Pardee Wiki - User contributions [en]

Research Papers/Projects

2025-08-22T03:11:47Z

Yun.Xie:

Listed are research papers and projects (cited in APA) that have been used in IFs tables. Most of these resources are one time data sources because they usually do not get updated by the authors. Therefore, they might be replaced in the future, but they are important references to have in the databases.
{| class="wikitable"
|+
!Research Paper/Project
!Research Citation and Link
!Table in IFs
!UsedInPreprocessor
!Last IFs Update
|-
|[[Historical GDP/GDPPC/Population|New Estimates of Over 500 Years of Historic GDP and Population Data]]
|Fariss, C. J., Anders, T., Markowitz, J. N., & Barnum, M. (2022). New Estimates of Over 500 Years of Historic GDP and Population Data. ''Journal of Conflict Resolution'', ''66''(3), 553-591. <nowiki>https://doi-org.du.idm.oclc.org/10.1177/00220027211054432</nowiki> (Original work published 2022)
|HistoricalGDP
HistoricalGDPPC

HistoricalPOP
|No
|8/21/2025
|-
|Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty.
|Crespo Cuaresma, J., Fengler, W., Kharas, H. et al. Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty. ''Palgrave Commun'' 4, 29 (2018). <nowiki>https://doi.org/10.1057/s41599-018-0083-y</nowiki>
|ForecastPovRate1D90WPCSSP1
ForecastPovRate1D90WPCSSP2

ForecastPovRate1D90WPCSSP3

ForecastPovRate1D90WPCSSP4

ForecastPovRate1D90WPCSSP5
|No
|10/14/2021
10/15/2021

10/15/2021

10/15/2021

10/15/2021
|-
|Determinants of Nuclear Weapons Proliferation
|Jo, D.-J., & Gartzke, E. (2007). Determinants of Nuclear Weapons Proliferation. ''The Journal of Conflict Resolution'', 51(1), 167–194. <nowiki>https://doi.org/10.1177/0022002706296158</nowiki>
|SecNuclearProdCap
|No
|5/3/2010
|-
|Economic impacts of tipping points in the climate system
|S. Dietz, J. Rising, T. Stoerk, & G. Wagner. (2021). Economic impacts of tipping points in the climate system, ''Proc. Natl. Acad. Sci. U.S.A.'' 118 (34) e2103081118, <nowiki>https://doi.org/10.1073/pnas.2103081118</nowiki>.
|ForecastGDP2011PCPPPOECDSSP1RCP26TP
ForecastGDP2011PCPPPOECDSSP2RCP45TP

ForecastGDP2011PCPPPOECDSSP3RCP60TP

ForecastGDP2011PCPPPOECDSSP4RCP60TP

ForecastGDP2011PCPPPOECDSSP5RCP85TP
|No
|12/4/2023
12/4/2023

12/4/2023

12/4/2023

12/4/2023
|-
|From hot rock to useful energy: A global estimate of enhanced geothermal systems potential.
| Aghahosseini, A., & Breyer, C. (2020). From hot rock to useful energy: A global estimate of enhanced geothermal systems potential. Applied Energy, 279, Article 115769. <nowiki>https://doi.org/10.1016/j.apenergy.2020.115769</nowiki>
|EnPotentialGeothermal

EnPotentialGeothermalSustainable
|No
Yes
|8/2/2024
8/2/2024
|-
|Fractionalization
|Alesina, A., Devleeschauwer, A., Easterly, W., Kurlat, S., & Wacziarg, R. (2003). Fractionalization. ''Journal of Economic Growth'' (Boston, Mass.), 8(2), 155–194. <nowiki>https://doi.org/10.1023/A:1024471506938</nowiki>
|EthnicFracEthinicity
EthnicFracLanguage

EthnicFracReligion
|No
|9/8/2010
9/8/2010

9/8/2010
|-
|Long-term economic growth projections in the Shared Socioeconomic Pathways.
|Dellink, R., Chateau, J., Lanzi, E., & Magné, B. (2017). Long-term economic growth projections in the Shared Socioeconomic Pathways. Global Environmental Change, 42, 200–214. <nowiki>https://doi.org/10.1016/j.gloenvcha.2015.06.004</nowiki>
|ForecastTFPDellinkSSP1
ForecastTFPDellinkSSP12015

ForecastTFPDellinkSSP2

ForecastTFPDellinkSSP22015

ForecastTFPDellinkSSP3

ForecastTFPDellinkSSP32015

ForecastTFPDellinkSSP4

ForecastTFPDellinkSSP42015

ForecastTFPDellinkSSP5

ForecastTFPDellinkSSP52015

TFPDellinkHist

TFPDellinkHistPctChng

ForecastTFPDellinkSSP1PcntChng

ForecastTFPDellinkSSP2PcntChng

ForecastTFPDellinkSSP3PcntChng

ForecastTFPDellinkSSP4PcntChng

ForecastTFPDellinkSSP5PcntChng
|No
|6/26/2019
6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019
|-
|Shadow Economies and Corruption All Over the World: Revised Estimates for 120 Countries
|Andreas Buehn, & Friedrich Schneider. (2007). Shadow Economies and Corruption All Over the World: Revised Estimates for 120 Countries Shadow Economies and Corruption All Over the World: Revised Estimates for 120 Countries. ''Economics. The Open-Access, Open-Assessment e-Journal''.
|EconShadow%GDP
|No
|4/9/2010
|-
|Quantitative maps of groundwater resources in Africa
|MacDonald, A. M., Bonsor, H. C., Dochartaigh, B. É. Ó., & Taylor, R. G. (2012). Quantitative maps of groundwater resources in Africa. ''Environmental Research Letters'', 7(2), 24009–7. <nowiki>https://doi.org/10.1088/1748-9326/7/2/024009</nowiki>
|WaterResGroundAfrica
|Yes
|8/29/2014
|-
|Top 20 countries with the highest hydropower potential per capita
|Hoes, O. A. C., Meijer, L. J. J., van der Ent, R. J., & van de Giesen, N. C. (2017). Top 20 countries with the highest hydropower potential per capita. (Version 1). ''PLOS ONE''. <nowiki>https://doi.org/10.1371/journal.pone.0171844.t001</nowiki>
|EnPotentialHydro
|No
|7/23/2024
|-
|Global potential for wind-generated electricity, PNAS
|X. Lu, M.B. McElroy, & J. Kiviluoma. (2009). Global potential for wind-generated electricity, ''Proc. Natl. Acad. Sci. U.S.A.'' 106 (27) 10933-10938, <nowiki>https://doi.org/10.1073/pnas.0904101106</nowiki>
|EnPotentialWind
EnPotentialWindOffshore

EnPotentialWindOnshore
|Yes
No
No
|7/23/2024
7/23/2024

7/23/2024
|-
|Ethnolinguistic Fractionalization (ELF) Indices
|Philip G. Roeder. 2001. "Ethnolinguistic Fractionalization (ELF) Indices, 1961 and 1985." 2001. http//:weber.ucsd.edu\~proeder\elf.htm.
|EthnoLinguisticFract
|No
|
|-
|A revised list of independent states since the congress of Vienna
|Gleditsch, K. S., & Ward, M. D. (1999). A revised list of independent states since the congress of Vienna. ''International Interactions'', ''25''(4), 393–413. <nowiki>https://doi.org/10.1080/03050629908434958</nowiki>
|GovNationalSystemMemberGleditschWard
|No
|11/8/2012
|-
|Income inequality projections for the Shared Socioeconomic Pathways (SSPs).
| Rao, N. D., Sauer, P., Gidden, M., & Riahi, K. (2019). Income inequality projections for the Shared Socioeconomic Pathways (SSPs). Futures : The Journal of Policy, Planning and Futures Studies, 105, 27–39. <nowiki>https://doi.org/10.1016/j.futures.2018.07.001</nowiki>
|ForecastGiniRaoSSP1
ForecastGiniRaoSSP1ConflictAdj

ForecastGiniRaoSSP1ConflictAdjHi

ForecastGiniRaoSSP1ConflictAdjLo

ForecastGiniRaoSSP2

ForecastGiniRaoSSP2ConflictAdj

ForecastGiniRaoSSP2ConflictAdjHi

ForecastGiniRaoSSP2ConflictAdjLo

ForecastGiniRaoSSP3

ForecastGiniRaoSSP3ConflictAdj

ForecastGiniRaoSSP3ConflictAdjHi

ForecastGiniRaoSSP3ConflictAdjLo

ForecastGiniRaoSSP4

ForecastGiniRaoSSP4ConflictAdj

ForecastGiniRaoSSP4ConflictAdjHi

ForecastGiniRaoSSP4ConflictAdjLo

ForecastGiniRaoSSP5

ForecastGiniRaoSSP5ConflictAdj

ForecastGiniRaoSSP5ConflictAdjHi

ForecastGiniRaoSSP5ConflictAdjLo
|No
|11/15/2022
7/6/2022

7/6/2022

7/6/2022

11/15/2022

7/6/2022

7/6/2022

7/6/2022

11/15/2022

7/6/2022

7/6/2022

7/6/2022

11/15/2022

7/6/2022

7/6/2022

7/6/2022

11/15/2022

7/6/2022

7/6/2022

7/6/2022
|-
|Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty.
|Crespo Cuaresma, J., Fengler, W., Kharas, H. et al. Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty. ''Palgrave Commun'' 4, 29 (2018). <nowiki>https://doi.org/10.1057/s41599-018-0083-y</nowiki>
|ForecastPovRate1D90WPCSSP1
ForecastPovRate1D90WPCSSP2

ForecastPovRate1D90WPCSSP3

ForecastPovRate1D90WPCSSP4

ForecastPovRate1D90WPCSSP5
|No
|10/14/2021
10/15/2021

10/15/2021

10/15/2021

10/15/2021
|-
|World Population & Human Capital in the Twenty-First Century: An Overview
|Lutz, Wolfgang, William P Butz, and Samir KC (eds), ''World Population & Human Capital in the Twenty-First Century: An Overview'' (Oxford, 2017; online edn, Oxford Academic, 12 Nov. 2020), <nowiki>https://doi.org/10.1093/oso/9780198813422.001.0001</nowiki>.
|EmigrationFemaleTotal
EmigrationMaleTotal

