Pardee Wiki - User contributions [en]

Master Sheet

2022-08-10T17:25:11Z

Wikiadmin: yx test1

I don't know what happened, this is weird.

{| class="wikitable"
|Table
|Source (LINK)
|Last IFs Update
|Pulled By (Initials)
|-
|AbortJustifPercent
|World Value Survey
|2010/08/01
|
|-
|AuthorbyEduc
|World Value Survey
|
|
|-
|AutonPercent
|World Value Survey
|2010/08/01
|
|-
|DemocBest
|World Value Survey
|
|
|-
|DiploIGOWeightMaxStandardized
|Pardee Center Diplometrics
|2013/04/01
|JDM
|-
|GodImprtPercent
|World Value Survey
|2010/08/01
|
|-
|HappybyEduc
|World Value Survey
|2010/08/01
|
|-
|HappyPercent
|World Value Survey
|2010/08/01
|
|-
|HomoJustifPercent
|World Value Survey
|2010/08/01
|
|-
|MatPMTop
|World Value Survey
|2010/08/01
|
|-
|NationProudPercent
|
|
|
|-
|PMMinMatPercent
|World Value Survey
|
|
|-
|RespectAuthPercent
|World Value Survey
|2010/08/01
|
|-
|Series%boys(15-19)marriedorunion
|UNICEF
|2022/03/03
|KG
|-
|Series%girls(15-19)marriedorunion
|UNICEF
|2022/03/03
|KG
|-
|Series%men(20-24)marriedorunionbefore18
|UNICEF
|2022/03/03
|KG
|-
|Series%women(20-24)marriedorunionbefore15
|UNICEF
|2022/03/03
|KG
|-
|Series%women(20-24)marriedorunionbefore18
|UNICEF
|2022/03/03
|KG
|-
| SeriesAdditivePolyarchyIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
| SeriesAgBovineMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealsEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealsIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgCerealsYieldperHec
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgCerealWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgConMeat
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2008/05/01
|Converted to million metric tons
|-
|SeriesAGCropCalPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropDomesticSupplyFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgCropExportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropExportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropExportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropFatPerCapPerDayFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
| SeriesAGCropFoodSupplyPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgCropImportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropImportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropImportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
| HF,EB
|-
|SeriesAgCropProdIndex
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAGCropProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropProteinPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGCroptoFeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoFoodFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoFoodManuFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoOtherUtilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoSeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropTotEx
| Computed
|
|
|-
|SeriesAgCropTotIm
|Computed Sum
|
|
|-
|SeriesAGCroptoWasteFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFertUse
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgFertUseperHectare
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgFish%Protein
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|
|-
|SeriesAgFishAquaCatchTot
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
| 2009/07/25
|
|-
|SeriesAgFishAquaInland
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAgFishAquaMarine
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAgFishAquaOther
|FAOSTAT
|2012/03/04
|EWF;CN
|-
|SeriesAgFishAquaProdAqAnimalsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2015/08/20
| N.S
|-
|SeriesAgFishAquaProdAqPlantsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdCephalopodsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdCrustaceansFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdDemersalFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdFreshwaterFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdMarineFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdMolluscsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdOthersFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2015/08/20
| N.S
|-
|SeriesAgFishAquaProdPelagicFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaTotal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|Converted to million metric tons
|-
|SeriesAgFishCalPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishCalPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishCalPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishCalPerCapPerDayFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishCalPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishCalPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCatchProdAqAnimalsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdAqMammalsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdAqPlantsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdCephalopodsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdCrustaceansFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdDemersalFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdFreshwaterFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdMarineFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdMolluscsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdOthersFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2015/08/20
| N.S
|-
|SeriesAgFishCatchProdPelagicFSJ
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishDomesticSupplyAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
| SeriesAgFishDomesticSupplyAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishDomesticSupplyDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishDomesticSupplyFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishDomesticSupplyFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishDomesticSupplyLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
| SeriesAgFishDomesticSupplyMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportQuantityFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
| SeriesAgFishExportsAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishExportsAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishExportsDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishExportsFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishExportsFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishExportsLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishExportsMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsPelagicFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishExportVal
|FAO FishstatJ Software
|2017/07/18
|ALN, MKH
|-
|SeriesAgFishExportValueFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishExpt
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishFatPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishFatPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
| SeriesAgFishFatPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAGFishFatPerCapPerDayFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishFatPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayMarineFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
| SeriesAgFishFatPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishFoodSupplyPerCapPerDayFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishFoodSupplyPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFreshwaterCatch
|<nowiki>http://earthtrends.wri.org/text/coastal-marine/variables.html</nowiki>
|2011/12/01
|CN
|-
|SeriesAgFishImportQuantityFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
| SeriesAgFishImportsAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishImportsAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishImportsDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishImportsFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishImportsFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishImportsLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishImportsMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsPelagicFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishImportVal
|FAO FishstatJ Software
|2017/07/18
|ALN, MKH
|-
|SeriesAgFishImportValueFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishImpt
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAgFishInlandProd
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishMarineCatch
|<nowiki>http://earthtrends.wri.org/text/coastal-marine/variables.html</nowiki>
|2011/12/01
|CN
|-
|SeriesAgFishProdAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishProdAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishProdAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdAquaInland
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishProdAquaMarine
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishProdBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdCatchInland
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishProdCatchMarine
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishProdCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishProdCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishProdMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAGFishProductionFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishProteinPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishProteinPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishProteinPerCapPerDayFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishProteinPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishStockVarAqAnimalsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
| SeriesAgFishStockVarAqPlantsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarBodyOilFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarCephalopodsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarCrustaceansFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
| SeriesAgFishStockVarDemersalFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGFishStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarFreshwaterFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
| SeriesAgFishStockVarLiverOilFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarMarineFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
| SeriesAgFishStockVarMolluscsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarPelagicFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishtoFeedAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoFeedFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
| SeriesAgFishtoFeedFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedMealFAO
|FAOSTAT
|2015/08/20
| N.S
|-
|SeriesAgFishtoFeedMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedPelagicFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishtoFoodAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
| N.S
|-
|SeriesAgFishtoFoodAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoFoodFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
| SeriesAgFishtoFoodFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishtoOtherUtilAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishtoOtherUtilAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishtoOtherUtilCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishtoOtherUtilCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilDemersalFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAGFishtoOtherUtilFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoOtherUtilFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishtoOtherUtilMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilPelagicFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishtoSeedAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoSeedFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
| SeriesAgFishtoSeedFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFoodEx%MerchEx
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgFoodIm%MerchIm
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgFoodPriceIndex
|WDI CD 05
|2005/06/01
|
|-
|SeriesAgFoodProductIndex
|World Bank World Development Indicators 2008
|2008/08/28
|Food production index covers food crops that are considered edible and that contain nutrients. Coffee and tea are excluded because, although edible, they have no nutritive value
|-
|SeriesAgFruitEx
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitIm
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitSupply
|FAO BATCH PULL
|2017/05/28
| KN,HF,LW
|-
|SeriesAgFruitWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruVegEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFruVegIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAggBlanks
|JRS
|2012/01/23
|Created by JRS 2012/01/23
|-
|SeriesAgGrainLiv%GrainCon
|WRI online 2012
| 2011/12/01
|Blended with latest data. The country list for the online data ends with Serbia and Montenegro; CN
|-
|SeriesAgLifestockProdIndex
|WDI BATCH PULL
|2019/02/01
| KBN,HF.MD
|-
|SeriesAgMachTracper100H
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAGMeatCalPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatDomesticSupplyFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgMeatExportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatExportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatExportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatFatPerCapPerDayFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
| SeriesAGMeatFoodSupplyPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgMeatImportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatImportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatImportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAgMeatOtherProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatProteinPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGMeattoFeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoFoodFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoFoodManuFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoOtherUtilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoSeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoWasteFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMuttonandGoatMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPigMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPoultryMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgProdCereals
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdCocoaBeans
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdCoffeeGreen
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdEggs
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdFiberCrops
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdFruitsExclMelons
|FAO BATCH PULL
| 2018/02/12
|HF,EB
|-
|SeriesAgProdMeat
|FAO FAOstat; <nowiki>http://faostat.fao.org/site/569/default.aspx#ancor</nowiki>
|2018/02/22
|HF,EB
|-
|SeriesAgProdMilk
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdOilCrops
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdPulses
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdRootsTub
|FAO BATCH PULL
|2018/02/12
| HF,EB
|-
|SeriesAgProdSugarCane
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdTreenuts
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdVegMel
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgPulsesEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPulsesIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgRawEx%MerchEx
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgRawIm%MerchIm
|WDI BATCH Update 2018
|2018/05/05
| KBN,HF.MD
|-
|SeriesAgVegetableSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegetableWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegEx
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegIm
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAid%Untied
|Millennium Indicators Database, UN <nowiki>http://unstats.un.org/unsd/mi/mi_goals.asp</nowiki>
|2004/10/01
|
|-
|SeriesAidCerealDon
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAidCerealRec
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAidDACEd%GDP
|OECD; <nowiki>http://stats.oecd.org/</nowiki>
|2016/03/22
|BV; JM; data converted from current dollar to % of GDP; had to leave out data points due to unavailabiity of GDP data
|-
| SeriesAidDon%GNI
|United Nations Statistics Division available at: <nowiki>http://mdgs.un.org/unsd/mdg/SeriesDetail.aspx?srid=568&crid=</nowiki>
|2017/02/17
|AN;JM
|-
|SeriesAidDonEd%GDP
|OECD
| 2015/12/21
|JM, BV, Percent of GDP computed in IFs Project
|-
|SeriesAidDonEdScholar
|UN SDG Indicators Global Database
|2019/06/28
| JD
|-
|SeriesAidDonLDCs%GNI
|United Nations Statistics Division available at <nowiki>http://mdgs.un.org/unsd/mdg/</nowiki>
|2017/02/17
|AN;JM
|-
|SeriesAidDonSocServ%Total
|Millennium Indicators Database, United Nation's Statistics Division; Available at <nowiki>http://unstats.un.org/unsd/mi/mi_goals.asp</nowiki>
|2005/01/01
|
|-
|SeriesAidEnergyInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidforTradeCommitDonor
|UN SDG Indicators Global Database
|2019/06/28
| JD
|-
|SeriesAidforTradeCommitRecipient
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidforTradeDisburseDonor
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidforTradeDisburseRecipient
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
| SeriesAidHealthcareGross
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidHealthcareNet
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidICTInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidInfrastructure%TotalAid
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidRec
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAidRec%GNI
|WDI BATCH PULL
|2020/08/05
| RG,KBN,KM
|-
|SeriesAidRec%GNIOECD
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecGrant%Total
|WDI BATCH PULL
|2018/12/13
|KBN,AZ
|-
|SeriesAidRecGrant%TotRev
|WDI BATCH PULL 2020
|2020/08/07
| YX
|-
|SeriesAidRecGrants%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecGross%GDP
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAidRecLoanGross%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
| SeriesAidRecLoanNet%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecLoanRepay%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
| 2022/06/06
|YX
|-
|SeriesAidRecPerCap
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
| SeriesAidRecRecover%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRoadsInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAIDSDths
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAidtoDevelopingCountriesUSD
|UN SDG Indicators Global Database
|2019/06/28
| JD
|-
|SeriesAidTotalInfrastructure
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidTotalOECD
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidTotFlowsAgSector
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
| SeriesAidWaterSanitation
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidWaterSanitationInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAlternativeSourcesofInformationIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesArmsExp%TotExp
|WDI BATCH PULL
|2019/01/18
| KBN,HF.MD
|-
|SeriesArmsExports
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsExportsMonadic%GDP
|WB; SIPRI directly for Palestine, Montenegro, and Taiwan; Pardee calculations
|2022/06/01
|CLP; Unit fix
|-
|SeriesArmsImp%TotImp
|WDI BATCH PULL
|2019/01/18
|KBN,EM
|-
|SeriesArmsImports
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsImportsMonadic%GDP
|WB; SIPRI directly for Palestine, Montenegro, and Taiwan; Pardee calculations
|2022/06/01
| CLP; Unit fix
|-
|SeriesAutomobileSales
|GM IEMA
|
|
|-
| SeriesAvgAgeAtFirstMarriageMen-UN
|UN World Marriage Data 2019
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageMen-WB
|World Bank
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-UN
|UN World Marriage Data 2019
|2022/04/01
|AP
|-
| SeriesAvgAgeAtFirstMarriageWomen-UNOECD
|Our World in Data
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-WB
|World Bank
|2022/04/01
|AP
|-
|SeriesAvgLifeExpectancyIHMEForecasts
|IHME
| 2019/01/06
|KBN
|-
|SeriesBankActAdult%
|UN SDG Indicators Global Database
|2019/06/28
| JD
|-
| SeriesBankATMTotl
|UN SDG Indicators Global Database
| 2019/06/28
|JD
|-
|SeriesBankBranchTotl
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesBirthsRegisteredUnder5%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesCalPCap
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesCalPCapAnimal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/06/01
|
|-
|SeriesCarsHigh
|
|
|
|-
|SeriesCarsIntermediate
|
|
|
|-
|SeriesCarsLarge
|
|
|
|-
|SeriesCarsLargeFamilyWagon
|
|
|
|-
|SeriesCarsLowMedium
|
|
|
|-
|SeriesCarsMini
|
|
|
|-
|SeriesCarsSmall
|
|
|
|-
|SeriesCarsSmallFamilyWagon
|
|
|
|-
|SeriesCarsSportHigh
|
|
|
|-
|SeriesCarsSportLow
|
|
|
|-
|SeriesCarsTotal
|
|
|
|-
|SeriesCarsTrucksTotal
|
|
|
|-
|SeriesCarsUpperMedium
|
|
|
|-
|SeriesCBCapitalCont
| Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
| SeriesCBCapitalCont10YrMovavg
| Computed for Productivity Project with Data from Conference Board
| 2018/11/25
|KBN
|-
|SeriesCBGDPgr
| Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBGDPgr10Yravg
| Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBLabQualCont
| Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBLabQuantCont
| Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBLabQuantCont10YrAvg
| Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBR
|World Development Indicators
|2022/03/21
|YX, JD
|-
|SeriesCBTFPTot
| Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCDR
|World Development Indicators
|2022/03/21
|YX, JD
|-
|SeriesChiefExecutiveNolongerElectedVDEM
|Varieties of Democracy
|2019/08/06
|CW,MM,AW
|-
|SeriesChildStuntingPercentWDI
|World Development Indicators
|2022/03/21
|YX; JS
|-
| SeriesCivilLibertiesindexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesCivilSocietyParticipationIndexVDEM
|Varieties of Democracy
|2019/08/08
|BG
|-
| SeriesCleanElectionsIndexVDEM
|Varieties of Democracy
|2019/08/08
|BG
|-
|SeriesCompanyValue%GDP
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesCompetitivenessMicroEcon
|World Economic Forum. <nowiki>http://www.weforum.org/site/homepublic.nsf/Content/Global+Competitiveness+Programme%5CReports%5CGlobal+Competitiveness+Report+2002-2003</nowiki>
|
|
|-
|SeriesCompetitivenessRank
|World Economic Forum. <nowiki>http://www.weforum.org/site/homepublic.nsf/Content/Global+Competitiveness+Programme%5CReports%5CGlobal+Competitiveness+Report+2002-2003</nowiki>
|2005/02/01
|
|-
|SeriesCompetitivenessScore
|World Economic Forum. <nowiki>http://www.weforum.org/en/initiatives/gcp/Global%20Competitiveness%20Report/index.htm</nowiki>
|2010/04/01
|MJS
|-
|SeriesComplianceParisPrinc
|UN SDG Indicators Global Database
|
| CW, Official Indicator, Number of countries with National Human Rights Institutions with (1) no status; (2) no application for accreditation; (3) not fully compliant; (4) in compliance with the Paris Principles
|-
|SeriesConflictandTerrorsimDeathRate
|IHME GBD
|2018/03/19
|KN
|-
|SeriesConflictandTerrorsimpPrevRate
|IHME GBD
|2018/03/19
| KN
|-
|SeriesConflictAreaAffectedUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictDeathsUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictOngoingUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictPeaceYearsUCDP
|World Bank
|2019/08/16
|JD
|-
| SeriesConflictPopulationAffectedUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictPopulationShareAffectedUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictProbHegreSSP1
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictProbHegreSSP2
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictProbHegreSSP3
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictProbHegreSSP4
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictProbHegreSSP5
|Taken from paper by Havard Hegre (2016)
|2021/07/30
| VY;
|-
|SeriesConflictStateDeathsUCDP
|World Bank
|2019/08/16
| JD
|-
|SeriesConsumerPriceIndex
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesConsumFinal%GDP
|WDI BATCH PULL
|2019/01/18
| KBN,HF.MD
|-
|SeriesConsumGenGovt%GDP
|World Development Indicators
|2022/04/25
|GE,
|-
|SeriesConsumHHFinal%GDP
|World Development Indicators
|2022/04/25
| GE,
|-
|SeriesConsumptionperCapitaDM
|Pulled from IFs
|2018/02/15
|KN
|-
|SeriesConsumTotal%GDP
|World Development Indicators
|2022/04/25
|GE,
|-
|SeriesCoreCivilSocietyIndexVDEM
|Varieties of Democracy
| 2019/08/06
|AW
|-
|SeriesCorpTax%GDPimf
|IMF WoRLD
|2017/03/30
|HF;JM Coutry concordance created for this series IMF WoRLD. Data unable to be pulled as batch.
|-
|SeriesCorruption
|Transparency International www.transparency.org/documents/index.html. Various years
|2012/02/01
|AS;CN
|-
|SeriesCorruptionCPINew
|Transparency International
|2022/04/19
|KG
|-
|SeriesCrimesAssault
| UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
| 2012/01/10
|Until 2002 this data was a part of the Human Development Report, which obtained the information from the ICVS, defunct since 2002;CN
|-
|SeriesCrimesBribery
|Human Development Report 2002
|2011/08/12
|AS; split from SeriesCrimes
|-
|SeriesCrimesDrugper100000
| UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|CN
|-
|SeriesCrimesHomicper100000
| UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
| CN
|-
|SeriesCrimesKidnapping
| UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|AT;CN
|-
|SeriesCrimesPrisonersper100000
| UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|CN
|-
|SeriesCrimesProperty
| UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
| 2012/01/10
|Until 2002 this data was a part of the Human Development Report, which obtained the information from the ICVS, defunct since 2002; CN
|-
|SeriesCrimesRobbery
| UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
| 2012/01/10
|Until 2002 this data was a part of the Human Development Report, which obtained the information from the ICVS, defunct since 2002; CN
|-
|SeriesCrimesSexualAssault
| UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
| 2012/01/10
|Until 2002 this data was a part of the Human Development Report, which obtained the information from the ICVS, defunct since 2002;CN
|-
| SeriesCrimesTotal
|Human Development Report 2002
|2011/08/12
|AS; split from SeriesCrimes
|-
|SeriesCulAfricaDum
|World Value Survey
|
|
|-
|SeriesCulBuddhistDum
|World Value Survey
|
|
|-
|SeriesCulCathDum
|World Value Survey
|
|
|-
|SeriesCulConfucDum
|World Value Survey
|
|
|-
|SeriesCulEngSpeakDum
|World Value Survey
|
|
|-
|SeriesCulExComDum
|World Value Survey
|
|
|-
|SeriesCulHinduDum
|World Value Survey
|
|
|-
|SeriesCulIslamicDum
|World Value Survey
|
|
|-
|SeriesCulLatAmerDum
|World Value Survey
|
|
|-
|SeriesCulOrthDum
|World Value Survey
|
|
|-
|SeriesCulProtDum
|World Value Survey
|
|
|-
|SeriesDeathsper1000IHMEForecasts
|IHME
|2019/01/06
|KBN
|-
|SeriesDeliberativeComponentIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesDeliberativeDemocracyIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesDesalinatedWater
|AQU (AQUASTAT) BATCH PULL
| 2019/09/08
|BG
|-
|SeriesDipExIn
|Correlates of War
|2012/01/25
|TL;CN
|-
|SeriesDipExOut
|Correlates of War
|2012/01/25
|TL;CN
|-
| SeriesDiploDiplomacyRelativePercent
|Pardee Center origional research.
|2012/10/09
|DKB
|-
| SeriesDiploDiplomaticConnectionIndex
|Pardee Center origional research.
|2012/10/09
|DKB
|-
|SeriesDiploDistanceToEurope
|
|2012/11/06
|
|-
|SeriesDiploEmbassyIn
|Diplometrics
|2022/04/08
|CLP
|-
|SeriesDiploEmbassyMaxGlobal
|Diplometrics
|2016/08/23
|CLP
|-
|SeriesDiploEmbassyOut
|Diplometrics
|2022/04/08
|CLP
|-
|SeriesDiploEmbassyOutStd
|Pardee Center origional research.
|2012/10/09
|DKB
|-
|SeriesDiploEmbassyStandCountry
|
|2012/10/29
|
|-
|SeriesDiploEmbassyStandGlobal
|
|2012/10/29
|
|-
|SeriesDiploEmbassyTotal
|
|2012/07/18
|
|-
| SeriesDiploIGOMembershipWeightedStd
|Pardee Center origional research.
|2012/10/09
|DKB
|-
|SeriesDiploIGOMemberTotal
|Diplometrics
|2022/06/15
|CLP, Data from Adam
|-
|SeriesDiploIGONetworkedTotal
|
|2012/07/17
|
|-
|SeriesDiploIGONetworkedWeighted
|
|2012/07/17
|
|-
|SeriesDiploIGOWeightedStandCountry
|
|2012/10/29
|
|-
|SeriesDiploIGOWeightedTotal
|Diplometrics
|2022/06/15
|CLP, Data from Adam
|-
|SeriesDiploIGOWeightMax
|Diplometrics
|2016/08/23
|CLP
|-
|SeriesDiploINGOAdvocacy
|Diplometrics
|2017/01/04
|JEM
|-
|SeriesDiploINGOAfiodi
|Diplometrics
|2017/01/04
|JEM
|-
|SeriesDiploINGOAfiodiIn
|Diplometrics
|2017/01/04
|JEM
|-
|SeriesDIPLOINGOdsiaicount
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOdsiaicytotal
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOdsiodicount
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOdsiodicytotal
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDiploINGOFiodi
|Diplometrics
|2017/01/04
|JEM
|-
|SeriesDIPLOINGOfiodicount
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOfiodicytotal
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypecy
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypehi
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypelm
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypelo
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypeum
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOingocount
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOops12count
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOops1count
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOops2count
|Diplometrics
|2020/12/15
|AM; YX
|-
|Table
|Source (LINK)
|Last IFs Update
|Pulled By (Initials)
|-
|AbortJustifPercent
|World Value Survey
|2010/08/01
|
|-
|AuthorbyEduc
|World Value Survey
|
|
|-
|AutonPercent
|World Value Survey
|2010/08/01
|
|-
|DemocBest
|World Value Survey
|
|
|-
|DiploIGOWeightMaxStandardized
|Pardee Center Diplometrics
|2013/04/01
|JDM
|-
|GodImprtPercent
|World Value Survey
|2010/08/01
|
|-
|HappybyEduc
|World Value Survey
|2010/08/01
|
|-
|HappyPercent
|World Value Survey
|2010/08/01
|
|-
|HomoJustifPercent
|World Value Survey
|2010/08/01
|
|-
|MatPMTop
|World Value Survey
|2010/08/01
|
|-
|NationProudPercent
|
|
|
|-
|PMMinMatPercent
|World Value Survey
|
|
|-
|RespectAuthPercent
|World Value Survey
|2010/08/01
|
|-
|Series%boys(15-19)marriedorunion
|UNICEF
|2022/03/03
|KG
|-
|Series%girls(15-19)marriedorunion
|UNICEF
|2022/03/03
|KG
|-
|Series%men(20-24)marriedorunionbefore18
|UNICEF
|2022/03/03
|KG
|-
|Series%women(20-24)marriedorunionbefore15
|UNICEF
|2022/03/03
|KG
|-
|Series%women(20-24)marriedorunionbefore18
|UNICEF
|2022/03/03
|KG
|-
| SeriesAdditivePolyarchyIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
| SeriesAgBovineMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealsEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealsIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgCerealsYieldperHec
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgCerealWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgConMeat
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2008/05/01
|Converted to million metric tons
|-
|SeriesAGCropCalPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropDomesticSupplyFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgCropExportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropExportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropExportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropFatPerCapPerDayFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
| SeriesAGCropFoodSupplyPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgCropImportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropImportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropImportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
| HF,EB
|-
|SeriesAgCropProdIndex
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAGCropProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropProteinPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGCroptoFeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoFoodFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoFoodManuFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoOtherUtilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoSeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropTotEx
| Computed
|
|
|-
|SeriesAgCropTotIm
|Computed Sum
|
|
|-
|SeriesAGCroptoWasteFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFertUse
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgFertUseperHectare
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgFish%Protein
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|
|-
|SeriesAgFishAquaCatchTot
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
| 2009/07/25
|
|-
|SeriesAgFishAquaInland
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAgFishAquaMarine
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAgFishAquaOther
|FAOSTAT
|2012/03/04
|EWF;CN
|-
|SeriesAgFishAquaProdAqAnimalsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2015/08/20
| N.S
|-
|SeriesAgFishAquaProdAqPlantsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdCephalopodsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdCrustaceansFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdDemersalFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdFreshwaterFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdMarineFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdMolluscsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdOthersFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2015/08/20
| N.S
|-
|SeriesAgFishAquaProdPelagicFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaTotal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|Converted to million metric tons
|-
|SeriesAgFishCalPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishCalPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishCalPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishCalPerCapPerDayFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishCalPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishCalPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCatchProdAqAnimalsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdAqMammalsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdAqPlantsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdCephalopodsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdCrustaceansFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdDemersalFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdFreshwaterFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdMarineFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdMolluscsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdOthersFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2015/08/20
| N.S
|-
|SeriesAgFishCatchProdPelagicFSJ
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishDomesticSupplyAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
| SeriesAgFishDomesticSupplyAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishDomesticSupplyDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishDomesticSupplyFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishDomesticSupplyFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishDomesticSupplyLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
| SeriesAgFishDomesticSupplyMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportQuantityFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
| SeriesAgFishExportsAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishExportsAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishExportsDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishExportsFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishExportsFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishExportsLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishExportsMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsPelagicFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishExportVal
|FAO FishstatJ Software
|2017/07/18
|ALN, MKH
|-
|SeriesAgFishExportValueFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishExpt
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishFatPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishFatPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
| SeriesAgFishFatPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAGFishFatPerCapPerDayFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishFatPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayMarineFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
| SeriesAgFishFatPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishFoodSupplyPerCapPerDayFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishFoodSupplyPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFreshwaterCatch
|<nowiki>http://earthtrends.wri.org/text/coastal-marine/variables.html</nowiki>
|2011/12/01
|CN
|-
|SeriesAgFishImportQuantityFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
| SeriesAgFishImportsAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishImportsAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishImportsDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishImportsFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishImportsFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishImportsLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishImportsMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsPelagicFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishImportVal
|FAO FishstatJ Software
|2017/07/18
|ALN, MKH
|-
|SeriesAgFishImportValueFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishImpt
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAgFishInlandProd
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishMarineCatch
|<nowiki>http://earthtrends.wri.org/text/coastal-marine/variables.html</nowiki>
|2011/12/01
|CN
|-
|SeriesAgFishProdAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishProdAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishProdAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdAquaInland
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishProdAquaMarine
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishProdBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdCatchInland
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishProdCatchMarine
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishProdCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishProdCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishProdMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAGFishProductionFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishProteinPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishProteinPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishProteinPerCapPerDayFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishProteinPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishStockVarAqAnimalsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
| SeriesAgFishStockVarAqPlantsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarBodyOilFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarCephalopodsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarCrustaceansFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
| SeriesAgFishStockVarDemersalFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGFishStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarFreshwaterFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
| SeriesAgFishStockVarLiverOilFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarMarineFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
| SeriesAgFishStockVarMolluscsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarPelagicFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishtoFeedAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoFeedFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
| SeriesAgFishtoFeedFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedMealFAO
|FAOSTAT
|2015/08/20
| N.S
|-
|SeriesAgFishtoFeedMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedPelagicFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishtoFoodAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
| N.S
|-
|SeriesAgFishtoFoodAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoFoodFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
| SeriesAgFishtoFoodFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishtoOtherUtilAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishtoOtherUtilAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishtoOtherUtilCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgFishtoOtherUtilCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilDemersalFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAGFishtoOtherUtilFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoOtherUtilFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishtoOtherUtilMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilPelagicFAO
|FAO BATCH PULL
|2022/01/14
| KS
|-
|SeriesAgFishtoSeedAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoSeedFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
| SeriesAgFishtoSeedFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFoodEx%MerchEx
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgFoodIm%MerchIm
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgFoodPriceIndex
|WDI CD 05
|2005/06/01
|
|-
|SeriesAgFoodProductIndex
|World Bank World Development Indicators 2008
|2008/08/28
|Food production index covers food crops that are considered edible and that contain nutrients. Coffee and tea are excluded because, although edible, they have no nutritive value
|-
|SeriesAgFruitEx
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitIm
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitSupply
|FAO BATCH PULL
|2017/05/28
| KN,HF,LW
|-
|SeriesAgFruitWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruVegEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFruVegIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAggBlanks
|JRS
|2012/01/23
|Created by JRS 2012/01/23
|-
|SeriesAgGrainLiv%GrainCon
|WRI online 2012
| 2011/12/01
|Blended with latest data. The country list for the online data ends with Serbia and Montenegro; CN
|-
|SeriesAgLifestockProdIndex
|WDI BATCH PULL
|2019/02/01
| KBN,HF.MD
|-
|SeriesAgMachTracper100H
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAGMeatCalPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatDomesticSupplyFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgMeatExportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatExportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatExportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatFatPerCapPerDayFAO
|FAO Food Balance Sheets
| 2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
| SeriesAGMeatFoodSupplyPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
| SeriesAgMeatImportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatImportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatImportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAgMeatOtherProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatProteinPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGMeattoFeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoFoodFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoFoodManuFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoOtherUtilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoSeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoWasteFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMuttonandGoatMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPigMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPoultryMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgProdCereals
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdCocoaBeans
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdCoffeeGreen
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdEggs
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdFiberCrops
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdFruitsExclMelons
|FAO BATCH PULL
| 2018/02/12
|HF,EB
|-
|SeriesAgProdMeat
|FAO FAOstat; <nowiki>http://faostat.fao.org/site/569/default.aspx#ancor</nowiki>
|2018/02/22
|HF,EB
|-
|SeriesAgProdMilk
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdOilCrops
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdPulses
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdRootsTub
|FAO BATCH PULL
|2018/02/12
| HF,EB
|-
|SeriesAgProdSugarCane
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdTreenuts
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdVegMel
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgPulsesEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPulsesIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgRawEx%MerchEx
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgRawIm%MerchIm
|WDI BATCH Update 2018
|2018/05/05
| KBN,HF.MD
|-
|SeriesAgVegetableSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegetableWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegEx
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegIm
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAid%Untied
|Millennium Indicators Database, UN <nowiki>http://unstats.un.org/unsd/mi/mi_goals.asp</nowiki>
|2004/10/01
|
|-
|SeriesAidCerealDon
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAidCerealRec
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAidDACEd%GDP
|OECD; <nowiki>http://stats.oecd.org/</nowiki>
|2016/03/22
|BV; JM; data converted from current dollar to % of GDP; had to leave out data points due to unavailabiity of GDP data
|-
| SeriesAidDon%GNI
|United Nations Statistics Division available at: <nowiki>http://mdgs.un.org/unsd/mdg/SeriesDetail.aspx?srid=568&crid=</nowiki>
|2017/02/17
|AN;JM
|-
|SeriesAidDonEd%GDP
|OECD
| 2015/12/21
|JM, BV, Percent of GDP computed in IFs Project
|-
|SeriesAidDonEdScholar
|UN SDG Indicators Global Database
|2019/06/28
| JD
|-
|SeriesAidDonLDCs%GNI
|United Nations Statistics Division available at <nowiki>http://mdgs.un.org/unsd/mdg/</nowiki>
|2017/02/17
|AN;JM
|-
|SeriesAidDonSocServ%Total
|Millennium Indicators Database, United Nation's Statistics Division; Available at <nowiki>http://unstats.un.org/unsd/mi/mi_goals.asp</nowiki>
|2005/01/01
|
|-
|SeriesAidEnergyInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidforTradeCommitDonor
|UN SDG Indicators Global Database
|2019/06/28
| JD
|-
|SeriesAidforTradeCommitRecipient
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidforTradeDisburseDonor
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidforTradeDisburseRecipient
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
| SeriesAidHealthcareGross
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidHealthcareNet
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidICTInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidInfrastructure%TotalAid
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidRec
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAidRec%GNI
|WDI BATCH PULL
|2020/08/05
| RG,KBN,KM
|-
|SeriesAidRec%GNIOECD
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecGrant%Total
|WDI BATCH PULL
|2018/12/13
|KBN,AZ
|-
|SeriesAidRecGrant%TotRev
|WDI BATCH PULL 2020
|2020/08/07
| YX
|-
|SeriesAidRecGrants%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecGross%GDP
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAidRecLoanGross%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
| SeriesAidRecLoanNet%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecLoanRepay%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
| 2022/06/06
|YX
|-
|SeriesAidRecPerCap
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
| SeriesAidRecRecover%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRoadsInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAIDSDths
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAidtoDevelopingCountriesUSD
|UN SDG Indicators Global Database
|2019/06/28
| JD
|-
|SeriesAidTotalInfrastructure
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidTotalOECD
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidTotFlowsAgSector
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
| SeriesAidWaterSanitation
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidWaterSanitationInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAlternativeSourcesofInformationIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesArmsExp%TotExp
|WDI BATCH PULL
|2019/01/18
| KBN,HF.MD
|-
|SeriesArmsExports
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsExportsMonadic%GDP
|WB; SIPRI directly for Palestine, Montenegro, and Taiwan; Pardee calculations
|2022/06/01
|CLP; Unit fix
|-
|SeriesArmsImp%TotImp
|WDI BATCH PULL
|2019/01/18
|KBN,EM
|-
|SeriesArmsImports
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsImportsMonadic%GDP
|WB; SIPRI directly for Palestine, Montenegro, and Taiwan; Pardee calculations
|2022/06/01
| CLP; Unit fix
|-
|SeriesAutomobileSales
|GM IEMA
|
|
|-
| SeriesAvgAgeAtFirstMarriageMen-UN
|UN World Marriage Data 2019
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageMen-WB
|World Bank
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-UN
|UN World Marriage Data 2019
|2022/04/01
|AP
|-
| SeriesAvgAgeAtFirstMarriageWomen-UNOECD
|Our World in Data
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-WB
|World Bank
|2022/04/01
|AP
|-
|SeriesAvgLifeExpectancyIHMEForecasts
|IHME
| 2019/01/06
|KBN
|-
|SeriesBankActAdult%
|UN SDG Indicators Global Database
|2019/06/28
| JD
|-
| SeriesBankATMTotl
|UN SDG Indicators Global Database
| 2019/06/28
|JD
|-
|SeriesBankBranchTotl
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesBirthsRegisteredUnder5%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesCalPCap
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesCalPCapAnimal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/06/01
|
|-
|SeriesCarsHigh
|
|
|
|-
|SeriesCarsIntermediate
|
|
|
|-
|SeriesCarsLarge
|
|
|
|-
|SeriesCarsLargeFamilyWagon
|
|
|
|-
|SeriesCarsLowMedium
|
|
|
|-
|SeriesCarsMini
|
|
|
|-
|SeriesCarsSmall
|
|
|
|-
|SeriesCarsSmallFamilyWagon
|
|
|
|-
|SeriesCarsSportHigh
|
|
|
|-
|SeriesCarsSportLow
|
|
|
|-
|SeriesCarsTotal
|
|
|
|-
|SeriesCarsTrucksTotal
|
|
|
|-
|SeriesCarsUpperMedium
|
|
|
|-
|SeriesCBCapitalCont
| Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
| SeriesCBCapitalCont10YrMovavg
| Computed for Productivity Project with Data from Conference Board
| 2018/11/25
|KBN
|-
|SeriesCBGDPgr
| Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBGDPgr10Yravg
| Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBLabQualCont
| Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBLabQuantCont
| Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBLabQuantCont10YrAvg
| Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|}
{| class="wikitable"
|
|Series Name
|Source
|Last IFs Update
|Pulled By (Initials)
|Description
|-
|1
| Example Series
| [[FAOSTAT]]
|2022/07/27
|TZ
|The Example Series is pulled from [[FAOSTAT]] and is typically used to do stuff
|-
|2
|Example 2 Series
|[[World Bank]]
|2022/07/27
|TZ
|Link to [https://data.worldbank.org/ external source] in Master Sheet
|-
|3
|Example Formula
|N/A
|N/A
|N/A
|This is showcasing a formula insert
|}
{| cellspacing="0" border="1" bgcolor="#ffffff"
|+'''DataDict'''
|-
! bgcolor="#c0c0c0" |<font style="font-size: 11pt;" face="calibri" color="#000000">Table</font>
! bgcolor="#c0c0c0" |<font style="font-size: 11pt;" face="calibri" color="#000000">Source</font>
! bgcolor="#c0c0c0" |<font style="font-size: 11pt;" face="calibri" color="#000000">Last IFs Update</font>
! bgcolor="#c0c0c0" |<font style="font-size: 11pt;" face="calibri" color="#000000">Pulled By (Initials)</font>
|- valign="top"
|<font style="font-size: 11pt;" face="calibri" color="#000000">ExampleSeries</font>
|<font style="font-size: 11pt;" face="calibri" color="#000000">FAO [insert link]</font>
|<font style="font-size: 11pt;" face="calibri" color="#000000">2015/04/10</font>
|TZ
|}

Master Sheet

2022-08-10T17:10:28Z

Wikiadmin: Removed protection from "Master Sheet"

