley","Antigua and BarbudaBarley",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Almonds","BangladeshAlmonds",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cauliflowers and broccoli","AfghanistanCauliflowers and broccoli",2017,null,null,null,null,null,null,"Albania","Bastfibres, other","AlbaniaBastfibres, other",0,0,null,null,null,null,"Antigua and Barbuda","Bastfibres, other","Antigua and BarbudaBastfibres, other",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Apples","BangladeshApples",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cauliflowers and broccoli","AfghanistanCauliflowers and broccoli",2018,null,null,null,null,null,null,"Albania","Beans","AlbaniaBeans (dry)",23508,13321.333333333334,null,null,null,null,"Antigua and Barbuda","Beans (dry)","Antigua and BarbudaBeans (dry)",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Avocados","BangladeshAvocados",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cauliflowers and broccoli","AfghanistanCauliflowers and broccoli",2019,null,null,null,null,null,null,"Albania","Beans, green","AlbaniaBeans, green",11490.333333333334,903.33333333333337,null,null,null,null,"Antigua and Barbuda","Beans, green","Antigua and BarbudaBeans, green",103.66666666666667,26,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Bananas","BangladeshBananas",816920,48872.333333333336]
[null,null,"Afghanistan","Production (t)","Cauliflowers and broccoli","AfghanistanCauliflowers and broccoli",2017,null,null,null,null,null,null,"Albania","Berries nes","AlbaniaBerries nes",0,0,null,null,null,null,"Antigua and Barbuda","Berries nes","Antigua and BarbudaBerries nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Barley","BangladeshBarley",229.33333333333334,273.66666666666669]
[null,null,"Afghanistan","Production (t)","Cauliflowers and broccoli","AfghanistanCauliflowers and broccoli",2018,null,null,null,null,null,null,"Albania","Blueberries","AlbaniaBlueberries",0,0,null,null,null,null,"Antigua and Barbuda","Blueberries","Antigua and BarbudaBlueberries",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Beans","BangladeshBeans (dry)",75242,84040]
[null,null,"Afghanistan","Production (t)","Cauliflowers and broccoli","AfghanistanCauliflowers and broccoli",2019,null,null,null,null,null,null,"Albania","Brazil nuts, with shell","AlbaniaBrazil nuts, with shell",0,0,null,null,null,null,"Antigua and Barbuda","Brazil nuts, with shell","Antigua and BarbudaBrazil nuts, with shell",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Buckwheat","BangladeshBuckwheat",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cereals nes","AfghanistanCereals nes",2017,null,null,null,null,null,null,"Albania","Broad beans, horse Beans (dry)","AlbaniaBroad beans, horse Beans (dry)",207.33333333333334,166.33333333333334,null,null,null,null,"Antigua and Barbuda","Broad beans, horse Beans (dry)","Antigua and BarbudaBroad beans, horse Beans (dry)",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Carrots","BangladeshCarrots and turnips",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cereals nes","AfghanistanCereals nes",2018,null,null,null,null,null,null,"Albania","Buckwheat","AlbaniaBuckwheat",0,0,null,null,null,null,"Antigua and Barbuda","Buckwheat","Antigua and BarbudaBuckwheat",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Cashew nuts","BangladeshCashew nuts",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cereals nes","AfghanistanCereals nes",2019,null,null,null,null,null,null,"Albania","Cabbages and other brassicas","AlbaniaCabbages and other brassicas",58622.666666666664,1856.3333333333333,null,null,null,null,"Antigua and Barbuda","Cabbages and other brassicas","Antigua and BarbudaCabbages and other brassicas",84.666666666666671,28.333333333333332,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Cassava","BangladeshCassava",0,0]
[null,null,"Afghanistan","Production (t)","Cereals nes","AfghanistanCereals nes",2017,null,null,null,null,null,null,"Albania","Canary seed","AlbaniaCanary seed",0,0,null,null,null,null,"Antigua and Barbuda","Canary seed","Antigua and BarbudaCanary seed",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Chickpeas","BangladeshChickpeas ",5516,5252]
[null,null,"Afghanistan","Production (t)","Cereals nes","AfghanistanCereals nes",2018,null,null,null,null,null,null,"Albania","Carobs","AlbaniaCarobs",0,0,null,null,null,null,"Antigua and Barbuda","Carobs","Antigua and BarbudaCarobs",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Cocoa","BangladeshCocoa, beans",0,0]
[null,null,"Afghanistan","Production (t)","Cereals nes","AfghanistanCereals nes",2019,null,null,null,null,null,null,"Albania","Carrots","AlbaniaCarrots and turnips",11927,375.33333333333331,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,null,null,null,null,"Bangladesh","Coffee","BangladeshCoffee, green",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cherries","AfghanistanCherries",2017,null,null,null,null,null,null,"Albania","Cashew nuts","AlbaniaCashew nuts",0,0,null,null,null,null,"Antigua and Barbuda","Cashew nuts","Antigua and BarbudaCashew nuts",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Cotton","BangladeshCotton",110000,31872.666666666668]
[null,null,"Afghanistan","Area harvested (ha)","Cherries","AfghanistanCherries",2018,null,null,null,null,null,null,"Albania","Cashewapple","AlbaniaCashewapple",0,0,null,null,null,null,"Antigua and Barbuda","Cashewapple","Antigua and BarbudaCashewapple",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Garlic (green)","BangladeshGarlic (green)",451253.33333333331,69801.333333333328]
[null,null,"Afghanistan","Area harvested (ha)","Cherries","AfghanistanCherries",2019,null,null,null,null,null,null,"Albania","Cassava","AlbaniaCassava",0,0,null,null,null,null,"Antigua and Barbuda","Cassava","Antigua and BarbudaCassava",104.66666666666667,18,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Ginger","BangladeshGinger",79050,9508.6666666666661]
[null,null,"Afghanistan","Production (t)","Cherries","AfghanistanCherries",2017,null,null,null,null,null,null,"Albania","Cassava leaves","AlbaniaCassava leaves",0,0,null,null,null,null,"Antigua and Barbuda","Cassava leaves","Antigua and BarbudaCassava leaves",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Grapes","BangladeshGrapes",0,0]
[null,null,"Afghanistan","Production (t)","Cherries","AfghanistanCherries",2018,null,null,null,null,null,null,"Albania","Castor oil seed","AlbaniaCastor oil seed",0,0,null,null,null,null,"Antigua and Barbuda","Castor oil seed","Antigua and BarbudaCastor oil seed",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Peanuts","BangladeshPeanuts",65240,36735.333333333336]
[null,null,"Afghanistan","Production (t)","Cherries","AfghanistanCherries",2019,null,null,null,null,null,null,"Albania","Cauliflowers and broccoli","AlbaniaCauliflowers and broccoli",5950,269,null,null,null,null,"Antigua and Barbuda","Cauliflowers and broccoli","Antigua and BarbudaCauliflowers and broccoli",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Lemons","BangladeshLemons",67762,35987.333333333336]
[null,null,"Afghanistan","Area harvested (ha)","Cherries, sour","AfghanistanCherries, sour",2017,null,null,null,null,null,null,"Albania","Cereals nes","AlbaniaCereals nes",0,0,null,null,null,null,"Antigua and Barbuda","Cereals nes","Antigua and BarbudaCereals nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Lentils","BangladeshLentils",173618,151042.33333333334]
[null,null,"Afghanistan","Area harvested (ha)","Cherries, sour","AfghanistanCherries, sour",2018,null,null,null,null,null,null,"Albania","Cherries","AlbaniaCherries",19353.333333333332,2132.6666666666665,null,null,null,null,"Antigua and Barbuda","Cherries","Antigua and BarbudaCherries",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Lettuce","BangladeshLettuce",41288.333333333336,7443.666666666667]
[null,null,"Afghanistan","Area harvested (ha)","Cherries, sour","AfghanistanCherries, sour",2019,null,null,null,null,null,null,"Albania","Cherries, sour","AlbaniaCherries, sour",17246.333333333332,3159,null,null,null,null,"Antigua and Barbuda","Cherries, sour","Antigua and BarbudaCherries, sour",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Maize","BangladeshMaize",3294271.6666666665,411818.33333333331]
[null,null,"Afghanistan","Production (t)","Cherries, sour","AfghanistanCherries, sour",2017,null,null,null,null,null,null,"Albania","Chestnut","AlbaniaChestnut",5771.333333333333,2372.6666666666665,null,null,null,null,"Antigua and Barbuda","Chestnut","Antigua and BarbudaChestnut",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Mangoes","BangladeshMangoes",1460443.3333333333,76541.333333333328]
[null,null,"Afghanistan","Production (t)","Cherries, sour","AfghanistanCherries, sour",2018,null,null,null,null,null,null,"Albania","Chickpeas","AlbaniaChickpeas ",0,0,null,null,null,null,"Antigua and Barbuda","Chickpeas","Antigua and BarbudaChickpeas ",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Millet","BangladeshMillet",9379,9550.3333333333339]
[null,null,"Afghanistan","Production (t)","Cherries, sour","AfghanistanCherries, sour",2019,null,null,null,null,null,null,"Albania","Chicory roots","AlbaniaChicory roots",0,0,null,null,null,null,"Antigua and Barbuda","Chicory roots","Antigua and BarbudaChicory roots",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Mushrooms","BangladeshMushrooms",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Chestnut","AfghanistanChestnut",2017,null,null,null,null,null,null,"Albania","Chillies and peppers, dry","AlbaniaChillies and peppers, dry",0,0,null,null,null,null,"Antigua and Barbuda","Chillies and peppers, dry","Antigua and BarbudaChillies and peppers, dry",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Oats","BangladeshOats",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Chestnut","AfghanistanChestnut",2018,null,null,null,null,null,null,"Albania","Chillies and peppers, green","AlbaniaChillies and peppers, green",80529.666666666672,2950.3333333333335,null,null,null,null,"Antigua and Barbuda","Chillies and peppers, green","Antigua and BarbudaChillies and peppers, green",79.666666666666671,17,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Onions, dry","BangladeshOnions, dry",1802361.3333333333,178899]
[null,null,"Afghanistan","Area harvested (ha)","Chestnut","AfghanistanChestnut",2019,null,null,null,null,null,null,"Albania","Cinnamon (cannella)","AlbaniaCinnamon (cannella)",0,0,null,null,null,null,"Antigua and Barbuda","Cinnamon (cannella)","Antigua and BarbudaCinnamon (cannella)",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Oranges","BangladeshOranges",3360,539.33333333333337]
[null,null,"Afghanistan","Production (t)","Chestnut","AfghanistanChestnut",2017,null,null,null,null,null,null,"Albania","Cloves","AlbaniaCloves",0,0,null,null,null,null,"Antigua and Barbuda","Cloves","Antigua and BarbudaCloves",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Peas (dry)","BangladeshPeas (dry)",11331,10269]
[null,null,"Afghanistan","Production (t)","Chestnut","AfghanistanChestnut",2018,null,null,null,null,null,null,"Albania","Cocoa","AlbaniaCocoa, beans",0,0,null,null,null,null,"Antigua and Barbuda","Cocoa","Antigua and BarbudaCocoa, beans",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Peppers","BangladeshPeppers",0,0]
[null,null,"Afghanistan","Production (t)","Chestnut","AfghanistanChestnut",2019,null,null,null,null,null,null,"Albania","Coconuts","AlbaniaCoconuts",0,0,null,null,null,null,"Antigua and Barbuda","Coconuts","Antigua and BarbudaCoconuts",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Pineapples","BangladeshPineapples",212557.66666666666,14503.666666666666]
[null,null,"Afghanistan","Area harvested (ha)","Chickpeas ","AfghanistanChickpeas ",2017,null,null,null,null,null,null,"Albania","Coffee","AlbaniaCoffee, green",0,0,null,null,null,null,"Antigua and Barbuda","Coffee","Antigua and BarbudaCoffee, green",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Potatoes","BangladeshPotatoes",9871817,481846.33333333331]
[null,null,"Afghanistan","Area harvested (ha)","Chickpeas ","AfghanistanChickpeas ",2018,null,null,null,null,null,null,"Albania","Coir","AlbaniaCoir",0,0,null,null,null,null,"Antigua and Barbuda","Coir","Antigua and BarbudaCoir",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Quinoa","BangladeshQuinoa",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Chickpeas ","AfghanistanChickpeas ",2019,null,null,null,null,null,null,"Albania","Cotton","AlbaniaCotton",824.33333333333337,744,null,null,null,null,"Antigua and Barbuda","Cow Peas (dry)","Antigua and BarbudaCow Peas (dry)",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Rapeseed","BangladeshRapeseed",342045.66666666669,304638.33333333331]
[null,null,"Afghanistan","Production (t)","Chickpeas ","AfghanistanChickpeas ",2017,null,null,null,null,null,null,"Albania","Cow Peas (dry)","AlbaniaCow Peas (dry)",0,0,null,null,null,null,"Antigua and Barbuda","Cranberries","Antigua and BarbudaCranberries",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Rye","BangladeshRye",0,0]
[null,null,"Afghanistan","Production (t)","Chickpeas ","AfghanistanChickpeas ",2018,null,null,null,null,null,null,"Albania","Cranberries","AlbaniaCranberries",0,0,null,null,null,null,"Antigua and Barbuda","Cucumbers and gherkins","Antigua and BarbudaCucumbers and gherkins",80,15.333333333333334,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Sesame seed","BangladeshSesame seed",33490.333333333336,36430.333333333336]
[null,null,"Afghanistan","Production (t)","Chickpeas ","AfghanistanChickpeas ",2019,null,null,null,null,null,null,"Albania","Cucumbers and gherkins","AlbaniaCucumbers and gherkins",119064.33333333333,2557.6666666666665,null,null,null,null,"Antigua and Barbuda","Currants","Antigua and BarbudaCurrants",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Sorghum","BangladeshSorghum",88.666666666666671,78.333333333333329]
[null,null,"Afghanistan","Area harvested (ha)","Chicory roots","AfghanistanChicory roots",2017,null,null,null,null,null,null,"Albania","Currants","AlbaniaCurrants",0,0,null,null,null,null,"Antigua and Barbuda","Dates","Antigua and BarbudaDates",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Soybeans","BangladeshSoybeans",102135,61597.666666666664]
[null,null,"Afghanistan","Area harvested (ha)","Chicory roots","AfghanistanChicory roots",2018,null,null,null,null,null,null,"Albania","Dates","AlbaniaDates",13478.666666666666,482.33333333333331,null,null,null,null,"Antigua and Barbuda","Eggplants (aubergines)","Antigua and BarbudaEggplants (aubergines)",273,49.666666666666664,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Sugar cane","BangladeshSugar cane",3547809.6666666665,87759.333333333328]
[null,null,"Afghanistan","Area harvested (ha)","Chicory roots","AfghanistanChicory roots",2019,null,null,null,null,null,null,"Albania","Eggplants (aubergines)","AlbaniaEggplants (aubergines)",30170.333333333332,1157.6666666666667,null,null,null,null,"Antigua and Barbuda","Fibre crops nes","Antigua and BarbudaFibre crops nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Sunflower seeds","BangladeshSunflower seeds",0,0]
[null,null,"Afghanistan","Production (t)","Chicory roots","AfghanistanChicory roots",2017,null,null,null,null,null,null,"Albania","Fibre crops nes","AlbaniaFibre crops nes",0,0,null,null,null,null,"Antigua and Barbuda","Figs","Antigua and BarbudaFigs",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Sweet potatoes","BangladeshSweet potatoes",248466.33333333334,24246.333333333332]
[null,null,"Afghanistan","Production (t)","Chicory roots","AfghanistanChicory roots",2018,null,null,null,null,null,null,"Albania","Figs","AlbaniaFigs",22183,1484.6666666666667,null,null,null,null,"Antigua and Barbuda","Flax fibre and tow","Antigua and BarbudaFlax fibre and tow",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Tomatoes","BangladeshTomatoes",387138.66666666669,28000.333333333332]
[null,null,"Afghanistan","Production (t)","Chicory roots","AfghanistanChicory roots",2019,null,null,null,null,null,null,"Albania","Flax fibre and tow","AlbaniaFlax fibre and tow",0,0,null,null,null,null,"Antigua and Barbuda","Fonio","Antigua and BarbudaFonio",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bangladesh","Wheat","BangladeshWheat",1142552.3333333333,365633.33333333331]
[null,null,"Afghanistan","Area harvested (ha)","Chillies and peppers, dry","AfghanistanChillies and peppers, dry",2017,null,null,null,null,null,null,"Albania","Fonio","AlbaniaFonio",0,0,null,null,null,null,"Antigua and Barbuda","Fruit, citrus nes","Antigua and BarbudaFruit, citrus nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Almonds","BarbadosAlmonds",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Chillies and peppers, dry","AfghanistanChillies and peppers, dry",2018,null,null,null,null,null,null,"Albania","Fruit, citrus nes","AlbaniaFruit, citrus nes",16,1,null,null,null,null,"Antigua and Barbuda","Fruit, fresh nes","Antigua and BarbudaFruit, fresh nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Apples","BarbadosApples",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Chillies and peppers, dry","AfghanistanChillies and peppers, dry",2019,null,null,null,null,null,null,"Albania","Fruit, fresh nes","AlbaniaFruit, fresh nes",6279.666666666667,180.66666666666666,null,null,null,null,"Antigua and Barbuda","Fruit, pome nes","Antigua and BarbudaFruit, pome nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Avocados","BarbadosAvocados",715.33333333333337,154.66666666666666]
[null,null,"Afghanistan","Production (t)","Chillies and peppers, dry","AfghanistanChillies and peppers, dry",2017,null,null,null,null,null,null,"Albania","Fruit, pome nes","AlbaniaFruit, pome nes",0,0,null,null,null,null,"Antigua and Barbuda","Fruit, stone nes","Antigua and BarbudaFruit, stone nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Bananas","BarbadosBananas",995.33333333333337,174]
[null,null,"Afghanistan","Production (t)","Chillies and peppers, dry","AfghanistanChillies and peppers, dry",2018,null,null,null,null,null,null,"Albania","Fruit, stone nes","AlbaniaFruit, stone nes",0,0,null,null,null,null,"Antigua and Barbuda","Fruit, tropical fresh nes","Antigua and BarbudaFruit, tropical fresh nes",6682.333333333333,934.33333333333337,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Barley","BarbadosBarley",0,0]
[null,null,"Afghanistan","Production (t)","Chillies and peppers, dry","AfghanistanChillies and peppers, dry",2019,null,null,null,null,null,null,"Albania","Fruit, tropical fresh nes","AlbaniaFruit, tropical fresh nes",0,0,null,null,null,null,"Antigua and Barbuda","Garlic (green)","Antigua and BarbudaGarlic (green)",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Beans","BarbadosBeans (dry)",119.66666666666667,20.333333333333332]
[null,null,"Afghanistan","Area harvested (ha)","Chillies and peppers, green","AfghanistanChillies and peppers, green",2017,null,null,null,null,null,null,"Albania","Garlic (green)","AlbaniaGarlic (green)",14432,953.33333333333337,null,null,null,null,"Antigua and Barbuda","Ginger","Antigua and BarbudaGinger",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Buckwheat","BarbadosBuckwheat",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Chillies and peppers, green","AfghanistanChillies and peppers, green",2018,null,null,null,null,null,null,"Albania","Ginger","AlbaniaGinger",0,0,null,null,null,null,"Antigua and Barbuda","Gooseberries","Antigua and BarbudaGooseberries",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Carrots","BarbadosCarrots and turnips",299.66666666666669,17.666666666666668]
[null,null,"Afghanistan","Area harvested (ha)","Chillies and peppers, green","AfghanistanChillies and peppers, green",2019,null,null,null,null,null,null,"Albania","Gooseberries","AlbaniaGooseberries",0,0,null,null,null,null,"Antigua and Barbuda","Grain, mixed","Antigua and BarbudaGrain, mixed",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Cashew nuts","BarbadosCashew nuts",0,0]
[null,null,"Afghanistan","Production (t)","Chillies and peppers, green","AfghanistanChillies and peppers, green",2017,null,null,null,null,null,null,"Albania","Grain, mixed","AlbaniaGrain, mixed",0,0,null,null,null,null,"Antigua and Barbuda","Grapefruit (inc. pomelos)","Antigua and BarbudaGrapefruit (inc. pomelos)",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Cassava","BarbadosCassava",546,27.666666666666668]
[null,null,"Afghanistan","Production (t)","Chillies and peppers, green","AfghanistanChillies and peppers, green",2018,null,null,null,null,null,null,"Albania","Grapefruit (inc. pomelos)","AlbaniaGrapefruit (inc. pomelos)",0,0,null,null,null,null,"Antigua and Barbuda","Grapes","Antigua and BarbudaGrapes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Chickpeas","BarbadosChickpeas ",0,0]
[null,null,"Afghanistan","Production (t)","Chillies and peppers, green","AfghanistanChillies and peppers, green",2019,null,null,null,null,null,null,"Albania","Grapes","AlbaniaGrapes",192561.33333333334,10376.333333333334,null,null,null,null,"Antigua and Barbuda","Peanuts","Antigua and BarbudaPeanuts",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Cocoa","BarbadosCocoa, beans",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cinnamon (cannella)","AfghanistanCinnamon (cannella)",2017,null,null,null,null,null,null,"Albania","Peanuts","AlbaniaPeanuts",0,0,null,null,null,null,"Antigua and Barbuda","Gums, natural","Antigua and BarbudaGums, natural",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Coffee","BarbadosCoffee, green",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cinnamon (cannella)","AfghanistanCinnamon (cannella)",2018,null,null,null,null,null,null,"Albania","Gums, natural","AlbaniaGums, natural",0,0,null,null,null,null,"Antigua and Barbuda","Hazelnuts, with shell","Antigua and BarbudaHazelnuts, with shell",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Cotton","BarbadosCotton",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cinnamon (cannella)","AfghanistanCinnamon (cannella)",2019,null,null,null,null,null,null,"Albania","Hazelnuts, with shell","AlbaniaHazelnuts, with shell",0,0,null,null,null,null,"Antigua and Barbuda","Hemp tow waste","Antigua and BarbudaHemp tow waste",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Garlic (green)","BarbadosGarlic (green)",0,0]
[null,null,"Afghanistan","Production (t)","Cinnamon (cannella)","AfghanistanCinnamon (cannella)",2017,null,null,null,null,null,null,"Albania","Hemp tow waste","AlbaniaHemp tow waste",0,0,null,null,null,null,"Antigua and Barbuda","Hempseed","Antigua and BarbudaHempseed",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Ginger","BarbadosGinger",0,0]
[null,null,"Afghanistan","Production (t)","Cinnamon (cannella)","AfghanistanCinnamon (cannella)",2018,null,null,null,null,null,null,"Albania","Hempseed","AlbaniaHempseed",0,0,null,null,null,null,"Antigua and Barbuda","Hops","Antigua and BarbudaHops",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Grapes","BarbadosGrapes",0,0]
[null,null,"Afghanistan","Production (t)","Cinnamon (cannella)","AfghanistanCinnamon (cannella)",2019,null,null,null,null,null,null,"Albania","Hops","AlbaniaHops",1746,2316,null,null,null,null,"Antigua and Barbuda","Jojoba seed","Antigua and BarbudaJojoba seed",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Peanuts","BarbadosPeanuts",11.666666666666666,6.333333333333333]
[null,null,"Afghanistan","Area harvested (ha)","Cloves","AfghanistanCloves",2017,null,null,null,null,null,null,"Albania","Jojoba seed","AlbaniaJojoba seed",0,0,null,null,null,null,"Antigua and Barbuda","Jute","Antigua and BarbudaJute",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Lemons","BarbadosLemons",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cloves","AfghanistanCloves",2018,null,null,null,null,null,null,"Albania","Jute","AlbaniaJute",0,0,null,null,null,null,"Antigua and Barbuda","Kapok fruit","Antigua and BarbudaKapok fruit",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Lentils","BarbadosLentils",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cloves","AfghanistanCloves",2019,null,null,null,null,null,null,"Albania","Kapok fruit","AlbaniaKapok fruit",0,0,null,null,null,null,"Antigua and Barbuda","Karite nuts (sheanuts)","Antigua and BarbudaKarite nuts (sheanuts)",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Lettuce","BarbadosLettuce",710.66666666666663,41.333333333333336]
[null,null,"Afghanistan","Production (t)","Cloves","AfghanistanCloves",2017,null,null,null,null,null,null,"Albania","Karite nuts (sheanuts)","AlbaniaKarite nuts (sheanuts)",0,0,null,null,null,null,"Antigua and Barbuda","Kiwi fruit","Antigua and BarbudaKiwi fruit",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Maize","BarbadosMaize",75,26.666666666666668]
[null,null,"Afghanistan","Production (t)","Cloves","AfghanistanCloves",2018,null,null,null,null,null,null,"Albania","Kiwi fruit","AlbaniaKiwi fruit",0,0,null,null,null,null,"Antigua and Barbuda","Kola nuts","Antigua and BarbudaKola nuts",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Mangoes","BarbadosMangoes",0,0]
[null,null,"Afghanistan","Production (t)","Cloves","AfghanistanCloves",2019,null,null,null,null,null,null,"Albania","Kola nuts","AlbaniaKola nuts",0,0,null,null,null,null,"Antigua and Barbuda","Leeks, other alliaceous vegetables","Antigua and BarbudaLeeks, other alliaceous vegetables",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Millet","BarbadosMillet",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cocoa","AfghanistanCocoa, beans",2017,null,null,null,null,null,null,"Albania","Leeks, other alliaceous vegetables","AlbaniaLeeks, other alliaceous vegetables",35454.333333333336,1515,null,null,null,null,"Antigua and Barbuda","Lemons","Antigua and BarbudaLemons",418.66666666666669,90,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Mushrooms","BarbadosMushrooms",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cocoa","AfghanistanCocoa, beans",2018,null,null,null,null,null,null,"Albania","Lemons","AlbaniaLemons",3686.3333333333335,610,null,null,null,null,"Antigua and Barbuda","Lentils","Antigua and BarbudaLentils",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Oats","BarbadosOats",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Cocoa","AfghanistanCocoa, beans",2019,null,null,null,null,null,null,"Albania","Lentils","AlbaniaLentils",0,0,null,null,null,null,"Antigua and Barbuda","Lettuce","Antigua and BarbudaLettuce",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Onions, dry","BarbadosOnions, dry",528,22.666666666666668]
[null,null,"Afghanistan","Production (t)","Cocoa","AfghanistanCocoa, beans",2017,null,null,null,null,null,null,"Albania","Lettuce","AlbaniaLettuce",19405.666666666668,1351.3333333333333,null,null,null,null,"Antigua and Barbuda","Linseed","Antigua and BarbudaLinseed",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Oranges","BarbadosOranges",0,0]
[null,null,"Afghanistan","Production (t)","Cocoa","AfghanistanCocoa, beans",2018,null,null,null,null,null,null,"Albania","Linseed","AlbaniaLinseed",0,0,null,null,null,null,"Antigua and Barbuda","Lupins","Antigua and BarbudaLupins",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Peas (dry)","BarbadosPeas (dry)",0,0]
[null,null,"Afghanistan","Production (t)","Cocoa","AfghanistanCocoa, beans",2019,null,null,null,null,null,null,"Albania","Lupins","AlbaniaLupins",0,0,null,null,null,null,"Antigua and Barbuda","Maize","Antigua and BarbudaMaize",53.666666666666664,24,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Peppers","BarbadosPeppers",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Coconuts","AfghanistanCoconuts",2017,null,null,null,null,null,null,"Albania","Maize","AlbaniaMaize",387038,55774.333333333336,null,null,null,null,"Antigua and Barbuda","Maize, green","Antigua and BarbudaMaize, green",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Pineapples","BarbadosPineapples",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Coconuts","AfghanistanCoconuts",2018,null,null,null,null,null,null,"Albania","Maize, green","AlbaniaMaize, green",0,0,null,null,null,null,"Antigua and Barbuda","Mangoes","Antigua and BarbudaMangoes",1399.6666666666667,310,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Potatoes","BarbadosPotatoes",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Coconuts","AfghanistanCoconuts",2019,null,null,null,null,null,null,"Albania","Mangoes","AlbaniaMangoes",0,0,null,null,null,null,"Antigua and Barbuda","Manila fibre (abaca)","Antigua and BarbudaManila fibre (abaca)",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Quinoa","BarbadosQuinoa",0,0]
[null,null,"Afghanistan","Production (t)","Coconuts","AfghanistanCoconuts",2017,null,null,null,null,null,null,"Albania","Manila fibre (abaca)","AlbaniaManila fibre (abaca)",0,0,null,null,null,null,"Antigua and Barbuda","Mate","Antigua and BarbudaMate",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barbados","Rapeseed","BarbadosRapeseed",0,0]
[null,null,"Afghanistan","Area harvested (ha)","Jojoba seed","AfghanistanJojoba seed",2018,null,null,null,null,null,null,"Algeria","Pears","AlgeriaPears",220208.33333333334,22332.333333333332,null,null,null,null,"Argentina","Peas (dry)","ArgentinaPeas (dry)",124790.33333333333,65375,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bolivia (Plurinational State of)","Wheat","Bolivia (Plurinational State of)Wheat",231036.33333333334,190556]
[null,null,"Albania","Production (t)","Pumpkins, squash and gourds","AlbaniaPumpkins, squash and gourds",2019,"tonnes",18923,null,null,null,null,"Bahamas","Fruit, tropical fresh nes","BahamasFruit, tropical fresh nes",4844.333333333333,704.33333333333337,null,null,null,null,"Bosnia and Herzegovina","Garlic (green)","Bosnia and HerzegovinaGarlic (green)",5697,1705.3333333333333,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gambia","Apples","GambiaApples",0,0]
[null,null,"Algeria","Production (t)","Coir","AlgeriaCoir",2019,null,null,null,null,null,null,"Barbados","Lupins","BarbadosLupins",0,0,null,null,null,null,"Burkina Faso","Maize","Burkina FasoMaize",1648152,996824.66666666663,null,null,null,null,null,null,null,null,null,null,null,null,null,"Jamaica","Sugar cane","JamaicaSugar cane",967933.33333333337,17933.333333333332]
[null,null,"Angola","Production (t)","Apricots","AngolaApricots",2017,null,null,null,null,null,null,"Benin","Agave fibres nes","BeninAgave fibres nes",0,0,null,null,null,null,"Central African Republic","Agave fibres nes","Central African RepublicAgave fibres nes",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mexico","Rye","MexicoRye",15,8.3333333333333339]
[null,null,"Antigua and Barbuda","Area harvested (ha)","Blueberries","Antigua and BarbudaBlueberries",2017,null,null,null,null,null,null,"Brunei Darussalam","Garlic (green)","Brunei DarussalamGarlic (green)",0,0,null,null,null,null,"Congo","Ginger","CongoGinger",0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sierra Leone","Rye","Sierra LeoneRye",0,0]
[null,null,"Antigua and Barbuda","Area harvested (ha)","Pears","Antigua and BarbudaPears",2017,null,null,null,null,null,null,"Burundi","Persimmons","BurundiPersimmons",0,0,null,null,null,null,"Democratic Republic of the Congo","Pigeon peas","Democratic Republic of the CongoPigeon peas",6408,10627.666666666666,null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkey","Coffee","TurkeyCoffee, green",0,0]
[null,null,"Argentina","Area harvested (ha)","Tomatoes","ArgentinaTomatoes",2018,"ha",16788,null,null,null,null,"China","Chillies and peppers, green","ChinaChillies and peppers, green",16679649.666666666,737471.66666666663,null,null,null,null,"Eswatini","Chillies and peppers, green","EswatiniChillies and peppers, green",0,0]
[null,null,"Armenia","Production (t)","Rice, paddy","ArmeniaRice, paddy",2017,"tonnes",null,null,null,null,null,"Colombia","Fonio","ColombiaFonio",0,0,null,null,null,null,"Ghana","Fruit, citrus nes","GhanaFruit, citrus nes",0,0]
[null,null,"Australia","Area harvested (ha)","Quinces","AustraliaQuinces",2019,"ha",null,null,null,null,null,"Croatia","Beans, green","CroatiaBeans, green",2465,458.33333333333331,null,null,null,null,"Haiti","Beans, green","HaitiBeans, green",0,0]
[null,null,"Austria","Area harvested (ha)","Barley","AustriaBarley",2018,"ha",139270,null,null,null,null,"Cuba","Walnuts, with shell","CubaWalnuts, with shell",0,0,null,null,null,null,"Honduras","Walnuts, with shell","HondurasWalnuts, with shell",0,0]
[null,null,"Azerbaijan","Production (t)","Avocados","AzerbaijanAvocados",2018,null,null,null,null,null,null,"Denmark","Sisal","DenmarkSisal",0,0,null,null,null,null,"Kiribati","Sisal","KiribatiSisal",0,0]
[null,null,"Bahamas","Production (t)","Cherries","BahamasCherries",2018,null,null,null,null,null,null,"Equatorial Guinea","Olives","Equatorial GuineaOlives",0,0,null,null,null,null,"Malawi","Onions, dry","MalawiOnions, dry",171207,9157]
[null,null,"Bahamas","Production (t)","Sugar crops nes","BahamasSugar crops nes",2019,null,null,null,null,null,null,"Ethiopia","Peppermint","EthiopiaPeppermint",0,0,null,null,null,null,"Marshall Islands","Persimmons","Marshall IslandsPersimmons",0,0]
[null,null,"Bahrain","Area harvested (ha)","Sorghum","BahrainSorghum",2018,null,null,null,null,null,null,"French Guyana","Dates","French GuyanaDates",0,0,null,null,null,null,"Morocco","Eggplants (aubergines)","MoroccoEggplants (aubergines)",57995.333333333336,2085.3333333333335]
[null,null,"Bangladesh","Area harvested (ha)","Plantains and others","BangladeshPlantains and others",2017,"ha",11167,null,null,null,null,"Germany","Manila fibre (abaca)","GermanyManila fibre (abaca)",0,0,null,null,null,null,"Nicaragua","Mate","NicaraguaMate",0,0]
[null,null,"Barbados","Production (t)","Brazil nuts, with shell","BarbadosBrazil nuts, with shell",2019,null,null,null,null,null,null,"Greece","Tung nuts","GreeceTung nuts",0,0,null,null,null,null,"Nigeria","Tung nuts","NigeriaTung nuts",0,0]