ImmigrationFemaleTotal

ImmigrationMaleTotal
|No
|12/11/2017
12/11/2017

12/11/2017

12/11/2017
|-
|Forecasting civil conflict along the shared socioeconomic pathways.

|Hegre, H., Buhaug, H., Calvin, K. V., Nordkvelle, J., Waldhoff, S. T., & Gilmore, E. (2016). Forecasting civil conflict along the shared socioeconomic pathways. ''Environmental Research Letters'', 11(5), 54002–54009. <nowiki>https://doi.org/10.1088/1748-9326/11/5/054002</nowiki>
|ConflictProbHegreSSP1
ConflictProbHegreSSP2

ConflictProbHegreSSP3

ConflictProbHegreSSP4

ConflictProbHegreSSP5
|No
|7/30/2021
7/30/2021

7/30/2021

7/30/2021

7/30/2021
|-
|Economic impacts of tipping points in the climate system.
|Dietz, S., Rising, J., Stoerk, T., & Wagner, G. (2021). Economic impacts of tipping points in the climate system. ''Proceedings of the National Academy of Sciences - PNAS'', 118(34), 1–9. <nowiki>https://doi.org/10.1073/pnas.2103081119</nowiki>
|ForecastGDP2011PCPPPOECDSSP1RCP26TP
ForecastGDP2011PCPPPOECDSSP2RCP45TP

ForecastGDP2011PCPPPOECDSSP3RCP60TP

ForecastGDP2011PCPPPOECDSSP4RCP60TP

ForecastGDP2011PCPPPOECDSSP5RCP85TP
|No
|12/4/2023
12/4/2023

12/4/2023

12/4/2023

12/4/2023
|-
|A consistent dataset for net income deciles for 190 countries, aggregated to 32 geographical regions and the world from 1958-2015
|Narayan, K. B., O’Neill, B. C., Waldhoff, S., & Tebaldi, C. (2024). A consistent dataset for the net income distribution for 190 countries and aggregated to 32 geographical regions from 1958 to 2015. ''Earth System Science Data'', ''16''(5), 2333–2349. <nowiki>https://doi.org/10.5194/essd-16-2333-2024</nowiki>
|GiniImputedESSD
|No
|5/20/2024
|-
|Solar Photovoltaic Power Potential by Country, World Bank
|Solar Photovoltaic Power Potential by Country, (2020). World Bank
|EnPotentialSolarLandConstraints
EnPotentialSolarTheoretical
|Yes
No
|7/23/2024
7/23/2024
|-
|Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database
|Solt, Frederick. 2020. “Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database.” ''Social Science Quarterly'' 101(3):1183-1199. SWIID Version 9.9, December 2024.
|GiniDispLowerSWIID
GiniMktLowerSWIID
|No
|12/13/2022
12/14/2022
|-
|Ethnolinguistic Fractionalization (ELF) Indices
|Philip G. Roeder. 2001. "Ethnolinguistic Fractionalization (ELF) Indices, 1961 and 1985." 2001. http//:weber.ucsd.edu\~proeder\elf.htm.
|EthnoLinguisticFract
|No
|10/16/02
|-
|Public Debt around the World: A New Dataset of Central Government Debt
|Jaimovich, D., & Panizza, U. (2011). ''Public Debt around the World: A New Dataset of Central Government Debt''. <nowiki>https://doi.org/10.18235/0010859</nowiki>
|GovDebt%GDPJaimPan
|No
|6/18/2009
|-
|Quantitative maps of groundwater resources in Africa
|MacDonald, A. M., Bonsor, H. C., Dochartaigh, B. É. Ó., & Taylor, R. G. (2012). Quantitative maps of groundwater resources in Africa. ''Environmental Research Letters'', ''7''(2), 24009–7. <nowiki>https://doi.org/10.1088/1748-9326/7/2/024009</nowiki>
|WaterResGroundAfrica
|Yes
|8/29/2014
|-
|Evaluation of the costs and benefits of interventions to reduce indoor air pollution
|Hutton, G., Rehfuess, E., & Tediosi, F. (2007). Evaluation of the costs and benefits of interventions to reduce indoor air pollution. ''Energy for Sustainable Development'', ''11''(4), 34–43. <nowiki>https://doi.org/10.1016/S0973-0826(08)60408-1</nowiki>
|EnvTradStove%HHRural
EnvTradStove%HHUrban
|No
|11/17/2013
11/17/2013
|-
|Evolution of modeling of the economics of global warming: changes in the DICE model, 1992–2017
|Nordhaus, W. (2018). Evolution of modeling of the economics of global warming: changes in the DICE model, 1992–2017. ''Climatic Change'', ''148''(4), 623–640. <nowiki>https://doi.org/10.1007/s10584-018-2218-y</nowiki>
|ForecastGDP2011PCPPPOECDSSP1RCP26
ForecastGDP2011PCPPPOECDSSP2RCP45

ForecastGDP2011PCPPPOECDSSP3RCP60

ForecastGDP2011PCPPPOECDSSP4RCP60

ForecastGDP2011PCPPPOECDSSP5RCP85
|No
|12/4/2023
12/4/2023

12/4/2023

12/4/2023

12/4/2023
|-
|Global patterns of current and future road infrastructure
|Meijer, J. R., Huijbregts, M. A. J., Schotten, K. C. G. J., & Schipper, A. M. (2018). Global patterns of current and future road infrastructure. ''Environmental Research Letters'', 13(6), 64006-. <nowiki>https://doi.org/10.1088/1748-9326/aabd42</nowiki>
|LocalRoadGRIP
MainRoadGRIP

SecRoadGRIP

TerRoadGRIP

TotRoadGRIP
|No
|8/10/2021
8/10/2021

8/10/2021

8/10/2021

8/10/2021
|-
|The Costs of Meeting the 2030 SDG Targets on Drinking Water, Sanitation, and Hygiene,
|Hutton and Varughese, (2016). The Costs of Meeting the 2030 SDG Targets on Drinking Water, Sanitation, and Hygiene, World Bank Report
|WSSJMPHandWashCostRuralHandwashingStationSoapWater
WSSJMPSanitationCostRuralDryPitLatrine

WSSJMPSanitationCostRuralPitLatrineWithFSM

WSSJMPSanitationCostRuralPitLatrineWST

WSSJMPSanitationCostRuralUnimprovedPitLatrine

WSSJMPSanitationCostRuralWetPitLatrine

WSSJMPSanitationCostUrbanLatrineWithSepticTank

WSSJMPSanitationCostUrbanSepticTankWithFSM

WSSJMPSanitationCostUrbanSewerageWithTreatment

WSSJMPSanitationCostUrbanWetPitLatrine

WSSJMPWaterCostRuralDugwell

WSSJMPWaterCostRuralPipedOnPlot

WSSJMPWaterCostRuralTubewellBorehole

WSSJMPWaterCostUrbanDugwell

WSSJMPWaterCostUrbanPipedOnPlot

WSSJMPWaterCostUrbanTubewellBorehole

WSSJMPHandWashCostUrbanHandwashingStationSoapWater
|No
|5/4/2022
5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022
|-
|Closing yield gaps through nutrient and water management
|Mueller, N. D., Gerber, J. S., Johnston, M., Ray, D. K., Ramankutty, N., & Foley, J. A. (2012). Closing yield gaps through nutrient and water management. ''Nature (London)'', ''490''(7419), 254–257. <nowiki>https://doi.org/10.1038/nature11420</nowiki>
|YieldIntWtMueller
|Yes
|12/10/2020
|-
|Global nuclear weapons inventories, 1945-2010
|Norris, R. S., & Kristensen, H. M. (2010). Global nuclear weapons inventories, 1945-2010. ''Bulletin of the Atomic Scientists'', ''66''(4), 77–83. <nowiki>https://doi.org/10.2968/066004008</nowiki>
|RelativePowerNukes
RelativePowerNukesLN
|No
|3/8/2015
|-
|IMF/Global Financial Integrity
|IMF/Global Financial Integrity, (2017). Illicit Financial Flows to and from Developing Countries: 2005-2014
|IFFInNEO$
IFFInTMHi$

IFFInTMLo$

IFFInTotalHi$

IFFInTotalHi%

IFFInTotalLo$

IFFInTotalLow%

IFFOUTNEO$

IFFOutTMHi$

IFFOutTMLow$

IFFOutTotalHi$

IFFOutTotalHi%

IFFOutTotalLo$

IFFOutTotalLow%
|No
|7/20/2017
7/20/2017

7/20/2017

7/20/2017

7/17/2017

7/20/2017

7/17/2017

7/20/2017

7/20/2017

7/20/2017

7/20/2017

7/17/2017

7/20/2017

7/17/2017
|-
|The Challenge of Public Pension Reform in Advanced and Emerging Economies
|The Challenge of Public Pension Reform in Advanced and Emerging Economies, IMF (2011). <nowiki>https://www.imf.org/external/np/pp/eng/2011/122811.pdf</nowiki>
|PensionableAgeMenIMF&OECD
PensionableAgeWomenIMF&OECD

PublicPensionExpenditure%GDPIMF
|No
|1/7/2016
1/7/2016

1/7/2016
|}

Research Papers/Projects

2025-08-22T03:11:30Z

Yun.Xie:

Listed are research papers and projects (cited in APA) that have been used in IFs tables. Most of these resources are one time data sources because they usually do not get updated by the authors. Therefore, they might be replaced in the future, but they are important references to have in the databases.
{| class="wikitable"
|+
!Research Paper/Project
!Research Citation and Link
!Table in IFs
!UsedInPreprocessor
!Last IFs Update
|-
|[[Historical GDP/GDPPC/Population|New Estimates of Over 500 Years of Historic GDP and Population Data]]
|Fariss, C. J., Anders, T., Markowitz, J. N., & Barnum, M. (2022). New Estimates of Over 500 Years of Historic GDP and Population Data. ''Journal of Conflict Resolution'', ''66''(3), 553-591. <nowiki>https://doi-org.du.idm.oclc.org/10.1177/00220027211054432</nowiki> (Original work published 2022)
|HistoricalGDP
HistoricalGDPPC

HistoricalPOP
|No
|7/23/2025
|-
|Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty.
|Crespo Cuaresma, J., Fengler, W., Kharas, H. et al. Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty. ''Palgrave Commun'' 4, 29 (2018). <nowiki>https://doi.org/10.1057/s41599-018-0083-y</nowiki>
|ForecastPovRate1D90WPCSSP1
ForecastPovRate1D90WPCSSP2