{| class="wikitable"
|Table
|Source (LINK)
|Last IFs Update
|Pulled By (Initials)
|-
|AbortJustifPercent
|World Value Survey
|2010/08/01
|
|-
|AuthorbyEduc
|World Value Survey
|
|
|-
|AutonPercent
|World Value Survey
|2010/08/01
|
|-
|DemocBest
|World Value Survey
|
|
|-
|DiploIGOWeightMaxStandardized
|Pardee Center Diplometrics
|2013/04/01
|JDM
|-
|GodImprtPercent
|World Value Survey
|2010/08/01
|
|-
|HappybyEduc
|World Value Survey
|2010/08/01
|
|-
|HappyPercent
|World Value Survey
|2010/08/01
|
|-
|HomoJustifPercent
|World Value Survey
|2010/08/01
|
|-
|MatPMTop
|World Value Survey
|2010/08/01
|
|-
|NationProudPercent
|
|
|
|-
|PMMinMatPercent
|World Value Survey
|
|
|-
|RespectAuthPercent
|World Value Survey
|2010/08/01
|
|-
|Series%boys(15-19)marriedorunion
|UNICEF
|2022/03/03
|KG
|-
|Series%girls(15-19)marriedorunion
|UNICEF
|2022/03/03
|KG
|-
|Series%men(20-24)marriedorunionbefore18
|UNICEF
|2022/03/03
|KG
|-
|Series%women(20-24)marriedorunionbefore15
|UNICEF
|2022/03/03
|KG
|-
|Series%women(20-24)marriedorunionbefore18
|UNICEF
|2022/03/03
|KG
|-
|SeriesAdditivePolyarchyIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesAgBovineMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealsEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealsIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgCerealsYieldperHec
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgCerealWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgConMeat
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2008/05/01
|Converted to million metric tons
|-
|SeriesAGCropCalPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropDomesticSupplyFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropExportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropExportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropExportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropFatPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAGCropFoodSupplyPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropImportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropImportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropImportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAgCropProdIndex
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAGCropProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropProteinPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGCroptoFeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoFoodFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoFoodManuFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoOtherUtilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoSeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropTotEx
|Computed
|
|
|-
|SeriesAgCropTotIm
|Computed Sum
|
|
|-
|SeriesAGCroptoWasteFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFertUse
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgFertUseperHectare
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgFish%Protein
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|
|-
|SeriesAgFishAquaCatchTot
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishAquaInland
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAgFishAquaMarine
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAgFishAquaOther
|FAOSTAT
|2012/03/04
|EWF;CN
|-
|SeriesAgFishAquaProdAqAnimalsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2015/08/20
|N.S
|-
|SeriesAgFishAquaProdAqPlantsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdCephalopodsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdCrustaceansFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdDemersalFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdFreshwaterFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdMarineFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdMolluscsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdOthersFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2015/08/20
|N.S
|-
|SeriesAgFishAquaProdPelagicFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaTotal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|Converted to million metric tons
|-
|SeriesAgFishCalPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishCalPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishCalPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishCalPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCatchProdAqAnimalsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdAqMammalsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdAqPlantsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdCephalopodsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdCrustaceansFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdDemersalFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdFreshwaterFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdMarineFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdMolluscsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdOthersFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2015/08/20
|N.S
|-
|SeriesAgFishCatchProdPelagicFSJ
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishDomesticSupplyAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishDomesticSupplyAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishDomesticSupplyFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishDomesticSupplyFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishDomesticSupplyMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportQuantityFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishExportsAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishExportsAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishExportsFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishExportsFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishExportsMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportVal
|FAO FishstatJ Software
|2017/07/18
|ALN, MKH
|-
|SeriesAgFishExportValueFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishExpt
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishFatPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishFatPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAGFishFatPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishFatPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayMarineFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishFoodSupplyPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishFoodSupplyPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFreshwaterCatch
|<nowiki>http://earthtrends.wri.org/text/coastal-marine/variables.html</nowiki>
|2011/12/01
|CN
|-
|SeriesAgFishImportQuantityFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishImportsAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishImportsFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishImportsFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishImportsMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportVal
|FAO FishstatJ Software
|2017/07/18
|ALN, MKH
|-
|SeriesAgFishImportValueFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishImpt
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAgFishInlandProd
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishMarineCatch
|<nowiki>http://earthtrends.wri.org/text/coastal-marine/variables.html</nowiki>
|2011/12/01
|CN
|-
|SeriesAgFishProdAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishProdAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdAquaInland
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishProdAquaMarine
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishProdBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdCatchInland
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishProdCatchMarine
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishProdCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishProdMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishProductionFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishProteinPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishProteinPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishProteinPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishProteinPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishStockVarAqAnimalsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarAqPlantsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarBodyOilFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarCephalopodsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarCrustaceansFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarDemersalFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGFishStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarFreshwaterFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarLiverOilFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarMarineFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishStockVarMolluscsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarPelagicFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishtoFeedAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoFeedFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoFeedFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishtoFeedMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishtoFoodAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoFoodFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoFoodFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishtoOtherUtilAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoOtherUtilFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoOtherUtilFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishtoOtherUtilMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoSeedFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoSeedFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFoodEx%MerchEx
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgFoodIm%MerchIm
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgFoodPriceIndex
|WDI CD 05
|2005/06/01
|
|-
|SeriesAgFoodProductIndex
|World Bank World Development Indicators 2008
|2008/08/28
|Food production index covers food crops that are considered edible and that contain nutrients. Coffee and tea are excluded because, although edible, they have no nutritive value
|-
|SeriesAgFruitEx
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitIm
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruVegEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFruVegIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAggBlanks
|JRS
|2012/01/23
|Created by JRS 2012/01/23
|-
|SeriesAgGrainLiv%GrainCon
|WRI online 2012
|2011/12/01
|Blended with latest data. The country list for the online data ends with Serbia and Montenegro; CN
|-
|SeriesAgLifestockProdIndex
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgMachTracper100H
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAGMeatCalPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatDomesticSupplyFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatExportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatExportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatExportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatFatPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAGMeatFoodSupplyPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatImportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatImportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatImportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAgMeatOtherProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatProteinPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGMeattoFeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoFoodFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoFoodManuFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoOtherUtilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoSeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoWasteFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMuttonandGoatMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPigMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPoultryMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgProdCereals
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdCocoaBeans
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdCoffeeGreen
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdEggs
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdFiberCrops
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdFruitsExclMelons
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdMeat
|FAO FAOstat; <nowiki>http://faostat.fao.org/site/569/default.aspx#ancor</nowiki>
|2018/02/22
|HF,EB
|-
|SeriesAgProdMilk
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdOilCrops
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdPulses
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdRootsTub
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdSugarCane
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdTreenuts
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdVegMel
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgPulsesEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPulsesIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgRawEx%MerchEx
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgRawIm%MerchIm
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgVegetableSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegetableWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegEx
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegIm
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAid%Untied
|Millennium Indicators Database, UN <nowiki>http://unstats.un.org/unsd/mi/mi_goals.asp</nowiki>
|2004/10/01
|
|-
|SeriesAidCerealDon
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAidCerealRec
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAidDACEd%GDP
|OECD; <nowiki>http://stats.oecd.org/</nowiki>
|2016/03/22
|BV; JM; data converted from current dollar to % of GDP; had to leave out data points due to unavailabiity of GDP data
|-
|SeriesAidDon%GNI
|United Nations Statistics Division available at: <nowiki>http://mdgs.un.org/unsd/mdg/SeriesDetail.aspx?srid=568&crid=</nowiki>
|2017/02/17
|AN;JM
|-
|SeriesAidDonEd%GDP
|OECD
|2015/12/21
|JM, BV, Percent of GDP computed in IFs Project
|-
|SeriesAidDonEdScholar
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidDonLDCs%GNI
|United Nations Statistics Division available at <nowiki>http://mdgs.un.org/unsd/mdg/</nowiki>
|2017/02/17
|AN;JM
|-
|SeriesAidDonSocServ%Total
|Millennium Indicators Database, United Nation's Statistics Division; Available at <nowiki>http://unstats.un.org/unsd/mi/mi_goals.asp</nowiki>
|2005/01/01
|
|-
|SeriesAidEnergyInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidforTradeCommitDonor
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidforTradeCommitRecipient
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidforTradeDisburseDonor
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidforTradeDisburseRecipient
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidHealthcareGross
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidHealthcareNet
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidICTInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidInfrastructure%TotalAid
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidRec
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAidRec%GNI
|WDI BATCH PULL
|2020/08/05
|RG,KBN,KM
|-
|SeriesAidRec%GNIOECD
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecGrant%Total
|WDI BATCH PULL
|2018/12/13
|KBN,AZ
|-
|SeriesAidRecGrant%TotRev
|WDI BATCH PULL 2020
|2020/08/07
|YX
|-
|SeriesAidRecGrants%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecGross%GDP
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAidRecLoanGross%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecLoanNet%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecLoanRepay%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecPerCap
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAidRecRecover%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRoadsInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAIDSDths
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAidtoDevelopingCountriesUSD
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidTotalInfrastructure
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidTotalOECD
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidTotFlowsAgSector
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidWaterSanitation
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidWaterSanitationInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAlternativeSourcesofInformationIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesArmsExp%TotExp
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsExports
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsExportsMonadic%GDP
|WB; SIPRI directly for Palestine, Montenegro, and Taiwan; Pardee calculations
|2022/06/01
|CLP; Unit fix
|-
|SeriesArmsImp%TotImp
|WDI BATCH PULL
|2019/01/18
|KBN,EM
|-
|SeriesArmsImports
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsImportsMonadic%GDP
|WB; SIPRI directly for Palestine, Montenegro, and Taiwan; Pardee calculations
|2022/06/01
|CLP; Unit fix
|-
|SeriesAutomobileSales
|GM IEMA
|
|
|-
|SeriesAvgAgeAtFirstMarriageMen-UN
|UN World Marriage Data 2019
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageMen-WB
|World Bank
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-UN
|UN World Marriage Data 2019
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-UNOECD
|Our World in Data
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-WB
|World Bank
|2022/04/01
|AP
|-
|SeriesAvgLifeExpectancyIHMEForecasts
|IHME
|2019/01/06
|KBN
|-
|SeriesBankActAdult%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesBankATMTotl
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesBankBranchTotl
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesBirthsRegisteredUnder5%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesCalPCap
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesCalPCapAnimal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/06/01
|
|-
|SeriesCarsHigh
|
|
|
|-
|SeriesCarsIntermediate
|
|
|
|-
|SeriesCarsLarge
|
|
|
|-
|SeriesCarsLargeFamilyWagon
|
|
|
|-
|SeriesCarsLowMedium
|
|
|
|-
|SeriesCarsMini
|
|
|
|-
|SeriesCarsSmall
|
|
|
|-
|SeriesCarsSmallFamilyWagon
|
|
|
|-
|SeriesCarsSportHigh
|
|
|
|-
|SeriesCarsSportLow
|
|
|
|-
|SeriesCarsTotal
|
|
|
|-
|SeriesCarsTrucksTotal
|
|
|
|-
|SeriesCarsUpperMedium
|
|
|
|-
|SeriesCBCapitalCont
|Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBCapitalCont10YrMovavg
|Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBGDPgr
|Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBGDPgr10Yravg
|Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBLabQualCont
|Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBLabQuantCont
|Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBLabQuantCont10YrAvg
|Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBR
|World Development Indicators
|2022/03/21
|YX, JD
|-
|SeriesCBTFPTot
|Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCDR
|World Development Indicators
|2022/03/21
|YX, JD
|-
|SeriesChiefExecutiveNolongerElectedVDEM
|Varieties of Democracy
|2019/08/06
|CW,MM,AW
|-
|SeriesChildStuntingPercentWDI
|World Development Indicators
|2022/03/21
|YX; JS
|-
|SeriesCivilLibertiesindexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesCivilSocietyParticipationIndexVDEM
|Varieties of Democracy
|2019/08/08
|BG
|-
|SeriesCleanElectionsIndexVDEM
|Varieties of Democracy
|2019/08/08
|BG
|-
|SeriesCompanyValue%GDP
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesCompetitivenessMicroEcon
|World Economic Forum. <nowiki>http://www.weforum.org/site/homepublic.nsf/Content/Global+Competitiveness+Programme%5CReports%5CGlobal+Competitiveness+Report+2002-2003</nowiki>
|
|
|-
|SeriesCompetitivenessRank
|World Economic Forum. <nowiki>http://www.weforum.org/site/homepublic.nsf/Content/Global+Competitiveness+Programme%5CReports%5CGlobal+Competitiveness+Report+2002-2003</nowiki>
|2005/02/01
|
|-
|SeriesCompetitivenessScore
|World Economic Forum. <nowiki>http://www.weforum.org/en/initiatives/gcp/Global%20Competitiveness%20Report/index.htm</nowiki>
|2010/04/01
|MJS
|-
|SeriesComplianceParisPrinc
|UN SDG Indicators Global Database
|
|CW, Official Indicator, Number of countries with National Human Rights Institutions with (1) no status; (2) no application for accreditation; (3) not fully compliant; (4) in compliance with the Paris Principles
|-
|SeriesConflictandTerrorsimDeathRate
|IHME GBD
|2018/03/19
|KN
|-
|SeriesConflictandTerrorsimpPrevRate
|IHME GBD
|2018/03/19
|KN
|-
|SeriesConflictAreaAffectedUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictDeathsUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictOngoingUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictPeaceYearsUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictPopulationAffectedUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictPopulationShareAffectedUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictProbHegreSSP1
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictProbHegreSSP2
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictProbHegreSSP3
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictProbHegreSSP4
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictProbHegreSSP5
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictStateDeathsUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConsumerPriceIndex
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesConsumFinal%GDP
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesConsumGenGovt%GDP
|World Development Indicators
|2022/04/25
|GE,
|-
|SeriesConsumHHFinal%GDP
|World Development Indicators
|2022/04/25
|GE,
|-
|SeriesConsumptionperCapitaDM
|Pulled from IFs
|2018/02/15
|KN
|-
|SeriesConsumTotal%GDP
|World Development Indicators
|2022/04/25
|GE,
|-
|SeriesCoreCivilSocietyIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesCorpTax%GDPimf
|IMF WoRLD
|2017/03/30
|HF;JM Coutry concordance created for this series IMF WoRLD. Data unable to be pulled as batch.
|-
|SeriesCorruption
|Transparency International www.transparency.org/documents/index.html. Various years
|2012/02/01
|AS;CN
|-
|SeriesCorruptionCPINew
|Transparency International
|2022/04/19
|KG
|-
|SeriesCrimesAssault
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|Until 2002 this data was a part of the Human Development Report, which obtained the information from the ICVS, defunct since 2002;CN
|-
|SeriesCrimesBribery
|Human Development Report 2002
|2011/08/12
|AS; split from SeriesCrimes
|-
|SeriesCrimesDrugper100000
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|CN
|-
|SeriesCrimesHomicper100000
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|CN
|-
|SeriesCrimesKidnapping
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|AT;CN
|-
|SeriesCrimesPrisonersper100000
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|CN
|-
|SeriesCrimesProperty
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|Until 2002 this data was a part of the Human Development Report, which obtained the information from the ICVS, defunct since 2002; CN
|-
|SeriesCrimesRobbery
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|Until 2002 this data was a part of the Human Development Report, which obtained the information from the ICVS, defunct since 2002; CN
|-
|SeriesCrimesSexualAssault
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|Until 2002 this data was a part of the Human Development Report, which obtained the information from the ICVS, defunct since 2002;CN
|-
|SeriesCrimesTotal
|Human Development Report 2002
|2011/08/12
|AS; split from SeriesCrimes
|-
|SeriesCulAfricaDum
|World Value Survey
|
|
|-
|SeriesCulBuddhistDum
|World Value Survey
|
|
|-
|SeriesCulCathDum
|World Value Survey
|
|
|-
|SeriesCulConfucDum
|World Value Survey
|
|
|-
|SeriesCulEngSpeakDum
|World Value Survey
|
|
|-
|SeriesCulExComDum
|World Value Survey
|
|
|-
|SeriesCulHinduDum
|World Value Survey
|
|
|-
|SeriesCulIslamicDum
|World Value Survey
|
|
|-
|SeriesCulLatAmerDum
|World Value Survey
|
|
|-
|SeriesCulOrthDum
|World Value Survey
|
|
|-
|SeriesCulProtDum
|World Value Survey
|
|
|-
|SeriesDeathsper1000IHMEForecasts
|IHME
|2019/01/06
|KBN
|-
|SeriesDeliberativeComponentIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesDeliberativeDemocracyIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesDesalinatedWater
|AQU (AQUASTAT) BATCH PULL
|2019/09/08
|BG
|-
|SeriesDipExIn
|Correlates of War
|2012/01/25
|TL;CN
|-
|SeriesDipExOut
|Correlates of War
|2012/01/25
|TL;CN
|-
|SeriesDiploDiplomacyRelativePercent
|Pardee Center origional research.
|2012/10/09
|DKB
|-
|SeriesDiploDiplomaticConnectionIndex
|Pardee Center origional research.
|2012/10/09
|DKB
|-
|SeriesDiploDistanceToEurope
|
|2012/11/06
|
|-
|SeriesDiploEmbassyIn
|Diplometrics
|2022/04/08
|CLP
|-
|SeriesDiploEmbassyMaxGlobal
|Diplometrics
|2016/08/23
|CLP
|-
|SeriesDiploEmbassyOut
|Diplometrics
|2022/04/08
|CLP
|-
|SeriesDiploEmbassyOutStd
|Pardee Center origional research.
|2012/10/09
|DKB
|-
|SeriesDiploEmbassyStandCountry
|
|2012/10/29
|
|-
|SeriesDiploEmbassyStandGlobal
|
|2012/10/29
|
|-
|SeriesDiploEmbassyTotal
|
|2012/07/18
|
|-
|SeriesDiploIGOMembershipWeightedStd
|Pardee Center origional research.
|2012/10/09
|DKB
|-
|SeriesDiploIGOMemberTotal
|Diplometrics
|2022/06/15
|CLP, Data from Adam
|-
|SeriesDiploIGONetworkedTotal
|
|2012/07/17
|
|-
|SeriesDiploIGONetworkedWeighted
|
|2012/07/17
|
|-
|SeriesDiploIGOWeightedStandCountry
|
|2012/10/29
|
|-
|SeriesDiploIGOWeightedTotal
|Diplometrics
|2022/06/15
|CLP, Data from Adam
|-
|SeriesDiploIGOWeightMax
|Diplometrics
|2016/08/23
|CLP
|-
|SeriesDiploINGOAdvocacy
|Diplometrics
|2017/01/04
|JEM
|-
|SeriesDiploINGOAfiodi
|Diplometrics
|2017/01/04
|JEM
|-
|SeriesDiploINGOAfiodiIn
|Diplometrics
|2017/01/04
|JEM
|-
|SeriesDIPLOINGOdsiaicount
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOdsiaicytotal
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOdsiodicount
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOdsiodicytotal
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDiploINGOFiodi
|Diplometrics
|2017/01/04
|JEM
|-
|SeriesDIPLOINGOfiodicount
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOfiodicytotal
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypecy
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypehi
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypelm
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypelo
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypeum
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOingocount
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOops12count
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOops1count
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOops2count
|Diplometrics
|2020/12/15
|AM; YX
|-
|Table
|Source (LINK)
|Last IFs Update
|Pulled By (Initials)
|-
|AbortJustifPercent
|World Value Survey
|2010/08/01
|
|-
|AuthorbyEduc
|World Value Survey
|
|
|-
|AutonPercent
|World Value Survey
|2010/08/01
|
|-
|DemocBest
|World Value Survey
|
|
|-
|DiploIGOWeightMaxStandardized
|Pardee Center Diplometrics
|2013/04/01
|JDM
|-
|GodImprtPercent
|World Value Survey
|2010/08/01
|
|-
|HappybyEduc
|World Value Survey
|2010/08/01
|
|-
|HappyPercent
|World Value Survey
|2010/08/01
|
|-
|HomoJustifPercent
|World Value Survey
|2010/08/01
|
|-
|MatPMTop
|World Value Survey
|2010/08/01
|
|-
|NationProudPercent
|
|
|
|-
|PMMinMatPercent
|World Value Survey
|
|
|-
|RespectAuthPercent
|World Value Survey
|2010/08/01
|
|-
|Series%boys(15-19)marriedorunion
|UNICEF
|2022/03/03
|KG
|-
|Series%girls(15-19)marriedorunion
|UNICEF
|2022/03/03
|KG
|-
|Series%men(20-24)marriedorunionbefore18
|UNICEF
|2022/03/03
|KG
|-
|Series%women(20-24)marriedorunionbefore15
|UNICEF
|2022/03/03
|KG
|-
|Series%women(20-24)marriedorunionbefore18
|UNICEF
|2022/03/03
|KG
|-
|SeriesAdditivePolyarchyIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesAgBovineMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealsEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealsIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgCerealsYieldperHec
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgCerealWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgConMeat
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2008/05/01
|Converted to million metric tons
|-
|SeriesAGCropCalPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropDomesticSupplyFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropExportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropExportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropExportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropFatPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAGCropFoodSupplyPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropImportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropImportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropImportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAgCropProdIndex
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAGCropProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropProteinPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGCroptoFeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoFoodFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoFoodManuFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoOtherUtilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoSeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropTotEx
|Computed
|
|
|-
|SeriesAgCropTotIm
|Computed Sum
|
|
|-
|SeriesAGCroptoWasteFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFertUse
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgFertUseperHectare
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgFish%Protein
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|
|-
|SeriesAgFishAquaCatchTot
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishAquaInland
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAgFishAquaMarine
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAgFishAquaOther
|FAOSTAT
|2012/03/04
|EWF;CN
|-
|SeriesAgFishAquaProdAqAnimalsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2015/08/20
|N.S
|-
|SeriesAgFishAquaProdAqPlantsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdCephalopodsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdCrustaceansFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdDemersalFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdFreshwaterFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdMarineFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdMolluscsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdOthersFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2015/08/20
|N.S
|-
|SeriesAgFishAquaProdPelagicFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaTotal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|Converted to million metric tons
|-
|SeriesAgFishCalPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishCalPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishCalPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishCalPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCatchProdAqAnimalsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdAqMammalsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdAqPlantsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdCephalopodsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdCrustaceansFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdDemersalFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdFreshwaterFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdMarineFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdMolluscsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdOthersFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2015/08/20
|N.S
|-
|SeriesAgFishCatchProdPelagicFSJ
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishDomesticSupplyAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishDomesticSupplyAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishDomesticSupplyFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishDomesticSupplyFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishDomesticSupplyMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportQuantityFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishExportsAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishExportsAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishExportsFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishExportsFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishExportsMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportVal
|FAO FishstatJ Software
|2017/07/18
|ALN, MKH
|-
|SeriesAgFishExportValueFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishExpt
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishFatPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishFatPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAGFishFatPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishFatPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayMarineFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishFoodSupplyPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishFoodSupplyPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFreshwaterCatch
|<nowiki>http://earthtrends.wri.org/text/coastal-marine/variables.html</nowiki>
|2011/12/01
|CN
|-
|SeriesAgFishImportQuantityFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishImportsAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishImportsFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishImportsFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishImportsMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportVal
|FAO FishstatJ Software
|2017/07/18
|ALN, MKH
|-
|SeriesAgFishImportValueFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishImpt
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAgFishInlandProd
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishMarineCatch
|<nowiki>http://earthtrends.wri.org/text/coastal-marine/variables.html</nowiki>
|2011/12/01
|CN
|-
|SeriesAgFishProdAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishProdAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdAquaInland
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishProdAquaMarine
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishProdBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdCatchInland
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishProdCatchMarine
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishProdCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishProdMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishProductionFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishProteinPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishProteinPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishProteinPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishProteinPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishStockVarAqAnimalsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarAqPlantsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarBodyOilFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarCephalopodsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarCrustaceansFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarDemersalFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGFishStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarFreshwaterFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarLiverOilFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarMarineFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishStockVarMolluscsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarPelagicFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishtoFeedAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoFeedFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoFeedFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishtoFeedMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishtoFoodAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoFoodFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoFoodFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishtoOtherUtilAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoOtherUtilFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoOtherUtilFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishtoOtherUtilMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoSeedFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoSeedFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFoodEx%MerchEx
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgFoodIm%MerchIm
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgFoodPriceIndex
|WDI CD 05
|2005/06/01
|
|-
|SeriesAgFoodProductIndex
|World Bank World Development Indicators 2008
|2008/08/28
|Food production index covers food crops that are considered edible and that contain nutrients. Coffee and tea are excluded because, although edible, they have no nutritive value
|-
|SeriesAgFruitEx
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitIm
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruVegEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFruVegIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAggBlanks
|JRS
|2012/01/23
|Created by JRS 2012/01/23
|-
|SeriesAgGrainLiv%GrainCon
|WRI online 2012
|2011/12/01
|Blended with latest data. The country list for the online data ends with Serbia and Montenegro; CN
|-
|SeriesAgLifestockProdIndex
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgMachTracper100H
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAGMeatCalPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatDomesticSupplyFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatExportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatExportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatExportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatFatPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAGMeatFoodSupplyPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatImportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatImportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatImportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAgMeatOtherProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatProteinPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGMeattoFeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoFoodFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoFoodManuFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoOtherUtilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoSeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoWasteFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMuttonandGoatMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPigMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPoultryMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgProdCereals
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdCocoaBeans
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdCoffeeGreen
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdEggs
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdFiberCrops
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdFruitsExclMelons
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdMeat
|FAO FAOstat; <nowiki>http://faostat.fao.org/site/569/default.aspx#ancor</nowiki>
|2018/02/22
|HF,EB
|-
|SeriesAgProdMilk
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdOilCrops
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdPulses
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdRootsTub
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdSugarCane
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdTreenuts
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdVegMel
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgPulsesEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPulsesIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgRawEx%MerchEx
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgRawIm%MerchIm
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgVegetableSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegetableWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegEx
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegIm
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAid%Untied
|Millennium Indicators Database, UN <nowiki>http://unstats.un.org/unsd/mi/mi_goals.asp</nowiki>
|2004/10/01
|
|-
|SeriesAidCerealDon
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAidCerealRec
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAidDACEd%GDP
|OECD; <nowiki>http://stats.oecd.org/</nowiki>
|2016/03/22
|BV; JM; data converted from current dollar to % of GDP; had to leave out data points due to unavailabiity of GDP data
|-
|SeriesAidDon%GNI
|United Nations Statistics Division available at: <nowiki>http://mdgs.un.org/unsd/mdg/SeriesDetail.aspx?srid=568&crid=</nowiki>
|2017/02/17
|AN;JM
|-
|SeriesAidDonEd%GDP
|OECD
|2015/12/21
|JM, BV, Percent of GDP computed in IFs Project
|-
|SeriesAidDonEdScholar
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidDonLDCs%GNI
|United Nations Statistics Division available at <nowiki>http://mdgs.un.org/unsd/mdg/</nowiki>
|2017/02/17
|AN;JM
|-
|SeriesAidDonSocServ%Total
|Millennium Indicators Database, United Nation's Statistics Division; Available at <nowiki>http://unstats.un.org/unsd/mi/mi_goals.asp</nowiki>
|2005/01/01
|
|-
|SeriesAidEnergyInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidforTradeCommitDonor
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidforTradeCommitRecipient
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidforTradeDisburseDonor
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidforTradeDisburseRecipient
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidHealthcareGross
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidHealthcareNet
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidICTInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidInfrastructure%TotalAid
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidRec
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAidRec%GNI
|WDI BATCH PULL
|2020/08/05
|RG,KBN,KM
|-
|SeriesAidRec%GNIOECD
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecGrant%Total
|WDI BATCH PULL
|2018/12/13
|KBN,AZ
|-
|SeriesAidRecGrant%TotRev
|WDI BATCH PULL 2020
|2020/08/07
|YX
|-
|SeriesAidRecGrants%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecGross%GDP
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAidRecLoanGross%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecLoanNet%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecLoanRepay%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecPerCap
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAidRecRecover%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRoadsInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAIDSDths
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAidtoDevelopingCountriesUSD
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidTotalInfrastructure
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidTotalOECD
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidTotFlowsAgSector
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidWaterSanitation
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidWaterSanitationInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAlternativeSourcesofInformationIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesArmsExp%TotExp
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsExports
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsExportsMonadic%GDP
|WB; SIPRI directly for Palestine, Montenegro, and Taiwan; Pardee calculations
|2022/06/01
|CLP; Unit fix
|-
|SeriesArmsImp%TotImp
|WDI BATCH PULL
|2019/01/18
|KBN,EM
|-
|SeriesArmsImports
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsImportsMonadic%GDP
|WB; SIPRI directly for Palestine, Montenegro, and Taiwan; Pardee calculations
|2022/06/01
|CLP; Unit fix
|-
|SeriesAutomobileSales
|GM IEMA
|
|
|-
|SeriesAvgAgeAtFirstMarriageMen-UN
|UN World Marriage Data 2019
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageMen-WB
|World Bank
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-UN
|UN World Marriage Data 2019
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-UNOECD
|Our World in Data
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-WB
|World Bank
|2022/04/01
|AP
|-
|SeriesAvgLifeExpectancyIHMEForecasts
|IHME
|2019/01/06
|KBN
|-
|SeriesBankActAdult%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesBankATMTotl
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesBankBranchTotl
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesBirthsRegisteredUnder5%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesCalPCap
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesCalPCapAnimal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/06/01
|
|-
|SeriesCarsHigh
|
|
|
|-
|SeriesCarsIntermediate
|
|
|
|-
|SeriesCarsLarge
|
|
|
|-
|SeriesCarsLargeFamilyWagon
|
|
|
|-
|SeriesCarsLowMedium
|
|
|
|-
|SeriesCarsMini
|
|
|
|-
|SeriesCarsSmall
|
|
|
|-
|SeriesCarsSmallFamilyWagon
|
|
|
|-
|SeriesCarsSportHigh
|
|
|
|-
|SeriesCarsSportLow
|
|
|
|-
|SeriesCarsTotal
|
|
|
|-
|SeriesCarsTrucksTotal
|
|
|
|-
|SeriesCarsUpperMedium
|
|
|
|-
|SeriesCBCapitalCont
|Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBCapitalCont10YrMovavg
|Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBGDPgr
|Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBGDPgr10Yravg
|Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBLabQualCont
|Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBLabQuantCont
|Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBLabQuantCont10YrAvg
|Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|}
{| class="wikitable"
|SeriesCBR
|World Development Indicators
|2022/03/21
|YX, JD
|-
|SeriesCBTFPTot
|Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCDR
|World Development Indicators
|2022/03/21
|YX, JD
|-
|SeriesChiefExecutiveNolongerElectedVDEM
|Varieties of Democracy
|2019/08/06
|CW,MM,AW
|-
|SeriesChildStuntingPercentWDI
|World Development Indicators
|2022/03/21
|YX; JS
|-
|SeriesCivilLibertiesindexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesCivilSocietyParticipationIndexVDEM
|Varieties of Democracy
|2019/08/08
|BG
|-
|SeriesCleanElectionsIndexVDEM
|Varieties of Democracy
|2019/08/08
|BG
|-
|SeriesCompanyValue%GDP
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesCompetitivenessMicroEcon
|World Economic Forum. <nowiki>http://www.weforum.org/site/homepublic.nsf/Content/Global+Competitiveness+Programme%5CReports%5CGlobal+Competitiveness+Report+2002-2003</nowiki>
|
|
|-
|SeriesCompetitivenessRank
|World Economic Forum. <nowiki>http://www.weforum.org/site/homepublic.nsf/Content/Global+Competitiveness+Programme%5CReports%5CGlobal+Competitiveness+Report+2002-2003</nowiki>
|2005/02/01
|
|-
|SeriesCompetitivenessScore
|World Economic Forum. <nowiki>http://www.weforum.org/en/initiatives/gcp/Global%20Competitiveness%20Report/index.htm</nowiki>
|2010/04/01
|MJS
|-
|SeriesComplianceParisPrinc
|UN SDG Indicators Global Database
|
|CW, Official Indicator, Number of countries with National Human Rights Institutions with (1) no status; (2) no application for accreditation; (3) not fully compliant; (4) in compliance with the Paris Principles
|-
|SeriesConflictandTerrorsimDeathRate
|IHME GBD
|2018/03/19
|KN
|-
|SeriesConflictandTerrorsimpPrevRate
|IHME GBD
|2018/03/19
|KN
|-
|SeriesConflictAreaAffectedUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictDeathsUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictOngoingUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictPeaceYearsUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictPopulationAffectedUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictPopulationShareAffectedUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConflictProbHegreSSP1
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictProbHegreSSP2
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictProbHegreSSP3
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictProbHegreSSP4
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictProbHegreSSP5
|Taken from paper by Havard Hegre (2016)
|2021/07/30
|VY;
|-
|SeriesConflictStateDeathsUCDP
|World Bank
|2019/08/16
|JD
|-
|SeriesConsumerPriceIndex
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesConsumFinal%GDP
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesConsumGenGovt%GDP
|World Development Indicators
|2022/04/25
|GE,
|-
|SeriesConsumHHFinal%GDP
|World Development Indicators
|2022/04/25
|GE,
|-
|SeriesConsumptionperCapitaDM
|Pulled from IFs
|2018/02/15
|KN
|-
|SeriesConsumTotal%GDP
|World Development Indicators
|2022/04/25
|GE,
|-
|SeriesCoreCivilSocietyIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesCorpTax%GDPimf
|IMF WoRLD
|2017/03/30
|HF;JM Coutry concordance created for this series IMF WoRLD. Data unable to be pulled as batch.
|-
|SeriesCorruption
|Transparency International www.transparency.org/documents/index.html. Various years
|2012/02/01
|AS;CN
|-
|SeriesCorruptionCPINew
|Transparency International
|2022/04/19
|KG
|-
|SeriesCrimesAssault
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|Until 2002 this data was a part of the Human Development Report, which obtained the information from the ICVS, defunct since 2002;CN
|-
|SeriesCrimesBribery
|Human Development Report 2002
|2011/08/12
|AS; split from SeriesCrimes
|-
|SeriesCrimesDrugper100000
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|CN
|-
|SeriesCrimesHomicper100000
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|CN
|-
|SeriesCrimesKidnapping
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|AT;CN
|-
|SeriesCrimesPrisonersper100000
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|CN
|-
|SeriesCrimesProperty
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|Until 2002 this data was a part of the Human Development Report, which obtained the information from the ICVS, defunct since 2002; CN
|-
|SeriesCrimesRobbery
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|Until 2002 this data was a part of the Human Development Report, which obtained the information from the ICVS, defunct since 2002; CN
|-
|SeriesCrimesSexualAssault
|UNODC United Nations Survey of Crime Trends and Operations of Criminal Justice Systems (UN-CTS 12)
|2012/01/10
|Until 2002 this data was a part of the Human Development Report, which obtained the information from the ICVS, defunct since 2002;CN
|-
|SeriesCrimesTotal
|Human Development Report 2002
|2011/08/12
|AS; split from SeriesCrimes
|-
|SeriesCulAfricaDum
|World Value Survey
|
|
|-
|SeriesCulBuddhistDum
|World Value Survey
|
|
|-
|SeriesCulCathDum
|World Value Survey
|
|
|-
|SeriesCulConfucDum
|World Value Survey
|
|
|-
|SeriesCulEngSpeakDum
|World Value Survey
|
|
|-
|SeriesCulExComDum
|World Value Survey
|
|
|-
|SeriesCulHinduDum
|World Value Survey
|
|
|-
|SeriesCulIslamicDum
|World Value Survey
|
|
|-
|SeriesCulLatAmerDum
|World Value Survey
|
|
|-
|SeriesCulOrthDum
|World Value Survey
|
|
|-
|SeriesCulProtDum
|World Value Survey
|
|
|-
|SeriesDeathsper1000IHMEForecasts
|IHME
|2019/01/06
|KBN
|-
|SeriesDeliberativeComponentIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesDeliberativeDemocracyIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesDesalinatedWater
|AQU (AQUASTAT) BATCH PULL
|2019/09/08
|BG
|-
|SeriesDipExIn
|Correlates of War
|2012/01/25
|TL;CN
|-
|SeriesDipExOut
|Correlates of War
|2012/01/25
|TL;CN
|-
|SeriesDiploDiplomacyRelativePercent
|Pardee Center origional research.
|2012/10/09
|DKB
|-
|SeriesDiploDiplomaticConnectionIndex
|Pardee Center origional research.
|2012/10/09
|DKB
|-
|SeriesDiploDistanceToEurope
|
|2012/11/06
|
|-
|SeriesDiploEmbassyIn
|Diplometrics
|2022/04/08
|CLP
|-
|SeriesDiploEmbassyMaxGlobal
|Diplometrics
|2016/08/23
|CLP
|-
|SeriesDiploEmbassyOut
|Diplometrics
|2022/04/08
|CLP
|-
|SeriesDiploEmbassyOutStd
|Pardee Center origional research.
|2012/10/09
|DKB
|-
|SeriesDiploEmbassyStandCountry
|
|2012/10/29
|
|-
|SeriesDiploEmbassyStandGlobal
|
|2012/10/29
|
|-
|SeriesDiploEmbassyTotal
|
|2012/07/18
|
|-
|SeriesDiploIGOMembershipWeightedStd
|Pardee Center origional research.
|2012/10/09
|DKB
|-
|SeriesDiploIGOMemberTotal
|Diplometrics
|2022/06/15
|CLP, Data from Adam
|-
|SeriesDiploIGONetworkedTotal
|
|2012/07/17
|
|-
|SeriesDiploIGONetworkedWeighted
|
|2012/07/17
|
|-
|SeriesDiploIGOWeightedStandCountry
|
|2012/10/29
|
|-
|SeriesDiploIGOWeightedTotal
|Diplometrics
|2022/06/15
|CLP, Data from Adam
|-
|SeriesDiploIGOWeightMax
|Diplometrics
|2016/08/23
|CLP
|-
|SeriesDiploINGOAdvocacy
|Diplometrics
|2017/01/04
|JEM
|-
|SeriesDiploINGOAfiodi
|Diplometrics
|2017/01/04
|JEM
|-
|SeriesDiploINGOAfiodiIn
|Diplometrics
|2017/01/04
|JEM
|-
|SeriesDIPLOINGOdsiaicount
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOdsiaicytotal
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOdsiodicount
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOdsiodicytotal
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDiploINGOFiodi
|Diplometrics
|2017/01/04
|JEM
|-
|SeriesDIPLOINGOfiodicount
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOfiodicytotal
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypecy
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypehi
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypelm
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypelo
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOinctypeum
|Diplometrics
|2020/07/16
|AM; YX
|-
|SeriesDIPLOINGOingocount
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOops12count
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOops1count
|Diplometrics
|2020/12/15
|AM; YX
|-
|SeriesDIPLOINGOops2count
|Diplometrics
|2020/12/15
|AM; YX
|-
|Table
|Source (LINK)
|Last IFs Update
|Pulled By (Initials)
|-
|AbortJustifPercent
|World Value Survey
|2010/08/01
|
|-
|AuthorbyEduc
|World Value Survey
|
|
|-
|AutonPercent
|World Value Survey
|2010/08/01
|
|-
|DemocBest
|World Value Survey
|
|
|-
|DiploIGOWeightMaxStandardized
|Pardee Center Diplometrics
|2013/04/01
|JDM
|-
|GodImprtPercent
|World Value Survey
|2010/08/01
|
|-
|HappybyEduc
|World Value Survey
|2010/08/01
|
|-
|HappyPercent
|World Value Survey
|2010/08/01
|
|-
|HomoJustifPercent
|World Value Survey
|2010/08/01
|
|-
|MatPMTop
|World Value Survey
|2010/08/01
|
|-
|NationProudPercent
|
|
|
|-
|PMMinMatPercent
|World Value Survey
|
|
|-
|RespectAuthPercent
|World Value Survey
|2010/08/01
|
|-
|Series%boys(15-19)marriedorunion
|UNICEF
|2022/03/03
|KG
|-
|Series%girls(15-19)marriedorunion
|UNICEF
|2022/03/03
|KG
|-
|Series%men(20-24)marriedorunionbefore18
|UNICEF
|2022/03/03
|KG
|-
|Series%women(20-24)marriedorunionbefore15
|UNICEF
|2022/03/03
|KG
|-
|Series%women(20-24)marriedorunionbefore18
|UNICEF
|2022/03/03
|KG
|-
|SeriesAdditivePolyarchyIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesAgBovineMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealsEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealsIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCerealSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgCerealsYieldperHec
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgCerealWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgConMeat
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2008/05/01
|Converted to million metric tons
|-
|SeriesAGCropCalPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropDomesticSupplyFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropExportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropExportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropExportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropFatPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAGCropFoodSupplyPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropImportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGCropImportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropImportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAgCropProdIndex
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAGCropProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropProteinPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCropStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGCroptoFeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoFoodFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoFoodManuFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoOtherUtilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGCroptoSeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgCropTotEx
|Computed
|
|
|-
|SeriesAgCropTotIm
|Computed Sum
|
|
|-
|SeriesAGCroptoWasteFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFertUse
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgFertUseperHectare
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgFish%Protein
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|
|-
|SeriesAgFishAquaCatchTot
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishAquaInland
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAgFishAquaMarine
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAgFishAquaOther
|FAOSTAT
|2012/03/04
|EWF;CN
|-
|SeriesAgFishAquaProdAqAnimalsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2015/08/20
|N.S
|-
|SeriesAgFishAquaProdAqPlantsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdCephalopodsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdCrustaceansFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdDemersalFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdFreshwaterFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdMarineFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaProdMolluscsFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishAquaProdOthersFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2015/08/20
|N.S
|-
|SeriesAgFishAquaProdPelagicFSJ
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishAquaTotal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|Converted to million metric tons
|-
|SeriesAgFishCalPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishCalPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishCalPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishCalPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCalPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishCatchProdAqAnimalsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdAqMammalsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdAqPlantsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdCephalopodsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdCrustaceansFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdDemersalFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdFreshwaterFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdMarineFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdMolluscsFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishCatchProdOthersFSJ
|FAO FishstatJ software, Global Catch Production Quantity data
|2015/08/20
|N.S
|-
|SeriesAgFishCatchProdPelagicFSJ
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishDomesticSupplyAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishDomesticSupplyAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishDomesticSupplyFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishDomesticSupplyFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishDomesticSupplyMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishDomesticSupplyPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportQuantityFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishExportsAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishExportsAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishExportsFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishExportsFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishExportsMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportsPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishExportVal
|FAO FishstatJ Software
|2017/07/18
|ALN, MKH
|-
|SeriesAgFishExportValueFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishExpt
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishFatPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishFatPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAGFishFatPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishFatPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayMarineFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFatPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2017/05/10
|KN;JM
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishFoodSupplyPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishFoodSupplyPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishFoodSupplyPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFoodSupplyPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishFreshwaterCatch
|<nowiki>http://earthtrends.wri.org/text/coastal-marine/variables.html</nowiki>
|2011/12/01
|CN
|-
|SeriesAgFishImportQuantityFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishImportsAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishImportsFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishImportsFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishImportsMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportsPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishImportVal
|FAO FishstatJ Software
|2017/07/18
|ALN, MKH
|-
|SeriesAgFishImportValueFAOTrade
|FAO, FishstatJ
|2015/07/02
|SDT
|-
|SeriesAgFishImpt
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAgFishInlandProd
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2009/07/25
|
|-
|SeriesAgFishMarineCatch
|<nowiki>http://earthtrends.wri.org/text/coastal-marine/variables.html</nowiki>
|2011/12/01
|CN
|-
|SeriesAgFishProdAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishProdAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdAquaInland
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishProdAquaMarine
|FAO FishstatJ software, Global Aquaculture Production Quantity data
|2017/07/13
|ALN, MKH
|-
|SeriesAgFishProdBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdCatchInland
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishProdCatchMarine
|FAO FishstatJ software, Global Catch Production Quantity Data
|2017/07/14
|ALN, MKH
|-
|SeriesAgFishProdCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishProdMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProdPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishProductionFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishProteinPerCapPerDayAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishProteinPerCapPerDayAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishProteinPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishProteinPerCapPerDayFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishProteinPerCapPerDayPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishStockVarAqAnimalsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarAqPlantsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarBodyOilFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarCephalopodsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarCrustaceansFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarDemersalFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGFishStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarFreshwaterFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarLiverOilFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarMarineFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishStockVarMolluscsFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishStockVarPelagicFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAgFishtoFeedAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoFeedFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoFeedFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishtoFeedMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFeedPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishtoFoodAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoFoodFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoFoodFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoFoodPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilAqMammalsFAO
|FAOSTAT Food Balance Sheets
|2015/08/19
|N.S
|-
|SeriesAgFishtoOtherUtilAqPlantsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilBodyOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoOtherUtilFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoOtherUtilFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilLiverOilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilMealFAO
|FAOSTAT
|2015/08/20
|N.S
|-
|SeriesAgFishtoOtherUtilMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoOtherUtilPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedAqAnimalsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedCephalopodsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedCrustaceansFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedDemersalFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGFishtoSeedFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAgFishtoSeedFreshwaterFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedMarineFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedMolluscsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFishtoSeedPelagicFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFoodEx%MerchEx
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgFoodIm%MerchIm
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgFoodPriceIndex
|WDI CD 05
|2005/06/01
|
|-
|SeriesAgFoodProductIndex
|World Bank World Development Indicators 2008
|2008/08/28
|Food production index covers food crops that are considered edible and that contain nutrients. Coffee and tea are excluded because, although edible, they have no nutritive value
|-
|SeriesAgFruitEx
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitIm
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruitWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgFruVegEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgFruVegIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAggBlanks
|JRS
|2012/01/23
|Created by JRS 2012/01/23
|-
|SeriesAgGrainLiv%GrainCon
|WRI online 2012
|2011/12/01
|Blended with latest data. The country list for the online data ends with Serbia and Montenegro; CN
|-
|SeriesAgLifestockProdIndex
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAgMachTracper100H
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAGMeatCalPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatDomesticSupplyFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatExportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatExportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatExportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatFatPerCapPerDayFAO
|FAO Food Balance Sheets
|2017/05/09
|KN,AJM,HF, Aggregation rules on Wiki for each series
|-
|SeriesAGMeatFoodSupplyPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatImportQuantityFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAGMeatImportsFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMeatImportValueFAOTrade
|FAOSTAT, Trade Domain
|2018/02/22
|HF,EB
|-
|SeriesAgMeatOtherProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatProteinPerCapPerDayFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeatStockVarFAO
|FAO BATCH PULL
|2021/12/29
|KS, GE
|-
|SeriesAGMeattoFeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoFoodFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoFoodManuFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoOtherUtilFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoSeedFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAGMeattoWasteFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgMuttonandGoatMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPigMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPoultryMeatProductionFAO
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgProdCereals
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdCocoaBeans
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdCoffeeGreen
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdEggs
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdFiberCrops
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdFruitsExclMelons
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdMeat
|FAO FAOstat; <nowiki>http://faostat.fao.org/site/569/default.aspx#ancor</nowiki>
|2018/02/22
|HF,EB
|-
|SeriesAgProdMilk
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdOilCrops
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdPulses
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdRootsTub
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdSugarCane
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdTreenuts
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgProdVegMel
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesAgPulsesEx
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgPulsesIm
|FAO BATCH PULL
|2022/01/14
|KS
|-
|SeriesAgRawEx%MerchEx
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgRawIm%MerchIm
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAgVegetableSupply
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegetableWaste
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegEx
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAgVegIm
|FAO BATCH PULL
|2017/05/28
|KN,HF,LW
|-
|SeriesAid%Untied
|Millennium Indicators Database, UN <nowiki>http://unstats.un.org/unsd/mi/mi_goals.asp</nowiki>
|2004/10/01
|
|-
|SeriesAidCerealDon
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAidCerealRec
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2012/03/04
|EWF;CN
|-
|SeriesAidDACEd%GDP
|OECD; <nowiki>http://stats.oecd.org/</nowiki>
|2016/03/22
|BV; JM; data converted from current dollar to % of GDP; had to leave out data points due to unavailabiity of GDP data
|-
|SeriesAidDon%GNI
|United Nations Statistics Division available at: <nowiki>http://mdgs.un.org/unsd/mdg/SeriesDetail.aspx?srid=568&crid=</nowiki>
|2017/02/17
|AN;JM
|-
|SeriesAidDonEd%GDP
|OECD
|2015/12/21
|JM, BV, Percent of GDP computed in IFs Project
|-
|SeriesAidDonEdScholar
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidDonLDCs%GNI
|United Nations Statistics Division available at <nowiki>http://mdgs.un.org/unsd/mdg/</nowiki>
|2017/02/17
|AN;JM
|-
|SeriesAidDonSocServ%Total
|Millennium Indicators Database, United Nation's Statistics Division; Available at <nowiki>http://unstats.un.org/unsd/mi/mi_goals.asp</nowiki>
|2005/01/01
|
|-
|SeriesAidEnergyInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidforTradeCommitDonor
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidforTradeCommitRecipient
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidforTradeDisburseDonor
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidforTradeDisburseRecipient
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesAidHealthcareGross
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidHealthcareNet
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidICTInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidInfrastructure%TotalAid
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidRec
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAidRec%GNI
|WDI BATCH PULL
|2020/08/05
|RG,KBN,KM
|-
|SeriesAidRec%GNIOECD
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecGrant%Total
|WDI BATCH PULL
|2018/12/13
|KBN,AZ
|-
|SeriesAidRecGrant%TotRev
|WDI BATCH PULL 2020
|2020/08/07
|YX
|-
|SeriesAidRecGrants%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecGross%GDP
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesAidRecLoanGross%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecLoanNet%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecLoanRepay%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRecPerCap
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesAidRecRecover%GNI
|OECDStat and World Bank and OECD GNI estimates (current US)
|2022/06/06
|YX
|-
|SeriesAidRoadsInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAIDSDths
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2010/11/23
|EWF
|-
|SeriesAidtoDevelopingCountriesUSD
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidTotalInfrastructure
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidTotalOECD
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAidTotFlowsAgSector
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidWaterSanitation
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesAidWaterSanitationInfrastructure
|OECD
|2011/04/01
|MJE; MJE?JM asked for exact source
|-
|SeriesAlternativeSourcesofInformationIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesArmsExp%TotExp
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsExports
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsExportsMonadic%GDP
|WB; SIPRI directly for Palestine, Montenegro, and Taiwan; Pardee calculations
|2022/06/01
|CLP; Unit fix
|-
|SeriesArmsImp%TotImp
|WDI BATCH PULL
|2019/01/18
|KBN,EM
|-
|SeriesArmsImports
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesArmsImportsMonadic%GDP
|WB; SIPRI directly for Palestine, Montenegro, and Taiwan; Pardee calculations
|2022/06/01
|CLP; Unit fix
|-
|SeriesAutomobileSales
|GM IEMA
|
|
|-
|SeriesAvgAgeAtFirstMarriageMen-UN
|UN World Marriage Data 2019
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageMen-WB
|World Bank
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-UN
|UN World Marriage Data 2019
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-UNOECD
|Our World in Data
|2022/04/01
|AP
|-
|SeriesAvgAgeAtFirstMarriageWomen-WB
|World Bank
|2022/04/01
|AP
|-
|SeriesAvgLifeExpectancyIHMEForecasts
|IHME
|2019/01/06
|KBN
|-
|SeriesBankActAdult%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesBankATMTotl
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesBankBranchTotl
|UN SDG Indicators Global Database
|2017/08/04
|MH, RG, CW, official indicator
|-
|SeriesBirthsRegisteredUnder5%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesCalPCap
|FAO BATCH PULL
|2018/02/12
|HF,EB
|-
|SeriesCalPCapAnimal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/06/01
|
|-
|SeriesCarsHigh
|
|
|
|-
|SeriesCarsIntermediate
|
|
|
|-
|SeriesCarsLarge
|
|
|
|-
|SeriesCarsLargeFamilyWagon
|
|
|
|-
|SeriesCarsLowMedium
|
|
|
|-
|SeriesCarsMini
|
|
|
|-
|SeriesCarsSmall
|
|
|
|-
|SeriesCarsSmallFamilyWagon
|
|
|
|-
|SeriesCarsSportHigh
|
|
|
|-
|SeriesCarsSportLow
|
|
|
|-
|SeriesCarsTotal
|
|
|
|-
|SeriesCarsTrucksTotal
|
|
|
|-
|SeriesCarsUpperMedium
|
|
|
|-
|SeriesCBCapitalCont
|Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBCapitalCont10YrMovavg
|Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBGDPgr
|Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBGDPgr10Yravg
|Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesCBLabQualCont
|Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBLabQuantCont
|Computed for Productivity Project with Data from Conference Board
|2018/10/29
|KBN
|-
|SeriesCBLabQuantCont10YrAvg
|Computed for Productivity Project with Data from Conference Board
|2018/11/25
|KBN
|-
|SeriesEdQualADJ1F1
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ1F2
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ1G1
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ1G2
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ1M1
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ1M2
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ1R1
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ1R2
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ1U1
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ1U2
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ2F1
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ2F2
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ2G1
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ2G2
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ2M1
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ2M2
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ2R1
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ2R2
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ2U1
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualADJ2U2
|<nowiki>http://www.beta-umr7522.fr/Datasets</nowiki>
|2015/01/29
|JEM
|-
|SeriesEdQualAdultsAg15Total
|IFs pre-proc estimation
|2018/06/03
|mti; from IFs
|-
|SeriesEDQualMeanScorePrimaryFemale
|An Updated Global Dataset on Education Quality (1965-2015)
|2017/11/27
|JD,EB
|-
|SeriesEDQualMeanScorePrimaryMale
|An Updated Global Dataset on Education Quality (1965-2015)
|2017/11/27
|JD,EB
|-
|SeriesEDQualMeanScorePrimaryTotal
|An Updated Global Dataset on Education Quality (1965-2015)
|2017/11/27
|JD,EB
|-
|SeriesEDQualMeanScoreSecondaryFemale
|An Updated Global Dataset on Education Quality (1965-2015)
|2017/11/27
|JD,EB
|-
|SeriesEDQualMeanScoreSecondaryMale
|An Updated Global Dataset on Education Quality (1965-2015)
|2017/11/27
|JD,EB
|-
|SeriesEDQualMeanScoreSecondaryTotal
|An Updated Global Dataset on Education Quality (1965-2015)
|2017/11/27
|JD,EB
|-
|SeriesEdQualPIRLSReadingBot25%
|<nowiki>http://isc.bc.edu/PDF/P06_IR_Ch2.pdf</nowiki>
|2008/02/01
|
|-
|SeriesEdQualPIRLSReadingFemales
|<nowiki>http://timssandpirls.bc.edu/pirls2011/international-results-pirls.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualPIRLSReadingMales
|<nowiki>http://timssandpirls.bc.edu/pirls2011/international-results-pirls.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualPIRLSReadingMark400%
|<nowiki>http://timssandpirls.bc.edu/pirls2011/international-results-pirls.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualPIRLSReadingMark475%
|<nowiki>http://timssandpirls.bc.edu/pirls2011/international-results-pirls.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualPIRLSReadingMark550%
|<nowiki>http://timssandpirls.bc.edu/pirls2011/international-results-pirls.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualPIRLSReadingMark625%
|<nowiki>http://timssandpirls.bc.edu/pirls2011/international-results-pirls.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualPIRLSReadingTop10%
|<nowiki>http://isc.bc.edu/PDF/P06_IR_Ch2.pdf</nowiki>
|2008/02/01
|
|-
|SeriesEdQualPIRLSReadingTop25%
|<nowiki>http://isc.bc.edu/PDF/P06_IR_Ch2.pdf</nowiki>
|2008/02/01
|
|-
|SeriesEdQualPIRLSReadingTop50%
|<nowiki>http://isc.bc.edu/PDF/P06_IR_Ch2.pdf</nowiki>
|2008/02/01
|
|-
|SeriesEdQualPIRLSReadingTotal
|<nowiki>http://isc.bc.edu/PDF/P06_IR_Ch2.pdf</nowiki>
|2008/02/01
|
|-
|SeriesEdQualPISAMathFemales
|OECD, Programme for International Student Assessment, <nowiki>http://pisadata.acer.edu.au/2006</nowiki>
|2013/12/13
|DAB (vetter); JEM
|-
|SeriesEdQualPISAMathMales
|OECD, Programme for International Student Assessment, <nowiki>http://pisadata.acer.edu.au/2006</nowiki>
|2013/12/13
|DAB (vetter); JEM
|-
|SeriesEdQualPISAMathTotal
|OECD, Programme for International Student Assessment, <nowiki>http://pisadata.acer.edu.au/2006</nowiki>
|2013/12/13
|DAB (vetter); JEM
|-
|SeriesEdQualPISAMathTotalWCI
|World Competitiveness Yearbook 2013, IMD (Penrose Sub)
|2013/05/21
|GE;CN
|-
|SeriesEdQualPISAReadingFemales
|OECD, Programme for International Student Assessment, <nowiki>http://pisadata.acer.edu.au/2006</nowiki>
|2013/12/13
|DAB (vetter); JEM
|-
|SeriesEdQualPISAReadingMales
|OECD, Programme for International Student Assessment, <nowiki>http://pisadata.acer.edu.au/2006</nowiki>
|2013/12/13
|DAB (vetter); JEM
|-
|SeriesEdQualPISAReadingTotal
|OECD, Programme for International Student Assessment, <nowiki>http://pisadata.acer.edu.au/2006</nowiki>
|2013/12/13
|DAB (vetter); JEM
|-
|SeriesEdQualPISAScienceFemales
|OECD, Programme for International Student Assessment, <nowiki>http://pisadata.acer.edu.au/2006</nowiki>
|2013/12/13
|DAB (vetter); JEM
|-
|SeriesEdQualPISAScienceMales
|OECD, Programme for International Student Assessment, <nowiki>http://pisadata.acer.edu.au/2006</nowiki>
|2013/12/13
|DAB (vetter); JEM
|-
|SeriesEdQualPISAScienceTotal
|OECD, Programme for International Student Assessment, <nowiki>http://pisadata.acer.edu.au/2006</nowiki>
|2013/12/13
|DAB (vetter); JEM
|-
|SeriesEdQualPISAScienceTotalWCI
|World Competitiveness Yearbook 2013, IMD (Penrose Sub)
|2013/05/21
|GE;CN
|-
|SeriesEdQualPriAllAvgScrWBGA
|World Bank EDSTATS
|2018/01/07
|mti;
|-
|SeriesEdQualPriMathAvgScrWBGA
|World Bank EDSTATS
|2018/05/24
|MTI,KBN: Updated with MIDEH conversions
|-
|SeriesEdQualPriMathRatioNAEK
|Nadir Altinok (draft)
|2018/01/23
|KN
|-
|SeriesEdQualPriReadAvgScrWBGA
|World Bank EDSTATS
|2018/05/24
|MTI,KBN: Updated with MIDEH conversions for Honduras
|-
|SeriesEdQualPriReadRatioNAEK
|Nadir Altinok (draft)
|2018/01/23
|KN
|-
|SeriesEdQualPriSciAvgScrWBGA
|World Bank EDSTATS
|2018/01/07
|mti;
|-
|SeriesEdQualPriSciRatioNAEK
|Nadir Altinok (draft)
|2018/01/23
|KN
|-
|SeriesEdQualPriSecAllAvgScrWBGA
|World Bank EDSTATS
|2018/01/07
|mti;
|-
|SeriesEdQualPriTotalRatioNAEK
|Nadir Altinok (draft)
|2018/01/23
|KN
|-
|SeriesEdQualSchlsConInternet%
|WDI CD 06
|2006/08/01
|
|-
|SeriesEdQualSecAllAvgScrWBGA
|World Bank EDSTATS
|2018/01/07
|mti;
|-
|SeriesEdQualSecMathAvgScrWBGA
|World Bank EDSTATS
|2018/05/24
|MTI,KBN: Updated with MIDEH conversions
|-
|SeriesEdQualSecMathRatioNAEK
|Nadir Altinok (draft)
|2018/01/23
|KN
|-
|SeriesEdQualSecReadAvgScrWBGA
|World Bank EDSTATS
|2018/05/24
|mti,kbn
|-
|SeriesEdQualSecReadRatioNAEK
|Nadir Altinok (draft)
|2018/01/23
|KN
|-
|SeriesEdQualSecSciAvgScrWBGA
|World Bank EDSTATS
|2018/01/07
|mti;
|-
|SeriesEdQualSecSciRatioNAEK
|Nadir Altinok (draft)
|2018/01/23
|KN
|-
|SeriesEdQualSecTotalRatioNAEK
|Nadir Altinok (draft)
|2018/01/23
|KN
|-
|SeriesEdQualTIMSSMath4thFemales
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-mathematics.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSMath4thMales
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-mathematics.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSMath4thMark400%
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-mathematics.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSMath4thMark475%
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-mathematics.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSMath4thMark550%
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-mathematics.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSMath4thMark625%
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-mathematics.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSMath4thTop10%
|<nowiki>http://isc.bc.edu/timss1995i</nowiki>
|2008/02/01
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSMath4thTop25%
|<nowiki>http://isc.bc.edu/timss1995i</nowiki>
|2008/02/01
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSMath4thTop50%
|<nowiki>http://isc.bc.edu/timss1995i</nowiki>
|2008/02/01
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSMath4thTotal
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-mathematics.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSMath8thFemales
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-mathematics.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSMath8thMales
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-mathematics.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSMath8thTop10%
|<nowiki>http://isc.bc.edu/timss1995i</nowiki>
|2008/02/01
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSMath8thTop25%
|<nowiki>http://isc.bc.edu/timss1995i</nowiki>
|2008/02/01
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSMath8thTop50%
|<nowiki>http://isc.bc.edu/timss1995i</nowiki>
|2008/02/01
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSMath8thTotal
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-mathematics.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSScience4thFemales
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-science.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSScience4thMales
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-science.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSScience4thMark400%
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-science.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSScience4thMark475%
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-science.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSScience4thMark550%
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-science.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSScience4thMark625%
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-science.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSScience4thTop10%
|<nowiki>http://isc.bc.edu/timss1995i</nowiki>
|2008/02/01
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSScience4thTop25%
|<nowiki>http://isc.bc.edu/timss1995i</nowiki>
|2008/02/01
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSScience4thTop50%
|<nowiki>http://isc.bc.edu/timss1995i</nowiki>
|2008/02/01
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSScience4thTotal
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-science.html</nowiki>
|2013/02/23
|
|-
|SeriesEdQualTIMSSScience8thFemales
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-science.html</nowiki>
|2013/02/23
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSScience8thMales
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-science.html</nowiki>
|2013/02/23
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSScience8thTop10%
|<nowiki>http://isc.bc.edu/timss1995i</nowiki>
|2008/02/01
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSScience8thTop25%
|<nowiki>http://isc.bc.edu/timss1995i</nowiki>
|2008/02/01
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSScience8thTop50%
|<nowiki>http://isc.bc.edu/timss1995i</nowiki>
|2008/02/01
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualTIMSSScience8thTotal
|<nowiki>http://timssandpirls.bc.edu/timss2011/international-results-science.html</nowiki>
|2013/02/23
|Belgium is average of Flemish and French scores
|-
|SeriesEdQualWEFRank
|World Economic Forum. <nowiki>http://www.weforum.org/site/homepublic.nsf/Content/Global+CompetitGlobal</nowiki> Competitiveness Report 2004-2005
|2005/02/01
|Survey Results
|-
|SeriesEdQualWEFScore
|World Economic Forum. <nowiki>http://www.weforum.org/site/homepublic.nsf/Content/Global+CompetitGlobal</nowiki> Competitiveness Report 2004-2005
|2005/02/01
|Survey Results
|-
|SeriesEdSecAdultGrads15Female%
|Barro-Lee
|2018/02/11
|JW,MD; entire series updated to reflect Barro-Lee revisions to 2010 data made in late 2011
|-
|SeriesEdSecAdultGrads15Male%
|Barro-Lee
|2018/02/11
|JW,MD; Calcualted from Barro-Lee using female and total-entire series updated to reflect Barro-Lee revisions to 2010 data made in late 2011
|-
|SeriesEdSecAdultGrads15to24Female%
|Barro-Lee
|2018/02/12
|JW,MD; Secondary Completed + Tertiary total of B-L Spreadsheet Columns
|-
|SeriesEdSecAdultGrads15to24Female%BLLong
|Barro-Lee
|2017/02/11
|SK;HF: Secondary Completed + Tertiary total of B-L Spreadsheet Columns
|-
|SeriesEdSecAdultGrads15to24Male%
|Barro-Lee
|2018/02/12
|JW,MD; Secondary Completed + Tertiary Total of B-L Spreadsheet Columns
|-
|SeriesEdSecAdultGrads15to24Male%BLLong
|Barro-Lee
|2017/02/11
|SK;HF: Secondary Completed + Tertiary Total of B-L Spreadsheet Columns
|-
|SeriesEdSecAdultGrads15to24Total%
|Barro-Lee
|2018/02/12
|JW,MD; Secondary Completed + Tertiary Total of B-L Spreadsheet Columns
|-
|SeriesEdSecAdultGrads15to24Total%BLLong
|Barro-Lee
|2017/02/11
|SK;HF: Secondary Completed + Tertiary Total of B-L Spreadsheet Columns
|-
|SeriesEdSecAdultGrads15to64Female%BLLong
|Barro-Lee
|2017/02/12
|SK;HF: Secondary Completed + Tertiary Total of B-L Spreadsheet Columns
|-
|SeriesEdSecAdultGrads15to64Male%BLLong
|Barro-Lee
|2017/02/12
|SK;HF: Secondary Completed + Tertiary Total of B-L Spreadsheet Columns
|-
|SeriesEdSecAdultGrads15to64Total%BLLong
|Barro-Lee
|2017/02/12
|SK;HF: Secondary Completed + Tertiary Total of B-L Spreadsheet Columns
|-
|SeriesEdSecAdultGrads15Total%
|Barro-Lee
|2018/02/11
|JW,MD; entire series updated to reflect Barro-Lee revisions to 2010 data made in late 2011
|-
|SeriesEdSecAdultGrads20to24Female%
|Barro-Lee
|2018/02/12
|JW,MD
|-
|SeriesEdSecAdultGrads20to24Male%
|Barro-Lee
|2018/02/12
|JW,MD
|-
|SeriesEdSecAdultGrads20to24Total%
|Barro-Lee
|2018/02/12
|JW,MD
|-
|SeriesEdSecAdultGrads25Female%
|Barro-Lee
|2014/04/21
|DAB; AT;CN-entire series updated to reflect Barro-Lee revisions to 2010 data made in late 2011
|-
|SeriesEdSecAdultGrads25Male%
|Barro-Lee
|2014/04/21
|DAB; AT;CN Calcualted from Barro-Lee using female and total-entire series updated to reflect Barro-Lee revisions to 2010 data made in late 2011
|-
|SeriesEdSecAdultGrads25to64Female%BLLong
|Barro-Lee
|2017/02/12
|SK;HF: Secondary Completed + Tertiary Total of B-L Spreadsheet Columns
|-
|SeriesEdSecAdultGrads25to64Male%BLLong
|Barro-Lee
|2017/02/13
|SK;HF: Secondary Completed + Tertiary Total of B-L Spreadsheet Columns
|-
|SeriesEdSecAdultGrads25to64Total%BLLong
|Barro-Lee
|2017/02/13
|SK;HF: Secondary Completed + Tertiary Total of B-L Spreadsheet Columns
|-
|SeriesEdSecAdultGrads25Total%
|Barro-Lee
|2014/04/21
|DAB; AT;CN-entire series updated to reflect Barro-Lee revisions to 2010 data made in late 2011
|-
|SeriesEdSecDuration
|UIS 2015 Pull
|2019/09/01
|AW
|-
|SeriesEdSecEnrNoFem
|UIS 2013 BATCH PULL
|2013/07/17
|No Notes
|-
|SeriesEdSecEnrNoMal
|UIS Website
|2008/11/16
|No Notes
|-
|SeriesEdSecEnrNoTot
|UIS 2013 BATCH PULL
|2013/07/17
|No Notes
|-
|SeriesEdSecEnrollFemaleRateBLLong
|Barro-Lee
|2017/02/15
|SK;HF: Enrollment ratios, subdivided by education level (Secondary)and gender (female), at five-year intervals.
|-
|SeriesEdSecEnrollFemaleRatioBLLong
|Barro-Lee
|2017/02/15
|SK;HF: Enrollment ratios, subdivided by education level (Secondary)and gender (female), at five-year intervals.
|-
|SeriesEdSecEnrollGross%Female
|UIS Statistics
|2018/12/07
|LW,JM, MMN
|-
|SeriesEdSecEnrollGross%Male
|UIS Statistics
|2018/12/07
|LW,JM, MMN
|-
|SeriesEdSecEnrollGross%Parity
|UIS 2013 BATCH PULL
|2019/09/01
|AW
|-
|SeriesEdSecEnrollGross%Total
|UIS Website 2015
|2019/11/08
|KS;
|-
|SeriesEdSecEnrollMaleRateBLLong
|Barro-Lee
|2017/02/15
|SK;HF: Enrollment ratios, subdivided by education level (Secondary)and gender (male), at five-year intervals
|-
|SeriesEdSecEnrollMaleRatioBLLong
|Barro-Lee
|2017/02/15
|SK;HF: Enrollment ratios, subdivided by education level (Secondary)and gender (male), at five-year intervals
|-
|SeriesEdSecEnrollNet
|UIS
|2019/09/08
|EB,HF, DK,AA
|-
|SeriesEdSecEnrollNetFemale
|UIS
|2019/09/08
|EB,HF,DK,AA
|-
|SeriesEdSecEnrollNetFemaleOlder
|WDI 2012 BATCH PULL
|2013/04/23
|AT; AMB
|-
|SeriesEdSecEnrollNetMale
|UIS
|2019/09/08
|EB,HF, DK,AA
|-
|SeriesEdSecEnrollNetMaleOlder
|WDI 2012 BATCH PULL
|2013/04/23
|AT; AMB
|-
|SeriesEdSecEnrollNetOlder
|WDI 2012 BATCH PULL
|2013/04/23
|AT; AMB
|-
|SeriesEdSecEnrollNetParity
|UIS 2013 BATCH PULL
|2018/12/07
|MMN
|-
|SeriesEdSecEnrollTotalRateBLLong
|Barro-Lee
|2017/02/15
|SK;HF: Enrollment ratios, subdivided by education level (Secondary), at five-year intervals
|-
|SeriesEdSecEnrollTotalRatioBLLong
|Barro-Lee
|2017/02/15
|SK;HF: Enrollment ratios, subdivided by education level (Secondary), at five-year intervals
|-
|SeriesEdSecGirlBoyRatio
|1990 UN Statistical Division; rest United Nations Statistics Division available at <nowiki>http://mdgs.un.org/unsd/mdg/</nowiki>
|2006/12/01
|Years with no data at all omitted
|-
|SeriesEdSecGradRate
|OECD, Education at a Glance 2001:146
|
|
|-
|SeriesEdSecGradRateFem
|OECD, Education at a Glance 2001:146
|
|
|-
|SeriesEdSecGradRateMale
|OECD, Education at a Glance 2001:146
|
|
|-
|SeriesEdSecLower2UpperFemale%
|Calculated by IFs Team from Enrollment and Repeater Data
|2016/12/22
|Added the year column 2010 to read provincial values in the sub-regionalized model (MR)
|-
|SeriesEdSecLower2UpperMale%
|Calculated by IFs Team from Enrollment and Repeater Data
|2016/12/22
|Added the year column 2010 to read provincial values in the sub-regionalized model (MR)
|-
|SeriesEdSecLower2UpperTotal%
|Calculated by IFs Team from Enrollment and Repeater Data
|2016/12/22
|Added the year column 2010 to read provincial values in the sub-regionalized model (MR)
|-
|SeriesEdSecLowerAdultGrads25Female%
|UIS
|2014/05/09
|KH
|-
|SeriesEdSecLowerAdultGrads25Male%
|UIS
|2014/05/09
|KH
|-
|SeriesEdSecLowerAdultGrads25Total%
|UIS
|2014/05/09
|KH
|-
|SeriesEdSecLowerDuration
|UIS
|2019/09/07
|EB,HF, DK,AA
|-
|SeriesEdSecLowerEnrollGross%Female
|UIS
|2019/11/08
|YX
|-
|SeriesEdSecLowerEnrollGross%Male
|UIS
|2019/11/08
|YX
|-
|SeriesEdSecLowerEnrollGross%Total
|UIS
|2019/11/08
|YX
|-
|SeriesEdSecLowerEnrollGrossParity
|UIS 2013 BATCH PULL
|2018/12/07
|MMN
|-
|SeriesEdSecLowerEnrollHeadcountFemale
|UIS 2013 BATCH PULL
|2013/07/17
|No Notes
|-
|SeriesEdSecLowerEnrollHeadcountMale
|UNESCO Institute for Statistics
|2008/08/26
|Data is calculated by subtracting EdSeclowerEnrollHeadcountFemale from (same)Total
|-
|SeriesEdSecLowerEnrollHeadcountTotal
|UIS 2013 BATCH PULL
|2013/07/17
|No Notes
|-
|SeriesEdSecLowerGradRateAllFem
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2018/12/07
|BJH, MMN
|-
|SeriesEdSecLowerGradRateAllMal
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2019/11/08
|KS;
|-
|SeriesEdSecLowerGradRateAllTot
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2018/12/07
|BJH,MMN
|-
|SeriesEdSecLowerGradRateGenFem
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2013/07/18
|BJH
|-
|SeriesEdSecLowerGradRateGenMal
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2013/07/18
|BJH
|-
|SeriesEdSecLowerGradRateGenTot
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2013/07/18
|BJH
|-
|SeriesEdSecLowerNetEnrollFemale%
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2018/12/07
|JEM,MMN
|-
|SeriesEdSecLowerNetEnrollMale%
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2019/09/01
|AW
|-
|SeriesEdSecLowerNetEnrollTot%
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2018/12/07
|JEM,MMN
|-
|SeriesEdSecLowerSurvivalFemale%
|Calculated by IFs Team from Enrollment and Repeater Data
|2015/09/21
|columns for 2009 & 2010 added to allow WC data to read in the provincial model, MTR
|-
|SeriesEdSecLowerSurvivalGenFemale%
|UIS Statistics
|2015/09/05
|N.S
|-
|SeriesEdSecLowerSurvivalGenMale%
|UIS Statistics
|2015/09/05
|N.S
|-
|SeriesEdSecLowerSurvivalGenTotal%
|UIS Statistics
|2015/09/05
|N.S
|-
|SeriesEdSecLowerSurvivalMale%
|Calculated by IFs Team from Enrollment and Repeater Data
|2015/09/21
|columns for 2009 & 2010 added to allow WC data to read in the provincial model, MTR
|-
|SeriesEdSecLowerSurvivalTotal%
|Calculated by IFs Team from Enrollment and Repeater Data
|2015/09/21
|columns for 2009 & 2010 added to allow WC data to read in the provincial model, MTR
|-
|SeriesEdSecLowerTeachTrainFemale%
|UN SDG Indicators Global Database
|2019/06/28
|JD; Extended Source Def truncated; definition truncated
|-
|SeriesEdSecLowerTeachTrainMale%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecLowerTeachTrainTotal%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecLowerVoc%AllFemale
|WDI
|2018/01/27
|EB,HF, GE
|-
|SeriesEdSecLowerVoc%AllMale
|WDI
|2018/01/27
|EB,HF, GE
|-
|SeriesEdSecLowerVoc%AllTotal
|WDI
|2018/01/27
|EB,HF, GE
|-
|SeriesEdSecLowrCompletionFemale
|UIS
|2019/11/08
|KM
|-
|SeriesEdSecLowrCompletionMale
|UIS
|2019/11/08
|KM
|-
|SeriesEdSecLowrCompletionTotal
|UIS
|2019/11/08
|KM
|-
|SeriesEdSecLowrDrpGr1BothSexes
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr1Female
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr1Male
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr2BothSexes
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr2Female
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr2Male
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr3BothSexes
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr3Female
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr3Male
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr4BothSexes
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr4Female
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr4Male
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr5BothSexes
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr5Female
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGr5Male
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGrLastCumBothSexes
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGrLastCumFemale
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrDrpGrLastCumMale
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr1BothSexesNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr1FemaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr1MaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr2BothSexesNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr2FemaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr2MaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr3BothSexesNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr3FemaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr3MaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr4BothSexesNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr4FemaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr4MaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr5BothSexesNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr5FemaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr5MaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr6BothSexesNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr6FemaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGr6MaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGrUnSpBothSexesNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGrUnSpFemaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrEnrGrUnSpMaleNo
|UIS
|2020/11/24
|YX
|-
|SeriesEdSecLowrPTR
|UIS <nowiki>http://data.uis.unesco.org/</nowiki>
|2019/09/01
|AW
|-
|SeriesEdSecLowrRpt%Gr1BothSexes
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr1Female
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr1Male
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr2BothSexes
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr2Female
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr2Male
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr3BothSexes
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr3Female
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr3Male
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr4BothSexes
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr4Female
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr4Male
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr5BothSexes
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr5Female
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%Gr5Male
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%GrAllBothSexes
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%GrAllFemale
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLowrRpt%GrAllMale
|The World Bank Education Statistics (EdStats)
|2021/05/07
|
|-
|SeriesEdSecLwrParityGenderMath
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecLwrParityGenderRead
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecLwrParityGenderTeachers
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecLwrParityRurUrbMath
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecLwrParityRurUrbRead
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecLwrParitySocioeconMath
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecLwrParitySocioeconRead
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecSurvivalFemale%
|Calculated by IFs Team from Enrollment and Repeater Data
|2006/06/01
|
|-
|SeriesEdSecSurvivalMale%
|Calculated by IFs Team from Enrollment and Repeater Data
|2006/06/01
|
|-
|SeriesEdSecSurvivalTotal%
|Calculated by IFs Team from Enrollment and Repeater Data
|2006/06/01
|
|-
|SeriesEdSecUpperDuration
|UIS
|2019/09/17
|EB,HF, DK
|-
|SeriesEdSecUpperEnrollGross%Female
|UIS
|2019/09/17
|EB,HF,DK
|-
|SeriesEdSecUpperEnrollGross%Male
|UIS
|2019/09/17
|EB,HF,DK
|-
|SeriesEdSecUpperEnrollGross%Total
|UIS
|2019/09/17
|EB,HF,DK
|-
|SeriesEdSecUpperEnrollGrossParity
|UIS 2013 BATCH PULL
|2013/07/11
|No Notes
|-
|SeriesEdSecUpperEnrollGrossParityNew
|UIS 2013 BATCH PULL
|2018/12/07
|mti,MMN
|-
|SeriesEdSecUpperEnrollHeadcountFemale
|UIS 2013 BATCH PULL
|2013/07/17
|No Notes
|-
|SeriesEdSecUpperEnrollHeadCountMale
|UIS
|2008/08/26
|Data is calculated by subtracting EdSecUpperEnrollHeadcountFemale from (same)Total
|-
|SeriesEdSecUpperEnrollHeadcountTotal
|UIS 2013 BATCH PULL
|2013/07/17
|No Notes
|-
|SeriesEdSecUpperGradRateAllFem
|UIS
|2019/09/17
|EB,HF,DK
|-
|SeriesEdSecUpperGradRateAllMal
|UIS
|2019/09/17
|EB,HF,DK
|-
|SeriesEdSecUpperGradRateAllTot
|UIS
|2019/09/17
|EB,HF,DK
|-
|SeriesEdSecUpperNetEnrollFemale%
|UIS
|2019/09/01
|AW
|-
|SeriesEdSecUpperNetEnrollMale%
|UIS
|2019/01/08
|KN,EB,BB
|-
|SeriesEdSecUpperNetEnrollTot%
|UIS
|2019/01/08
|KN,EB, BB
|-
|SeriesEdSecUpperParityGenderTeachers
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecUpperSurvivalFemale%
|Calculated by IFs Team from Enrollment and Repeater Data
|2015/09/21
|columns for 2009 & 2010 added to allow WC data to read in the provincial model, MTR
|-
|SeriesEdSecUpperSurvivalMale%
|Calculated by IFs Team from Enrollment and Repeater Data
|2015/09/21
|columns for 2009 & 2010 added to allow WC data to read in the provincial model, MTR
|-
|SeriesEdSecUpperSurvivalTotal%
|Calculated by IFs Team from Enrollment and Repeater Data
|2015/09/21
|columns for 2009 & 2010 added to allow WC data to read in the provincial model, MTR
|-
|SeriesEdSecUpperTeachTrainFemale%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecUpperTeachTrainMale%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecUpperTeachTrainTotal%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEdSecUpperVoc%AllFemale
|WDI
|2018/01/27
|EB,HF, GE
|-
|SeriesEdSecUpperVoc%AllMale
|WDI
|2018/01/27
|EB,HF, GE
|-
|SeriesEdSecUpperVoc%AllTotal
|WDI
|2018/01/27
|EB,HF, GE
|-
|SeriesEdSecUpprCompletionFemale
|UIS
|2019/11/08
|KM
|-
|SeriesEdSecUpprCompletionMale
|UIS
|2019/11/08
|KM
|-
|SeriesEdSecUpprCompletionTotal
|UIS
|2019/11/08
|KM
|-
|SeriesEdSecVoc%Female
|WDI
|2019/09/01
|AW, GE
|-
|SeriesEdSecVoc%Male
|WDI
|2019/09/01
|AW, GE
|-
|SeriesEdSecVoc%Tot
|UIS
|2019/09/01
|AW, GE
|-
|SeriesEdSecWilsGPI1991
|John Cheeseboro's Extraction
|2008/05/27
|No Notes
|-
|SeriesEdSecWilsGPI1999
|John Cheeseboro's Extraction
|2008/05/27
|Uses Post 1999 data; few of the countries use one data point close to 1999
|-
|SeriesEdSecWilsGPICohort
|John Cheeseboro's Extraction
|2008/05/27
|Uses Cohort Projection
|-
|SeriesEdSecWilsNER1991Total%
|John Cheeseboro's Extraction
|2008/05/27
|No Notes
|-
|SeriesEdSecWilsNER1999Total%
|John Cheeseboro's Extraction
|2008/05/27
|Uses Post 1999 data; few of the countries use one data point close to 1999
|-
|SeriesEdSecWilsStudentsTotal
|John Cheeseboro's Extraction
|2008/05/27
|No Notes
|-
|SeriesEdTerAdultGrads15Female%
|Barro-Lee
|2018/02/11
|JW,MD; entire series updated to reflect Barro-Lee revisions to 2010 data made in late 2011
|-
|SeriesEdTerAdultGrads15Male%
|Barro-Lee
|2018/02/11
|JW,MD; Calcualted from Barro-Lee using female and total-entire series updated to reflect Barro-Lee revisions to 2010 data made in late 2011
|-
|SeriesEdTerAdultGrads15to24Female%
|Barro-Lee
|2016/01/04
|mti; Tertiary completed of B-L Spreadsheet Columns
|-
|SeriesEdTerAdultGrads15to24Female%BLLong
|Barro-Lee
|2017/02/11
|SK;HF: Tertiary completed of B-L Spreadsheet Columns
|-
|SeriesEdTerAdultGrads15to24Male%
|Barro-Lee
|2016/01/04
|mti; Tertiary completed of B-L Spreadsheet Columns
|-
|SeriesEdTerAdultGrads15to24Male%BLLong
|Barro-Lee
|2017/02/11
|SK;HF: Tertiary completed of B-L Spreadsheet Columns
|-
|SeriesEdTerAdultGrads15to24Total%
|Barro-Lee
|2016/01/04
|mti; Tertiary Completed of B-L Spreadsheet Columns
|-
|SeriesEdTerAdultGrads15to24Total%BLLong
|Barro-Lee
|2017/02/11
|SK;HF: Tertiary Completed of B-L Spreadsheet Columns
|-
|SeriesEdTerAdultGrads15to64Female%BLLong
|Barro-Lee
|2017/02/12
|SK;HF: Tertiary completed of B-L Spreadsheet Columns
|-
|SeriesEdTerAdultGrads15to64Male%BLLong
|Barro-Lee
|2017/02/12
|SK;HF: Tertiary completed of B-L Spreadsheet Columns
|-
|SeriesEdTerAdultGrads15to64Total%BLLong
|Barro-Lee
|2017/02/12
|SK;HF: Tertiary completed of B-L Spreadsheet Columns
|-
|SeriesEdTerAdultGrads15Total%
|Barro-Lee
|2018/02/11
|JW,MD; entire series updated to reflect Barro-Lee revisions to 2010 data made in late 2011
|-
|SeriesEdTerAdultGrads25-34Female%
|Barro-Lee
|2016/01/14
|BV
|-
|SeriesEdTerAdultGrads25-34Male%
|Barro-Lee
|2016/01/14
|BV
|-
|SeriesEdTerAdultGrads25-34Total%
|Barro-Lee
|2016/01/14
|BV
|-
|SeriesEdTerAdultGrads25Female%
|Barro-Lee
|2014/04/21
|DAB; AT;CN-entire series updated to reflect Barro-Lee revisions to 2010 data made in late 2011
|-
|SeriesEdTerAdultGrads25Male%
|Barro-Lee
|2014/04/21
|DAB; AT;CN Calcualted from Barro-Lee using female and total-entire series updated to reflect Barro-Lee revisions to 2010 data made in late 2011
|-
|SeriesEdTerAdultGrads25to64Female%BLLong
|Barro-Lee
|2017/02/12
|SK;HF: Tertiary completed of B-L Spreadsheet Columns
|-
|SeriesEdTerAdultGrads25to64Male%BLLong
|Barro-Lee
|2017/02/13
|SK;HF: Tertiary completed of B-L Spreadsheet Columns
|-
|SeriesEdTerAdultGrads25to64Total%BLLong
|Barro-Lee
|2017/02/13
|SK;HF: Tertiary completed of B-L Spreadsheet Columns
|-
|SeriesEdTerAdultGrads25Total%
|Barro-Lee
|2014/04/21
|DAB; AT;CN-entire series updated to reflect Barro-Lee revisions to 2010 data made in late 2011
|-
|SeriesEdTerAGrad%
|OECD 2001 Education at a Glance 169
|
|
|-
|SeriesEdTerAIntake%
|OECD 2001 Education at a Glance 155
|
|
|-
|SeriesEdTerBGrad%
|OECD 2001 Education at a Glance 169
|
|
|-
|SeriesEdTerBIntake%
|OECD 2001 Education at a Glance 155
|
|
|-
|SeriesEdTerEnrHdctAgFem
|UIS 2013 BATCH PULL
|2019/01/08
|Converted to millions; BB
|-
|SeriesEdTerEnrHdctAgMale
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2019/01/08
|Converted to millions; BB
|-
|SeriesEdTerEnrHdctAgTot
|UIS 2013 BATCH PULL
|2019/01/08
|Converted to millions; BB
|-
|SeriesEdTerEnrHdctEdFem
|UIS 2013 BATCH PULL
|2013/07/15
|Converted to millions
|-
|SeriesEdTerEnrHdctEdMale
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2009/04/24
|Converted to millions
|-
|SeriesEdTerEnrHdctEdTot
|UIS 2013 BATCH PULL
|2013/07/15
|Converted to millions
|-
|SeriesEdTerEnrHdctEMCFem
|UIS 2013 BATCH PULL
|2013/07/15
|Converted to millions
|-
|SeriesEdTerEnrHdctEMCMale
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2009/04/24
|Converted to millions
|-
|SeriesEdTerEnrHdctEMCTot
|UIS 2013 BATCH PULL
|2013/07/15
|Converted to millions
|-
|SeriesEdTerEnrHdctSciFem
|UIS 2013 BATCH PULL
|2013/07/15
|Converted to millions
|-
|SeriesEdTerEnrHdctSciMale
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2009/04/24
|Converted to millions
|-
|SeriesEdTerEnrHdctSciTot
|UIS 2013 BATCH PULL
|2013/07/15
|Converted to millions
|-
|SeriesEdTerEnrHdctSSBLFem
|UIS 2013 BATCH PULL
|2013/07/15
|Converted to millions
|-
|SeriesEdTerEnrHdctSSBLMale
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2009/04/24
|Converted to millions
|-
|SeriesEdTerEnrHdctSSBLTot
|UIS 2013 BATCH PULL
|2013/07/15
|Converted to millions
|-
|SeriesEdTerEnrISCED5AHdctMale
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2009/04/24
|Converted to millions
|-
|SeriesEdTerEnrISCED5AHdctTot
|UIS 2013 BATCH PULL
|2013/07/17
|Converted to millions
|-
|SeriesEdTerEnrISCED5BHdctFem
|UIS 2013 BATCH PULL
|2013/07/17
|Converted to millions
|-
|SeriesEdTerEnrISCED5BHdctMale
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2009/04/24
|Converted to millions
|-
|SeriesEdTerEnrISCED5BHdctTot
|UIS 2013 BATCH PULL
|2013/07/17
|Converted to millions
|-
|SeriesEdTerEnrISCED6HdctFem
|UIS 2013 BATCH PULL
|2013/07/17
|Converted to millions
|-
|SeriesEdTerEnrISCED6HdctMale
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2009/04/24
|Converted to millions
|-
|SeriesEdTerEnrISCED6HdctTot
|UIS 2013 BATCH PULL
|2013/07/17
|Converted to millions
|-
|SeriesEdTerEnrlSCED5AHdctFem
|UIS 2013 BATCH PULL
|2013/07/17
|Converted to millions
|-
|SeriesEdTerEnrollFemaleRateBLLong
|Barro-Lee
|2017/02/15
|SK;HF: Enrollment ratios, subdivided by education level (Tertiary)and gender (female), at five-year intervals.
|-
|SeriesEdTerEnrollFemaleRatioBLLong
|Barro-Lee
|2017/02/15
|SK;HF: Enrollment ratios, subdivided by education level (Tertiary)and gender (female), at five-year intervals.
|-
|SeriesEdTerEnrollGross%Female
|UIS
|2019/09/17
|EB,HF,DK
|-
|SeriesEdTerEnrollGross%Male
|UIS
|2019/09/17
|EB,HF,DK
|-
|SeriesEdTerEnrollGross%Total
|UIS
|2019/09/17
|EB,HF
|-
|SeriesEdTerEnrollHeadcountFem
|UIS 2013 BATCH PULL
|2013/07/17
|Converted to millions
|-
|SeriesEdTerEnrollHeadcountMale
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2009/04/26
|Converted to millions
|-
|SeriesEdTerEnrollHeadcountTotal
|UIS 2013 BATCH PULL
|2013/07/17
|Converted to millions
|-
|SeriesEdTerEnrollMaleRateBLLong
|Barro-Lee
|2017/02/15
|SK;HF: Enrollment ratios, subdivided by education level (Tertiary)and gender (male), at five-year intervals
|-
|SeriesEdTerEnrollMaleRatioBLLong
|Barro-Lee
|2017/02/15
|SK;HF: Enrollment ratios, subdivided by education level (Tertiary)and gender (male), at five-year intervals
|-
|SeriesEdTerEnrollTotalRateBLLong
|Barro-Lee
|2017/02/15
|SK;HF: Enrollment ratios, subdivided by education level (Tertiary), at five-year intervals
|-
|SeriesEdTerEnrollTotalRatioBLLong
|Barro-Lee
|2017/02/15
|SK;HF: Enrollment ratios, subdivided by education level (Tertiary), at five-year intervals
|-
|SeriesEdTerFemaleMaleRatio
|UIS 2013 BATCH PULL
|2013/07/15
|
|-
|SeriesEdTerGradRate1stDegreeFemale%
|UIS
|2019/11/08
|KS;
|-
|SeriesEdTerGradRate1stDegreeMale%
|UIS
|2019/11/08
|KS;
|-
|SeriesEdTerGradRate1stDegreeTotal%
|UIS
|2019/11/08
|KS;
|-
|SeriesEdTerGradRateFemale%
|UNESCO Institute for Statistics Website
|2006/07/02
|Calculated from UIS tertiary graduates numbers and tertiary age population (divided by 5); New Zealand too high
|-
|SeriesEdTerGradRatemale%
|UNESCO Institute for Statistics Website
|2006/07/02
|Calculated from UIS tertiary graduates numbers and tertiary age population (divided by 5)
|-
|SeriesEdTerGradRateTotal%
|UNESCO Institute for Statistics Website
|2006/07/02
|Calculated from UIS tertiary graduates numbers and tertiary age population (divided by 5);
|-
|SeriesEdTerGradRateTotal%OECD
|OECD Factbook 2010
|2012/02/01
|AT
|-
|SeriesEdTerGrads%Ag
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2019/09/30
|BV; BJH, MN
|-
|SeriesEdTerGrads%Engg
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2019/09/30
|BV; BJH, MN
|-
|SeriesEdTerGrads%Health
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2019/09/30
|BV; BJH, MN
|-
|SeriesEdTerGrads%Sci
|UIS Web Database, <nowiki>http://www.uis.unesco.org</nowiki>
|2016/01/31
|BV; BJH
|-
|SeriesEdTerGrads%SciEngg
|UIS
|2019/09/07
|EB,HF,DK,AA
|-
|SeriesEdterGraduatesTotal
|UIS 2013 BATCH PULL
|2013/07/15
|mti; Check unit
|-
|SeriesEdTerGrossOutBoundEnrollRatio
|UIS 2013 BATCH PULL
|2013/07/16
|No Notes
|-
|SeriesEdTerIntakeGrossFemale%
|UNESCO Institute for Statistics (Gradrate and Enrollment Rate)
|2019/09/18
|MTI,KN,DK
|-
|SeriesEdTerIntakeGrossFemale%Old
|IFs Calculation from tertiary gross enrollment and tertiary 1st degree completion rates
|2015/09/21
|Calculated from UIS (with IFs Calculation) tertiary graduation rate and tertiary enrolment rate
|-
|SeriesEdTerIntakeGrossMale%
|UNESCO Institute for Statistics (Gradrate and Enrollment Rate)
|2019/09/18
|MTI,KN,DK
|-
|SeriesEdTerIntakeGrossMale%Old
|IFs Calculation from tertiary gross enrollment and tertiary 1st degree completion rates
|2015/09/21
|Calculated from UIS (with IFs Calculation) tertiary graduation rate and tertiary enrolment rate
|-
|SeriesEdTerIntakeGrossTotal%
|UNESCO Institute for Statistics (Gradrate and Enrollment Rate)
|2019/09/18
|MTI,KN,DK
|-
|SeriesEdTerIntakeGrossTotal%Old
|IFs Calculation from tertiary gross enrollment and tertiary 1st degree completion rates
|2015/09/21
|Calculated from UIS (with IFs Calculation) tertiary graduation rate and tertiary enrolment rate
|-
|SeriesEdTerNCESGrads
|NCES, WB(OECD), UNESCO
|2005/01/01
|For WB 1997 ICSED 5A and ICSED 5B added, For UNESCO + IFs population of IFs - cohort 5 , year 2000 and UNESCO table 9 from GED 2004 used, Regression results in file Bachelors degree pcnt by sex_male_regression_add.xls
|-
|SeriesEdTerNCESGradsFem
|NCES, WB(OECD), UNESCO
|2005/01/01
|For WB 1997 ICSED 5A and ICSED 5B added, For UNESCO + IFs population of IFs - cohort 5 , year 2000 and UNESCO table 9 from GED 2004 used, Regression results in file Bachelors degree pcnt by sex_male_regression_add.xls
|-
|SeriesEdTerNCESGradsMal
|NCES, WB(OECD), UNESCO
|2005/01/01
|For WB 1997 ICSED 5A and ICSED 5B added, For UNESCO + IFs population of IFs - cohort 5 , year 2000 and UNESCO table 9 from GED 2004 used, Regression results in file Bachelors degree pcnt by sex_male_regression_add.xls
|-
|SeriesEducationQualityAG
|Computed for Productivity Project
|2018/12/09
|KBN
|-
|SeriesEdUppSecGradBothSexes
|UIS
|2019/09/30
|KN, CG, MN
|-
|SeriesEdUppSecGradFemale
|UIS
|2019/09/30
|KN, CG, MN
|-
|SeriesEdUppSecGradMale
|UIS
|2019/09/30
|KN, CG, MN
|-
|SeriesEdYearsAge15-24Female
|Barro-Lee
|2017/10/06
|SK,KN
|-
|SeriesEdYearsAge15-24FemaleBLLong
|Barro-Lee
|2017/02/11
|SK;HF: Calculated by taking pop weighted average of avg. years of education for age groups 15-19 and 19-24 - SJ
|-
|SeriesEdYearsAge15-24Male
|Barro-Lee
|2017/10/06
|SK,KN
|-
|SeriesEdYearsAge15-24MaleBLLong
|Barro-Lee
|2017/02/11
|SK;HF: Tertiary completed of B-L Spreadsheet Columns
|-
|SeriesEdYearsAge15-24Total
|Barro-Lee
|2017/10/06
|SK,KN
|-
|SeriesEdYearsAge15-24TotalBLLong
|Barro-Lee
|2017/02/12
|SK;HF
|-
|SeriesEdYearsAge1564CohenSoto
|Cohen & Soto Educ database at <nowiki>http://www.iae-csic.uab.es/soto/data.htm</nowiki>
|2008/01/01
|No Notes
|-
|SeriesEdYearsAge15-64FemaleBLLong
|Barro-Lee
|2017/02/12
|SK;HF: Calculated by taking pop weighted average of avg. years of education
|-
|SeriesEdYearsAge15-64MaleBLLong
|Barro-Lee
|2017/02/12
|SK;HF: Calculated by taking pop weighted average of avg. years of education
|-
|SeriesEdYearsAge15-64TotalBLLong
|Barro-Lee
|2017/02/12
|SK;HF: Calculated by taking pop weighted average of avg. years of education
|-
|SeriesEdYearsAge15CohenSoto
|Cohen & Soto Educ database at <nowiki>http://www.iae-csic.uab.es/soto/data.htm</nowiki>
|2008/01/01
|No Notes
|-
|SeriesEdYearsAge15Female
|Barro-Lee
|2017/12/01
|SK,KN
|-
|SeriesEdYearsAge15Male
|Barro-Lee
|2017/12/01
|SK,KN
|-
|SeriesEdYearsAge15Total
|Barro-Lee
|2017/11/20
|SK,KN
|-
|SeriesEdYearsAge20-29Female
|Barro-Lee
|2018/02/12
|JW,MD; Calculated by taking pop weighted average of avg. years of education for age groups 20-24 and 25-29
|-
|SeriesEdYearsAge20-29Male
|Barro-Lee
|2018/02/12
|JW,MD; Calculated by taking pop weighted average of avg. years of education for age groups 20-24 and 25-29
|-
|SeriesEdYearsAge20-29Total
|Barro-Lee
|2018/02/12
|JW,MD; Calculated by taking pop weighted average of avg. years of education for age groups 20-24 and 25-29
|-
|SeriesEdYearsAge25
|Barro-Lee
|2017/12/01
|SK,KN
|-
|SeriesEdYearsAge25-64FemaleBLLong
|Barro-Lee
|2017/02/12
|SK;HF: Calculated by taking pop weighted average of avg. years of education
|-
|SeriesEdYearsAge25-64MaleBLLong
|Barro-Lee
|2017/02/13
|SK;HF: Calculated by taking pop weighted average of avg. years of education
|-
|SeriesEdYearsAge25-64TotalBLLong
|Barro-Lee
|2017/02/13
|SK;HF: Calculated by taking pop weighted average of avg. years of education
|-
|SeriesEdYearsAge25CohenSoto
|Cohen & Soto Educ database at <nowiki>http://www.iae-csic.uab.es/soto/data.htm</nowiki>
|2007/10/01
|No Notes
|-
|SeriesEdYearsAge25Female
|Barro-Lee
|2017/12/01
|SK,KN
|-
|SeriesEdYearsAge25Male
|Barro-Lee
|2018/01/19
|SK,KN
|-
|SeriesEdYearsAge25UNHDRO
|UNDP HDR
|2019/08/12
|DK
|-
|SeriesEDYearsFemaleAge25UNHDRO
|UNDP HDR
|2019/08/12
|DK
|-
|SeriesEdYearsFemales
|WB, World Development Report
|
|
|-
|SeriesEDYearsMaleAge25UNHDRO
|UNDP HDR
|2019/08/12
|DK
|-
|SeriesEdYearsMales
|WB, World Development Report
|
|
|-
|SeriesEgalitarianComponentIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesEgalitarianDemocracyIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesElectedOfficialsIndexVDEM
|Varieties of Democracy
|2019/08/08
|BG
|-
|SeriesElectoralComponentIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesElectoralDemocracyIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesElectoralRegimeIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesEmigrationFemaleTotal
|World Population and Human Capital in the Twenty-First Century
|2017/12/11
|JD,KN
|-
|SeriesEmigrationMaleTotal
|World Population and Human Capital in the Twenty-First Century
|2017/12/11
|JD,KN
|-
|SeriesEmissionsC02fromLUCFWRICAIT
|<nowiki>http://cait2.wri.org/</nowiki>
|2014/06/03
|PJO
|-
|SeriesEmissionsCarbon
|Carbon Dioxide Information Analysis Center;<nowiki>http://cdiac.esd.ornl.gov/trends/emis/tre_coun.htm</nowiki> and <nowiki>http://cdiac.esd.ornl.gov/trends/emis/tre_coun.htm</nowiki>
|2005/04/01
|
|-
|SeriesEmissionsCarbonCDIAC