[null,null,"Belarus","Area harvested (ha)","Mangoes","BelarusMangoes",2018,null,null,null,null,null,null,"Hungary","Grapefruit (inc. pomelos)","HungaryGrapefruit (inc. pomelos)",0,0,null,null,null,null,"Saint Lucia","Grapes","Saint LuciaGrapes",0,0]
[null,null,"Belgium","Area harvested (ha)","Cinnamon (cannella)","BelgiumCinnamon (cannella)",2019,null,null,null,null,null,null,"Iran (Islamic Republic of)","Nuts nes","Iran (Islamic Republic of)Nuts nes",4069.6666666666665,2321.3333333333335,null,null,null,null,"Seychelles","Oats","SeychellesOats",0,0]
[null,null,"Belgium","Production (t)","Soybeans","BelgiumSoybeans",2017,null,null,null,null,null,null,"Italy","Canary seed","ItalyCanary seed",0,0,null,null,null,null,"South Africa","Canary seed","South AfricaCanary seed",0,0]
[null,null,"Belgium-Luxembourg","Production (t)","Maize","Belgium-LuxembourgMaize",2017,null,null,null,null,null,null,"Kazakhstan","Chillies and peppers, dry","KazakhstanChillies and peppers, dry",410.66666666666669,199.33333333333334,null,null,null,null,"Tajikistan","Chillies and peppers, dry","TajikistanChillies and peppers, dry",0,0]
[null,null,"Belize","Area harvested (ha)","Fonio","BelizeFonio",2019,null,null,null,null,null,null,"Lao People's Democratic Republic","Barley","Lao People's Democratic RepublicBarley",0,0,null,null,null,null,"Trinidad and Tobago","Barley","Trinidad and TobagoBarley",0,0]
[null,null,"Belize","Area harvested (ha)","Yautia (cocoyam)","BelizeYautia (cocoyam)",2019,"ha",8,null,null,null,null,"Lesotho","Watermelons","LesothoWatermelons",0,0,null,null,null,null,"Uganda","Watermelons","UgandaWatermelons",0,0]
[null,null,"Bhutan","Area harvested (ha)","Karite nuts (sheanuts)","BhutanKarite nuts (sheanuts)",2019,null,null,null,null,null,null,"Mali","Plums and sloes","MaliPlums and sloes",0,0,null,null,null,null,"Zambia","Poppy seed","ZambiaPoppy seed",0,0]
[null,null,"Bolivia (Plurinational State of)","Area harvested (ha)","Carobs","Bolivia (Plurinational State of)Carobs",2019,null,null,null,null,null,null,"Mauritania","Plums and sloes","MauritaniaPlums and sloes",0,0]
[null,null,"Bolivia (Plurinational State of)","Area harvested (ha)","Quinces","Bolivia (Plurinational State of)Quinces",2017,"ha",27,null,null,null,null,"Mongolia","Fruit, pome nes","MongoliaFruit, pome nes",0,0]
[null,null,"Bosnia and Herzegovina","Production (t)","Vetches","Bosnia and HerzegovinaVetches",2017,"tonnes",2336,null,null,null,null,"Nepal","Mustard seed","NepalMustard seed",184124,178397]
[null,null,"Botswana","Area harvested (ha)","Ginger","BotswanaGinger",2017,null,null,null,null,null,null,"New Zealand","Artichokes","New ZealandArtichokes",0,0]
[null,null,"Brazil","Production (t)","Roots and tubers nes","BrazilRoots and tubers nes",2018,null,null,null,null,null,null,"Pakistan","Hempseed","PakistanHempseed",5,8]
[null,null,"Brunei Darussalam","Area harvested (ha)","Linseed","Brunei DarussalamLinseed",2017,null,null,null,null,null,null,"Paraguay","Persimmons","ParaguayPersimmons",0,0]
[null,null,"Brunei Darussalam","Area harvested (ha)","Raspberries","Brunei DarussalamRaspberries",2018,null,null,null,null,null,null,"Philippines","Cranberries","PhilippinesCranberries",0,0]
[null,null,"Bulgaria","Production (t)","Roots and tubers nes","BulgariaRoots and tubers nes",2018,"tonnes",null,null,null,null,null,"Republic of Korea","Figs","Republic of KoreaFigs",0,0]
[null,null,"Burkina Faso","Area harvested (ha)","Tobacco, unmanufactured","Burkina FasoTobacco, unmanufactured",2018,"ha",895,null,null,null,null,"Saint Vincent and the Grenadines","Apricots","Saint Vincent and the GrenadinesApricots",0,0]
[null,null,"Burundi","Area harvested (ha)","Tobacco, unmanufactured","BurundiTobacco, unmanufactured",2018,"ha",1449,null,null,null,null,"Serbia","Walnuts, with shell","SerbiaWalnuts, with shell",10294.666666666666,2962.3333333333335]
[null,null,"Cabo Verde","Area harvested (ha)","Pyrethrum, dried","Cabo VerdePyrethrum, dried",2019,null,null,null,null,null,null,"Slovakia","Sunflower seeds","SlovakiaSunflower seeds",184114.66666666666,68232.666666666672]
[null,null,"Cambodia","Production (t)","Mate","CambodiaMate",2018,null,null,null,null,null,null,"South Sudan","Pears","South SudanPears",0,0]
[null,null,"Cameroon","Production (t)","Mushrooms","CameroonMushrooms",2017,null,null,null,null,null,null,"Sweden","Pumpkins, squash and gourds","SwedenPumpkins, squash and gourds",4370,235]
[null,null,"Cameroon","Area harvested (ha)","Soybeans","CameroonSoybeans",2019,"ha",15757,null,null,null,null,"Syrian Arab Republic","Cucumbers and gherkins","Syrian Arab RepublicCucumbers and gherkins",132064,9584]
[null,null,"Canada","Area harvested (ha)","Melonseed","CanadaMelonseed",2017,null,null,null,null,null,null,"Togo","Oats","TogoOats",0,0]
[null,null,"Central African Republic","Production (t)","Vegetables, leguminous nes","Central African RepublicVegetables, leguminous nes",2019,null,null,null,null,null,null,"Uganda","Tung nuts","UgandaTung nuts",0,0]
[null,null,"Chad","Area harvested (ha)","Pistachios","ChadPistachios",2017,null,null,null,null,null,null,"United States of America","Fonio","United States of AmericaFonio",0,0]
[null,null,"Chile","Production (t)","Cloves","ChileCloves",2017,null,null,null,null,null,null,"Uzbekistan","Mustard seed","UzbekistanMustard seed",0,0]
[null,null,"China","Production (t)","Bambara beans","ChinaBambara beans",2019,null,null,null,null,null,null,"Yugoslav SFR","Hazelnuts, with shell","Yugoslav SFRHazelnuts, with shell",0,0]
[null,null,"China","Production (t)","String beans","ChinaString beans",2019,"tonnes",9990]
[null,null,"China, Macao SAR","Area harvested (ha)","Cereals nes","China, Macao SARCereals nes",2019]
[null,null,"China, mainland","Production (t)","Agave fibres nes","China, mainlandAgave fibres nes",2019]
[null,null,"China, mainland","Production (t)","Kiwi fruit","China, mainlandKiwi fruit",2017,"tonnes",2131141]
[null,null,"China, Taiwan Province of","Area harvested (ha)","Soybeans","China, Taiwan Province ofSoybeans",2017,"ha",3182]
[null,null,"Colombia","Production (t)","Blueberries","ColombiaBlueberries",2017]
[null,null,"Colombia","Production (t)","Sesame seed","ColombiaSesame seed",2017,"tonnes",3238]
[null,null,"Congo","Area harvested (ha)","Chillies and peppers, green","CongoChillies and peppers, green",2017]
[null,null,"Congo","Production (t)","Oranges","CongoOranges",2018,"tonnes",2233]
[null,null,"Cook Islands","Area harvested (ha)","Lupins","Cook IslandsLupins",2018]
[null,null,"Costa Rica","Production (t)","Rice, paddy","Costa RicaRice, paddy",2018,"tonnes",179638]
[null,null,"Cote d'Ivoire","Production (t)","Oranges","Cote d'IvoireOranges",2018,"tonnes",40370]
[null,null,"Cote d'Ivoire","Area harvested (ha)","Rapeseed","Cote d'IvoireRapeseed",2018]
[null,null,"Croatia","Area harvested (ha)","Tomatoes","CroatiaTomatoes",2019,"ha",320]
[null,null,"Cuba","Area harvested (ha)","Oats","CubaOats",2019]
[null,null,"Cyprus","Production (t)","Melons, other (inc.cantaloupes)","CyprusMelons, other (inc.cantaloupes)",2019,"tonnes",7990]
[null,null,"Czechia","Production (t)","Hazelnuts, with shell","CzechiaHazelnuts, with shell",2017]
[null,null,"Czechoslovakia","Area harvested (ha)","Persimmons","CzechoslovakiaPersimmons",2019]
[null,null,"Democratic People's Republic of Korea","Production (t)","Millet","Democratic People's Republic of KoreaMillet",2017,"tonnes",75805]
[null,null,"Democratic People's Republic of Korea","Area harvested (ha)","Walnuts, with shell","Democratic People's Republic of KoreaWalnuts, with shell",2017,"ha"]
[null,null,"Democratic Republic of the Congo","Area harvested (ha)","Rice, paddy","Democratic Republic of the CongoRice, paddy",2019,"ha",1587949]
[null,null,"Denmark","Area harvested (ha)","Potatoes","DenmarkPotatoes",2019,"ha",56700]
[null,null,"Djibouti","Production (t)","Taro (cocoyam)","DjiboutiTaro (cocoyam)",2019]
[null,null,"Dominica","Area harvested (ha)","Sugar cane","DominicaSugar cane",2019,"ha",245]
[null,null,"Dominican Republic","Production (t)","Cherries","Dominican RepublicCherries",2017]
[null,null,"Dominican Republic","Production (t)","Strawberries","Dominican RepublicStrawberries",2019]
[null,null,"Ecuador","Area harvested (ha)","Sorghum","EcuadorSorghum",2017,"ha",8273]
[null,null,"Egypt","Area harvested (ha)","Persimmons","EgyptPersimmons",2017]
[null,null,"El Salvador","Production (t)","Vegetables, fresh nes","El SalvadorVegetables, fresh nes",2017,"tonnes",29955]
[null,null,"Equatorial Guinea","Area harvested (ha)","Linseed","Equatorial GuineaLinseed",2018]
[null,null,"Eritrea","Area harvested (ha)","Cinnamon (cannella)","EritreaCinnamon (cannella)",2018]
[null,null,"Eritrea","Production (t)","Safflower seed","EritreaSafflower seed",2017]
[null,null,"Eswatini","Production (t)","Fruit, stone nes","EswatiniFruit, stone nes",2018]
[null,null,"Eswatini","Production (t)","Onions, shallots, green","EswatiniOnions, shallots, green",2018]
[null,null,"Ethiopia","Production (t)","Papayas","EthiopiaPapayas",2019,"tonnes",51947]
[null,null,"Ethiopia PDR","Production (t)","Kapok fruit","Ethiopia PDRKapok fruit",2019]
[null,null,"Faroe Islands","Production (t)","Cotton","Faroe IslandsCotton",2019]
[null,null,"Fiji","Production (t)","Cranberries","FijiCranberries",2017]
[null,null,"Finland","Area harvested (ha)","Grapes","FinlandGrapes",2019,"ha"," -   "]
[null,null,"Finland","Area harvested (ha)","Nuts nes","FinlandNuts nes",2019,"ha"," -   "]
[null,null,"France","Production (t)","Pigeon peas","FrancePigeon peas",2017]
[null,null,"French Guyana","Production (t)","Lettuce","French GuyanaLettuce",2019]
[null,null,"French Polynesia","Production (t)","Nuts nes","French PolynesiaNuts nes",2019]
[null,null,"Gabon","Area harvested (ha)","Onions, shallots, green","GabonOnions, shallots, green",2019]
[null,null,"Gabon","Area harvested (ha)","Tallowtree seed","GabonTallowtree seed",2018]
[null,null,"Gambia","Area harvested (ha)","Tobacco, unmanufactured","GambiaTobacco, unmanufactured",2017]
[null,null,"Georgia","Area harvested (ha)","Poppy seed","GeorgiaPoppy seed",2019]
[null,null,"Germany","Production (t)","Mate","GermanyMate",2017]
[null,null,"Ghana","Production (t)","Mate","GhanaMate",2017]
[null,null,"Greece","Area harvested (ha)","Peppermint","GreecePeppermint",2017]
[null,null,"Grenada","Area harvested (ha)","Garlic (green)","GrenadaGarlic (green)",2018]
[null,null,"Grenada","Production (t)","Vegetables, leguminous nes","GrenadaVegetables, leguminous nes",2018]
[null,null,"Guadeloupe","Area harvested (ha)","Peppermint","GuadeloupePeppermint",2017]
[null,null,"Guinea","Area harvested (ha)","Beans, green","GuineaBeans, green",2018]
[null,null,"Guinea","Area harvested (ha)","Lettuce","GuineaLettuce",2018]
[null,null,"Guinea-Bissau","Production (t)","Fruit, tropical fresh nes","Guinea-BissauFruit, tropical fresh nes",2019]
[null,null,"Guyana","Production (t)","Figs","GuyanaFigs",2019]
[null,null,"Haiti","Area harvested (ha)","Agave fibres nes","HaitiAgave fibres nes",2019]
[null,null,"Honduras","Area harvested (ha)","Cashewapple","HondurasCashewapple",2017]
[null,null,"Hungary","Production (t)","Cabbages and other brassicas","HungaryCabbages and other brassicas",2019,"tonnes",50240]
[null,null,"Hungary","Production (t)","Jute","HungaryJute",2019]
[null,null,"Iceland","Production (t)","Peanuts","IcelandPeanuts",2017]
[null,null,"India","Production (t)","Chillies and peppers, dry","IndiaChillies and peppers, dry",2019,"tonnes",1743000]
[null,null,"Indonesia","Area harvested (ha)","Kapok fruit","IndonesiaKapok fruit",2019,"ha",160459]
[null,null,"Iran (Islamic Republic of)","Area harvested (ha)","Fruit, pome nes","Iran (Islamic Republic of)Fruit, pome nes",2019]
[null,null,"Iran (Islamic Republic of)","Production (t)","Quinoa","Iran (Islamic Republic of)Quinoa",2018]
[null,null,"Iraq","Production (t)","Oranges","IraqOranges",2017,"tonnes",74774]
[null,null,"Ireland","Production (t)","Nutmeg, mace and cardamoms","IrelandNutmeg, mace and cardamoms",2019]
[null,null,"Israel","Area harvested (ha)","Rapeseed","IsraelRapeseed",2017]
[null,null,"Italy","Production (t)","Peanuts","ItalyPeanuts",2017,"tonnes"]
[null,null,"Jamaica","Area harvested (ha)","Grapefruit (inc. pomelos)","JamaicaGrapefruit (inc. pomelos)",2017,"ha",1772]
[null,null,"Japan","Production (t)","Cinnamon (cannella)","JapanCinnamon (cannella)",2018]
[null,null,"Japan","Area harvested (ha)","Persimmons","JapanPersimmons",2018,"ha",19100]
[null,null,"Jordan","Production (t)","Manila fibre (abaca)","JordanManila fibre (abaca)",2017]
[null,null,"Kazakhstan","Production (t)","Safflower seed","KazakhstanSafflower seed",2018,"tonnes",214149]
[null,null,"Kenya","Area harvested (ha)","Fruit, tropical fresh nes","KenyaFruit, tropical fresh nes",2018,"ha",3923]
[null,null,"Kiribati","Area harvested (ha)","Berries nes","KiribatiBerries nes",2019]
[null,null,"Kuwait","Area harvested (ha)","Cherries","KuwaitCherries",2019]
[null,null,"Kuwait","Production (t)","Poppy seed","KuwaitPoppy seed",2019]
[null,null,"Lao People's Democratic Republic","Production (t)","Apples","Lao People's Democratic RepublicApples",2017]
[null,null,"Lao People's Democratic Republic","Area harvested (ha)","Strawberries","Lao People's Democratic RepublicStrawberries",2019]
[null,null,"Latvia","Production (t)","Fibre crops nes","LatviaFibre crops nes",2019]
[null,null,"Lebanon","Area harvested (ha)","Carobs","LebanonCarobs",2017,"ha",413]
[null,null,"Lebanon","Area harvested (ha)","Vegetables, fresh nes","LebanonVegetables, fresh nes",2019,"ha",2875]
[null,null,"Lesotho","Area harvested (ha)","Leeks, other alliaceous vegetables","LesothoLeeks, other alliaceous vegetables",2018]
[null,null,"Libya","Production (t)","Bastfibres, other","LibyaBastfibres, other",2019]
[null,null,"Libya","Area harvested (ha)","Onions, dry","LibyaOnions, dry",2018,"ha",9297]
[null,null,"Lithuania","Production (t)","Fruit, stone nes","LithuaniaFruit, stone nes",2017,"tonnes"," -   "]
[null,null,"Luxembourg","Area harvested (ha)","Jute","LuxembourgJute",2019]
[null,null,"Madagascar","Production (t)","Lemons","MadagascarLemons",2017,"tonnes",4381]
[null,null,"Malawi","Area harvested (ha)","Cow Peas (dry)","MalawiCow Peas (dry)",2017,"ha",100684]
[null,null,"Malaysia","Production (t)","Buckwheat","MalaysiaBuckwheat",2017]
[null,null,"Malaysia","Production (t)","Coffee","MalaysiaCoffee, green",2017,"tonnes",8109]
[null,null,"Maldives","Area harvested (ha)","Grapes","MaldivesGrapes",2018]
[null,null,"Mali","Production (t)","Grapes","MaliGrapes",2017]
[null,null,"Malta","Area harvested (ha)","Mangoes","MaltaMangoes",2018]
[null,null,"Marshall Islands","Production (t)","Chillies and peppers, green","Marshall IslandsChillies and peppers, green",2018]
[null,null,"Marshall Islands","Production (t)","Sesame seed","Marshall IslandsSesame seed",2019]
[null,null,"Mauritania","Production (t)","Bambara beans","MauritaniaBambara beans",2019]
[null,null,"Mauritania","Area harvested (ha)","Jojoba seed","MauritaniaJojoba seed",2019]
[null,null,"Mauritius","Area harvested (ha)","Asparagus","MauritiusAsparagus",2019]
[null,null,"Mexico","Production (t)","Mushrooms","MexicoMushrooms",2019]
[null,null,"Mexico","Production (t)","Sugar cane","MexicoSugar cane",2017,"tonnes",56954993]
[null,null,"Micronesia (Federated States of)","Production (t)","String beans","Micronesia (Federated States of)String beans",2017]
[null,null,"Mongolia","Production (t)","Peppers","MongoliaPeppers",2019]
[null,null,"Montenegro","Area harvested (ha)","Fruit, fresh nes","MontenegroFruit, fresh nes",2018,"ha",250]
[null,null,"Morocco","Area harvested (ha)","Rye","MoroccoRye",2019,"ha",3802]
[null,null,"Mozambique","Production (t)","Lemons","MozambiqueLemons",2018,"tonnes",3475]
[null,null,"Myanmar","Area harvested (ha)","Beans, green","MyanmarBeans, green",2017]
[null,null,"Namibia","Area harvested (ha)","Fibre crops nes","NamibiaFibre crops nes",2019]
[null,null,"Namibia","Production (t)","Fruit, tropical fresh nes","NamibiaFruit, tropical fresh nes",2018]
[null,null,"Nauru","Production (t)","Currants","NauruCurrants",2019]
[null,null,"Nepal","Area harvested (ha)","Spinach","NepalSpinach",2017]
[null,null,"Netherlands","Area harvested (ha)","Canary seed","NetherlandsCanary seed",2017,"ha"]
[null,null,"New Caledonia","Production (t)","Cabbages and other brassicas","New CaledoniaCabbages and other brassicas",2018]
[null,null,"New Zealand","Area harvested (ha)","Cotton","New ZealandCotton",2017]
[null,null,"New Zealand","Area harvested (ha)","Peanuts","New ZealandPeanuts",2019]
[null,null,"Nicaragua","Production (t)","Coconuts","NicaraguaCoconuts",2017,"tonnes",4800]
[null,null,"Niger","Area harvested (ha)","Manila fibre (abaca)","NigerManila fibre (abaca)",2019]
[null,null,"Nigeria","Production (t)","Beans","NigeriaBeans (dry)",2018]
[null,null,"Niue","Area harvested (ha)","Cassava leaves","NiueCassava leaves",2019]
[null,null,"Niue","Production (t)","Taro (cocoyam)","NiueTaro (cocoyam)",2019,"tonnes",2835]
[null,null,"Norway","Production (t)","Cucumbers and gherkins","NorwayCucumbers and gherkins",2019,"tonnes",18475]
[null,null,"Norway","Area harvested (ha)","Pumpkins, squash and gourds","NorwayPumpkins, squash and gourds",2017]
[null,null,"Oman","Area harvested (ha)","Nutmeg, mace and cardamoms","OmanNutmeg, mace and cardamoms",2017]
[null,null,"Pakistan","Production (t)","Grain, mixed","PakistanGrain, mixed",2019]
[null,null,"Palestine","Production (t)","Chickpeas ","PalestineChickpeas ",2018,"tonnes",1375]
[null,null,"Palestine","Area harvested (ha)","Persimmons","PalestinePersimmons",2017]
[null,null,"Papua New Guinea","Production (t)","Fruit, pome nes","Papua New GuineaFruit, pome nes",2018]
[null,null,"Papua New Guinea","Production (t)","Safflower seed","Papua New GuineaSafflower seed",2017]
[null,null,"Paraguay","Area harvested (ha)","Fruit, citrus nes","ParaguayFruit, citrus nes",2018]
[null,null,"Peru","Area harvested (ha)","Berries nes","PeruBerries nes",2018]
[null,null,"Philippines","Area harvested (ha)","Cassava leaves","PhilippinesCassava leaves",2019]
[null,null,"Poland","Production (t)","Millet","PolandMillet",2017,"tonnes",30785]
[null,null,"Poland","Production (t)","Yautia (cocoyam)","PolandYautia (cocoyam)",2017]
[null,null,"Portugal","Area harvested (ha)","Strawberries","PortugalStrawberries",2018,"ha",320]
[null,null,"Puerto Rico","Production (t)","Cucumbers and gherkins","Puerto RicoCucumbers and gherkins",2019,"tonnes",1024]
[null,null,"Qatar","Production (t)","Canary seed","QatarCanary seed",2019]
[null,null,"R?union","Area harvested (ha)","Cabbages and other brassicas","R?unionCabbages and other brassicas",2017]
[null,null,"Republic of Korea","Area harvested (ha)","Coffee","Republic of KoreaCoffee, green",2019]
[null,null,"Republic of Korea","Area harvested (ha)","Vegetables, fresh nes","Republic of KoreaVegetables, fresh nes",2018,"ha",70093]
[null,null,"Republic of Moldova","Production (t)","Sweet potatoes","Republic of MoldovaSweet potatoes",2019]
[null,null,"Romania","Area harvested (ha)","Raspberries","RomaniaRaspberries",2019,"ha",60]
[null,null,"Russian Federation","Production (t)","Castor oil seed","Russian FederationCastor oil seed",2017,"tonnes",118]
[null,null,"Rwanda","Production (t)","Oil palm fruit","RwandaOil palm fruit",2017]
[null,null,"Saint Kitts and Nevis","Area harvested (ha)","Dates","Saint Kitts and NevisDates",2017]
[null,null,"Saint Lucia","Area harvested (ha)","Buckwheat","Saint LuciaBuckwheat",2019]
[null,null,"Saint Vincent and the Grenadines","Area harvested (ha)","Beans","Saint Vincent and the GrenadinesBeans (dry)",2018]
[null,null,"Saint Vincent and the Grenadines","Area harvested (ha)","Grapes","Saint Vincent and the GrenadinesGrapes",2017]
[null,null,"Samoa","Production (t)","Ginger","SamoaGinger",2017]
[null,null,"Sao Tome and Principe","Area harvested (ha)","Mangoes","Sao Tome and PrincipeMangoes",2017]
[null,null,"Saudi Arabia","Production (t)","Chestnut","Saudi ArabiaChestnut",2018]
[null,null,"Saudi Arabia","Production (t)","Sesame seed","Saudi ArabiaSesame seed",2018,"tonnes",3132]
[null,null,"Serbia","Production (t)","Areca nuts","SerbiaAreca nuts",2019]
[null,null,"Serbia","Area harvested (ha)","Jojoba seed","SerbiaJojoba seed",2018]
[null,null,"Serbia and Montenegro","Area harvested (ha)","Sugar beet","Serbia and MontenegroSugar beet",2017]
[null,null,"Seychelles","Production (t)","Mushrooms","SeychellesMushrooms",2018]
[null,null,"Sierra Leone","Area harvested (ha)","Pigeon peas","Sierra LeonePigeon peas",2018]
[null,null,"Sierra Leone","Area harvested (ha)","String beans","Sierra LeoneString beans",2019]
[null,null,"Singapore","Production (t)","Yams","SingaporeYams",2017]
[null,null,"Slovakia","Production (t)","Wheat","SlovakiaWheat",2019,"tonnes",1939130]
[null,null,"Slovenia","Production (t)","Sesame seed","SloveniaSesame seed",2018]
[null,null,"Solomon Islands","Area harvested (ha)","Okra","Solomon IslandsOkra",2019]
[null,null,"Somalia","Production (t)","Oranges","SomaliaOranges",2019,"tonnes",10883]
[null,null,"Somalia","Area harvested (ha)","Tangerines, mandarins, clementines, satsumas","SomaliaTangerines, mandarins, clementines, satsumas",2017]
[null,null,"South Sudan","Area harvested (ha)","Kiwi fruit","South SudanKiwi fruit",2017]
[null,null,"Spain","Production (t)","Apricots","SpainApricots",2017,"tonnes",162872]
[null,null,"Spain","Production (t)","Spices nes","SpainSpices nes",2019]
[null,null,"Sri Lanka","Production (t)","Vanilla","Sri LankaVanilla",2018]
[null,null,"Sudan","Production (t)","Cabbages and other brassicas","SudanCabbages and other brassicas",2017,"tonnes",3200]
[null,null,"Sudan (former)","Area harvested (ha)","Cocoa","Sudan (former)Cocoa, beans",2017]
[null,null,"Suriname","Area harvested (ha)","Coconuts","SurinameCoconuts",2017,"ha",1103]
[null,null,"Sweden","Area harvested (ha)","Bastfibres, other","SwedenBastfibres, other",2018]
[null,null,"Sweden","Area harvested (ha)","Manila fibre (abaca)","SwedenManila fibre (abaca)",2018]
[null,null,"Switzerland","Area harvested (ha)","Tangerines, mandarins, clementines, satsumas","SwitzerlandTangerines, mandarins, clementines, satsumas",2019]
[null,null,"Syrian Arab Republic","Area harvested (ha)","Cassava leaves","Syrian Arab RepublicCassava leaves",2018]
[null,null,"Tajikistan","Production (t)","Potatoes","TajikistanPotatoes",2017,"tonnes",782892]
[null,null,"Thailand","Production (t)","Cucumbers and gherkins","ThailandCucumbers and gherkins",2018,"tonnes",175184]
[null,null,"Thailand","Area harvested (ha)","Plums and sloes","ThailandPlums and sloes",2017]
[null,null,"Timor-Leste","Production (t)","Mustard seed","Timor-LesteMustard seed",2019]
[null,null,"Togo","Area harvested (ha)","String beans","TogoString beans",2017]
[null,null,"Tokelau","Area harvested (ha)","Plantains and others","TokelauPlantains and others",2019]
[null,null,"Tonga","Area harvested (ha)","Persimmons","TongaPersimmons",2018]
[null,null,"Trinidad and Tobago","Area harvested (ha)","Fonio","Trinidad and TobagoFonio",2019]
[null,null,"Tunisia","Area harvested (ha)","Linseed","TunisiaLinseed",2019,"ha",989]
[null,null,"Tunisia","Production (t)","Olives","TunisiaOlives",2017,"tonnes",500000]
[null,null,"Turkey","Production (t)","Lemons","TurkeyLemons",2019,"tonnes",950000]
[null,null,"Turkmenistan","Area harvested (ha)","Quinces","TurkmenistanQuinces",2017]
[null,null,"Tuvalu","Area harvested (ha)","Millet","TuvaluMillet",2019]
[null,null,"Tuvalu","Production (t)","Walnuts, with shell","TuvaluWalnuts, with shell",2017]
[null,null,"Uganda","Area harvested (ha)","Strawberries","UgandaStrawberries",2017]
[null,null,"United Arab Emirates","Production (t)","Broad beans, horse Beans (dry)","United Arab EmiratesBroad beans, horse Beans (dry)",2017]
[null,null,"United Arab Emirates","Production (t)","Watermelons","United Arab EmiratesWatermelons",2017,"tonnes",1111]
[null,null,"United Kingdom of Great Britain and Northern Ireland","Production (t)","Tung nuts","United Kingdom of Great Britain and Northern IrelandTung nuts",2018]
[null,null,"United Republic of Tanzania","Area harvested (ha)","Coffee","United Republic of TanzaniaCoffee, green",2018,"ha",147690]
[null,null,"United States of America","Production (t)","Ramie","United States of AmericaRamie",2019]
[null,null,"United States of America","Production (t)","Sweet potatoes","United States of AmericaSweet potatoes",2018,"tonnes",1241850]
[null,null,"Uruguay","Area harvested (ha)","Quinces","UruguayQuinces",2019,"ha",180]
[null,null,"Uzbekistan","Area harvested (ha)","Apples","UzbekistanApples",2018,"ha",98117]
[null,null,"Uzbekistan","Production (t)","Mustard seed","UzbekistanMustard seed",2017]
[null,null,"Vanuatu","Production (t)","Currants","VanuatuCurrants",2019]
[null,null,"Venezuela (Bolivarian Republic of)","Production (t)","Poppy seed","Venezuela (Bolivarian Republic of)Poppy seed",2017]
[null,null,"Viet Nam","Production (t)","Hemp tow waste","Viet NamHemp tow waste",2019]
[null,null,"Yemen","Production (t)","Mate","YemenMate",2018]
[null,null,"Yugoslav SFR","Production (t)","Bambara beans","Yugoslav SFRBambara beans",2019]
[null,null,"Yugoslav SFR","Area harvested (ha)","Mangoes","Yugoslav SFRMangoes",2018]
[null,null,"Zambia","Production (t)","Fruit, citrus nes","ZambiaFruit, citrus nes",2017,"tonnes"]
[null,null,"Zimbabwe","Area harvested (ha)","Pears","ZimbabwePears",2019,"ha",105]
[null,null,"Zimbabwe","Production (t)","Triticale","ZimbabweTriticale",2018]
[null,null,"Zimbabwe","Production (t)","Triticale","ZimbabweTriticale",2019]
[null,null,"Zimbabwe","Area harvested (ha)","Tung nuts","ZimbabweTung nuts",2017]
[null,null,"Zimbabwe","Area harvested (ha)","Tung nuts","ZimbabweTung nuts",2018]
[null,null,"Zimbabwe","Area harvested (ha)","Tung nuts","ZimbabweTung nuts",2019]
[null,null,"Zimbabwe","Production (t)","Tung nuts","ZimbabweTung nuts",2017]
[null,null,"Zimbabwe","Production (t)","Tung nuts","ZimbabweTung nuts",2018]
[null,null,"Zimbabwe","Production (t)","Tung nuts","ZimbabweTung nuts",2019]
[null,null,"Zimbabwe","Area harvested (ha)","Vanilla","ZimbabweVanilla",2017,"ha",24]
[null,null,"Zimbabwe","Area harvested (ha)","Vanilla","ZimbabweVanilla",2018,"ha",24]
[null,null,"Zimbabwe","Area harvested (ha)","Vanilla","ZimbabweVanilla",2019,"ha",24]
[null,null,"Zimbabwe","Production (t)","Vanilla","ZimbabweVanilla",2017,"tonnes",10]
[null,null,"Zimbabwe","Production (t)","Vanilla","ZimbabweVanilla",2018,"tonnes",10]
[null,null,"Zimbabwe","Production (t)","Vanilla","ZimbabweVanilla",2019,"tonnes",10]
[null,null,"Zimbabwe","Area harvested (ha)","Vegetables, fresh nes","ZimbabweVegetables, fresh nes",2017,"ha",26216]
[null,null,"Zimbabwe","Area harvested (ha)","Vegetables, fresh nes","ZimbabweVegetables, fresh nes",2018,"ha",26310]
[null,null,"Zimbabwe","Area harvested (ha)","Vegetables, fresh nes","ZimbabweVegetables, fresh nes",2019,"ha",26146]
[null,null,"Zimbabwe","Production (t)","Vegetables, fresh nes","ZimbabweVegetables, fresh nes",2017,"tonnes",183695]
[null,null,"Zimbabwe","Production (t)","Vegetables, fresh nes","ZimbabweVegetables, fresh nes",2018,"tonnes",184775]
[null,null,"Zimbabwe","Production (t)","Vegetables, fresh nes","ZimbabweVegetables, fresh nes",2019,"tonnes",185240]
[null,null,"Zimbabwe","Area harvested (ha)","Vegetables, leguminous nes","ZimbabweVegetables, leguminous nes",2017,"ha",163]
[null,null,"Zimbabwe","Area harvested (ha)","Vegetables, leguminous nes","ZimbabweVegetables, leguminous nes",2018,"ha",166]
[null,null,"Zimbabwe","Area harvested (ha)","Vegetables, leguminous nes","ZimbabweVegetables, leguminous nes",2019,"ha",163]
[null,null,"Zimbabwe","Production (t)","Vegetables, leguminous nes","ZimbabweVegetables, leguminous nes",2017,"tonnes",818]
[null,null,"Zimbabwe","Production (t)","Vegetables, leguminous nes","ZimbabweVegetables, leguminous nes",2018,"tonnes",833]
[null,null,"Zimbabwe","Production (t)","Vegetables, leguminous nes","ZimbabweVegetables, leguminous nes",2019,"tonnes",816]
[null,null,"Zimbabwe","Area harvested (ha)","Vetches","ZimbabweVetches",2017]
[null,null,"Zimbabwe","Area harvested (ha)","Vetches","ZimbabweVetches",2018]
[null,null,"Zimbabwe","Area harvested (ha)","Vetches","ZimbabweVetches",2019]
[null,null,"Zimbabwe","Production (t)","Vetches","ZimbabweVetches",2017]
[null,null,"Zimbabwe","Production (t)","Vetches","ZimbabweVetches",2018]
[null,null,"Zimbabwe","Production (t)","Vetches","ZimbabweVetches",2019]
[null,null,"Zimbabwe","Area harvested (ha)","Walnuts, with shell","ZimbabweWalnuts, with shell",2017]
[null,null,"Zimbabwe","Area harvested (ha)","Walnuts, with shell","ZimbabweWalnuts, with shell",2018]
[null,null,"Zimbabwe","Area harvested (ha)","Walnuts, with shell","ZimbabweWalnuts, with shell",2019]
[null,null,"Zimbabwe","Production (t)","Walnuts, with shell","ZimbabweWalnuts, with shell",2017]
[null,null,"Zimbabwe","Production (t)","Walnuts, with shell","ZimbabweWalnuts, with shell",2018]
[null,null,"Zimbabwe","Production (t)","Walnuts, with shell","ZimbabweWalnuts, with shell",2019]
[null,null,"Zimbabwe","Area harvested (ha)","Watermelons","ZimbabweWatermelons",2017]
[null,null,"Zimbabwe","Area harvested (ha)","Watermelons","ZimbabweWatermelons",2018]
[null,null,"Zimbabwe","Area harvested (ha)","Watermelons","ZimbabweWatermelons",2019]
[null,null,"Zimbabwe","Production (t)","Watermelons","ZimbabweWatermelons",2017]
[null,null,"Zimbabwe","Production (t)","Watermelons","ZimbabweWatermelons",2018]
[null,null,"Zimbabwe","Production (t)","Watermelons","ZimbabweWatermelons",2019]
[null,null,"Zimbabwe","Area harvested (ha)","Wheat","ZimbabweWheat",2017,"ha",22070]
[null,null,"Zimbabwe","Area harvested (ha)","Wheat","ZimbabweWheat",2018,"ha",27767]
[null,null,"Zimbabwe","Area harvested (ha)","Wheat","ZimbabweWheat",2019,"ha",43769]
[null,null,"Zimbabwe","Production (t)","Wheat","ZimbabweWheat",2017,"tonnes",38715]
[null,null,"Zimbabwe","Production (t)","Wheat","ZimbabweWheat",2018,"tonnes",45000]
[null,null,"Zimbabwe","Production (t)","Wheat","ZimbabweWheat",2019,"tonnes",80000]
[null,null,"Zimbabwe","Area harvested (ha)","Yams","ZimbabweYams",2017]
[null,null,"Zimbabwe","Area harvested (ha)","Yams","ZimbabweYams",2018]
[null,null,"Zimbabwe","Area harvested (ha)","Yams","ZimbabweYams",2019]
[null,null,"Zimbabwe","Production (t)","Yams","ZimbabweYams",2017]
[null,null,"Zimbabwe","Production (t)","Yams","ZimbabweYams",2018]
[null,null,"Zimbabwe","Production (t)","Yams","ZimbabweYams",2019]
[null,null,"Zimbabwe","Area harvested (ha)","Yautia (cocoyam)","ZimbabweYautia (cocoyam)",2017]
[null,null,"Zimbabwe","Area harvested (ha)","Yautia (cocoyam)","ZimbabweYautia (cocoyam)",2018]
[null,null,"Zimbabwe","Area harvested (ha)","Yautia (cocoyam)","ZimbabweYautia (cocoyam)",2019]
[null,null,"Zimbabwe","Production (t)","Yautia (cocoyam)","ZimbabweYautia (cocoyam)",2017]
[null,null,"Zimbabwe","Production (t)","Yautia (cocoyam)","ZimbabweYautia (cocoyam)",2018]
[null,null,"Zimbabwe","Production (t)","Yautia (cocoyam)","ZimbabweYautia (cocoyam)",2019]

{"sheet":"Livestock lists","index":34,"n_rows":2,"n_cols":2,"rows_kept":2,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Animal protein production type"]

{"sheet":"Lists","index":35,"n_rows":49,"n_cols":9,"rows_kept":49,"cut":false,"hidden":true,"merged":[]}
[]
[]
[null,"Nitrogen conversions"]
[null,1000000,"Convert from Gigagrams to kg"]
[null,298,"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,"Meat (cattle)","Meat (pig)","Meat (chicken)","Milk (cattle)","Eggs","Live animal (cattle)","Live animal (pig)","Live animal (chicken)"]
[null,"Aggregated (if type unknown)","Aggregated (if type unknown)","Aggregated (if type unknown)","Aggregated (if type unknown)","Aggregated (if type unknown)","Aggregated (if type unknown)","Aggregated (if type unknown)","Aggregated (if type unknown)"]
[null,"Grassland (mostly extensive grazing)","Backyard (small-scale at home)","Backyard (small-scale at home)","Grassland (mostly extensive grazing)","Backyard (small-scale at home)","Grassland (mostly extensive grazing)","Backyard (small-scale at home)","Backyard (small-scale at home)"]
[null,"Mixed (grazing and grains)","Intermediate (semi-industrialised)","Layers (sold for meat)","Mixed (grazing and grains)","Layers (industrial)","Mixed (grazing and grains)","Intermediate (semi-industrialised)","Layers (sold for meat)"]
[null,"Grass+lot (grazed with feedlot finishing)","Industrial","Broilers",null,null,"Grass+lot (grazed with feedlot finishing)","Industrial","Broilers"]
[null,"Mixed+lot (mixed with feedlot finishing)",null,null,null,null,"Mixed+lot (mixed with feedlot finishing)"]
[]
[]
[null,"Livestock list","<< defines production type drop-down list in interface tab"]
[null,{"$f":"IF(IFERROR(HLOOKUP(Commodity,$B$36:$I$41,2,FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Commodity,$B$36:$I$41,2,FALSE),\"\"))","v":""}]
[null,{"$f":"IF(IFERROR(HLOOKUP(Commodity,$B$36:$I$41,3,FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Commodity,$B$36:$I$41,3,FALSE),\"\"))","v":""}]
[null,{"$f":"IF(IFERROR(HLOOKUP(Commodity,$B$36:$I$41,4,FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Commodity,$B$36:$I$41,4,FALSE),\"\"))","v":""}]
[null,{"$f":"IF(IFERROR(HLOOKUP(Commodity,$B$36:$I$41,5,FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Commodity,$B$36:$I$41,5,FALSE),\"\"))","v":""}]
[null,{"$f":"IF(IFERROR(HLOOKUP(Commodity,$B$36:$I$41,6,FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Commodity,$B$36:$I$41,6,FALSE),\"\"))","v":""}]

{"sheet":"Analysis ->>","index":36,"n_rows":7,"n_cols":2,"rows_kept":7,"cut":false,"hidden":true,"merged":[]}
[]
[]
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[null,"This sheet is left intentionally empty. Every worksheet on the right of this worksheet is filled with the analysis of data."]