ForecastPovRate1D90WPCSSP3

ForecastPovRate1D90WPCSSP4

ForecastPovRate1D90WPCSSP5
|No
|10/14/2021
10/15/2021

10/15/2021

10/15/2021

10/15/2021
|-
|Determinants of Nuclear Weapons Proliferation
|Jo, D.-J., & Gartzke, E. (2007). Determinants of Nuclear Weapons Proliferation. ''The Journal of Conflict Resolution'', 51(1), 167–194. <nowiki>https://doi.org/10.1177/0022002706296158</nowiki>
|SecNuclearProdCap
|No
|5/3/2010
|-
|Economic impacts of tipping points in the climate system
|S. Dietz, J. Rising, T. Stoerk, & G. Wagner. (2021). Economic impacts of tipping points in the climate system, ''Proc. Natl. Acad. Sci. U.S.A.'' 118 (34) e2103081118, <nowiki>https://doi.org/10.1073/pnas.2103081118</nowiki>.
|ForecastGDP2011PCPPPOECDSSP1RCP26TP
ForecastGDP2011PCPPPOECDSSP2RCP45TP

ForecastGDP2011PCPPPOECDSSP3RCP60TP

ForecastGDP2011PCPPPOECDSSP4RCP60TP

ForecastGDP2011PCPPPOECDSSP5RCP85TP
|No
|12/4/2023
12/4/2023

12/4/2023

12/4/2023

12/4/2023
|-
|From hot rock to useful energy: A global estimate of enhanced geothermal systems potential.
| Aghahosseini, A., & Breyer, C. (2020). From hot rock to useful energy: A global estimate of enhanced geothermal systems potential. Applied Energy, 279, Article 115769. <nowiki>https://doi.org/10.1016/j.apenergy.2020.115769</nowiki>
|EnPotentialGeothermal

EnPotentialGeothermalSustainable
|No
Yes
|8/2/2024
8/2/2024
|-
|Fractionalization
|Alesina, A., Devleeschauwer, A., Easterly, W., Kurlat, S., & Wacziarg, R. (2003). Fractionalization. ''Journal of Economic Growth'' (Boston, Mass.), 8(2), 155–194. <nowiki>https://doi.org/10.1023/A:1024471506938</nowiki>
|EthnicFracEthinicity
EthnicFracLanguage

EthnicFracReligion
|No
|9/8/2010
9/8/2010

9/8/2010
|-
|Long-term economic growth projections in the Shared Socioeconomic Pathways.
|Dellink, R., Chateau, J., Lanzi, E., & Magné, B. (2017). Long-term economic growth projections in the Shared Socioeconomic Pathways. Global Environmental Change, 42, 200–214. <nowiki>https://doi.org/10.1016/j.gloenvcha.2015.06.004</nowiki>
|ForecastTFPDellinkSSP1
ForecastTFPDellinkSSP12015

ForecastTFPDellinkSSP2

ForecastTFPDellinkSSP22015

ForecastTFPDellinkSSP3

ForecastTFPDellinkSSP32015

ForecastTFPDellinkSSP4

ForecastTFPDellinkSSP42015

ForecastTFPDellinkSSP5

ForecastTFPDellinkSSP52015

TFPDellinkHist

TFPDellinkHistPctChng

ForecastTFPDellinkSSP1PcntChng

ForecastTFPDellinkSSP2PcntChng

ForecastTFPDellinkSSP3PcntChng

ForecastTFPDellinkSSP4PcntChng

ForecastTFPDellinkSSP5PcntChng
|No
|6/26/2019
6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019
|-
|Shadow Economies and Corruption All Over the World: Revised Estimates for 120 Countries
|Andreas Buehn, & Friedrich Schneider. (2007). Shadow Economies and Corruption All Over the World: Revised Estimates for 120 Countries Shadow Economies and Corruption All Over the World: Revised Estimates for 120 Countries. ''Economics. The Open-Access, Open-Assessment e-Journal''.
|EconShadow%GDP
|No
|4/9/2010
|-
|Quantitative maps of groundwater resources in Africa
|MacDonald, A. M., Bonsor, H. C., Dochartaigh, B. É. Ó., & Taylor, R. G. (2012). Quantitative maps of groundwater resources in Africa. ''Environmental Research Letters'', 7(2), 24009–7. <nowiki>https://doi.org/10.1088/1748-9326/7/2/024009</nowiki>
|WaterResGroundAfrica
|Yes
|8/29/2014
|-
|Top 20 countries with the highest hydropower potential per capita
|Hoes, O. A. C., Meijer, L. J. J., van der Ent, R. J., & van de Giesen, N. C. (2017). Top 20 countries with the highest hydropower potential per capita. (Version 1). ''PLOS ONE''. <nowiki>https://doi.org/10.1371/journal.pone.0171844.t001</nowiki>
|EnPotentialHydro
|No
|7/23/2024
|-
|Global potential for wind-generated electricity, PNAS
|X. Lu, M.B. McElroy, & J. Kiviluoma. (2009). Global potential for wind-generated electricity, ''Proc. Natl. Acad. Sci. U.S.A.'' 106 (27) 10933-10938, <nowiki>https://doi.org/10.1073/pnas.0904101106</nowiki>
|EnPotentialWind
EnPotentialWindOffshore

EnPotentialWindOnshore
|Yes
No
No
|7/23/2024
7/23/2024

7/23/2024
|-
|Ethnolinguistic Fractionalization (ELF) Indices
|Philip G. Roeder. 2001. "Ethnolinguistic Fractionalization (ELF) Indices, 1961 and 1985." 2001. http//:weber.ucsd.edu\~proeder\elf.htm.
|EthnoLinguisticFract
|No
|
|-
|A revised list of independent states since the congress of Vienna
|Gleditsch, K. S., & Ward, M. D. (1999). A revised list of independent states since the congress of Vienna. ''International Interactions'', ''25''(4), 393–413. <nowiki>https://doi.org/10.1080/03050629908434958</nowiki>
|GovNationalSystemMemberGleditschWard
|No
|11/8/2012
|-
|Income inequality projections for the Shared Socioeconomic Pathways (SSPs).
| Rao, N. D., Sauer, P., Gidden, M., & Riahi, K. (2019). Income inequality projections for the Shared Socioeconomic Pathways (SSPs). Futures : The Journal of Policy, Planning and Futures Studies, 105, 27–39. <nowiki>https://doi.org/10.1016/j.futures.2018.07.001</nowiki>
|ForecastGiniRaoSSP1
ForecastGiniRaoSSP1ConflictAdj

ForecastGiniRaoSSP1ConflictAdjHi

ForecastGiniRaoSSP1ConflictAdjLo

ForecastGiniRaoSSP2

ForecastGiniRaoSSP2ConflictAdj

ForecastGiniRaoSSP2ConflictAdjHi

ForecastGiniRaoSSP2ConflictAdjLo

ForecastGiniRaoSSP3

ForecastGiniRaoSSP3ConflictAdj

ForecastGiniRaoSSP3ConflictAdjHi

ForecastGiniRaoSSP3ConflictAdjLo

ForecastGiniRaoSSP4

ForecastGiniRaoSSP4ConflictAdj

ForecastGiniRaoSSP4ConflictAdjHi

ForecastGiniRaoSSP4ConflictAdjLo

ForecastGiniRaoSSP5

ForecastGiniRaoSSP5ConflictAdj

ForecastGiniRaoSSP5ConflictAdjHi

ForecastGiniRaoSSP5ConflictAdjLo
|No
|11/15/2022
7/6/2022

7/6/2022

7/6/2022

11/15/2022

7/6/2022

7/6/2022

7/6/2022

11/15/2022

7/6/2022

7/6/2022

7/6/2022

11/15/2022

7/6/2022

7/6/2022

7/6/2022

11/15/2022

7/6/2022

7/6/2022

7/6/2022
|-
|Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty.
|Crespo Cuaresma, J., Fengler, W., Kharas, H. et al. Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty. ''Palgrave Commun'' 4, 29 (2018). <nowiki>https://doi.org/10.1057/s41599-018-0083-y</nowiki>
|ForecastPovRate1D90WPCSSP1
ForecastPovRate1D90WPCSSP2

ForecastPovRate1D90WPCSSP3

ForecastPovRate1D90WPCSSP4

ForecastPovRate1D90WPCSSP5
|No
|10/14/2021
10/15/2021

10/15/2021

10/15/2021

10/15/2021
|-
|World Population & Human Capital in the Twenty-First Century: An Overview
|Lutz, Wolfgang, William P Butz, and Samir KC (eds), ''World Population & Human Capital in the Twenty-First Century: An Overview'' (Oxford, 2017; online edn, Oxford Academic, 12 Nov. 2020), <nowiki>https://doi.org/10.1093/oso/9780198813422.001.0001</nowiki>.
|EmigrationFemaleTotal
EmigrationMaleTotal

ImmigrationFemaleTotal

ImmigrationMaleTotal
|No
|12/11/2017
12/11/2017

12/11/2017

12/11/2017
|-
|Forecasting civil conflict along the shared socioeconomic pathways.

|Hegre, H., Buhaug, H., Calvin, K. V., Nordkvelle, J., Waldhoff, S. T., & Gilmore, E. (2016). Forecasting civil conflict along the shared socioeconomic pathways. ''Environmental Research Letters'', 11(5), 54002–54009. <nowiki>https://doi.org/10.1088/1748-9326/11/5/054002</nowiki>
|ConflictProbHegreSSP1
ConflictProbHegreSSP2

ConflictProbHegreSSP3

ConflictProbHegreSSP4

ConflictProbHegreSSP5
|No
|7/30/2021
7/30/2021

7/30/2021

7/30/2021

7/30/2021
|-
|Economic impacts of tipping points in the climate system.
|Dietz, S., Rising, J., Stoerk, T., & Wagner, G. (2021). Economic impacts of tipping points in the climate system. ''Proceedings of the National Academy of Sciences - PNAS'', 118(34), 1–9. <nowiki>https://doi.org/10.1073/pnas.2103081119</nowiki>
|ForecastGDP2011PCPPPOECDSSP1RCP26TP
ForecastGDP2011PCPPPOECDSSP2RCP45TP