|Carbon Dioxide Information Analysis Center
|2022/04/14
|R.G,HF; Data covers 1751-2009 but there is a max of 250 to import, so only used 1800-2009. Updated 2000 - 2010; divide by /1000000, GE
|-
|SeriesEmissionsCarbonGCP
|UNFCCC and CDIAC
|2020/03/27
|AP;VY
|-
|SeriesEmissionsCarbonIEA
|International Energy Agency
|2012/10/31
|MPK - The data was originally in millions of tons and referred to CO2, so the formula = [value/1000 * (12/44)] was used for conversion to billion tons of carbon.
|-
|SeriesEmissionsCH4EntericFermentation
|EDGAR
|2019/07/29
|KBN
|-
|SeriesEmissionsCH4Oil&Gas
|EDGAR
|2019/07/29
|KBN
|-
|SeriesEmissionsCH4Other
|EDGAR database PBL
|2019/07/29
|KBN
|-
|SeriesEmissionsCH4RiceCultivation
|EDGAR database PBL
|2019/07/29
|KBN
|-
|SeriesEmissionsCH4SolidFuels
|EDGAR
|2019/07/29
|KBN
|-
|SeriesEmissionsCH4WasteWater
|EDGAR database PBL
|2019/07/29
|KBN
|-
|SeriesEmissionsCO
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|
|-
|SeriesEmissionsCO21900to1999Cum
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|
|-
|SeriesEmissionsCO2fromAgric
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|
|-
|SeriesEmissionsCO2fromCoal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|
|-
|SeriesEmissionsCO2fromElec
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|
|-
|SeriesEmissionsCO2fromGas
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|
|-
|SeriesEmissionsCO2fromIndCons
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|
|-
|SeriesEmissionsCO2fromOil
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|
|-
|SeriesEmissionsCO2fromRes
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|
|-
|SeriesEmissionsCO2fromRoadTrans
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|
|-
|SeriesEmissionsCO2fromTrans
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|
|-
|SeriesEmissionsCO2per2000$PPP
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEmissionsCO2per2000$PPPWRI
|WRI Earthtrends
|2006/08/01
|
|-
|SeriesEmissionsCO2per2005$PPP
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEmissionsCO2perCap
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEmissionsCO2perPPP
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEmissionsCO2WDI
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEmissionsCO2WRI
|WRI Earthtrends
|2006/08/01
|
|-
|SeriesEmissionsCO2WRICAIT
|<nowiki>http://cait2.wri.org/</nowiki>
|2014/06/03
|PJO
|-
|SeriesEmissionsNOX
|Economic Commission for Europe
|
|
|-
|SeriesEmissionsOrgWatperWorkerDay
|WDI 2013 BATCH PULL
|2013/07/09
|AMB
|-
|SeriesEmissionsSOX
|Economic Commission for Europe
|
|
|-
|SeriesEmpPov%1D90CFemale15+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%1D90CFemale15-24
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%1D90CFemale25+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%1D90CMale15+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%1D90CMale15-24
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%1D90CMale25+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%1D90CTot15+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%1D90CTot15-24
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%1D90CTot25+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%3D20CFemale15+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%3D20CFemale15-24
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%3D20CFemale25+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%3D20CMale15+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%3D20CMale15-24
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%3D20CMale25+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%3D20CTot15+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%3D20CTot15-24
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%3D20CTot25+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%5D50CFemale15+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%5D50CFemale15-24
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%5D50CFemale25+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%5D50CMale15+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%5D50CMale15-24
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%5D50CMale25+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%5D50CTot15+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%5D50CTot15-24
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEmpPov%5D50CTot25+
|ILOSTAT
|2021/07/16
|GE;
|-
|SeriesEnBalInd
|WRI CD 98
|
|
|-
|SeriesEnBalRes
|WRI CD 98
|
|
|-
|SeriesEnBalTrans
|WRI CD 98
|
|
|-
|SeriesEnConAgric
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConBiodieselTotIEA
|IEA 2012 BATCH PULL
|2013/08/12
|SMD; DAB - FROM EXTENDED FILE (No 2011 data on file); converted ktoe to bboe
|-
|SeriesEnConBiodieselTransportIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/16
|From World Energy Statistics disc; converted ktoe to BBOE; AJM
|-
|SeriesEnConBiogasIndustrialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnConBiogasLiqBiomass
|EarthTrends database available at www.earthtrends.org
|2006/04/01
|
|-
|SeriesEnConBiogasolineTotIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/16
|From World Energy Statistics disc; converted ktoe to BBOE; AJM
|-
|SeriesEnConBiogasolineTransportIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/16
|From World Energy Statistics disc; converted ktoe to BBOE; AJM
|-
|SeriesEnConBiogasOtherIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnConBiogasTotIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnConBiomassIndustrialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnConBiomassOtherIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnConBiomassResidentialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnConBiomassTotIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnConBiomassTransportIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnConCoal
|WRI CD 98;WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|
|-
|SeriesEnConCoalBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD; multiply each value by *.00733 (from www.iea.org/statistics/resources/unitconverter)
|-
|SeriesEnConCoalIndustrialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConCoalOtherIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConCoalResidentialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConCoalTotIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|}
{| class="wikitable"
|SeriesEnConCoalTransportIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConCombustRenewWasteIndustrialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConCombustRenewWasteOtherIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConCombustRenewWasteResidentialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConCombustRenewWasteTotIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConCombustRenewWasteTransportIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConCommerc
|WRI CD 98
|
|
|-
|SeriesEnConComPubSer
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConComRenewWaste
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEnConElec
|WDI 2014 May BATCH PULL
|2014/06/11
|ME; PM; AMB; *5.89*0.0001*0.000000001
|-
|SeriesEnConElecIndustrialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConElecOtherIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConElecPerCap
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEnConElecResidentIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConElecTotIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConElecTransportIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; ARN
|-
|SeriesEnConElecWDIKwh
|WDI 2013 BATCH PULL
|2013/07/09
|ME; PM; AMB
|-
|SeriesEnConElecWRI
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConFossilFuels
|EarthTrends database available at www.earthtrends.org
|2006/04/01
|
|-
|SeriesEnConGas
|WRI CD 98;WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|
|-
|SeriesEnConGasBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD; values multiplied by .00733 to convert to BBOE
|-
|SeriesEnConGeothBioBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD; values multiplied by .00733 to convert to BBOE
|-
|SeriesEnConGeothermIndustrialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnConGeothermOtherIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnConGeothermResidentialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnConGeothermTotIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnConHydro
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConHydroBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD; multiplied by .00733 to convert to BBOE
|-
|SeriesEnConIndIronSteel
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConIndMining
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConIndTot
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConNatGasIndustrialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnConNatGasOtherIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnConNatGasResidentialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnConNatGasTotIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnConNatGasTransportIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnConNucBP
|BP’s Statistical Review of World Energy
|2018/11/09
|JD; multiplied by .00733 to convert to BBOE
|-
|SeriesEnConOil
|WRI CD 98;WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|
|-
|SeriesEnConOilBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD; multiplied by .00733 to convert to BBOE
|-
|SeriesEnConOtherBiofuelsIndustrialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Statistics disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnConOtherBiofuelsTotIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Statistics disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnConOtherBiofuelsTransportIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Statistics disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnConPhoto
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConRes
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConResperCap
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2006/04/01
|
|-
|SeriesEnConResperCapKg
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2006/02/01
|
|-
|SeriesEnConSolarBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD; multiplied by .00733 to convert to BBOE
|-
|SeriesEnConSolarTherm
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConSolarThermalTotIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnConSolarThermIndustrialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnConSolarThermOtherIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnConSolarThermResidentialIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnConSolarWindWaveGeo
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConSolidBiomass
|EarthTrends database available at www.earthtrends.org
|2006/03/01
|
|-
|SeriesEnConTotal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|
|-
|SeriesEnConTotalWDI
|WDI 2017 Pull
|2018/04/19
|KBN: Original units are in Kgs of oil equivalent per capita. Multiplied by population and then converted to BOE by multiplying by of 0.00684357. Finally divided by billion to get BBOE
|-
|SeriesEnConTrad
|WRI CD 98
|
|
|-
|SeriesEnConTransDomAir
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConTransIntlAir
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConTransRoad
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2006/03/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConTransTot
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConWind
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnConWindBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD; multiplied by .00733 to convert to BBOE
|-
|SeriesEnCumProdGasBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2017/03/24
|ARN
|-
|SeriesEnCumProdOilBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2017/03/29
|ARN
|-
|SeriesEnElecAccess%Households
|ITU 2014 BATCH PULL
|2015/01/28
|EWF, AT
|-
|SeriesEnElecAccess%National
|WDI BATCH Update
|2022/03/01
|YX, LM, JD
|-
|SeriesEnElecAccess%Rural
|WDI BATCH Update
|2022/03/01
|YX, LM, JD
|-
|SeriesEnElecAccess%Urban
|WDI BATCH Update
|2022/03/01
|YX, LM, JD
|-
|SeriesEnElecConsPerCap
|World Development Indicators
|2022/03/21
|YX, JD
|-
|SeriesEnElecHydroCapacityEIA
|US Energy Information Administration
|2012/03/15
|AS;CN
|-
|SeriesEnElecHydroPumpedCapacityEIA
|US Energy Information Administration
|2012/03/15
|AS;CN
|-
|SeriesEnElecNonHydroRenCapacityEIA
|US Energy Information Administration
|2012/03/15
|AS;CN
|-
|SeriesEnElecNuclearCapacityEIA
|US Energy Information Administration
|2012/03/15
|AS;CN
|-
|SeriesEnElecShrEnDem
|WDI 2014 May BATCH PULL
|2018/02/12
|MD,JW
|-
|SeriesEnElecShrEnDemOld
|WDI 2011; IFs calculation using two WDI tables
|2011/08/08
|AS; MTI; calculated using 100 * (EnElecConsPerCap*Population)/(EnConTotalWDI*1700000) ; Energy consumption converted from BBOE to KwHr
|-
|SeriesEnElecThermalCapacityEIA
|US Energy Information Administration
|2012/03/15
|AS;CN
|-
|SeriesEnElecTotalCapacityCanning
|Canning, David (1998) and WDI (2006)
|2010/08/25
|CT
|-
|SeriesEnElecTotalCapacityEIA
|US Energy Information Administration (EIA)
|2018/11/13
|AA, CK
|-
|SeriesEnElecTotalCapacityForecastEACC
|World Bank Environmental Adaptation and Climate Change Project
|2011/02/17
|
|-
|SeriesEnElecTransLoss%
|World Development Indicators
|2022/03/21
|YX, JD
|-
|SeriesEnElecTransLoss%Old
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEnExports
|WRI CD 98
|
|
|-
|SeriesEnExportsBiodieselIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Statistics disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnExportsBiogasolineIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Statistics disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnExportsBiomassIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnExportsCoal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2006/09/01
|
|-
|SeriesEnExportsCoalIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnExportsCombustRenewWasteIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnExportsElecGwHrIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/24
|From World Energy Balance dics; converted ktoe to GwHr (ktoe*-.086)
|-
|SeriesEnExportsElecIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnExportsFossilFuels
|EarthTrends On-line
|2008/06/28
|
|-
|SeriesEnExportsNatGasIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnExportsNGas
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2006/06/01
|
|-
|SeriesEnExportsOil
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|
|-
|SeriesEnExportsOilIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnExportsOilProductsIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnExportsOtherBiofuelsIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Statistics disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnExportsPeatIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnExportsTotalIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnExpProdBioDieselsCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/16
|From World Energy Statistics disc; converted ktoe to BBOE; AJM
|-
|SeriesEnExpProdBiogasCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/24
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnExpProdBiogasolineCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Statistics disc; converted ktoe to BBOE; AJM
|-
|SeriesEnExpProdCharcoalCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Statistics disc; converted ktoe to BBOE; AJM
|-
|SeriesEnExpProdIndustrialWasteCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/24
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnExpProdMunicipalWasteNonRenewableCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/24
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnExpProdMunicipalWasteRenewableCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/24
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnExpProdnonspecPrimaryBiomassWasteCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/24
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnExpProdOtherLiquidbiofuelsCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Statistics disc; converted ktoe to BBOE; AJM
|-
|SeriesEnExpProdOtherSourcesCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Statistics disc; converted ktoe to BBOE; AJM
|-
|SeriesEnExpProdPrimarySolidGasCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnExpProdSolarThermalCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/24
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnExpProdSPVCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/27
|From World Energy Statistics disc; converted ktoe to BBOE; AJM; HF
|-
|SeriesEnExpProdTideWaveOCeanCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Statistics disc; converted ktoe to BBOE; AJM
|-
|SeriesEnExpProdWindCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/27
|From World Energy Statistics disc; converted ktoe to BBOE; AJM; HF
|-
|SeriesEnFuelEx%MerchEx
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesEnFuelIm%MerchIm
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesEnImportCombustRenewWasteIEA
|IEA Energy Balances of OECD and non-OECD Countries 2008
|2009/04/24
|converted ktoe to bboe
|-
|SeriesEnImports
|WRI CD 98
|
|
|-
|SeriesEnImportsBiodieselIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/23
|From World Energy Statistics disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnImportsBiogasolineIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/23
|From World Energy Statistics disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnImportsBiomassIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/18
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnImportsCoal
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2006/11/01
|
|-
|SeriesEnImportsCoalIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnImportsElecGwHrIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/24
|From World Energy Balance dics; converted ktoe to GwHr (ktoe*.086)
|-
|SeriesEnImportsElecIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/01
|From World Energy Balance disc; converted ktoe to BBOE; AJM; JM
|-
|SeriesEnImportsFossilFuels
|EarthTrends On-line
|2008/06/28
|
|-
|SeriesEnImportsNatGasIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnImportsNet
|WDI CD 07
|2008/06/28
|
|-
|SeriesEnImportsNet%EnUse
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEnImportsNGas
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2006/06/01
|
|-
|SeriesEnImportsOil
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2005/04/01
|
|-
|SeriesEnImportsOilIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnImportsOilProductsIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnImportsOtherBiofuelsIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnImportsPeatIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnImportsTotalIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnInstGeothermalBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD
|-
|SeriesEnInstSolarBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD
|-
|SeriesEnInstWindBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD
|-
|SeriesEnOutputElecCoalCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnOutputElecCombustibleRenewableWasteCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnOutputElecCrudeNGLFeedstocksCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnOutputElecElectricityCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnOutputElecGasCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnOutputElecGeothermalCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnOutputElecHeatCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnOutputElecHydroCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnOutputElecNuclearCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnOutputElecOilProductsCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnOutputElecPeatCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnOutputElecSolarWindOtherCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnOutputElecTotalCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/10
|From World Energy Balance disc; AJM; JM
|-
|SeriesEnPricePumpDiesel
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEnPricePumpSuper
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEnProdBioBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD; multiplied by .00000733 to convert to BBOE
|-
|SeriesEnProdBiodieselIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnProdBiogasIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnProdBiogasolineIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Statistics disc; converted ktoe to BBOE; AJM
|-
|SeriesEnProdBiomassIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/24
|From World Energy Statistics dics; converted from TJ to ktoe (TJ*0.0238845897); converted ktoe to BBOE; AJM,KN
|-
|SeriesEnProdCoal
|WRI CD 98
|
|
|-
|SeriesEnProdCoalBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD; multiplied by .00733 to convert to BBOE
|-
|SeriesEnProdCoalCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdCoalIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnProdCombustibleRenewableWasteCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdCombustRenewWasteIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Statistics disc; converted ktoe to BBOE; AJM
|-
|SeriesEnProdCrudeNGLFeedstocksCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdElec
|WDI 2014 May BATCH PULL
|2018/02/12
|MD,JW
|-
|SeriesEnProdElec%Coal
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEnProdElec%Gas
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEnProdElec%Hydro
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEnProdElec%Nuc
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEnProdElec%Oil
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEnProdElec%TransLoss
|WDI BATCH PULL
|2018/12/13
|KBN,HF.MD
|-
|SeriesEnProdElecBioEMBER
|EMBER
|2021/07/31
|GE
|-
|SeriesEnProdElecCoalEMBER
|EMBER
|2021/08/01
|GE
|-
|SeriesEnProdElecDemandEMBER
|EMBER
|2021/08/01
|GE
|-
|SeriesEnProdElecGasEMBER
|EMBER
|2021/08/01
|GE
|-
|SeriesEnProdElecHydroEMBER
|EMBER
|2021/08/01
|GE
|-
|SeriesEnProdElecNetImportEMBER
|EMBER
|2021/08/01
|GE
|-
|SeriesEnProdElecNuclearEMBER
|EMBER
|2021/08/01
|GE
|-
|SeriesEnProdElecOtherFossilEMBER
|EMBER
|2021/08/01
|GE
|-
|SeriesEnProdElecOtherRenewEMBER
|EMBER
|2021/08/01
|GE
|-
|SeriesEnProdElecSolarEMBER
|EMBER
|2021/08/01
|GE
|-
|SeriesEnProdElecTotalEMBER
|EMBER
|2021/08/01
|GE
|-
|SeriesEnProdElectricityCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdElecWindEMBER
|EMBER
|2021/08/01
|GE
|-
|SeriesEnProdGas
|WRI CD 00-01
|
|
|-
|SeriesEnProdGasBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD; multiplied by .00733 to convert to BBOE
|-
|SeriesEnProdGasCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdGeoTherm
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnProdGeothermalCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdGeothermIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnProdHeatCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdHydroCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdHydroIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnProdNatGasIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnProdNuclear
|WRI CD 98; 1960 guestimated
|
|
|-
|SeriesEnProdNuclearCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdNuclearIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnProdOil
|WRI CD 98
|
|
|-
|SeriesEnProdOilBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD; multiplied by .00733 to convert to BBOE
|-
|SeriesEnProdOilIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnProdOilProductsCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdOtherBiofuelsIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Statistics disc; converted ktoe to BBOE; AJM
|-
|SeriesEnProdPeatCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdSolar
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnProdSolarPhotoIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnProdSolarThermIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnProdSolarWindOtherCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdTideWave
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted from thousand tons oil equivalent with 7.3/1000000
|-
|SeriesEnProdTideWaveOceanIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnProdTotalCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/11
|From World Energy Balance dics; converted ktoe to BBOE; AJM
|-
|SeriesEnProdWindIEA
|IEA World Energy Balances
|2022/06/16
|YX;
|-
|SeriesEnReserCBMBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA
|-
|SeriesEnReserCoal
|WEC
|
|
|-
|SeriesEnReserCoalBGRBBOE
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2017/04/05
|ARN; Combined hard and brown coal totals; Conversions: 1 ton hard coal=4.879boe, brown=2.053boe
|-
|SeriesEnReserCoalBP
|BP’s Statistical Review of World Energy 2013
|2016/01/27
|BV; AMBl SH; .00733
|-
|SeriesEnReserGas
|WEC; Oil and Gas Journal; 1960 estimated
|2012/02/25
|AT;CN
|-
|SeriesEnReserGasBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA
|-
|SeriesEnReserGasBGRBBOE
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2017/04/20
|ARN
|-
|SeriesEnReserGasBP
|BP’s Statistical Review of World Energy
|2018/11/09
|JD; multiplied by 6.6
|-
|SeriesEnReserHeavyOilBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA
|-
|SeriesEnReserHyd
|WRI Annual
|
|
|-
|SeriesEnReserOil
|WEC; Oil and Gas Journal; 1960 estimated
|2012/02/25
|AT;CN;Brunei includes Malaysia to 1975
|-
|SeriesEnReserOilBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA
|-
|SeriesEnReserOilBGRBBOE
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2017/04/12
|ARN
|-
|SeriesEnReserOilBP
|BP’s Statistical Review of World Energy
|2018/11/07
|JD
|-
|SeriesEnReserOilSandsBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA
|-
|SeriesEnReserShaleGasBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA
|-
|SeriesEnReserShaleOilBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA; In 2014, term changed from Shale Oil to Tight Oil
|-
|SeriesEnResorCBMBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA
|-
|SeriesEnResorCoal
|WEC
|
|
|-
|SeriesEnResorCoalBGRBBOE
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2017/05/03
|ARN; Combined hard and brown coal totals; Conversions: 1 ton hard coal=4.879boe, brown=2.053boe
|-
|SeriesEnResorGas
|WEC
|
|
|-
|SeriesEnResorGasBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA; Total is inclusive of EnReserGasBGR
|-
|SeriesEnResorGasBGRBBOE
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2017/04/21
|ARN; Total is inclusive of EnReserGasBGR
|-
|SeriesEnResorGasUSGS
|U.S. GEOLOGICAL SURVEY WORLD PETROLEUM ASSESSMENT 2000 available at: <nowiki>http://pubs.usgs.gov/dds/dds-060/index.html#TOP</nowiki>
|2005/01/01
|
|-
|SeriesEnResorHeavyOilBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA
|-
|SeriesEnResorHydEcon
|World Energy Resources Survey 2013 (<nowiki>http://www.worldenergy.org/wp-content/uploads/2013/09/Complete_WER_2013_Survey.pdf</nowiki>)
|2014/01/07
|DAB (vetter); PJO: used conversion factors to change GWh to MTOE to BBOE. GWh*(8.59845E-5 MTOE*.00733 BBOE)
|-
|SeriesEnResorHydTech
|World Energy Resources Survey 2013 (<nowiki>http://www.worldenergy.org/wp-content/uploads/2013/09/Complete_WER_2013_Survey.pdf</nowiki>)
|2014/01/07
|DAB (vetter); PJO: used conversion factors to change GWh to MTOE to BBOE. GWh*(8.59845E-5 MTOE*.00733 BBOE)
|-
|SeriesEnResorHydTheo
|World Energy Resources Survey 2013 (<nowiki>http://www.worldenergy.org/wp-content/uploads/2013/09/Complete_WER_2013_Survey.pdf</nowiki>)
|2014/01/07
|DAB (vetter); PJO: used conversion factors to change GWh to MTOE to BBOE. GWh*(8.59845E-5 MTOE*.00733 BBOE)
|-
|SeriesEnResorNGLUSGS
|U.S. GEOLOGICAL SURVEY WORLD PETROLEUM ASSESSMENT 2000 available at: <nowiki>http://pubs.usgs.gov/dds/dds-060/index.html#TOP</nowiki>
|2005/01/01
|
|-
|SeriesEnResorOil
|WEC
|
|
|-
|SeriesEnResorOilBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA; Total is inclusive of EnReserOilBGR
|-
|SeriesEnResorOilBGRBBOE
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2017/04/21
|ARN; Total is inclusive of EnReserOilBGR
|-
|SeriesEnResorOilSandsBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA
|-
|SeriesEnResorOilUSGS
|U.S. GEOLOGICAL SURVEY WORLD PETROLEUM ASSESSMENT 2000 available at: <nowiki>http://pubs.usgs.gov/dds/dds-060/index.html#TOP</nowiki>
|2005/01/01
|
|-
|SeriesEnResorShaleGasBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA
|-
|SeriesEnResorShaleOilBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA; In 2014, term changed from Shale Oil to Tight Oil; Reserves and Resources not added
|-
|SeriesEnResorSynthetic
|WEC
|
|
|-
|SeriesEnResorTightGasBGR
|BGR; "Reserves, Resources and Availability of Energy Resources"Bundesanstalt fur Geowissenschaften und Rohstoffe (BGR) in Hannover; Annual Report. Reserves, Resources and Availability of Energy Resources"
|2019/02/28
|AA
|-
|SeriesEnThermalElec
|
|
|
|-
|SeriesEnTPESCoalCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/27
|From World Energy Balance disc; converted ktoe to BBOE; AJM; HF
|-
|SeriesEnTPESCombustibleRenewableWasteCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/27
|From World Energy Balance disc; converted ktoe to BBOE; AJM; HF
|-
|SeriesEnTPESCrudeNGLFeedstocksCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/27
|From World Energy Balance disc; converted ktoe to BBOE; AJM; HF
|-
|SeriesEnTPESElectricityCDIEA
|IEA (International Energy Agency) Batch Pull
|2017/05/27
|From World Energy Balance disc; converted ktoe to BBOE; AJM; HF
|-
|SeriesEnTPESGasCDIEA
|IEA 2012 BATCH PULL
|2013/08/12
|DAB - FROM SUMMARY FILE; AS from DSR; Converted from 'ktoe' to billion barrels of oil equivalent, conversion factor is 7.33 toe/boe
|-
|SeriesEnTPESGeothermalCDIEA
|IEA 2012 BATCH PULL
|2013/08/12
|DAB - FROM SUMMARY FILE; AS from DSR; Converted from 'ktoe' to billion barrels of oil equivalent, conversion factor is 7.33 toe/boe
|-
|SeriesEnTPESHeatCDIEA
|IEA 2012 BATCH PULL
|2013/08/12
|DAB - FROM SUMMARY FILE; AS from DSR; Converted from 'ktoe' to billion barrels of oil equivalent, conversion factor is 7.33 toe/boe
|-
|SeriesEnTPESHydroCDIEA
|IEA 2012 BATCH PULL
|2013/08/12
|DAB - FROM SUMMARY FILE; AS from DSR; Converted from 'ktoe' to billion barrels of oil equivalent, conversion factor is 7.33 toe/boe
|-
|SeriesEnTPESNuclearCDIEA
|IEA 2012 BATCH PULL
|2013/08/12
|DAB - FROM SUMMARY FILE; AS from DSR; Converted from 'ktoe' to billion barrels of oil equivalent, conversion factor is 7.33 toe/boe
|-
|SeriesEnTPESOilProductsCDIEA
|IEA 2012 BATCH PULL
|2013/08/12
|DAB - FROM SUMMARY FILE; AS from DSR; Converted from 'ktoe' to billion barrels of oil equivalent, conversion factor is 7.33 toe/boe
|-
|SeriesEnTPESPeatCDIEA
|IEA 2012 BATCH PULL
|2013/08/12
|DAB - FROM SUMMARY FILE; AS from DSR; Converted from 'ktoe' to billion barrels of oil equivalent, conversion factor is 7.33 toe/boe
|-
|SeriesEnTPESSolarWindOtherCDIEA
|IEA 2012 BATCH PULL
|2013/08/12
|DAB - FROM SUMMARY FILE; AS from DSR; Converted from 'ktoe' to billion barrels of oil equivalent, conversion factor is 7.33 toe/boe
|-
|SeriesEnTPESTotalCDIEA
|IEA 2012 BATCH PULL
|2013/08/12
|DAB - FROM SUMMARY FILE; AS from DSR; Converted from 'ktoe' to billion barrels of oil equivalent, conversion factor is 7.33 toe/boe
|-
|SeriesEnvAnnual%Deforest
|UNDP CD 1999
|
|
|-
|SeriesEnvAvgAnnTemp
|<nowiki>http://www.cgd.ucar.edu/cas/wigley/magicc/</nowiki> and <nowiki>http://na.unep.net/globalpop/1-degree/description.php</nowiki>
|2009/07/27
|Data was developed by combining: 1) grid level data on historic data and normalized changes in temp. as provided in MAGICC/SCENGEN5.3v2 and 2) data matching 1x1 degree grid cells to countries from the Global Population Distribution Database 1990
|-
|SeriesEnvAvgAnnTempChg
|<nowiki>http://www.cgd.ucar.edu/cas/wigley/magicc/</nowiki> and <nowiki>http://na.unep.net/globalpop/1-degree/description.php</nowiki>
|2009/07/27
|Data was developed by combining: 1) grid level data on historic data and normalized changes in temp. as provided in MAGICC/SCENGEN5.3v2 and 2) data matching 1x1 degree grid cells to countries from the Global Population Distribution Database 1990
|-
|SeriesEnvAvgAnnTempChgNEWLong
|World Bank Climate Change Knowledge Portal
|2017/11/02
|JD,RG
|-
|SeriesEnvAvgAnnTempNEWLong
|World Bank Climate Change Knowledge Portal
|2017/10/25
|JD,RG
|-
|SeriesEnvBiodiversityAssistanceDonor
|UN SDG Indicators Global Database
|2019/06/28
|JD Official Indicator
|-
|SeriesEnvBiodiversityAssistanceRecipient
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEnvCookingFuelBiogas%HHTotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvCookingFuelBiomass%HHtotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvCookingFuelCharcoal%HHTotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvCookingFuelClean%HHtotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvCookingFuelCoal%HHTotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvCookingFuelCropWaste%HHTotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvCookingFuelDung%HHTotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvCookingFuelElec%HHTotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvCookingFuelKerosene%HHTotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvCookingFuelLNG%HHTotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvCookingFuelLPG%HHTotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvCookingFuelSolid%HHTotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvCookingFuelWood%HHTotal
|WHO Household Energy Database
|2013/11/17
|sdt,smd; Taken from national survey data, DHS,WHS
|-
|SeriesEnvEcolFootprintBuiltLd
|Global Footprint Network <nowiki>http://www.footprintnetwork.org/gfn_sub.php?content=download</nowiki>
|2005/03/01
|
|-
|SeriesEnvEcolFootprintEnergy
|Global Footprint Network <nowiki>http://www.footprintnetwork.org/gfn_sub.php?content=download</nowiki>
|2005/03/01
|
|-
|SeriesEnvEcolFootprintFood
|Global Footprint Network <nowiki>http://www.footprintnetwork.org/gfn_sub.php?content=download</nowiki>
|2005/03/01
|
|-
|SeriesEnvEcolFootprintTotal
|Global Footprint Network <nowiki>http://www.footprintnetwork.org/gfn_sub.php?content=download</nowiki>
|2005/03/01
|
|-
|SeriesEnvFuelClean%
|UN SDG Indicators Global Database
|2019/06/28
|Official indicator; Coded all >95 values as 97 and all <5 values as 5; JD; AJM
|-
|SeriesEnvGlassRec%
|UNDP CD 1999
|
|
|-
|SeriesEnvHazWasteProd
|UNDP CD 1999
|
|
|-
|SeriesEnvKyotoStatus
|WRI Earthtrends <nowiki>http://earthtrends.wri.org/</nowiki>
|2002/11/01
|Converted categories to codes
|-
|SeriesEnvOrgCountryParticBasel%
|UN SDG Indicators Global Database
|2017/08/02
|CW Additional series
|-
|SeriesEnvOrgCountryParticMontreal%
|UN SDG Indicators Global Database
|2017/08/02
|CW Additional series
|-
|SeriesEnvOrgCountryParticRotterdam%
|UN SDG Indicators Global Database
|2017/08/02
|CW Additional series
|-
|SeriesEnvOrgCountryParticStockholm%
|UN SDG Indicators Global Database
|2017/08/02
|CW Additional series
|-
|SeriesEnvPaperRec%
|UNDP CD 1999
|
|
|-
|SeriesEnvPerformInd
|Yale and CIESIN; <nowiki>http://www.yale.edu/epi/</nowiki>
|2006/02/01
|Pilot Series were done in 2001 and 2002; see Env Sustainabiltiy Index; see Env Sustainabiltiy Index
|-
|SeriesEnvPM10
|WDI 2014 May BATCH PULL
|2014/06/11
|DKB: Peru values chained with CEPLAN data. MR;CN; AMB
|-
|SeriesEnvPMWDI
|World Development Indicators
|2022/03/21
|YX; JS
|-
|SeriesEnvPrecipitation
|<nowiki>http://www.cgd.ucar.edu/cas/wigley/magicc/</nowiki> and <nowiki>http://na.unep.net/globalpop/1-degree/description.php</nowiki>
|2009/07/27
|Data was developed by combining: 1) grid level data on historic data and normalized changes in temp. as provided in MAGICC/SCENGEN5.3v2 and 2) data matching 1x1 degree grid cells to countries from the Global Population Distribution Database 1990
|-
|SeriesEnvPrecipitationChg
|<nowiki>http://www.cgd.ucar.edu/cas/wigley/magicc/</nowiki> and <nowiki>http://na.unep.net/globalpop/1-degree/description.php</nowiki>
|2009/07/27
|Data was developed by combining: 1) grid level data on historic data and normalized changes in temp. as provided in MAGICC/SCENGEN5.3v2 and 2) data matching 1x1 degree grid cells to countries from the Global Population Distribution Database 1990
|-
|SeriesEnvPrecipitationChgNEWLong
|World Bank Climate Change Knowledge Portal
|2017/11/02
|JD,RG
|-
|SeriesEnvPrecipitationNEWLong
|World Bank Climate Change Knowledge Portal
|2017/10/25
|JD,RG
|-
|SeriesEnvProtectedEcosystemFreshwater%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEnvProtectedEcosystemTerrestrial%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEnvProtectedMarineArea%
|UN SDG Indicators Global Database
|2019/06/28
|JD
|-
|SeriesEnvProtectedMarineAreas
|UN SDG Indicators Global Database
|2017/08/04
|CW, Official Indicator
|-
|SeriesEnvSolidFuels
|UNSTATS and WHO survey data and missing point estimation by DPHE, WHO and UC Berkley researchers
|2013/07/03
|BH; PO; DSR wanted to put hard data and missing point estimations (done by WHO & Berkley) in the same table
|-
|SeriesEnvSolidFuelsImproved
|Randall Kuhn prepared it from GACC tables and remove the ones that were implausible and for tiny countries. Then added regional figures based on the old WHO data, basically taking the lower of the rural and urban figures.
|2013/12/19
|
|-
|SeriesEnvSustainability
|<nowiki>http://www.ciesin.columbia.edu/indicators/esi/index.html</nowiki>
|2006/02/01
|Pilot Series were done in 2001 and 2002
|-
|SeriesEnvTotalMarineArea
|UN SDG Indicators Global Database
|2017/08/04
|CW, Official Indicator
|-
|SeriesEnvTradStove%HHRural
|Rehfuess, Hutton and Tediosi et al. 2007 (WHO)
|2013/11/17
|sdt,smd
|-
|SeriesEnvTradStove%HHUrban
|Rehfuess, Hutton and Tediosi et al. 2007 (WHO)
|2013/11/17
|sdt,smd
|-
|SeriesEqualAccessIndicatorsIndexVDEM
|Varieties of Democracy
|2017/06/30
|CW,MM
|-
|SeriesEqualDistributionofResourcesIndexVDEM
|Varieties of Democracy
|2019/08/08
|BG
|-
|SeriesEqualityBeforetheLawandIndividualLibertyIndexVDEM
|Varieties of Democracy
|2019/08/08
|BG
|-
|SeriesEqualProtectionIndexVDEM
|Varieties of Democracy
|2019/08/08
|BG
|-
|SeriesEthnic1
|CIA World Factbook; holes filled (for 2007 column) by Jonathan Moyer various sources
|2013/12/17
|JEM
|-
|SeriesEthnic2
|CIA World Factbook; holes filled by Jonathan Moyer various sources
|2013/12/17
|JEM
|-
|SeriesEthnicFracEthinicity
|Alberto Alesina, et al. 2002 "Fractionalization"
|2010/09/08
|ME
|-
|SeriesEthnicFracLanguage
|Alberto Alesina, et al. 2002 "Fractionalization"
|2010/09/08
|ME
|-
|SeriesEthnicFracReligion
|Alberto Alesina, et al. 2002 "Fractionalization"
|2010/09/08
|ME
|-
|SeriesEthnoLinguisticFract
|Philip G. Roeder. 2001. "Ethnolinguistic Fractionalization (ELF) Indices, Philip G. Roeder. 2001. <nowiki>http://weber.ucsd.edu/~proeder/elf.htm</nowiki> (10/16/02)
|
|
|-
|SeriesEUMembership
|Constructed from assorted
|
|
|-
|SeriesExciseTax%GDPimf
|IMF WoRLD
|2017/03/30
|HF;JM Country concordance created for this series IMF WoRLD. Unable to pull series as a batch.
|-
|SeriesExecutiveCorruptionIndexVDEM
|Varieties of Democracy
|2019/08/08
|BG
|-
|SeriesExecutiveElectoralRegimeIndexVDEM
|Varieties of Democracy
|2019/08/06
|AW
|-
|SeriesExMaintRepair%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExManuSer%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExOtherBusiness%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExOtherConstruction%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExOtherCulRecreation%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExOtherFinancial%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExOtherGovGoodSer%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExOtherInsurPen%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExOtherIntellectual%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExOtherTelCom%Ser
|IMF Balance of Payments
|2022/03/28
|JD, CP
|-
|SeriesExpandedFreedomofExpressionIndexVDEM
|Varieties of Democracy
|2017/06/30
|CW,MM
|-
|SeriesExportGoods
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesExportGoodSer%
|World Development Indicators
|2022/03/21
|YX, JD
|-
|SeriesExportHighTech%Man
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesExportImport%GDP
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesExportQuantityIndex
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesExportServices
|WDI BATCH Update 2020
|2020/06/09
|YX
|-
|SeriesExportServices%GDP
|World Development Indicators
|2022/03/21
|YX; JS
|-
|SeriesExportsGoodsServices
|WDI BATCH PULL
|2019/01/18
|KBN,HF.MD
|-
|SeriesExportsGoodsServicesIncome
|WDI BATCH PULL
|2019/02/01
|KBN,HF.MD
|-
|SeriesExportsMerchandise
|WDI BATCH Update 2020
|2020/06/09
|YX
|-
|SeriesExportsMerchandise%GDP
|World Development Indicators
|2022/03/21
|YX; JS
|-
|SeriesExportValueIndex
|WDI BATCH Update 2018
|2018/05/05
|KBN,HF.MD
|-
|SeriesExTransportFreight%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExTransportOther%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExTransportPass%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExTravelBusiness%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesExTravelPersonal%Ser
|IMF Balance of Payments
|2022/02/26
|JD, CP
|-
|SeriesFood%GDP
|
|
|
|-
|SeriesFoodInsec%
|WDI
|2021/08/31
|AP
|-
|SeriesForecastandHistInfMortMedUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2014/01/23
|2010 assigned average of 2005-2010 and 2010-2015, and so on
|-
|SeriesForecastandHistPopulationBothSexesConstUNPD2010Rev
|<nowiki>http://esa.un.org/wpp/Excel-Data/population.htm</nowiki>
|2013/06/01
|AS
|-
|SeriesForecastandHistPopulationBothSexesHighUNPD2010Rev
|<nowiki>http://esa.un.org/wpp/Excel-Data/population.htm</nowiki>
|2013/06/01
|AS
|-
|SeriesForecastandHistPopulationBothSexesLowUNPD2010Rev
|<nowiki>http://esa.un.org/wpp/Excel-Data/population.htm</nowiki>
|2013/06/01
|AS
|-
|SeriesForecastandHistPopulationBothSexesMedUNPD2010Rev
|<nowiki>http://esa.un.org/wpp/Excel-Data/population.htm</nowiki>
|2013/06/01
|AS
|-
|SeriesForecastBirthsIIASASSP1
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally for 5 year periods. Transformed by spreading.
|-
|SeriesForecastBirthsIIASASSP2
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally for 5 year periods. Transformed by spreading.
|-
|SeriesForecastBirthsIIASASSP3
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally for 5 year periods. Transformed by spreading.
|-
|SeriesForecastBirthsIIASASSP4
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally for 5 year periods. Transformed by spreading.
|-
|SeriesForecastBirthsIIASASSP5
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally for 5 year periods. Transformed by spreading.
|-
|SeriesForecastBirthsUNPDMed
|UNPD WPP 2019, WDI
|2021/01/05
|YX;
|-
|SeriesForecastCapitalStocksCEPII
|CEPII
|2013/03/18
|BH;SGH
|-
|SeriesForecastCBRUNPDMed
|UNPD WPP 2019, WDI
|2021/01/05
|YX;
|-
|SeriesForecastCDR0MigrationUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/28
|Shelby; Multiplied original data by 5 then used Annualize/Spread function in IFs - SJ
|-
|SeriesForecastCDRConstFertilityUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/16
|KN, RG No data for Kosovo
|-
|SeriesForecastCDRConstFertilityUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|AW. Annualized with interpolate function in IFs.
|-
|SeriesForecastCDRConstFertUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/28
|Shelby; Multiplied original data by 5 then used Annualize/Spread function in IFs - SJ
|-
|SeriesForecastCDRConstMortalityUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/28
|Shelby; Multiplied original data by 5 then used Annualize/Spread function in IFs - SJ
|-
|SeriesForecastCDRConstMortUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/16
|KN, RG No data for Kosovo
|-
|SeriesForecastCDRConstMortUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|AW. Annualized with interpolate function in IFs.
|-
|SeriesForecastCDRHighUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/28
|Shelby; Multiplied original data by 5 then used Annualize/Spread function in IFs - SJ
|-
|SeriesForecastCDRHighVariantUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/16
|KN, RG No data for Kosovo
|-
|SeriesForecastCDRHighVariantUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|AW. Annualized with interpolate function in IFs.
|-
|SeriesForecastCDRlowUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/28
|Shelby; Multiplied original data by 5 then used Annualize/Spread function in IFs - SJ
|-
|SeriesForecastCDRLowVariantUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/16
|KN, RG No data for Kosovo
|-
|SeriesForecastCDRLowVariantUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|AW. Annualized with interpolate function in IFs.
|-
|SeriesForecastCDRMediumVariantUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/16
|KN, RG No data for Kosovo
|-
|SeriesForecastCDRMediumVariantUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|AW. Annualized with interpolate function in IFs.
|-
|SeriesForecastCDRMedUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/28
|Shelby; Multiplied original data by 5 then used Annualize/Spread function in IFs - SJ
|-
|SeriesForecastCDRMomentumUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/16
|KN, RG No data for Kosovo
|-
|SeriesForecastCDRMomentumUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|AW. Annualized with interpolate function in IFs.
|-
|SeriesForecastCDRNoChangeUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/28
|Shelby; Multiplied original data by 5 then used Annualize/Spread function in IFs - SJ
|-
|SeriesForecastCDRNochangeUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/16
|KN, RG No data for Kosovo
|-
|SeriesForecastCDRNochangeUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|AW. Annualized with interpolate function in IFs.
|-
|SeriesForecastCDRreplacementUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/28
|Shelby; Multiplied original data by 5 then used Annualize/Spread function in IFs - SJ
|-
|SeriesForecastCDRUNPDMed
|UNPD WPP 2019, WDI
|2021/01/05
|YX;
|-
|SeriesForecastCO2IIASARCP26
|IIASA RCP Database
|2022/03/15
|YX
|-
|SeriesForecastCO2IIASARCP45
|IIASA RCP Database
|2022/03/15
|YX
|-
|SeriesForecastCO2IIASARCP60
|IIASA RCP Database
|2022/03/15
|YX
|-
|SeriesForecastCO2IIASARCP85
|IIASA RCP Database
|2022/03/15
|YX
|-
|SeriesForecastConstFertilityUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/02
|JD,KN
|-
|SeriesForecastConstFertilityUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/16
|AA
|-
|SeriesForecastConstFertilityUNPD2019RevAnn
|See ForecastConstFertilityUNPD2019RevAW
|2020/05/13
|Transformed data table by interpolating data in ForecastConstFertilityUNPD2019RevAW provided every 5 years
|-
|SeriesForecastDeathsIIASASSP1
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally for 5 year periods. Transformed by spreading.
|-
|SeriesForecastDeathsIIASASSP2
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally for 5 year periods. Transformed by spreading.
|-
|SeriesForecastDeathsIIASASSP3
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally for 5 year periods. Transformed by spreading.
|-
|SeriesForecastDeathsIIASASSP4
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally for 5 year periods. Transformed by spreading.
|-
|SeriesForecastDeathsIIASASSP5
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally for 5 year periods. Transformed by spreading.
|-
|SeriesForecastDependencyRatio0MigrationUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioConstantFertilityUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/26
|EB,KN
|-
|SeriesForecastDependencyRatioConstantFertilityUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/16
|AA
|-
|SeriesForecastDependencyRatioConstantMortalityUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/26
|EB,KN
|-
|SeriesForecastDependencyRatioConstMortUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioHighUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/26
|EB,KN
|-
|SeriesForecastDependencyRatioHighUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/16
|AA
|-
|SeriesForecastDependencyRatioInstantReplacementUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/26
|EB,KN
|-
|SeriesForecastDependencyRatioInstantReplacementUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/16
|AA
|-
|SeriesForecastDependencyRatioLowUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/26
|EB,KN
|-
|SeriesForecastDependencyRatioLowUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/16
|AA
|-
|SeriesForecastDependencyRatioMediumUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/26
|EB,KN
|-
|SeriesForecastDependencyRatioMediumUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/16
|AA
|-
|SeriesForecastDependencyRatioMomentumUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/16
|AA
|-
|SeriesForecastDependencyRatioNoChangeUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioNoChangeUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/26
|EB,KN
|-
|SeriesForecastDependencyRatioNoChangeUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/16
|AA
|-
|SeriesForecastDependencyRatioOld0MigrationUNPD2015Rev
|UNPD WPP 2015 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/26
|5 year periods - SJ
|-
|SeriesForecastDependencyRatioOld0MigrationUNPD2019Rev
|UNPD WPP 2019 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2019/10/16
|AA
|-
|SeriesForecastDependencyRatioOldConstFertUNPD2015Rev
|UNPD WPP 2015 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/26
|5 year periods - SJ
|-
|SeriesForecastDependencyRatioOldConstFertUNPD2019Rev
|UNPD WPP 2019 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2019/10/16
|AA
|-
|SeriesForecastDependencyRatioOldConstMortalityUNPD2015Rev
|UNPD WPP 2015 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/26
|5 year periods - SJ
|-
|SeriesForecastDependencyRatioOldConstMortalityUNPD2019Rev
|UNPD WPP 2019 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2019/10/16
|AA
|-
|SeriesForecastDependencyRatioOldHighUNPD2015Rev
|UNPD WPP 2015 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/26
|5 year periods - SJ
|-
|SeriesForecastDependencyRatioOldHighUNPD2019Rev
|UNPD WPP 2019 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2019/10/16
|AA
|-
|SeriesForecastDependencyRatioOldLowUNPD2015Rev
|UNPD WPP 2015 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/26
|5 year periods - SJ
|-
|SeriesForecastDependencyRatioOldLowUNPD2019Rev
|UNPD WPP 2019 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2019/10/16
|AA
|-
|SeriesForecastDependencyRatioOldMedUNPD2015Rev
|UNPD WPP 2015 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/26
|5 year periods - SJ
|-
|SeriesForecastDependencyRatioOldNoChangeUNPD2015Rev
|UNPD WPP 2015 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/26
|5 year periods - SJ
|-
|SeriesForecastDependencyRatioOldNoChangeUNPD2019Rev
|UNPD WPP 2019 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2019/10/17
|AA
|-
|SeriesForecastDependencyRatioOldReplacementUNPD2015Rev
|UNPD WPP 2015 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/26
|5 year periods - SJ
|-
|SeriesForecastDependencyRatioOldReplacementUNPD2019Rev
|UNPD WPP 2019 <nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2019/10/17
|AA
|-
|SeriesForecastDependencyRatioYoungConstFertUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioYoungHighUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioYoungIIASASSP1
|Wittgenstein Centre Data Explorer - <nowiki>http://www.oeaw.ac.at/vid/dataexplorer/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioYoungIIASASSP2
|Wittgenstein Centre Data Explorer - <nowiki>http://www.oeaw.ac.at/vid/dataexplorer/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioYoungIIASASSP2CER
|Wittgenstein Centre Data Explorer - <nowiki>http://www.oeaw.ac.at/vid/dataexplorer/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioYoungIIASASSP2FT
|Wittgenstein Centre Data Explorer - <nowiki>http://www.oeaw.ac.at/vid/dataexplorer/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioYoungIIASASSP3
|Wittgenstein Centre Data Explorer - <nowiki>http://www.oeaw.ac.at/vid/dataexplorer/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioYoungIIASASSP4
|Wittgenstein Centre Data Explorer - <nowiki>http://www.oeaw.ac.at/vid/dataexplorer/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioYoungIIASASSP5
|Wittgenstein Centre Data Explorer - <nowiki>http://www.oeaw.ac.at/vid/dataexplorer/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioYoungLowUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioYoungMedUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioYoungReplacementUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/10/08
|every 5 years - SJ
|-
|SeriesForecastDependencyRatioZeroMigrationUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/09/26
|EB,KN
|-
|SeriesForecastDependencyRatioZeroMigrationUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/17
|AA
|-
|SeriesForecastEdAttainmentFemalePrimaryschooling15-24(B-L)
|Barro-Lee
|2017/09/11
|MM; JW
|-
|SeriesForecastEdAttainmentFemalePrimaryschooling15-64(B-L)
|Barro-Lee
|2017/09/07
|MM; JW
|-
|SeriesForecastEdAttainmentFemalePrimaryschooling25-64(B-L)
|Barro-Lee
|2017/09/07
|MM; JW
|-
|SeriesForecastEdAttainmentFemaleSecondaryschooling15-24(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentFemaleSecondaryschooling15-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentFemaleSecondaryschooling25-64(B-L)
|Barro-Lee
|2017/09/07
|MM; JW
|-
|SeriesForecastEdAttainmentFemaleTertiaryschooling15-24(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentFemaleTertiaryschooling15-64(B-L)
|Barro-Lee
|2017/09/07
|MM; JW
|-
|SeriesForecastEdAttainmentFemaleTertiaryschooling25-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentFemaleTotalschooling15-24(B-L)
|Barro-Lee
|2017/09/07
|MM; JW
|-
|SeriesForecastEdAttainmentFemaleTotalschooling15-64(B-L)
|Barro-Lee
|2017/09/07
|MM; JW
|-
|SeriesForecastEdAttainmentFemaleTotalschooling25-64(B-L)
|Barro-Lee
|2017/09/07
|MM; JW
|-
|SeriesForecastEdAttainmentMalePrimaryschooling15-24(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentMalePrimaryschooling15-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentMalePrimaryschooling25-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentMaleSecondaryschooling15-24(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentMaleSecondaryschooling15-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentMaleSecondaryschooling25-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentMaleTertiaryschooling15-24(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentMaleTertiaryschooling15-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentMaleTertiaryschooling25-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentMaleTotalschooling15-24(B-L)
|Barro-Lee
|2017/09/07
|MM; JW
|-
|SeriesForecastEdAttainmentMaleTotalschooling15-64(B-L)
|Barro-Lee
|2017/09/07
|MM; JW
|-
|SeriesForecastEdAttainmentMaleTotalschooling25-64(B-L)
|Barro-Lee
|2017/09/07
|MM; JW
|-
|SeriesForecastEdAttainmentTotalPrimaryschooling15-24(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentTotalPrimaryschooling15-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentTotalPrimaryschooling25-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentTotalSecondaryschooling15-24(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentTotalSecondaryschooling15-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentTotalSecondaryschooling25-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentTotalTertiaryschooling15-24(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentTotalTertiaryschooling15-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentTotalTertiaryschooling25-64(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentTotalTotalschooling15-24(B-L)
|Barro-Lee
|2017/09/08
|MM; JW
|-
|SeriesForecastEdAttainmentTotalTotalschooling15-64(B-L)
|Barro-Lee
|2017/09/07
|MM; JW
|-
|SeriesForecastEdAttainmentTotalTotalschooling25-64(B-L)
|Barro-Lee
|2017/09/07
|MM; JW
|-
|SeriesForecastEmissionsCO2fromCoal
|IEA World Energy Outlook 2014
|2015/10/08
|Shelby; converted million tons of CO2 to million tons of carbon - SJ
|-
|SeriesForecastEmissionsCO2fromGas
|IEA World Energy Outlook 2014
|2015/10/08
|Shelby; converted million tons of CO2 to million tons of carbon - SJ
|-
|SeriesForecastEmissionsCO2fromOil
|IEA World Energy Outlook 2014
|2015/10/08
|Shelby; converted million tons of CO2 to million tons of carbon - SJ
|-
|SeriesForecastEnConCoalEIA2011
|<nowiki>http://www.eia.gov/oiaf/aeo/tablebrowser/#release=IEO2011&subject=7-IEO2011&table=7-IEO2011&region=0-0&cases=Reference-0504a_1630</nowiki>
|2013/08/07
|SMD, DAB; Converted to BBOE from quadrillion btu (*0.18); Australia includes New Zealand; Mexico includes Chile
|-
|SeriesForecastEnConCoalEIA2013
|<nowiki>http://www.eia.gov/oiaf/aeo/tablebrowser/#release=IEO2013&subject=7-IEO2013&table=7-IEO2013&region=0-0&cases=Reference-d041117</nowiki>
|2013/08/07
|SMD, DAB; Converted to BBOE from quadrillion btu (*0.18); Australia includes New Zealand; Mexico includes Chile; SMD, DAB
|-
|SeriesForecastEnConLiquidEIA2011
|<nowiki>http://www.eia.gov/oiaf/aeo/tablebrowser/#release=IEO2011&subject=1-IEO2011&table=5-IEO2011&region=0-0&cases=Reference-0504a_1630</nowiki>
|2013/06/25
|SGH; converted to BBOE from million barrels per day (Mb/d); Australia includes New Zealand; Mexico includes Chile
|-
|SeriesForecastEnConLiquidEIA2013
|<nowiki>http://www.eia.gov/oiaf/aeo/tablebrowser/#release=IEO2013&subject=5-IEO2013&table=5-IEO2013&region=0-0&cases=Reference-d041117</nowiki>
|2013/08/07
|SMD, DAB;Converted to BBOE from million barrels per day (Mb/d)(*0.365); Australia includes New Zealand; Mexico includes Chile; SMD, DAB
|-
|SeriesForecastEnConNatGasEIA2011
|<nowiki>http://www.eia.gov/oiaf/aeo/tablebrowser/#release=IEO2011&subject=1-IEO2011&table=6-IEO2011&region=0-0&cases=Reference-0504a_1630</nowiki>
|2013/06/25
|SGH; converted to BBOE from trillion cubic feet (tcf); Australia includes New Zealand; Mexico includes Chile
|-
|SeriesForecastEnConNatGasEIA2013
|<nowiki>http://www.eia.gov/oiaf/aeo/tablebrowser/#release=IEO2011&subject=1-IEO2011&table=6-IEO2011&region=0-0&cases=Reference-0504a_1630</nowiki>
|2013/08/14
|SMD, DAB; Converted to BBOE from trillion cubic feet (divided by 5.35); Australia includes New Zealand; Mexico includes Chile; DAB, SMD
|-
|SeriesForecastEnConNatGasIEA2012
|<nowiki>http://www.iea.org/W/bookshop/add.aspx?id=433%20</nowiki> (available through University library for free)
|2013/06/25
|SGH; converted to BBOE from million tons oil equivalent (Mtoe)
|-
|SeriesForecastEnConOilIEA2012