{"sheet":"Rice","index":37,"n_rows":124,"n_cols":18,"rows_kept":124,"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 (2017-2019) / Production (2017-2019)  = 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 2017-2019 (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)"]
["Angola",{"$f":"INDEX(Countries[Region],MATCH(EF!B11,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":9742.3333333333339},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":72640.233333333337},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":72640.233333333337},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":7.4561432921613573},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":3.5044641840091301E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.6129787118219401E-3},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":7.4561432921613573},{"$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"},null,"Africa",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":27799780},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":2.8986977792332866},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":1.340965947692152}]
["Antigua and Barbuda",{"$f":"INDEX(Countries[Region],MATCH(EF!B12,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$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 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.85913225014306349},{"$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$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.85913225014306349},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"},null,"Latin America and Caribbean",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":29715821.666666668},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":1.0883251707199226},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":0.85913225014306349}]
["Argentina",{"$f":"INDEX(Countries[Region],MATCH(EF!B13,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1295391.3333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1530250.4000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1530250.4000000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.1813035648944181},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.3592647306347966E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":5.1496149666173906E-2},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":1.1813035648944181},{"$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$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1813035648944181},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,"South Asia",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":263833129.66666669},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":0.80952086440751569},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":0.75747358776546048}]
["Bahamas",{"$f":"INDEX(Countries[Region],MATCH(EF!B14,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$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 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.85913225014306349},{"$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$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.85913225014306349},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"},null,"Europe and Central Asia",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1968940.3333333333},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":1.2281076616596953},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":1.0998330404798113}]
["Bangladesh",{"$f":"INDEX(Countries[Region],MATCH(EF!B15,Countries[Country],0))","v":"South Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":54383448},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":32142762.099999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":32142762.099999998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.59103942986476321},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.20612819955063791},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.12182989354145916},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.59103942986476321},{"$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"},null,"East Asia and Pacific",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":380517354.66666681},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":1.8245266427073072},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":0.95592838199274588}]
["Barbados",{"$f":"INDEX(Countries[Region],MATCH(EF!B16,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$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 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":" "},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.85913225014306349},{"$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$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.85913225014306349},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"},null,"Middle East and North Africa",{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":12954805.333333332},{"$f":"AVERAGEIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[Emission factor Rice (tCO2e/t)])","v":1.1292281806176498},{"$f":"SUMIF(Rice_EF[Region],Rice_Regional[[#This Row],[Region]],Rice_EF[contribution to regional weighted average emission factor])","v":1.231778426826226}]
["Belize",{"$f":"INDEX(Countries[Region],MATCH(EF!B17,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":15342},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2379.9333333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2379.9333333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.15512536392473819},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":5.1629062026609508E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":8.008977035970681E-5},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]=\"N/A\", VLOOKUP(Rice_EF[[#This Row],[Region]],Rice_Regional[#All],4,FALSE),Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]])","v":0.15512536392473819},{"$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Benin",{"$f":"INDEX(Countries[Region],MATCH(EF!B18,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":381371.33333333331},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":85684.133333333346},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":85684.133333333346},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.22467376502691169},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.37185018490554E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.0821874609559263E-3},{"$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":0.22467376502691169},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Bhutan",{"$f":"INDEX(Countries[Region],MATCH(EF!B19,Countries[Country],0))","v":"South Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":66741},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":52141.2},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":52141.2},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.78124690969568922},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":2.5296671454537283E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.9762946399444408E-4},{"$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":0.78124690969568922},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.78124690969568922},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Bolivia (Plurinational State of)",{"$f":"INDEX(Countries[Region],MATCH(EF!B20,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":539926.33333333337},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":346188.93333333335},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":346188.93333333335},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.64117808664021447},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.8169658553947664E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.1649986906526169E-2},{"$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":0.64117808664021447},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B21,Countries[Country],0))","v":"Europe and Central Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":1.0998330404798113},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.0998330404798113},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"},null,"Sense check compared to CLUNE data"]
["Botswana",{"$f":"INDEX(Countries[Region],MATCH(EF!B22,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Brazil",{"$f":"INDEX(Countries[Region],MATCH(EF!B23,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":11547272.333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3388213.3},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3388213.3},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.29342109566596924},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.38859004010938508},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.1140205153337787},{"$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":0.29342109566596924},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"},null,"FAOSTAT"]
["Burkina Faso",{"$f":"INDEX(Countries[Region],MATCH(EF!B24,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":350828.33333333331},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1170587.7666666668},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1170587.7666666668},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":3.3366397620868713},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.2619824089735002E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.2107806848351567E-2},{"$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":3.3366397620868713},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":3.3366397620868713},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,"Min","Max"]
["Burundi",{"$f":"INDEX(Countries[Region],MATCH(EF!B25,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":139601.66666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":103429.86666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":103429.86666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.74089277826195965},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":5.0216824257841844E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.7205282439885011E-3},{"$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":0.74089277826195965},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.74089277826195965},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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":0.10680420429266019},{"$f":"MAX(Rice_EF[Emission factor Rice (Regional average for gaps) (tCO2e/t)])","v":30.799600798403191}]
["Cabo Verde",{"$f":"INDEX(Countries[Region],MATCH(EF!B26,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B27,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":10765333.333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":13267211.166666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":13267211.166666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.232401334530592},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":2.8291307088381727E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.4866244611336437E-2},{"$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":1.232401334530592},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.232401334530592},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Cameroon",{"$f":"INDEX(Countries[Region],MATCH(EF!B28,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":290468.66666666669},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":472235.23333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":472235.23333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.6257699625662434},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.0448595876178397E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.6987013326484359E-2},{"$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":1.6257699625662434},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6257699625662434},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,"CLUNE"]
["Central African Republic",{"$f":"INDEX(Countries[Region],MATCH(EF!B29,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":11403.666666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":12907.933333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":12907.933333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.1319107889275379},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.1020708317355989E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.6431782313864834E-4},{"$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":1.1319107889275379},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1319107889275379},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,"Min","Max"]
["Chad",{"$f":"INDEX(Countries[Region],MATCH(EF!B30,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":271219.33333333331},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":371864.9},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":371864.9},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.3710855175024397},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":9.7561683341858569E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.337654110931813E-2},{"$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":1.3710855175024397},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.3710855175024397},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,0.66,5.69]
["Chile",{"$f":"INDEX(Countries[Region],MATCH(EF!B31,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":165190.33333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":158351.79999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":158351.79999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.95860209737857938},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":5.5590027153323987E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":5.3288716622508555E-3},{"$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":0.95860209737857938},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.95860209737857938},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B32,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":213304652},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":149942931.59999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":149942931.59999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.70295199937786634},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.56056484516154292},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.39405017868725067},{"$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":0.70295199937786634},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.70295199937786634},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"},null,"No. of countries below CLUNE's MIN","No. of countries above CLUNE's MAX","No. of countries with gaps","No. of countries used"]
["Colombia",{"$f":"INDEX(Countries[Region],MATCH(EF!B33,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":3083384.6666666665},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3200706},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3200706},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.0380495286889277},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.10376238965404119},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.10771049967601433},{"$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":1.0380495286889277},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.0380495286889277},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B34,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":30543},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":210091.1},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":210091.1},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":6.8785351799102905},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.0986777593203975E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":7.5572936188703652E-3},{"$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":6.8785351799102905},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"},null,{"$f":"COUNTIF(Rice_EF[Emission factor Rice (tCO2e/t)], \"<0.66\")","v":23},{"$f":"COUNTIF(Rice_EF[Emission factor Rice (tCO2e/t)], \">5.69\")","v":5},{"$f":"COUNTIF(Rice_EF[Emission factor Rice (tCO2e/t)], \"N/A\")","v":27},{"$f":"117-O30-P30-Q30","v":62}]
["Congo",{"$f":"INDEX(Countries[Region],MATCH(EF!B35,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1214},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3971.6333333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3971.6333333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":3.2715266337177376},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.3669410333463068E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.42865638984673E-4},{"$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":3.2715266337177376},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":3.2715266337177376},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B36,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":163168.33333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":28422.333333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":28422.333333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.17419025341927047},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":5.4909581556805906E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":9.5647139265261211E-4},{"$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":0.17419025341927047},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B37,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":2003600.3333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":646132.56666666665},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":646132.56666666665},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.32248575522630013},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":7.2072524794560722E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.3242362589440155E-2},{"$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":0.32248575522630013},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Democratic Republic of the Congo",{"$f":"INDEX(Countries[Region],MATCH(EF!B38,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1292908},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1133812.0666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1133812.0666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.87694721253690644},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.6507850062122796E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.0784929473062975E-2},{"$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":0.87694721253690644},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.87694721253690644},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Dominica",{"$f":"INDEX(Countries[Region],MATCH(EF!B39,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":0.85913225014306349},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.85913225014306349},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B40,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":929921.66666666663},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1440600.0333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1440600.0333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.5491627789437463},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":3.1293823105345731E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.8479225965651407E-2},{"$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":1.5491627789437463},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.5491627789437463},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B41,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1172131},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1790795.1333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1790795.1333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.5278114249459602},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":3.94446774229643E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":6.0264028820112836E-2},{"$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":1.5278114249459602},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.5278114249459602},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B42,Countries[Country],0))","v":"Middle East and North Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":4296222},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":4468264.2666666657},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":4468264.2666666657},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.0400450131922108},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.33163153667354739},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.34491172593459274},{"$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":1.0400450131922108},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.0400450131922108},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B43,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":26661},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3526.4333333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3526.4333333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.13226935723841315},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":8.9719881546828056E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.1867191063705512E-4},{"$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":0.13226935723841315},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B44,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B45,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B46,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":974.66666666666663},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":572.29999999999995},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":572.29999999999995},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.58717510259917916},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":3.5060229493422848E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.0586493849951329E-5},{"$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":0.58717510259917916},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B47,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":164500.66666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":227418.76666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":227418.76666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.3824793009957408},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":5.9173369957124357E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":8.1805959135887642E-3},{"$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":1.3824793009957408},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.3824793009957408},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B48,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":7293.333333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":9529.5},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":9529.5},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.3066042047531994},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.9166887512193216E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.5043535815463244E-5},{"$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":1.3066042047531994},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.3066042047531994},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B49,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1700},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1171.4333333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1171.4333333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.68907843137254887},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":6.1151563069923571E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.2138223156202422E-5},{"$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":0.68907843137254887},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.68907843137254887},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B50,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":26000},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":398579.33333333331},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":398579.33333333331},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":15.329974358974358},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":9.3525919989294879E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.4337499553353778E-2},{"$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":15.329974358974358},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Ghana",{"$f":"INDEX(Countries[Region],MATCH(EF!B51,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":805493.66666666663},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":533518.8666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":533518.8666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.662350169523369},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":2.8974821623288623E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.9191478014094598E-2},{"$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":0.662350169523369},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.662350169523369},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B52,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":0.85913225014306349},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.85913225014306349},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B53,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":35465},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":9347.9},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":9347.9},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.26358099534752572},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.1934719624388645E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.1457652777900074E-4},{"$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":0.26358099534752572},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B54,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":2378939.3333333335},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":5770170.4000000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":5770170.4000000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":2.4255222985930143},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":8.0056320165694E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.19417838970519238},{"$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":2.4255222985930143},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.4255222985930143},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B55,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":176000},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":220260.9},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":220260.9},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.2514823863636364},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":5.9227707708794635E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":7.4122432982250252E-3},{"$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":1.2514823863636364},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2514823863636364},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B56,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":758998},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1355148.6666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1355148.6666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.7854443182546815},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":2.5541881645204382E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.5603607460963702E-2},{"$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":1.7854443182546815},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.7854443182546815},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B57,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":176576.66666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":202720.46666666665},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":202720.46666666665},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.1480591999697958},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":5.9421768190492004E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":6.821970764956691E-3},{"$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":1.1480591999697958},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1480591999697958},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B58,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":58601.666666666664},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":12111.500000000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":12111.500000000002},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.20667500924319562},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.9720695366940606E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.0757748972446948E-4},{"$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":0.20667500924319562},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["India",{"$f":"INDEX(Countries[Region],MATCH(EF!B59,Countries[Country],0))","v":"South Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":173620576.66666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":129764716.56666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":129764716.56666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.74740401776110521},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.65806965518706162},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.49184390425347496},{"$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":0.74740401776110521},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.74740401776110521},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B60,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":56352189},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":66159414.633333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":66159414.633333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.1740345105907657},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.14809361073521737},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.17386700980114028},{"$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":1.1740345105907657},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1740345105907657},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B61,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2.0666666666666669},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2.0666666666666669},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":2.0666666666666669},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":3.3652106652724221E-8},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":6.9547687082296727E-8},{"$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":2.0666666666666669},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.0666666666666669},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B62,Countries[Country],0))","v":"Europe and Central Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":511032.66666666669},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":631749.16666666674},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":631749.16666666674},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.2362207112656856},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.25954705585288601},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.32085744599336935},{"$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":1.2362207112656856},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.2362207112656856},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B63,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":118129.33333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":52167.366666666676},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":52167.366666666676},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.44161230064223406},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.2492902222007987E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.8765388311226447E-3},{"$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":0.44161230064223406},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B64,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B65,Countries[Country],0))","v":"Europe and Central Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":40060.666666666664},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":68424.599999999991},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":68424.599999999991},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.7080244961807924},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":2.034630810718659E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.4751992653916548E-2},{"$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":1.7080244961807924},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.7080244961807924},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B66,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":3719659.6666666665},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2373278.333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2373278.333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.63803641892327245},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":9.7752694352799974E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":6.2369779044961693E-3},{"$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":0.63803641892327245},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Lebanon",{"$f":"INDEX(Countries[Region],MATCH(EF!B67,Countries[Country],0))","v":"Middle East and North Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":1.231778426826226},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.231778426826226},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B68,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B69,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":258163.33333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":78113.999999999985},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":78113.999999999985},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.30257588864930463},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":9.286524329808846E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.8098783515552997E-3},{"$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":0.30257588864930463},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Madagascar",{"$f":"INDEX(Countries[Region],MATCH(EF!B70,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":3953881.6666666665},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3851524},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3851524},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.97411210671032566},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.14222708477069482},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.1385451251772496},{"$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":0.97411210671032566},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.97411210671032566},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B71,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":122040},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":133093.16666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":133093.16666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.0905700316836009},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.3899627982667486E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.7875618679955973E-3},{"$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":1.0905700316836009},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.0905700316836009},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B72,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":2520861.6666666665},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3456586.7666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3456586.7666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.3711925618026113},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":6.6248270565082146E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":9.0839135831127515E-3},{"$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":1.3711925618026113},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.3711925618026113},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B73,Countries[Country],0))","v":"South Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":0.75747358776546048},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.75747358776546048},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B74,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":3023807},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1739197.4666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1739197.4666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.57516814620333456},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.10877089674810377},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":6.2561555043481154E-2},{"$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":0.57516814620333456},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Marshall Islands",{"$f":"INDEX(Countries[Region],MATCH(EF!B75,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B76,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":335666.66666666669},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":504660.79999999993},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":504660.79999999993},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.5034581926514397},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.2074436080669224E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.8153409847128283E-2},{"$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":1.5034581926514397},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.5034581926514397},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B77,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":66.666666666666671},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":123.86666666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":123.86666666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.8579999999999999},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":2.3981005125460225E-6},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.4556707523105097E-6},{"$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":1.8579999999999999},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.8579999999999999},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B78,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":264849},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":134177.66666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":134177.66666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.50661949513370508},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":8.9127267948673587E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.5153611490803469E-3},{"$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":0.50661949513370508},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B79,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":171.66666666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":648.99999999999989},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":648.99999999999989},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":3.780582524271844},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.5114017681807618E-7},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.7055726684753284E-6},{"$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":3.780582524271844},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":3.780582524271844},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Mongolia",{"$f":"INDEX(Countries[Region],MATCH(EF!B80,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B81,Countries[Country],0))","v":"Middle East and North Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":61777.666666666664},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":62921.2},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":62921.2},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.0185104649468795},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.7687066750211815E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.8569776527711108E-3},{"$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":1.0185104649468795},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.0185104649468795},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B82,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":162655},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1253990.3666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1253990.3666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":7.7095101083069482},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":5.8509455830225996E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.5107924115466623E-2},{"$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":7.7095101083069482},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
["Myanmar",{"$f":"INDEX(Countries[Region],MATCH(EF!B83,Countries[Country],0))","v":"South Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":26796596.333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":30697145.333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":30697145.333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.1455613597891146},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.10156645743159252},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.11635060908429835},{"$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":1.1455613597891146},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1455613597891146},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B84,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B85,Countries[Country],0))","v":"South Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":5330754.333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":4411686.8999999994},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":4411686.8999999994},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.82759148595792842},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":2.0205022546138689E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.6721504632772364E-2},{"$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":0.82759148595792842},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.82759148595792842},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Nicaragua",{"$f":"INDEX(Countries[Region],MATCH(EF!B86,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":443003.33333333331},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":55164.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":55164.6},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.12452411945734043},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.4907995420845673E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.8564050026548707E-3},{"$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":0.12452411945734043},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B87,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":111999.66666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":73630.666666666672},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":73630.666666666672},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.65741862326971212},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.0287968705747549E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.6486060920865801E-3},{"$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":0.65741862326971212},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B88,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":8221373.333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":17148685.500000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":17148685.500000004},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":2.0858662907900225},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.295735194067483},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.61686407230560825},{"$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":2.0858662907900225},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.0858662907900225},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Pakistan",{"$f":"INDEX(Countries[Region],MATCH(EF!B89,Countries[Country],0))","v":"Middle East and North Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":8596805.666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":11426264.266666668},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":11426264.266666668},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.3291290637138595},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.66359975665143145},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.88200972323886206},{"$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":1.3291290637138595},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.3291290637138595},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B90,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":346281},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":36984.266666666663},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":36984.266666666663},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.10680420429266019},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.1653085143811998E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.24459848633946E-3},{"$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":0.10680420429266019},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B91,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":868.66666666666663},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2677.1333333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2677.1333333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":3.0818879508825785},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":2.2828568947337989E-6},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":7.0355091574693137E-6},{"$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":3.0818879508825785},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":3.0818879508825785},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B92,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":962600},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":580160},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":580160},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.60270101807604404},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":3.2393517863912334E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.9523606195644482E-2},{"$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":0.60270101807604404},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B93,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":3288137.6666666665},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2807002.2666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2807002.2666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.85367540876481962},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.11065275944750644},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":9.4461539652305318E-2},{"$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":0.85367540876481962},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.85367540876481962},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B94,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":19052422.666666668},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":44539937.20000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":44539937.20000001},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":2.3377571440258484},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":5.0069786392151781E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.11705100083810104},{"$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":2.3377571440258484},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.3377571440258484},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B95,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":118138.33333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":64473.566666666673},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":64473.566666666673},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.54574637078001786},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.2496139657699928E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.3192113990350527E-3},{"$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":0.54574637078001786},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B96,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":0.85913225014306349},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.85913225014306349},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B97,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":0.85913225014306349},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.85913225014306349},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B98,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B99,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B100,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1124528.6666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":637107.79999999993},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":637107.79999999993},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.56655541017777511},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.0450991578590431E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.2917728125906027E-2},{"$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":0.56655541017777511},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B101,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B102,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":921088},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1332345.5333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1332345.5333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.4464910337919215},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":3.313292407349986E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.7926477595626051E-2},{"$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":1.4464910337919215},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.4464910337919215},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Solomon Islands",{"$f":"INDEX(Countries[Region],MATCH(EF!B103,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":2739.3333333333335},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":11302.8},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":11302.8},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":4.1261134095887071},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":7.1989708215358254E-6},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.9703770041976801E-5},{"$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":4.1261134095887071},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":4.1261134095887071},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B104,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1475.6666666666667},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3835.0666666666662},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":3835.0666666666662},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":2.598870566975378},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":5.3081954845206214E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.3795313008472249E-4},{"$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":2.598870566975378},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.598870566975378},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B105,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":3074.6666666666665},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":8673.6666666666661},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":8673.6666666666661},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":2.8210104076322637},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.1060039563862255E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.1200486718480026E-4},{"$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":2.8210104076322637},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.8210104076322637},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B106,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.340965947692152},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Regional average for Emission Factor"}]
["Sri Lanka",{"$f":"INDEX(Countries[Region],MATCH(EF!B107,Countries[Country],0))","v":"South Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":3635013.3333333335},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2778175.2},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":2778175.2},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.76428198337649378},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.3777698570023785E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.053004678946126E-2},{"$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":0.76428198337649378},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.76428198337649378},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B108,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":31333.333333333332},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":45302.133333333339},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":45302.133333333339},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.4458127659574471},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.1271072408966306E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.6295860374914242E-3},{"$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":1.4458127659574471},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.4458127659574471},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Tajikistan",{"$f":"INDEX(Countries[Region],MATCH(EF!B109,Countries[Country],0))","v":"Europe and Central Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":98217},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":75383.199999999997},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":75383.199999999997},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.76751682498956386},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.9883177431650633E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":3.8286177962731559E-2},{"$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":0.76751682498956386},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.76751682498956386},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B110,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":31288321.666666668},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":46398708.600000009},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":46398708.600000009},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.4829401555734882},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":8.2225741567228214E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.12193585399185085},{"$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":1.4829401555734882},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.4829401555734882},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B111,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":67701.666666666672},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":109782.03333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":109782.03333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.6215558454986334},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.7792004973327257E-4},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":2.8850729667639571E-4},{"$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":1.6215558454986334},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.6215558454986334},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B112,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":144353.66666666666},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":27270.433333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":27270.433333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.18891403289605854},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":5.1926190303184646E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":9.8095860231028204E-4},{"$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":0.18891403289605854},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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!B113,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B114,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":927},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":4847.5},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":4847.5},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":5.2292340884573898},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":3.1195502867075355E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.6312858699908068E-4},{"$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":5.2292340884573898},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":5.2292340884573898},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Turkey",{"$f":"INDEX(Countries[Region],MATCH(EF!B115,Countries[Country],0))","v":"Europe and Central Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":946666.66666666663},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":930506.1},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":930506.1},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.98292897887323949},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.48080007841781558},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.47259233012139695},{"$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":0.98292897887323949},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.98292897887323949},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B116,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B117,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":214313.33333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":167189.33333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":167189.33333333334},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.78011634056055001},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":7.7091737176816994E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":6.0140523893834176E-3},{"$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":0.78011634056055001},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.78011634056055001},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["Ukraine",{"$f":"INDEX(Countries[Region],MATCH(EF!B118,Countries[Country],0))","v":"Europe and Central Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":62573.333333333336},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":93557.333333333343},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":93557.333333333343},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.4951630087364161},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":3.1780208000208574E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.7516591411860973E-2},{"$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":1.4951630087364161},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.4951630087364161},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Direct crop Emission Factor calculation"}]
["United Republic of Tanzania",{"$f":"INDEX(Countries[Region],MATCH(EF!B119,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":3113762.6666666665},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":4616234.5},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":4616234.5},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.4825261248769979},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.11200673770320005},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.16605291480723949},{"$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":1.4825261248769979},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.4825261248769979},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B120,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1285527.3333333333},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1233119.6333333335},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1233119.6333333335},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.95923252766309675},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.3260702926325494E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.149707341650153E-2},{"$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":0.95923252766309675},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.95923252766309675},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B121,Countries[Country],0))","v":"Europe and Central Asia"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":310390},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":365885.23333333322},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":365885.23333333322},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.1787919499124753},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.15764317219025259},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":0.18582850233653594},{"$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":1.1787919499124753},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.1787919499124753},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B122,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.95592838199274588},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B123,Countries[Country],0))","v":"Latin America and Caribbean"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":601525.66666666663},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1219168.5999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":1219168.5999999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":2.0267939799742543},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":2.0242605889017707E-2},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":4.1027591754852474E-2},{"$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":2.0267939799742543},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":2.0267939799742543},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B124,Countries[Country],0))","v":"East Asia and Pacific"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":43435140},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":37475330.399999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":37475330.399999999},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":0.86278829537558754},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":0.11414759265855083},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":9.8485206891098007E-2},{"$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":0.86278829537558754},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":0.86278829537558754},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B125,Countries[Country],0))","v":"Middle East and North Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":0},{"$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},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":"N/A"},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (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":1.231778426826226},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.231778426826226},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B126,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":37023.333333333336},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":55172.7},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":55172.7},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":1.4902142792833346},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":1.3317851196424338E-3},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.9846452022282191E-3},{"$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":1.4902142792833346},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$P$26,$P$26, IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]<$O$26,$O$26,Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]))","v":1.4902142792833346},{"$f":"IF(Rice_EF[[#This Row],[Production 2017-2019 (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!B127,Countries[Country],0))","v":"Africa"},"Rice, paddy",{"$f":"INDEX(TARGET_Countries_RICE_AVERAGE[Production (t)],MATCH(Rice_EF[[#This Row],[Country]],TARGET_Countries_RICE_AVERAGE[Area],0))","v":1336},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":41148.266666666663},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from CH4 (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":41148.266666666663},{"$f":"INDEX(Emissions_RICE[Rice Cultivation - Emissions (CO2eq) from N2O (AR5)],MATCH(Rice_EF[[#This Row],[Country]],Emissions_RICE[Country],0))*1000","v":0},{"$f":"IFERROR(Rice_EF[[#This Row],[Rice Emissions 2017-2019 (t CO2e)]]/Rice_EF[[#This Row],[Production 2017-2019 (t)]],\"N/A\")","v":30.799600798403191},{"$f":"Rice_EF[[#This Row],[Production 2017-2019 (t)]]/SUMIF(Rice_EF[Region],Rice_EF[[#This Row],[Region]],Rice_EF[Production 2017-2019 (t)])","v":4.8057934271422295E-5},{"$f":"IFERROR(Rice_EF[[#This Row],[Emission factor Rice (tCO2e/t)]]*Rice_EF[[#This Row],[% Country Production / Total Regional Production]], \" \")","v":1.4801651907557062E-3},{"$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":30.799600798403191},{"$f":"IF(Rice_EF[[#This Row],[Emission factor Rice (Regional average for gaps) (tCO2e/t)]]>$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 2017-2019 (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$26), \"Capped to CLUNE's MIN/MAX\", \"Direct crop Emission Factor calculation\"))","v":"Capped to CLUNE's MIN/MAX"}]
[null,null,null,{"$f":"SUBTOTAL(109,Rice_EF[Production 2017-2019 (t)])","v":716789831.66666639}]

{"sheet":"EF","index":38,"n_rows":5041,"n_cols":129,"rows_kept":562,"cut":true,"hidden":true,"merged":[[24,9,26,12],[8,97,8,128],[8,33,8,64],[8,65,8,96],[10,9,13,12],[16,9,18,12]],"bounds":{"rows_first":250,"rows_last":62,"rows_between":250,"halvings":3}}
[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,"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,{"$f":" COUNTIF(Modelled_Crop_Emmissions[crop capped to CLUNE/POORE''s MAX], \"YES\") / COUNTA(Modelled_Crop_Emmissions[crop capped to CLUNE/POORE''s MAX])","v":3.4188034188034191E-2}]
[]
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CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":3.0372881943133579E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.15045373546488711},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.84954623964614917},{"$f":"Modelled_Crop_Emmissions[[#This 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":4.5697135451784662E-3},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX 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[null,null,null,null,null,null,null,null,null,"Belize",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":2084965.9999999998},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":1.2199980417961188E-3},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.1391972993719148},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":1.6982043265704417E-4},null,null,null,null,"Argentina",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Sesame seed",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ArgentinaSesame seed"},{"$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":0.32972017766037687},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.32972017766037687},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":2.3065962949835934E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.97693403495188014},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":7.6053134017275746E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.32211486356680274},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,"Brazil",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":1073371735.6666666},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":0.6280732710426139},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.12454953957562377},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":7.8226236728113518E-2},"Weighted average",null,null,null,"Argentina",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Soybeans",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ArgentinaSoybeans"},{"$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":3.2494719624375126E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":3.2494719624375126E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":2.3065962949835934E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.97693403495188014},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":7.4952199892114335E-4},{"$f":"Modelled_Crop_Emmissions[[#This 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":3.1745197557270836E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Chile",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":16089276.999999996},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":9.414487542681909E-3},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.40867836624637677},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":3.8474973879901089E-3},{"$f":"SUM(Regional_average_Latin_america[contribution to regional average])","v":0.1567754453597992},null,null,null,"Argentina",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Sugar cane",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ArgentinaSugar cane"},{"$f":"INDEX(Country_Emission_Factor[“Average emission factor” per country (capped) (tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))*\n(1+INDEX(CLUNEs_crop_percentages[% difference],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNEs_crop_percentages[Crop],0)))","v":0.19747520774101496},{"$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[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"YES\", INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.19747520774101496},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":2.3065962949835934E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.97693403495188014},{"$f":"Modelled_Crop_Emmissions[[#This 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":4.5549558252654049E-3},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from N2O]]","v":0.1929202515013905},{"$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":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Colombia",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":60867788.000000015},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":3.5616207731186657E-2},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.23595844985689546},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":8.4039451660319793E-3},null,null,null,null,"Argentina",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Sunflower seeds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ArgentinaSunflower seeds"},{"$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":0.5283016482967402},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.5283016482967402},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":2.3065962949835934E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.97693403495188014},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.2185786245949863E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.51611586094226347},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Costa Rica",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":12740527.333333328},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":7.4549984978731498E-3},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.18045777174873198},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":1.3453124173163327E-3},null,null,null,null,"Argentina",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Sweet potatoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ArgentinaSweet potatoes"},{"$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":6.3061628712308221E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":6.3061628712308221E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":2.3065962949835934E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.97693403495188014},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.4545771914344114E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":6.160705138855261E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Dominica",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":109607},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":6.4135494471922902E-5},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":3.6503924365855291E-2},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":2.3411972393698035E-6},null,null,null,null,"Argentina",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Tomatoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ArgentinaTomatoes"},{"$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":0.17235372923156062},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.17235372923156062},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":2.3065962949835934E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.97693403495188014},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":3.9755047327212321E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.16837822413719233},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Dominican Republic",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":13553072.666666668},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":7.9304516781826834E-3},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.16120386082915417},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":1.2784194286420934E-3},null,null,null,null,"Argentina",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Wheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ArgentinaWheat"},{"$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":0.19108783023499112},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.19108783023499112},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":2.3065962949835934E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.97693403495188014},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":4.4076248123648444E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.18668020502166977},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Ecuador",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":23297785.666666672},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":1.3632477887658132E-2},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.20761201512297331},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":2.8302662053760791E-3},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Almonds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasAlmonds"},{"$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":0.4365982235935405},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.4365982235935405},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.8979396761410199E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.433701823327586},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"El Salvador",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":9088767.333333334},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":5.3182058359739206E-3},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.15425004269618678},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":8.2033347726608692E-4},null,null,null,null,"Bahamas",{"$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":9.0330666950387703E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":9.0330666950387703E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":5.9957372609814206E-4},{"$f":"Modelled_Crop_Emmissions[[#This 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":8.9731411722948837E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Grenada",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":50806.000000000007},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":2.9728648098575048E-5},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":1.7789237491634843E-2},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":5.2884998133079015E-7},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Avocados",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasAvocados"},{"$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":0.32619407509862225},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.32619407509862225},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.1651273442432908E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.32403009788842635},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Guatemala",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":41251987.333333336},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":2.4138208376954334E-2},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.10685871941274536},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":2.5793780360793424E-3},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Bananas",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasBananas"},{"$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":7.1259085008289924E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":7.1259085008289924E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":4.7298527243500298E-4},{"$f":"Modelled_Crop_Emmissions[[#This 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":7.0786350989651706E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,"Guinea-Bissau",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":840555.33333333326},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":4.9184296563490747E-4},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":8.5536585733400061E-2},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":4.2070567997400004E-5},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Beans",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasBeans"},{"$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":0.15556948197011214},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.15556948197011214},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.0325991949468002E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.1545374313006341},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Guyana",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":2904387.3333333335},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":1.6994746481641036E-3},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.11368376709949357},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":1.9320268009338174E-4},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Buckwheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasBuckwheat"},{"$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":0.40672663482534599},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.40672663482534599},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.6996657079873848E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.40402840320272804},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Haiti",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":4754179.333333334},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":2.7818628586817459E-3},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":4.7541762903629055E-2},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":1.3225466445785931E-4},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Carrots",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasCarrots"},{"$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":5.5202074247459133E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":5.5202074247459133E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":3.6640616594886451E-4},{"$f":"Modelled_Crop_Emmissions[[#This 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":5.4835862719579832E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Honduras",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":11283789.666666666},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":6.6026022953720176E-3},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.23440553548076207},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":1.5476865266131866E-3},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Cashew nuts",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasCashew nuts"},{"$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":0.38892370492528039},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.38892370492528039},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.581497987367001E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.38634357825158527},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Jamaica",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":2001699.3333333333},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":1.1712753430661524E-3},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":5.9261980345038615E-2},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":6.9412096359414675E-5},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Cassava",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasCassava"},{"$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":6.035140583015975E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":6.035140583015975E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":4.0058507803029909E-4},{"$f":"Modelled_Crop_Emmissions[[#This 