ForecastGDP2011PCPPPOECDSSP3RCP60TP

ForecastGDP2011PCPPPOECDSSP4RCP60TP

ForecastGDP2011PCPPPOECDSSP5RCP85TP
|No
|12/4/2023
12/4/2023

12/4/2023

12/4/2023

12/4/2023
|-
|A consistent dataset for net income deciles for 190 countries, aggregated to 32 geographical regions and the world from 1958-2015
|Narayan, K. B., O’Neill, B. C., Waldhoff, S., & Tebaldi, C. (2024). A consistent dataset for the net income distribution for 190 countries and aggregated to 32 geographical regions from 1958 to 2015. ''Earth System Science Data'', ''16''(5), 2333–2349. <nowiki>https://doi.org/10.5194/essd-16-2333-2024</nowiki>
|GiniImputedESSD
|No
|5/20/2024
|-
|Solar Photovoltaic Power Potential by Country, World Bank
|Solar Photovoltaic Power Potential by Country, (2020). World Bank
|EnPotentialSolarLandConstraints
EnPotentialSolarTheoretical
|Yes
No
|7/23/2024
7/23/2024
|-
|Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database
|Solt, Frederick. 2020. “Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database.” ''Social Science Quarterly'' 101(3):1183-1199. SWIID Version 9.9, December 2024.
|GiniDispLowerSWIID
GiniMktLowerSWIID
|No
|12/13/2022
12/14/2022
|-
|Ethnolinguistic Fractionalization (ELF) Indices
|Philip G. Roeder. 2001. "Ethnolinguistic Fractionalization (ELF) Indices, 1961 and 1985." 2001. http//:weber.ucsd.edu\~proeder\elf.htm.
|EthnoLinguisticFract
|No
|10/16/02
|-
|Public Debt around the World: A New Dataset of Central Government Debt
|Jaimovich, D., & Panizza, U. (2011). ''Public Debt around the World: A New Dataset of Central Government Debt''. <nowiki>https://doi.org/10.18235/0010859</nowiki>
|GovDebt%GDPJaimPan
|No
|6/18/2009
|-
|Quantitative maps of groundwater resources in Africa
|MacDonald, A. M., Bonsor, H. C., Dochartaigh, B. É. Ó., & Taylor, R. G. (2012). Quantitative maps of groundwater resources in Africa. ''Environmental Research Letters'', ''7''(2), 24009–7. <nowiki>https://doi.org/10.1088/1748-9326/7/2/024009</nowiki>
|WaterResGroundAfrica
|Yes
|8/29/2014
|-
|Evaluation of the costs and benefits of interventions to reduce indoor air pollution
|Hutton, G., Rehfuess, E., & Tediosi, F. (2007). Evaluation of the costs and benefits of interventions to reduce indoor air pollution. ''Energy for Sustainable Development'', ''11''(4), 34–43. <nowiki>https://doi.org/10.1016/S0973-0826(08)60408-1</nowiki>
|EnvTradStove%HHRural
EnvTradStove%HHUrban
|No
|11/17/2013
11/17/2013
|-
|Evolution of modeling of the economics of global warming: changes in the DICE model, 1992–2017
|Nordhaus, W. (2018). Evolution of modeling of the economics of global warming: changes in the DICE model, 1992–2017. ''Climatic Change'', ''148''(4), 623–640. <nowiki>https://doi.org/10.1007/s10584-018-2218-y</nowiki>
|ForecastGDP2011PCPPPOECDSSP1RCP26
ForecastGDP2011PCPPPOECDSSP2RCP45

ForecastGDP2011PCPPPOECDSSP3RCP60

ForecastGDP2011PCPPPOECDSSP4RCP60

ForecastGDP2011PCPPPOECDSSP5RCP85
|No
|12/4/2023
12/4/2023

12/4/2023

12/4/2023

12/4/2023
|-
|Global patterns of current and future road infrastructure
|Meijer, J. R., Huijbregts, M. A. J., Schotten, K. C. G. J., & Schipper, A. M. (2018). Global patterns of current and future road infrastructure. ''Environmental Research Letters'', 13(6), 64006-. <nowiki>https://doi.org/10.1088/1748-9326/aabd42</nowiki>
|LocalRoadGRIP
MainRoadGRIP

SecRoadGRIP

TerRoadGRIP

TotRoadGRIP
|No
|8/10/2021
8/10/2021

8/10/2021

8/10/2021

8/10/2021
|-
|The Costs of Meeting the 2030 SDG Targets on Drinking Water, Sanitation, and Hygiene,
|Hutton and Varughese, (2016). The Costs of Meeting the 2030 SDG Targets on Drinking Water, Sanitation, and Hygiene, World Bank Report
|WSSJMPHandWashCostRuralHandwashingStationSoapWater
WSSJMPSanitationCostRuralDryPitLatrine

WSSJMPSanitationCostRuralPitLatrineWithFSM

WSSJMPSanitationCostRuralPitLatrineWST

WSSJMPSanitationCostRuralUnimprovedPitLatrine

WSSJMPSanitationCostRuralWetPitLatrine

WSSJMPSanitationCostUrbanLatrineWithSepticTank

WSSJMPSanitationCostUrbanSepticTankWithFSM

WSSJMPSanitationCostUrbanSewerageWithTreatment

WSSJMPSanitationCostUrbanWetPitLatrine

WSSJMPWaterCostRuralDugwell

WSSJMPWaterCostRuralPipedOnPlot

WSSJMPWaterCostRuralTubewellBorehole

WSSJMPWaterCostUrbanDugwell

WSSJMPWaterCostUrbanPipedOnPlot

WSSJMPWaterCostUrbanTubewellBorehole

WSSJMPHandWashCostUrbanHandwashingStationSoapWater
|No
|5/4/2022
5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022
|-
|Closing yield gaps through nutrient and water management
|Mueller, N. D., Gerber, J. S., Johnston, M., Ray, D. K., Ramankutty, N., & Foley, J. A. (2012). Closing yield gaps through nutrient and water management. ''Nature (London)'', ''490''(7419), 254–257. <nowiki>https://doi.org/10.1038/nature11420</nowiki>
|YieldIntWtMueller
|Yes
|12/10/2020
|-
|Global nuclear weapons inventories, 1945-2010
|Norris, R. S., & Kristensen, H. M. (2010). Global nuclear weapons inventories, 1945-2010. ''Bulletin of the Atomic Scientists'', ''66''(4), 77–83. <nowiki>https://doi.org/10.2968/066004008</nowiki>
|RelativePowerNukes
RelativePowerNukesLN
|No
|3/8/2015
|-
|IMF/Global Financial Integrity
|IMF/Global Financial Integrity, (2017). Illicit Financial Flows to and from Developing Countries: 2005-2014
|IFFInNEO$
IFFInTMHi$

IFFInTMLo$

IFFInTotalHi$

IFFInTotalHi%

IFFInTotalLo$

IFFInTotalLow%

IFFOUTNEO$

IFFOutTMHi$

IFFOutTMLow$

IFFOutTotalHi$

IFFOutTotalHi%

IFFOutTotalLo$

IFFOutTotalLow%
|No
|7/20/2017
7/20/2017

7/20/2017

7/20/2017

7/17/2017

7/20/2017

7/17/2017

7/20/2017

7/20/2017

7/20/2017

7/20/2017

7/17/2017

7/20/2017

7/17/2017
|-
|The Challenge of Public Pension Reform in Advanced and Emerging Economies
|The Challenge of Public Pension Reform in Advanced and Emerging Economies, IMF (2011). <nowiki>https://www.imf.org/external/np/pp/eng/2011/122811.pdf</nowiki>
|PensionableAgeMenIMF&OECD
PensionableAgeWomenIMF&OECD

PublicPensionExpenditure%GDPIMF
|No
|1/7/2016
1/7/2016

1/7/2016
|}

Historical GDP/GDPPC/Population

2025-08-22T03:08:57Z

Yun.Xie:

= '''Summary''' =
The historical GDP, population, and GDPPC data is pulled from the article '''"New Estimates of Over 500 Years of Historic GDP and Population Data"''' by Fariss et al. (2022). The article proposed a dynamic latent variable model to address three major issues in historical GDP, population, and GDP per capita data. Namely 1) missing data, 2) measurement uncertainty, 3) systematic bias across sources.

The authors built a dynamic latent variable model that combined multiple historical and contemporary datasets. The work was supported by the Security and Political Economy (SPEC) Lab at the University of Southern California.

For population and GDP per capita, the latent trait model parameters were constructed based on following formula:
[[File:Farris et al., 2022.png|thumb|450x450px|(Farris et al., 2022)]]

= Tables in IFs =
{| class="wikitable"
|Variable
|Table
|Definition
|Last IFs Update
|UsedInPreprocessor
|-
|HistoricalGDP
|SeriesHistoricalGDP
|Mean of historical GDP values extended with a Latent Variable Modeling Framework.
|2025/08/21
|0
|-
|HistoricalGDPPC
|SeriesHistoricalGDPPC
|Mean of historical GDP per capita values extended with a Latent Variable Modeling Framework.
|2025/08/21
|0
|-
|HistoricalPOP
|SeriesHistoricalPOP
|Mean of historical population values extended with a Latent Variable Modeling Framework.
|2025/08/21
|0
|}

= Data Pulling Instructions =

====== Step 1: ======
To pull data from this paper, go to:

<nowiki>https://journals.sagepub.com/doi/full/10.1177/00220027211054432</nowiki>

In the Acknowledgements section, there is a link to the predicted data:

<nowiki>https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FALCGS</nowiki>
[[File:Data source.png|thumb]]

====== Step 2: ======
Download the most updated datafiles (in this example, in 2024).

= Data Notes =
1. The paper was published in 2022. In 2024, the author shared an updated version of the datafile.

2. The data files are in .rds format, if using R, open the file and it will automatically import; if using python, use the ''read_r'' function in the ''pyreadr'' package.

3. The datafile included predicted values as well as datasets used in the modeling, slice “latent_gdp”, “latent_gdppc”, “latent_pop” from the indicator column of corresponding datafiles for the predicted values.

4. GWNO codes and corresponding country names were provided in the supplementary files of the original paper. However, the supplementary only provided corresponding codes for 217 countries/regions and the dataset had 225 countries/regions (missing: 89,99,327, 396,397, 563,564,711). For the additional gwno codes, use this link for corresponding country names: <nowiki>http://ksgleditsch.com/data-4.html</nowiki>.