|<nowiki>http://www.iea.org/W/bookshop/add.aspx?id=433%20</nowiki> (available through University library for free)
|2013/06/25
|SGH; converted to BBOE from Million tons oil equivalent (Mtoe)
|-
|SeriesForecastEnProdCoalIEA2014
|IEA WEO 2014
|2015/09/30
|SJ; Converted from mtce to bboe
|-
|SeriesForecastEnProdGasIEA2014
|IEA WEO 2014
|2015/09/30
|SJ; Converted from bcm to bboe
|-
|SeriesForecastEnProdLiquidEIA2013
|<nowiki>http://www.eia.gov/oiaf/aeo/tablebrowser/#release=IEO2013&subject=5-IEO2013&table=38-IEO2013&region=0-0&cases=Reference-d041117</nowiki>
|2013/08/07
|SMD, DAB; Converted to BBOE from million barrels per day (Mb/d)(*0.365); Australia includes New Zealand; Mexico includes Chile; SMD, DAB
|-
|SeriesForecastEnProdNatGasEIA2011
|<nowiki>http://www.eia.gov/oiaf/aeo/tablebrowser/</nowiki>
|2013/06/20
|SGH; converted from trillion cubic feet (tcf)
|-
|SeriesForecastEnProdNatGasEIA2013
|<nowiki>http://www.eia.gov/oiaf/aeo/tablebrowser/#release=IEO2013&subject=6-IEO2013&table=45-IEO2013&region=0-0&cases=Reference-d041117</nowiki>
|2013/08/14
|SMD, DAB; Converted from trillion cubic feet (divided by 5.35); Australia includes New Zealand; Turkey includes Israel; DAB, SMD
|-
|SeriesForecastEnProdNatGasIEA2012
|<nowiki>http://www.iea.org/W/bookshop/add.aspx?id=433%20</nowiki> (available through University library for free)
|2013/06/20
|SGH; converted from billion cubic meters (bcm)
|-
|SeriesForecastEnProdOilEIA2011
|<nowiki>http://www.eia.gov/oiaf/aeo/tablebrowser/</nowiki>
|2013/06/20
|SGH; converted from million barrels per day (mb/d)
|-
|SeriesForecastEnProdOilIEA2012
|<nowiki>http://www.iea.org/W/bookshop/add.aspx?id=433%20</nowiki> (available through University library for free)
|2013/06/20
|SGH; converted from million barrels per day (mb/d)
|-
|SeriesForecastEnProdOilIEA2014
|IEA WEO 2014
|2015/09/30
|SJ; Converted from mb/d to bboe
|-
|SeriesForecastEnvTempChgMedianRCP26
|World Bank Climate Change Knowledge Portal
|2022/03/11
|YT;GE
|-
|SeriesForecastEnvTempChgMedianRCP45
|World Bank Climate Change Knowledge Portal
|2022/03/11
|YT;GE;
|-
|SeriesForecastEnvTempChgMedianRCP60
|World Bank Climate Change Knowledge Portal
|2022/03/13
|YT; GE
|-
|SeriesForecastEnvTempChgMedianRCP85
|World Bank Climate Change Knowledge Portal
|2022/03/13
|YT; GE
|-
|SeriesForecastEnvTempChgP10RCP26
|World Bank Climate Change Knowledge Portal
|2022/03/13
|YT; GE
|-
|SeriesForecastEnvTempChgP10RCP45
|World Bank Climate Change Knowledge Portal
|2022/03/13
|YT;GE
|-
|SeriesForecastEnvTempChgP10RCP60
|World Bank Climate Change Knowledge Portal
|2022/03/13
|YT;GE
|-
|SeriesForecastEnvTempChgP10RCP85
|World Bank Climate Change Knowledge Portal
|2022/03/13
|YT;GE
|-
|SeriesForecastEnvTempChgP90RCP26
|World Bank Climate Change Knowledge Portal
|2022/03/13
|YT;GE
|-
|SeriesForecastEnvTempChgP90RCP45
|World Bank Climate Change Knowledge Portal
|2022/03/13
|YT;GE
|-
|SeriesForecastEnvTempChgP90RCP60
|World Bank Climate Change Knowledge Portal
|2022/03/13
|YT;GE
|-
|SeriesForecastEnvTempChgP90RCP85
|World Bank Climate Change Knowledge Portal
|2022/03/13
|YT;GE
|-
|SeriesForecastEnvWTempLandMeanRCP26
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandMeanRCP45
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandMeanRCP60
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandMeanRCP85
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandMedianRCP26
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandMedianRCP45
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandMedianRCP60
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandMedianRCP85
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandP10RCP26
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandP10RCP45
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandP10RCP60
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandP10RCP85
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandP90RCP26
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandP90RCP45
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandP90RCP60
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastEnvWTempLandP90RCP85
|World Meteorological Organization Climate Explorer (WMO KNMI)
|2022/06/06
|YX
|-
|SeriesForecastFertility0MigrationUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|Every 5 years
|-
|SeriesForecastFertility0MigrationUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/22
|SJ; Multiplied original data by 5 then used Annualize/Spread function in IFs
|-
|SeriesForecastFertilityConstMortalityUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|Every 5 years
|-
|SeriesForecastFertilityConstMortalityUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/22
|SJ; Multiplied original data by 5 then used Annualize/Spread function in IFs
|-
|SeriesForecastFertilityConstMortalityUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/02
|JD,KNAnnualized value is computed using spread function in IFs;JD
|-
|SeriesForecastFertilityConstMortalityUNPD2019Rev
|UNPD World Population Prospects 2017 Revision
|2019/10/17
|AA
|-
|SeriesForecastFertilityConstMortalityUNPD2019RevAnn
|See ForecastFertilityConstMortalityUNPD2019RevAW
|2020/05/13
|Transformed data table by interpolating data in ForecastFertilityConstMortalityUNPD2019RevAW provided every 5 years
|-
|SeriesForecastfertilityConstUNPD
|<nowiki>http://esa.un.org/wpp/Excel-Data/fertility.htm</nowiki>
|2013/05/01
|2010 assigned average of 2005-2010 and 2010-2015, and so on
|-
|SeriesForecastFertilityConstUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|Every 5 years
|-
|SeriesForecastFertilityConstUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/22
|SJ; Multiplied original data by 5 then used Annualize/Spread function in IFs
|-
|SeriesForecastfertilityHighUNPD
|<nowiki>http://esa.un.org/wpp/Excel-Data/fertility.htm</nowiki>
|2013/05/01
|2010 assigned average of 2005-2010 and 2010-2015, and so on
|-
|SeriesForecastFertilityHighUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|Every 5 years
|-
|SeriesForecastFertilityHighUNPD2015ANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/22
|SJ; Multiplied original data by 5 then used Annualize/Spread function in IFs
|-
|SeriesForecastFertilityHighUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/02
|JD,KNAnnualized value is computed using spread function in IFs;JD
|-
|SeriesForecastFertilityHighUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/17
|AA
|-
|SeriesForecastFertilityHighUNPD2019RevAnn
|See ForecastFertilityHighUNPD2019RevAW
|2020/05/13
|Transformed data table by interpolating data in ForecastFertilityHighUNPD2019RevAW provided every 5 years
|-
|SeriesForecastfertilityLowUNPD
|<nowiki>http://esa.un.org/wpp/Excel-Data/fertility.htm</nowiki>
|2013/05/01
|2010 assigned average of 2005-2010 and 2010-2015, and so on
|-
|SeriesForecastFertilityLowUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|Every 5 years
|-
|SeriesForecastFertilityLowUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/22
|SJ; Multiplied original data by 5 then used Annualize/Spread function in IFs
|-
|SeriesForecastFertilityLowUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/02
|JD,KNAnnualized value is computed using spread function in IFs;JD
|-
|SeriesForecastFertilityLowUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/17
|AA
|-
|SeriesForecastFertilityLowUNPD2019RevAnn
|See ForecastFertilityLowUNPD2019RevAW
|2020/05/13
|Transformed data table by interpolating data in ForecastFertilityLowUNPD2019RevAW provided every 5 years
|-
|SeriesForecastfertilityMedUNPD
|<nowiki>http://esa.un.org/wpp/Excel-Data/fertility.htm</nowiki>
|2013/05/01
|2010 assigned average of 2005-2010 and 2010-2015, and so on
|-
|SeriesForecastFertilityMedUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|Every 5 years
|-
|SeriesForecastFertilityMedUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/22
|SJ; Multiplied original data by 5 then used Annualize/Spread function in IFs
|-
|SeriesForecastFertilityMedUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/02
|JD,KNAnnualized value is computed using spread function in IFs;JD
|-
|SeriesForecastFertilityMedUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/17
|AA
|-
|SeriesForecastFertilityMedUNPD2019RevAnn
|See ForecastFertilityMedUNPD2019RevAW
|2020/05/13
|Transformed data table by interpolating data in ForecastFertilityMedUNPD2019RevAW provided every 5 years
|-
|SeriesForecastFertilityNoChangeUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|Every 5 years
|-
|SeriesForecastFertilityNoChangeUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/22
|SJ; Multiplied original data by 5 then used Annualize/Spread function in IFs
|-
|SeriesForecastFertilityNoChangeUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/02
|JD,KNAnnualized value is computed using spread function in IFs;JD
|-
|SeriesForecastFertilityNoChangeUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/17
|AA
|-
|SeriesForecastFertilityNoChangeUNPD2019RevAnn
|See ForecastFertilityNoChangeUNPD2019RevAW
|2020/05/13
|Transformed data table by interpolating data in ForecastFertilityNoChangeUNPD2019RevAW provided every 5 years
|-
|SeriesForecastFertilityReplacementUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|Every 5 years
|-
|SeriesForecastFertilityReplacementUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/22
|SJ; Multiplied original data by 5 then used Annualize/Spread function in IFs
|-
|SeriesForecastFertilityReplacementUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/02
|JD,KNAnnualized value is computed using spread function in IFs;JD
|-
|SeriesForecastFertilityReplacementUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/17
|AA
|-
|SeriesForecastFertilityReplacementUNPD2019RevAnn
|See ForecastFertilityReplacementUNPD2019RevAW
|2020/05/13
|Transformed data table by interpolating data in ForecastFertilityReplacementUNPD2019RevAW provided every 5 years
|-
|SeriesForecastFertilityZeroMigrationUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/02
|JD,KNAnnualized value is computed using spread function in IFs;JD
|-
|SeriesForecastFertilityZeroMigrationUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2019/10/17
|AA
|-
|SeriesForecastFertilityZeroMigrationUNPD2019RevAnn
|See ForecastFertilityZeroMigrationUNPD2019RevAW
|2020/05/13
|Transformed data table by interpolating data in ForecastFertilityZeroMigrationUNPD2019RevAW provided every 5 years
|-
|SeriesForecastGDP2011PCPPPIIASASSP1
|See ForecastGDPPIIASASSP1 and ForecastPopIIASASSP1
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP5 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDP2011PCPPPIIASASSP2
|See ForecastGDPPIIASASSP2 and ForecastPopIIASASSP2
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP5 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDP2011PCPPPIIASASSP3
|See ForecastGDPPIIASASSP3 and ForecastPopIIASASSP3
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP5 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDP2011PCPPPIIASASSP4
|See ForecastGDPPIIASASSP4 and ForecastPopIIASASSP4
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP5 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDP2011PCPPPIIASASSP5
|See ForecastGDPPIIASASSP5 and ForecastPopIIASASSP5
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP5 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDP2011PCPPPOECDSSP1
|See ForecastGDPPOECDSSP1 and ForecastPopIIASASSP1
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP5 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDP2011PCPPPOECDSSP2
|See ForecastGDPPOECDSSP2 and ForecastPopIIASASSP2
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP5 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDP2011PCPPPOECDSSP3
|See ForecastGDPPOECDSSP3 and ForecastPopIIASASSP3
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP5 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDP2011PCPPPOECDSSP4
|See ForecastGDPPOECDSSP4 and ForecastPopIIASASSP4
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP5 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDP2011PCPPPOECDSSP5
|See ForecastGDPPOECDSSP5 and ForecastPopIIASASSP5
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP5 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDPConstantCEPII
|CEPII
|
|BH;SGH
|-
|SeriesForecastGDPCurrentCEPII
|CEPII
|2013/03/18
|BH;SGH
|-
|SeriesForecastGDPP2011IIASASSP1
|See ForecastGDPPIIASASSP1
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPIIASASSP1 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDPP2011IIASASSP2
|See ForecastGDPPIIASASSP2
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPIIASASSP2 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDPP2011IIASASSP3
|See ForecastGDPPIIASASSP3
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPIIASASSP3 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDPP2011IIASASSP4
|See ForecastGDPPIIASASSP4
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPIIASASSP4 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDPP2011IIASASSP5
|See ForecastGDPPIIASASSP5
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPIIASASSP5 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDPP2011OECDSSP1
|See ForecastGDPPOECDSSP1
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP1 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDPP2011OECDSSP2
|See ForecastGDPPOECDSSP2
|2019/07/30
|Transformed data table by interpolating data in ForecastGDPPOECDSSP2 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDPP2011OECDSSP3
|See ForecastGDPPOECDSSP3
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP3 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDPP2011OECDSSP4
|See ForecastGDPPOECDSSP4
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP4 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDPP2011OECDSSP5
|See ForecastGDPPOECDSSP5
|2014/10/08
|Transformed data table by interpolating data in ForecastGDPPOECDSSP5 provided every 5 years; Converted from 2005 to 2011 Dollars
|-
|SeriesForecastGDPPCGrLagendorfBurgess
|R. Langendorf & M. Burgess
|2021/10/20
|SN
|-
|SeriesForecastGDPPCLagendorfBurgess
|R. Langendorf & M. Burgess
|2021/10/20
|SN
|-
|SeriesForecastGDPpercapitaCEPII
|CEPII
|2013/03/18
|BH;SGH
|-
|SeriesForecastGDPPIIASASSP1
|See ForecastGDPPIIASASSP1
|2014/09/09
|Transformed data table by interpolating data in ForecastGDPPIIASASSP1 provided every 5 years
|-
|SeriesForecastGDPPIIASASSP2
|See ForecastGDPPIIASASSP2
|2014/09/09
|Transformed data table by interpolating data in ForecastGDPPIIASASSP2 provided every 5 years
|-
|SeriesForecastGDPPIIASASSP3
|See ForecastGDPPIIASASSP3
|2014/09/09
|Transformed data table by interpolating data in ForecastGDPPIIASASSP3 provided every 5 years
|-
|SeriesForecastGDPPIIASASSP4
|See ForecastGDPPIIASASSP4
|2014/09/09
|Transformed data table by interpolating data in ForecastGDPPIIASASSP4 provided every 5 years
|-
|SeriesForecastGDPPIIASASSP5
|See ForecastGDPPIIASASSP5
|2014/09/09
|Transformed data table by interpolating data in ForecastGDPPIIASASSP5 provided every 5 years
|-
|SeriesForecastGDPPOECDSSP1
|See ForecastGDPPOECDSSP1
|2014/09/09
|Transformed data table by interpolating data in ForecastGDPPOECDSSP1 provided every 5 years
|-
|SeriesForecastGDPPOECDSSP2
|See ForecastGDPPOECDSSP2
|2014/09/09
|Transformed data table by interpolating data in ForecastGDPPOECDSSP2 provided every 5 years
|-
|SeriesForecastGDPPOECDSSP3
|See ForecastGDPPOECDSSP3
|2014/09/09
|Transformed data table by interpolating data in ForecastGDPPOECDSSP3 provided every 5 years
|-
|SeriesForecastGDPPOECDSSP4
|See ForecastGDPPOECDSSP4
|2014/09/09
|Transformed data table by interpolating data in ForecastGDPPOECDSSP4 provided every 5 years
|-
|SeriesForecastGDPPOECDSSP5
|See ForecastGDPPOECDSSP5
|2014/09/09
|Transformed data table by interpolating data in ForecastGDPPOECDSSP5 provided every 5 years
|-
|SeriesForecastGiniRaoSSP1
|Rao, ND, M. Gidden, P. Sauer, K. Riahi, 'Income inequality projections for the Shared Socioeconomic Pathways'
|2019/10/10
|JD; YX
|-
|SeriesForecastGiniRaoSSP2
|Rao, ND, M. Gidden, P. Sauer, K. Riahi, 'Income inequality projections for the Shared Socioeconomic Pathways'
|2019/10/10
|JD; YX
|-
|SeriesForecastGiniRaoSSP3
|Rao, ND, M. Gidden, P. Sauer, K. Riahi, 'Income inequality projections for the Shared Socioeconomic Pathways'
|2019/10/10
|JD; YX
|-
|SeriesForecastGiniRaoSSP4
|Rao, ND, M. Gidden, P. Sauer, K. Riahi, 'Income inequality projections for the Shared Socioeconomic Pathways'
|2019/10/10
|JD; YX
|-
|SeriesForecastGiniRaoSSP5
|Rao, ND, M. Gidden, P. Sauer, K. Riahi, 'Income inequality projections for the Shared Socioeconomic Pathways'
|2019/10/10
|JD; YX
|-
|SeriesForecastIHMEDthsCardiacBoth
|IHME
|2019/04/08
|KBN
|-
|SeriesForecastIHMEDthsCardiacFemale
|IHME
|2019/04/08
|KBN
|-
|SeriesForecastIHMEDthsCardiacMale
|IHME
|2019/04/08
|KBN
|-
|SeriesForecastIHMEDthsDiabetesBoth
|IHME
|2019/04/08
|KBN
|-
|SeriesForecastIHMEDthsDiabetesFemale
|IHME
|2019/04/08
|KBN
|-
|SeriesForecastIHMEDthsDiabetesMales
|IHME
|2019/04/08
|KBN
|-
|SeriesForecastIHMEDthsDiarrheaBoth
|IHME
|2019/04/08
|KBN
|-
|SeriesForecastIHMEDthsDiarrheaFemale
|IHME
|2019/04/08
|KBN
|-
|SeriesForecastIHMEDthsDiarrheaMale
|IHME
|2019/04/08
|KBN
|-
|SeriesForecastIHMEDthsDigestiveBoth
|IHME
|2019/04/08
|KBN
|-
|SeriesForecastIHMEDthsDigestiveFemales
|IHME
|2019/04/08
|KBN
|-
|SeriesForecastIHMEDthsDigestiveMales
|IHME
|2019/04/08
|KBN
|-
|SeriesForecastIHMEDthsHIVBoths
|IHME
|2019/04/03
|KBN
|-
|SeriesForecastIHMEDthsHIVFemales
|IHME
|2019/04/03
|KBN
|-
|SeriesForecastIHMEDthsHIVMales
|IHME
|2019/04/03
|KBN
|-
|SeriesForecastIHMEDthsIntIjBoth
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsIntIjFemales
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsIntIjMale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsMalariaBoth
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsMalariaFemale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsMalariaMale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsMaligntNeoplBoth
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsMaligntNeoplFemale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsMaligntNeoplMale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsMntlHlthsBoth
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsMntlHlthsFemale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsMntlHlthsMale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsOthCDBoth
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsOthCDFemale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsOthCDMale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsOthIntIjBoth
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsOthIntIjFemale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsOthIntIjMale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsOthNCDBoth
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsOthNCDFemale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsOthNCDMale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsRespInfecBoth
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsRespInfecFemale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsRespInfecMale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsRespiratoryBoth
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsRespiratoryFemales
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsRespiratoryMale
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsRoadInjBoth
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsRoadInjFemales
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIHMEDthsRoadInjMales
|IHME
|2019/03/18
|KBN
|-
|SeriesForecastIncBelow1D90c%PovLowerIHME
|IHME
|2020/11/11
|
|-
|SeriesForecastIncBelow1D90c%PovMeanIHME
|IHME
|2020/11/11
|
|-
|SeriesForecastIncBelow1D90c%PovUpperIHME
|IHME
|2020/11/11
|
|-
|SeriesForecastIncBelow3D20c%PovLowerIHME
|IHME
|2020/11/11
|
|-
|SeriesForecastIncBelow3D20c%PovMeanIHME
|IHME
|2020/11/11
|
|-
|SeriesForecastIncBelow3D20c%PovUpperIHME
|IHME
|2020/11/11
|
|-
|SeriesForecastInfantMortalityMediumUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/06
|MO,SK
|-
|SeriesForecastInfantMortalityMediumUNPD2019RevAnn
|See ForecastInfantMortalityMediumUNPD2019RevAW
|2020/05/13
|Transformed data table by interpolating data in ForecastInfantMortalityMediumUNPD2019RevAW provided every 5 years
|-
|SeriesForecastInfantMortalityMedUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/28
|SJ; Multiplied original data by 5 then used Annualize/Spread function in IFs - SJ
|-
|SeriesForecastInfraElecAccNationalGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/19
|DSR;CN
|-
|SeriesForecastInfraElecAccRuralGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/19
|DSR;CN
|-
|SeriesForecastInfraElecAccUrbanGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/19
|DSR;CN
|-
|SeriesForecastInfraElecGenerationAvgAnnNewGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraElecGenerationAvgAnnReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraElecGenerationGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/02
|MJE;CN
|-
|SeriesForecastInfraElecGenerationNewInv%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/01
|MJE;CN
|-
|SeriesForecastInfraElecGenerationO&M%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraElecGenerationO&MGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraElecGenerationReplace%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraElecGenerationReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraElecRuralAvgAnnNewGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraElecRuralAvgAnnReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraElecRuralGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/02
|MJE;CN
|-
|SeriesForecastInfraElecRuralNewInv%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/01
|MJE;CN
|-
|SeriesForecastInfraElecRuralO&M%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraElecRuralO&MGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraElecRuralReplace%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraElecRuralReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraElecUrbanAvgAnnNewGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraElecUrbanAvgAnnReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraElecUrbanGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/02
|MJE;CN
|-
|SeriesForecastInfraElecUrbanNewInv%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/01
|MJE;CN
|-
|SeriesForecastInfraElecUrbanO&M%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraElecUrbanO&MGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraElecUrbanReplace%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraElecUrbanReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraGDP5YrAvgGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/02
|MJE;CN
|-
|SeriesForecastInfraGDP5yravgHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/02
|MJE;CN
|-
|SeriesForecastInfraGDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/02
|MJE;CN
|-
|SeriesForecastInfraGDPPCGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/02
|MJE;CN
|-
|SeriesForecastInfraPopulationGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/02
|MJE;CN
|-
|SeriesForecastInfraPopulationRuralGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/19
|DSR;CN
|-
|SeriesForecastInfraPopulationUrbanGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/19
|DSR;CN
|-
|SeriesForecastInfraRoadsPavedAvgAnnNewGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraRoadsPavedAvgAnnReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraRoadsPavedGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/02
|MJE;CN
|-
|SeriesForecastInfraRoadsPavedNewInv%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/01
|MJE;CN
|-
|SeriesForecastInfraRoadsPavedO&M%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraRoadsPavedO&MGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraRoadsPavedReplace%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraRoadsPavedReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraRoadsTotalGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/02
|MJE;CN
|-
|SeriesForecastInfraRoadsUnpavedAvgAnnNewGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraRoadsUnpavedAvgAnnReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraRoadsUnpavedGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/02
|MJE;CN
|-
|SeriesForecastInfraRoadsUnpavedNewInv%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/01
|MJE;CN
|-
|SeriesForecastInfraRoadsUnpavedO&M%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraRoadsUnpavedO&MGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraRoadsUnpavedReplace%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraRoadsUnpavedReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraSewerAccNationalGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/19
|DSR;CN
|-
|SeriesForecastInfraSewerAccRuralGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/19
|DSR;CN
|-
|SeriesForecastInfraSewerAccUrbanGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/19
|DSR;CN
|-
|SeriesForecastInfraSewerConnectRuralGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/02/29
|MJE;CN
|-
|SeriesForecastInfraSewerConnectUrbanGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/02/29
|MJE;CN
|-
|SeriesForecastInfraSewersRuralAvgAnnNewGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraSewersRuralAvgAnnReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraSewersRuralNewInv%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/01
|MJE;CN
|-
|SeriesForecastInfraSewersRuralO&M%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraSewersRuralO&MGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraSewersRuralReplace%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraSewersRuralReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraSewersUrbanAvgAnnNewGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraSewersUrbanAvgAnnReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraSewersUrbanNewInv%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/01
|MJE;CN
|-
|SeriesForecastInfraSewersUrbanO&M%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraSewersUrbanO&MGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraSewersUrbanReplace%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraSewersUrbanReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraTelephoneLinesGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/02/29
|MJE;CN
|-
|SeriesForecastInfraTelephonesAvgAnnNewGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraTelephonesAvgAnnReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraTelephonesNewInv%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/01
|MJE;CN
|-
|SeriesForecastInfraTelephonesO&M%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraTelephonesO&MGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraTelephonesReplace%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraTelephonesReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraUrban%Ghughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/02
|MJE;CN
|-
|SeriesForecastInfraWaterAccNationalGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2010/03/19
|DSR;CN
|-
|SeriesForecastInfraWaterAccRuralGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2010/03/19
|DSR;CN
|-
|SeriesForecastInfraWaterAccUrbanGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2010/03/19
|DSR;CN
|-
|SeriesForecastInfraWaterConnectRuralGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/02/29
|MJE;CN
|-
|SeriesForecastInfraWaterConnectUrbanGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/02/29
|MJE;CN
|-
|SeriesForecastInfraWaterRuralAvgAnnNewGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraWaterRuralAvgAnnReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraWaterRuralNewInv%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/01
|MJE;CN
|-
|SeriesForecastInfraWaterRuralO&M%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraWaterRuralO&MGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraWaterRuralReplace%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraWaterRuralReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraWaterUrbanAvgAnnNewGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraWaterUrbanAvgAnnReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraWaterUrbanNewInv%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/01
|MJE;CN
|-
|SeriesForecastInfraWaterUrbanO&M%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraWaterUrbanO&MGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastInfraWaterUrbanReplace%GDPGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/10
|MJE;CN
|-
|SeriesForecastInfraWaterUrbanReplaceGHughes
|From Gordon Hughes based on work for Hughes, Gordon, Paul Chinowsky, and Ken Strzepek. 2009. “The Costs of Adapting to Climate Change for Infrastructure”. Economics of Adaptation to Climate Change Discussion Paper no. 2. World Bank
|2012/03/17
|MJE;CN
|-
|SeriesForecastLifeExpectancyBothSexesIIASASSP1
|Data provided by Samir KC of IIASA
|2016/03/25
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyBothSexesIIASASSP2
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyBothSexesIIASASSP3
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyBothSexesIIASASSP4
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyBothSexesIIASASSP5
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyFemalesIIASASSP1
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyFemalesIIASASSP2
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyFemalesIIASASSP3
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyFemalesIIASASSP4
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyFemalesIIASASSP5
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyMalesIIASASSP1
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyMalesIIASASSP2
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyMalesIIASASSP3
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyMalesIIASASSP4
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpectancyMalesIIASASSP5
|Data provided by Samir KC of IIASA
|2016/03/24
|Originally at 5 year intervals. Transformed by interpolating.
|-
|SeriesForecastLifeExpMedBothSexesUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|Every 5 years
|-
|SeriesForecastLifeExpMedBothSexesUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/24
|SJ; Multiplied original data by 5 then used Annualize/Spread function in IFs
|-
|SeriesForecastLifeExpMedBothSexesUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/02
|JD,KN
|-
|SeriesForecastLifeExpMedBothSexesUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|AW. Annualized with interpolate function in IFs.
|-
|SeriesForecastLifeExpMedFemaleUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|Every 5 years
|-
|SeriesForecastLifeExpMedFemaleUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/24
|SJ; Multiplied original data by 5 then used Annualize/Spread function in IFs
|-
|SeriesForecastLifeExpMedFemaleUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/02
|JD,KN
|-
|SeriesForecastLifeExpMedFemaleUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|AW. Annualized with interpolate function in IFs.
|-
|SeriesForecastLifeExpMedMaleUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|Every 5 years
|-
|SeriesForecastLifeExpMedMaleUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/24
|SJ; Multiplied original data by 5 then used Annualize/Spread function in IFs
|-
|SeriesForecastLifeExpMedMaleUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/02
|JD,KN
|-
|SeriesForecastLifeExpMedMaleUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|AW. Annualized with interpolate function in IFs.
|-
|SeriesForecastLifExpectFemaleMedUNPD
|<nowiki>http://esa.un.org/wpp/Excel-Data/mortality.htm</nowiki>
|2013/05/01
|2010 assigned average of 2005-2010 and 2010-2015, and so on
|-
|SeriesForecastLifExpectFemaleUNPD2010Rev
|<nowiki>http://esa.un.org/wpp/Excel-Data/mortality.htm</nowiki>
|2013/01/01
|1955 assigned average of 1950-1955 and 1955-1960, and so on
|-
|SeriesForecastLifExpectMaleMedUNPD
|<nowiki>http://esa.un.org/wpp/Excel-Data/mortality.htm</nowiki>
|2013/05/01
|2010 assigned average of 2005-2010 and 2010-2015, and so on
|-
|SeriesForecastLifExpectMaleUNPD2010Rev
|<nowiki>http://esa.un.org/wpp/Excel-Data/mortality.htm</nowiki>
|2013/01/01
|1955 assigned average of 1950-1955 and 1955-1960, and so on
|-
|SeriesForecastLifExpectMedUNPD
|<nowiki>http://esa.un.org/wpp/Excel-Data/mortality.htm</nowiki>
|2013/05/01
|2010 assigned average of 2005-2010 and 2010-2015, and so on
|-
|SeriesForecastLifExpectUNPD2010Rev
|<nowiki>http://esa.un.org/wpp/Excel-Data/mortality.htm</nowiki>
|2018/03/26
|KN:1955 assigned average of 1950-1955 and 1955-1960, and so on
|-
|SeriesForecastMigrantFlowIn
|UNPD, UNHCR, Guy Abel, and Pardee estimates
|2022/02/22
|CLP
|-
|SeriesForecastMigrantFlowOut
|UNPD, UNHCR, Guy Abel, and Pardee estimates
|2022/02/22
|CLP
|-
|SeriesForecastMigrantRateIn
|UNPD, UNHCR, Guy Abel, and Pardee estimates
|2022/02/22
|CLP
|-
|SeriesForecastMigrantRateOut
|UNPD, UNHCR, Guy Abel, and Pardee estimates
|2022/02/22
|CLP
|-
|SeriesForecastMigrantsINIIASASSP1
|Built from MIGRANTSIN Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrantsINIIASASSP2
|Built from MIGRANTSIN Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrantsINIIASASSP3
|Built from MIGRANTSIN Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrantsINIIASASSP4
|Built from MIGRANTSIN Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrantsINIIASASSP5
|Built from MIGRANTSIN Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrantsOUTIIASASSP1
|Built from MIGRANTSOUT Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrantsOUTIIASASSP2
|Built from MIGRANTSOUT Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrantsOUTIIASASSP3
|Built from MIGRANTSOUT Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrantsOUTIIASASSP4
|Built from MIGRANTSOUT Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrantsOUTIIASASSP5
|Built from MIGRANTSOUT Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrantStockIn
|UNPD, UNHCR, Guy Abel, and Pardee estimates
|2022/02/22
|CLP
|-
|SeriesForecastMigrantStockOut
|UNPD, UNHCR, Guy Abel, and Pardee estimates
|2022/02/22
|CLP
|-
|SeriesForecastMigrationRateINIIASASSP1
|Built from MIGRATEIN Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrationRateINIIASASSP2
|Built from MIGRATEIN Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrationRateINIIASASSP3
|Built from MIGRATEIN Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrationRateINIIASASSP4
|Built from MIGRATEIN Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrationRateINIIASASSP5
|Built from MIGRATEIN Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrationRateOUTIIASASSP1
|Built from MIGRATEOUT Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrationRateOUTIIASASSP2
|Built from MIGRATEOUT Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrationRateOUTIIASASSP3
|Built from MIGRATEOUT Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrationRateOUTIIASASSP4
|Built from MIGRATEOUT Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrationRateOUTIIASASSP5
|Built from MIGRATEOUT Dyadic using NET data tables
|2020/05/11
|JRS Normalizing to old NET migration
|-
|SeriesForecastMigrationUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/05
|KN
|-
|SeriesForecastMigrationUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|AW. Annualized with spread function in IFs
|-
|SeriesForecastMYSBothSexesAbove15YRsIIASASSP1
|See ForecastMYSBothSexesAbove15YRsIIASASSP1
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSBothSexesAbove15YRsIIASASSP1 provided every 5 years
|-
|SeriesForecastMYSBothSexesAbove15YRsIIASASSP2
|See ForecastMYSBothSexesAbove15YRsIIASASSP2
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSBothSexesAbove15YRsIIASASSP2 provided every 5 years
|-
|SeriesForecastMYSBothSexesAbove15YRsIIASASSP3
|See ForecastMYSBothSexesAbove15YRsIIASASSP3
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSBothSexesAbove15YRsIIASASSP3 provided every 5 years
|-
|SeriesForecastMYSBothSexesAbove15YRsIIASASSP4
|See ForecastMYSBothSexesAbove15YRsIIASASSP4
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSBothSexesAbove15YRsIIASASSP4 provided every 5 years
|-
|SeriesForecastMYSBothSexesAbove15YRsIIASASSP5
|See ForecastMYSBothSexesAbove15YRsIIASASSP5
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSBothSexesAbove15YRsIIASASSP5 provided every 5 years
|-
|SeriesForecastMYSBothSexesAbove25YRsIIASASSP1
|See ForecastMYSBothSexesAbove25YRsIIASASSP1
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSBothSexesAbove25YRsIIASASSP1 provided every 5 years
|-
|SeriesForecastMYSBothSexesAbove25YRsIIASASSP12018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/15
|brm
|-
|SeriesForecastMYSBothSexesAbove25YRsIIASASSP2
|See ForecastMYSBothSexesAbove25YRsIIASASSP2
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSBothSexesAbove25YRsIIASASSP2 provided every 5 years
|-
|SeriesForecastMYSBothSexesAbove25YRsIIASASSP22018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/15
|brm
|-
|SeriesForecastMYSBothSexesAbove25YRsIIASASSP3
|See ForecastMYSBothSexesAbove25YRsIIASASSP3
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSBothSexesAbove25YRsIIASASSP3 provided every 5 years
|-
|SeriesForecastMYSBothSexesAbove25YRsIIASASSP32018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/15
|brm
|-
|SeriesForecastMYSBothSexesAbove25YRsIIASASSP4
|See ForecastMYSBothSexesAbove25YRsIIASASSP4
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSBothSexesAbove25YRsIIASASSP4 provided every 5 years
|-
|SeriesForecastMYSBothSexesAbove25YRsIIASASSP5
|See ForecastMYSBothSexesAbove25YRsIIASASSP5
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSBothSexesAbove25YRsIIASASSP5 provided every 5 years
|-
|SeriesForecastMYSFemaleAbove15YRsIIASASSP1
|See ForecastMYSFemaleAbove15YRsIIASASSP1
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSFemaleAbove15YRsIIASASSP1 provided every 5 years
|-
|SeriesForecastMYSFemaleAbove15YRsIIASASSP2
|See ForecastMYSFemaleAbove15YRsIIASASSP2
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSFemaleAbove15YRsIIASASSP2 provided every 5 years
|-
|SeriesForecastMYSFemaleAbove15YRsIIASASSP3
|See ForecastMYSFemaleAbove15YRsIIASASSP3
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSFemaleAbove15YRsIIASASSP3 provided every 5 years
|-
|SeriesForecastMYSFemaleAbove15YRsIIASASSP4
|See ForecastMYSFemaleAbove15YRsIIASASSP4
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSFemaleAbove15YRsIIASASSP4 provided every 5 years
|-
|SeriesForecastMYSFemaleAbove15YRsIIASASSP5
|See ForecastMYSFemaleAbove15YRsIIASASSP5
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSFemaleAbove15YRsIIASASSP5 provided every 5 years
|-
|SeriesForecastMYSFemaleAbove25YRsIIASASSP1
|See ForecastMYSFemaleAbove25YRsIIASASSP1
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSFemaleAbove25YRsIIASASSP1 provided every 5 years
|-
|SeriesForecastMYSFemaleAbove25YRsIIASASSP12018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/15
|brm
|-
|SeriesForecastMYSFemaleAbove25YRsIIASASSP2
|See ForecastMYSFemaleAbove25YRsIIASASSP2
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSFemaleAbove25YRsIIASASSP2 provided every 5 years
|-
|SeriesForecastMYSFemaleAbove25YRsIIASASSP22018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/15
|brm
|-
|SeriesForecastMYSFemaleAbove25YRsIIASASSP3
|See ForecastMYSFemaleAbove25YRsIIASASSP3
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSFemaleAbove25YRsIIASASSP3 provided every 5 years
|-
|SeriesForecastMYSFemaleAbove25YRsIIASASSP32018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/15
|brm
|-
|SeriesForecastMYSFemaleAbove25YRsIIASASSP4
|See ForecastMYSFemaleAbove25YRsIIASASSP4
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSFemaleAbove25YRsIIASASSP4 provided every 5 years
|-
|SeriesForecastMYSFemaleAbove25YRsIIASASSP5
|See ForecastMYSFemaleAbove25YRsIIASASSP5
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSFemaleAbove25YRsIIASASSP5 provided every 5 years
|-
|SeriesForecastMYSMaleAbove15YRsIIASASSP1
|See ForecastMYSMaleAbove15YRsIIASASSP1
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSMaleAbove15YRsIIASASSP1 provided every 5 years
|-
|SeriesForecastMYSMaleAbove15YRsIIASASSP2
|See ForecastMYSMaleAbove15YRsIIASASSP2
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSMaleAbove15YRsIIASASSP2 provided every 5 years
|-
|SeriesForecastMYSMaleAbove15YRsIIASASSP3
|See ForecastMYSMaleAbove15YRsIIASASSP3
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSMaleAbove15YRsIIASASSP3 provided every 5 years
|-
|SeriesForecastMYSMaleAbove15YRsIIASASSP4
|See ForecastMYSMaleAbove15YRsIIASASSP4
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSMaleAbove15YRsIIASASSP4 provided every 5 years
|-
|SeriesForecastMYSMaleAbove15YRsIIASASSP5
|See ForecastMYSMaleAbove15YRsIIASASSP5
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSMaleAbove15YRsIIASASSP5 provided every 5 years
|-
|SeriesForecastMYSMaleAbove25YRsIIASASSP1
|See ForecastMYSMaleAbove25YRsIIASASSP1
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSMaleAbove25YRsIIASASSP1 provided every 5 years
|-
|SeriesForecastMYSMaleAbove25YRsIIASASSP12018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/15
|brm
|-
|SeriesForecastMYSMaleAbove25YRsIIASASSP2
|See ForecastMYSMaleAbove25YRsIIASASSP2
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSMaleAbove25YRsIIASASSP2 provided every 5 years
|-
|SeriesForecastMYSMaleAbove25YRsIIASASSP22018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/15
|brm
|-
|SeriesForecastMYSMaleAbove25YRsIIASASSP3
|See ForecastMYSMaleAbove25YRsIIASASSP3
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSMaleAbove25YRsIIASASSP3 provided every 5 years
|-
|SeriesForecastMYSMaleAbove25YRsIIASASSP32018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/15
|brm
|-
|SeriesForecastMYSMaleAbove25YRsIIASASSP4
|See ForecastMYSMaleAbove25YRsIIASASSP4
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSMaleAbove25YRsIIASASSP4 provided every 5 years
|-
|SeriesForecastMYSMaleAbove25YRsIIASASSP5
|See ForecastMYSMaleAbove25YRsIIASASSP5
|2014/09/08
|Transformed data table by interpolating data in ForecastMYSMaleAbove25YRsIIASASSP5 provided every 5 years
|-
|SeriesForecastNetMigrantsUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/09/28
|Annualized using Annualize/Spread function in IFs - SJ
|-
|SeriesForecastNetMigrationIIASASSP1
|See ForecastNetMigrationIIASASSP1Orig
|2013/11/08
|Transformed data table by spreading out data in ForecastNetMigrationIIASASSP1Orig provided every 5 years and appending historic data from ForecastNetMigrationUNPD
|-
|SeriesForecastNetMigrationIIASASSP2
|See ForecastNetMigrationIIASASSP2Orig
|2013/11/08
|Transformed data table by spreading out data in ForecastNetMigrationIIASASSP2Orig provided every 5 years and appending historic data from ForecastNetMigrationUNPD
|-
|SeriesForecastNetMigrationIIASASSP3
|See ForecastNetMigrationIIASASSP3Orig
|2013/11/08
|Transformed data table by spreading out data in ForecastNetMigrationIIASASSP3Orig provided every 5 years and appending historic data from ForecastNetMigrationUNPD
|-
|SeriesForecastNetMigrationIIASASSP4
|See ForecastNetMigrationIIASASSP4Orig
|2013/11/08
|Transformed data table by spreading out data in ForecastNetMigrationIIASASSP4Orig provided every 5 years and appending historic data from ForecastNetMigrationUNPD
|-
|SeriesForecastNetMigrationIIASASSP5
|See ForecastNetMigrationIIASASSP5Orig
|2013/11/08
|Transformed data table by spreading out data in ForecastNetMigrationIIASASSP5Orig provided every 5 years and appending historic data from ForecastNetMigrationUNPD
|-
|SeriesForecastNetMigrationMedUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/10/14
|5 year sums, 1950-54, . . . 2095-2099
|-
|SeriesForecastNetMigrationMedUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2021/07/27
|YX;
|-
|SeriesForecastNetMigrationMedUNPD2019RevAnn
|UNPD World Population Prospects 2019 Revision
|2021/07/27
|YX;
|-
|SeriesForecastNetMigrationMergedUNPDAbel
|Abel,UNPD
|2018/03/01
|JRS
|-
|SeriesForecastNetMigrationRateIIASASSP1
|See ForecastNetMigrationIIASASSP1Orig and ForecastPopIIASASSP1Orig
|2013/11/08
|Transformed data table by dividing ForecastNetMigrationIIASASSP1Orig by ForecastPopIIASASSP1Orig and multiplying by 100 and appending historic data from ForecastNetMigrationRateUNPD
|-
|SeriesForecastNetMigrationRateIIASASSP2
|See ForecastNetMigrationIIASASSP2Orig and ForecastPopIIASASSP2Orig
|2013/11/08
|Transformed data table by dividing ForecastNetMigrationIIASASSP2Orig by ForecastPopIIASASSP2Orig and multiplying by 100 and appending historic data from ForecastNetMigrationRateUNPD
|-
|SeriesForecastNetMigrationRateIIASASSP3
|See ForecastNetMigrationIIASASSP3Orig and ForecastPopIIASASSP3Orig
|2013/11/08
|Transformed data table by dividing ForecastNetMigrationIIASASSP3Orig by ForecastPopIIASASSP3Orig and multiplying by 100 and appending historic data from ForecastNetMigrationRateUNPD
|-
|SeriesForecastNetMigrationRateIIASASSP4
|See ForecastNetMigrationIIASASSP4Orig and ForecastPopIIASASSP4Orig
|2013/11/08
|Transformed data table by dividing ForecastNetMigrationIIASASSP4Orig by ForecastPopIIASASSP4Orig and multiplying by 100 and appending historic data from ForecastNetMigrationRateUNPD
|-
|SeriesForecastNetMigrationRateIIASASSP5
|See ForecastNetMigrationIIASASSP5Orig and ForecastPopIIASASSP5Orig
|2013/11/08
|Transformed data table by dividing ForecastNetMigrationIIASASSP5Orig by ForecastPopIIASASSP5Orig and multiplying by 100 and appending historic data from ForecastNetMigrationRateUNPD
|-
|SeriesForecastNetMigrationRateMedUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/10/14
|5 year averages, 1950-54, . . . , 2095-2099
|-
|SeriesForecastNetMigrationRateMedUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2021/07/27
|YX;
|-
|SeriesForecastNetMigrationRateMedUNPD2019RevAnn
|UNPD World Population Prospects 2019 Revision
|2021/07/27
|YX;
|-
|SeriesForecastNetMigrationRateMergedUNPDAbel
|Abel,UNPD
|2018/03/01
|JRS
|-
|SeriesForecastNetMigrationRateUNPD
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|YX;
|-
|SeriesForecastNetMigrationRateUNPD2015RevANN
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/11/05
|Annualized using Annualize/Spread function in IFs - SJ
|-
|SeriesForecastNetMigrationRateUNPDPreRev2012
|See ForecastNetMigrationUNPDPreRev2012 and ForecastPopBothSexesMedUNPD2012Rev
|2013/11/08
|Transformed data table by dividing ForecastNetMigrationUNPDPreRev2012 by ForecastPopBothSexesMedUNPD2012Rev and multiplying by 100
|-
|SeriesForecastNetMigrationUNPD
|UNPD World Population Prospects 2019 Revision
|2020/05/07
|YX;
|-
|SeriesForecastNetMigrationUNPDPreRev2012
|See PopMigrants
|2013/11/08
|Transformed data table by spreading out data in PopMigrants provided every 5 years
|-
|SeriesForecastOldageDependencyRatioConstFertUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/06
|MO,SK
|-
|SeriesForecastOldageDependencyRatioConstFertUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|MO,SK,AW
|-
|SeriesForecastOldageDependencyRatioConstMortUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/06
|MO,SK
|-
|SeriesForecastOldageDependencyRatioConstMortUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|MO,SK,AW
|-
|SeriesForecastOldageDependencyRatioHighUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/06
|MO,SK
|-
|SeriesForecastOldageDependencyRatioHighUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|MO,SK,AW
|-
|SeriesForecastOldageDependencyRatioInstRepUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/06
|MO,SK
|-
|SeriesForecastOldageDependencyRatioInstRepUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|MO,SK,AW
|-
|SeriesForecastOldageDependencyRatioLowUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/06
|MO,SK
|-
|SeriesForecastOldageDependencyRatioLowUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|MO,SK,AW
|-
|SeriesForecastOldageDependencyRatioMediumUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/06
|MO,SK
|-
|SeriesForecastOldageDependencyRatioMediumUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|MO,SK,AW
|-
|SeriesForecastOldageDependencyRatioNoChangeUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/06
|MO,SK
|-
|SeriesForecastOldageDependencyRatioNoChangeUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|MO,SK,AW
|-
|SeriesForecastOldageDependencyRatioZeroMigrationUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/10/06
|MO,SK
|-
|SeriesForecastOldageDependencyRatioZeroMigrationUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|MO,SK,AW
|-
|SeriesForecastPopBothSexes0MigrationUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopBothSexes0MigrationUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/13
|SJ
|-
|SeriesForecastPopBothSexesConstFertilityUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/12/27
|JW,RG
|-
|SeriesForecastPopBothSexesConstFertilityUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|JW,RG, AW
|-
|SeriesForecastPopBothSexesConstMortalityUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopBothSexesConstMortalityUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/13
|SJ
|-
|SeriesForecastPopBothSexesConstMortalityUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/12/27
|JW,RG
|-
|SeriesForecastPopBothSexesConstMortalityUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|JW,RG, AW
|-
|SeriesForecastPopBothSexesConstUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopBothSexesConstUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/13
|SJ
|-
|SeriesForecastPopBothSexesHighUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopBothSexesHighUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/13
|SJ
|-
|SeriesForecastPopBothSexesIIASASSP12018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/22
|YX
|-
|SeriesForecastPopBothSexesIIASASSP22018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/22
|YX
|-
|SeriesForecastPopBothSexesIIASASSP32018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/22
|YX
|-
|SeriesForecastPopBothSexesInstantRepUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/12/27
|JW,RG
|-
|SeriesForecastPopBothSexesInstantRepUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|JW,RG, AW
|-
|SeriesForecastPopBothSexesLowUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopBothSexesLowUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/13
|SJ
|-
|SeriesForecastPopBothSexesMedUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopBothSexesMedUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/13
|SJ
|-
|SeriesForecastPopBothSexesNoChangeUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopBothSexesNoChangeUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/13
|SJ
|-
|SeriesForecastPopBothSexesReplacementUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopBothSexesReplacementUNPD2015Rev
|<nowiki>http://esa.un.org/unpd/wpp/DVD/</nowiki>
|2015/08/13
|SJ
|-
|SeriesForecastPopBothSexesZeroMigrationUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/12/27
|JW,RG
|-
|SeriesForecastPopBothSexesZeroMigrationUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|JW,RG, AW
|-
|SeriesForecastPopConstantFemaleUNPD
|United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPopConstantMaleUNPD
|United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPopConstantTotalUNPD
|United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPopFemale0MigrationUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopFemaleConstMortalityUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopFemaleConstUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopFemaleHighUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopFemaleIIASASSP12018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/22
|YX
|-
|SeriesForecastPopFemaleIIASASSP22018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/22
|YX
|-
|SeriesForecastPopFemaleIIASASSP32018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/22
|YX
|-
|SeriesForecastPopFemaleLowUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopFemaleMedUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopFemaleNoChangeUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopFemaleReplacementUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopHighFemaleUNPD
|United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPopHighMaleUNPD
|United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPopHighTotalUNPD
|United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPopIIASASSP1
|See ForecastPopIIASASSP1Orig
|2013/11/13
|Transformed data table by interpolating data in ForecastPopIIASASSP1Orig provided every 5 years
|-
|SeriesForecastPopIIASASSP2
|See ForecastPopIIASASSP2Orig
|2013/11/13
|Transformed data table by interpolating data in ForecastPopIIASASSP2Orig provided every 5 years
|-
|SeriesForecastPopIIASASSP3
|See ForecastPopIIASASSP3Orig
|2013/11/13
|Transformed data table by interpolating data in ForecastPopIIASASSP3Orig provided every 5 years
|-
|SeriesForecastPopIIASASSP4
|See ForecastPopIIASASSP4Orig
|2013/11/13
|Transformed data table by interpolating data in ForecastPopIIASASSP4Orig provided every 5 years
|-
|SeriesForecastPopIIASASSP5
|See ForecastPopIIASASSP5Orig
|2013/11/13
|Transformed data table by interpolating data in ForecastPopIIASASSP5Orig provided every 5 years
|-
|SeriesForecastPopLowFemaleUNPD
|United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPopLowMaleUNPD
|United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPopLowTotalUNPD
|United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPopMale0MigrationUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopMaleConstMortalityUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopMaleConstUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopMaleHighUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopMaleIIASASSP12018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/22
|YX
|-
|SeriesForecastPopMaleIIASASSP22018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/22
|YX
|-
|SeriesForecastPopMaleIIASASSP32018REV
|<nowiki>http://dataexplorer.wittgensteincentre.org/wcde-v2/</nowiki>
|2019/11/22
|YX
|-
|SeriesForecastPopMaleLowUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopMaleMedUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopMaleNoChangeUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopMaleReplacementUNPD2012Rev
|<nowiki>http://esa.un.org/unpd/wpp/Excel-Data/population.htm</nowiki>
|2013/07/01
|AS
|-
|SeriesForecastPopMediumFemaleUNPDe
|United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPopMediumMaleUNPD
|United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPopMediumTotalUNPD
|United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPopulationBothSexesConstUNPD2010Rev
|<nowiki>http://esa.un.org/wpp/Excel-Data/population.htm</nowiki>
|2013/06/01
|AS
|-
|SeriesForecastPopulationBothSexesHighUNPD2010Rev
|<nowiki>http://esa.un.org/wpp/Excel-Data/population.htm</nowiki>
|2013/06/01
|AS
|-
|SeriesForecastPopulationBothSexesHighUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/12/27
|JW,RG
|-
|SeriesForecastPopulationBothSexesHighUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|JW,RG, AW
|-
|SeriesForecastPopulationBothSexesLowUNPD2010Rev
|<nowiki>http://esa.un.org/wpp/Excel-Data/population.htm</nowiki>
|2013/06/01
|AS
|-
|SeriesForecastPopulationBothSexesLowUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/12/27
|JW,RG
|-
|SeriesForecastPopulationBothSexesLowUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|JW,RG, AW
|-
|SeriesForecastPopulationBothSexesMediumUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/12/27
|JW,RG
|-
|SeriesForecastPopulationBothSexesMediumUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|JW,RG, AW
|-
|SeriesForecastPopulationBothSexesMedUNPD2010Rev
|<nowiki>http://esa.un.org/wpp/Excel-Data/population.htm</nowiki>
|2013/06/01
|AS
|-
|SeriesForecastPopulationBothSexesNoChangeUNPD2017Rev
|UNPD World Population Prospects 2017 Revision
|2017/12/27
|JW,RG
|-
|SeriesForecastPopulationBothSexesNoChangeUNPD2019Rev
|UNPD World Population Prospects 2019 Revision
|2020/04/20
|JW,RG, AW
|-
|SeriesForecastPopulationUNPDMed
|UNPD WPP 2019, WDI
|2021/01/05
|YX;
|-
|SeriesForecastPopUrban%UNPD
|World Urbanization Prospects: The 2014 Revision
|2015/09/25
|SJ
|-
|SeriesForecastPopUrbanShrNCARSSP1
|See ForecastPopUrbanShrNCARSSP1
|2014/09/16
|Transformed data table by interpolating data in ForecastPopUrbanShrNCARSSP1 provided every 5 years
|-
|SeriesForecastPopUrbanShrNCARSSP2
|See ForecastPopUrbanShrNCARSSP2
|2014/09/16
|Transformed data table by interpolating data in ForecastPopUrbanShrNCARSSP2 provided every 5 years
|-
|SeriesForecastPopUrbanShrNCARSSP3
|See ForecastPopUrbanShrNCARSSP3
|2014/09/16
|Transformed data table by interpolating data in ForecastPopUrbanShrNCARSSP3 provided every 5 years
|-
|SeriesForecastPopUrbanShrNCARSSP4
|See ForecastPopUrbanShrNCARSSP4
|2014/09/16
|Transformed data table by interpolating data in ForecastPopUrbanShrNCARSSP4 provided every 5 years
|-
|SeriesForecastPopUrbanShrNCARSSP5
|See ForecastPopUrbanShrNCARSSP5
|2014/09/16
|Transformed data table by interpolating data in ForecastPopUrbanShrNCARSSP5 provided every 5 years
|-
|SeriesForecastPopUrbanUNPD
|United Nations, Department of Economic and Social Affairs, Population Division (2012). World Urbanization Prospects: The 2011 Revision, CD-ROM Edition.
|2012/10/01
|AS
|-
|SeriesForecastPovRate1D90WPCSSP1
|Crespo-Cuaresma et al. (2018)
|2021/10/14
|CP
|-
|SeriesForecastPovRate1D90WPCSSP2
|Crespo-Cuaresma et al. (2018)
|2021/10/15
|CP
|-
|SeriesForecastPovRate1D90WPCSSP3
|Crespo-Cuaresma et al. (2018)
|2021/10/15
|CP
|}
{| class="wikitable"
|
|Series Name
|Source
|Last IFs Update
|Pulled By (Initials)
|Description
|-
|1
|Example Series
|[[FAOSTAT]]
|2022/07/27
|TZ
|The Example Series is pulled from [[FAOSTAT]] and is typically used to do stuff
|-
|2
|Example 2 Series
|[[World Bank]]
|2022/07/27
|TZ
|Link to [https://data.worldbank.org/ external source] in Master Sheet
|-
|3
|Example Formula
|N/A
|N/A
|N/A
|This is showcasing a formula insert
|}
{| cellspacing="0" border="1" bgcolor="#ffffff"
|+ '''DataDict'''
|-
! bgcolor="#c0c0c0" | <font style="font-size: 11pt;" face="calibri" color="#000000">Table</font>
! bgcolor="#c0c0c0" | <font style="font-size: 11pt;" face="calibri" color="#000000">Source</font>
! bgcolor="#c0c0c0" | <font style="font-size: 11pt;" face="calibri" color="#000000">Last IFs Update</font>
! bgcolor="#c0c0c0" | <font style="font-size: 11pt;" face="calibri" color="#000000">Pulled By (Initials)</font>
|- valign="top"
| <font style="font-size: 11pt;" face="calibri" color="#000000">ExampleSeries</font>
| <font style="font-size: 11pt;" face="calibri" color="#000000">FAO [insert link]</font>
| <font style="font-size: 11pt;" face="calibri" color="#000000">2015/04/10</font>
| TZ
|}