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":5.9951033546327609E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Mexico",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":140610250.49999997},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":8.2276751882985957E-2},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.25532440270202961},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":2.100726253078648E-2},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Chickpeas",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasChickpeas"},{"$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":0.16811540793544377},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.16811540793544377},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.1158733235715423E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.16700012737326589},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Nicaragua",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":10712289},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":6.2681941111529423E-3},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.15907137370973565},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":9.9709024794037392E-4},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Cocoa",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasCocoa"},{"$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":0.21127339325618455},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.21127339325618455},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.4023363260406544E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.20987180186311921},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Panama",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":4190793},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":2.4522026995034366E-3},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":9.3014586705596244E-2},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":2.2809062061265959E-4},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Coffee",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasCoffee"},{"$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":0.11667711147758411},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.11667711147758411},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":7.7444939621010018E-4},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.11590307347547558},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Paraguay",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":28508071.333333332},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":1.6681227032983144E-2},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.14797921721269131},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":2.4684749184880309E-3},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Cotton",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasCotton"},{"$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":0.59342229816018588},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.59342229816018588},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":3.9388662839502948E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.58948552423548339},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Peru",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":33918571.666666672},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":1.9847129887899686E-2},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.21609163206980211},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":4.2887986893775914E-3},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Garlic (green)",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasGarlic (green)"},{"$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":0.14302355600478053},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.14302355600478053},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":9.4932506632205841E-4},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.14207473522800235},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Saint Kitts and Nevis",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":6810.5},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":3.9850993558899602E-6},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.17349719372265207},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":6.9140355495285641E-7},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Ginger",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasGinger"},{"$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":0.22080829698983659},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.22080829698983659},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.4656246637954583E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.21934345087831938},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Saint Lucia",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":48570},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":2.8420273946931267E-5},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.107834830845635},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":3.0646954336539407E-6},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Grapes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasGrapes"},{"$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":0.10287659291571932},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.10287659291571932},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":6.8284785472288404E-4},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.10219410779558062},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,"Uruguay",{"$f":"INDEX(Country_Emission_Factor[Total Crop Production 2017-2019 (t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":6926703.333333334},{"$f":"Regional_average_Latin_america[[#This Row],[Production]]/$K$159","v":4.0530946321279656E-3},{"$f":"INDEX(Country_Emission_Factor[Average emission factor per country (tCO2e/t)],MATCH(Regional_average_Latin_america[[#This Row],[Country]],Country_Emission_Factor[Country],0))","v":0.5980414950389068},{"$f":"Regional_average_Latin_america[[#This Row],[%]]*Regional_average_Latin_america[[#This Row],[Country EF (tCO2e/t)]]","v":2.4239187733319763E-3},null,null,null,null,"Bahamas",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Peanuts",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"BahamasPeanuts"},{"$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":0.24840933411356617},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.24840933411356617},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.6375434427761492E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99336598247671537},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.6488277467698908E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.24676138223810931},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bolivia (Plurinational State of)",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Wheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Bolivia (Plurinational State of)Wheat"},{"$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":7.5112698952941398E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":7.5112698952941398E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":3.9422626628861007E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.96057737337113902},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.9611398859078477E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":7.2151559067033549E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bosnia and Herzegovina",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Quinoa",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Bosnia and HerzegovinaQuinoa"},{"$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":1.3238293755764066},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"YES"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":1.2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":9.1743616523580675E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99082562003733365},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.1009233982829681E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":1.1889907440448004},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Crop Emission Factor capped to a bibliography MAX"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bosnia and Herzegovina",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Wheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Bosnia and HerzegovinaWheat"},{"$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":0.58708954916866729},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.58708954916866729},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":9.1743616523580675E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99082562003733365},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":5.3861718463932076E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.58170336657248345},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Comoros",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Mangoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ComorosMangoes"},{"$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":1.3370842195084833E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":1.3370842195084833E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.19617851378182394},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.80382624760145316},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.623071949843043E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":1.0747833908946219E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Comoros",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Tomatoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ComorosTomatoes"},{"$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":2.1966383606210792E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":2.1966383606210792E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.19617851378182394},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.80382624760145316},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":4.3093324890278555E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":1.7657155707554498E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Congo",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Barley",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"CongoBarley"},{"$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":9.7527816158397312E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":9.7527816158397312E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":8.5371037531952132E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.91462896246804792},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":8.3260508536678653E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":8.9201765304729452E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Congo",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Millet",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"CongoMillet"},{"$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":5.8313644743250979E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":5.8313644743250979E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":8.5371037531952132E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.91462896246804792},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":4.9782963540010022E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":5.3335348389249977E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Congo",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Wheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"CongoWheat"},{"$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":0.10150854334853597},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.10150854334853597},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":8.5371037531952132E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.91462896246804792},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":8.6658896640216549E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":9.2842653684514317E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Costa Rica",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Mushrooms",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Costa RicaMushrooms"},{"$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":9.6119896621649922E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":9.6119896621649922E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":2.1106415466328131E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99788935845336713},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.028746472677053E-4},{"$f":"Modelled_Crop_Emmissions[[#This 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":9.5917021974382205E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cote d'Ivoire",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Almonds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Cote d'IvoireAlmonds"},{"$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":0.13846986875841175},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.13846986875841175},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.2578795803671761E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.93742117526603641},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":8.6652776419938772E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.12980458711044415},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cote d'Ivoire",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Millet",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Cote d'IvoireMillet"},{"$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":2.3315449863826349E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":2.3315449863826349E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":6.2578795803671761E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.93742117526603641},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.4590527760991357E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":2.1856396413204447E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Democratic Republic of the Congo",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Almonds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Democratic Republic of the CongoAlmonds"},{"$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":6.8066056799752861E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":6.8066056799752861E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.25412189152325282},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.74587810847674707},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.7297075102482361E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":5.0768981697270489E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Democratic Republic of the Congo",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Lentils",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Democratic Republic of the CongoLentils"},{"$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":4.0291976151577841E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":4.0291976151577841E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.25412189152325282},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.74587810847674707},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.0239073192848754E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":3.0052902958729082E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Egypt",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Barley",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"EgyptBarley"},{"$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":0.35697319185464904},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.35697319185464904},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":4.4549111501542655E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99554508779152884},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.5902838526994339E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.35538290762415886},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"El Salvador",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Millet",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"El SalvadorMillet"},{"$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":8.9153213221156644E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":8.9153213221156644E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":1.8575580218553749E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.98142441978144634},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.656072663931422E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":8.7497140557225225E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"El Salvador",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Wheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"El SalvadorWheat"},{"$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":0.15519202836259766},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.15519202836259766},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":1.8575580218553749E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.98142441978144634},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.8827819721295015E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.15230924639046817},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Equatorial Guinea",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Mushrooms",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Equatorial GuineaMushrooms"},{"$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":5.3739817066871996E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":5.3739817066871996E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":1},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":0},{"$f":"Modelled_Crop_Emmissions[[#This 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":5.3739817066871996E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eritrea",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Almonds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"EritreaAlmonds"},{"$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":0.9507592048203285},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.9507592048203285},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":1.7107184696193125E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.98289281530380668},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.6264813318467068E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.9344943915018612},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eritrea",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Lentils",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"EritreaLentils"},{"$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":0.56280573618674623},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.56280573618674623},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":1.7107184696193125E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.98289281530380668},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":9.6280216770236095E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.55317771450972253},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eswatini",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Apples",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"EswatiniApples"},{"$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":7.1653089422495986E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":7.1653089422495986E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.31412652612867414},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.68587347387132591},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.2508136066675909E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":4.914495335582008E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eswatini",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Lettuce",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"EswatiniLettuce"},{"$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":4.1467736776572492E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":4.1467736776572492E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.31412652612867414},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.68587347387132591},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.302611610004298E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":2.8441620676529514E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eswatini",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Sunflower seeds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"EswatiniSunflower seeds"},{"$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":0.28064126690477592},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.28064126690477592},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.31412652612867414},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.68587347387132591},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":8.8156866261147313E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.19248440064362862},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ethiopia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Avocados",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"EthiopiaAvocados"},{"$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":0.64028802708405719},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.64028802708405719},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":2.4094999453492538E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.97590500370139088},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.5427739662668173E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.62486028944142313},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mali",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Apples",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MaliApples"},{"$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":0.13215856119539351},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.13215856119539351},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":4.2480214841462624E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.95751978515853731},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":5.6141240727189019E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.1265444371226746},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mali",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Mushrooms",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MaliMushrooms"},{"$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":9.9118920896545143E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":9.9118920896545143E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":4.2480214841462624E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.95751978515853731},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":4.2105930545391764E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":9.4908327842005966E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Marshall Islands",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Almonds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Marshall IslandsAlmonds"},{"$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":1.3416786618195242},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":1.3416786618195242},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":1.5120351587992237E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.98487963046761684},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.0286653084818144E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":1.3213919846590996},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Marshall Islands",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Lentils",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Marshall IslandsLentils"},{"$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":0.79421208142190236},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.79421208142190236},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":1.5120351587992237E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.98487963046761684},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.2008765906530281E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.78220330126372006},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mexico",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Tomatoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MexicoTomatoes"},{"$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":0.2316989665339394},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.2316989665339394},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":1.6463902841064387E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.98353609623046223},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":3.8146692733898075E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.22788429704542326},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Micronesia (Federated States of)",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Ginger",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Micronesia (Federated States of)Ginger"},{"$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":6.1096356403088456E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":6.1096356403088456E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":3.8035225160017597E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99619647748399831},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.3238136722481524E-4},{"$f":"Modelled_Crop_Emmissions[[#This 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":6.0863975035863646E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Micronesia (Federated States of)",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Mangoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Micronesia (Federated States of)Mangoes"},{"$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":1.9439749764619058E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":1.9439749764619058E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":3.8035225160017597E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99619647748399831},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":7.3939525935168502E-5},{"$f":"Modelled_Crop_Emmissions[[#This 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":1.9365810238683893E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mongolia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Barley",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MongoliaBarley"},{"$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":0.37782904844342924},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.37782904844342924},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":4.4822287478340278E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99551775478167959},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.693516222699914E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.37613552599770111},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mongolia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Millet",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MongoliaMillet"},{"$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":0.22591081983038594},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.22591081983038594},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":4.4822287478340278E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99551775478167959},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.0125839710905095E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.22489823213843435},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mongolia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Wheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MongoliaWheat"},{"$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":0.39325064225744671},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.39325064225744671},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":4.4822287478340278E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99551775478167959},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.7626393338305226E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.39148799644658683},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Morocco",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Middle East and North Africa"},"Mushrooms",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MoroccoMushrooms"},{"$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":0.12349785214051266},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.12349785214051266},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":1.5458893200213323E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.98454110151402818},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.9091401066959216E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.12158871138103693},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mozambique",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Almonds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MozambiqueAlmonds"},{"$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":0.27556157349917071},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.27556157349917071},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.17880432634685139},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.82119561824166443},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":4.9271601516597596E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.22628995671329735},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mozambique",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Lentils",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"MozambiqueLentils"},{"$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":0.16311978201387692},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.16311978201387692},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.17880432634685139},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.82119561824166443},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.9166522736836509E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.13395325023833118},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sierra Leone",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Wheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Sierra LeoneWheat"},{"$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":4.5327388982561868E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":4.5327388982561868E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.15929028335813927},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.84070971664186078},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":7.2202126349168805E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":3.8107176347644989E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Solomon Islands",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Mushrooms",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Solomon IslandsMushrooms"},{"$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":0.20819151648923653},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.20819151648923653},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":2.1164021164021163E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.97884585011450675},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":4.4061696611478627E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.2037874019445351},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Somalia",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Almonds",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"SomaliaAlmonds"},{"$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":0.55996461371052386},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.55996461371052386},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":5.1282926873047835E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.94871729202470123},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.8716624336411273E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.53124811194910604},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tonga",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"East Asia and Pacific"},"Onions, dry",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TongaOnions, dry"},{"$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":2.1859641697297448E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":2.1859641697297448E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":1},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":0},{"$f":"Modelled_Crop_Emmissions[[#This 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":2.1859641697297448E-2},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Trinidad and Tobago",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Avocados",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Trinidad and TobagoAvocados"},{"$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":0.40206413597380258},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.40206413597380258},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":1.2596813770113676E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99874049160862122},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":5.0647270445036534E-4},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.40155773282067114},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Trinidad and Tobago",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},"Maize",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"Trinidad and TobagoMaize"},{"$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":0.19484646589499666},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.19484646589499666},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":1.2596813770113676E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99874049160862122},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":2.4544446446440784E-4},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.1946010551361714},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkey",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Europe and Central Asia"},"Bananas",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"TurkeyBananas"},{"$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":0.16892936023777494},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.16892936023777494},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":7.7270894316833916E-3},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.99227291151679131},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.3053322741943473E-3},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.16762402812380581},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Zimbabwe",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Tomatoes",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ZimbabweTomatoes"},{"$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":0.24217508903876481},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.24217508903876481},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":5.0647750391637311E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.94935226996320377},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.22656234607079E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.22990947050749236},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[crop capped to CLUNE/POORE''s MAX]]=\"Yes\",\"Crop Emission Factor capped to a bibliography MAX\",\nIF(INDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))=\"Direct country average Emission Factor\",\"Direct crop Emission Factor calculation\",\nINDEX(Country_Emission_Factor[Type of EF calculation],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Country_Emission_Factor[Country],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Zimbabwe",{"$f":"INDEX(Countries[Region],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Countries[Country],0))","v":"Africa"},"Wheat",{"$f":"CONCATENATE(Modelled_Crop_Emmissions[[#This Row],[Country]],Modelled_Crop_Emmissions[[#This Row],[Crop]])","v":"ZimbabweWheat"},{"$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":0.26849846828210877},{"$f":"IF(Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]]>INDEX(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)],MATCH(Modelled_Crop_Emmissions[[#This Row],[Crop]],CLUNE_POORE_Min_Max[Crops],0)), \"YES\", \"NO\")","v":"NO"},{"$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[Crops],0)),Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop (tCO2e/t)]])","v":0.26849846828210877},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from CH4],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":5.0647750391637311E-2},{"$f":"INDEX(Emissions_TARGET_Countries_TOTAL[% of CO2e from N2O],MATCH(Modelled_Crop_Emmissions[[#This Row],[Country]],Emissions_TARGET_Countries_TOTAL[Country],0))","v":0.94935226996320377},{"$f":"Modelled_Crop_Emmissions[[#This Row],[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)]]*Modelled_Crop_Emmissions[[#This Row],[% of CO2e from CH4]]","v":1.3598843402089193E-2},{"$f":"Modelled_Crop_Emmissions[[#This 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":0.25489963034526325},{"$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":"Direct crop Emission Factor calculation"}]

{"sheet":"Clune_Poore","index":39,"n_rows":162,"n_cols":32,"rows_kept":162,"cut":false,"hidden":true,"merged":[[1,10,2,10],[1,1,2,1],[1,4,3,4],[4,26,4,31]]}
["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,"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,{"$f":"SUM(CLUNE_POORE[contribution to weighted emissions factor])","v":0.50690439840925916},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Poore Farm emissions (column BS)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"(tCO2e/t)"]
[null,"Crop","Prodution (all Countries) (t)","Notes","Alternative source","Crop","Clune LCA\n(tCO2e/t)","Production (all Countries) (t)","Crop % of total production ","contribution to weighted emissions factor","% difference of crop to weighted average Clune global emissions factor",null,null,"Crops","Average\n(tCO2e/t)","Median\n(tCO2e/t)","MIN\n(tCO2e/t)","Weighted MIN","MAX\n(tCO2e/t)","Weighted MAX","LCA studies (No)","GWP values (No)",null,null,null,null,"Soy","Bananas","Cassava","Sugar Cane","Sweet Potatoes","Lettuce"]
[null,"Agave fibres nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":41047.333333333336},null,null,"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":3342920.3333333335},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":4.0679144031780228E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":7.0781710615297597E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":2.4325999250753729},null,null,"Almonds",1.74,1.54,0.51,{"$f":"Q7*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.0746363456207917E-4},3.77,{"$f":"S7*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.5336037299981146E-3},4,6,null,null,null,null,2.6072564455621415E-2,0.39273229000000004,1.4816837260619227E-2,0.42397452757145931,0.18556810997526044,0.24848412508410025]
[null,"Almonds",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3342920.3333333335},null,null,"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":126521605.33333331},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.5396091121784791E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.5425928038425245E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.28980691205337111},null,null,"Apples",0.36,0.28999999999999998,0.18,{"$f":"Q8*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.7712964019212622E-3},0.89,{"$f":"S8*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.3702521098388465E-2},21,33,null,null,null,null,2.5495058896786306E-2,0.35182909440068116,0.37290405729601184,0.35257930889818917,2.5515915758968475E-2,0.30869422069122915]
[null,"Anise, badian, fennel, coriander",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":2264264.0000000005},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":4308501},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":5.2429048635240926E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.2544490913153597E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.15171381161930439},null,null,"Apricots",0.43,0.43,0.43,{"$f":"Q9*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.2544490913153597E-4},0.43,{"$f":"S9*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.2544490913153597E-4},1,1,null,"Min of Min",{"$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",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":126521605.33333331},null,null,"Artichokes",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.48},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":1705211.6666666672},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":2.0750285402056754E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":9.9601369929872417E-5},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-5.3075882737828185E-2},null,null,"Artichokes",0.48,0.48,0.48,{"$f":"Q10*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":9.9601369929872417E-5},0.48,{"$f":"S10*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":9.9601369929872417E-5},1,1,null,null,null,null,4.2843551667011225E-2,0.43324987292139677,0.2508064854322673,0.41061895109287755,0.4156513749219346,0.22483363508422444]
[null,"Apricots",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":4308501},null,null,"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":15754544.333333336},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.9171302758857261E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.7637598538148681E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.81493789141916284},null,null,"Asparagus",0.92,0.83,0.18,{"$f":"Q11*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.4508344965943066E-4},2.54,{"$f":"S11*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.8695109007497444E-3},5,28,null,"Average of MIN",{"$f":"AVERAGE(CLUNE_POORE_Min_Max[MIN\n(tCO2e/t)])","v":0.47759494446159834},null,5.1475942056897726E-2,0.38464393681198161,9.4801252373453312E-2,0.38344968403380125,6.8265828923585556E-2,9.338063540539901E-2]
[null,"Areca nuts",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1705442},null,null,"Avocados",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.3},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":6790447.3333333321},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":8.2631219882361702E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.0742058584707022E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":1.5645861509183823},null,null,"Avocados",1.3,1.3,1.3,{"$f":"Q12*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.0742058584707022E-3},1.3,{"$f":"S12*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.0742058584707022E-3},2,1,null,"Average of MAX",{"$f":"AVERAGE(CLUNE_POORE_Min_Max[MAX\n(tCO2e/t)])","v":1.0327622044095326},null,2.4431104768074481E-2,0.14651488301626922,0.3230038489268961,0.45712950471809954,0.23925176084404856,0.39224168294423073]
[null,"Artichokes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1705211.6666666672},null,"Poore","Bananas",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.28399292808359222},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":127589966.33333334},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.5526097244167021E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":4.4093018180815843E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.43975051513696872},null,"Poore","Bananas",{"$f":"AB61","v":0.28399292808359222},{"$f":"AB70","v":0.27344514525690145},{"$f":"AB64","v":9.1363844850827228E-2},{"$f":"Q13*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.418523939754932E-3},{"$f":"AB67","v":0.66963549247787779},{"$f":"S13*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.0396825774357204E-2},{"$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[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":15754544.333333336},null,null,"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":149907514.33333331},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.8241862679782152E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.9385127130932537E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-3.3348296961532915E-2},null,null,"Barley",0.49,0.43,0.11,{"$f":"Q14*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.0066048947760366E-3},0.98,{"$f":"S14*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.7877025426186507E-2},7,13,null,"Weighted MIN",{"$f":"SUM(CLUNE_POORE_Min_Max[Weighted MIN])","v":0.2845130769801848},null,4.0859266787915891E-2,0.36827548491963674,6.1972556215420693E-2,0.72152290038185718,0.19211425269844021,0.17667812362919971]
[null,"Avocados",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":6790447.3333333321},null,null,"Beans",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.62},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":29247743.999999996},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":3.5590832928832456E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.2066316415876122E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.2231103181303053},null,null,"Beans",0.62,0.43,0.22,{"$f":"Q15*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.8299832443431408E-4},1.55,{"$f":"S15*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.5165791039690311E-3},11,22,null,"Weighted MAX",{"$f":"SUM(CLUNE_POORE_Min_Max[Weighted MAX])","v":0.94826654887756412},null,4.1353267592018468E-2,0.27344514525690145,5.9022648392912283E-2,0.82650158850783506,null,0.22361161134588725]
[null,"Bambara beans",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":219429},null,null,"Beans, green",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.51},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":40981721.333333313},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":4.9869610357319693E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.5433501282233046E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":6.10687459105761E-3},null,null,"Beans, green",0.51,0.31,0.24,{"$f":"Q16*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1968706485756726E-3},1.55,{"$f":"S16*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.7297896053845523E-3},4,7,null,null,null,null,0.14442482902417772,0.2044519525098912,2.013008316802211E-2,0.60605625733826352,null,0.22032354582662009]
[null,"Bananas",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":127589966.33333334},null,"Xu Z. et al (calculated from Buckwheat flour)","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":3017841.333333333},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":3.6723340678991053E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.9526737265884857E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":2.1977450680774986},null,"Xu Z. et al (calculated from Buckwheat flour)","Buckwheat",{"$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":"Q17*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.9526737265884857E-4},{"$f":"1.91-Flour!$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":5.9526737265884857E-4},1,1,null,null,null,null,8.3282004527759565E-2,0.26304999173123333,1.2130543919231727,0.48672922431550136,null,0.2838627179509533]
[null,"Barley",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":149907514.33333331},null,null,"Carrots",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.22},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":58643734.833333373},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":7.1362063644153911E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.569965400171386E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.56599311292150467},null,null,"Carrots",0.22,0.2,0.04,{"$f":"Q18*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.8544825457661564E-4},0.5,{"$f":"S18*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.5681031822076955E-3},10,13,null,null,null,null,5.3818223889133883E-2,0.29061254918660884,0.79085383010460397,0.47806258143353231,null,9.6321959479311742E-2]
[null,"Bastfibres, other",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":246221.00000000003},null,null,"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":3817379.6666666651},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":4.6452718521556885E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":7.2001713708413179E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":2.0577757953257634},null,null,"Cashew nuts",1.55,1.44,1.06,{"$f":"Q19*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.9239881632850296E-4},2.27,{"$f":"S19*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.0544767104393414E-3},3,4,null,null,null,null,4.5781643422056234E-2,0.29116312464480054,0.50619475901131061,0.75174327726562806,null,4.6835958893804729E-2]
[null,"Beans",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":29247743.999999996},null,"Poore","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":294942645},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":3.5890817431193815E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.6325285768131602E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.52550830503684909},null,"Poore","Cassava",{"$f":"AC61","v":0.24052192718548573},{"$f":"AC70","v":0.1192296037735068},{"$f":"AC64","v":9.9474186544305943E-3},{"$f":"Q20*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.5702098683782011E-4},{"$f":"AC67","v":1.2130543919231727},{"$f":"S20*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.3537513714622417E-2},{"$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[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":40981721.333333313},null,null,"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":34998912.000000007},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":4.2589282430908508E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.4906248850817976E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.30953449782966641},null,null,"Cauliflowers and broccoli",0.35,0.36,0.28000000000000003,{"$f":"Q21*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1924999080654382E-3},0.42,{"$f":"S21*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.7887498620981573E-3},4,4,null,null,null,null,5.7185661550761616E-2,0.32246440523722092,6.5761472237989838E-2,null,null,5.6291281494679456E-2]
[null,"Berries nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1027082.6666666667},null,null,"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":3995670},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":4.862228806732854E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.3338698272317698E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-5.3075882737828185E-2},null,null,"Cherries",0.48,0.39,0.26,{"$f":"Q22*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.264179489750542E-4},0.88,{"$f":"S22*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.2787613499249114E-4},2,4,null,null,null,null,4.3482905123844201E-2,0.39957764278259544,0.34172554430924734,null,null,0.45772159377219696]
[null,"Blueberries",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":710268.00000000012},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":3938812.333333333},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":4.7930401638393512E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.0610072704509209E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.15171381161930439},null,null,"Chestnut",0.43,0.43,0.43,{"$f":"Q23*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.0610072704509209E-4},0.43,{"$f":"S23*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.0610072704509209E-4},1,1,null,null,null,null,6.1513339754117373E-2,0.2740435234857041,2.5447770176542529E-2,null,null,0.10110321860988267]
[null,"Brazil nuts, with shell",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":66037},null,null,"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":15535891.666666668},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.8905229911365946E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.2666504040615184E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.32174824701178162},null,null,"Chickpeas",0.67,0.77,0.45,{"$f":"Q24*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.5073534601146756E-4},0.8,{"$f":"S24*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.5124183929092758E-3},2,3,null,null,null,null,8.1739269550182278E-2,0.22076267999999999,0.97731352313666731,null,null,4.1224921480270134E-2]
[null,"Broad beans, horse beans (dry)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":7438548.0000000009},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",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.84199999999999997},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":5463413.3333333321},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":6.6482881950765934E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.5978586602544909E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.66106272236405972},null,"Chocolate sustainability report 2014-15 https://www.barry-callebaut.com/sites/default/files/2019-01/barry-callebaut-chocolate-sustainability-report-2014-15.pdf","Cocoa",0.84199999999999997,0.84199999999999997,0.84199999999999997,{"$f":"Q25*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.5978586602544909E-4},0.84199999999999997,{"$f":"S25*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.5978586602544909E-4},1,1,null,null,null,null,2.3968856353041725E-2,0.19505348955498686,0.35312471356227432,null,null,0.28627135937876813]
[null,"Buckwheat",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3017841.333333333},null,"Ecoinvent","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":61247137.333333313},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":7.4530077677099583E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.4650685709603129E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.44656509649770293},null,"Ecoinvent","Coconuts",0.73327021000000003,0.70828201999999996,0.25696581000000002,{"$f":"Q26*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.9151681779658815E-3},1.2345628,{"$f":"S26*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":9.2012061381257556E-3},3,3,null,null,null,null,2.2775174540420509E-2,0.1835357,2.588144544421133E-2,null,null,0.14203107743807111]
[null,"Cabbages and other brassicas",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":104638849.3333334},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",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.46500000000000002},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":10020248.666666666},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.2193384768435114E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.669923917322328E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-8.2667261402270972E-2},null,"0.26 and 0.67 kgCO2e for conventional \nhttps://www.researchgate.net/publication/257015313_Greenhouse_gas_emissions_in_coffee_grown_with_differing_input_levels_under_conventional_and_organic_management","Coffee",0.46500000000000002,0.46500000000000002,0.46500000000000002,{"$f":"Q27*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.669923917322328E-4},0.46500000000000002,{"$f":"S27*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.669923917322328E-4},1,1,null,null,null,null,2.1466881167927478E-2,0.66963549247787779,3.859811312907431E-2,null,null,0.1593626439400655]
[null,"Canary seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":249379.5},null,"WWF - India","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":96292990.333333343},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.1717648141242437E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.7712237854038365E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":3.6655740360938265},null,"WWF - India","Cotton",2.3650000000000002,2.3650000000000002,2.3650000000000002,{"$f":"Q28*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.7712237854038365E-2},2.3650000000000002,{"$f":"S28*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.7712237854038365E-2},1,1,null,null,null,null,6.247977317120415E-2,9.1363844850827228E-2,1.9154801442579725E-2,null,null,0.37394022895245765]
[null,"Carobs",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":138607.16666666666},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":8309770.333333333},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.0111947356029754E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":4.8537347308942819E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-5.3075882737828185E-2},null,null,"Cow peas (dry)",0.48,0.49,0.33,{"$f":"Q29*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.3369426274898191E-4},0.61,{"$f":"S29*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.1682878871781495E-4},1,4,null,null,null,null,5.1941829676536079E-2,0.16248558303285471,0.14926231374853086,null,null,0.23248784587122823]
[null,"Carrots",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":58643734.833333373},null,null,"Cranberries/blueberries",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.92},{"$f":"C23+C51","v":1382204.666666667},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.6819695688250659E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.5474120033190608E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.81493789141916284},null,null,"Cranberries/blueberries",0.92,0.92,0.86,{"$f":"Q30*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.4464938291895566E-4},0.97,{"$f":"S30*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.6315104817603138E-4},2,2,null,null,null,null,4.4946545018077225E-2,null,0.87002793083349439,null,null,0.34294593616408608]
[null,"Cashew nuts",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3817379.6666666651},null,null,"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":152823551.33333346},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.8596707777172566E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":6.1369135664669471E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.34898966938225684},null,null,"Cucumbers and gherkins",0.33,0.23,0.13,{"$f":"Q31*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.4175720110324339E-3},1.3,{"$f":"S31*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.4175720110324338E-2},7,15,null,null,null,null,5.5677583765743929E-2,null,0.21466192599064199]
[null,"Cashewapple",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1387930.6666666667},null,null,"Currants and gooseberries",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.84},{"$f":"C53+C67","v":793934.66666666674},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":9.6611882536108172E-5},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.1153981330330866E-5},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.65711720520880068},null,null,"Currants and gooseberries",0.84,0.84,0.84,{"$f":"Q32*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.1153981330330866E-5},0.84,{"$f":"S32*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.1153981330330866E-5},1,1,null,null,null,null,0.22652310366650449,null,3.7922387485661291E-2]
[null,"Cassava",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":294942645},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":8983961.3333333321},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.0932353170684122E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":3.4983530146189191E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.36871725515855208},null,null,"Dates",0.32,0.32,0.32,{"$f":"Q33*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.4983530146189191E-4},0.32,{"$f":"S33*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.4983530146189191E-4},1,1,null,null,null,null,5.65001137942584E-2,null,9.9094958731005905E-2]
[null,"Cassava leaves",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":84407},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":88681491.000000045},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.0791424220824557E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.4568422698113153E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":1.6632240797998585},null,null,"Eggplants (aubergines)",1.35,1.35,1.3,{"$f":"Q34*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.4028851487071925E-2},1.4,{"$f":"S34*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.5107993909154379E-2},1,2,null,null,null,null,4.0460084207563259E-2,null,6.0151070555378147E-2]
[null,"Castor oil seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1616636.6666666667},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":1241642.6666666667},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.5109232598125636E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":6.4969700171940237E-5},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.15171381161930439},null,null,"Figs",0.43,0.43,0.43,{"$f":"Q35*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.4969700171940237E-5},0.43,{"$f":"S35*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.4969700171940237E-5},1,1,null,null,null,null,0.10583849699187631,null,0.10289017722403385]
[null,"Cauliflowers and broccoli",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":34998912.000000007},null,null,"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":47937265.000000015},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":5.8333633858398386E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":3.3250171299287075E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.12447238924882897},null,null,"Garlic (green)",0.56999999999999995,0.56999999999999995,0.56999999999999995,{"$f":"Q36*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.3250171299287075E-3},0.56999999999999995,{"$f":"S36*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.3250171299287075E-3},1,1,null,null,null,null,0.45073838470237215,null,9.0826715031798247E-2]
[null,"Cereals nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":7527504.8333333358},null,null,"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":4508005.666666667},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":5.4856769986964924E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":4.8273957588529132E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.73602754831398176},null,null,"Ginger",0.88,0.88,0.88,{"$f":"Q37*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.8273957588529132E-4},0.88,{"$f":"S37*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.8273957588529132E-4},1,1,null,null,null,null,0.12971832778542158,null,7.8245368960000006E-2]
[null,"Cherries",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])+\nSUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],\"Cherries, sour\",ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3995670},"`+ Cherries, sour",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":13881031.333333338},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.6891472623138226E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.614651037800495E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":6.10687459105761E-3},null,null,"Grapefruit (inc. pomelos)",0.51,0.51,0.51,{"$f":"Q38*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.614651037800495E-4},0.51,{"$f":"S38*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.614651037800495E-4},2,1,null,null,null,null,0.11272161982529,null,9.1563690508446038E-2]
[null,"Chestnut",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3938812.333333333},null,null,"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":90597280.166666657},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.1024551713179859E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":4.5200662024037419E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.19116898317189493},null,null,"Grapes",0.41,0.37,0.15,{"$f":"Q39*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.6536827569769788E-3},0.88,{"$f":"S39*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":9.7016055075982762E-3},5,6,null,null,null,null,0.10717469713756349,null,0.43012726077415286]
[null,"Chickpeas",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":15535891.666666668},null,null,"Peanuts",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.99},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":67196608.999999985},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":8.176983784811161E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.0952139469630501E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.95303099185322948},null,null,"Peanuts",0.99,0.99,0.65,{"$f":"Q40*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.3150394601272546E-3},1.33,{"$f":"S40*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.0875388433798846E-2},2,2,null,null,null,null,7.601482077041774E-2,null,0.31765770786597852]
[null,"Chicory roots",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":499378.33333333326},null,null,"Hazelnuts, with shell",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.97},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":1024170},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.2462863241938365E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.2088977344680214E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.91357582030063889},null,null,"Hazelnuts, with shell",0.97,0.97,0.43,{"$f":"Q41*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.3590311940334972E-5},1.5,{"$f":"S41*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.8694294862907547E-4},2,2,null,null,null,null,0.18745898642524603,null,0.27496334861862903]
[null,"Cinnamon (cannella)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":296049.66666666669},null,null,"Kiwi fruit",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.47},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":6345086.666666667},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":7.7211739637866015E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":3.6289517629797027E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-7.2803468514123448E-2},null,null,"Kiwi fruit",0.47,0.36,0.15,{"$f":"Q42*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1581760945679901E-4},0.88,{"$f":"S42*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.7946330881322092E-4},5,9,null,null,null,null,0.1653267052097388,null,0.23305316723112013]
[null,"Chillies and peppers, green",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":52350985.500000037},null,null,"Lemons",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.3},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":21690629.666666657},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":2.6394773442611845E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":7.9184320327835539E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.40817242671114262},null,null,"Lemons",0.3,0.26,0.18,{"$f":"Q43*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.7510592196701318E-4},0.45,{"$f":"S43*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.187764804917533E-3},2,3,null,null,null,null,5.5925854534228978E-2,null,4.9172104903910142E-2]
[null,"Cloves",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":176347.66666666666},null,null,"Lentils",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":1.03},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":6723475.666666666},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":8.1816258769703317E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":8.4270746532794419E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":1.0319413349584106},null,null,"Lentils",1.03,1.03,1,{"$f":"Q44*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.1816258769703317E-4},1.06,{"$f":"S44*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.6725234295885521E-4},2,2,null,null,null,null,0.19075862152136722,null,1.5727962193049422E-2]
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[null,"Coconuts",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":61247137.333333313},null,null,"Maize",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.63},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":1405590556.3333333},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":0.17104272608787993},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":0.10775691743536436},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.24283790390660057},null,null,"Maize",0.63,0.47,0.4,{"$f":"Q46*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.841709043515197E-2},1.38,{"$f":"S46*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":0.23603896200127428},6,6,null,null,null,null,0.14985509442075245,null,0.50095327707449433]
[null,"Coffee",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":10020248.666666666},null,null,"Mangoes",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.28000000000000003},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":56153193.333333321},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":6.8331387280574354E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.913278843856082E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.44762759826373305},null,null,"Mangoes",0.28000000000000003,0.28000000000000003,0.28000000000000003,{"$f":"Q47*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.913278843856082E-3},0.28000000000000003,{"$f":"S47*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.913278843856082E-3},1,1,null,null,null,null,7.5228456691964485E-2,null,0.10158089363990909]
[null,"Coir",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1245076.6666666667},null,null,"Melons, other (inc.cantaloupes)",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.88},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":40021819.666666672},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":4.8701530527079104E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":4.2857346863829611E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.73602754831398176},null,null,"Melons, other (inc.cantaloupes)",0.88,0.51,0.3,{"$f":"Q48*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.461045915812373E-3},1.74,{"$f":"S48*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.4740663117117646E-3},4,5,null,null,null,null,8.4439693542115557E-2,null,0.28258563356455724]
[null,"Cotton",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":96292990.333333343},null,"Ecoinvent","Millet",0.29297985999999998,{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":32052188.833333336},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":3.9003490244258025E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.142723711127408E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.42202146811230279},null,"Ecoinvent","Millet",0.55869960666666663,0.64491198999999999,0.29297985999999998,{"$f":"Q49*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.142723711127408E-3},0.73820697000000002,{"$f":"S49*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.8792648352638276E-3},3,3,null,null,null,null,9.6472743853027648E-2,null,9.9585396995923114E-2]
[null,"Cow peas (dry)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":8309770.333333333},null,null,"Mushrooms",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.27},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":78734500.666666672},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":9.58100036352336E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.5868700981513072E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.46735518404002829},null,null,"Mushrooms",0.27,0.27,0.06,{"$f":"Q50*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.748600218114016E-4},0.48,{"$f":"S50*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.5988801744912128E-3},3,2,null,null,null,null,0.13296831840870102,null,7.4341816351657458E-2]
[null,"Cranberries",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":671936.66666666674},null,null,"Oats",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.44},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":24196945.333333332},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":2.9444644986866639E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.2955643794221321E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.13198622584300912},null,null,"Oats",0.44,0.38,0.38,{"$f":"Q51*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1188965095009324E-3},0.67,{"$f":"S51*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.9727912141200648E-3},4,6,null,null,null,null,4.9282678382971637E-2,null,0.13027426]
[null,"Cucumbers and gherkins",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":152823551.33333346},null,null,"Olives",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.56000000000000005},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":22522586.666666672},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":2.7407160674631286E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.5348009977793522E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.10474480347253393},null,null,"Olives",0.56000000000000005,0.63,0.22,{"$f":"Q52*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.0295753484188833E-4},0.85,{"$f":"S52*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.3296086573436595E-3},4,8,null,null,null,null,9.3902642570440023E-2,null,2.2157134547838016E-2]
[null,"Currants",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":622845.33333333337},null,null,"Onions, dry",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.18},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":121451503.66666666},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.4779123394802061E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.660242211064371E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.64490345602668553},null,null,"Onions, dry",0.18,0.17,0.06,{"$f":"Q53*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":8.8674740368812363E-4},0.37,{"$f":"S53*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.4682756560767622E-3},7,9,null,null,null,null,0.10610711163093788,null,0.11518839648104937]
[null,"Dates",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":8983961.3333333321},null,null,"Oranges",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.35},{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":82386282.000000015},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.0025376310356373E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":3.5088817086247302E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.30953449782966641},null,null,"Oranges",0.35,0.33,0.18,{"$f":"Q54*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.8045677358641472E-3},0.59,{"$f":"S54*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.9149720231102603E-3},9,20,null,null,null,null,null,null,0.19925797332341016]
[null,"Eggplants (aubergines)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":88681491.000000045},null,null,"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":38820317.999999993},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":4.7239453825298362E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.5509305065661118E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":6.52896319199434E-2},null,null,"Peaches and nectarines",0.54,0.43,0.38,{"$f":"Q55*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.7950992453613377E-3},0.81,{"$f":"S55*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.8263957598491678E-3},3,3,null,null,null,null,null,null,0.27058638132489637]
[null,"Fibre crops nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":524423},null,null,"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":40653441.666666679},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":4.9470135212492626E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.6325144620122566E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.34898966938225684},null,null,"Pears",0.33,0.31,0.19,{"$f":"Q56*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":9.3993256903735986E-4},0.63,{"$f":"S56*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.1166185183870354E-3},4,8,null,null,null,null,null,null,0.55999013717334178]
[null,"Figs",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1241642.6666666667},null,null,"Peas (dry)",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":0.6},{"$f":"C110","v":16069271.666666662},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.9554286415265202E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.173257184915912E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.18365514657771478},null,null,"Peas (dry)",0.6,0.38,0.15,{"$f":"Q57*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.9331429622897801E-4},2.46,{"$f":"S57*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.8103544581552396E-3},6,8,null,null,null,null,null,null,0.28628163167345322]
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[null,"Fonio",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":666624.33333333337},null,null,"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":30356341.16666666},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":3.6939856516573456E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.6596696691932888E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.42038617589325772},null,null,"Pineapples",0.72,0.5,0.4,{"$f":"Q59*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.4775942606629383E-3},1.78,{"$f":"S59*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.5752944599500752E-3},5,6]
[null,"Fruit, citrus nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":19833594.666666672},null,null,"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":1109396.3333333333},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.3499960732535812E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.0654939920779794E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":2.0183206237731728},null,null,"Pistachios",1.53,1.53,0.88,{"$f":"Q60*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.1879965444631515E-4},2.17,{"$f":"S60*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.9294914789602711E-4},1,2,null,null,null,null,"average","average","average","average","average","average"]
[null,"Fruit, fresh nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":40352779.000000007},null,null,"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":448369321.99999988},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":5.4560918030860363E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.0912183606172073E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.60544828447409504},null,null,"Potatoes",0.2,0.18,0.08,{"$f":"Q61*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.364873442468829E-3},0.36,{"$f":"S61*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.9641930491109731E-2},16,25,null,null,null,null,{"$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[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":132222.33333333334},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":34508320.000000015},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":4.1992293551758667E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.385745687208036E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.34898966938225684},null,null,"Pumpkins, squash and gourds",0.33,0.25,0.15,{"$f":"Q62*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.2988440327638E-4},0.73,{"$f":"S62*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.0654374292783827E-3},4,8]
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[null,"Garlic (green)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":47937265.000000015},null,null,"Rapeseeds",{"$f":"CLUNE_POORE_Min_Max[[#This Row],[Average\n(tCO2e/t)]]","v":2.09},{"$f":"C96+C127","v":671781.99999999988},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":8.1747436406024763E-5},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.7085214208859174E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":3.1230654272457063},null,null,"Rapeseeds",2.09,2.09,2.09,{"$f":"Q65*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.7085214208859174E-4},2.09,{"$f":"S65*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.7085214208859174E-4},1,1]
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[null,"Gooseberries",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":171089.33333333331},null,null,"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":12705980.000000002},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.5461582656668723E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":6.3392488892341763E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.19116898317189493},null,null,"Rye",0.41,0.38,0.36,{"$f":"Q67*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":5.5661697564007406E-4},0.49,{"$f":"S67*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.5761755017676746E-4},2,3,null,null,null,null,{"$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[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3493193.666666667},null,null,"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":6473539.8333333349},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":7.877485342674931E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":6.9321871015539391E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.73602754831398176},null,null,"Sesame seed",0.88,0.88,0.88,{"$f":"Q68*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.9321871015539391E-4},0.88,{"$f":"S68*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.9321871015539391E-4},1,1]
[null,"Grapefruit (inc. pomelos)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":13881031.333333338},null,"Ecoinvent","Sorghum",1.3066666666666666,{"$f":"INDEX(Sum_Global_Production[Prodution (all Countries) (t)],MATCH(CLUNE_POORE[[#This Row],[Crop]],Sum_Global_Production[Crop],0))","v":61415680.333333351},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":7.4735173350609493E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":9.7653959844796398E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":1.5777378747692457},null,"Ecoinvent","Sorghum",0.23963709666666666,0.21988156,0.21365023999999999,{"$f":"Q69*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.5967187722799321E-3},0.28537949000000001,{"$f":"S69*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.1327885655858529E-3},3,3,null,null,null,null,"Median","Median","Median","Median","Median","Median"]
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[null,"Peanuts",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":67196608.999999985},null,null,"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":55460958.000000015},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":6.748902377738928E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":3.6444072839790214E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":6.52896319199434E-2},null,null,"Spinach",0.54,0.54,0.18,{"$f":"Q71*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.214802427993007E-3},0.91,{"$f":"S71*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":6.1415011637424247E-3},2,2]
[null,"Hazelnuts, with shell",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1024170},null,null,"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":11642586.66666667},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.4167566459580125E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":9.208918198727081E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":0.28229307545919108},null,null,"Strawberries",0.65,0.57999999999999996,0.2,{"$f":"Q72*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.8335132919160252E-4},1.5,{"$f":"S72*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.1251349689370186E-3},15,21]