5. For Yeman, there are ''Yemen (Arab Republic of Yemen)'' and ''Yemen, People’s Republic of;'' and for Viet Nam, there are ''Vietnam (Annam/Cochin China/Tonkin)'' and ''Vietnam, Democratic Republic of'' in the original dataset:

5.1 for the years that only one of them had value, we took the value from whichever that is available for population, GDP, and GDPPC

5.2 for the years that both of them had value, we summed the values for population and GDP; and the values for GDPPC are then calculated from population and GDP

GDP & GDPPCPPP from IMF World Economic Outlook & WDI

2025-08-02T23:37:46Z

Yun.Xie: data updated for a IMF data update in July

== Related wiki Pages ==

# [https://pardeewiki.du.edu//index.php?title=Core_Series GDP and GDPPC]
# [https://pardeewiki.du.edu/index.php?title=Economy_Data GDP2011]
# [https://pardeewiki.du.edu/index.php?title=Economy_Data GDP2011PCPPP]

== DataDict ==
{| class="wikitable"
|Variable
|Table
|Group
|SubGroup
|Series
|CoVaTrA
|Cohort
|Definition
|Extended Source Defn
|Units
|CURRENCY
|Years
|Source
|-
|GDP2011
|SeriesGDP2011
|Economy
|Aggregate
|Yes
|No
|No
|GDP (MER) at constant 2011 US$, IMF 2024 Apr Release, last year of data is 2026
|IMF 2024 Apr Release, projection to 2026; WDI 2024 Mar version, values up to 2022
|Bil 2011$
|
|1960-2026
|WDI, IMF
|-
|GDP2011PCPPP
|SeriesGDP2011PCPPP
|Economic, Favorites
|GDP per Capita
|Yes
|No
|No
|GDP per capita (constant 2011 PPP International $)
|WDI 2024 Mar version, values up to 2022
|2011 PPP$
|
|1960-2022
|WDI
|-
|GDP2017
|SeriesGDP2017
|Economy
|Aggregate
|Yes
|No
|No
|GDP (MER) at constant 2017 US$, IMF 2024 Apr Release, last year of data is 2026
|IMF 2024 Apr Release, projection to 2026; WDI 2024 Mar version, values up to 2022
|Bil 2017$
|
|1960-2026
|WDI, IMF
|-
|GDP2017PCPPP
|SeriesGDP2017PCPPP
|Economic, Favorites
|GDP per Capita
|Yes
|No
|No
|GDP per capita (constant 2017 PPP International $)
|WDI 2024 Mar version, values up to 2022
|2017 PPP$
|
|1960-2022
|WDI
|}
Note: The most recent update date was in August, 2025.

== Instructions on updating GDP & GDPPCPPP ==

=== GDP ===
1. Download data

* GDP (current US$): https://data.worldbank.org/indicator/NY.GDP.MKTP.CD
* GDP growth (annual %): https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG
* IMF: entire dataset https://www.imf.org/en/Publications/SPROLLS/world-economic-outlook-databases#sort=%40imfdate%20descending
** Click the most recent WEO database, eg, World Economic Outlook Database, October 2024.
** Select "Entire Dataset"
** Click "By Countires", it will automatically download the entire data. The download file will be in .xls format. Open the file with Excel and Save as .xlsx for future use.
*** We will only use WEO Subject Code in (NGDP_RPCH, NGDPD). NGDP_RPCH is the percent change of GDP, and NGDPD is GDP in current US$ in Billions).
* IFsHistSeries: SeriesGDP2011 and SeriesGDP2017, in current US$ in Billions. We will use '''2011''' as the example in this instruction.

2. Calculate Growth_Rate from SeriesGDP2011. (Growth_Rate in 2011 = (GDP in 2011 - GDP in 2010)/GDP in 2010; The growth_rate need to *100 as percent value.)

3. Change all the data we downloaded and calculated to the format of [Country, Year, VAL]

* GDP (current US$): Country, Year, wb_curr
* GDP growth (annual %): Country, Year, wb_growth
* IMF_ NGDP_RPCH: Country, Year, imf_growth
* IMF_ NGDPD: Country, Year, imf_curr ('''''Note1''''')
* SeriesGDP2011: Country, Year, ifs_gdp ('''''Note1''''')
* Growth_Rate: Country, Year, ifs_growth

'''''Note1: imf_curr and ifs_gdp need to be *''''' '''''1000000000 due to the Billions Unit.'''''

4. Create a new value, '''GDP_curr,''' primarily using wb_curr.

* If there is a null in wb_curr, then use imf_curr to fill the null.
* If there is a null in both wb_curr and imf_curr, then use ifs_gdp to fill the null.

5. Create a new value, '''Growth,''' primarily using wb_growth

* If there is a null in wb_growth, then use imf_growth to fill the null.
* If there is a null in both wb_growth and imf_growth, then use ifs_growth to fill the null.
* After filling nulls, use forward fill to fill the rest of nulls.

6. Create a new value, '''GDP_new,'''

* The base year is 2011 since we use GDP2011 from the IFsHist. It will change to 2017 when we use GDP2017.
* Fill the base year value in GDP_curr to GDP_new for each country.
* After this step, every country will only have 1 value in GDP_new for the base year, e.g. 2011.

7. Fill the rest of the years for '''GDP_new''' using '''Growth''' and '''GDP_curr''':

* For the years before the base year, 2011, we will calculate the value from 2010 to 1960. E.g. GDP_new in 2010 = GDP_new in 2011*100 / (Growth in 2011 + 100). The year will be rolling for the rest of the calculation.
* For the years from the base year to year_end('''''Note2'''''), 2011, we will calculate the value from 2012 to 2026. E.g. GDP_new in 2012 = GDP_new in 2011*(100 + Growth in 2012) / 100. The year will be rolling for the rest of the calculation.

'''''Note2: year_end is 2 years from now.'''''

'''8. GDP_new is the new value for GDP2011. Need to be /1000000000 and be rounded to 5 decimals.'''

=== GDPPCPPP ===
1. Download Data

* GDP per capita (current LCU): https://data.worldbank.org/indicator/NY.GDP.PCAP.CN
* GDP deflator (base year varies by country): https://data.worldbank.org/indicator/NY.GDP.DEFL.ZS
* PPP conversion factor, GDP (LCU per international $): https://data.worldbank.org/indicator/PA.NUS.PPP
* GDP per capita growth (annual %): https://data.worldbank.org/indicator/NY.GDP.PCAP.KD.ZG
* IFsHistSeries: SeriesGDP2011PCPPP and SeriesGDP2017PCPPP. We will use '''2011''' as the example in this instruction.

2. Calculate PCPPP_Growth_Rate from SeriesGDP2011PCPPP. (PCPPP_Growth_Rate in 2011 = (PCPPP in 2011 - PCPPP in 2010)/PCPPP in 2010; The growth_rate need to *100 as percent value.)

3. Change all the data we downloaded and calculated to the format of [Country, Year, VAL]

* GDP per capita (current LCU): Country, Year, wb_curr
* GDP deflator (base year varies by country): Country, Year, wb_deflat
* PPP conversion factor, GDP (LCU per international $): Country, Year, wb_ppp_cov
* GDP per capita growth (annual %): Country, Year, wb_growth
* SeriesGDP2011PCPPP: Country, Year, ifs_pcppp
* PCPPP_Growth_Rate: Country, Year, ifs_pcppp_growth

4. Create a new value, '''pc_growth,''' primarily using wb_growth.

* If there is a null in wb_growth, then use ifs_pcppp_growth to fill the null.

5. Create a new value, '''2011_deflat''' (if use SeriesGDP2017PCPPP, then the new value is 2017_deflat)

* The base year is 2011 since we use GDP2011PCPPP from the IFsHist. It will change to 2017 when we use GDP2017PCPPP.
* Fill the base year value in wb_deflat in 2011_deflat for each country.
* After this step, every country will only have 1 value in 2011_deflat for the base year, e.g. 2011.
* If there is null value for wb_deflat in the base year, then you can leave the 2011_deflat null.

6. Create a new value, '''2011_ppp_cov''' (if use SeriesGDP2017PCPPP, then the new value is 2017_ppp_cov)

* Fill the base year value in wb_ppp_cov in 2011_ppp_cov for each country.
* After this step, every country will only have 1 value in 2011_ppp_cov for the base year, e.g. 2011.

7. Create a '''new''' '''table''' using [Country, Year, wb_curr] and [Country, Year, wb_deflat]

* Find the most recent year for each country as well as the wb_curr and wb_deflat in that most recent year.

8. Merge the new table with 2011_deflat and 2011_ppp_cov only using Country.

* The output table would be
** Country
** Year (the most recent year for the country)
** wb_curr (the wb_curr in the most recent year for the country)
** wb_deflat (the wb_deflat in the most recent year for the country)
** 2011_deflat (the deflator in the base year, 2011)
** 2011_ppp_cov (the ppp_cov in the base year, 2011)
* Calculate a new value, '''2011_const_pcppp''' (if use SeriesGDP2017PCPPP, then the new value is 2017_const_pcppp) using the formula below.
** '''2011_const_pcppp = (wb_curr * (2011_deflat/wb_deflat))/2011_ppp_cov'''

9. There will be countries having 0 or null values for '''2011_const_pcppp'''. We will use the value in ifs_pcppp in the most recent year for these missing countries to fill 2011_const_pcppp. (In this case, the most recent year will change to the most recent year for ifs_pcppp.) Thus, all 188 countries should have a 2011_const_pcppp for its most recent year.

10. Now we have 2011_const_pcppp in the most recent year for each country. We will calculate the 2011_const_pcppp for the rest of the year.

* year_end = 2022 (The most recent year in GDP per capita (current LCU) from WDI).
* Starting from the most recent year to the earliest year. E.g. The most recent year in Afghanistan is 2021, 2021 – 1960, for 2020
** 2011_const_pcppp in 2020 = 100* 2011_const_pcppp in 2021 / (100 + pc_growth in 2021)
* Starting from the most recent year to the year_end. E.g. The most recent year in Afghanistan is 2021, 2021 – 2022, for 2022
** 2011_const_pcppp in 2022 = 2011_const_pcppp in 2021 * (100 + pc_growth in 2022)/100

'''11. The 2011_const_pcppp is the new value for GDP2011PCPPP. Need to be rounded to 5 decimals.'''