VideoTest

2021-03-15T19:50:53Z

Wikiadmin:

== Examples ==

=== YouTube ===

<span style="float:right;">Code:</span>
<nowiki>{{#ev:youtube|pSsYTj9kCHE|200|right}}</nowiki>
{{#ev:youtube|pSsYTj9kCHE|200|right}} Code:<nowiki>{{#ev:youtube|https://www.youtube.com/watch?v=pSsYTj9kCHE}}</nowiki>
{{#ev:youtube|https://www.youtube.com/watch?v=pSsYTj9kCHE}}<span style="float:right;">Code: </span><nowiki>{{#ev:youtube|pSsYTj9kCHE||right}}</nowiki>
{{#ev:youtube|pSsYTj9kCHE||right}} Code:<nowiki>{{#ev:youtube|pSsYTj9kCHE}}</nowiki>
{{#ev:youtube|pSsYTj9kCHE}}

2018-09-10T23:54:27Z

Wikiadmin:

The '''International Energy Agency commenced''' its operation in 1974 under the auspices of the Organization for Economic Co-operation and Development (OECD). The IEA is the energy forum for 26 Member countries, all from the OECD, to improve the world’s energy supply and to promote reliable databases for energy-related information. IEA member governments are committed to sharing energy information, to co-ordinating their energy policies and to co-operating in the development of rational energy programs. IEA publishes monthly reports on electricity, natural gas, prices, and the oil market. The [http://www.worldenergyoutlook.org/publications/ ''World Energy Outlook''] is the IEA's most comprehensive publication, and is considerd " the world’s most authoritative source of energy market analysis and projections."