[null,"Hemp tow waste",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":393996.66666666663},null,"Poore","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":2016676059.333334},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":0.2454041607424795},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":0.12933964008803134},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":3.9737401514284301E-2},null,"Poore","Sugar cane",{"$f":"AD61","v":0.52704746201820463},{"$f":"AD70","v":0.47806258143353231},{"$f":"AD64","v":0.30669473438987938},{"$f":"Q73*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.5264163897086012E-2},{"$f":"AD67","v":0.82650158850783506},{"$f":"S73*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":0.20282692868009142},{"$f":"COUNT(Poore[Sugar Cane])","v":13},{"$f":"CLUNE_POORE_Min_Max[[#This Row],[LCA studies (No)]]","v":13}]
[null,"Hempseed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":4465.666666666667},null,null,"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":54869120.999999985},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":6.676883244269685E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":9.4144053744202559E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":1.7815895944576297},null,null,"Sunflower seeds",1.41,1.41,1.41,{"$f":"Q74*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":9.4144053744202559E-3},1.41,{"$f":"S74*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":9.4144053744202559E-3},1,1]
[null,"Hops",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":172606.33333333331},null,"Poore","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":144179512.66666669},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.7544836781530286E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":2.9529198725156652E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.66797080644885543},null,"Poore","Sweet potatoes",{"$f":"AE61","v":0.16830705861135445},{"$f":"AE70","v":0.18884118133685032},{"$f":"AE64","v":2.4781139614960784E-2},{"$f":"Q75*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.3478104980480126E-4},{"$f":"AE67","v":0.4156513749219346},{"$f":"S75*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.2925355310239932E-3},{"$f":"COUNT(Poore[Sweet Potatoes])","v":8},{"$f":"CLUNE_POORE_Min_Max[[#This Row],[LCA studies (No)]]","v":8}]
[null,"Jojoba seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":149},null,null,"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":55164711.999999948},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":6.7128529583654634E-3},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":3.4235550087663865E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":6.10687459105761E-3},null,null,"Tangerines, mandarins, clementines, satsumas",0.51,0.51,0.51,{"$f":"Q76*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.4235550087663865E-3},0.51,{"$f":"S76*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":3.4235550087663865E-3},1,1]
[null,"Jute",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3443392.333333333},null,null,"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":241520852.99999991},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":2.9390055957656428E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":1.3519425740521958E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-9.2531054290418607E-2},null,null,"Tomatoes",0.46,0.45,0.08,{"$f":"Q77*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.3512044766125142E-3},1,{"$f":"S77*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.9390055957656428E-2},19,56]
[null,"Kapok fruit",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":280806.66666666669},null,null,"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":3900314.333333334},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":4.7461929305589261E-4},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":7.6888325475054612E-4},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":2.1958688957598302},null,null,"Walnuts, with shell",1.62,1.51,0.5,{"$f":"Q78*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":2.3730964652794631E-4},2.94,{"$f":"S78*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.3953807215843243E-3},3,4]
[null,"Karite nuts (sheanuts)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":697887.66666666663},null,null,"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":163163074.33333343},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":1.9854897932477602E-2},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":6.3535673383928329E-3},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":-0.36871725515855208},null,null,"Watermelons",0.32,0.32,0.25,{"$f":"Q79*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":4.9637244831194005E-3},0.38,{"$f":"S79*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":7.5448612143414889E-3},2,2]
[null,"Kiwi fruit",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":6345086.666666667},null,null,"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":889577013.16666627},{"$f":"CLUNE_POORE[[#This Row],[Production (all Countries) (t)]]/$H$82","v":0.10825035549047685},{"$f":"CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]*CLUNE_POORE[[#This Row],[Crop % of total production ]]","v":5.520768130014319E-2},{"$f":"(CLUNE_POORE[[#This Row],[Clune LCA\n(tCO2e/t)]]-$K$4)/$K$4","v":6.10687459105761E-3},null,null,"Wheat",0.51,0.52,0.18,{"$f":"Q80*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":1.9485063988285832E-2},1.1000000000000001,{"$f":"S80*INDEX(CLUNE_POORE[Crop % of total production ],MATCH(CLUNE_POORE_Min_Max[[#This Row],[Crops]],CLUNE_POORE[Crop],0))","v":0.11907539103952454},20,51]
[null,"Kola nuts",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":304947.66666666669}]
[null,"Leeks, other alliaceous vegetables",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":2298620.666666666},null,null,null,"sum",{"$f":"SUM(CLUNE_POORE[Production (all Countries) (t)])","v":8217774520.333334}]
[null,"Lemons",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":21690629.666666657}]
[null,"Lentils",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":6723475.666666666}]
[null,"Lettuce",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":41331083.333333321}]
[null,"Linseed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3345620.666666666}]
[null,"Lupins",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1376490.333333333}]
[null,"Maize",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])+\nSUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],\"Maize, green\",ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1405590556.3333333},"`+Maize, green"]
[null,"Mangoes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":56153193.333333321}]
[null,"Manila fibre (abaca)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":106401.66666666666}]
[null,"Mate",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1445210.6666666665}]
[null,"Melons, other (inc.cantaloupes)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":40021819.666666672}]
[null,"Melonseed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":986098}]
[null,"Millet",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":32052188.833333336}]
[null,"Mushrooms",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":78734500.666666672}]
[null,"Mustard seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":671781.99999999988}]
[null,"Nutmeg, mace and cardamoms",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":137334.33333333334}]
[null,"Nuts nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1119811.1666666663}]
[null,"Oats",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":24196945.333333332}]
[null,"Oil palm fruit",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":411286074.66666663}]
[null,"Oilseeds nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":2860767.0000000005}]
[null,"Okra",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":9563238}]
[null,"Olives",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":22522586.666666672}]
[null,"Onions, dry",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":121451503.66666666}]
[null,"Onions, shallots, green",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":5713234.3333333349}]
[null,"Oranges",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":82386282.000000015}]
[null,"Papayas",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":13458352.999999998}]
[null,"Peaches and nectarines",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":38820317.999999993}]
[null,"Pears",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":40653441.666666679}]
[null,"Peas (dry)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":16069271.666666662}]
[null,"Peppers",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":728213.33333333314}]
[null,"Peppermint",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":93434.5}]
[null,"Persimmons",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":7894784.3333333358}]
[null,"Pigeon peas",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":5373586.666666666}]
[null,"Pineapples",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":30356341.16666666}]
[null,"Pistachios",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1109396.3333333333}]
[null,"Plantains and others",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":40168731}]
[null,"Plums and sloes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":18532961.333333332}]
[null,"Poppy seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":78405}]
[null,"Potatoes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":448369321.99999988}]
[null,"Pulses nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":4588321}]
[null,"Pumpkins, squash and gourds",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":34508320.000000015}]
[null,"Pyrethrum, dried",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":11887.666666666666}]
[null,"Quinces",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":806285}]
[null,"Quinoa",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":155842}]
[null,"Ramie",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":110982.33333333333}]
[null,"Rapeseeds",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":0}]
[null,"Raspberries",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":838191.33333333337}]
[null,"Roots and tubers nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":7674141.9999999991}]
[null,"Rubber, natural",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":15548363}]
[null,"Rye",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":12705980.000000002}]
[null,"Safflower seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":679506.33333333349}]
[null,"Sesame seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":6473539.8333333349}]
[null,"Sisal",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":219716.66666666669}]
[null,"Sorghum",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":61415680.333333351}]
[null,"Soybeans",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":363312769.66666675}]
[null,"Spices nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":2756377.6666666665}]
[null,"Spinach",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":55460958.000000015}]
[null,"Strawberries",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":11642586.66666667}]
[null,"String beans",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1920653.6666666665}]
[null,"Sugar beet",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":300456676.00000006}]
[null,"Sugar cane",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":2016676059.333334}]
[null,"Sugar crops nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":905482.33333333326}]
[null,"Sunflower seeds",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":54869120.999999985}]
[null,"Sweet potatoes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":144179512.66666669}]
[null,"Tallowtree seed",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":2049839.3333333333}]
[null,"Tangerines, mandarins, clementines, satsumas",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":55164711.999999948}]
[null,"Taro (cocoyam)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":14067960.666666668}]
[null,"Tea",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":9200900.6666666642}]
[null,"Tobacco, unmanufactured",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":8710599.5000000019}]
[null,"Tomatoes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":241520852.99999991}]
[null,"Triticale",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":14174326.666666668}]
[null,"Tung nuts",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":792874.00000000012}]
[null,"Vanilla",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":7734.666666666667}]
[null,"Vegetables, fresh nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":466921358.9999997}]
[null,"Vegetables, leguminous nes",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":1754345.333333333}]
[null,"Vetches",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":870334.33333333326}]
[null,"Walnuts, with shell",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":3900314.333333334}]
[null,"Watermelons",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":163163074.33333343}]
[null,"Wheat",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":889577013.16666627}]
[null,"Yams",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":75038362.666666687}]
[null,"Yautia (cocoyam)",{"$f":"SUMIF(ALL_Countries_ALL_Crops_AVERAGE[Item],Sum_Global_Production[[#This Row],[Crop]],ALL_Countries_ALL_Crops_AVERAGE[Production (t)])","v":443859.33333333326}]

{"sheet":"Flour","index":40,"n_rows":127,"n_cols":23,"rows_kept":127,"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,{"$f":"C6-C5","v":0.28904895999999991},null,null,null,null,null,null,35,null,"Developing countries have\n- more food losses\n- higher emissions per kWh"]
[null,"WFLDB 3.0 (wheat) Flour (global)",0.97236199999999995]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sense check"]
[null,null,null,"Wheat","Wheat (from CH4)","Wheat (from N2O)"]
[null,"Country","Region","Wheat Emission factor (tCO2e/t)","Wheat (from CH4) (tCO2e/t)","Wheat (from N2O) (tCO2e/t)","Flour (tCO2e/t)","Flour (from CH4) (tCO2e/t)","Flour (from N2O) (tCO2e/t)","Production","Column4",null,null,null,null,"Country","Old tool","New","% difference","Production","Column4"]
[null,"Angola",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":6.4402318625413374E-2},{"$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":9.6895694097933159E-3},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":5.4712747612713088E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.35345127862541326},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":5.3178065174034034E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.30027320465434321},3.2884294161390263E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.16229958180376E-3},null,null,null,null,"Angola",7.1334342919522051E-2,{"$f":"VLOOKUP(P11,Flour[],4,FALSE)","v":9.6895694097933159E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.86416683727324872},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":5.4712747612713088E-2},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-4.7280942063007758E-2}]
[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":0.13340529195491455},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":3.1239597903685298E-4},{"$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":0.1330928959758777},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.42245425195491448},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":9.8926367690374876E-4},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.42146498827801077},2.2242808433054203E-6,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":9.3965689979623766E-7},null,"Weighted average",null,null,"Antigua and Barbuda",6.3587697018646208E-2,{"$f":"VLOOKUP(P12,Flour[],4,FALSE)","v":3.1239597903685298E-4},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.99508716318275758},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.1330928959758777},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.13243903229641399}]
[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":0.19108783023499112},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":4.4076248123648444E-3},{"$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":0.18668020502166977},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.48013679023499101},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":1.1074817414413452E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.46906197181311432},2.70070459564732E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.2967076359269934E-2},null,{"$f":"SUM(Flour[Column4])","v":0.58735397007397783},null,null,"Argentina",0.11603250095284155,{"$f":"VLOOKUP(P13,Flour[],4,FALSE)","v":4.4076248123648444E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.96201387735186195},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.18668020502166977},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.17958894785773705},null,"weighted average"]
[null,"Bahamas",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":0.12796844484638256},{"$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":8.4939611197236788E-4},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":0.12711949994084418},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.4170174048463825},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":2.767971141061633E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.41425090407511694},2.3085165113712447E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":9.6269156461706088E-6},null,null,null,null,"Bahamas",6.3587697018646208E-2,{"$f":"VLOOKUP(P14,Flour[],4,FALSE)","v":8.4939611197236788E-4},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.98664213123297595},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.12711949994084418},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.12542145434290466},null,{"$f":"SUM(Flour_sense_check[Column4])","v":-16.288239764195396}]
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[null,"Bhutan",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":0.18330413858511152},{"$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":5.6992157187758337E-3},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":0.17760483228181473},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.47235309858511143},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":1.468620526000166E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.45766665989950633},5.6302208500328091E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":2.6594522642314975E-5},null,{"$f":"MAX(Flour[Flour (tCO2e/t)])","v":0.99601865928880429},null,null,"Bhutan",0.1101040451219658,{"$f":"VLOOKUP(P19,Flour[],4,FALSE)","v":5.6992157187758337E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.94823790794913454},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.17760483228181473},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.1684116346045649}]
[null,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},{"$f":"INDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":7.5112698952941398E-2},{"$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":2.9611398859078477E-3},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":7.2151559067033549E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.36416165895294128},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":1.4356209113448424E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.34980544983949285},2.7062263768269919E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":9.85503886887525E-4},null,null,null,null,"Bolivia (Plurinational State of)",0.10913598893614564,{"$f":"VLOOKUP(P20,Flour[],4,FALSE)","v":2.9611398859078477E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.97286742975646301},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":7.2151559067033549E-2},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-7.0193901822466556E-2}]
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[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":0.12928033881400025},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":2.7533532717814654E-3},{"$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":0.12652698554221878},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.41832929881400016},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":8.9093852486627299E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.40941991356533741},9.1817165195728619E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":3.8409810335418375E-4},null,null,null,null,"Madagascar",0.13941139681644224,{"$f":"VLOOKUP(P65,Flour[],4,FALSE)","v":3.5326787852908068E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.9746600431100898},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":8.1243360368222897E-2},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-7.9184657118900686E-2}]
[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":4.7490905236229924E-2},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":3.3966945907598907E-3},{"$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":4.4094210645470026E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.33653986523622981},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":2.4070359032678474E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.31246950620355129},1.3421913316862446E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":4.5170088988692459E-4},null,null,null,null,"Malawi",0.1123684459461345,{"$f":"VLOOKUP(P66,Flour[],4,FALSE)","v":5.3320462829598674E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.95254854476214912},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.10270611577833071},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-9.783256112282171E-2}]
[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":0.18644248890218898},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":4.6800443453096227E-4},{"$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":0.18597449634956201},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.47549144890218886},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":1.1935697060154625E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.47429790949905004},3.733593316845098E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.7752916958382048E-4},null,null,null,null,"Malaysia",0.11062219091279017,{"$f":"VLOOKUP(P67,Flour[],4,FALSE)","v":2.7858307815087943E-4},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.9974816709391473},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.12014660017894396},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.11984403150415068}]
[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":0.11722456972168104},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":2.853732203750594E-2},{"$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":8.8687247684175102E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.40627352972168096},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":9.8903826906839257E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.30736970281484177},6.3385466721331671E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":2.5751837297931561E-5},null,null,null,null,"Maldives",0.1101040451219658,{"$f":"VLOOKUP(P68,Flour[],4,FALSE)","v":2.0192943918548529E-4},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.99816601252967774},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.6829732367666429},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.68172067240784739}]
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[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":9.4190096342125343E-2},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":5.7838144477502625E-5},{"$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":9.4132261846511911E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.38323905634212524},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":2.353308550574676E-4},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.38300374033350365},1.5653603646245888E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":5.9990722897409251E-4},null,null,null,null,"Samoa",0.11062219091279017,{"$f":"VLOOKUP(P91,Flour[],4,FALSE)","v":0},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-1},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":3.4597826655642316E-2},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-3.4597826655642316E-2}]
[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":0.14888290773429208},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":3.6680305701076504E-3},{"$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":0.14521487834058444},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.43793186773429199},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":1.0789334403251546E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.42714253679136416},4.4868253760886002E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.9649238171480978E-3},null,null,null,null,"Sao Tome and Principe",4.2022209680542225E-2,{"$f":"VLOOKUP(P92,Flour[],4,FALSE)","v":3.6152343535804913E-4},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.99139684852114174},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":3.8708332575229744E-2},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-3.8375318926591018E-2}]
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[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":4.7186228867326298E-2},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":3.1872852388129744E-3},{"$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":4.3998943628513323E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.33623518886732623},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":2.2711657192600855E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.31352353167472535},1.1000773254891893E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":3.6988470730452068E-4},null,null,null,null,"Sierra Leone",4.2022209680542225E-2,{"$f":"VLOOKUP(P95,Flour[],4,FALSE)","v":7.2202126349168805E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.82818103355806882},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":3.8107176347644989E-2},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-3.155964069357222E-2}]
[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":0.17455671932661673},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":0},{"$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":0.17455671932661673},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.46360567932661667},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.46360567932661667},1.0898178898919387E-6,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":5.0524576318565219E-7},null,null,null,null,"Solomon Islands",0.11062219091279017,{"$f":"VLOOKUP(P96,Flour[],4,FALSE)","v":8.3227649155015165E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.92476405640833104},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.38493175922856621},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.35597105510460392}]
[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":0.10849336463415719},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":0},{"$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":0.10849336463415719},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.39754232463415712},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.39754232463415712},5.7373690024845116E-6,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":2.2808470105316477E-6},null,null,null,null,"Somalia",0.24845441799717194,{"$f":"VLOOKUP(P97,Flour[],4,FALSE)","v":8.4169416158446832E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.96612279353414232},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.15571065350232419},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.15043561154469232}]
[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":3.4598221258424086E-2},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":0},{"$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":3.4597826655642316E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.32364718125842401},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.32364348996813824},4.1903697174664342E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.35620134748867E-5},null,null,null,null,"South Africa",0.12791643522533702,{"$f":"VLOOKUP(P98,Flour[],4,FALSE)","v":4.3288210735843513E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.96615899226742263},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.21990928731919274},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.21246733542655835}]
[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":3.9069856010587795E-2},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":3.6152343535804913E-4},{"$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":3.8708332575229744E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.32811881601058768},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":3.0361678716608782E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.32508264813892679},1.5734195958235043E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":5.1626857486946561E-6},null,null,null,null,"South Sudan",4.2022209680542225E-2,{"$f":"VLOOKUP(P99,Flour[],4,FALSE)","v":2.2682638974803756E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.94602226025894443},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.12966220570636211},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.12266333291249289}]
[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":0.12262460180497971},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":3.5864197817376173E-3},{"$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":0.1190381820232421},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.4116735618049796},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":1.2040277268535892E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.3996332845364437},7.6454974229286823E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":3.1474491558678433E-4},null,null,null,null,"Sri Lanka",0.1101040451219658,{"$f":"VLOOKUP(P100,Flour[],4,FALSE)","v":4.4744854776452916E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.95936129800963477},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.25123976422060551},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.2410297063143147}]
[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":0.15105703125199907},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":0},{"$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":0.15105703125199907},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.44010599125199901},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.44010599125199901},1.451283457760999E-6,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":6.3871854476553308E-7},null,null,null,null,"Sudan",0.11139916561727697,{"$f":"VLOOKUP(P101,Flour[],4,FALSE)","v":5.5286347935310767E-4},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.9950370949702394},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.19066993069434027},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.18972365393627322}]
[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":4.5327388982561868E-2},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":7.2202126349168805E-3},{"$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":3.8107176347644989E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.3343763489825618},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":5.3262903377692336E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.28111344560486945},2.4998253919607174E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":8.3588248765772616E-5},null,null,null,null,"Thailand",0.11062219091279017,{"$f":"VLOOKUP(P102,Flour[],4,FALSE)","v":2.6699946153009831E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.97586384256838765},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.21367344062294089},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.20851618482111131}]
[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":0.39325064225744671},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":8.3227649155015165E-3},{"$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":0.38493175922856621},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.68229960225744657},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":1.4440203222379818E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.66786613420448016},1.5531252255198547E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.0596967236282038E-4},null,null,null,null,"Timor-Leste",0.11062219091279017,{"$f":"VLOOKUP(P103,Flour[],4,FALSE)","v":1.1988350870647183E-2},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.89162797471532362},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.15946678887211765},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.14218504999640236}]
[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":0.1641275591910156},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":8.4169416158446832E-3},{"$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":0.15571065350232419},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.45317651919101554},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":2.324021829425521E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.42993640009608031},1.4302620107085697E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":6.4816115954405255E-5},null,null,null,null,"Togo",4.2022209680542225E-2,{"$f":"VLOOKUP(P104,Flour[],4,FALSE)","v":1.2886400360414265E-2},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.69334310455403947},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":7.7952077619034069E-2},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-5.4047535502818538E-2}]
[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":0.22423810771121552},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":4.3288210735843513E-3},{"$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":0.21990928731919274},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.51328706771121546},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":9.9087880208484982E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.50337828125047979},8.1310263605844802E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":4.1735506781070035E-3},null,null,null,null,"Tonga",0.11062219091279017,{"$f":"VLOOKUP(P105,Flour[],4,FALSE)","v":0},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-1},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":6.193565147567609E-2},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-6.193565147567609E-2}]
[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":0.1319304696038425},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":2.2682638974803756E-3},{"$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":0.12966220570636211},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.42097942960384238},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":7.237846151989029E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.4137415834518533},4.4303146113629639E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.8650713180571492E-4},null,null,null,null,"Trinidad and Tobago",6.3587697018646208E-2,{"$f":"VLOOKUP(P106,Flour[],4,FALSE)","v":1.986931378997587E-4},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.99687528960450489},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.15753418749118633},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.15704193877788675}]
[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":0.25571425645546009},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":4.4744854776452916E-3},{"$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":0.25123976422060551},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.54476321645546},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":9.5322612613499731E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.53523094079882716},1.1101379311071135E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":6.0476231005912096E-4},null,null,null,null,"Tuvalu",0.11062219091279017,{"$f":"VLOOKUP(P107,Flour[],4,FALSE)","v":0},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-1},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.20504031220217295},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.20504031220217295}]
[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":0.19122279417369337},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":5.5286347935310767E-4},{"$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":0.19066993069434027},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.48027175417369328},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":1.3885620393471734E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.4788831921343461},3.4575473084584606E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.6605623109718767E-3},null,null,null,null,"Uganda",0.10799586168363165,{"$f":"VLOOKUP(P108,Flour[],4,FALSE)","v":3.3124358976537155E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.96932812196677198},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":3.6449109480604133E-2},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-3.5331146840195268E-2}]
[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":0.10062111584916665},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":1.6375009183485294E-3},{"$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":9.8983620456811097E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.38967007584916658},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":6.3414632373234216E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.38332863401206402},9.5267080590024722E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":3.7122730519443598E-4},null,null,null,null,"United Republic of Tanzania",9.7985581963426452E-2,{"$f":"VLOOKUP(P109,Flour[],4,FALSE)","v":8.1506116752916909E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.91681825517621629},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":9.5802743979786428E-2},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-8.7833704576641553E-2}]
[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":0.21634343523824184},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":2.6699946153009831E-3},{"$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":0.21367344062294089},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.50539239523824175},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":6.2372818126613834E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.49915511342558044},2.8240357863923038E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.427246210323318E-2},null,null,null,null,"Uruguay",0.22630956679837427,{"$f":"VLOOKUP(P110,Flour[],4,FALSE)","v":2.7764238898602806E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.98773174316429202},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.59891723555949772},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.59156956509032155}]
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[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":9.0838470556911188E-2},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":1.2886400360414265E-2},{"$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":7.7952077619034069E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.3798874305569111},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":5.3891060604971591E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.3259964009930672},6.5297822072611406E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":2.4805821848126704E-4},null,null,null,null,"Venezuela (Bolivarian Republic of)",0.26562787728853382,{"$f":"VLOOKUP(P112,Flour[],4,FALSE)","v":3.5707688099111366E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.98655725127060945},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.52731842463931011},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.52022981555650583}]
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[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":0.15773285334356868},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":1.986931378997587E-4},{"$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":0.15753418749118633},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.44678181334356859},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":5.6280272985626228E-4},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.44621908790054693},1.8911967801036264E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":8.4495232680421639E-6},null,null,null,null,"Zambia",0.48926389336527182,{"$f":"VLOOKUP(P114,Flour[],4,FALSE)","v":6.9731939546810433E-3},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.98574758111268379},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.32389422346416774},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.31927794731617443}]
[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":0.30336661656555797},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":2.3441409767892708E-3},{"$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":0.30102247587650427},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.59241557656555788},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":4.5776481408443459E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.5878379289866047},1.9375105325976142E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.1478114192706567E-2},null,null,null,null,"Zimbabwe",0.13508544080052676,{"$f":"VLOOKUP(P115,Flour[],4,FALSE)","v":1.3598843402089193E-2},{"$f":"(Flour_sense_check[[#This Row],[New]]-Flour_sense_check[[#This Row],[Old tool]])/Flour_sense_check[[#This Row],[Old tool]]","v":-0.89933153919844067},{"$f":"VLOOKUP(Flour_sense_check[[#This Row],[Country]],Flour[[Country]:[Production]],5,FALSE)","v":0.25489963034526325},{"$f":"Flour_sense_check[[#This Row],[% difference]]*Flour_sense_check[[#This Row],[Production]]","v":-0.22923927689951915}]
[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":0.20504031220217295},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":0},{"$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":0.20504031220217295},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.49408927220217286},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.4940892722021728},5.239417097563879E-7,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":2.5887397804989576E-7}]
[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":3.9761546709913928E-2},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":3.3124358976537155E-3},{"$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":3.6449109480604133E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.32881050670991385},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":2.7392388276486747E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.30141810742121689},3.0691971211233497E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.0091842605891774E-3}]
[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":0.23976642236111914},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":4.065124909844552E-3},{"$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":0.23570129769590831},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.52881538236111902},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":8.9658116527569064E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.51984957124791253},2.0667684830824071E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.0929389656331331E-2}]
[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":0.10395335480542547},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":8.1506116752916909E-3},{"$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":9.5802743979786428E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.39300231480542536},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":3.0813909387199311E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.36218840863039231},5.7349328170361339E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":2.2538418723487995E-3}]
[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":0.60169365944935793},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":2.7764238898602806E-3},{"$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":0.59891723555949772},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.89074261944935784},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":4.1101963590893884E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.88663242309026868},6.7598398140542037E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":6.0212774230287015E-4}]
[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":0.56962351413189594},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":1.6342035092943572E-3},{"$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":0.56798931062260161},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.85867247413189585},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":2.4634614543596455E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.85620901267753624},6.0118572170475577E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":5.1622163106899207E-3}]
[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":2.5153436745323759E-2},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":2.8572537778543859E-4},{"$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":2.486771136753832E-2},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.31420239674532369},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":3.5691185828846204E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.31063327816243907},9.0905002769321337E-5,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":2.856256974626105E-5}]
[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":0.53088918813901853},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":3.5707688099111366E-3},{"$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":0.52731842463931011},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.81993814813901844},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":5.5149165416125004E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.81442323979881193},1.669473449990103E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.3688649689521434E-3}]
[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":0.43585464855410511},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":3.7241460791301866E-3},{"$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":0.43213050247497486},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.72490360855410496},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":6.1939156562855176E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.71870969289781939},1.0895621852906191E-2,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":7.8982755986126609E-3}]
[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":0.14000738829707021},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":1.8827239484968128E-3},{"$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":0.13812466434857337},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.42905634829707012},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":5.7696573875050811E-3},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.42328669090956494},3.6078345507711303E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.5479643176138615E-4}]
[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":0.33086742003468295},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":6.9731939546810433E-3},{"$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":0.32389422346416774},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.61991638003468286},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":1.306504325270972E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.60685133188092111},1.748256361333393E-3,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":1.0837727548904034E-3}]
[null,"Zimbabwe",{"$f":"VLOOKUP(Flour[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},{"$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":0.26849846828210877},{"$f":"INDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)], MATCH(_xlfn.CONCAT(Flour[[#This Row],[Country]],\"Wheat\"),Modelled_Crop_Emmissions[CONCAT],0))","v":1.3598843402089193E-2},{"$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":0.25489963034526325},{"$f":"Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]+$D$5","v":0.55754742828210868},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from CH4) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":2.8238522979131545E-2},{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Wheat (from N2O) (tCO2e/t)]]/Flour[[#This Row],[Wheat Emission factor (tCO2e/t)]]","v":0.52930891665176638},9.1095525577899517E-4,{"$f":"Flour[[#This Row],[Flour (tCO2e/t)]]*Flour[[#This Row],[Production]]","v":5.0790076013964929E-4}]

{"sheet":"NitrogenEmissions","index":41,"n_rows":121,"n_cols":37,"rows_kept":121,"cut":false,"hidden":true,"merged":[[1,9,1,11],[2,14,2,16],[1,14,1,16],[1,22,1,32]]}
[]
[null,null,null,"Fixed at 3 year average national FAO figure to avoid circular reference",null,null,null,null,null,"User defined values for N/ha, N/tonne and yield/ha are optional. Both or just one can be provided. If not provided, use FAO virtual values to the left.",null,null,null,null,"Synthetic Fertilizers Gg per unit adjusted for user-defined input (N/t, N/ha and/or t/ha)",null,null,null,"N2O to CO2e (AR5)",265]
[null,null,null,null,null,null,null,null,null,null,null,null,null,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","Virtual yield t/ha","User defined kg N/t crop","User defined kg N/ha","User defined yield (t/ha)","User-defined N/t implies Gg Synthetic Fertilizer N2O CO2e (possible alternative to col D)","User-defined N/ha implies Gg Synthetic Fertilizer N2O CO2e (possible alternative to col D)","Synthetic Fertilizers - Emissions (CO2eq) (AR5)","Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizers - Emissions (N2O)",null,"Synthetic Fertilizer manufacturing -  Emissions (CO2eq) (AR5)","Synthetic Fertilizer manufacturing -  Emissions (CO2eq) from N2O (AR5)","Synthetic Fertilizer manufacturing -  Emissions (N2O)",null,"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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[null,"Antigua and Barbuda",{"$f":"INDEX(Countries[Region],MATCH(userdefinedNorYield[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],\"Synthetic Fertilizers - Emissions (CO2eq) (AR5)\",Emissions_ALL_Countries[Area],userdefinedNorYield[[#This Row],[Country]]),0)","v":8.0600000000000005E-2},{"$f":"SUMIF(TARGET_Countries_ALL_Crops_AVERAGE[Area],userdefinedNorYield[[#This Row],[Country]],TARGET_Countries_ALL_Crops_AVERAGE[Production (t)])","v":12238.333333333334},{"$f":"SUMIF(TARGET_Countries_ALL_Crops_AVERAGE[Area],userdefinedNorYield[[#This Row],[Country]],TARGET_Countries_ALL_Crops_AVERAGE[Area harvested (ha)])","v":2539.3333333333335},3.4728909381936921,16.737620214725833,{"$f":"IFERROR(userdefinedNorYield[[#This Row],[Total production (tonnes)]]/userdefinedNorYield[[#This Row],[Production area (ha)]],0)","v":4.8195064321344185},{"$f":"IF(AND(Interface!$C$44=NperTonne,Interface!$C$43<>\"\"),Interface!$C$43,userdefinedNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]])","v":3.4728909381936921},{"$f":"IF(AND(Interface!$C$44=NperHa,Interface!$C$43<>\"\"),Interface!$C$43,userdefinedNorYield[[#This Row],[Virtual kg N per ha]])","v":16.737620214725833},{"$f":"IF(Interface!$C$45<>\"\",Interface!$C$45,userdefinedNorYield[[#This Row],[Virtual yield t/ha]])","v":4.8195064321344185},8.0600000000000005E-2,8.0600000000000005E-2,8.0600000000000005E-2,{"$f":"userdefinedNorYield[[#This Row],[Synthetic Fertilizers - Emissions (CO2eq) (AR5)]]","v":8.0600000000000005E-2},{"$f":"userdefinedNorYield[[#This Row],[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)]]/$T$2","v":3.0415094339622642E-4},null,{"$f":"(INDEX(FertilizerManufacturing!$C$7:$D$18,MATCH(userdefinedNorYield[[#This Row],[Region]],FertilizerManufacturing!$C$7:$C$18,0),2)*userdefinedNorYield[[#This Row],[User defined kg N/t crop]]/1000)*userdefinedNorYield[[#This Row],[Total production (tonnes)]]/1000","v":0.23501517639979683},{"$f":"S6","v":0.23501517639979683},{"$f":"T6/$T$2","v":8.8684972226338429E-4},null,{"$f":"IF(NitrogenMeasurement=NperHa,userdefinedNorYield[[#This Row],[User defined kg N/ha]],userdefinedNorYield[[#This Row],[User defined kg N/t crop]]*userdefinedNorYield[[#This Row],[User defined yield (t/ha)]])","v":16.737620214725833},{"$f":"userdefinedNorYield[[#This Row],[User defined yield (t/ha)]]","v":4.8195064321344185},{"$f":"IF(W6=0,0.5,X6/W6)","v":0.28794454470260922},{"$f":"IF(Y6-AVERAGE($Y$5:$Y$121)>=0,Y6/$AI$5,-$AJ$5/Y6)","v":-1.5137787153118103E-2},{"$f":"Z6*$AK$5","v":-1.5137787153118103E-4},{"$f":"IF(((-8*10^-5)*userdefinedNorYield[[#This Row],[User defined kg N/ha]]^2+(0.04*userdefinedNorYield[[#This Row],[User defined kg N/ha]])+4.3)<=0,0,(-8*10^-5)*userdefinedNorYield[[#This Row],[User defined kg N/ha]]^2+(0.04*userdefinedNorYield[[#This Row],[User defined kg N/ha]])+4.3)","v":4.9470929741528415},{"$f":"AB6-X6","v":0.12758654201842301},{"$f":"IF((-8*10^-5)*W6^2+((0.04+AA6)*W6)+MAX(4.3-AC6,0)<=0,0,(-8*10^-5)*W6^2+((0.04+AA6)*W6)+MAX(4.3-AC6,0))","v":4.8169727268118159},{"$f":"OR(userdefinedNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]]<>userdefinedNorYield[[#This Row],[User defined kg N/t crop]],userdefinedNorYield[[#This Row],[Virtual kg N per ha]]<>userdefinedNorYield[[#This Row],[User defined kg N/ha]],userdefinedNorYield[[#This Row],[Virtual yield t/ha]]<>userdefinedNorYield[[#This Row],[User defined yield (t/ha)]])","v":false},{"$f":"IF(AE6=TRUE,IFERROR(IF(ABS((AD6-X6)/AD6)>0.25,\"Please check your choices of N use or yield.\",\"\"),\"Please check your choices of N use or yield.\"),\"\")","v":""}]
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[null,"Saint Lucia",{"$f":"INDEX(Countries[Region],MATCH(userdefinedNorYield[[#This Row],[Country]],Countries[Country],0))","v":"Latin America and Caribbean"},{"$f":"IFERROR(AVERAGEIFS(Emissions_ALL_Countries[Value (kilotonnes)],Emissions_ALL_Countries[CONCAT],\"Synthetic Fertilizers - Emissions (CO2eq) (AR5)\",Emissions_ALL_Countries[Area],userdefinedNorYield[[#This Row],[Country]]),0)","v":0.80616666666666659},{"$f":"SUMIF(TARGET_Countries_ALL_Crops_AVERAGE[Area],userdefinedNorYield[[#This Row],[Country]],TARGET_Countries_ALL_Crops_AVERAGE[Production (t)])","v":48570},{"$f":"SUMIF(TARGET_Countries_ALL_Crops_AVERAGE[Area],userdefinedNorYield[[#This Row],[Country]],TARGET_Countries_ALL_Crops_AVERAGE[Area harvested (ha)])","v":5122.9999999999991},8.7525603628426225,82.981037833938373,{"$f":"IFERROR(userdefinedNorYield[[#This Row],[Total production (tonnes)]]/userdefinedNorYield[[#This Row],[Production area (ha)]],0)","v":9.4807729845793496},{"$f":"IF(AND(Interface!$C$44=NperTonne,Interface!$C$43<>\"\"),Interface!$C$43,userdefinedNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]])","v":8.7525603628426225},{"$f":"IF(AND(Interface!$C$44=NperHa,Interface!$C$43<>\"\"),Interface!$C$43,userdefinedNorYield[[#This Row],[Virtual kg N per ha]])","v":82.981037833938373},{"$f":"IF(Interface!$C$45<>\"\",Interface!$C$45,userdefinedNorYield[[#This Row],[Virtual yield t/ha]])","v":9.4807729845793496},0.80616666666666659,0.80616666666666659,0.8061666666666667,{"$f":"userdefinedNorYield[[#This Row],[Synthetic Fertilizers - Emissions (CO2eq) (AR5)]]","v":0.8061666666666667},{"$f":"userdefinedNorYield[[#This Row],[Synthetic Fertilizers - Emissions (CO2eq) from N2O (AR5)]]/$T$2","v":3.0421383647798745E-3},null,{"$f":"(INDEX(FertilizerManufacturing!$C$7:$D$18,MATCH(userdefinedNorYield[[#This Row],[Region]],FertilizerManufacturing!$C$7:$C$18,0),2)*userdefinedNorYield[[#This Row],[User defined kg N/t crop]]/1000)*userdefinedNorYield[[#This Row],[Total production (tonnes)]]/1000","v":2.3506377341724916},2.3506377341724916,8.8703310723490247E-3,null,{"$f":"IF(NitrogenMeasurement=NperHa,userdefinedNorYield[[#This Row],[User defined kg N/ha]],userdefinedNorYield[[#This Row],[User defined kg N/t crop]]*userdefinedNorYield[[#This Row],[User defined yield (t/ha)]])","v":82.981037833938359},{"$f":"userdefinedNorYield[[#This Row],[User defined yield (t/ha)]]","v":9.4807729845793496},0.11425228259439549,-3.8151038479325897E-2,-3.8151038479325899E-4,{"$f":"IF(((-8*10^-5)*userdefinedNorYield[[#This Row],[User defined kg N/ha]]^2+(0.04*userdefinedNorYield[[#This Row],[User defined kg N/ha]])+4.3)<=0,0,(-8*10^-5)*userdefinedNorYield[[#This Row],[User defined kg N/ha]]^2+(0.04*userdefinedNorYield[[#This Row],[User defined kg N/ha]])+4.3)","v":7.0683733021577337},-2.4123996824216158,9.4491148569047798,{"$f":"OR(userdefinedNorYield[[#This Row],[Virtual kg N per tonne production (N2O-N -> N)]]<>userdefinedNorYield[[#This Row],[User defined kg N/t crop]],userdefinedNorYield[[#This Row],[Virtual kg N per ha]]<>userdefinedNorYield[[#This Row],[User defined kg N/ha]],userdefinedNorYield[[#This Row],[Virtual yield t/ha]]<>userdefinedNorYield[[#This Row],[User defined yield (t/ha)]])","v":false},""]
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{"sheet":"Crops & Countries","index":42,"n_rows":120,"n_cols":23,"rows_kept":120,"cut":false,"hidden":true,"merged":[]}
[null,null,null,null,"Parameters for estimating biogenic CH4 emissions in landfill"]
[]
[null,"Country","Region","Climate Zone","Landfill CH4 Collection Efficiency","Notes",null,"IFC name","FAO name","Category",null,"Country","Region","UN Country code",null,"Regions","CountryChoiceList","Africa","Latin America and Caribbean","South Asia","Europe and Central Asia","East Asia and Pacific","Middle East and North Africa"]
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[null,"Antigua and Barbuda","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Apples","Fruits","Fruits and vegetables",null,"Benin","Africa",204,null,"Latin America and Caribbean",{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P3),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P3),FALSE),\"\"))","v":""},"Benin","Argentina","Bhutan","Kazakhstan","China","Lebanon"]
[null,"Argentina","Latin America and Caribbean","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Avocados","Fruits","Fruits and vegetables",null,"Botswana","Africa",72,null,"South Asia",{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P4),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P4),FALSE),\"\"))","v":""},"Botswana","Bahamas","India","Kyrgyzstan","Fiji","Morocco"]
[null,"Bahamas","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Bananas","Fruits","Fruits and vegetables",null,"Burkina Faso","Africa",854,null,"Europe and Central Asia",{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P5),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P5),FALSE),\"\"))","v":""},"Burkina Faso","Barbados","Maldives","Tajikistan","Indonesia","Pakistan"]
[null,"Bangladesh","South Asia","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Barley","Pulses & Grains","Cereals",null,"Burundi","Africa",108,null,"East Asia and Pacific",{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P6),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P6),FALSE),\"\"))","v":""},"Burundi","Belize","Myanmar","Turkey","Kiribati","Yemen"]
[null,"Barbados","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Beans","Pulses & Grains","Oilseeds and pulses",null,"Cabo Verde","Africa",132,null,"Middle East and North Africa",{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P7),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P7),FALSE),\"\"))","v":""},"Cabo Verde","Bolivia (Plurinational State of)","Nepal","Ukraine","Lao People's Democratic Republic"]
[null,"Belize","Latin America and Caribbean","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P8),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P8),FALSE),\"\"))","v":""},"Cameroon","Brazil","Sri Lanka","Uzbekistan","Malaysia"]
[null,"Benin","Africa","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P9),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P9),FALSE),\"\"))","v":""},"Central African Republic","Chile",null,null,"Marshall Islands"]
[null,"Bhutan","South Asia","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P10),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P10),FALSE),\"\"))","v":""},"Chad","Colombia",null,null,"Micronesia (Federated States of)"]
[null,"Bolivia (Plurinational State of)","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Cassava","Tubers/Root Crops","Roots and tubers",null,"Comoros","Africa",174,null,null,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P11),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P11),FALSE),\"\"))","v":""},"Comoros","Costa Rica",null,null,"Mongolia"]
[null,"Bosnia and Herzegovina","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Chickpeas","Pulses & Grains","Oilseeds and pulses",null,"Congo","Africa",178,null,null,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P12),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P12),FALSE),\"\"))","v":""},"Congo","Dominica",null,null,"Papua New Guinea"]
[null,"Botswana","Africa","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P13),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P13),FALSE),\"\"))","v":""},"Cote d'Ivoire","Dominican Republic",null,null,"Philippines"]
[null,"Brazil","Latin America and Caribbean","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P14),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P14),FALSE),\"\"))","v":""},"Democratic Republic of the Congo","Ecuador",null,null,"Samoa"]
[null,"Burkina Faso","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Cotton","Cotton","Oilseeds and pulses",null,"Equatorial Guinea","Africa",226,null,null,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P15),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P15),FALSE),\"\"))","v":""},"Equatorial Guinea","El Salvador",null,null,"Solomon Islands"]
[null,"Burundi","Africa","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P16),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P16),FALSE),\"\"))","v":""},"Eritrea","Grenada",null,null,"Thailand"]
[null,"Cabo Verde","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Flour","Flour","Cereals",null,"Eswatini","Africa",748,null,null,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P17),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P17),FALSE),\"\"))","v":""},"Eswatini","Guatemala",null,null,"Timor-Leste"]
[null,"Cambodia","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Garlic (green)","Tubers/Root Crops","Roots and tubers",null,"Ethiopia","Africa",231,null,null,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P18),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P18),FALSE),\"\"))","v":""},"Ethiopia","Guinea",null,null,"Tonga"]
[null,"Cameroon","Africa","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P19),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P19),FALSE),\"\"))","v":""},"Gabon","Guinea-Bissau",null,null,"Tuvalu"]
[null,"Central African Republic","Africa","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P20),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P20),FALSE),\"\"))","v":""},"Gambia","Guyana",null,null,"Vanuatu"]
[null,"Chad","Africa","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P21),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P21),FALSE),\"\"))","v":""},"Ghana","Haiti",null,null,"Viet Nam"]
[null,"Chile","Latin America and Caribbean","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Lentils","Pulses & Grains","Oilseeds and pulses",null,"Kenya","Africa",404,null,null,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P22),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P22),FALSE),\"\"))","v":""},"Kenya","Honduras"]
[null,"China","East Asia and Pacific","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,"Lettuce","Vegetables ","Fruits and vegetables",null,"Lesotho","Africa",426,null,null,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P23),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P23),FALSE),\"\"))","v":""},"Lesotho","Jamaica"]
[null,"Colombia","Latin America and Caribbean","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P24),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P24),FALSE),\"\"))","v":""},"Liberia","Mexico"]
[null,"Comoros","Africa","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P25),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P25),FALSE),\"\"))","v":""},"Madagascar","Nicaragua"]
[null,"Congo","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Meat (cattle)","Animal Protein","Meat",null,"Malawi","Africa",454,null,null,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P26),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P26),FALSE),\"\"))","v":""},"Malawi","Panama"]
[null,"Costa Rica","Latin America and Caribbean","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P27),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P27),FALSE),\"\"))","v":""},"Mali","Paraguay"]
[null,"Cote d'Ivoire","Africa","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P28),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P28),FALSE),\"\"))","v":""},"Mauritania","Peru"]
[null,"Democratic Republic of the Congo","Africa","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P29),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P29),FALSE),\"\"))","v":""},"Mauritius","Saint Kitts and Nevis"]
[null,"Dominica","Latin America and Caribbean","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P30),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P30),FALSE),\"\"))","v":""},"Mozambique","Saint Lucia"]
[null,"Dominican Republic","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Mushrooms","Mycoprotein","Mycoprotein",null,"Namibia","Africa",516,null,null,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P31),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P31),FALSE),\"\"))","v":""},"Namibia","Trinidad and Tobago"]
[null,"Ecuador","Latin America and Caribbean","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P32),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P32),FALSE),\"\"))","v":""},"Niger","Uruguay"]
[null,"Egypt","Middle East and North Africa","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P33),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P33),FALSE),\"\"))","v":""},"Nigeria","Venezuela (Bolivarian Republic of)"]
[null,"El Salvador","Latin America and Caribbean","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P34),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P34),FALSE),\"\"))","v":""},"Rwanda"]
[null,"Equatorial Guinea","Africa","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P35),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P35),FALSE),\"\"))","v":""},"Sao Tome and Principe"]
[null,"Eritrea","Africa","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P36),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P36),FALSE),\"\"))","v":""},"Senegal"]
[null,"Eswatini","Africa","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},"formerly Swaziland",null,"Peppers","Vegetables ","Fruits and vegetables",null,"Seychelles","Africa",690,null,null,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P37),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P37),FALSE),\"\"))","v":""},"Seychelles"]
[null,"Ethiopia","Africa","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P38),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P38),FALSE),\"\"))","v":""},"Sierra Leone"]
[null,"Fiji","East Asia and Pacific","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P39),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P39),FALSE),\"\"))","v":""},"Somalia"]
[null,"Gabon","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Quinoa","Pulses & Grains","Oilseeds and pulses",null,"South Africa","Africa",710,null,null,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P40),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P40),FALSE),\"\"))","v":""},"South Africa"]
[null,"Gambia","Africa","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P41),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P41),FALSE),\"\"))","v":""},"South Sudan"]
[null,"Ghana","Africa","Tropical, dry",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P42),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P42),FALSE),\"\"))","v":""},"Sudan"]
[null,"Grenada","Latin America and Caribbean","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P43),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P43),FALSE),\"\"))","v":""},"Togo"]
[null,"Guatemala","Latin America and Caribbean","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P44),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P44),FALSE),\"\"))","v":""},"Uganda"]
[null,"Guinea","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Sorghum","Pulses & Grains","Cereals",null,"United Republic of Tanzania","Africa",834,null,null,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P45),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P45),FALSE),\"\"))","v":""},"United Republic of Tanzania"]
[null,"Guinea-Bissau","Latin America and Caribbean","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P46),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P46),FALSE),\"\"))","v":""},"Zambia"]
[null,"Guyana","Latin America and Caribbean","Tropical, wet",{"$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,{"$f":"IF(IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P47),FALSE),\"\")=0,\"\",IFERROR(HLOOKUP(Region,'Crops & Countries'!$R$3:$W$49,ROW(P47),FALSE),\"\"))","v":""},"Zimbabwe"]
[null,"Haiti","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Sunflower seeds","Nuts/Seeds","Oilseeds and pulses",null,"Antigua and Barbuda","Latin America and Caribbean",28]
[null,"Honduras","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Sweet potatoes","Tubers/Root Crops","Roots and tubers",null,"Argentina","Latin America and Caribbean",32]
[null,"India","South Asia","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Tomatoes","Fruits","Fruits and vegetables",null,"Bahamas","Latin America and Caribbean",44]
[null,"Indonesia","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,"Wheat","Pulses & Grains","Cereals",null,"Barbados","Latin America and Caribbean",52]
[null,"Jamaica","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Belize","Latin America and Caribbean",84]
[null,"Kazakhstan","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Bolivia (Plurinational State of)","Latin America and Caribbean",68]
[null,"Kenya","Africa","Tropical, dry",{"$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,"Kiribati","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Chile","Latin America and Caribbean",152]
[null,"Kyrgyzstan","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},"Kyrgyz Republic",null,null,null,null,null,"Colombia","Latin America and Caribbean",170]
[null,"Lao People's Democratic Republic","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Costa Rica","Latin America and Caribbean",188]
[null,"Lebanon","Middle East and North Africa","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Dominica","Latin America and Caribbean",212]
[null,"Lesotho","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Dominican Republic","Latin America and Caribbean",214]
[null,"Liberia","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Ecuador","Latin America and Caribbean",218]
[null,"Madagascar","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"El Salvador","Latin America and Caribbean",222]
[null,"Malawi","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Grenada","Latin America and Caribbean",308]
[null,"Malaysia","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Guatemala","Latin America and Caribbean",320]
[null,"Maldives","South Asia","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Guinea","Latin America and Caribbean",324]
[null,"Mali","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Guinea-Bissau","Latin America and Caribbean",624]
[null,"Marshall Islands","East Asia and Pacific","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Guyana","Latin America and Caribbean",328]
[null,"Mauritania","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Haiti","Latin America and Caribbean",332]
[null,"Mauritius","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Honduras","Latin America and Caribbean",340]
[null,"Mexico","Latin America and Caribbean","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Jamaica","Latin America and Caribbean",388]
[null,"Micronesia (Federated States of)","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Mexico","Latin America and Caribbean",484]
[null,"Mongolia","East Asia and Pacific","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Nicaragua","Latin America and Caribbean",558]
[null,"Morocco","Middle East and North Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Panama","Latin America and Caribbean",591]
[null,"Mozambique","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Paraguay","Latin America and Caribbean",600]
[null,"Myanmar","South Asia","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Peru","Latin America and Caribbean",604]
[null,"Namibia","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Saint Kitts and Nevis","Latin America and Caribbean",659]
[null,"Nepal","South Asia","Temperate, dry",{"$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,"Nicaragua","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Trinidad and Tobago","Latin America and Caribbean",780]
[null,"Niger","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Uruguay","Latin America and Caribbean",858]
[null,"Nigeria","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)","Latin America and Caribbean",862]
[null,"Pakistan","Middle East and North Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Bangladesh","South Asia",50]
[null,"Panama","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Bhutan","South Asia",64]
[null,"Papua New Guinea","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"India","South Asia",356]
[null,"Paraguay","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Maldives","South Asia",462]
[null,"Peru","Latin America and Caribbean","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Myanmar","South Asia",104]
[null,"Philippines","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Nepal","South Asia",524]
[null,"Rwanda","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Sri Lanka","South Asia",144]
[null,"Saint Kitts and Nevis","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Bosnia and Herzegovina","Europe and Central Asia",70]
[null,"Saint Lucia","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Kazakhstan","Europe and Central Asia",398]
[null,"Samoa","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Kyrgyzstan","Europe and Central Asia",417]
[null,"Sao Tome and Principe","Africa","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Tajikistan","Europe and Central Asia",762]
[null,"Senegal","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Turkey","Europe and Central Asia",792]
[null,"Seychelles","Africa","Tropical, wet",{"$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,"Sierra Leone","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Uzbekistan","Europe and Central Asia",860]
[null,"Solomon Islands","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Cambodia","East Asia and Pacific",116]
[null,"Somalia","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"China","East Asia and Pacific",156]
[null,"South Africa","Africa","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Fiji","East Asia and Pacific",242]
[null,"South Sudan","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Indonesia","East Asia and Pacific",360]
[null,"Sri Lanka","South Asia","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Kiribati","East Asia and Pacific",296]
[null,"Sudan","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Lao People's Democratic Republic","East Asia and Pacific",418]
[null,"Tajikistan","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Malaysia","East Asia and Pacific",458]
[null,"Thailand","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Marshall Islands","East Asia and Pacific",584]
[null,"Timor-Leste","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Micronesia (Federated States of)","East Asia and Pacific",583]
[null,"Togo","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Mongolia","East Asia and Pacific",496]
[null,"Tonga","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Papua New Guinea","East Asia and Pacific",598]
[null,"Trinidad and Tobago","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Philippines","East Asia and Pacific",608]
[null,"Turkey","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Samoa","East Asia and Pacific",882]
[null,"Tuvalu","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Solomon Islands","East Asia and Pacific",90]
[null,"Uganda","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Thailand","East Asia and Pacific",764]
[null,"Ukraine","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Timor-Leste","East Asia and Pacific",626]
[null,"United Republic of Tanzania","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Tonga","East Asia and Pacific",776]
[null,"Uruguay","Latin America and Caribbean","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Tuvalu","East Asia and Pacific",798]
[null,"Uzbekistan","Europe and Central Asia","Temperate, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.7},null,null,null,null,null,null,"Vanuatu","East Asia and Pacific",548]
[null,"Vanuatu","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Viet Nam","East Asia and Pacific",704]
[null,"Venezuela (Bolivarian Republic of)","Latin America and Caribbean","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Egypt","Middle East and North Africa",818]
[null,"Viet Nam","East Asia and Pacific","Tropical, wet",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Lebanon","Middle East and North Africa",422]
[null,"Yemen","Middle East and North Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Morocco","Middle East and North Africa",504]
[null,"Zambia","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Pakistan","Middle East and North Africa",586]
[null,"Zimbabwe","Africa","Tropical, dry",{"$f":"VLOOKUP(Countries[[#This Row],[Climate Zone]],methaneDefaults,2,FALSE)","v":0.5},null,null,null,null,null,null,"Yemen","Middle East and North Africa",887]

{"sheet":"UN country codes","index":43,"n_rows":265,"n_cols":16,"rows_kept":265,"cut":false,"hidden":true,"merged":[]}
[]
[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,"Cote 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":"GhG summary","index":44,"n_rows":5267,"n_cols":22,"rows_kept":562,"cut":true,"hidden":true,"merged":[[2,0,4,0],[2,12,4,12]],"bounds":{"rows_first":250,"rows_last":62,"rows_between":250,"halvings":3}}
[]
[null,"Country","Region","Animal Protein","Name Discrepancies","Farm system","CONCAT","EF (tonneCO2e/tonne)","CH4 EF (tonneCO2e/tonne)","N2O EF (tonneCO2e/tonne)","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)","Type of calculation"]