= Data Notes =

# The IMF updated their NGDP_RPCH projection for part of the countries in July of 2025 (https://www.imf.org/en/Publications/WEO/Issues/2025/07/29/world-economic-outlook-update-july-2025).
# This data update only has 1 decimal point, hence the NGDP_RPCH data was also rounded to 1 decimal point to keep consistent.

Obesity, adult (18+) and child and adolescent (5-19)

2025-07-30T04:20:46Z

Yun.Xie: Created a new wiki page for obesity data

= Summary =
The obesity data for adult as well as child and adolescent is pulled from the '''Global Health Observatory (GHO), WHO''' database. The GHO data repository holds health-related statistics for WHO’s 194 Member States. In IFs, we have estimated obesity prevalence data from GHO for different age groups including 5-9, 10-19, 5-19, and 18+ for male, female, as well as both sexes combined. This data was originally from ''NCD-RisC. NCD-RisC. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents and adults''.

= Tables In IFs =
{| class="wikitable"
|'''Table'''
|'''Group'''
|'''Definition'''
|'''Source'''
|'''Original Source'''
|'''Last IFs Update'''
|-
|'''SeriesHealthObesityFemaleCrude18+Est%'''
|Health
|Percentage of female adults aged 18+ years with a body mass index (BMI) of 30 kg/m2 or higher (crude estimates)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityMaleCrude18+Est%'''
|Health
|Percentage of male adults aged 18+ years with a body mass index (BMI) of 30 kg/m2 or higher (crude estimates)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityBothCrude18+Est%'''
|Health
|Percentage of adults aged 18+ years with a body mass index (BMI) of 30 kg/m2 or higher (crude estimates)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityFemaleAgeStan18+Est%'''
|Health
|Percentage of female adults aged 18+ years with a body mass index (BMI) of 30 kg/m2 or higher (age standardized estimates)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityMaleAgeStan18+Est%'''
|Health
|Percentage of male adults aged 18+ years with a body mass index (BMI) of 30 kg/m2 or higher (age standardized estimates)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityBothAgeStan18+Est%'''
|Health
|Percentage of adults of both sexes aged 18+ years with a body mass index (BMI) of 30 kg/m2 or higher (age standardized estimates)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityFemaleCrude5-19+Est%'''
|Health
|Prevalence of obesity among female children and adolescents aged 5-19, BMI > +2 standard deviations above the median (crude estimate)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityMaleCrude5-19+Est%'''
|Health
|Prevalence of obesity among male children and adolescents aged 5-19, BMI > +2 standard deviations above the median (crude estimate)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityBothCrude5-19+Est%'''
|Health
|Prevalence of obesity among both sexes children and adolescents aged 5-19, BMI > +2 standard deviations above the median (crude estimate)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityFemaleCrude5-9+Est%'''
|Health
|Prevalence of obesity among female children and adolescents aged 5-9, BMI > +2 standard deviations above the median (crude estimate)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityMaleCrude5-9+Est%'''
|Health
|Prevalence of obesity among male children and adolescents aged 5-9, BMI > +2 standard deviations above the median (crude estimate)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityBothCrude5-9+Est%'''
|Health
|Prevalence of obesity among both sexes children and adolescents aged 5-9, BMI > +2 standard deviations above the median (crude estimate)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityFemaleCrude10-19+Est%'''
|Health
|Prevalence of obesity among female children and adolescents aged 10-19, BMI > +2 standard deviations above the median (crude estimate)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityMaleCrude10-19+Est%'''
|Health
|Prevalence of obesity among male children and adolescents aged 10-19, BMI > +2 standard deviations above the median (crude estimate)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|-
|'''SeriesHealthObesityBothCrude10-19+Est%'''
|Health
|Prevalence of obesity among both sexes children and adolescents aged 10-19, BMI > +2 standard deviations above the median (crude estimate)
|Global Health Observatory (GHO), WHO
|<nowiki>https://pubmed.ncbi.nlm.nih.gov/38432237/</nowiki>
|7/29/2025
|}

= Data Pulling Instructions =

==== Step 1: ====
Data can be found here: <nowiki>https://www.who.int/data/gho/data/indicators/indicators-index</nowiki>

You can find the data needed with the keyword “obesity”. As of 7/29/2025, there are three relevant datasets (adult crude estimate, adult age-standardized estimate, and children and adolescents crude estimate).

==== Step 2: ====
After accessing the link, direct to the data tab and right click on EXPORT DATA in CSV format:

==== Step 3: ====
You can then go into the csv files to slice the data needed as well as convert them from long to wide format.

= Data Notes =
1. When downloading, be careful of Turkey and Cote D'Ivoire, as they might be wrongly encoded and appear to be TÃ¼rkiye and CÃ´te d'Ivoire in the sheet

2. Use data from “occupied Palestinian territory, including east Jerusalem” for Palestine for the tables.

Obesity, adult (18+) and child and adolescent (5-19)

2025-07-30T03:59:30Z

Yun.Xie: Created page with "Summary"

Summary

Data Sources

2025-07-29T21:00:03Z

Yun.Xie: added a new datasourcce

===== Bulletin of the Atomic Scientists =====

* [[Bulletin of the Atomic Scientists Data]]

===== Barro-Lee =====
* [[Educational Attainment Dataset, Barro-Lee|Education Attainment Dataset]]

===== Bertelsmann Stiftung =====
* [[The Transformation Index (BTI)]]

===== Carbon Dioxide Information and Analysis Center (CDIAC) =====

* [[Carbon Dioxide Information and Analysis Center (CDIAC)|Carbon Emissions Data]]

===== Center for Systemic Peace =====

* [[Polity5]]
* [[Major Episodes of Political Violence (MEPV)]]
* [[State Fragility Index, Center for Systemic Peace|State Fragility Index]]
* [[Political Instability Task Force (PITF), Center for Systematic Peace|Political Instability Task Force (PITF)]]

===== Climate Watch =====
* [[Emissions Data, Climate Watch|Emissions Data]]

===== Correlates of War =====
* [[The Correlates of War Project, Correlates of War|The Correlates of War Project]]

===== Demographic and Health Surveys (DHS) =====

* [[STATcompiler, Demographic and Health Surveys (DHS)|STATcompiler]]

===== Economist Intelligence Unit (EIU) =====

* [[Economist Intelligence Unit (EIU)|Economist Intelligence Unit (EIU) Data]]
* [[The Political Instability Index, Economist Intelligence Unit (EIU)]]

===== Electronic Data Gathering, Analysis, and Retrieval (EDGAR) =====

* [[Electronic Data Gathering, Analysis, and Retrieval (EDGAR) Data]]

===== Instituut voor Milieuvraagstukken (IVM) =====

* [[Globally potentially available cropland data, Environmental Geography Instituut voor Milieuvraagstukken (IVM)|Globally potentially available cropland data]]

===== EMBER =====
* [[Electricity Data, EMBER|Electricity Data]]

===== Energy Institute =====

* [[Statistical Review of World Energy, Energy Institute|Statistical Review of World Energy]]

===== Europa World Yearbook =====

* [[Europa World Yearbook Data]]

===== European Commission =====

* [[Eurostat European Commission|Eurostat, European Commission]]
*

===== Federation of American Scientists =====

* [[Federation of American Scientists Data]]

===== Federal Institute for Geosciences and Natural Resources (BGR) =====

* [[Energy Data, BGR|Energy Data]]

===== Food and Agriculture Organization (FAO) =====

* [[AQUASTAT, FAO|AQUASTAT - FAO's Global Information System on Water and Agriculture]]
* [[FishstatJ, FAO|FishStatJ]]
* [[FAOSTAT Food Balance Sheet]]
* [[FAOSTAT Food Security and Nutrition]]
* [[FAOSTAT Land Use|FAOSTAT Land]]
* [[FAOSTAT SDG Indicators]]
* [[FAOSTAT Trade Crops and livestock products]]

===== Fraser Institute =====

* [https://pardeewiki.du.edu//index.php?title=Fraser_International Economic Data, Fraser Institute]

===== Freedom House =====

* [[Countries at the Crossroads, Freedom House|Countries at the Crossroads]]
* [[FreedomHouse|Freedom in the World]]
* [[Freedom on the Net, Freedom House]]

===== Fund for Peace =====
* [[Fragile States Index, Fund for Peace|Fragile States Index]]

===== Global Carbon Budget (GCB) =====

* [[Carbon Data, Global Carbon Budget (GCB)|Carbon Data]]

===== Global Health Observatory (GHO), WHO =====

* [[Obesity, adult (18+) and child and adolescent (5-19)]]

===== Global Trade Analysis Project (GTAP) =====

* [[Global Trade Analysis Project (GTAP)|Global Trade Analysis Project (GTAP) Data]]

===== Heritage Foundation =====

* [[Heritage Foundation Data]]

===== International Groundwater Resources Assessment Centre (IGRAC) =====

* [[Global Depletion of Groundwater Resources, International Groundwater Resources Assessment Centre (IGRAC)|Global Depletion of Groundwater Resources,]]

===== Institute for Employment Research (IAB) =====

* [[Brain Drain Data, Institute for Employment Research (IAB)]]

===== International Centre for Tax & Development (ICTD) =====

* [[International Centre for Tax & Development (ICTD)|International Centre for Tax & Development (ICTD) Data]]

===== International Diabetes Federation =====

* [[Diabetes Atlas, International Diabetes Federation]]

===== [[International Energy Agency (IEA)]] =====
* [[End-Use Prices Data Explorer, International Energy Agency (IEA)|End-Use Prices Data Explorer]]
* [[World Energy Balances, International Energy Agency (IEA)|World Energy Balances]]
* [[World Energy Outlook, International Energy Agency (IEA)|World Energy Outlook]]
* [[World Energy Statistics, International Energy Agency (IEA)|World Energy Statistics]]

===== International Food Policy Research Institute =====

* [[International Food Policy Research Institute Data]]

===== Institute for Health Metrics and Evaluation (IHME) =====

* [[IHME|Global Burdens of Disease (GBD)]]
* [[IHME Institute for Health Metrics and Evaluation Population]]