The main IEA sources used by IFs are the '''''World Energy Balances (WEB) '''''<b>and </b>'''''World Energy Statistics (WES)''''',''' '''databases assocated with the ''World Energy Outlook.'' They contain variables such as the production, trade, and consumption of coal, oil, gas, electricity, heat, renewables, and waste for OECD countries and over 100 non-OECD countries.

= Data Acquisition =

Unlike most data used in IFs, IEA data from the WEB and WES are not open source. The data must be purchased from the IEA and is delivered on two CD-ROMs.[http://www.iea.org/bookshop/730-World_Energy_Statistics_and_Balances_2016 [1]] Each disc runs on a database management software program called Beyond 20/20 that comes loaded on the discs, along with the data. Financial support for the purchase of the IEA data is available from a University Library Association grant. Pardee successfully applied for grant funding through this program for the 2017 update with the help of staff at the Anderson Academic Commons at the University of Denver.

= Documentation =

Full documentation is available for each dataset detailing its contents, structure, definitions, geographical coverage, etc. 

[http://wds.iea.org/wds/pdf/worldbal_documentation.pdf World Energy Balances 2016 Database Documentation]

[http://wds.iea.org/wds/pdf/WORLDBES_Documentation.pdf World Energy Statistics 2016 Database Documentation]

= Batch Pull =

The IEA update is performed as a batch pull that includes '''138 series''' using the Batch Data Update feature in IFs. In the display, "IEA" is the Source and the "IEA Countries" country list is used for country concordance. For the Code Location in Source Data portion of the update form, the source Excel must be formatted so that each Code in Source term is in a different column. For example, SeriesEnImportsOilProductsIEA's Code in Source is "Imports.Oil products," so there should be two columns with "Imports" in one and "Oil products" in the next.

= Series Codes =

Because this is a batch pull, each series needs a Code in addition to a variable name to be imported. The Codes are listed in the DataDict, and should match the series name in the IEA source database. For the 2017 update, series on the WEB and WES discs were organized by two parameters, FLOW and PRODUCT, where FLOW is the first term of the Code and PRODUCT is the second term of the Code. [NOTE: Drag and drop FLOW, PRODUCT, UNIT, and COUNTRY to column and row headers to reconfigure the display in Beyond 20/20.]

'''Example'''

Variable: EnImportsOilProductsIEA

Code: Imports.Oil products

FLOW: Imports

PRODUCT: Oil products

[[File:IEA Beyond 2020 screenshot.png|800px|IEA Beyond 2020 screenshot.png]]

= Pulling and Formatting the Data =

== Pulling ==

Ideally, the IEA series are pulled from the discs in bulk. As of the 2017 update, Beyond 20/20 limits the number of records that can be exported at one time, preventing all the data from being exported at once; however, it is possible to pull all records by PRODUCT or FLOW. For example, it is possible to pull all natural gas or oil products series at once from the WEB disc. Pull the data by assembling the correct configuration in Beyond 20/20, then going to File>Save As and saving it as a .xls file. It is also possible to copy and past individual (or a few) series into an Excel by highlighting them, but not a large number of series at once. [NOTE: The directly exported Excel file did not work on Pardee computers due to a policy setting issue, so the data had to be copied and pasted into a new sheet to be manipulated]

[[File:IEA Beyond 2020 screenshot 2.png|800px|IEA Beyond 2020 screenshot 2.png]]

== Formatting ==

Once the series have been pulled by PRODUCT or FLOW, they need to be cleaned. Missing data are marked with a "..", "x", or "n," so remove these with a Find+Replace. The data can then be imported with the Batch Import tool using the Codes assocated with the FLOW and PRODUCT, along with the country name. It may be necessary to also clean the Codes, for example if there is a unit listed parenthetically after the name of the product (i.e. "Solar thermal (TJ-net)").

[[File:IEA Excel ex.png|800px|IEA Excel ex.png]]

= Conversions =

Most of the necessary conversion for these series are done automatically through the Batch Import form. However, 22 series had to be converted manually for the the 2017 update from terajoules (TJ) to kilotones of energy equivalent (ktoe). The conversion factor used for these series is from the [https://www.iea.org/statistics/resources/unitconverter/ IEA Unit Converter]: TJ value*0.0238845897. These series include:

{| border="0" cellpadding="0" cellspacing="0" width="320"
|-
| height="20" width="320" | EnConBiogasIndustrialIEA
|-
| height="20" | EnConBiogasOtherIEA
|-
| height="20" | EnConBiogasTotIEA
|-
| height="20" | EnConBiomassIndustrialIEA
|-
| height="20" | EnConBiomassOtherIEA
|-
| height="20" | EnConBiomassResidentialIEA
|-
| height="20" | EnConBiomassTotIEA
|-
| height="20" | EnConBiomassTransportIEA
|-
| height="20" | EnConSolarThermalTotIEA
|-
| height="20" | EnConSolarThermIndustrialIEA
|-
| height="20" | EnConSolarThermOtherIEA
|-
| height="20" | EnConSolarThermResidentialIEA
|-
| height="20" | EnExportsBiomassIEA
|-
| height="20" | EnExpProdBiogasCDIEA
|-
| height="20" | EnExpProdIndustrialWasteCDIEA
|-
| height="20" | EnExpProdMunicipalWasteNonRenewableCDIEA
|-
| height="20" | EnExpProdMunicipalWasteRenewableCDIEA
|-
| height="20" | EnExpProdnonspecPrimaryBiomassWasteCDIEA
|-
| height="20" | EnExpProdSolarThermalCDIEA
|-
| height="20" | EnImportsBiomassIEA
|-
| height="20" | EnProdBiomassIEA
|-
| height="20" | EnExpProdnonspecPrimaryBiomassWasteCDIEA
|}

= DataDict =

'''Variable: '''<span style="font-size: 13px;">Variable names were not changed from previous years this data was pulled, and no additional variables were added for the 2017 pull.</span>

'''Table: '''These were not changed from previous years this data was pulled. 

'''Code in Source: '''These were not changed from previous years this data was pulled.

'''Groups: '''These were not changed from previous years this data was pulled. 

'''Subgroups: '''These were not changed form previoys years this data was pulled.

'''Definitions and Units:''' These were not changed from previous years this data was pulled.

'''Extended Source Defn: '''All were marked as "No Extended Source" for 2017 pull. 

'''Units:''' These were not changed from previous years; the units used in this dataset are BBOE and GwHr.

'''Years: '''Years for every series were changed to available data provided through the database. Most series begin in 1960 with the exception of EnExportsOilIEA, EnImportsOiliIEA, and EnProdOilIEA, which begin in 1971. All extend through either 2014 or 2015 as of the 2017 update.

'''Source:''' The source name used in the 2017 update for all batch pull IEA series is "IEA (International Energy Agency) Batch Pull."

'''Original Source:''' The original source used in the 2017 update for all series is the "World Energy Outlook."

'''Notes: '''Notes were updated to reflect the source disc for the series (WEB or WES), any conversion factors used, and the appropriate initials.

'''Aggregation: '''Aggregations were not changed from pervious updates.

'''Disaggregation: '''Disaggregations were not changed from previous updates.

'''Name in source:''' Names were updated based on the name of each variable as it is displayed in the Beyond 20/20 database format; generally matches the Code in Source.

'''Decimal places: '''These were not changed from previous years this data was pulled.

'''Country Concordance: '''IEA Countries were used (and updated for the 2017 pull, see below).

'''Formula: '''These were not changed from previous years this data was pulled, and are either blank or convert data to BBOE or GwHr.

= Preprocessor Series =

Of the 138 IEA Batch Pull series, 24 are preprocessor. These series should be first priority in any IEA batch update. They include:

{| border="0" cellpadding="0" cellspacing="0" width="175"
|-
| height="20" width="175" | EnExportsCoalIEA
|-
| height="20" | EnExportsNatGasIEA
|-
| height="20" | EnExportsOilIEA
|-
| height="20" | EnExportsOilProductsIEA
|-
| height="20" | EnExportsPeatIEA
|-
| height="20" | EnExportsTotalIEA
|-
| height="20" | EnImportsCoalIEA
|-
| height="20" | EnImportsNatGasIEA
|-
| height="20" | EnImportsOilIEA
|-
| height="20" | EnImportsOilProductsIEA
|-
| height="20" | EnImportsPeatIEA
|-
| height="20" | EnImportsTotalIEA
|-
| height="20" | EnProdBiodieselIEA
|-
| height="20" | EnProdBiogasIEA
|-
| height="20" | EnProdCoalIEA
|-
| height="20" | EnProdGeothermIEA
|-
| height="20" | EnProdHydroIEA
|-
| height="20" | EnProdNatGasIEA
|-
| height="20" | EnProdNuclearIEA
|-
| height="20" | EnProdOilIEA
|-
| height="20" | EnProdSolarPhotoIEA
|-
| height="20" | EnProdSolarThermIEA
|-
| height="20" | EnProdTideWaveOceanIEA
|-
| height="20" | EnProdWindIEA
|}

= Non-Preprocessor Series =

There are 114 nonpreprocessor series included in the IEA update. They include:

{| border="0" cellpadding="0" cellspacing="0" width="64"
|-
| height="20" width="64" | EnConBiodieselTotIEA
|-
| height="20" | EnConBiodieselTransportIEA
|-
| height="20" | EnConBiogasIndustrialIEA
|-
| height="20" | EnConBiogasolineTotIEA
|-
| height="20" | EnConBiogasolineTransportIEA
|-
| height="20" | EnConBiogasOtherIEA
|-
| height="20" | EnConBiogasTotIEA
|-
| height="20" | EnConBiomassIndustrialIEA
|-
| height="20" | EnConBiomassOtherIEA
|-
| height="20" | EnConBiomassResidentialIEA
|-
| height="20" | EnConBiomassTotIEA
|-
| height="20" | EnConBiomassTransportIEA
|-
| height="20" | EnConCoalIndustrialIEA
|-
| height="20" | EnConCoalOtherIEA
|-
| height="20" | EnConCoalResidentialIEA
|-
| height="20" | EnConCoalTotIEA
|-
| height="20" | EnConCoalTransportIEA
|-
| height="20" | EnConCombustRenewWasteIndustrialIEA
|-
| height="20" | EnConCombustRenewWasteOtherIEA
|-
| height="20" | EnConCombustRenewWasteResidentialIEA
|-
| height="20" | EnConCombustRenewWasteTotIEA
|-
| height="20" | EnConCombustRenewWasteTransportIEA
|-
| height="20" | EnConElecIndustrialIEA
|-
| height="20" | EnConElecOtherIEA
|-
| height="20" | EnConElecResidentIEA
|-
| height="20" | EnConElecTotIEA
|-
| height="20" | EnConElecTransportIEA
|-
| height="20" | EnConGeothermIndustrialIEA
|-
| height="20" | EnConGeothermOtherIEA
|-
| height="20" | EnConGeothermResidentialIEA
|-
| height="20" | EnConGeothermTotIEA
|-
| height="20" | EnConNatGasIndustrialIEA
|-
| height="20" | EnConNatGasOtherIEA
|-
| height="20" | EnConNatGasResidentialIEA
|-
| height="20" | EnConNatGasTotIEA
|-
| height="20" | EnConNatGasTransportIEA
|-
| height="20" | EnConOtherBiofuelsIndustrialIEA
|-
| height="20" | EnConOtherBiofuelsTotIEA
|-
| height="20" | EnConOtherBiofuelsTransportIEA
|-
| height="20" | EnConSolarThermalTotIEA
|-
| height="20" | EnConSolarThermIndustrialIEA
|-
| height="20" | EnConSolarThermOtherIEA
|-
| height="20" | EnConSolarThermResidentialIEA
|-
| height="20" | EnExportsBiodieselIEA
|-
| height="20" | EnExportsBiogasolineIEA
|-
| height="20" | EnExportsBiomassIEA
|-
| height="20" | EnExportsCombustRenewWasteIEA
|-
| height="20" | EnExportsElecGwHrIEA
|-
| height="20" | EnExportsElecIEA
|-
| height="20" | EnExportsOtherBiofuelsIEA
|-
| height="20" | EnExpProdBioDieselsCDIEA
|-
| height="20" | EnExpProdBiogasCDIEA
|-
| height="20" | EnExpProdBiogasolineCDIEA
|-
| height="20" | EnExpProdCharcoalCDIEA
|-
| height="20" | EnExpProdIndustrialWasteCDIEA
|-
| height="20" | EnExpProdMunicipalWasteNonRenewableCDIEA
|-
| height="20" | EnExpProdMunicipalWasteRenewableCDIEA
|-
| height="20" | EnExpProdnonspecPrimaryBiomassWasteCDIEA
|-
| height="20" | EnExpProdOtherLiquidbiofuelsCDIEA
|-
| height="20" | EnExpProdOtherSourcesCDIEA
|-
| height="20" | EnExpProdPrimarySolidGasCDIEA
|-
| height="20" | EnExpProdSolarThermalCDIEA
|-
| height="20" | EnExpProdSPVCDIEA
|-
| height="20" | EnExpProdTideWaveOCeanCDIEA
|-
| height="20" | EnExpProdWindCDIEA
|-
| height="20" | EnImportsBiodieselIEA
|-
| height="20" | EnImportsBiogasolineIEA
|-
| height="20" | EnImportsBiomassIEA
|-
| height="20" | EnImportsElecGwHrIEA
|-
| height="20" | EnImportsElecIEA
|-
| height="20" | EnImportsOtherBiofuelsIEA
|-
| height="20" | EnOutputElecCoalCDIEA
|-
| height="20" | EnOutputElecCombustibleRenewableWasteCDIEA
|-
| height="20" | EnOutputElecCrudeNGLFeedstocksCDIEA
|-
| height="20" | EnOutputElecElectricityCDIEA
|-
| height="20" | EnOutputElecGasCDIEA
|-
| height="20" | EnOutputElecGeothermalCDIEA
|-
| height="20" | EnOutputElecHeatCDIEA
|-
| height="20" | EnOutputElecHydroCDIEA
|-
| height="20" | EnOutputElecNuclearCDIEA
|-
| height="20" | EnOutputElecOilProductsCDIEA
|-
| height="20" | EnOutputElecPeatCDIEA
|-
| height="20" | EnOutputElecSolarWindOtherCDIEA
|-
| height="20" | EnOutputElecTotalCDIEA
|-
| height="20" | EnProdBiogasolineIEA
|-
| height="20" | EnProdBiomassIEA
|-
| height="20" | EnProdCoalCDIEA
|-
| height="20" | EnProdCombustibleRenewableWasteCDIEA
|-
| height="20" | EnProdCombustRenewWasteIEA
|-
| height="20" | EnProdCrudeNGLFeedstocksCDIEA
|-
| height="20" | EnProdElectricityCDIEA
|-
| height="20" | EnProdGasCDIEA
|-
| height="20" | EnProdGeothermalCDIEA
|-
| height="20" | EnProdHeatCDIEA
|-
| height="20" | EnProdHydroCDIEA
|-
| height="20" | EnProdNuclearCDIEA
|-
| height="20" | EnProdOilProductsCDIEA
|-
| height="20" | EnProdOtherBiofuelsIEA
|-
| height="20" | EnProdPeatCDIEA
|-
| height="20" | EnProdSolarWindOtherCDIEA
|-
| height="20" | EnProdTotalCDIEA
|-
| height="20" | EnTPESCoalCDIEA
|-
| height="20" | EnTPESCombustibleRenewableWasteCDIEA
|-
| height="20" | EnTPESCrudeNGLFeedstocksCDIEA
|-
| height="20" | EnTPESElectricityCDIEA
|-
| height="20" | EnTPESGasCDIEA
|-
| height="20" | EnTPESGeothermalCDIEA
|-
| height="20" | EnTPESHeatCDIEA
|-
| height="20" | EnTPESHydroCDIEA
|-
| height="20" | EnTPESNuclearCDIEA
|-
| height="20" | EnTPESOilProductsCDIEA
|-
| height="20" | EnTPESPeatCDIEA
|-
| height="20" | EnTPESSolarWindOtherCDIEA
|-
| height="20" | EnTPESTotalCDIEA
|}

= Country Concordance =

There is a unique country concordance table for the IEA series called "IEA Countries." This table should be checked for accuracy at the time of each update. For the 2017 update, the following countries had to be updated (to the form listed):

{| border="0" cellpadding="0" cellspacing="0" width="279"
|-
| height="20" width="279" | Bosnia and Herzegovina
|-
| height="20" | Democratic Republic of the Congo
|-
| height="20" | Hong Kong (China)
|-
| height="20" | Democratic People's Republic of Korea
|-
| height="20" | Libya
|-
| height="20" | Moldova
|-
| height="20" width="279" | Mauritius
|-
| height="20" | Niger
|-
| height="20" | Suriname
|-
| height="20" | South Sudan
|-
| height="20" | Tanzania
|-
| height="20" | Viet Nam
|}

2018-09-07T22:09:30Z

Wikiadmin:

Workers in an economy supply the expertise and the efforts needed to produce goods and services. In return the labor receives wages that they use to meet their current and future consumption needs. On one hand, shortage of labor with required skills prevents economies from realizing their growth potential. On the other hand, individuals falling short of the right qualifications might remain unemployed or underemployed failing to secure income needed for a decent living. The ongoing adjustments to find the best match between skills, jobs and wages can only be studied through a dynamic model of the labor market.   

Such a model should go beyond providing a reasonable answer to the obvious question of why employment and wages go up and down. An aggregate labor market must deal with issues that have strong interconnections with various other dynamic changes in the greater society. What kind of dividend of deficit can a society expect from its labor force given the phase of demographic transition in which it is situated? How severely would aging affect the pool of working age adults? Might increasing female participation rates offset some of the losses from aging? What is the level of skills and educational attainment in a society? These supply phenomena move relatively slowly unless there are huge disruptions, like a war or famine, or an aggressive policy push. The demand side, in contrast, needs to be more responsive in adjusting wages and employment given the investment and technology in the various sectors of the broader economy. In general, though, the labor market demonstrates some sluggishness compared to the goods and services markets as it involves moving human beings with various limitations. Consumption of goods and services depend on the income earned by the labor. Uneven distribution of employment and wages among labors of various types or between labor and capital for a long period of time can give rise to persistent inequality in a society.     

== Conceptual Framework ==

Labor markets are markets for workers and jobs. In a labor market, employers meet their demand for labor with the supply of people willing to work at the wage the employers can offer. The employers raise the wage when there is a shortage of workers. Workers agree to take a lower wage when there are more of them than the firms need. In the real-world labor markets do not always clear at perfect equilibrium. Frinctional unemployment results for various reasons, for example, the search time between jobs. Structural unemployment can result from technology induced disruptions. Some unemployment could thus persist in the labor market even when there aren’t any short-term fluctuations. There is also the phenomenon of informal employment that consists of less sophisticated workers and entrepreneurs engaged in unregulated economic activities.  In a dynamic model that covers the entire economy, the real wage earned by the labor drives the income and social mobility.   

 

To understand the long-term dynamics of the labor market, we need also examine the deeper determinants of labor demand and supply, the determinants that can shift the curves. Labor demand changes over time with the changes in demand for goods and services and the labor input needed to produce those. Labor productivity itself improves with technological progress. Long term transitions in the supply of labor are mostly demographic.  

Labor supply is determined by the working age population and the share of that population who are available for participation in the workforce. The labor supply is relatively stable as the demographic changes are slow in pace. As the share of elderly in the population increases, a recent trend in many societies, the rate of participation declines. Some of the aging impacts will be offset by the greater female participation rates, a second trend that surfaces as economies develop and women attain more education. Educational attainment also drives the general skill level of workers, male and female. Specific skills are obtained through training and experience that augment the knowledge obtained through general and specialized education.     

It is the demand side that causes most of the short-term imbalances in the labor market.  In the long term, as said earlier, the important driver of demand for labor and their skills is technological progress. Labor requirement drops with advances in technology, more so for less skilled labor. Labor composition changes accordingly both within and across sectors. Rapid advances in technology can also cause disruption in the system when there is not much opening in the other sectors. Labor displacement is offset to some extent by the growth in the economy and the resulting increase in total demand.    

As we have already mentioned, employees maximize income and the firms minimize labor costs. When there are more laborers than the firms can hire, there is unemployment. Shifts in the rates of unemployment impacts wage, the price of labor. For example, wages drop in the event of rising unemployment as there are more people to hire from. Wage adjustments feed back to the demand for labor seeking to bring the market back to equilibrium.

The challenges around the conceptual distinction between unemployment and employment is further complicated by the phenomenon of informal employment. In many developing countries there is a large urban non-agricultural informal sector where low-skilled workers work for wages typically lower than a formal employment.

[[File:LMFlowchart1.png|frame|center|Description of the labor model]]

== Dominant Relations ==

The labor model in the International Futures system (IFs) balances the total supply of labor with the total labor demanded by all economic sectors. Total labor (LAB) is computed from the working age population and the labor participation rate. Population forecasts are obtained from the IFs demographic model. Participation rates (LABPARR) are computed by sex with a catchup algorithm for the female participation towards that for the male. Labor is also disaggregated by skill level, as determined by educational attainment, in a separate labor supply variable (LABSUP) which is used to distribute labor earnings by skill level. [** LABSUP do not affect the demand/supply balance now]

Labor demands (LABDEMS) are driven by sectoral technology functions used to compute the labor requirement by skill level for each unit of potential valued added in the sector. These labor coefficients (LABCOEFFS) are multiplied with the projected value added for the sector to compute the needed manpower. The balancing mechanisms determines the labor employed in each of the sectors (LABS).  

The balancing, in the current version of the model, can be done in one of the two ways. In the first method, total needs combined from all economic sectors is normalized to the available pool of labor computed by subtracting the unemployed from those who are at or looking for work. The rate of unemployment is kept at its natural rate for which we use the base year rate of unemployment. (** This might need to be changed for countries where the market is undergoing some abrupt transition.)

In the second balancing method, added in a recent revision of the model, total demand is equilibrated to supply through a CGE like market equilibrium model. An indexed wage (LABWAGEIND) and the rate of unemployment (LABUNEMPR) work as the equilibrating variables. As unemployment deviates from the target, PID algorithms send a signal for the wage to adjust. Wage adjustments cause adjustments in the “base” labor demands by sector computed from the labor-coefficient functions as described earlier. Wage signals also affects the labor participation rate. The magnitude of impact on the supply side is much lower than that on the demand side.

Wage and unemployment rate are aggregated for the total labor market. The wage index starts with a base year value of 1 and the unemployment rates start with the historical data for the base year. Initial year unemployment rate works as the target for long term unemployment.

== Key Dynamics ==

The following key dynamics are directly related to the dominant relations:

*Labor supply is determined from population of appropriate age in the population model (see its dominant relations and dynamics) and endogenous labor force participation rates, influenced exogenously by the growth of female participation.
*Labor demand is driven by sectoral demand functions driven by technological progress

== Structure and Agent System ==

{| border="0" cellspacing="0" cellpadding="0" width="0" style="width:502px;"
|-
| style="width:242px;height:49px;" |
'''System/Subsystem'''

| style="height:49px;" |
Labor market

|-
|
'''Organizing Structure'''

|
Labor supply by skill level and labor demand by sector for each skill category represented within an equilibrium-seeking model with wage and unemployment rate as the equilibrating variables

|-
|
'''Stocks'''

|
Population, labor, education,  accumulated technology

|-
|
'''Flows'''

|
Participation rate; Coefficients of labor demand; Employment (unemployment); Wage

|-
|
'''Key Aggregate ''''''Relationships '''

'''(illustrative, not comprehensive)'''

|
Labor supply is driven by demographic changes; Participation of female change over time; Labor requirement changes with technological development; Unemployment rate drives wage; Wage movements affect labor demand and participation rate

|-
|
'''Key Agent-Class Behavior ''''''Relationships'''

'''(illustrative, not comprehensive)'''

|
Households and work/leisure, and female participation patterns;

 

Firms and hiring;

 

|}

= Labor Model Data =

The labor supply and unemployment data that we use in our model is from International Labor Organization (ILO). For data on the demand side, we used data from the Global Trade Analysis Project. Wage variable used in the equilibration algorithm  is an index anchored to the base year of the model. IFs preprocessor prepared these data for model use using various estimation, conversion and reconciliation processes.     

== Definitional Issues ==

There are ambiguities in the way some of the labor market variables are defined. Labor participation rates and the rate of unemployment are two that need special attention.

 

The size of the labor supply available for economic activities is expressed with the labor force participation rate. ILO defines this as a “measure of the proportion of country’s working-age population that engages actively in the labor market, either by working or looking for work.”[[#_ftn1|[1]]] National labor force surveys and census data are used to estimate this rate. The definition of labor force here includes both employed and unemployed and the rate is expressed as a percentage of working-age population. Working-age population is defined here as the population above legal working-age. For international comparability, ILO adopts a convenient minimum threshold of fifteen years as working age and avoids putting any upper age limit. In practice, both the minimum and the upper-age limits can vary by country. For example, the working-age in the USA is sixteen years. In the Netherlands the upper age limit is seventy-five years, whereas South African data uses an upper age limit of 64[[#_ftn2|[2]]].

  

 

 

Ambiguities are more abundant in the definition of unemployment. ILO came up with a guideline on this as well. Per the ILO guideline, the unemployed are those among the working-age population who are not employed, are available for work and are actively looking for jobs[[#_ftn3|[3]]]; the unemployment rate is expressed as a percentage of those who are in the labor force. The availability and job-seeker status could be defined in different ways giving rise to incompatibility in data.  While there seems to be little room for disagreement on whether someone is at work or not, whether that work should be considered as employment is contested at many times.

The debates around the nature and type of employment can range from gainfulness to workplace setting. For example, a large number of workers in the low-income low-regulation developing countries work outside the purview of formal enterprises. According to an ILO estimate, more than half of the global labor force and more than 90% of Micro and Small Enterprises (MSEs) worldwide are in the so called informal economy[[#_ftn4|[4]]]. This might explain the apparently counterintuitive pattern of low unemployment rate in some low-income countries (e.g., 2.2% for Guatemala) and relatively higher numbers for some of the developed nations. The low numbers in the poorer countries hide the prevalence of extremely low wage jobs in the informal sectors in these countries, the only options for the vulnerable people in the absence of any kind of social safety net.  Contrastingly, in the developed countries the so called ‘gig-economy’ is attracting more and more workers who choose to work on their own rather than in a formal enterprise. ILO conceptualization makes the informal work part of total employment. The stacked Venn diagram below presents the relationship among the labor force metric including informal employment. IFs also models informal economy both in terms of GDP share and employment share of informal in the total economy and employment.
<div><br/>
----
<div id="ftn1">
[[#_ftnref1|[1]]] [http://www.ilo.org/ilostat-files/Documents/description_LFPR_EN.pdf http://www.ilo.org/ilostat-files/Documents/description_LFPR_EN.pdf]
</div><div id="ftn2">
[[#_ftnref2|[2]]] [https://www.bls.gov/fls/flscomparelf/technical_notes.pdf https://www.bls.gov/fls/flscomparelf/technical_notes.pdf]
</div><div id="ftn3">
[[#_ftnref3|[3]]] The definitions around employed and unemployed were agreed upon by nations through the ‘Resolution concerning statistics of work, employment and labor underutilization’ adopted by the 19<sup>th</sup> International Conference of Labor Statisticians (ICLS) in 2013. (Bourmpoula et al, 2017: 6).
</div><div id="ftn4">
[[#_ftnref4|[4]]] [http://www.ilo.org/global/topics/employment-promotion/informal-economy/lang--en/index.htm http://www.ilo.org/global/topics/employment-promotion/informal-economy/lang--en/index.htm]

Incompatibility can arise in the treatment of various population groups for the computation of the denominator for participation and unemployment rates[[#_ftn1|[1]]]. ILO makes their best efforts to make adjustments in the data for the sake of international comparison. For example, ILO asks countries that deviate from ILO guidelines to collect data needed to convert national figures to ILO figures. It is likely that some differences might have slipped past the adjustment process. We use ILO data and continue to update our database from ILO on a regular basis.
<div><br/>
----
<div id="ftn1">
[[#_ftnref1|[1]]] For example, the USA excludes people in the defense services and those in the prisons or mental asylums in their computation of the civilian non-institutional working-age population. There are also variations in the treatments of students, those recently laid-off, and family workers. Please see [https://stats.bls.gov/opub/mlr/2000/06/art1full.pdf https://stats.bls.gov/opub/mlr/2000/06/art1full.pdf] for a discussion 

The GTAP data that we use for the demand side of the labor model is taken as labor headcounts and is thus immune from ambiguities around rate computation. As far as we could gather[[#_ftn1|[1]]], the data includes both the formal and informal employment. We also need mention here that the GTAP database reconciles the labor data to calibrate the general equilibrium modeling that they do for the trade analyses. The data could thus be somewhat different from data collected through direct surveys. As a CGE model IFs is benefited by using calibrated data.
<div><br/>
----
<div id="ftn1">
[[#_ftnref1|[1]]] Please see the webpage for documentation on GTAP labor data statistic: [https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=3248 https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=3248]

== Sources of Labor Data ==

IFs model uses ILO data for labor participation rates and for the unemployment rate. The data in IFs are collected from World Bank’s World Development Indicators (WDI) database. According to their documentation, WDI obtained the data from the ILO.

 

Unemployment rate data in IFs is also collected from WDI. Like the participation rates WDI also obtains their unemployment data from ILO.[[#_ftn1|[1]]]

For employment and labor demand data IFs uses Purdue University’s Global Trade Analysis Project (GTAP) database. GTAP collects and compiles factor payments, imports, and intersectoral flow data to calibrate CGE models of national economies for trade and other analyses. In their ninth release in 2016, GTAP published data for 140 countries and regions for the year 2011. The earlier GTAP releases, which the IFs model used for its previous versions, compiled data for the years 2004 and 2007. GTAP data release aggregates economic activities into 57 commodities and activities following International Standard Industrial Classification (ISIC). The IFs model maps the 57 GTAP sectors into six economic sectors of IFs – agriculture, energy, material and mining, manufacture, services and ICT. Appendix 2 presents two tables listing the sectors mapping between IFs and GTAP, and GTAP and ISIC. GTAP further disaggregates labor in each of the commodities/activities into five occupation and skill categories following the nine category International Standard Classification of Occupations (ISCO-88). The IFs model collapses five GTAP occupation categories into the simple IFs dichotomy of skilled and unskilled. The mapping of occupations and skills are presented in the third appendix of this document.  

The data in the main GTAP database, prepared for CGE modeling, are all in dollar unit and thus do not include labor headcounts. We have used a ‘satellite’ GTAP database[[#_ftn2|[2]]] for labor headcounts by skill and sector. The labor counts were also used to plot labor requirement functions for each of the IFs economic sectors and skill categories. The wage share of skilled and unskilled labor in each sector was computed using the labor headcounts and labor payments.
<div><br/>
----
<div id="ftn1">
[[#_ftnref1|[1]]] The name of the IFs table is SeriesLaborUnemploy%
</div><div id="ftn2">
[[#_ftnref2|[2]]] See Weingarden and Tsigas, 2010 for the details on the preparation of this database.

== Scope of IFs Labor Model ==

The IFs labor model simulates labor market at the national level. Each national labor market forecasts labor demand and employment by six sectors - agriculture, energy, mining, manufacture, services and ICT- and two skill levels - skilled and unskilled. The supply side do not have sectoral representation. IFs forecasts total labor force and labor supply by the two skill levels. Labor participation rate is computed in IFs by gender. Wage and unemployment rate is forecast for the overall labor market only.  

== Labor Model Pre-processor ==

IFs system has a data preprocessor that prepares the initial conditions for the model using historical databases and various assumptions and estimated relationships to fill in the missing data and make data adjustments as needed[[#_ftn1|[1]]]. Pre-processing of labor data takes place in two IFs pre-processing modules. Labor participation rate data, which is closely related to demography, is processed in the population pre-processor. Unemployment rate and labor demand data are processed in the economic pre-processor.  
<div><br/>
----
<div id="ftn1">
[[#_ftnref1|[1]]] For more details, please see ‘The Data Pre-Processor of International Futures (IFs)” by Barry B. Hughes (with Mohammod Irfan) at [http://www.ifs.du.edu/assets/documents/preprocessorv1_0.pdf http://www.ifs.du.edu/assets/documents/preprocessorv1_0.pdf]

=== Pre-processing Labor participation rate and unemployment ===

For initializing labor participation rates by sex (LABPARR) the model uses the historical values from the base year or the most recent year with data[[#_ftn1|[1]]]. For countries with no data we use regression relationships of the participation rates, for men and for women, with income per capita. The relationships, shown in the next figure, are not great. However, the functions affect only five countries for which we do not have any data at all: Grenada, Kosovo, Micronesia, Seychelles and South Sudan[[#_ftn2|[2]]].

 
<div><br/>
----
<div id="ftn1">
[[#_ftnref1|[1]]] The data tables that the IFs model pre-processor use for initializing labor participation rates are: SeriesLaborParRate15PlusFemale%, SeriesLaborParRate15PlusMale%.
</div><div id="ftn2">
[[#_ftnref2|[2]]] We should try to collect participation rate for these countries from country sources.

IFs data series SeriesLaborUnemploy% is used for the initialization of unemployment rates. That series has annual unemployment rates for one or more years between 1980 and 2016, for 181 of the 186 IFs countries. For five countries (Grenada, Kosovo, Micronesia, Taiwan and South Sudan[[#_ftn1|[1]]]) there is no data at all. To fill in the missing data we use a regression function of unemployment rate against GDP per capita. Like the participation rate functions, this function does also not have much of an explanatory power.
<div><br/>
----
<div id="ftn1">
[[#_ftnref1|[1]]] These are pretty much the same countries for which we do not have any participation rate data. This indicates ILO might have some administrative limitation in reporting data for these countries (notice Kosovo, Seychelles etc in the list)

=== Pre-processing labor demand and unemployment from GTAP ===

The IFs economic pre-processor reads labor headcount and labor payment data from the GTAP database. In addition to performing sector and occupation/skill mapping between GTAP and IFs, pre-processor also use the labor headcount data to compute labor coefficient functions, the principal driver of labor demand in the IFs model.

Labor coefficients are defined as the amount of labor needed to produce one unit of value added in a certain sector of the economy. The coefficients depend on the level of technology. The model uses GDP per capita as an indicator of the level of technological development. IFs pre-processor estimates labor coefficient functions for labor of different skill levels for the different sectors of the economy.

The functions are derived from GTAP data we described earlier. The model pre-processor reads data on factor payments and aggregates data from 57 GTAP sectors to six IFs sectors. Shares of payment going to skilled and less-skilled workers in each of the sectors are then computed. Countries are grouped according to their level of technological development as represented by per capita income. For each group labor coefficients are obtained by taking an average of the country coefficients.  We also convert labor payments data to labor headcount data using per capita income as a proxy for average wage. Labor coefficients and income are then plotted into a power function relationship. The figure below plots some of those labor functions.  The functions fit quite well with a power law formulation[[#_ftn1|[1]]].
<div><br/>
----
<div id="ftn1">
[[#_ftnref1|[1]]] This is interesting given the prevalence of power law in all sorts of scale-up activities (West 2017).

= Labor Model Flowcharts =

The diagram below shows an outline of the IFs labor model. On the supply side, the total labor pool (LAB) is computed from the labor force participation rates, by sex, (LABPARR) and the population (POP) in their working age, i.e., population over 15 (POP15TO65 + POPGT65). Participation rates are driven by the demographic changes with an additional negative impact from aging and a catch-up in female participation rate. Skill level of the labor supply (LABSUP) is driven by the level of development (GDPPCP) and the demand for labor is driven by labor-coefficients (LABCOEFFS) computed from coefficient function representing shifts in demand with technological progress as proxied by the level of development (GDPPCP). Coefficients computed by sector and skill gives the labor requirement by skill type for each unit of value added (VADD) in the sector. Multiplying these coefficients with projected value added in each sector gives an estimate of the labor demand.  

Any surplus or shortage between total labor demand and supply is used to compute the rate of unemployment. Deviations in the unemployment rate (LABUNEMPR) signal wage changes through an equilibrium seeking algorithm. Both demand and supply respond to the wage variable (LABWAGEIND) indexed to the base year. The supply responses are much slower than the demand responses.

[[File:FLOCHART2.png|frame|center|Labor Model Flowchart]]

= Labor Model Equations =

== Overview ==

The labor model is a part of the IFs economic model that uses labor model output as an input to a Cobb-Douglas production function in a multi-sector general equilibrium model. IFs is a very long-run dynamic model. Instead of computing fixed short-run equilibria that clear the relevant markets IFs uses an equilibrium seeking algorithm to balance the various systems over the longer run. The algorithm is known as the PID (proportion-integral-derivative) controller algorithm and is used widely in industrial control systems. It makes equilibrium seeking variables in IFs move towards a set target. The algorithm works by computing a multiplier based on the movement of the variable towards the target, as obtained by an integral (I) of the path traversed, and the rate of movement towards the target, the derivative term. The multiplier is applied on the process variable (the P term), or a response variable, in the subsequent time period. In the labor model, unemployment rate (LABUNEMPR) is used as the process variable and the PID multiplier is used on the wage rate (LABWAGEIND). Job availability (LABDEMS) and participation rate (LABPARR) get affected by changes in wage.   

Throughout this section we use subscripts and notations common to other modules of IFs. For example, we use t for time period. Subscripts p and r represent sex and country/region, respectively, c is the cohort number, with cohort 1 representing the newborns, cohort1 the the one-year to four-year-olds, cohort two five-year to nine-year-olds etc. Values for p are 1 for male, 2 for female and 3 for both sexes combined. For economic sectors we use s and for skill levels sk.

== Labor Supply: Equations ==

The total pool of labor is computed by multiplying the population of working age with the labor force participation rate (LABPARR).  Population forecasts come from IFs demographic model which computes both five-year and single-year age-sex cohorts (''agedst'', ''fagedst'').  

The labor model forecasts participation rates by country/region  and gender. Participation rates in the model move with the changes in the demographic composition. Female participation rates, which have historically been lower than the same for the male in all societies, but has moved up in modern and affluent societies, get a catch-up boost in the model. Participation rates can also change when there is labor shortage or surplus and the employers try to incentivize or discourage workers by changing wage. This last impact is much less slow than similar wage impacts on the demand side.

== Labor Participation Rate ==

Labor participation rates (''LABPARR'') for male and female are first initialized with historical data.

:<math>LABPARR_{r,p}= LABPARR_{r,p,t=1} </math>

A ‘catch-up’ boost is added to the female participation rate. The boost added (FemParLabMul) starts at a third of a percentage point and withers away following a non-linear path as the female rates approaches the catch-up target (FemParTar), The maximum catch-up that can occur over the horizon of the model is thirty percent.