["Animal Proteins EF","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},{"$f":"\"Direct livestock Emission Factor calculation\"","v":"Direct livestock Emission Factor calculation"},null,"ALL non-animal proteins EF\n(crops & Flour)","Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.21972555766317503},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.3058530927530132E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.18666702126690346},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$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},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"AngolaApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":4.5460460206174148E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.8396960539717526E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.8620763020738649E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4460270523649441},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16416277296673998},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.4698902417120219E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13946386646377845},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":3.5862358905497278E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.3956258599145261E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.0466732153005802E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":26.004310374561491},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.1876737502848139E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.3095862956837725E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.2567149667116495E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":7.8293014799522137E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1779476537395795E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.651353631349434E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":24.82694229129531},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.20469216736132387},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.0796701199915021E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17389546106683293},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":2.7781392348217526E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.1798142552049583E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.3601577401562501E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.7134527267339463},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.19573253699880536},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.9448691343489489E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16628384078373584},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":3.0372881943133579E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.5697135451784662E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.5803167642005555E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6046209345186038},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.4606967605935224E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2729434322669651E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.1877531177485826E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.10632696525999619},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5997289104011707E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.0329673509616501E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3169385668290252},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.871976109964161E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.8346074030468472E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.9885152235120758E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},{"$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":0.29864996774333852},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.4933003243453319E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.25371695706679698},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.6023716210893251},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.35345127862541326},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.3178065174034034E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.30027320465434321},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"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)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":7.1979061993109064E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0829518752121941E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.114954144950286E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8533644622916616},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.11112556939287013},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6719257020819837E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.440630960625003E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":5.1774413012587221E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.7896538392456067E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.3984757884730129E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Angola",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4894886513200649},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.1250162655669789},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.8809164148422316E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10620709830703128},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":3.7883716838478451E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.6997467116431258E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.218396918394887E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Antigua and Barbuda",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.88838077236245538},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13006742781210937},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.9569130376641403E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.11049829419822448},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":2.6309296818395445E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.9583319837820643E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.2350964179802247E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Antigua and Barbuda",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":13.311744162216891},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.9555805360804768E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1969468094450568E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.758633528629264E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (cattle)Grassland"},{"$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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":3.535813571591323E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.3197635975335859E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.0038371238352287E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Antigua and Barbuda",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":12.557009968800195},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.6997220185390201E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.5663699787088785E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.1430849285858847E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},{"$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":3.4095345154630613E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.1297720404788142E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.896557226555399E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Antigua and Barbuda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":12.031216807141845},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.5562784696435066E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.3596285104099183E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.7203154803125015E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":2.2730230103087074E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.4198480269858763E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.9310381510369325E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Antigua and Barbuda",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5924850284437502},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.4197669644891531E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.6497044969169809E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.7547964047940356E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"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)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":7.5767433676956902E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1399493423286252E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.436793836789774E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Antigua and Barbuda",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1749823285447436},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13638138061852245},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.0519088161915257E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.11586228906221596},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Antigua and BarbudaMeat (chicken)Aggregated"},{"$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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":9.0920920412348283E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.3679392107943503E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.7241526041477285E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Antigua and Barbuda",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.7007568958778292},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.5255811225652305E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.7998311410954179E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.1455979455965918E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.14522091454750075},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.1849029061298653E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12337188187180402},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Antigua and Barbuda",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.8415544976143966},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.2639232273080665},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.9708235424447104E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.22421498531484377},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Capped to CLUNE's MIN/MAX"}]
[null,"Antigua and Barbuda",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.157669492125265},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.1774413012587221E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.7896538392456067E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.3984757884730129E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.11112556939287013},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6719257020819837E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.440630960625003E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Argentina",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.84266991071289821},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16500463334092838},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.482556345515673E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14017906577897732},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":1.0951693178570967E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6477231483813248E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.3039697576133475E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Argentina",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.83900113927224795},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.6555056038454644E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0013456795060393E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.6541597586907875E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.17805346914084874},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.6788809544722698E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.1512646551645597},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Argentina",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":15.376157101000828},"Direct livestock Emission Factor calculation",null,null,"Angola",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.1253656501165823E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.1976920128879809E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.8055963959296355E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":5.8088365819000301E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.7396116245194617E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.9348752748721608E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,"Argentina",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2986788244491918},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.4168441379939696E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.2051480873189625E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.3947926571207804E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[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},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Barley",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.12817371187825122},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.0014515632952537E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12787356672192168},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Argentina",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.86436183340550421},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16217898237656278},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.7977550392715456E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16179920687263563},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[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},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Carrots",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":5.7547380843296456E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.347590497806032E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.7412621793515854E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Argentina",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.8415544976143966},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.40544745594140696},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.4943875981788649E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.40449801718158906},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cassava",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":6.2915486113212585E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4732957435870681E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.2768156538853884E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Argentina",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.157669492125265},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Chickpeas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17525793256822109},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.1040256069547354E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17484753000752562},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cocoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.22024952122752559},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.1575963597849054E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.21973376159154709},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bahamas",{"$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":"BahamasEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2713474682288362},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.84266991071289821},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Coffee",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12163423678242209},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.8483162794536594E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12134940515447673},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bahamas",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BahamasEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cotton",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},{"$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":0.61863434406543705},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4486597851414847E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.61718568428029563},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bahamas",{"$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":"BahamasEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2614585964211535},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.83900113927224795},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Flour",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.42245425195491448},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.8926367690374876E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.42146498827801077},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[null,"Bahamas",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BahamasMeat (cattle)Grassland"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Ginger",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":0.23018952337318591},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.3903619912241301E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.2296504871740635},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,"Bahamas",{"$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":"BahamasMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.27939677457124},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16479477241489446},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.8590091528081842E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16440887149961364},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bahamas",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BahamasMeat (pig)Industrial"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":7.3242121073286426E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.7151151790258595E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.3070609555383845E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,"Bahamas",{"$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":"BahamasMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.7007568958778292},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mushrooms",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.0626331034954762E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6538610654892217E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.0460944928405836E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[null,"Bahamas",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BahamasMeat (chicken)Broilers"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Onions, dry",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":4.7084220689969848E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1025740436594813E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.6973963285603902E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bahamas",{"$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":"BahamasMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0295585383740631},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.1552651341608018E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.1438939737823242E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.1338261944229782E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bahamas",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BahamasMilk (cattle)Grassland"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peas (dry)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.15694740229989945},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.6752468121982695E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.15657987761867964},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bahamas",{"$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":"BahamasMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.95140533008401484},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28250532413981905},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.6154442619568868E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28184377971362334},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BangladeshEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.8570761649615029},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.12285427509334461},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":1.0599752572007175},"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.18833688275987934},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.4102961746379234E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.18789585314241555},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"BangladeshEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.7464048828149226},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.11809540996104166},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0189162115243362},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.2315800766633162E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.225082270732757E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.2193292539559885E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BangladeshEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.8911613884889418},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.12431993970502449},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":1.0726208751293973},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Quinoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.30081585440814063},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.0442230567133504E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.30011143210246932},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"BangladeshMeat (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":83.770567986079769},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":38.869543545541013},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":24.377235283949211},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rapeseeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.54670011801131635},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2802109729157306E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.5454199070384006},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BangladeshMeat (cattle)Grassland"},{"$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":83.951875900353272},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":38.953670417763917},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":24.4299958870028},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.85913225014306349},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.85913225014306349},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 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},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Regional average for Emission Factor"}]
[null,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"BangladeshMeat (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":83.72378001565788},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":38.847833927265256},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":24.36361998455644},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rye",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10724739157159797},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.5114186550021514E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10699624970609777},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BangladeshMeat (cattle)Grass+lot"},{"$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":0},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sesame seed",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.23018952337318591},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.3903619912241301E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.2296504871740635},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"BangladeshMeat (cattle)Mixed+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":0},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sorghum",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28537949000000001},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.682748777740936E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28471121512222591},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Crop Emission Factor capped to a bibliography MAX"}]
[null,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BangladeshMeat (pig)Aggregated"},{"$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":9.4397265044893519},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3504918996178485},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.3788110791313168},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Soybeans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":2.2685733325622612E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.3123318937167251E-5},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.2632610006685445E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BangladeshMeat (pig)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":8.8549375063747124},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.2048794390873034},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2314442516064275},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sugar cane",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13786455008752027},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.2283825077659929E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13754171183674369},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BangladeshMeat (pig)Intermediate"},{"$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":11.121946276156667},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.76936462276301},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.8027304615914801},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sunflower seeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.36882639540476375},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.6368300086659344E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.36796271240389716},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bangladesh",{"$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":"BangladeshMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.177303658958325},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sweet potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.4025592729648337E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0309499677197462E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.3922497732876362E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BangladeshMeat (chicken)Aggregated"},{"$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":4.4208230091524454},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19009538939355514},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":1.6401253363955572},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.12032634176325627},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.8176892226853406E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12004457284098774},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"BangladeshMeat (chicken)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.2340834868693555},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.22506558993538228},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.9418449736285308},"Direct livestock Emission Factor calculation",null,null,"Antigua and Barbuda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Wheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Antigua and BarbudaWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13340529195491455},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.1239597903685298E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.1330928959758777},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BangladeshMeat (chicken)Layers"},{"$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":6.506383813968653},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.27977450400065207},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.4138683949823703},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Almonds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.6519467149193815},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5037778771597704E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.63690893477981447},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"BangladeshMeat (chicken)Broilers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.3005771915534652},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.18492481923679899},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5955141380663356},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13488552722469963},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.1112645734340076E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13177426236823747},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BangladeshMilk (cattle)Aggregated"},{"$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":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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Avocados",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.48708662608919306},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1235122070733917E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.4758515029964131},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"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":"BangladeshMilk (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.7445035196180045},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.2726171858970243},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4138620488461653},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10640704397955983},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.45438093403409E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10395266282225354},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bangladesh",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BangladeshMilk (cattle)Mixed"},{"$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":4.3859500858224321},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1008700911089453},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":1.3070131255750848},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Barley",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.18359418983361891},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.2347767805073992E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17935941266787878},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Barbados",{"$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":"BarbadosEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2713474682288362},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.84266991071289821},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.23230285244253823},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.3582889875807907E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.22694456296752011},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Barbados",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BarbadosEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Buckwheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.60734121009951425},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4008909850063919E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.593332298975076},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Barbados",{"$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":"BarbadosEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2614585964211535},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.83900113927224795},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Carrots",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.2430044415094189E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.901328350431893E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.0528715891700658E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Barbados",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BarbadosMeat (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.58075713110634564},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.3395722468951978E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.56736140741880026},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Barbados",{"$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":"BarbadosMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":15.376157101000828},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cassava",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.0119241548652931E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.0786870866285438E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.8040554272928631E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Barbados",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BarbadosMeat (cattle)Mixed"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Chickpeas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.25103695344596877},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.7904090672244038E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.24524654385199757},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,"Barbados",{"$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":"BarbadosMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2986788244491918},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cotton",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.88612297746226276},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.0439279767142857E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.86568369583578231},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[null,"Barbados",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BarbadosMeat (pig)Industrial"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Ginger",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":0.32972017766037687},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.6053134017275746E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.32211486356680274},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,"Barbados",{"$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":"BarbadosMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.704637465147816},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lemons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.11240460602058301},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.5927204778616732E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10981188530686456},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Barbados",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BarbadosMeat (chicken)Broilers"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lentils",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.38592248067066837},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.9016736406584106E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.37702080622023504},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Barbados",{"$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":"BarbadosMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0295585383740631},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.8062196382658142E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.8005797295452095E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.6261616489316286E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Barbados",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BarbadosMilk (cattle)Grassland"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.23604967264322435},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.4447130035095142E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.23060495914441559},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Barbados",{"$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":"BarbadosMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.95140533008401484},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10491096561921083},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.4198724460042283E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10249109295307361},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Belize",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BelizeEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Millet",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.10977428578421855},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.5320496087434868E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10724223594513745},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Belize",{"$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":"BelizeEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3945573379041925},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.88838077236245538},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mushrooms",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10116414541852473},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.3334484300755061E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.8830696776178117E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Belize",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BelizeEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Oats",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.16486008883018843},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.8026567008637873E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16105743178340137},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Belize",{"$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":"BelizeMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":13.311744162216891},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Onions, dry",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.7442763612349813E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5556322867170038E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.5887131184118736E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Belize",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BelizeMeat (cattle)Grassland"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.13113870702401351},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.024840557505285E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12811386619134199},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,"Belize",{"$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":"BelizeMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":12.031216807141845},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Pineapples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.26977105444939919},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.2225291468680144E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.26354852473647489},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Belize",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BelizeMeat (pig)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":7.4936404013722008E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.7284803185744486E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.3207923537909711E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Belize",{"$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":"BelizeMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5924850284437502},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Quinoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.43088432307890151},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.9387618318030786E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.42094556034298081},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Belize",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BelizeMeat (pig)Intermediate"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rapeseeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.78308542194339492},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.8062619329102986E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.76502280097115638},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Belize",{"$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":"BelizeMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1749823285447436},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1813035648944181},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1813035648944181},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[null,"Belize",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BelizeMeat (chicken)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sesame seed",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.32972017766037687},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.6053134017275746E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.32211486356680274},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,"Belize",{"$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":"BelizeMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.8415544976143966},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Soybeans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.2494719624375126E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.4952199892114335E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.1745197557270836E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Belize",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BelizeMilk (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sugar cane",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":0.19747520774101496},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.5549558252654049E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.1929202515013905},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Belize",{"$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":"BelizeMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.157669492125265},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.5283016482967402},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2185786245949863E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.51611586094226347},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Belize",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BelizeMilk (cattle)Mixed"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sweet potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":6.3061628712308221E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4545771914344114E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.160705138855261E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Benin",{"$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":"BeninEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.668757866893702},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3611091686175634},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17235372923156062},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.9755047327212321E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16837822413719233},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Benin",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BeninEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Argentina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Wheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ArgentinaWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.19108783023499112},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.4076248123648444E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.18668020502166977},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Benin",{"$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":"BeninEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.8976470414149436},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4460270523649441},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Almonds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.4365982235935405},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.8979396761410199E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.433701823327586},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Benin",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BeninMeat (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":9.0330666950387703E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.9957372609814206E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.9731411722948837E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Benin",{"$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":"BeninMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":26.004310374561491},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Avocados",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.32619407509862225},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.1651273442432908E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.32403009788842635},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Benin",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BeninMeat (cattle)Mixed"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":7.1259085008289924E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.7298527243500298E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.0786350989651706E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Benin",{"$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":"BeninMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":24.82694229129531},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Barley",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12295007446024991},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.1608646052247112E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12213442151179146},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Benin",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BeninMeat (cattle)Mixed+lot"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.15556948197011214},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0325991949468002E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.1545374313006341},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Benin",{"$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":"BeninMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.7134527267339463},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Buckwheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.40672663482534599},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.6996657079873848E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.40402840320272804},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Benin",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BeninMeat (pig)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Carrots",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":5.5202074247459133E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.6640616594886451E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.4835862719579832E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Benin",{"$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":"BeninMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6046209345186038},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.38892370492528039},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.581497987367001E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.38634357825158527},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Benin",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BeninMeat (pig)Industrial"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cassava",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":6.035140583015975E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.0058507803029909E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.9951033546327609E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Benin",{"$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":"BeninMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3169385668290252},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Chickpeas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16811540793544377},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1158733235715423E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16700012737326589},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Benin",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BeninMeat (chicken)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cocoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.21127339325618455},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4023363260406544E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.20987180186311921},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Benin",{"$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":"BeninMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.6023716210893251},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Coffee",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.11667711147758411},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.7444939621010018E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.11590307347547558},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Benin",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BeninMeat (chicken)Broilers"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cotton",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},{"$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":0.59342229816018588},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.9388662839502948E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.58948552423548339},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Benin",{"$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":"BeninMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8533644622916616},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Flour",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.4170174048463825},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.767971141061633E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.41425090407511694},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Benin",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BeninMilk (cattle)Grassland"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Garlic (green)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":0.14302355600478053},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.4932506632205841E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14207473522800235},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Benin",{"$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":"BeninMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4894886513200649},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.22080829698983659},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4656246637954583E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.21934345087831938},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BhutanEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.8570761649615029},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.12285427509334461},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":1.0599752572007175},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Grapes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.10287659291571932},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.8284785472288404E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10219410779558062},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"BhutanEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.7464048828149226},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.11809540996104166},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0189162115243362},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peanuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.24840933411356617},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6488277467698908E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.24676138223810931},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BhutanEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.8911613884889418},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.12431993970502449},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":1.0726208751293973},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lemons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":7.5275555791989746E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.9964477174845175E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.4776176435790695E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"BhutanMeat (cattle)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":83.770567986079769},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":38.869543545541013},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":24.377235283949211},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lentils",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.25844607488583149},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.7154470496696843E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.25673153909621477},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BhutanMeat (cattle)Grassland"},{"$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":83.951875900353272},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":38.953670417763917},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":24.4299958870028},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":5.2276996709298772E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.4699083671583641E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.1930190197064588E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"BhutanMeat (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":83.72378001565788},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":38.847833927265256},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":24.36361998455644},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.15807866716317848},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0492540206717487E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.15702997051516046},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BhutanMeat (cattle)Grass+lot"},{"$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":0},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":7.0257185405857112E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.6633512029855504E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.9791098006737995E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"BhutanMeat (cattle)Mixed+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":0},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Millet",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.3514072657864471E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.8795285092197773E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.3026379011644174E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BhutanMeat (pig)Aggregated"},{"$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":9.4397265044893519},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3504918996178485},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.3788110791313168},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mushrooms",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},{"$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":6.7748000212790774E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.4968029457360655E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.7298558792211624E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BhutanMeat (pig)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":8.8549375063747124},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.2048794390873034},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2314442516064275},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Oats",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.11040414849491829},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.3281233189772914E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10967172543915969},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BhutanMeat (pig)Intermediate"},{"$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":11.121946276156667},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.76936462276301},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.8027304615914801},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Onions, dry",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":4.5165333475193851E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.9978686304907103E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.4865705861474418E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bhutan",{"$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":"BhutanMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.177303658958325},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.7821481757321365E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.8291890037319362E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.723887250842248E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BhutanMeat (chicken)Aggregated"},{"$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":4.4208230091524454},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19009538939355514},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":1.6401253363955572},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peas (dry)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.15055111158397949},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.9928954349690351E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14955235287158139},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"BhutanMeat (chicken)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.2340834868693555},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.22506558993538228},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.9418449736285308},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.2709920008511631},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.7987211782944262E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.2691942351688465},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BhutanMeat (chicken)Layers"},{"$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":6.506383813968653},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.27977450400065207},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.4138683949823703},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Pineapples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.18066133390077538},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1991474521962841E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17946282344589765},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"BhutanMeat (chicken)Broilers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.3005771915534652},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.18492481923679899},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5955141380663356},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.0183703861326499E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.330965144989678E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.9850784290527132E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BhutanMilk (cattle)Aggregated"},{"$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":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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Quinoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.28855629720262732},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.9153049583690647E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28664200967053094},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"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":"BhutanMilk (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":4.7445035196180045},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.2726171858970243},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4138620488461653},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rapeseeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.5244197053508618},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.480858576514213E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.52094069583600844},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bhutan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BhutanMilk (cattle)Mixed"},{"$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":4.3859500858224321},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1008700911089453},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":1.3070131255750848},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.85913225014306349},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.85913225014306349},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 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},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Regional average for Emission Factor"}]
[null,"Bolivia (Plurinational State of)",{"$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":"Bolivia (Plurinational State of)EggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2713474682288362},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.84266991071289821},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rye",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10287659291571932},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.8284785472288404E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10219410779558062},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bolivia (Plurinational State of)EggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sesame seed",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.22080829698983659},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4656246637954583E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.21934345087831938},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bolivia (Plurinational State of)",{"$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":"Bolivia (Plurinational State of)EggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2614585964211535},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.83900113927224795},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sorghum",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28537949000000001},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.8942187625523017E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.283486277462554},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Crop Emission Factor capped to a bibliography MAX"}]
[null,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bolivia (Plurinational State of)Meat (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Soybeans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":2.1761190814385337E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4444084939702395E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.1616826693195163E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bolivia (Plurinational State of)",{"$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":"Bolivia (Plurinational State of)Meat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":15.376157101000828},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sugar cane",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13224596877392655},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.7778836286895559E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13136864669969658},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bolivia (Plurinational State of)Meat (cattle)Mixed"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sunflower seeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.35379511222235177},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.348330427217723E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.35144802924821622},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bolivia (Plurinational State of)",{"$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":"Bolivia (Plurinational State of)Meat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":14.307832943740836},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sweet potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.2231357935615658E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.8031247294507818E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.1951194367038681E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bolivia (Plurinational State of)Meat (cattle)Mixed+lot"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.11542251888105094},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.6612198334762591E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.11465680386821239},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bolivia (Plurinational State of)",{"$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":"Bolivia (Plurinational State of)Meat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2986788244491918},"Direct livestock Emission Factor calculation",null,null,"Bahamas",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Wheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BahamasWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12796844484638256},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.4939611197236788E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12711949994084418},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bolivia (Plurinational State of)Meat (pig)Backyard"},{"$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":6.3193850335069452},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5735268733432293},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Almonds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":1.384652010478912},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.065136159701067E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.3640006488819012},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bolivia (Plurinational State of)",{"$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":"Bolivia (Plurinational State of)Meat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.27939677457124},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28647972630598179},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.2726955028297934E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28220703080315196},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bolivia (Plurinational State of)Meat (pig)Industrial"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Avocados",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":1.0345101227716007},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5429178204663141E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0190809445669375},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bolivia (Plurinational State of)",{"$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":"Bolivia (Plurinational State of)Meat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.86436183340550421},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.22599504530617184},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.3705980740506374E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.22262444723212119},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bolivia (Plurinational State of)Meat (chicken)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Barley",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.38993073858314181},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.8156133232961068E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.38411512525984565},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bolivia (Plurinational State of)",{"$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":"Bolivia (Plurinational State of)Meat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.704637465147816},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.49338175086030195},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.3585311437624219E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.4860232197165395},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bolivia (Plurinational State of)Meat (chicken)Broilers"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Buckwheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":1.289915584151657},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.9238417274764656E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2706771668768921},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bolivia (Plurinational State of)",{"$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":"Bolivia (Plurinational State of)Milk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0295585383740631},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Carrots",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17507094385365549},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.6110916961737621E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17245985215748172},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bolivia (Plurinational State of)Milk (cattle)Grassland"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":1.2334543771507549},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.8396327859406057E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2150580492913488},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bolivia (Plurinational State of)",{"$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":"Bolivia (Plurinational State of)Milk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.95140533008401484},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Cassava",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.19140182186301452},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.8546582128260553E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.18854716365018845},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bosnia and Herzegovina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bosnia and HerzegovinaEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Chickpeas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.53317060173613273},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.9519610747110052E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.52521864066142165},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bosnia and Herzegovina",{"$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":"Bosnia and HerzegovinaEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.0154536327654862},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.7477332977559954},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Cocoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.67004424874899071},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.9933600371741281E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.6600508887118165},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[null,"Bosnia and Herzegovina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bosnia and HerzegovinaMeat (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Cotton",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},{"$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":1.882012646426797},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.806923573386795E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.8539434106929289},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,"Bosnia and Herzegovina",{"$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":"Bosnia and HerzegovinaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2465283094993855},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Lemons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.23873310525498478},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.5605795856914943E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.23517252566929328},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bosnia and Herzegovina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bosnia and HerzegovinaMeat (pig)Intermediate"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Lentils",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.81965032804211457},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2224656577540799E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.80742567146457367},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,"Bosnia and Herzegovina",{"$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":"Bosnia and HerzegovinaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.95929115868115078},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.50133952103546808},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.477217129952138E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.49386230390551589},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[null,"Bosnia and Herzegovina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bosnia and HerzegovinaMeat (chicken)Layers"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Millet",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.23314663918323569},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.4772603617825065E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.22966937882145316},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bosnia and Herzegovina",{"$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":"Bosnia and HerzegovinaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.91873989273532053},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Mushrooms",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.21485979472948635},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.2045216271223455E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.21165527310236398},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bosnia and Herzegovina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bosnia and HerzegovinaMilk (cattle)Aggregated"},{"$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":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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Oats",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.35014188770731108},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.222183392347526E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.34491970431496355},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Bosnia and Herzegovina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"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":"Bosnia and HerzegovinaMilk (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5022874960857708},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.71959571062508432},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.44768167383355967},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Onions, dry",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14323986315299089},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.1363477514148967E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14110351540157598},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Bosnia and Herzegovina",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Bosnia and HerzegovinaMilk (cattle)Mixed"},{"$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":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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.2785219561308156},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.1540095166400764E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.27436794661417552},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Botswana",{"$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":"BotswanaEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.668757866893702},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3611091686175634},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Peas (dry)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.47746621050996957},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.1211591713829887E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.47034505133858656},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Botswana",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BotswanaEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":0.85943917891794541},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2818086508489382E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.84662109240945593},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Botswana",{"$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":"BotswanaEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.8976470414149436},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4460270523649441},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Pineapples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.57295945261196346},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.5453910056595851E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.56441406160630381},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Botswana",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BotswanaMeat (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":0.15915540350332322},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.3737197237943299E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.15678168377952886},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Botswana",{"$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":"BotswanaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":26.004310374561491},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Quinoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.91514357014410841},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.3648888411817396E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.90149468173229097},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Botswana",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BotswanaMeat (cattle)Mixed"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Rapeseeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":1.6631739666097272},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.4805371113650741E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6383685954960763},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Botswana",{"$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":"BotswanaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":24.82694229129531},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.66},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.66},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Botswana",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BotswanaMeat (cattle)Mixed+lot"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Rye",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.32626857718181257},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.8661254337783759E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.32140245174803417},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Botswana",{"$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":"BotswanaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.7134527267339463},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Sesame seed",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.70028377541462217},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0444366784695052E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.6898394086299271},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Botswana",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BotswanaMeat (pig)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Sorghum",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.28537949000000001},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.2562860529282761E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28112320394707169},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Crop Emission Factor capped to a bibliography MAX"}]