===== International Institute for Applied Systems Analysis (IIASA) =====

* [[Shared Socioeconomic Pathway (SSP) Extensions Explorer, International Institute for Applied Systems Analysis (IIASA)|Shared Socioeconomic Pathway (SSP) Extensions Explorer]]
* [[RCP Representative Concentration Pathways Database|RCP Database, International Institute for Applied Systems Analysis (IIASA)]]

===== International Institute for Management Development (IMD) =====

* [[International Institute for Management Development (IMD) Data]]

===== International Labor Organization (ILO) =====
*[[ILOstat]]
*[[ILO-WIEGO Statistical Reports]]

=====International Monetary Fund (IMF)=====

* [[Balance of Payments and International Investment Position statistics (BoP/IIP), IMF|Balance of Payments and International Investment Position statistics (BoP/IIP)]]
* [[Fiscal Monitor, IMF|Fiscal Monitor]]
* [[International Financial Statistics, IMF]]
* [[World Economic Outlook, IMF|World Economic Outlook (WEO)]]
* [[IMF GFS Government Finance Statistics|Government Finance Statistics (GFS)]]
* [[IMF COFOG Classifications of Functions of Government|Classification of the Functions of Government (COFOG)]]

===== Inter-Parliamentary Union =====

* [[Women in Parliaments, Inter-Parliamentary Union]]

===== International Renewable Energy Agency (IRENA) =====

* [[Energy Data, International Renewable Energy Agency (IRENA)|Energy Data]]

===== International Research & Exchanges Board (IREX) =====

* [[International Research & Exchanges Board (IREX) Data]]

===== International Study Center, Boston College =====

* [[TIMMS & PIRLS, International Study Center, Boston College|TIMMS & PIRLS]]

===== International Telecommunications Union (ITU) =====

* [[World Telecommunication Indicators Database, ITU|World Telecommunication Indicators Database]] = database has been discontinued
* [[International Telecommunication Union DataHub]]
* [[Global Cybersecurity Index (GCI), ITU]]

===== International Organization of Motor Vehicle Manufacturers (OICA) =====

* [[International Organization of Motor Vehicle Manufacturers (OICA) Data]]

===== Kellogg Institute For International Studies =====

* [[Kellogg Institute Data]]

===== LIS Cross-National Data Center =====

* [[LIS Cross-National Data Center Data]]

===== Mo Ibrahim Foundation =====

* [[Ibrahim Index of African Governance, Mo Ibrahim Foundation]]

===== MyGeoHub =====

* [[MY GEO HUB|Historical Irrigation Dataset (HID), MyGeoHub]]

===== National Science Foundation (NSF) =====

* [[Science and Engineering Indicators, National Science Foundation (NSF)]]
* [[Science and Technology Studies (STS), National Science Foundation (NSF)]]

===== [[OECD The Organisation for Economic Co-operation and Development|Organisation of Economic Cooperation and Development (OECD)]] =====
* [[OECD Statistics Database Online|OECD Statistics Database]]
* [[Measuring the Internet Economy, Organisation for Economic Co-operation and Development (OECD)|Measuring the Internet Economy]]
* [[Pensions at a Glance, Organisation for Economic Co-operation and Development (OECD)|Pensions at a Glance]]
* [[Transport Data and Statistics, International Transport Forum (ITF)]]
*[[Social Institutions and Gender Index, OECD|Social Institutions and Gender Index]]
*[[OECD Science & Technology|Science & Technology]]
*[[Structural Analysis Database (STAN), OECD|Structural Analysis Database (STAN)]]
*[[OECD Factbook|Organisation for Economic Co-operation and Development (OECD) Factbook]]
*[[OECD Information Technology Outlook (ITO)|Organisation for Economic Co-operation and Development (OECD) Information Technology Outlook]]

===== Political Terror Scale (PTS) =====

* [[Political Terror Scale (PTS) Data]]

===== Population Reference Bureau (PRB) =====

* [[Population Reference Bureau (PRB)|Assorted Annual Population Data Sheets, Population Reference Bureau]]

===== Potsdam Institute for Climate Impact Research (PIK) =====

* [[Climate Data, Potsdam Institute for Climate Impact Research (PIK)]]

===== PRIS Project =====

* [[IRIS, PRIS Project]]

===== Reporters Without Borders =====

* [[Worldwide Press Freedom Index, Reporters Without Borders|Worldwide Press Freedom Index]]

===== Royal Netherlands Meteorological Institute (WMO KNMI) =====

* [[World Meteorological Organization Climate Explorer Reports]]

===== SpeedTest =====

* [[SpeedTest Data]]

===== The Conference Board =====

* [[Total Economy Database, The Conference Board]]

===== Transparency International (TI) =====

* [[Transparency International|Corruption Perceptions Index]]

===== UBS Group AG =====

* [[Global Wealth Report, UBS Group AG|Global Wealth Report]]

===== UCDP =====

* [[Uppsala Conflict Data Program (UCDP) Datasets]]
* [[UCDP/PRIO Armed Conflict Database|Uppsala Conflict Data Program (UCDP)/Peace Research Institute Oslo (PRIO) Armed Conflict Dataset]]

===== United Nations Economic Commission for Europe (UNECE) =====

* [[United Nations Economic Commission for Europe (UNECE) Data|United Nations Economic Commission for Europe Data]]

===== United Nations =====

* [[Joint United Nations Programme on HIV/AIDS (UNAIDS)]]
* [[World Population Prospects (WPP), United Nations Population Division (UNPD)]]
* United Nations Department of Economic and Social Affairs
** [[United Nation World Marriage Data, United Nations Department of Economic and Social Affairs|United Nation World Marriage Data]]
* United Nations Educational, Scientific and Cultural Organization (UNESCO)
** [[Institute for Statistics, UNESCO (UIS)]]
*[[General Assembly of the United Nations (UNGA)]]
* [[United Nations Industrial Development Organization (UNIDO)]]
* United Nations International Children's Emergency Fund (UNICEF)
** [[Child protection and development, UNICEF|Child protection and development]]
*[[United Nations Office of Drug and Crime (UNODC)]]
**[[United Nations Surveys on Crime Trends and the Operations of Criminal Justice Systems (UN-CTS), UNODC]]
*[[United Nation SDG Indicators Global Database (UNSDG)]]
*[[United Nations Statistics Division (UNSD)]]
**[[Environmental Indicators, UNSD]]
*[[United Nations Treaty Collection]]
*[[UN Trade and Development (UNCTAD)]]
*[[World Tourism Organization (UN Tourism)]]
*[[Millennium Development Goals Database, UN|Millennium Development Goals Database]]

===== University of Maryland =====

* [[Global Terrorism Database, University of Maryland|Global Terrorism Database]]
* [[Peace and Conflict Instability Ledger, University of Maryland/Center for International Development and Conflict Management (CIDCM)|Peace and Conflict Instability Ledger]]
* [[Minorities at risk|All Minorities at Risk (AMAR) Project]]

===== University of Pennsylvania =====

* [[The Political Constraint Index (POLCON), University of Pennsylvania|The Political Constraint Index (POLCON)]]

===== UN University World Institute for Development Economics Research (UNU WIDER) =====

* [[World Income Inequality Database, UN University World Institute for Development Economics Research (UNU WIDER)|World Income Inequality Database]]

===== US Energy Information Administration (EIA) =====

* [[Energy Information Administration (EIA)|Energy Information Administration Data]]

===== US Geological Survey =====

* [[World Petroleum Assessment, U.S. Geological Survey|World Petroleum Assessment]]

===== Vision of Humanity =====

* [[Vision of Humanity Data|Vision of Humanity]]

===== Wittgenstein Centre =====

* [[Wittgenstein Centre Human Capital Data Explorer]]

===== World Bank =====

* [[The Atlas of Social Protection Indicators of Resilience and Equity (ASPIRE), World Bank|The Atlas of Social Protection Indicators of Resilience and Equity (ASPIRE)]]
* [[Business Ready (B-READY), World Bank|Business Ready (B-READY)]]
* [[Climate Change Action Plan (CCAP), World Bank|Climate Change Action Plan (CCAP)]]
* [[Climate Change Knowledge Portal, World Bank|Climate Change Knowledge Portal]]
* [[Country Policy and Institutional Assessment (CPIA), World Bank|Country Policy and Institutional Assessment (CPIA)]]
* [[Database of Political Institutions, World Bank|Database of Political Institutions]]
* [[Education Statistics (EdStats), World Bank|Education Statistics (EdStats)]]
*[[Gender Statistics, World Bank|Gender Statistics]]
*[[Global Financial Development, World Bank|Global Financial Development]]
*[[Informal Economy Database]]
*[[Road Costs Knowledge System (ROCKS), World Bank|Road Costs Knowledge System (ROCKS)]]
*[[Knowledge Economy Index, World Bank]]
*[[Poverty and Inequality Platform, World Bank|Poverty and Inequality Platform]]
*[[Private Participation in Infrastructure (PPI) Project Database, World Bank|Private Participation in Infrastructure (PPI) Project Database]]
*[[World Development Indicators, World Bank|World Development Indicators (WDI)]]
*[[World Development Report, World Bank|World Development Report]]
*[[International Development Association, World Bank|International Development Association]]
*[[Global Integrity Index]]

===== World Democratic Forum (WDF) =====

* [[World Democratic Forum (WDF) Data]]

===== World Economic Forum =====

*[[Global Competitiveness Index, World Economic Forum]]

===== [[World Energy Council (WEC)]]=====

* [[Oil & Gas Journal, WEC]]

===== World Health Organization (WHO)=====

*[[Global Health Expenditure Database, WHO|Global Health Expenditure Database]]
*[[Joint Monitoring Programme, WHO/UNICEF|Joint Monitoring Programme (JMP)]]
*[[WHO Tobacco Free Initiative (TFI)]]
*[[Surveillance of chronic disease Risk Factors (SuRF), WHO|Surveillance of chronic disease Risk Factors (SuRF)]]
*[[World Malaria Report, WHO]]

===== World Intellectual Property Organization (WIPO) =====
* [[The Global Innovation Index, World Intellectual Property Organization (WIPO)]]

===== World Justice Project =====

*[[World Justice Project Rule of Law Index|Rule of Law Index]]

===== World Poverty Clock =====

* [[World Poverty Clock|World Poverty Clock Data]]

=====World Trade Organization (WTO)=====

* [[Dispute Statistics, WTO]]

=====World Value Survey (WVS)=====

* [[World Value Survey|World Value Survey Data]]

==== [[Research Papers/Projects]] ====

==== [[Preprocessor|Preprocessors]] ====

Historical GDP/GDPPC/Population

2025-07-23T18:07:50Z

Yun.Xie:

= '''Summary''' =
The historical GDP, population, and GDPPC data is pulled from the article '''"New Estimates of Over 500 Years of Historic GDP and Population Data"''' by Fariss et al. (2022). The article proposed a dynamic latent variable model to address three major issues in historical GDP, population, and GDP per capita data. Namely 1) missing data, 2) measurement uncertainty, 3) systematic bias across sources.