:<math>FemParTar_{r}=Amin(LabParRI_{r,p=1},LabParRI_{r,p=2}+30)</math>

:<math>FemParLabMul_{r}=(FemParTar_{r}-LABPARR_{r,p=2,t-1})/(FemParTar_{r}-LABPARR_{r,p=2,t-1})</math>

:<math>LABPARR_{r,p=2,t}=LABPARR_{r,p=2,t-1}+FemParLabMul_{r}*0.3</math>

Next, we compute and apply the aging impact on the participation rate. As the relative share of people over the retirement age increases, the participation rate declines. The model keeps track of the changes in the demographic ratio (PopAgingRatio) of the population who are in their prime working age of 15 to 64 (POPWORKING) to those at a common retirement age of sixty-five or older (POPGT65). This ratio declines as countries age. The percentage drop in the ratio comparative to the base year is scaled appropriately to compute the aging impact (aging_impact). This impact is added to the male and female labor participation rates, with the impact on the female participation rate being slightly lower than that on male rates.

:<math>POPAgingRatio_{r,t}=POPWORKING_{r,t}/POPGT65_{r,t}</math>

:<math>aging_impact_{r,t}=100*((POPAgingRatio_{r,t}/POPAgingRatio_{r,t=1})-1)*0.2</math>

:<math>LABPARR_{r,p=1,t}= LABPARR_{r,p=1,t}+aging_impact_{r,t} </math>

:<math>LABPARR_{r,p=2,t}= LABPARR_{r,p=1,t}+aging_impact_{r,t}*0.95 </math>

Participation rates respond slowly to changes in wage and unemployment rate. The impact is implemented through a wage impact factor computed from annual changes in the wage index (labwageimpact). The base participation rates can be changed by model user through two model parameters: a direct multiplier on the participation rate (labparm), or one that changes participation by moving the retirement age (labretagem)

:<math>LABPARR_{r,p,t}= LABPARR_{r,p,t}*(1-labwageimpact*0.05)*labparm_{r,p,t}*labretagem_{r,p,t}</math>

Total participation rate (LABPARRr,p=3,t) is computed by an weighted average of male and female participation rates.

:<math>LABPARR_{r,p=3,t}= (sum_{p=1 to 2}sum_{c=4 to 21}(agedst{r,c,p,t}*LABPARR_{r,p,t}))/(sum_{p=1 to 2}sum_{c=4 to 21}agedst{r,c,p,t})</math>

== Total Labor ==

Finally, the total number of labor available for work (LAB) is computed by multiplying the total participation rate with the population of fifteen-year-olds or older.

:<math>LAB_{r,t}= LABPARR_{r,p=3,t}*sum_{p=1 to 2,c=4 to 21}agedst_{r,c,p,t}</math>

== Labor by skill level ==

The labor model forecasts labor supply (LABSUP) by two skill categories. The variable (''LABSUP'') is initialized in the pre-processor by reading the employment by skill/occupation (''LABEMPS'') data from GTAP[[#_ftn1|[1]]]  and adding the unemployment numbers. We assume same unemployment rate (''LABUMEMPR'') for skilled and unskilled labor.

:<math>LABSUP_{r,t=1,sk}=sum_{s=1 to 6}(LABEMPS_{r,s,t=1}/(1-(LABUNEMPR_{r,t=1}/100))</math>

The model forecasts labor by skill through a model of the skilled share of the labor. Education, training, exposure, and experience of the employees all improve with the level of development. The model captures this with an analytic function of the skilled share (perskilled) driven by GDP per capita at PPP (GDPPCP) -

:<math>perskilled_{r}=f(GDPPCP_{r})</math>

Among the causal drivers of skill, education is considered to be the most proximate. Education is strongly correlated with the level of development, the deeper driver of skill in the model. However, the recent increase in education and/or a policy driven educational expansion might add to the impact of education on skill. Additional impacts from education on skill, when there is any, is computed through an expected function formulation. For example, in a society where an average adult has more (or less) education than the adults in other societies at that level of development, the skill share is given a slight upward push (or downward pull). The expectation function is a logarithmic function of educational attainment of working age population (EDYRSAG15) driven by GDP per capita at PPP. Attainment above (or below) the expected level (YearsEdExp) is computed by the function output (YearsEd) adjusted for country situation (yearseddiff). The percentage adjustment to the skilled share (LabSupSkiAdj) is computed using additional (limited) education, i.e., the difference between actual (EDYRSAG15) and expected values of educational attainment, expressed as a percentage of the expected value. The adjustment is scaled appropriately and peters off over time.

:<math>YearsEd_{r,t}= f(GDPPCP_{r,t})</math>

:<math>yearsdeddiff_{r}= EDYRSAG15_{r,p=3,t=2}-YearsEd_{r,t=2}</math>

:<math>YearsEdExp_{r,t}=YearsEd_{r,t}+yearsdeddiff_{r}</math>

:<math>LabSupSkiAdj_{r,t}=0.3*(EDYRSAG15_{r,p=3,t=2}*YearsEdExp_{r,t})/YearsEd_{r,t}</math>

:<math>LabSupSkiAdj_{r,t}=ConvergeOverTime(0,LabSupSkiAdj_{r,t},70)</math>

:<math>perskilled_{r,t}= perskilled_{r,t}*(1+LabSupSkiAdj_{r,t})</math>

The skilled share (perskilled) is multiplied with the total labor supply (LAB) to obtain the number of labors who are skilled (LABSUPskilled)

:<math>LABSUP_{r,skilled,t}=LAB_{r,p,t}*perskilledI_{r,t} </math>

As a last step, the model adjusts for the country specific variations in the skilled labor count not captured by the deeper and the proximate models. This is done by saving a ratio (LABSUPSkilledRI) of the actual historical data and the model computed value in the initial year. In the subsequent years this ratio is used to adjust the skilled labor forecast gradually.

:<math>LABSUPCompSkilled_{r}=LAB_{r}*perskilled_{r,t=1}/100 </math>

:<math>LABSUPSkilledRI_{r}=LABSUP_{r,skilled,t=1}/LABSUPCompSkilled_{r}</math>

:<math>LABSUP_{r,skilled,t}= LABSUP_{r,skilled,t}*ConvergeOverTime(LABSUPSkilledRI_{r},1,85)</math>

Number of unskilled labor is obtained by subtracting the skilled labor from the total pool.

:<math>LABSUP_{r,unskilled,t}= LAB_{r,p,t}- LABSUP_{r,skilled,t}</math>

== Labor Demand: Equations ==

IFs economic model forecasts production in six economic sectors. IFs labor model computes the longer-term and shorter-term determinants of demand for skilled and unskilled labor (LABDEMS) for the production processes. The long-term drivers of labor requirement are technological progress or the lack of it. In the shorter-term wage affects the labor demand most. Wage in turn is affected by labor supply or skill shortage.

The IFs model divides economic activities into six economic sectors – agriculture, energy, materials, manufacture, services and information, and communication technologies. Workers in the IFs labor model are disaggregated into two skill types. While the skill composition varies by the technology used in the sector and starts tilting towards the more skilled with the progress in technology, absolute number of labors needed to produce the same output goes down with technological development for both skilled and unskilled labor. This is illustrated in the next figure which plots the changes in labor requirement against GDP per capita at PPP, a proxy for level of development. Agriculture is a much less skill-intensive process than the manufacture, however, with technological progress skill requirement improves rapidly in both sectors. The IFs labor model computes these labor requirement functions in the model pre-processor. As we have already described in the pre-processor section, the computation of these functions use GTAP data on employment by occupation and economic activity. Appendices 3 and 4 lists sector and occupation mapping between GTAP and IFs.

These functions are used to compute the labor coefficients (LABCOEFFS), i.e., number of skilled and unskilled labor needed to produce unit amount of output with the technology available, for which we use GDP per capita at PPP as a proxy.

:<math>LABCOEFFS_{r,sk,s,t}= f(GDPPCP_{r})</math>

manufacture, services and ICTech) and the subscrip sk stands for skill categories with 1 denoting unskilled and 2 skilled. The labor coefficients obtained from the analytical functions require some adjustments to incorporate country deviations from the functions for various factors not captured in the regression relationship. The first of these adjustments is a gradual removal of impacts of short-run fluctuations in output and labor from the computation of labor coefficient. This adjustment is applied on the coefficients computed from the function. The equation below shows a simplified form of these computations.

:<math>LabCoeffAdjFac_{r,k,s,t}=f(igdpr_{r,t=2},(LAB_{r,t=2}/LAB_{r,t=1}),(LABCOEFFS_{r,t}/LABCOEFFS_{r,t-1}))</math>

:<math>LABCOEFFS_{r,sk,s,t}=LABCOEFFS_{r,sk,s,t}(1-LabCoeffAdjFac_{r,k,s,t})</math>

Model users can use a global parameter (labcoeffsm) to change the labor coefficients by skill level for any or all of the six sectors –

:<math>LABCOEFFS_{r,sk,s,t}= LABCOEFFS_{r,sk,s,t}*'''labcoeffsm_{s,sk}'''</math>

To forecast the total labor demand, the labor coefficients (LABCOEFFS) are multiplied to the total projected output for each of the economic sectors. The forecast is adjusted for any discrepancy between data and model. The adjustment factor (LABDemsAdjFac) is computed as the initial ratio between the actual and computed employment. Actual employment is obtained from historical data (LABEMPS) processed using the GTAP database. The computed employment is obtained by multiplying the labor coefficients (LABCOEFFS) with the final output of the sector (VADD).

:<math>LabDemsAdjFac_{r,s,sk}= LABEMPS_{r,s,sk,t=1}/(VADD_{r,s,t=1}*LABCOEFFS_{r,sk,s,t})</math>

The projected output is obtained by applying the growth rate (IGDPRCOR) on the sectoral value added from the previous year (VADD). The total labor demand is given by the product of the labor coefficients, projected output, demand adjustments and wage impacts (labwageimpactmul) and the number 1000 which adjusts the units for the equation. Wage impact comes from the level of unemployment and is computed in an equilibration process described in the next section. Model users can use a multiplicative parameter (labdemsm) to slide the demand upward or downward.

:<math>LABDEMS_{r,s,sk,t}=1000*VADD_{r,s,t-1}*(1+IGDPRCOR_{r})*LABCOEFFS_{r,sk,s,t}*LabDemsAdjFac_{r,s,sk}*labwageimpactmul_{r,s,sk}*'''labdemsm_{r,s}'''</math>

== Unemployment and Wage: Labor Market Equilibration ==

The IFs labor model balances the labor market through an equilibrium seeking algorithm rather than computing an exact equilibrium at each time step. We use an algorithm borrowed from the control systems engineering. This PID controller algorithm, described also in the IFs economic model documentation, works by computing corrective signals for equilibrating variables using the deviations of a buffer variable, for example unemployment rate (LABUNEMPR), from a target value. The signal is computed from two quantities, the distance of the buffer from the target and the current rate of change of the buffer. The computation is tuned with PID elasticities to avoid oscillations. The computed signal is applied on the variable/s which need to be balanced, for example, demand and supply in the event of a market equilibration, thus getting closer to a balance at each step of simulation. The target value for the buffer variable and the tuning parameters of the control algorithm are obtained through rules-of-thumb and model calibration. The IFs labor model uses unemployment rate (LABUNEMPR) as the buffer variable for the market equilibration of labor demand and labor supply. The multiplier (i.e., corrective signal) obtained from the PID is applied on the wage index (LABWAGEIND). Changes in wage indices comparative to the base year, moderated through a second PID controller, is used to compute the final signal (labwageimpactmul) that drives labor demand and labor supply. Even though the model forecasts labor demand by sector and skill, and computes labor supply for both skill types, the equilibration algorithm works over the entire pool of labor. In other words, we assume that the skills are replaceable across sectors and the lack (or abundance) of jobs affects skilled and unskilled persons equally.

At each annual timestep, the model computes the unemployment rate (LABUNEMPR) as the gap in between the total supply of labor (LAB) and the total demand. The gap (EmplGap) is expressed as a share of the total labor, the standard way to express unemployment rate.

:<math>sumld=sum_{s,sk}LADEMS_{r,s,sk,t}</math>

:<math>EmplGap= LAB_{r,t}*sumld</math>

:<math>LABUMENPR_{r,t}= (EmplGap/LAB_{r,t})*100</math>

As the target value (LabUnEmpRateTar) for the PID controller that modulates unemployment rate we use either the historical unemployment rate or a ten percent unemployment rate when the historical rate is higher than ten. Model users can override the historical target through a model parameter (labunemprtrgtval).

:<math>LABUMENPRi_{r,t}= LABUMENPR_{r,t}</math>

:<math>LabUnempRateTarget_{r}=labunemptargetval_{r}</math>
:<math>If LabUnempRateTarget_{r}=0,
LabUnempRateTarget_{r}= AMIN(LABUMENPRi_{r,t},10) </math>

Unemployment rate target, when it is different from the base year value, is reached gradually with a convergence period of forty years . The target rate is converted to count (LabUnEmplTar) to make it equivalent to the employment gap (EmplGap) computed earlier.

:<math>LabUnEmplTar_{r}= LAB_{r,t}*ConvergeOverTime(LABUMENPRi_{r,t},0,100)</math>

The first order difference (Diffl1) between the target unemployment and the demand-supply gap is used to compute a second order difference (Diffl2) accounting for changes in the rate of movement. The two differences and the PID multipliers (elwageunemp1, elwageunemp2) are provided to the PID function (ADJSTR). Working age population (POP15TO65r,t) works as the scaling base of the PID controller. The controller algorithm gives a multiplier (mullw) that is used in the subsequent year to adjust wage.

:<math>Diffl1_{t}=LabUnEmplTar_{r}-EmplGap</math>

:<math>Diffl2_{t}=Diffl1_{t}-Diffl1_{t-1}</math>

:<math>mullw_{r,t}= ADJSTR(POP15TO65_{r,t},Diffl1_{t},Diffl2_{t},elwageunemp1_{r},elwageunemp2_{r})</math>

Wage adjustments affect demand and supply with an increase in wage drawing demand downward and supply upward. The opposite affects occur with a downward movement of wage. The wage variable affected by the PID multiplier (LABWAGEIND) is an index initialized at one. We use an indexed rather than a dollar wage in the equilibration process to avoid affecting the process from other economic phenomena that affects wage, for example, a rise in real wage as GDP or the labor share of income grows.

:<math>LABWAGEIND_{r,t=1}=1</math>

In the subsequent years of the model run, the wage index is first adjusted with the equilibration signal obtained from the unemployment rate PID controller in the previous period

:<math>LABWAGEIND_{r,t=1}= LABWAGEIND_{r,t=1}* mullw_{r,t-1} </math>

A wage impact (labwageimpact) is then computed using the changes in the wage index relative to the base value. The impact is smoothed with a moving average algorithm.

:<math>labwageimpact_{r}= labwageimpact_{r,t-1}*0.9+ (1-LABWAGEIND_{r,t})*0.1</math>

The smoothed impact is used as the equilibration signal for labor supply. As we have already described in the section on labor supply, a small fraction of the impact (labwageimpact) is applied to the labor participation rate. The impact is scaled down to account for the slow pace of changes on the supply side.

:<math>LABPARR_{r,p,t}= LABPARR_{r,p,t}*(1-labwageimpact_{r,t}*0.05)</math>

For the impacts of wage on labor demand we use a second PID multiplier as opposed to using the changes in wage index that we have done on the supply side. The second PID uses the wage index itself as the process variable and uses the base year value of 1 as the target. The reason we had to use this second PID is to control the pace at which wage disequilibrium can affect demand, especially in the event of an abrupt shock. The smoothing and scaling down that works on the supply side is not enough to control oscillations on the demand side.

:<math>Diffl1_{t}=LABWAGEIND_{r,t=1}-1</math>

:<math>Diffl2_{t}=LABWAGEIND_{r,t}-LABWAGEIND_{r,t-1} </math>

:<math>mullw_{r,t}= ADJSTR(POP15TO65_{r,t},Diffl1_{t},Diffl2_{t},ellabwage1_{r},ellabwage1_{r})</math>

A second impact factor (labwageimpactmul) is computed using the correction signal from this second multiplier:

:<math>labwageimpactmul_{r,t}= labwageimpactmul_{r,t-1}*mullw_{r,t}</math>

This impact factor is applied on the labor demand as described in the section on labor demand.

:<math>LABDEMS_{r,s,sk,t}= LABDEMS_{r,s,sk,t}* labwageimpactmul_{r,t}</math>

== Informal Labor ==

IFs forecast labor and GDP share of the informal sector. Informal labor forecast is not explicitly endogenized in the labor market though. They are rather driven by development, skill and regulatory factors[[#_ftn1|[1]]]. However, the productivity and revenue impacts of changes in informality affects output and thus labor demand implicitly as a very distal driver.
<div><br/>
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Version notes 7.36 (September 2018)

2018-09-07T22:01:35Z

Wikiadmin:

Aquastat data

2018-09-07T21:57:51Z

Wikiadmin:

Most of the data used in the water preprocessor comes from the AQUASTAT database. [http://www.fao.org/nr/water/aquastat/main/index.stm http://www.fao.org/nr/water/aquastat/main/index.stm]<span style="font-size:medium;"> </span>

The AQUASTAT database can be queried on-line and the query results can be downloaded in CSV (table or flat) format. The current database regroups data per 5-year period and shows for each variable the value for the most recent year during that period, if available. For example, if for the period 2003-2007 data are available for the year 2004 and for the year 2006, then the value for the year 2006 is shown. Also, for many variables no time series can be made available yet due to lack of sufficient data. Data collection began in 1958.<br/><br/>Data for the variable [4313] "Area equipped for irrigation: total" is collected by and available in both AQUASTAT and FAOSTAT and harmonization between AQUASTAT and FAOSTAT takes place on a regular basis to ensure consistency between the two. The difference between the two is that AQUASTAT only enters data for the year given in the reference, while FAOSTAT fills all years from 1961 onwards by inter- and extrapolation from the common data-points. Thus, time series on this variable can be found under [http://faostat3.fao.org/download/E/EL/E FAOSTAT land], choosing the last variable in "items": Total area equipped for irrigation. For other non-water related time-series on food and agriculture see the [http://faostat3.fao.org/home/E FAOSTAT home page].

= Metadata =

== Update Frequency ==

==== Varies by Main Database category and sub-category: ====

#Geography and population category: Every year (through FAOSTAT for land use and population and undernourishment, World Bank for GDP, UNDP for HDI and GII).
#Water resources category: These are long-term average annual values and therefore remain the same over the years. A comprehensive review had been undertaken in 2014.
#Water use category and Irrigation and drainage development category: For Africa, Southern and Central America & Caribbean, and Asia: between 1 and 10 years, depending on data availability which is checked at least every 5 years for each country, and with a thorough update (full dataset) every 10 years together with the country profile update. For Europe, Northern America, Australia and New Zealand: depends on data availability from Eurostat and OECD.
#Updates of data for some specific sub-categories are being done in collaboration with others, as and when data become available, such as: wastewater sub-category in collaboration with IWMI; conservation agriculture sub-category in collaboration with Conservation Agriculture expert groups; access to improved drinking water source sub-category data are provided by the WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation.
#Some of the variables are updated during major review exercises (see the other datasets below).

== AquaStat Questionnaires and Guidelines ==

AQUASTAT uses questionnaires and prepares guidelines with detailed definitions and instructions, implements projects to strengthen national capacities, and holds workshops to clarify some of the more complex data concepts. Survey information is as follows:

To reach the above objective, it has been decided to proceed as follows, with two surveys:

*Every 5-10 years: a detailed global survey to prepare/update country profiles and regional syntheses. This document refers to this survey, which is prepared on the basis of a detailed questionnaire filled in at country level by national and regional experts, under the supervision of FAO/NRL.
*Every year: a small global survey to ensure regular updating of the existing country profiles, of key changes at country level, especially on the area equipped for irrigation and on the institutional and policy aspects. It is done by concerned institutions, which are willing to participate, and is managed in the regional and central offices of FAO.

The 5-10 year survey aims at preparing national country profiles in a homogeneous way. It ensures participation of national experts, in charge of the information collection and report drafting at the country level, and validation by FAO experts. The experts are provided with:

*A detailed questionnaire to be completed for each country at national level (and sub-national level for some variables) on the basis of existing available information
*Detailed guidelines for preparing a country profile and gathering qualitative information
*Explanatory notes and definitions to ensure consistency in the use of concepts and words and facilitate computation

=== Costs ===

Costs should be expressed in US$ (United States Dollars) in the questionnaire and country profiles. The conversion used to pass from the local currency to US$ should be the one that was valid in the year to which the value refers and should be indicated in the comments. 

== Definitions ==

Definitions for every series can be found in this document: [http://www.fao.org/nr/water/aquastat/sets/aq-5yr-guide_eng.pdf&nbsp http://www.fao.org/nr/water/aquastat/sets/aq-5yr-guide_eng.pdf&nbsp];

== DataDict ==

'''Variable: '''Names were not changed from previous years this data was pulled. New variables were assigned names that are consistent with variables of similar topics.

'''Table: '''These were not changed from previous years this data was pulled. New variables were assigned based on the variable title and consistency.

'''Groups: '''These were not changed from previous years this data was pulled. New variables were assigned groups based on consistency with variables of similar topics. New Irrigation series were given groups: Agriculture, Infrastructure, Water. 

'''Subgroups: '''These were not changed form previoys years this data was pulled. New Irrigation data was given the Subgroup: Irrigation.

'''Definitions and Units:''' This categories were not changed from previous years. New variables were given definitions based on the consise definitions provided in the AquaStat database. Units were also provided in the data base.

'''Years: '''Years for every series were changed to available data provided through the database. Years vary between different series. The aquastat database calculates years in 5 year incriments. This five year incriments go back to 1958. The most recent incriment is 2013-2017. In the datadict, these incrimental periods are not used. Instead, only actual data recorded for the earliest specific year to the last specific year is used.

'''Source:''' Source for all AquaStat series were given AQU BATCH PULL.

'''Original Source:''' The original source for all series is the AquaStat database.

Notes and Last IFs Update were updated accordingly.

'''Aggregation: '''Aggregations were not changed from pervious updates. New variables were assigned aggregations based on the type of variable and the Units used.

'''Disaggregation''' was consistently GDP.

'''Name in source''' is based on the name each variable was given in the AquaStat database.

'''Code in Source: '''All codes were changed to match the exact variable names present when downloading the data from the database. The downloaded names were different from the name in source.

'''Decimal places: '''This category was left blank in order to avoid rounding exact data.

'''Country Concordance: '''FAO countries were used.

== Series Updated ==
<p style="text-align: center;"></p>
{| border="1" bgcolor="#ffffff" cellspacing="0"
|+ '''DataDict'''
|-
! bgcolor="#c0c0c0" style="text-align: left;" | <font face="Calibri" color="#000000">Variable</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">DesalinatedWater</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">IrrigatedCropIntensity</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">IrWaterReq</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">IrWaterWith</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandCultivatedArea</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandEquipIrActual</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandEquipIrFullControl</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandEquipIrFullControlActual</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIr%Grain</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrAreaSalinized</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrEquipDrained</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrEquipGround</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrHarvestedCropArea</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrWaterLogged</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">TotalDamCapacity</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WasterwaterTreated</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WasteWaterDirectNotTreated</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WastewaterIrDirectTreated</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WasteWaterLandEquipDirectNotTreated</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WasteWaterLandEquipDirectTreated</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WastewaterProduced</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WastewaterTreatedReused</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterDependencyRatio</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterDesalinated</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterGroundEntering</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterGroundLeaving</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterGroundProdInternal</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterGroundTotal</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterGroundWithD</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterResExploitGround</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterResExploitSurface</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterResOverlap</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterResTotalExploit</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterResTotalRenew</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterResTotalRenewGround</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterResTotalRenewSurface</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterSurfaceWithD</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterTotalRenewPC</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterTotalWithd</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterTotalWithdPC</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterTotalWithdSector</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterTotalWithdSources</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterWith%Agric</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterWith%Fresh</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterWith%Household</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterWith%Ind</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterWithAgr%FreshAquastat</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterWithdAgriculture</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterWithdIndustrial</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterWithdMunicipal</font>
|}

== Series that will soon be updated ==

{| border="1" bgcolor="#ffffff" cellspacing="0"
|+ '''DataDict'''
|-
! bgcolor="#c0c0c0" | <font face="Calibri" color="#000000">Variable</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrActual%Equip</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrAreaEquip</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrEquip%Cultivated</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrEquip%Potential</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrEquip%WaterManaged</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrEquipActual</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrEquipMixed</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrEquipSurface</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">LandIrPotential</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">WaterTotalAgManagedArea</font>
|}

== New Series added ==

*Direct use of not treated municipal wastewater for irrigation purposes 
*Irrigated crop intensity 
*Area equipped for irrigation by surface water 
*Area equipped for irrigation by groundwater 
*Area equipped for irrigation by mixed surface water and groundwater 
*Area equipped for irrigation by direct use of treated municipal wastewater 
*Area equipped for irrigation by direct use of non-treated municipal wastewater 
*Area equipped for irrigation by direct use of agricultural drainage water 
*Area equipped for irrigation by desalinated water
*Irrigation water withdrawal
*Irrigation water requirement
*Direct use of treated municipal wastewater for irrigation purposes
*area equipped for irrigation: actually irrigated
*area equipped for full control irrigation: total
*Area equipped for full control irrigation: actually irrigated

== Preprocessor Series ==

Unknown since the model is currently in development

== Country Coverage ==

Every country, with the exception of Kosovo, is included in the database. However, available data for each country varies by series.

{| border="1" bgcolor="#ffffff" cellspacing="0"
|+ '''FAO Country Translation'''
|-
! bgcolor="#c0c0c0" | <font face="Calibri" color="#000000">IFs Countries</font>
! bgcolor="#c0c0c0" | <font face="Calibri" color="#000000">FAO Countries</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">United Arab Emirates</font>
| <font face="Calibri" color="#000000">United Arab Emirates</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Afghanistan</font>
| <font face="Calibri" color="#000000">Afghanistan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Albania</font>
| <font face="Calibri" color="#000000">Albania</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Armenia</font>
| <font face="Calibri" color="#000000">Armenia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Angola</font>
| <font face="Calibri" color="#000000">Angola</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Argentina</font>
| <font face="Calibri" color="#000000">Argentina</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Austria</font>
| <font face="Calibri" color="#000000">Austria</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Australia</font>
| <font face="Calibri" color="#000000">Australia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Azerbaijan</font>
| <font face="Calibri" color="#000000">Azerbaijan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Bosnia and Herzegovina</font>
| <font face="Calibri" color="#000000">Bosnia and Herzegovina</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Barbados</font>
| <font face="Calibri" color="#000000">Barbados</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Bangladesh</font>
| <font face="Calibri" color="#000000">Bangladesh</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Belgium</font>
| <font face="Calibri" color="#000000">Belgium</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Burkina Faso</font>
| <font face="Calibri" color="#000000">Burkina Faso</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Bulgaria</font>
| <font face="Calibri" color="#000000">Bulgaria</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Bahrain</font>
| <font face="Calibri" color="#000000">Bahrain</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Burundi</font>
| <font face="Calibri" color="#000000">Burundi</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Benin</font>
| <font face="Calibri" color="#000000">Benin</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Brunei</font>
| <font face="Calibri" color="#000000">Brunei Darussalam</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Bolivia</font>
| <font face="Calibri" color="#000000">Bolivia (Plurinational State of)</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Brazil</font>
| <font face="Calibri" color="#000000">Brazil</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Bahamas, The</font>
| <font face="Calibri" color="#000000">Bahamas</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Bhutan</font>
| <font face="Calibri" color="#000000">Bhutan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Botswana</font>
| <font face="Calibri" color="#000000">Botswana</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Belarus</font>
| <font face="Calibri" color="#000000">Belarus</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Belize</font>
| <font face="Calibri" color="#000000">Belize</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Canada</font>
| <font face="Calibri" color="#000000">Canada</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Congo, Democratic Republic of</font>
| <font face="Calibri" color="#000000">Democratic Republic of the Congo</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Central African Republic</font>
| <font face="Calibri" color="#000000">Central African Republic</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Congo, Republic of</font>
| <font face="Calibri" color="#000000">Congo</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Switzerland</font>
| <font face="Calibri" color="#000000">Switzerland</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Cote d'Ivoire</font>
| <font face="Calibri" color="#000000">Côte d'Ivoire</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Chile</font>
| <font face="Calibri" color="#000000">Chile</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Cameroon</font>
| <font face="Calibri" color="#000000">Cameroon</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">China</font>
| <font face="Calibri" color="#000000">China</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Colombia</font>
| <font face="Calibri" color="#000000">Colombia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Costa Rica</font>
| <font face="Calibri" color="#000000">Costa Rica</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Cuba</font>
| <font face="Calibri" color="#000000">Cuba</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Cape Verde</font>
| <font face="Calibri" color="#000000">Cabo Verde</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Cyprus</font>
| <font face="Calibri" color="#000000">Cyprus</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Czech Republic</font>
| <font face="Calibri" color="#000000">Czech Republic</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Germany</font>
| <font face="Calibri" color="#000000">Germany</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Djibouti</font>
| <font face="Calibri" color="#000000">Djibouti</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Denmark</font>
| <font face="Calibri" color="#000000">Denmark</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Dominican Republic</font>
| <font face="Calibri" color="#000000">Dominican Republic</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Algeria</font>
| <font face="Calibri" color="#000000">Algeria</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Ecuador</font>
| <font face="Calibri" color="#000000">Ecuador</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Estonia</font>
| <font face="Calibri" color="#000000">Estonia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Egypt, Arab Republic of</font>
| <font face="Calibri" color="#000000">Egypt</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Eritrea</font>
| <font face="Calibri" color="#000000">Eritrea</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Spain</font>
| <font face="Calibri" color="#000000">Spain</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Ethiopia</font>
| <font face="Calibri" color="#000000">Ethiopia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Finland</font>
| <font face="Calibri" color="#000000">Finland</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Fiji</font>
| <font face="Calibri" color="#000000">Fiji</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Micronesia, Fed. Sts.</font>
| <font face="Calibri" color="#000000">Micronesia (Federated States of)</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">France</font>
| <font face="Calibri" color="#000000">France</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Gabon</font>
| <font face="Calibri" color="#000000">Gabon</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">United Kingdom</font>
| <font face="Calibri" color="#000000">United Kingdom</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Grenada</font>
| <font face="Calibri" color="#000000">Grenada</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Georgia</font>
| <font face="Calibri" color="#000000">Georgia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Ghana</font>
| <font face="Calibri" color="#000000">Ghana</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Gambia, The</font>
| <font face="Calibri" color="#000000">Gambia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Guinea</font>
| <font face="Calibri" color="#000000">Guinea</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Equatorial Guinea</font>
| <font face="Calibri" color="#000000">Equatorial Guinea</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Greece</font>
| <font face="Calibri" color="#000000">Greece</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Guatemala</font>
| <font face="Calibri" color="#000000">Guatemala</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Guinea-Bissau</font>
| <font face="Calibri" color="#000000">Guinea-Bissau</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Guyana</font>
| <font face="Calibri" color="#000000">Guyana</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Hong Kong</font>
| <font face="Calibri" color="#000000">China, Hong Kong SAR</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Honduras</font>
| <font face="Calibri" color="#000000">Honduras</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Croatia</font>
| <font face="Calibri" color="#000000">Croatia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Haiti</font>
| <font face="Calibri" color="#000000">Haiti</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Hungary</font>
| <font face="Calibri" color="#000000">Hungary</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Indonesia</font>
| <font face="Calibri" color="#000000">Indonesia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Ireland</font>
| <font face="Calibri" color="#000000">Ireland</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Israel</font>
| <font face="Calibri" color="#000000">Israel</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">India</font>
| <font face="Calibri" color="#000000">India</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Iraq</font>
| <font face="Calibri" color="#000000">Iraq</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Iran, Islamic Republic of</font>
| <font face="Calibri" color="#000000">Iran (Islamic Republic of)</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Iceland</font>
| <font face="Calibri" color="#000000">Iceland</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Italy</font>
| <font face="Calibri" color="#000000">Italy</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Jamaica</font>
| <font face="Calibri" color="#000000">Jamaica</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Jordan</font>
| <font face="Calibri" color="#000000">Jordan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Japan</font>
| <font face="Calibri" color="#000000">Japan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Kenya</font>
| <font face="Calibri" color="#000000">Kenya</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Kyrgyz Republic</font>
| <font face="Calibri" color="#000000">Kyrgyzstan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Cambodia</font>
| <font face="Calibri" color="#000000">Cambodia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Comoros</font>
| <font face="Calibri" color="#000000">Comoros</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Kosovo</font>
| <br/>
|- valign="TOP"
| <font face="Calibri" color="#000000">Korea, Democratic People's Republic of</font>
| <font face="Calibri" color="#000000">Democratic People's Republic of Korea</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Korea, Republic of</font>
| <font face="Calibri" color="#000000">Republic of Korea</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Kuwait</font>
| <font face="Calibri" color="#000000">Kuwait</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Kazakhstan</font>
| <font face="Calibri" color="#000000">Kazakhstan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Laos, People's Democratic Republic</font>
| <font face="Calibri" color="#000000">Lao People's Democratic Republic</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Lebanon</font>
| <font face="Calibri" color="#000000">Lebanon</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">St. Lucia</font>
| <font face="Calibri" color="#000000">Saint Lucia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Sri Lanka</font>
| <font face="Calibri" color="#000000">Sri Lanka</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Liberia</font>
| <font face="Calibri" color="#000000">Liberia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Lesotho</font>
| <font face="Calibri" color="#000000">Lesotho</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Lithuania</font>
| <font face="Calibri" color="#000000">Lithuania</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Luxembourg</font>
| <font face="Calibri" color="#000000">Luxembourg</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Latvia</font>
| <font face="Calibri" color="#000000">Latvia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Libya</font>
| <font face="Calibri" color="#000000">Libya</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Morocco</font>
| <font face="Calibri" color="#000000">Morocco</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Moldova</font>
| <font face="Calibri" color="#000000">Republic of Moldova</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Montenegro</font>
| <font face="Calibri" color="#000000">Montenegro</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Madagascar</font>
| <font face="Calibri" color="#000000">Madagascar</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Macedonia, Former Yugoslav Republic of</font>
| <font face="Calibri" color="#000000">The former Yugoslav Republic of Macedonia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Mali</font>
| <font face="Calibri" color="#000000">Mali</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Myanmar</font>
| <font face="Calibri" color="#000000">Myanmar</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Mongolia</font>
| <font face="Calibri" color="#000000">Mongolia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Mauritania</font>
| <font face="Calibri" color="#000000">Mauritania</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Malta</font>
| <font face="Calibri" color="#000000">Malta</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Mauritius</font>
| <font face="Calibri" color="#000000">Mauritius</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Maldives</font>
| <font face="Calibri" color="#000000">Maldives</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Malawi</font>
| <font face="Calibri" color="#000000">Malawi</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Mexico</font>
| <font face="Calibri" color="#000000">Mexico</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Malaysia</font>
| <font face="Calibri" color="#000000">Malaysia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Mozambique</font>
| <font face="Calibri" color="#000000">Mozambique</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Namibia</font>
| <font face="Calibri" color="#000000">Namibia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Niger</font>
| <font face="Calibri" color="#000000">Niger</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Nigeria</font>
| <font face="Calibri" color="#000000">Nigeria</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Nicaragua</font>
| <font face="Calibri" color="#000000">Nicaragua</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Netherlands</font>
| <font face="Calibri" color="#000000">Netherlands</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Norway</font>
| <font face="Calibri" color="#000000">Norway</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Nepal</font>
| <font face="Calibri" color="#000000">Nepal</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">New Zealand</font>
| <font face="Calibri" color="#000000">New Zealand</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Oman</font>
| <font face="Calibri" color="#000000">Oman</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Panama</font>
| <font face="Calibri" color="#000000">Panama</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Peru</font>
| <font face="Calibri" color="#000000">Peru</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Papua New Guinea</font>
| <font face="Calibri" color="#000000">Papua New Guinea</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Philippines</font>
| <font face="Calibri" color="#000000">Philippines</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Pakistan</font>
| <font face="Calibri" color="#000000">Pakistan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Poland</font>
| <font face="Calibri" color="#000000">Poland</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Puerto Rico</font>
| <font face="Calibri" color="#000000">Puerto Rico</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Palestine</font>
| <font face="Calibri" color="#000000">Occupied Palestinian Territory</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Portugal</font>
| <font face="Calibri" color="#000000">Portugal</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Paraguay</font>
| <font face="Calibri" color="#000000">Paraguay</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Qatar</font>
| <font face="Calibri" color="#000000">Qatar</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Romania</font>
| <font face="Calibri" color="#000000">Romania</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Serbia</font>
| <font face="Calibri" color="#000000">Serbia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Russian Federation</font>
| <font face="Calibri" color="#000000">Russian Federation</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Rwanda</font>
| <font face="Calibri" color="#000000">Rwanda</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Saudi Arabia</font>
| <font face="Calibri" color="#000000">Saudi Arabia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Solomon Islands</font>
| <font face="Calibri" color="#000000">Solomon Islands</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Seychelles</font>
| <font face="Calibri" color="#000000">Seychelles</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Sudan</font>
| <font face="Calibri" color="#000000">Sudan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Sweden</font>
| <font face="Calibri" color="#000000">Sweden</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Singapore</font>
| <font face="Calibri" color="#000000">Singapore</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Slovenia</font>
| <font face="Calibri" color="#000000">Slovenia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Slovak Republic</font>
| <font face="Calibri" color="#000000">Slovakia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Sierra Leone</font>
| <font face="Calibri" color="#000000">Sierra Leone</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Senegal</font>
| <font face="Calibri" color="#000000">Senegal</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Somalia</font>
| <font face="Calibri" color="#000000">Somalia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Suriname</font>
| <font face="Calibri" color="#000000">Suriname</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Sudan South</font>
| <font face="Calibri" color="#000000">South Sudan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Sao Tome and Principe</font>
| <font face="Calibri" color="#000000">Sao Tome and Principe</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">El Salvador</font>
| <font face="Calibri" color="#000000">El Salvador</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Syrian Arab Republic</font>
| <font face="Calibri" color="#000000">Syrian Arab Republic</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Swaziland</font>
| <font face="Calibri" color="#000000">Swaziland</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Chad</font>
| <font face="Calibri" color="#000000">Chad</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Togo</font>
| <font face="Calibri" color="#000000">Togo</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Thailand</font>
| <font face="Calibri" color="#000000">Thailand</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Tajikistan</font>
| <font face="Calibri" color="#000000">Tajikistan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Timor-Leste</font>
| <font face="Calibri" color="#000000">Timor-Leste</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Turkmenistan</font>
| <font face="Calibri" color="#000000">Turkmenistan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Tunisia</font>
| <font face="Calibri" color="#000000">Tunisia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Tonga</font>
| <font face="Calibri" color="#000000">Tonga</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Turkey</font>
| <font face="Calibri" color="#000000">Turkey</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Trinidad and Tobago</font>
| <font face="Calibri" color="#000000">Trinidad and Tobago</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Taiwan, China</font>
| <font face="Calibri" color="#000000">China, Taiwan Province of</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Tanzania</font>
| <font face="Calibri" color="#000000">United Republic of Tanzania</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Ukraine</font>
| <font face="Calibri" color="#000000">Ukraine</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Uganda</font>
| <font face="Calibri" color="#000000">Uganda</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">United States</font>
| <font face="Calibri" color="#000000">United States of America</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Uruguay</font>
| <font face="Calibri" color="#000000">Uruguay</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Uzbekistan</font>
| <font face="Calibri" color="#000000">Uzbekistan</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">St. Vincent and the Grenadines</font>
| <font face="Calibri" color="#000000">Saint Vincent and the Grenadines</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Venezuela</font>
| <font face="Calibri" color="#000000">Venezuela (Bolivarian Republic of)</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Vietnam</font>
| <font face="Calibri" color="#000000">Viet Nam</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Vanuatu</font>
| <font face="Calibri" color="#000000">Vanuatu</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Samoa</font>
| <font face="Calibri" color="#000000">Samoa</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Yemen, Republic of</font>
| <font face="Calibri" color="#000000">Yemen</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">South Africa</font>
| <font face="Calibri" color="#000000">South Africa</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Zambia</font>
| <font face="Calibri" color="#000000">Zambia</font>
|- valign="TOP"
| <font face="Calibri" color="#000000">Zimbabwe</font>
| <font face="Calibri" color="#000000">Zimbabwe</font>
|}

= Instructions =

#Download the data from the Aquastat Database. [http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en]. Select all countries and all years. There are too many variables to download all variables at once. Divide the variables by topics (ie geography and population, water resources, etc) download this data via the "Flat" option.
#Change the codes in the Datadict for every variable downloaded in this Excel file. The codes need to match to match the variables listed in the downloaded data exactly. 
#Check to ensure no changes are needed in the FAO Country translation. In the most recent update China, Sudan and South Sudan all needed to be updated.
#Upload data in IFs using the batch pool option. There will be multiple excel sheets, as the AquaStat data cannot download all variables at once. After the first excel sheet is updated, unselect data that was imported; otherwise this data will be uploaded again with a new excel sheet, and you will lose the already imported data.
#Vet. The most recent update reveiled errors in data in some series. You may need extensive vetting.
#Some series do not contain enough data in the database to be updated. These include:

LandIrEquipDesalinated

LandIrEquipDirectAg

LandIrHarvest%Equip

LandIrHarvest%FullControl

LandIrPotentialReached 