[null,"Botswana",{"$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":"BotswanaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6046209345186038},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Soybeans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.9014656916253386E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.029317564763604E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.7985339351489774E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Botswana",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BotswanaMeat (pig)Industrial"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Sugar cane",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":0.41941225741454891},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.2553147798417768E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.41315694263470709},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Botswana",{"$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":"BotswanaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3169385668290252},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Sunflower seeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1220455946984285},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6734724052750023E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1053108706456782},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Botswana",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BotswanaMeat (chicken)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Sweet potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":0.13393488912873791},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.9975689233979015E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13193732020533999},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Botswana",{"$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":"BotswanaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.6023716210893251},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.36605742805764335},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.4595553647269583E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.36059787269291638},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Botswana",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BotswanaMeat (chicken)Broilers"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Wheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BangladeshWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.40584627893347414},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.0529852956755399E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.39979329363779859},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Botswana",{"$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":"BotswanaMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8533644622916616},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Almonds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.4112859890782723},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.422728207801587E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.40786326087047065},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Botswana",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BotswanaMilk (cattle)Grassland"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":8.509365291274601E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.0815066368308717E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.438550224906291E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Botswana",{"$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":"BotswanaMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4894886513200649},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Avocados",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.30728263551824941},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.5572107299667028E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.30472542478828268},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Brazil",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BrazilEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":6.7127765700054534E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.5863827917694174E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.6569127420877575E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Brazil",{"$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":"BrazilEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3945573379041925},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.88838077236245538},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Barley",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.11582191646457093},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.6387173667975728E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.11485804472789116},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Brazil",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BrazilEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.14655018001639589},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2195928096764277E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14533058720671943},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Brazil",{"$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":"BrazilMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":13.311744162216891},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Buckwheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.38314623662865183},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.1885487632605284E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.37995768786539125},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Brazil",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BrazilMeat (cattle)Grassland"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Carrots",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":5.2001676780011434E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.3275873891744198E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.1568918041093981E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Brazil",{"$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":"BrazilMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":12.557009968800195},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.3663754500409897},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.0489820241910688E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.36332646801679858},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Brazil",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BrazilMeat (cattle)Grass+lot"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cassava",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":5.6852470527295799E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.731271176853801E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.6379343409610407E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Brazil",{"$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":"BrazilMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":12.031216807141845},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Chickpeas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.15836874292094394},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.3179470685213009E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.15705079585242263},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Brazil",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BrazilMeat (pig)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cocoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.19902459931258926},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6562857189476646E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.19736831359364157},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Brazil",{"$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":"BrazilMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.5924850284437502},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Coffee",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10991263501229692},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.1469460725732078E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10899794040503959},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Brazil",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BrazilMeat (pig)Intermediate"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cotton",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},{"$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":0.55901802538512302},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.6521564433625023E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.55436586894176043},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Brazil",{"$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":"BrazilMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1749823285447436},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Flour",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.40959830162639005},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.4086832473582324E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.40618961837903172},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Brazil",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BrazilMeat (chicken)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Garlic (green)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":0.13473161711184783},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1212385508315545E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13361037856101626},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Brazil",{"$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":"BrazilMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.7007568958778292},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Ginger",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.20800670712004579},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.7310349556697684E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.20627567216437598},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Brazil",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BrazilMeat (chicken)Layers"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Grapes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":9.6912215817294048E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.0650492252796015E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.6105710894766078E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Brazil",{"$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":"BrazilMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.8415544976143966},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peanuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.23400754551005148},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.9474143251284892E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.23206013118492297},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Brazil",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BrazilMilk (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lemons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":7.0911377427288327E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.9012555306923911E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.0321251874219073E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Brazil",{"$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":"BrazilMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.157669492125265},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.24346239583368995},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.026097732204388E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.24143629810148551},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Brazil",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"BrazilMilk (cattle)Mixed"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":4.9246183643756894E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.0982748345454997E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.8836356160302338E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Burkina Faso",{"$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":"Burkina FasoEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.668757866893702},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3611091686175634},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.1489138925973055},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2392636614454024E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14767462893586009},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Burkina Faso",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Burkina FasoMeat (chicken)Broilers"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sesame seed",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BarbadosSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.20800670712004579},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.7310349556697684E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.20627567216437598},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Burundi",{"$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":"BurundiMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":10.242259044769115},"Direct livestock Emission Factor calculation",null,null,"Belize",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BelizeBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.7985215267440414E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.5372945967673196E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.7031485807763672E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Cabo Verde",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Cabo VerdeMeat (chicken)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Belize",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BelizeOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":9.6110933211583427E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1754000817534509E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.4935533129829969E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Cambodia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"CambodiaMeat (chicken)Broilers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.1219505733194497},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.22024387465273632},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.9002436627015158},"Direct livestock Emission Factor calculation",null,null,"Benin",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Barley",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BeninBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.2647314154985839E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.539247911911919E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.6108066243073913E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Central African Republic",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Central African RepublicEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Benin",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peas (dry)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BeninPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":7.671099692447246E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.0072423411166362E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.8703754583355814E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Central African Republic",{"$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":"Central African RepublicMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3169385668290252},"Direct livestock Emission Factor calculation",null,null,"Benin",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Soybeans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BeninSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1088079151803543E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1573951639996176E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.9306839878039229E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Chad",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ChadMeat (pig)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bhutan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Cassava",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BhutanCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":8.6448362105032109E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.6878163688740719E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.3760503015445187E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Chile",{"$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":"ChileMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.704637465147816},"Direct livestock Emission Factor calculation",null,null,"Bhutan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Rapeseeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BhutanRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.75118754831937851},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.3355609514199002E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.72783156758626022},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"China",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ChinaMilk (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bolivia (Plurinational State of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Chickpeas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Bolivia (Plurinational State of)Chickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":9.867746725190342E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.8901249481534477E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.478734230374998E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Comoros",{"$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":"ComorosMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":18.854839548103534},"Direct livestock Emission Factor calculation",null,null,"Bolivia (Plurinational State of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Bolivia (Plurinational State of)Rice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.66},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.66},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Congo",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"CongoMeat (pig)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bosnia and Herzegovina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Garlic (green)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Bosnia and HerzegovinaGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":0.56999999999999995},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.229386141844098E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.56477060342128016},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Crop Emission Factor capped to a bibliography MAX"}]
[null,"Congo",{"$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":"CongoMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8533644622916616},"Direct livestock Emission Factor calculation",null,null,"Bosnia and Herzegovina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Bosnia and HerzegovinaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.72522826662011852},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.6535063984857279E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.71857474694247969},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Costa Rica",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Costa RicaMeat (chicken)Broilers"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Bosnia and Herzegovina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Sugar cane",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Bosnia and HerzegovinaSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":0.60671383699364334},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.5662121600695046E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.60114761372445646},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Democratic Republic of the Congo",{"$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":"Democratic Republic of the CongoEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.8976470414149436},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4460270523649441},"Direct livestock Emission Factor calculation",null,null,"Botswana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lentils",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BotswanaLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.20500745029214132},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.8142592530421408E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.20319317641611315},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,"Dominica",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"DominicaMeat (cattle)Grassland"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Botswana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sunflower seeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BotswanaSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.28064126690477592},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.4835976182421534E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.27815764926865971},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,"Dominican Republic",{"$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":"Dominican RepublicMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.27939677457124},"Direct livestock Emission Factor calculation",null,null,"Brazil",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BrazilLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.119104324661946E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.3589806603595017E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.0455145180583513E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Ecuador",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"EcuadorMeat (chicken)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Brazil",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BrazilTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.11302483936730508},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6247912804534688E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.11140004808685161},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Ecuador",{"$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":"EcuadorMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0295585383740631},"Direct livestock Emission Factor calculation",null,null,"Burkina Faso",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Burkina FasoApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17790026083909952},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.2251623050755606E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17067509561735905},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"El Salvador",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"El SalvadorMeat (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Burkina Faso",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oats",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Burkina FasoOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.21743365213667717},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.8307539284256838E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.20860289464343884},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Equatorial Guinea",{"$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":"Equatorial GuineaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":10.574547969175828},"Direct livestock Emission Factor calculation",null,null,"Burundi",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Avocados",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BurundiAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14399022613835319},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.5809455725046196E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13740929221531303},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Eritrea",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"EritreaMeat (pig)Industrial"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Burundi",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Onions, dry",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"BurundiOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":1.9937108234541211E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.1120784850063968E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.9025901999043342E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Eswatini",{"$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":"EswatiniMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3811838944302683},"Direct livestock Emission Factor calculation",null,null,"Cabo Verde",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Cabo VerdeBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.2489874060795467E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4092764613231777E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.8397109447563695E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Ethiopia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"EthiopiaMeat (pig)Industrial"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Cabo Verde",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lentils",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Cabo VerdeLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.2266414544790139},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.111235568287157E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17552909879614237},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Fiji",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"FijiMeat (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":76.499372992080708},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":35.495709068325446},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":22.261317540695483},"Direct livestock Emission Factor calculation",null,null,"Cabo Verde",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Cabo VerdePotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.4008049413400759E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.9247292588100135E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.408332015459075E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Gabon",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"GabonMeat (cattle)Grass+lot"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Cambodia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"CambodiaCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.57343328413797001},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.8741152889359111E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.55469213124861094},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Gambia",{"$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":"GambiaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3169385668290252},"Direct livestock Emission Factor calculation",null,null,"Cambodia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Quinoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"CambodiaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.42545050113462285},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.3904726337266434E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.41154577479735643},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Ghana",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"GhanaMilk (cattle)Mixed"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Cameroon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cotton",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"CameroonCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},{"$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":0.2769397240303742},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.0339354114876206E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.25660037566540367},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Grenada",{"$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":"GrenadaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.2986788244491918},"Direct livestock Emission Factor calculation",null,null,"Cameroon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"CameroonMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.3772526908725475E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.4180943308126898E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.8354434109600126E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Guatemala",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"GuatemalaMeat (cattle)Mixed"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Cameroon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sorghum",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"CameroonSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.15300968544031948},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1237528982426317E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14177215963472617},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Guinea",{"$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":"GuineaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":12.031216807141845},"Direct livestock Emission Factor calculation",null,null,"Central African Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Flour",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Central African RepublicFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.3599085368307009},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.3589852097529698E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.33631868473317122},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Guinea-Bissau",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Guinea-BissauMeat (chicken)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Central African Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Soybeans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Central African RepublicSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":1.2049757846870261E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.897895613196527E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.125996828555061E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Haiti",{"$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":"HaitiEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2713474682288362},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.84266991071289821},"Direct livestock Emission Factor calculation",null,null,"Chad",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lemons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ChadLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.5151244355004035E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.3084105745630173E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.1842837073541974E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"HondurasEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Chad",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sugar cane",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ChadSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":9.6891077881502391E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.8122979887920961E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.1078785678111965E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"India",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"IndiaMeat (cattle)Grass+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":0},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0},"Direct livestock Emission Factor calculation",null,null,"Chile",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peanuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ChilePeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.79816151497911858},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.774206279127769E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.79638730869999086},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"India",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"IndiaMeat (chicken)Aggregated"},{"$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":4.4208230091524454},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.19009538939355514},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":1.6401253363955572},"Direct livestock Emission Factor calculation",null,null,"Chile",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Millet",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ChileMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.23620732213734347},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.2505728007068149E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.23568226485727278},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Indonesia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"IndonesiaMeat (chicken)Layers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":8.7437666604081539},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.3759819663975506},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":3.2439374310114251},"Direct livestock Emission Factor calculation",null,null,"China",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6649668566450142},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0119195913538019E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6548476606671014},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Kazakhstan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"KazakhstanEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"China",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Mushrooms",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ChinaMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},{"$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":0.25835692603112292},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5702200555490031E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.25678670596558473},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Kenya",{"$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":"KenyaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":18.854839548103534},"Direct livestock Emission Factor calculation",null,null,"Colombia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ColombiaApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.1675760601309684},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.6267229747098099E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16671338861135068},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Kiribati",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"KiribatiMeat (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Colombia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lentils",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ColombiaLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.47945372759693733},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.4682012955419734E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.47698552852691994},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Kiribati",{"$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":"KiribatiMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.4011610645515957},"Direct livestock Emission Factor calculation",null,null,"Colombia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ColombiaPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.50272818039290512},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.5880168924129429E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.50014016583405196},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Kyrgyzstan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"KyrgyzstanMeat (chicken)Broilers"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Comoros",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Buckwheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ComorosBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":7.7405287720709412E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5185254303903238E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.2220401973048685E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Lebanon",{"$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":"LebanonEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.8325334269918709},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.0508699014139842},"Direct livestock Emission Factor calculation",null,null,"Comoros",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Pineapples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ComorosPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.4382165644503845E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.7450421567392515E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.7637287194433126E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Lesotho",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"LesothoMeat (cattle)Grassland"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Congo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Carrots",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"CongoCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":4.3787999091525316E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.7382269138916935E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.0049772177633627E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,"Liberia",{"$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":"LiberiaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6046209345186038},"Direct livestock Emission Factor calculation",null,null,"Congo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"CongoPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.9807271901386658E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.398388103537904E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.6408883797848755E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,"Madagascar",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MadagascarEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Congo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sweet potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"CongoSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":3.3499224225324031E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.859863528631418E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.0639360696692614E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,"Malawi",{"$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":"MalawiMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3084556024403708},"Direct livestock Emission Factor calculation",null,null,"Costa Rica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Costa RicaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.1199923423444389E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5027751649459653E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.1049645906949788E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Malaysia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MalaysiaMeat (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Costa Rica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sesame seed",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Costa RicaSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.3132796630631553},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.6122107257622468E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.31261844199057903},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Maldives",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MaldivesMeat (pig)Backyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":8.8549375063747124},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.2048794390873034},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2314442516064275},"Direct livestock Emission Factor calculation",null,null,"Cote d'Ivoire",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Grapes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Cote d'IvoireGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.262795758100507E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.0418182949525801E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.0586138342116154E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Mali",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MaliMeat (pig)Industrial"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Cote d'Ivoire",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sorghum",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Cote d'IvoireSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.10398503554271533},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.5072583058651328E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.7477774228532779E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Marshall Islands",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Marshall IslandsMilk (cattle)Grassland"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.3393329758696741},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":1.1205404954415741},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.69712122680916289},"Direct livestock Emission Factor calculation",null,null,"Democratic Republic of the Congo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peanuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Democratic Republic of the CongoPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.8727239213652488E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.8414392824468597E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.8885799931205623E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Mauritania",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MauritaniaMeat (cattle)Mixed"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Democratic Republic of the Congo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mushrooms",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Democratic Republic of the CongoMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},{"$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":1.0561974330996133E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.68402889521278E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.8779454357833512E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Mauritius",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":26.004310374561491},"Direct livestock Emission Factor calculation",null,null,"Democratic Republic of the Congo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Democratic Republic of the CongoTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.7994474786141561E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.5727899696217742E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.3421684816519786E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Mexico",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MexicoMeat (pig)Intermediate"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Dominica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"DominicaMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":2.0163760374766523E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0566303268103674E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.0058097342085485E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Micronesia (Federated States of)",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Micronesia (Federated States of)Meat (chicken)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.7446873499002979},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.2470215560457128},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1312790068130103},"Direct livestock Emission Factor calculation",null,null,"Dominican Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peanuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Dominican RepublicPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.31483613620573292},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.2206764131706869E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.31261545498914717},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Mongolia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MongoliaMilk (cattle)Mixed"},{"$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":2.442011039773472},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1697232880514932},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.72771928985249468},"Direct livestock Emission Factor calculation",null,null,"Dominican Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Dominican RepublicTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.14628749763094662},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0318294445035515E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14525566595455325},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Mozambique",{"$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":"MozambiqueEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.8976470414149436},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4460270523649441},"Direct livestock Emission Factor calculation",null,null,"Ecuador",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EcuadorApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14744461811500664},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.3590140318339577E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14608560611539184},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Myanmar",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"MyanmarMeat (cattle)Grass+lot"},{"$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":0},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Ecuador",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Millet",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EcuadorMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.11999528770302251},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1060103910687455E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.11888927896584066},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Myanmar",{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.177303658958325},"Direct livestock Emission Factor calculation",null,null,"Ecuador",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peas (dry)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EcuadorPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.2457410301916777},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.2650233863899293E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.24347601019231968},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Namibia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"NamibiaMeat (chicken)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Egypt",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EgyptBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.45168036520384169},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.012195895252345E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.44966816883056837},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Nicaragua",{"$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":"NicaraguaEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2713474682288362},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.84266991071289821},"Direct livestock Emission Factor calculation",null,null,"Egypt",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EgyptPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.7867980555163695},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.5051154304395695E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.78329293925324828},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Niger",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"NigerMeat (cattle)Grass+lot"},{"$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},"Direct livestock Emission Factor calculation",null,null,"El Salvador",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Chickpeas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"El SalvadorChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.20387972353517733},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.7871841594642472E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.20009253937571311},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Nigeria",{"$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":"NigeriaEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.668757866893702},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.3611091686175634},"Direct livestock Emission Factor calculation",null,null,"El Salvador",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"El SalvadorMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.5203466552014426E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5827038278358051E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.3620762724178635E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Pakistan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"PakistanMeat (chicken)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Equatorial Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Chickpeas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Equatorial GuineaChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.13335436086964531},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13335436086964531},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,"Pakistan",{"$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":"PakistanMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1591913166295518},"Direct livestock Emission Factor calculation",null,null,"Equatorial Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cocoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Equatorial GuineaCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16758861470483782},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],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},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16758861470483782},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,"Papua New Guinea",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Papua New GuineaEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Equatorial Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rye",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Equatorial GuineaRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":8.1604907397842652E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.1604907397842652E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,"Paraguay",{"$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":"ParaguayMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":12.031216807141845},"Direct livestock Emission Factor calculation",null,null,"Eritrea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Ginger",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EritreaGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.48084373577120065},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.2258825978454141E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.47261785317335514},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Peru",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"PeruMilk (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Eritrea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Wheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EritreaWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.27867080141285488},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.7672728692058648E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.27390352854364897},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Philippines",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"PhilippinesMeat (chicken)Layers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":8.7437666604081539},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.3759819663975506},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":3.2439374310114251},"Direct livestock Emission Factor calculation",null,null,"Eswatini",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Ginger",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EswatiniGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17515199636610129},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.5019888162985559E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12013210820311575},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,"Rwanda",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"RwandaEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Eswatini",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EswatiniLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":4.1467736776572492E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.302611610004298E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.8441620676529514E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,"Saint Kitts and Nevis",{"$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":"Saint Kitts and NevisEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.2614585964211535},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.83900113927224795},"Direct livestock Emission Factor calculation",null,null,"Eswatini",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sweet potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EswatiniSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.3499224225324031E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0522994933906564E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.2976229291417471E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,"Saint Lucia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Saint LuciaMeat (pig)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Ethiopia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EthiopiaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.31029342850996622},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.4765199903699614E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.30281690949853585},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Samoa",{"$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":"SamoaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1310674277048265},"Direct livestock Emission Factor calculation",null,null,"Ethiopia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"EthiopiaTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.22656345573743561},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.4590463421748921E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.221104410110042},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Sao Tome and Principe",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Sao Tome and PrincipeMeat (chicken)Layers"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Fiji",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"FijiLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":2.8191691909183653E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.0593690868883769E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.7785768987467291E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Seychelles",{"$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":"SeychellesEggsLayers"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":3.8976470414149436},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4460270523649441},"Direct livestock Emission Factor calculation",null,null,"Gabon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Avocados",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GabonAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28877405058332267},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.3476810623274478E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28442648537574144},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Sierra Leone",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Sierra LeoneMeat (cattle)Grassland"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Gabon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GabonMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":6.2197487817946435E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.3642361342437361E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.1261089157852021E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Sierra Leone",{"$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":"Sierra LeoneMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8463847147876973},"Direct livestock Emission Factor calculation",null,null,"Gabon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GabonOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.7746859772433036E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.170529516780467E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.6576361447315014E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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)"},"Industrial",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Solomon IslandsMeat (pig)Industrial"},{"$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":7.5366087327189533},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8766155744470194},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":1.8992254006451763},"Direct livestock Emission Factor calculation",null,null,"Gambia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Barley",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GambiaBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.14310126006218654},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5525583090379713E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12757567697180683},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Somalia",{"$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":"SomaliaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4895355482989656},"Direct livestock Emission Factor calculation",null,null,"Gambia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GambiaMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.1772148606963746E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.8717617659312652E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.2900386841032491E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"South SudanMeat (cattle)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Ghana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GhanaCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.12716574006665357},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.9286579667676663E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12023708209988591},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Sri Lanka",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South 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":"Sri LankaMeat (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":83.72378001565788},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":38.847833927265256},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":24.36361998455644},"Direct livestock Emission Factor calculation",null,null,"Ghana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peas (dry)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GhanaPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.9225447767736859E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.6820611484261931E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.6543386619310664E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Sri Lanka",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"Sri LankaMeat (pig)Intermediate"},{"$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":11.121946276156667},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.76936462276301},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":2.8027304615914801},"Direct livestock Emission Factor calculation",null,null,"Ghana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rapeseeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GhanaRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.17146864305761672},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.3425130003512383E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16212613005726548},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Sudan",{"$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":"SudanMilk (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.8533644622916616},"Direct livestock Emission Factor calculation",null,null,"Grenada",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Flour",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GrenadaFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.3069468341340667},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1897953923246446E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.29504888021082032},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Tajikistan",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"TajikistanMilk (cattle)Mixed"},{"$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":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},"Direct livestock Emission Factor calculation",null,null,"Grenada",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GrenadaRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.85913225014306349},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.85913225014306349},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 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},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Regional average for Emission Factor"}]
[null,"Timor-Leste",{"$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":"Timor-LesteMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.6787553653197469},"Direct livestock Emission Factor calculation",null,null,"Guatemala",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lemons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GuatemalaLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.32419365948E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1648293656519387E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.2077108185590986E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Togo",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"TogoMeat (cattle)Grass+lot"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Guatemala",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GuatemalaRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.66},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.66},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 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},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Capped to CLUNE's MIN/MAX"}]
[null,"Tonga",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"TongaMeat (chicken)Aggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":5.7446873499002979},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.2470215560457128},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":2.1312790068130103},"Direct livestock Emission Factor calculation",null,null,"Guinea-Bissau",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cassava",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Guinea-BissauCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.0586399546001871E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.9436870406996923E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.7642674872110871E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Tonga",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Milk (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"TongaMilk (cattle)Grassland"},{"$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":2.3393329758696741},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.1205404954415741},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":0.69712122680916289},"Direct livestock Emission Factor calculation",null,null,"Guinea-Bissau",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Flour",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Guinea-BissauFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Flour"},{"$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":0.37510790693542106},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.7206165042017356E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.34790139407965875},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Based proportionally on Wheat EF"}]
[null,"Turkey",{"$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":"TurkeyEggsAggregated"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":2.0385450289007188},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.75630020572216661},"Direct livestock Emission Factor calculation",null,null,"Guinea-Bissau",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Guinea-BissauRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2514823863636364},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2514823863636364},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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},"Direct livestock Emission Factor calculation",null,null,"Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GuineaLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":3.4942448193885776E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.738676965523902E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.0203772506365304E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Uganda",{"$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":"UgandaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4895355482989656},"Direct livestock Emission Factor calculation",null,null,"Guyana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Almonds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GuyanaAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.39023089042800779},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0684709193737502E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.37954614183869928},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Ukraine",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"UkraineMeat (chicken)Backyard"},{"$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},"Direct livestock Emission Factor calculation",null,null,"Guyana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GuyanaLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":4.6725107598613487E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2793558864335555E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.5445746995069265E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Ukraine",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"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":"UkraineMilk (cattle)Mixed"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":1.4635216581385981},{"$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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0.43612945412530224},"Direct livestock Emission Factor calculation",null,null,"Guyana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Oats",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"GuyanaOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.8679075740415761E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.7018804857727014E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.5977185292544634E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Uruguay",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"UruguayEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"Haiti",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Avocados",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"HaitiAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.12192494673289236},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5796981460448483E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10612792930989429},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Uzbekistan",{"$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":"UzbekistanMeat (cattle)Mixed+lot"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]]),Modelled_Crop_Emmissions2[#Headers],0))","v":0},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":0},"Direct livestock Emission Factor calculation",null,null,"Haiti",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Onions, dry",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"HaitiOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6881915701477405E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.1872743560620981E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4694636365985364E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Vanuatu",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (cattle)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"VanuatuMeat (cattle)Grassland"},{"$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":76.499372992080708},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"CH4\"),Modelled_Crop_Emmissions2[#Headers],0))","v":35.495709068325446},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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":22.261317540695483},"Direct livestock Emission Factor calculation",null,null,"Haiti",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"HaitiTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":4.3142673459331142E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.5897011321586944E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.7552959601962595E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Venezuela (Bolivarian Republic of)",{"$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":"Venezuela (Bolivarian Republic of)Meat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":1.704637465147816},"Direct livestock Emission Factor calculation",null,null,"Honduras",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Onions, dry",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"HondurasOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.3236595537432748E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.9449760509425964E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.224209688335124E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Yemen",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Eggs (hens)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"YemenEggsBackyard"},{"$f":"INDEX(Modelled_Crop_Emmissions2[#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},"Direct livestock Emission Factor calculation",null,null,"India",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Carrots",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"IndiaCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":0.17870387291970788},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.488882182628019E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.17721499073707986},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,"Zambia",{"$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":"ZambiaMeat (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},{"$f":"INDEX(Modelled_Crop_Emmissions2[#All], MATCH(AnimalEF[[#This Row],[Country]],Modelled_Crop_Emmissions2[[#All],[Country]],0), MATCH(CONCATENATE(AnimalEF[[#This Row],[Animal Protein]],\" \", AnimalEF[[#This Row],[Farm system]], \" \", \"N2O\"),Modelled_Crop_Emmissions2[#Headers],0))","v":18.854839548103534},"Direct livestock Emission Factor calculation",null,null,"India",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"IndiaOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28430161600862625},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.3686761996354858E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.28193293980899076},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Zambia",{"$f":"VLOOKUP(AnimalEF[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(AnimalEF[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", AnimalEF[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(AnimalEF[[#This Row],[Country]],AnimalEF[[#This Row],[Name Discrepancies]],AnimalEF[[#This Row],[Farm system]])","v":"ZambiaMeat (pig)Aggregated"},{"$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},"Direct livestock Emission Factor calculation",null,null,"India",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Quinoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"IndiaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.93413388117120044},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.7827932273737375E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.9263510879438267},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,"Kiribati",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Mushrooms",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"KiribatiMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.3640837723403128E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],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},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.3640837723403128E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Kyrgyzstan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"KyrgyzstanApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":9.1256709751059012E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.9435434859633876E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.9313166265095625E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Kyrgyzstan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Millet",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"KyrgyzstanMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.4267716797016381E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5817197178374031E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.2685997079178985E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Lao People's Democratic Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Lao People's Democratic RepublicBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":5.7734041659730499E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.129314992688495E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.3604726667041996E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Lao People's Democratic Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Oats",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Lao People's Democratic RepublicOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.0972545694002285E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.9304816077144152E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.8042064086287866E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Lebanon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Buckwheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"LebanonBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.59257675742390525},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4874750487795592E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.59108932013980142},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Lebanon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Cocoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"LebanonCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.30781289344243751},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.7266614485307895E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.30704024691437493},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Lesotho",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Almonds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"LesothoAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.39994264963867648},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.736262812796144E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.30258002151071506},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Lesotho",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cocoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"LesothoCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.19353546608952046},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.7114559128588238E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.14642090696093224},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,"Marshall Islands",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Lentils",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Marshall IslandsLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.79421208142190236},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2008765906530281E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.78220330126372006},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Marshall Islands",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Peppers",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Marshall IslandsPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.83276606595694613},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2591715707818158E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.82017433530564809},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Mauritania",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Chickpeas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MauritaniaChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.23595416193633187},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.046664982658695E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.22548759545820707},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Mauritania",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rice",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MauritaniaRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5034581926514397},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5034581926514397},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":8.4903732738958418E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1010773113757665E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.3802655427582654E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Mauritius",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MauritiusMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.3526545873567472E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.2384644437854279E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":6.2702699429188935E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Mauritius",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rye",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MauritiusRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":4.1342672711369301E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.3615403523048016E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.0806518676138819E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Mexico",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Ginger",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MexicoGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.44325019684753625},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.2976281751805008E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.43595256826080975},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Mexico",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sunflower seeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MexicoSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.71020770176707504},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1692790598868756E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.69851491050879733},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Micronesia (Federated States of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Grapes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Micronesia (Federated States of)Grapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.8465347869620756E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.0826859154792527E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.8357079278072832E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Micronesia (Federated States of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Micronesia (Federated States of)Maize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":4.3739436970392877E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6636393335412911E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.3573073037038751E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Mongolia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Beans",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MongoliaBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.47806940823454314},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.1428164450488711E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.47592658391545861},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Mongolia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Maize",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MongoliaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.4857802051415519},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.1773780006141752E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.4836028191399015},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Morocco",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Avocados",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MoroccoAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.59461928808394982},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.192156069276659E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.58542712887165915},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Morocco",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MoroccoMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.12807184666423535},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.979848999536511E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12609199698774198},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Mozambique",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MozambiqueBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.4975596623765227E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.0418312563600661E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.6933762875240597E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Mozambique",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MozambiqueCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.24547151662282449},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.3891369167084068E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.20158013385379936},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Mozambique",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Onions, dry",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"MozambiqueOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.8506369672328006E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.0970622258549236E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.340930586689283E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,"Papua New Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Carrots",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Papua New GuineaCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":4.0631021951505045E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.4949787813824659E-5},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.0606073737711017E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Papua New Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Papua New GuineaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.6937292683186414E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.2681625285295149E-5},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.6914612488828207E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Paraguay",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ParaguayCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.45248726860422106},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1147936046405606E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.44133933613314885},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Paraguay",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ParaguayMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.1739635618827036E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.0138207051571418E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.9725815559536575E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.3525361194243436},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.3525361194243436},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Saint Lucia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Almonds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Saint LuciaAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.37015383228124221},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],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},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.37015383228124221},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Saint Lucia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Saint LuciaLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$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":4.4321139268114783E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.4321139268114783E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Saint Lucia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mushrooms",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Saint LuciaMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.7437663629847938E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],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},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.7437663629847938E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,"Seychelles",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Coffee",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SeychellesCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.13772846967094035},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.13772846967094035},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Seychelles",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sesame seed",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SeychellesSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.26064742647403766},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],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},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.26064742647403766},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Sierra Leone",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Buckwheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Sierra LeoneBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.14406564374856512},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.2948257214881685E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12111738653368344},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Sierra Leone",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Grapes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Sierra LeoneGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.6439665652647779E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.80448466728612E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.0635180985361662E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Sierra Leone",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sweet potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Sierra LeoneSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":1.4958665714093532E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.3827701002576414E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2575895613835892E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Solomon Islands",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Peanuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Solomon IslandsPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.76336889379386719},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6155955424208827E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.74722047379662859},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Solomon Islands",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Tomatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Solomon IslandsTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.35469665772240294},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.5068075708445061E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.34719335146105973},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Somalia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lemons",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SomaliaLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.6545623053538587E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.9511421269674604E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.1594502060190694E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Somalia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oranges",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"SomaliaOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.11263656022912837},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.7763324814620381E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.10686025240355583},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"South Africa",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"South AfricaBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12486673881731773},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.4104991604650574E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12245624003637946},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"South Africa",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Millet",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"South AfricaMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.12881813608607223},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.4867792002035154E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.1263313572774056},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"South Sudan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Barley",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"South SudanBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12675672569780946},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.1793123720889886E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.12457741332572046},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"South Sudan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peas (dry)",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"South SudanPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":0.15521231718099118},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.6685457617416186E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.15254377141924955},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,"Togo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lettuce",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TogoLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.7108854703063292E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.2642845667521306E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.1844573168527041E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Togo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sweet potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TogoSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":2.9977952525858519E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":4.2526904720580835E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.5725264503340426E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,"Tonga",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Mangoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TongaMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.4003887084684922E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],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},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.4003887084684922E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Trinidad and Tobago",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Trinidad and TobagoBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":8.7833362501999815E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1064205102405774E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.772273564488553E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Trinidad and Tobago",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Millet",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Trinidad and TobagoMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.0612841745096637E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1414330926437646E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.0498714110552006E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Region average was used for country average emission factor"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkey",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Bananas",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TurkeyBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.16892936023777494},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.3053322741943473E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.16762402812380581},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Turkey",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Cashew nuts",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TurkeyCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.92199657975806848},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":7.1243500274968041E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.91487223060506206},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Turkey",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Quinoa",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TurkeyQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.6840619785301798},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":5.2858080849169835E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.67877617109407828},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Tuvalu",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Cassava",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"TuvaluCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.6699394199177058E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],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},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.6699394199177058E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,"Uruguay",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Almonds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"UruguayAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":2.0528371910625154},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":9.4725050359938997E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.0433646860265218},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Uruguay",{"$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(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.2458007323039621},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1342100994356759E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.24466652220452645},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Uzbekistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"UzbekistanApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$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":0.40208718644604424},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.1535554183254287E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.40093363102771884},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,"Vanuatu",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Apples",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"VanuatuApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.7755367114346183E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.0168850196619194E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.755367861237999E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Vanuatu",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Oats",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"VanuatuOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$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":2.1701004250867559E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.4650816906979017E-4},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":2.145449608179777E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Avocados",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Venezuela (Bolivarian Republic of)Avocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":8.7438199093045482E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.2912561930939053},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Crop Emission Factor capped to a bibliography MAX"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Carrots",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Venezuela (Bolivarian Republic of)Carrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":0.22901102233447856},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.5403316434910784E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.22747069298166317},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Potatoes",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Venezuela (Bolivarian Republic of)Potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.20819183848588965},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4003014940827988E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.20679153907423928},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Viet Nam",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Carrots",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"Viet NamCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$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":0.18801573074882963},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.6064943870757666E-3},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.18640923636175386},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sugar cane",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ZimbabweSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.27747340443894286},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.4053403728341407E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.26342000635852852},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sunflower seeds",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ZimbabweSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},{"$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":0.74231929466230073},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":3.7596802346952472E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.70472250742513953},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":"Direct crop Emission Factor calculation"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Crops_Summary[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Wheat",{"$f":"_xlfn.CONCAT(GHG_Crops_Summary[[#This Row],[Country]],GHG_Crops_Summary[[#This Row],[Crop]])","v":"ZimbabweWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Crops_Summary[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Modelled emissions per crop with specific crops capped to CLUNE/POORE''s MAX (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.26849846828210877},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from CH4) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Emission factor Rice (Regional average for gaps) (MIN/MAX capped) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_EF[Country],0)),\nINDEX(Modelled_Crop_Emmissions[Crop EF from CH4 (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":1.3598843402089193E-2},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", INDEX(Flour[Flour (from N2O) (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Flour[Country],0)),\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", 0,\nINDEX(Modelled_Crop_Emmissions[Crop EF from N2O (tCO2e/t)],MATCH(GHG_Crops_Summary[[#This Row],[CONCAT]],Modelled_Crop_Emmissions[CONCAT],0))))","v":0.25489963034526325},{"$f":"IF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Flour\", \"Based proportionally on Wheat EF\",\nIF(GHG_Crops_Summary[[#This Row],[Crop]]=\"Rice\", INDEX(Rice_EF[Type of EF calculation],MATCH(GHG_Crops_Summary[[#This Row],[Country]],Rice_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"}]

{"sheet":"GHG UPDATE","index":45,"n_rows":5271,"n_cols":19,"rows_kept":562,"cut":true,"hidden":true,"merged":[[3,1,3,7],[3,9,3,19],[1,1,1,15]],"bounds":{"rows_first":250,"rows_last":62,"rows_between":250,"halvings":3}}
[]
[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,null,null,null,null,null,null,"comment"]
[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)"]
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[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",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"AngolaMeat (cattle)Mixed+lot"},null,null,"Angola",{"$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(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}]
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[null,"Bolivia (Plurinational State of)",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Bolivia (Plurinational State of)Milk (cattle)Mixed"},null,null,"Bangladesh",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Cassava",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BangladeshCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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}]
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[null,"Brazil",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"BrazilMeat (pig)Intermediate"},null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cotton",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BarbadosCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Brazil",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"BrazilMeat (pig)Industrial"},null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Flour",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BarbadosFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Brazil",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"BrazilMeat (chicken)Aggregated"},null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Garlic (green)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BarbadosGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Brazil",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"BrazilMeat (chicken)Backyard"},null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Ginger",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BarbadosGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Brazil",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"BrazilMeat (chicken)Layers"},null,null,"Barbados",{"$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(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,"Brazil",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"BrazilMeat (chicken)Broilers"},null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peanuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BarbadosPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Burkina Faso",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Burkina FasoMeat (pig)Industrial"},null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Quinoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BarbadosQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Burundi",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"BurundiMeat (cattle)Aggregated"},null,null,"Barbados",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Wheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BarbadosWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Cabo VerdeMeat (pig)Backyard"},null,null,"Belize",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Millet",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BelizeMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Cambodia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"CambodiaMeat (pig)Industrial"},null,null,"Benin",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Almonds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BeninAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Cameroon",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"CameroonMilk (cattle)Grassland"},null,null,"Benin",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mushrooms",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BeninMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Central African Republic",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Central African RepublicMeat (cattle)Aggregated"},null,null,"Benin",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BeninPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Chad",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ChadMeat (chicken)Broilers"},null,null,"Bhutan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Ginger",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BhutanGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Chile",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ChileMeat (pig)Intermediate"},null,null,"Bhutan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BhutanPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"China",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ChinaMeat (chicken)Aggregated"},null,null,"Bolivia (Plurinational State of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Buckwheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Bolivia (Plurinational State of)Buckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Colombia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ColombiaMilk (cattle)Mixed"},null,null,"Bolivia (Plurinational State of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Pineapples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Bolivia (Plurinational State of)Pineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"CongoMeat (cattle)Mixed"},null,null,"Bosnia and Herzegovina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Cocoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Bosnia and HerzegovinaCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Congo",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"CongoMeat (cattle)Grass+lot"},null,null,"Bosnia and Herzegovina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Coffee",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Bosnia and HerzegovinaCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Costa Rica",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Costa RicaMeat (chicken)Backyard"},null,null,"Bosnia and Herzegovina",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Sorghum",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Bosnia and HerzegovinaSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Cote d'Ivoire",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Cote d'IvoireMilk (cattle)Grassland"},null,null,"Botswana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Ginger",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BotswanaGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Dominica",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"DominicaEggsAggregated"},null,null,"Botswana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sesame seed",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BotswanaSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Dominican Republic",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Dominican RepublicMeat (cattle)Grass+lot"},null,null,"Brazil",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Grapes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BrazilGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Ecuador",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"EcuadorMeat (pig)Aggregated"},null,null,"Brazil",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sorghum",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BrazilSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Ecuador",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"EcuadorMeat (chicken)Backyard"},null,null,"Brazil",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Tomatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BrazilTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"El Salvador",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"El SalvadorMeat (pig)Industrial"},null,null,"Burkina Faso",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rapeseeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Burkina FasoRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Equatorial Guinea",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Equatorial GuineaEggsBackyard"},null,null,"Burkina Faso",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Tomatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Burkina FasoTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Eritrea",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"EritreaMeat (cattle)Mixed+lot"},null,null,"Burundi",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mangoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BurundiMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Eswatini",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"EswatiniMeat (pig)Backyard"},null,null,"Burundi",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Wheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"BurundiWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Ethiopia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"EthiopiaMeat (chicken)Broilers"},null,null,"Cabo Verde",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Millet",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Cabo VerdeMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Fiji",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"FijiEggsBackyard"},null,null,"Cabo Verde",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peas (dry)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Cabo VerdePeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Gabon",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"GabonMeat (chicken)Broilers"},null,null,"Cambodia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Grapes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"CambodiaGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Gambia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"GambiaMeat (pig)Aggregated"},null,null,"Cambodia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Peas (dry)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"CambodiaPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Ghana",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"GhanaMeat (chicken)Layers"},null,null,"Cameroon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cassava",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"CameroonCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Grenada",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"GrenadaMilk (cattle)Aggregated"},null,null,"Cameroon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"CameroonPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Guatemala",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"GuatemalaEggsLayers"},null,null,"Cameroon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rice",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"CameroonRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"GuineaMeat (cattle)Grassland"},null,null,"Central African Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cocoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Central African RepublicCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Guinea-Bissau",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Guinea-BissauMeat (chicken)Backyard"},null,null,"Central African Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Soybeans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Central African RepublicSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Guyana",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"GuyanaMeat (chicken)Broilers"},null,null,"Chad",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Garlic (green)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ChadGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Haiti",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"HaitiMilk (cattle)Grassland"},null,null,"Chad",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rye",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ChadRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"India",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"IndiaMeat (cattle)Grassland"},null,null,"Chile",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Ginger",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ChileGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"India",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"IndiaMeat (pig)Backyard"},null,null,"Chile",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ChileLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Indonesia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"IndonesiaMeat (pig)Industrial"},null,null,"Chile",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sweet potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ChileSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Jamaica",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"JamaicaMeat (pig)Industrial"},null,null,"China",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Ginger",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ChinaGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Kazakhstan",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"KazakhstanMilk (cattle)Mixed"},null,null,"China",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Sweet potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ChinaSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"KiribatiMeat (cattle)Mixed"},null,null,"Colombia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Maize",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ColombiaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Kiribati",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"KiribatiMeat (pig)Intermediate"},null,null,"Colombia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Onions, dry",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ColombiaOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Kyrgyzstan",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"KyrgyzstanMeat (chicken)Aggregated"},null,null,"Comoros",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Bananas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ComorosBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Lao People's Democratic Republic",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Lao People's Democratic RepublicMilk (cattle)Mixed"},null,null,"Comoros",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oranges",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ComorosOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Lebanon",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"LebanonMeat (chicken)Broilers"},null,null,"Comoros",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Wheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ComorosWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Liberia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"LiberiaMeat (cattle)Grass+lot"},null,null,"Congo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oranges",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"CongoOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Madagascar",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MadagascarMeat (chicken)Aggregated"},null,null,"Costa Rica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cashew nuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Costa RicaCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Malawi",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MalawiMeat (chicken)Layers"},null,null,"Costa Rica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peas (dry)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Costa RicaPeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Malaysia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MalaysiaEggsAggregated"},null,null,"Costa Rica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rapeseeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Costa RicaRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Maldives",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MaldivesMeat (cattle)Grass+lot"},null,null,"Cote d'Ivoire",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Flour",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Cote d'IvoireFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Mali",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MaliMeat (chicken)Backyard"},null,null,"Cote d'Ivoire",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sugar cane",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Cote d'IvoireSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Marshall IslandsMeat (chicken)Backyard"},null,null,"Democratic Republic of the Congo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Flour",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Democratic Republic of the CongoFlour"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Mauritania",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MauritaniaMeat (chicken)Broilers"},null,null,"Democratic Republic of the Congo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rice",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Democratic Republic of the CongoRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"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"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MauritiusEggsBackyard"},null,null,"Democratic Republic of the Congo",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sugar cane",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Democratic Republic of the CongoSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Mexico",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MexicoMeat (cattle)Mixed+lot"},null,null,"Dominica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lentils",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"DominicaLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Micronesia (Federated States of)",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Micronesia (Federated States of)Meat (pig)Backyard"},null,null,"Dominican Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Garlic (green)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Dominican RepublicGarlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Mongolia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MongoliaMeat (pig)Industrial"},null,null,"Dominican Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rye",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Dominican RepublicRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Morocco",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MoroccoMilk (cattle)Aggregated"},null,null,"Dominica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Sunflower seeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"DominicaSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Myanmar",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MyanmarMeat (cattle)Aggregated"},null,null,"Ecuador",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EcuadorLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Myanmar",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"MyanmarMeat (pig)Aggregated"},null,null,"Ecuador",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Oats",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EcuadorOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Namibia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"NamibiaMeat (pig)Intermediate"},null,null,"Egypt",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Avocados",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EgyptAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Nepal",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"NepalMilk (cattle)Aggregated"},null,null,"Egypt",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Onions, dry",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EgyptOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Nicaragua",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"NicaraguaMeat (pig)Backyard"},null,null,"Egypt",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Soybeans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EgyptSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Nigeria",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"NigeriaMeat (cattle)Grassland"},null,null,"El Salvador",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Onions, dry",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"El SalvadorOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Pakistan",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"PakistanMeat (pig)Intermediate"},null,null,"Equatorial Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Carrots",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Equatorial GuineaCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Pakistan",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"PakistanMeat (pig)Industrial"},null,null,"Equatorial Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cashew nuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Equatorial GuineaCashew nuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Panama",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"PanamaMilk (cattle)Grassland"},null,null,"Equatorial Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Quinoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Equatorial GuineaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Paraguay",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ParaguayMeat (cattle)Grassland"},null,null,"Eritrea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cotton",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EritreaCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Peru",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"PeruMeat (cattle)Grass+lot"},null,null,"Eritrea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rapeseeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EritreaRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Philippines",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"PhilippinesMeat (chicken)Layers"},null,null,"Eswatini",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Ginger",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EswatiniGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Philippines",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"PhilippinesMilk (cattle)Aggregated"},null,null,"Eswatini",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peanuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EswatiniPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Rwanda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"RwandaMilk (cattle)Mixed"},null,null,"Eswatini",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Soybeans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EswatiniSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Saint Lucia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Saint LuciaMeat (cattle)Mixed"},null,null,"Ethiopia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lemons",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EthiopiaLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"SamoaMeat (cattle)Mixed+lot"},null,null,"Ethiopia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sugar cane",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"EthiopiaSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Sao Tome and Principe",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Sao Tome and PrincipeMeat (chicken)Backyard"},null,null,"Fiji",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Lentils",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"FijiLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Senegal",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"SenegalMeat (chicken)Aggregated"},null,null,"Fiji",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Sorghum",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"FijiSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Sierra Leone",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Sierra LeoneEggsBackyard"},null,null,"Gabon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lentils",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GabonLentils"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Sierra Leone",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grass+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Sierra LeoneMeat (cattle)Grass+lot"},null,null,"Gabon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mushrooms",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GabonMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Solomon Islands",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Solomon IslandsMeat (pig)Aggregated"},null,null,"Gambia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Apples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GambiaApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"SomaliaMeat (chicken)Layers"},null,null,"Gambia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oats",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GambiaOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"South Sudan",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Eggs (hens)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Eggs"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"South SudanEggsBackyard"},null,null,"Ghana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Buckwheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GhanaBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"South Sudan",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"South SudanMilk (cattle)Aggregated"},null,null,"Ghana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GhanaLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Sri Lanka",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"South Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed+lot",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Sri LankaMeat (cattle)Mixed+lot"},null,null,"Ghana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Pineapples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GhanaPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Sudan",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"SudanMeat (chicken)Backyard"},null,null,"Grenada",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cocoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GrenadaCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Tajikistan",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Broilers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"TajikistanMeat (chicken)Broilers"},null,null,"Grenada",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GrenadaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"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"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Timor-LesteEggsLayers"},null,null,"Guatemala",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Coffee",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GuatemalaCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Togo",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"TogoMeat (cattle)Grassland"},null,null,"Guatemala",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Quinoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GuatemalaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Togo",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"TogoMeat (chicken)Layers"},null,null,"Guatemala",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Tomatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GuatemalaTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Tonga",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Layers",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"TongaMeat (chicken)Layers"},null,null,"Guinea-Bissau",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cocoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Guinea-BissauCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Trinidad and Tobago",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Latin America and Caribbean"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Trinidad and TobagoMilk (cattle)Aggregated"},null,null,"Guinea-Bissau",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Guinea-BissauPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Tuvalu",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"TuvaluMeat (cattle)Aggregated"},null,null,"Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Peanuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GuineaPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Uganda",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Backyard",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"UgandaMeat (pig)Backyard"},null,null,"Guinea",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Tomatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GuineaTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Ukraine",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"UkraineMeat (pig)Industrial"},null,null,"Guyana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lemons",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GuyanaLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (chicken)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (chicken)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"United Republic of TanzaniaMeat (chicken)Aggregated"},null,null,"Guyana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Soybeans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GuyanaSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"United Republic of Tanzania",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"United Republic of TanzaniaMilk (cattle)Grassland"},null,null,"Guyana",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Wheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"GuyanaWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Uzbekistan",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Europe and Central Asia"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Grassland",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"UzbekistanMeat (cattle)Grassland"},null,null,"Haiti",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Millet",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"HaitiMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Vanuatu",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Intermediate",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"VanuatuMeat (pig)Intermediate"},null,null,"Honduras",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Barley",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"HondurasBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Venezuela (Bolivarian Republic 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)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Venezuela (Bolivarian Republic of)Meat (chicken)Aggregated"},null,null,"Honduras",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Mushrooms",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"HondurasMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Viet Nam",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"East Asia and Pacific"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"Viet NamMilk (cattle)Mixed"},null,null,"India",{"$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(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,"Yemen",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Middle East and North Africa"},"Milk (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Milk (cattle)"},"Aggregated",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"YemenMilk (cattle)Aggregated"},null,null,"India",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Maize",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"IndiaMaize"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Zambia",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (cattle)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (cattle)"},"Mixed",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ZambiaMeat (cattle)Mixed"},null,null,"India",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"IndiaPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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",{"$f":"VLOOKUP(GHG_Update_Livestock[[#This Row],[Country]],Countries[[Country]:[Region]],2,FALSE)","v":"Africa"},"Meat (pig)",{"$f":"IF(GHG_Update_Livestock[[#This Row],[Animal Protein]]=\"Eggs (hens)\", \"Eggs\", GHG_Update_Livestock[[#This Row],[Animal Protein]])","v":"Meat (pig)"},"Industrial",{"$f":"CONCATENATE(GHG_Update_Livestock[[#This Row],[Country]],GHG_Update_Livestock[[#This Row],[Name Discrepancies]],GHG_Update_Livestock[[#This Row],[Farm system]])","v":"ZimbabweMeat (pig)Industrial"},null,null,"Indonesia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Chickpeas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"IndonesiaChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(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,"Indonesia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Pineapples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"IndonesiaPineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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,"Jamaica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Cocoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"JamaicaCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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,"Jamaica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Rye",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"JamaicaRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Jamaica",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Wheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"JamaicaWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Kazakhstan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Ginger",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"KazakhstanGinger"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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,"Kazakhstan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Sesame seed",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"KazakhstanSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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,"Kenya",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Grapes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"KenyaGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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,"Kenya",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sweet potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"KenyaSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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,"Kiribati",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Peanuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"KiribatiPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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,"Kiribati",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"KiribatiLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$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,"Kiribati",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Tomatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"KiribatiTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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,"Kyrgyzstan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Mangoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"KyrgyzstanMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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,"Lao People's Democratic Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Bananas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Lao People's Democratic RepublicBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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,"Lao People's Democratic Republic",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Millet",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Lao People's Democratic RepublicMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Lebanon",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Barley",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"LebanonBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Mauritius",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cassava",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MauritiusCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Mexico",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MexicoLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$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,"Mexico",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Soybeans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MexicoSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Micronesia (Federated States of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Garlic (green)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Micronesia (Federated States of)Garlic (green)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Micronesia (Federated States of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Sunflower seeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Micronesia (Federated States of)Sunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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,"Mongolia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MongoliaLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Morocco",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Middle East and North Africa"},"Lettuce",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MoroccoLettuce"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$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,"Mozambique",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Apples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MozambiqueApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Buckwheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MozambiqueBuckwheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Myanmar",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Carrots",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MyanmarCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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,"Myanmar",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Oats",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"MyanmarOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Namibia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Carrots",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"NamibiaCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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,"Namibia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"NamibiaPotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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,"Namibia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Quinoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"NamibiaQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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,"Nepal",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Cotton",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"NepalCotton"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Cotton"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Nicaragua",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Bananas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"NicaraguaBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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}]
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[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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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,"Saint Lucia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Almonds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Saint LuciaAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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,"Saint Lucia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Bananas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Saint LuciaBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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,"Saint Lucia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Millet",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Saint LuciaMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Samoa",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Barley",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SamoaBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Samoa",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Mushrooms",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SamoaMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},null,null,{"$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,null,null,null,null,null,null,null,null,"Sao Tome and Principe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Beans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Sao Tome and PrincipeBeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Sao Tome and Principe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Sao Tome and PrincipePeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$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,"Senegal",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Bananas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SenegalBananas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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,"Senegal",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Chickpeas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SenegalChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cocoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SeychellesCocoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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,"Seychelles",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rye",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SeychellesRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Sierra Leone",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Coffee",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Sierra LeoneCoffee"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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,"Sierra Leone",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mushrooms",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Sierra LeoneMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},null,null,{"$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,null,null,null,null,null,null,null,null,"Sierra Leone",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sunflower seeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Sierra LeoneSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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,"Solomon Islands",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Grapes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Solomon IslandsGrapes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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,"Solomon Islands",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Sweet potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Solomon IslandsSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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,"Somalia",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peanuts",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SomaliaPeanuts"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Tomatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"SomaliaTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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 Africa",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Avocados",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"South AfricaAvocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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 Africa",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mangoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"South AfricaMangoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Sri Lanka",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Barley",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Sri LankaBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Sri Lanka",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"South Asia"},"Peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Sri LankaPeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Tajikistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Chickpeas",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"TajikistanChickpeas"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Uganda",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Cassava",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"UgandaCassava"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rapeseeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"UgandaRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"United Republic of Tanzania",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Lemons",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"United Republic of TanzaniaLemons"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Uruguay",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Almonds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"UruguayAlmonds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Uzbekistan",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Europe and Central Asia"},"Barley",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"UzbekistanBarley"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Vanuatu",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Apples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"VanuatuApples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Venezuela (Bolivarian Republic of)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Avocados",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Venezuela (Bolivarian Republic of)Avocados"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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)",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Latin America and Caribbean"},"Carrots",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Venezuela (Bolivarian Republic of)Carrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Viet Nam",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"East Asia and Pacific"},"Carrots",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"Viet NamCarrots"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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}]
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[null,null,null,null,null,null,null,null,null,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Millet",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweMillet"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Mushrooms",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweMushrooms"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Mycoprotein"},null,null,{"$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,null,null,null,null,null,null,null,null,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oats",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweOats"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Onions, dry",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweOnions, dry"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Oranges",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweOranges"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peas (dry)",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabwePeas (dry)"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Peppers",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabwePeppers"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Vegetables"},null,null,{"$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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Pineapples",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabwePineapples"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabwePotatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Quinoa",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweQuinoa"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rapeseeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweRapeseeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rice",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweRice"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Rye",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweRye"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sesame seed",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweSesame seed"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sorghum",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweSorghum"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Soybeans",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweSoybeans"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sugar cane",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweSugar cane"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sunflower seeds",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweSunflower seeds"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Nuts/Seeds"},null,null,{"$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",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Sweet potatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweSweet potatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Tubers/Root Crops"},null,null,{"$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,"Zimbabwe",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Tomatoes",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweTomatoes"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Fruits"},null,null,{"$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",{"$f":"INDEX(CountryTable[Region],MATCH(GHG_Update_Crop[[#This Row],[Country]],CountryTable[Country],0))","v":"Africa"},"Wheat",{"$f":"CONCATENATE(GHG_Update_Crop[[#This Row],[Country]],GHG_Update_Crop[[#This Row],[Crop]])","v":"ZimbabweWheat"},{"$f":"INDEX(IFC_Commodity_CommodityGroup[IFC Commodity group],MATCH(GHG_Update_Crop[[#This Row],[Crop]],IFC_Commodity_CommodityGroup[IFC Commodity],0))","v":"Pulses & Grains"},null,null,{"$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}]

{"sheet":"Improv_lists","index":46,"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 section 3 of 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,"Crops quality assessment & monitoring during on-farm storage stage",null,"Improvements in handling practices during loading and unloading.",null,"Optimization of inventories in response to consumer demands through advanced IT systems",null,"Improvements in communication along the food value chain",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,"Evaporative coolers",null,"Introduce or expand energy-efficient, clean, low-carbon cold chains.",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,"Optimization of food processing facilities, reducing contamination, and limiting damages and spillage",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,"Hermetic Storage, for example hermetically sealed plastic storage bags for crops",null,"Lower-carbon fuel vehicles.",null,"Introduction of warehouse receipt system",null,"Improvements in temperature mangement, handling, and preservation techniques",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,"Control of environmental conditions (humidity, temperatures, ...)",null,"Improvements in control of environmental conditions (humidity, temperatures, ...)",null,"Crops quality assessment & monitoring",null,"Improvements in cleaning and sanitation to reduce losses due to contamination",null,"Improvements in packaging and portion design to enable consumers to purchase smaller or customized portions"]
[null,"Drying techniques and technologies",null,"Imprevements in handling processes",null,"Evaporative coolers",null,"Reengineering of production processes and product design to reduce waste during product line changeovers",null,"Improvements in other energy efficiency measures including efficient lighting, HVAC systems and building management"]
[null,"Improvements to handling processes",null,"Optimization of logistics to reduce trucking time",null,"Hermetic Storage, for example hermetically sealed plastic storage bags for crops",null,"Design and usage of packaging options and coatings that extend a product’s shelf life",null,"Optimization of inventory management systems (and increase flexibility in supplier contracts) to better match forecasting and ordering"]
[null,"Improvements to packing techniques",null,"Optimization of logistics to transport during coolest part of the day",null,"Improvements in control of environmental conditions (humidity, temperatures, ...)",null,"Introduction of resealable packaging to allow for incremental consumption",null,"Improvements in storage management to reduce mistakes that result in food loss"]
[null,"Improvements to water quality prior to harvest",null,"Refrigerated trucks",null,"Imprevements in handling processes",null,"Easy opening and emptying (accommodate desire for smaller or customizable portions)",null,"Expand cold storage systems during wholesale and logistics to protect products vulnerable to heat damage"]
[null,"Natural insecticides",null,"Reorganization of collect (improved packing and sorting)",null,"Improvements in warehouse operation (reducing humidity or vermin damage)",null,"Provision of a greater variety of packaging sizes to help shoppers purchase the amount appropriate for their needs",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,"On-farm food processing (peeling and washing, pressing, drying…)",null,"Shift from trucking to trains or barges with lower losses",null,"Plastic crates instead of bags for crops",null,"Development of near-farm facilities to convert unmarketable crops and by-products into value-added products",null,"Efficient refrigeration options including advanced refrigeration temperature control systems, installation of more efficient refrigerators, air curtains, closed display fridges, and replace refrigerants"]
[null,"Plastic crates instead of bags for crops",null,"Use of better containers during transportation to reduce contaminations",null,"Purdue Improved Cowpea Storage (PICS) bags",null,"Development new food products or secondary uses from what cannot be marketed",null,"None"]
[null,"Purdue Improved Cowpea Storage (PICS) bags",null,"None",null,"Refrigeration &/or cooling",null,"Fully leverage potential for using animal by-products to safely manufacture other products",null,"Other (see below)"]
[null,"Refrigeration and/or cooling",null,"Other (see below)",null,"Silos",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,"Silos",null,null,null,"None",null,"Introduction of mobile processing units"]
[null,"Unmarketable crops converted into value-added products",null,null,null,"Other (see below)",null,"Improvements in training of staff to reduce technical malfunctions and errors during processing"]
[null,"Warehousing",null,null,null,null,null,"None"]
[null,"Controlled environment agriculture (hydroponic or aquaponic cultivation system)",null,null,null,null,null,"Other (see below)"]
[null,"Coating to extend vegetable and fruits shelf life"]
[null,"None"]
[null,"Other (see below)"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[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":47,"n_rows":357,"n_cols":6,"rows_kept":357,"cut":false,"hidden":true,"merged":[]}
[]
[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","Iraq","South","Subtropical","Subtropical desert"]
[null,"Asia","Israel","North","Subtropical","Subtropical steppe"]
[null,"Asia","Israel","South","Tropical","Tropical desert"]
[null,"Asia","Japan","North","Temperate","Temperate mountaineous"]
[null,"Asia","Japan","South","Subtropical","Subtropical humid forest"]
[null,"Asia","Jordan",null,"Subtropical","Subtropical desert"]
[null,"Asia","Kazakhstan","North","Temperate","Temperate steppe"]
[null,"Asia","Kazakhstan","South","Temperate","Temperate desert"]
[null,"Asia","Korea, North",null,"Temperate","Temperate continental forest"]
[null,"Asia","Korea, South",null,"Temperate","Temperate continental forest"]
[null,"Asia","Kuwait",null,"Subtropical","Subtropical desert"]
[null,"Asia","Kyrgyzstan",null,"Temperate","Temperate mountaineous"]
[null,"Asia","Laos",null,"Tropical","Tropical rainforest"]
[null,"Asia","Lebanon",null,"Subtropical","Subtropical dry forest"]
[null,"Asia","Malaysia",null,"Tropical","Tropical rainforest"]
[null,"Asia","Maldives",null,"Tropical","Tropical rainforest"]
[null,"Asia","Mongolia","North","Boreal","Boreal mountain systems"]
[null,"Asia","Mongolia","East","Temperate","Temperate steppe"]
[null,"Asia","Mongolia","South","Temperate","Temperate desert"]
[null,"Asia","Mongolia","West","Temperate","Temperate mountaineous"]
[null,"Asia","Myanmar","North","Tropical","Tropical Rainforest"]
[null,"Asia","Myanmar","Central","Tropical","Tropical moist deciduous forest"]
[null,"Asia","Myanmar","South","Tropical","Tropical Rainforest"]
[null,"Asia","Nepal","North","Subtropical","Subtropical mountain system"]
[null,"Asia","Nepal","South","Tropical","Tropical moist deciduous forest"]
[null,"Asia","Oman",null,"Tropical","Tropical desert"]
[null,"Asia","Pakistan","North","Subtropical","Subtropical mountain system"]
[null,"Asia","Pakistan","Central","Subtropical","Subtropical steppe"]
[null,"Asia","Pakistan","East","Tropical","Tropical desert"]
[null,"Asia","Pakistan","West","Subtropical","Subtropical desert"]
[null,"Asia","Pakistan","South","Tropical","Tropical desert"]
[null,"Asia","Philippines",null,"Tropical","Tropical rainforest"]
[null,"Asia","Qatar",null,"Subtropical","Subtropical desert"]
[null,"Asia","Russian Federation","North","Polar","Polar"]
[null,"Asia","Russian Federation","North West","Boreal","Boreal coniferous forest"]
[null,"Asia","Russian Federation","North East","Boreal","Boreal tundra woodland"]
[null,"Asia","Russian Federation","East","Boreal","Boreal mountain systems"]
[null,"Asia","Russian Federation","Central","Boreal","Boreal coniferous forest"]
[null,"Asia","Russian Federation","West","Temperate","Temperate continental forest"]
[null,"Asia","Russian Federation","South East","Boreal","Boreal mountain systems"]
[null,"Asia","Russian Federation","South West","Temperate","Temperate steppe"]
[null,"Asia","Russian Federation","South","Temperate","Temperate continental forest"]
[null,"Asia","Saudi Arabia","North","Subtropical","Subtropical desert"]
[null,"Asia","Saudi Arabia","South","Tropical","Tropical desert"]
[null,"Asia","Singapore",null,"Tropical","Tropical rainforest"]
[null,"Asia","Sri Lanka","North","Tropical","Tropical dry forest"]
[null,"Asia","Sri Lanka","East","Tropical","Tropical moist deciduous forest"]
[null,"Asia","Sri Lanka","South","Tropical","Tropical dry forest"]
[null,"Asia","Sri Lanka","West","Tropical","Tropical rainforest"]
[null,"Asia","Syria",null,"Subtropical","Subtropical steppe"]
[null,"Asia","Tajikistan",null,"Temperate","Temperate mountaineous"]
[null,"Asia","Thailand","North","Tropical","Tropical moist deciduous forest"]
[null,"Asia","Thailand","Central","Tropical","Tropical dry forest"]
[null,"Asia","Thailand","South","Tropical","Tropical rainforest"]
[null,"Asia","Timor-Leste",null,"Tropical","Tropical rainforest"]
[null,"Asia","Turkey",null,"Subtropical","Subtropical mountain system"]
[null,"Asia","Turkmenistan",null,"Temperate","Temperate desert"]
[null,"Asia","United Arab Emirates",null,"Tropical","Tropical desert"]
[null,"Asia","Uzbekistan","East","Temperate","Temperate mountaineous"]
[null,"Asia","Uzbekistan","West","Temperate","Temperate desert"]
[null,"Asia","Vietnam",null,"Tropical","Tropical moist deciduous forest"]
[null,"Asia","Yemen",null,"Tropical","Tropical desert"]
[null,"Australia","Australia","Central","Subtropical","Subtropical desert"]
[null,"Australia","Australia","North","Tropical","Tropical shrubland"]
[null,"Australia","Australia","East","Subtropical","Subtropical steppe"]
[null,"Australia","Australia","South","Subtropical","Subtropical steppe"]
[null,"Australia","Australia","West","Subtropical","Subtropical desert"]
[null,"Australia","Fiji",null,"Tropical","Tropical rainforest"]
[null,"Australia","Kiribati",null,"Tropical","Tropical rainforest"]
[null,"Australia","Marshall Islands",null,"Tropical","Tropical rainforest"]
[null,"Australia","Micronesia",null,"Tropical","Tropical rainforest"]
[null,"Australia","Nauru",null,"Tropical","Tropical rainforest"]
[null,"Australia","New Zealand","North","Subtropical","Subtropical humid forest"]
[null,"Australia","New Zealand","South","Temperate","Temperate oceanic forest"]
[null,"Australia","Palau",null,"Tropical","Tropical rainforest"]
[null,"Australia","Papua New Guinea",null,"Tropical","Tropical rainforest"]
[null,"Australia","Samoa",null,"Tropical","Tropical moist deciduous forest"]
[null,"Australia","Solomon Islands",null,"Tropical","Tropical rainforest"]
[null,"Australia","Tonga",null,"Tropical","Tropical rainforest"]
[null,"Australia","Tuvalu",null,"Tropical","Tropical rainforest"]
[null,"Australia","Vanuatu",null,"Tropical","Tropical rainforest"]
[null,"Europe","Albania",null,"Subtropical","Subtropical dry forest"]
[null,"Europe","Andorra",null,"Temperate","Temperate mountaineous"]
[null,"Europe","Armenia",null,"Subtropical","Subtropical mountain system"]
[null,"Europe","Austria",null,"Temperate","Temperate mountaineous"]
[null,"Europe","Azerbaijan",null,"Temperate","Temperate Desert"]
[null,"Europe","Belarus",null,"Temperate","Temperate Continental forest"]
[null,"Europe","Belgium",null,"Temperate","Temperate oceanic forest"]
[null,"Europe","Bosnia and Herzegovina","North","Temperate","Temperate Continental forest"]
[null,"Europe","Bosnia and Herzegovina","Central","Temperate","Temperate mountaineous"]
[null,"Europe","Bosnia and Herzegovina","South","Subtropical","Subtropical dry forest"]
[null,"Europe","Bulgaria",null,"Temperate","Temperate Continental forest"]
[null,"Europe","Croatia","North","Temperate","Temperate continental forest"]
[null,"Europe","Croatia","Central","Temperate","Temperate mountaineous"]
[null,"Europe","Croatia","South","Subtropical","Subtropical dry forest"]
[null,"Europe","Cyprus",null,"Subtropical","Subtropical dry forest"]
[null,"Europe","Czech Republic",null,"Temperate","Temperate continental forest"]
[null,"Europe","Denmark",null,"Temperate","Temperate oceanic forest"]
[null,"Europe","Estonia",null,"Temperate","Temperate continental forest"]
[null,"Europe","Finland",null,"Boreal","Boreal coniferous forest"]
[null,"Europe","France",null,"Temperate","Temperate oceanic forest"]
[null,"Europe","Georgia","North","Temperate","Temperate mountaineous"]
[null,"Europe","Georgia","East","Temperate","Temperate continental forest"]
[null,"Europe","Georgia","South","Subtropical","Subtropical mountain system"]
[null,"Europe","Georgia","West","Subtropical","Subtropical humid forest"]
[null,"Europe","Germany",null,"Temperate","Temperate oceanic forest"]
[null,"Europe","Greece",null,"Subtropical","Subtropical dry forest"]
[null,"Europe","Hungary",null,"Temperate","Temperate continental forest"]
[null,"Europe","Iceland","West","Boreal","Boreal coniferous forest"]
[null,"Europe","Iceland","Central","Boreal","Boreal mountain systems"]
[null,"Europe","Iceland","East","Boreal","Boreal coniferous forest"]
[null,"Europe","Ireland",null,"Temperate","Temperate oceanic forest"]
[null,"Europe","Italy","North","Temperate","Temperate oceanic forest"]
[null,"Europe","Italy","South","Subtropical","Subtropical dry forest"]
[null,"Europe","Latvia",null,"Temperate","Temperate continental forest"]
[null,"Europe","Liechtenstein",null,"Temperate","Temperate mountaineous"]
[null,"Europe","Lithuania",null,"Temperate","Temperate continental forest"]
[null,"Europe","Luxembourg",null,"Temperate","Temperate oceanic forest"]
[null,"Europe","Macedonia",null,"Subtropical","Subtropical dry forest"]
[null,"Europe","Malta",null,"Subtropical","Subtropical dry forest"]
[null,"Europe","Moldova",null,"Temperate","Temperate continental forest"]
[null,"Europe","Monaco",null,"Subtropical","Subtropical dry forest"]
[null,"Europe","Montenegro",null,"Subtropical","Subtropical mountain system"]
[null,"Europe","Netherlands",null,"Temperate","Temperate oceanic forest"]
[null,"Europe","Norway",null,"Boreal","Boreal mountain systems"]
[null,"Europe","Poland",null,"Temperate","Temperate continental forest"]
[null,"Europe","Portugal",null,"Subtropical","Subtropical dry forest"]
[null,"Europe","Romania",null,"Temperate","Temperate continental forest"]
[null,"Europe","San Marino",null,"Subtropical","Subtropical humid forest"]
[null,"Europe","Serbia",null,"Temperate","Temperate continental forest"]
[null,"Europe","Slovakia","North","Temperate","Temperate mountaineous"]
[null,"Europe","Slovakia","South","Temperate","Temperate continental forest"]
[null,"Europe","Slovenia","East",null,"Temperate continental forest"]
[null,"Europe","Slovenia","West","Temperate","Temperate mountaineous"]
[null,"Europe","Spain",null,"Subtropical","Subtropical dry forest"]
[null,"Europe","Sweden","North East","Boreal","Boreal coniferous forest"]
[null,"Europe","Sweden","North West","Boreal","Boreal mountain systems"]
[null,"Europe","Sweden","Central","Boreal","Boreal coniferous forest"]
[null,"Europe","Sweden","South","Temperate","Temperate continental forest"]
[null,"Europe","Switzerland",null,"Temperate","Temperate mountaineous"]
[null,"Europe","Ukraine","North","Temperate","Temperate continental forest"]
[null,"Europe","Ukraine","South","Subtropical","Subtropical dry forest"]
[null,"Europe","United Kingdom",null,"Temperate","Temperate oceanic forest"]
[null,"Europe","Vatican City",null,"Subtropical","Subtropical dry forest"]
[null,"North America","Antigua and Barbuda",null,"Tropical","Tropical dry forest"]
[null,"North America","Bahamas",null,"Tropical","Tropical Rainforest"]
[null,"North America","Barbados",null,"Tropical","Tropical dry forest"]
[null,"North America","Belize","North","Tropical","Tropical moist deciduous forest"]
[null,"North America","Belize","South","Tropical","Tropical Rainforest"]
[null,"North America","Bermuda",null,"Subtropical","Subtropical humid forest"]
[null,"North America","Canada","North","Polar","Polar"]
[null,"North America","Canada","North West","Boreal","Boreal tundra woodland"]
[null,"North America","Canada","North East","Polar","Polar"]
[null,"North America","Canada","Central","Boreal","Boreal coniferous forest"]
[null,"North America","Canada","East","Boreal","Boreal tundra woodland"]
[null,"North America","Canada","West","Boreal","Boreal mountain systems"]
[null,"North America","Canada","South West","Temperate","Temperate mountaineous"]
[null,"North America","Canada","South East","Temperate","Temperate continental forest"]
[null,"North America","Canada","South","Temperate","Temperate steppe"]
[null,"North America","Costa Rica",null,"Tropical","Tropical rainforest"]
[null,"North America","Cuba",null,"Tropical","Tropical moist deciduous forest"]
[null,"North America","Dominica",null,"Tropical","Tropical rainforest"]
[null,"North America","Dominican Republic",null,"Tropical","Tropical rainforest"]
[null,"North America","El Salvador",null,"Tropical","Tropical moist deciduous forest"]
[null,"North America","Greenland",null,"Polar","Polar"]
[null,"North America","Grenada",null,"Tropical","Tropical rainforest"]
[null,"North America","Guadeloupe","West","Tropical","Tropical rainforest"]
[null,"North America","Guadeloupe","East","Tropical","Tropical dry forest"]
[null,"North America","Guatemala","North","Tropical","Tropical moist deciduous forest"]
[null,"North America","Guatemala","Central","Tropical","Tropical rainforest"]
[null,"North America","Guatemala","South","Tropical","Tropical mountain system"]
[null,"North America","Haiti",null,"Tropical","Tropical rainforest"]
[null,"North America","Honduras","West","Tropical","Tropical moist deciduous forest"]
[null,"North America","Honduras","East","Tropical","Tropical rainforest"]
[null,"North America","Jamaica",null,"Tropical","Tropical rainforest"]
[null,"North America","Mexico","North","Subtropical","Subtropical desert"]
[null,"North America","Mexico","North West","Subtropical","Subtropical desert"]
[null,"North America","Mexico","North East","Subtropical","Subtropical steppe"]
[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 West","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","Mexico","West","Subtropical","Subtropical mountain system"]
[null,"North America","Nicaragua","East","Tropical","Tropical rainforest"]
[null,"North America","Nicaragua","West","Tropical","Tropical moist deciduous forest"]
[null,"North America","Panama",null,"Tropical","Tropical rainforest"]
[null,"North America","Saint Kitts and Nevis",null,"Tropical","Tropical moist deciduous forest"]
[null,"North America","Saint Lucia",null,"Tropical","Tropical rainforest"]
[null,"North America","Saint Vincent and the Grenadines",null,"Tropical","Tropical rainforest"]
[null,"North America","Trinidad and Tobago",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","East","Temperate","Temperate continental forest"]
[null,"North America","United States","Central","Temperate","Temperate steppe"]
[null,"North America","United States","West","Temperate","Temperate desert"]
[null,"North America","United States","South East","Subtropical","Subtropical humid forest"]
[null,"North America","United States","South West","Subtropical","Subtropical 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"]