The authors built a dynamic latent variable model that combined multiple historical and contemporary datasets. The work was supported by the Security and Political Economy (SPEC) Lab at the University of Southern California.

For population and GDP per capita, the latent trait model parameters were constructed based on following formula:
[[File:Farris et al., 2022.png|thumb|450x450px|(Farris et al., 2022)]]

= Tables in IFs =
{| class="wikitable"
|Variable
|Table
|Definition
|Last IFs Update
|UsedInPreprocessor
|-
|HistoricalGDP%mean
|SeriesHistoricalGDP%mean
|Mean of historical GDP values extended with a Latent Variable Modeling Framework.
|7/23/2025
|0
|-
|HistoricalGDP%meanLog10
|SeriesHistoricalGDP%meanLog10
|Mean of log10 of historical GDP values extended with a Latent Variable Modeling Framework.
|7/23/2025
|0
|-
|HistoricalGDP%sd
|SeriesHistoricalGDP%sd
|SD of historical GDP values extended with a Latent Variable Modeling Framework.
|7/23/2025
|0
|-
|HistoricalGDP%sdlog10
|SeriesHistoricalGDP%sdlog10
|SD of log10 of historical GDP values extended with a Latent Variable Modeling Framework.
|7/23/2025
|0
|-
|HistoricalGDPPC%mean
|SeriesHistoricalGDPPC%mean
|Mean of historical GDP per capita values extended with a Latent Variable Modeling Framework.
|7/23/2025
|0
|-
|HistoricalGDPPC%meanlog10
|SeriesHistoricalGDPPC%meanlog10
|Mean of log10 of historical GDP per capita values extended with a Latent Variable Modeling Framework.
|7/23/2025
|0
|-
|HistoricalGDPPC%sd
|SeriesHistoricalGDPPC%sd
|SD of historical GDP per capita values extended with a Latent Variable Modeling Framework.
|7/23/2025
|0
|-
|HistoricalGDPPC%sdlog10
|SeriesHistoricalGDPPC%sdlog10
|SD of log10 of historical GDP per capita values extended with a Latent Variable Modeling Framework.
|7/23/2025
|0
|-
|HistoricalPOP%mean
|SeriesHistoricalPOP%mean
|Mean of historical population values extended with a Latent Variable Modeling Framework.
|7/23/2025
|0
|-
|HistoricalPOP%meanlog10
|SeriesHistoricalPOP%meanlog10
|Mean of log10 of historical population values extended with a Latent Variable Modeling Framework.
|7/23/2025
|0
|-
|Historicalpop%sd
|SeriesHistoricalpop%sd
|SD of historical population values extended with a Latent Variable Modeling Framework.
|7/23/2025
|0
|-
|HistoricalPOP%sdlog10
|SeriesHistoricalPOP%sdlog10
|SD of log10 of historical population values extended with a Latent Variable Modeling Framework.
|7/23/2025
|0
|}

= Data Pulling Instructions =

====== Step 1: ======
To pull data from this paper, go to:

<nowiki>https://journals.sagepub.com/doi/full/10.1177/00220027211054432</nowiki>

In the Acknowledgements section, there is a link to the predicted data:

<nowiki>https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FALCGS</nowiki>
[[File:Data source.png|thumb]]

====== Step 2: ======
Download the most updated datafiles (in this example, in 2024).

= Data Notes =
1. The paper was published in 2022. In 2024, the author shared an updated version of the datafile.

2. The data files are in .rds format, if using R, open the file and it will automatically import; if using python, use the ''read_r'' function in the ''pyreadr'' package.

3. The datafile included predicted values as well as datasets used in the modeling, slice “latent_gdp”, “latent_gdppc”, “latent_pop” from the indicator column of corresponding datafiles for the predicted values.

4. GWNO codes and corresponding country names were provided in the supplementary files of the original paper. However, the supplementary only provided corresponding codes for 217 countries/regions and the dataset had 225 countries/regions (missing: 89,99,327, 396,397, 563,564,711). For the additional gwno codes, use this link for corresponding country names: <nowiki>http://ksgleditsch.com/data-4.html</nowiki>.

File:Data source.png

2025-07-23T18:06:11Z

Yun.Xie:

data source

File:Farris et al., 2022.png

2025-07-23T17:57:39Z

Yun.Xie:

(Fariss et al., 2022)

Historical GDP/GDPPC/Population

2025-07-23T17:55:22Z

Yun.Xie: Created page with "<inputbox> type=create width=100 break=no buttonlabel=Create new article placeholder=Article title </inputbox>"

<inputbox>
type=create
width=100
break=no
buttonlabel=Create new article
placeholder=Article title
</inputbox>

Research Papers/Projects

2025-07-23T17:52:12Z

Yun.Xie: added a data source that is a research paper

Listed are research papers and projects (cited in APA) that have been used in IFs tables. Most of these resources are one time data sources because they usually do not get updated by the authors. Therefore, they might be replaced in the future, but they are important references to have in the databases.
{| class="wikitable"
|+
!Research Paper/Project
!Research Citation and Link
!Table in IFs
!UsedInPreprocessor
!Last IFs Update
|-
|New Estimates of Over 500 Years of Historic GDP and Population Data
|Fariss, C. J., Anders, T., Markowitz, J. N., & Barnum, M. (2022). New Estimates of Over 500 Years of Historic GDP and Population Data. ''Journal of Conflict Resolution'', ''66''(3), 553-591. <nowiki>https://doi-org.du.idm.oclc.org/10.1177/00220027211054432</nowiki> (Original work published 2022)
|HistoricalGDP%mean
HistoricalGDP%meanLog10

HistoricalGDP%sd

HistoricalGDP%sdlog10

HistoricalGDPPC%mean

HistoricalGDPPC%meanlog10

HistoricalGDPPC%sd

HistoricalGDPPC%sdlog10

HistoricalPOP%mean

HistoricalPOP%meanlog10

Historicalpop%sd

HistoricalPOP%sdlog10
|No
|7/23/2025
|-
|Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty.
|Crespo Cuaresma, J., Fengler, W., Kharas, H. et al. Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty. ''Palgrave Commun'' 4, 29 (2018). <nowiki>https://doi.org/10.1057/s41599-018-0083-y</nowiki>
|ForecastPovRate1D90WPCSSP1
ForecastPovRate1D90WPCSSP2

ForecastPovRate1D90WPCSSP3

ForecastPovRate1D90WPCSSP4

ForecastPovRate1D90WPCSSP5
|No
|10/14/2021
10/15/2021

10/15/2021

10/15/2021

10/15/2021
|-
|Determinants of Nuclear Weapons Proliferation
|Jo, D.-J., & Gartzke, E. (2007). Determinants of Nuclear Weapons Proliferation. ''The Journal of Conflict Resolution'', 51(1), 167–194. <nowiki>https://doi.org/10.1177/0022002706296158</nowiki>
|SecNuclearProdCap
|No
|5/3/2010
|-
|Economic impacts of tipping points in the climate system
|S. Dietz, J. Rising, T. Stoerk, & G. Wagner. (2021). Economic impacts of tipping points in the climate system, ''Proc. Natl. Acad. Sci. U.S.A.'' 118 (34) e2103081118, <nowiki>https://doi.org/10.1073/pnas.2103081118</nowiki>.
|ForecastGDP2011PCPPPOECDSSP1RCP26TP
ForecastGDP2011PCPPPOECDSSP2RCP45TP

ForecastGDP2011PCPPPOECDSSP3RCP60TP

ForecastGDP2011PCPPPOECDSSP4RCP60TP

ForecastGDP2011PCPPPOECDSSP5RCP85TP
|No
|12/4/2023
12/4/2023

12/4/2023

12/4/2023

12/4/2023
|-
|From hot rock to useful energy: A global estimate of enhanced geothermal systems potential.
| Aghahosseini, A., & Breyer, C. (2020). From hot rock to useful energy: A global estimate of enhanced geothermal systems potential. Applied Energy, 279, Article 115769. <nowiki>https://doi.org/10.1016/j.apenergy.2020.115769</nowiki>
|EnPotentialGeothermal

EnPotentialGeothermalSustainable
|No
Yes
|8/2/2024
8/2/2024
|-
|Fractionalization
|Alesina, A., Devleeschauwer, A., Easterly, W., Kurlat, S., & Wacziarg, R. (2003). Fractionalization. ''Journal of Economic Growth'' (Boston, Mass.), 8(2), 155–194. <nowiki>https://doi.org/10.1023/A:1024471506938</nowiki>
|EthnicFracEthinicity
EthnicFracLanguage

EthnicFracReligion
|No
|9/8/2010
9/8/2010

9/8/2010
|-
|Long-term economic growth projections in the Shared Socioeconomic Pathways.
|Dellink, R., Chateau, J., Lanzi, E., & Magné, B. (2017). Long-term economic growth projections in the Shared Socioeconomic Pathways. Global Environmental Change, 42, 200–214. <nowiki>https://doi.org/10.1016/j.gloenvcha.2015.06.004</nowiki>
|ForecastTFPDellinkSSP1
ForecastTFPDellinkSSP12015

ForecastTFPDellinkSSP2

ForecastTFPDellinkSSP22015

ForecastTFPDellinkSSP3

ForecastTFPDellinkSSP32015

ForecastTFPDellinkSSP4

ForecastTFPDellinkSSP42015

ForecastTFPDellinkSSP5

ForecastTFPDellinkSSP52015

TFPDellinkHist

TFPDellinkHistPctChng

ForecastTFPDellinkSSP1PcntChng

ForecastTFPDellinkSSP2PcntChng

ForecastTFPDellinkSSP3PcntChng

ForecastTFPDellinkSSP4PcntChng

ForecastTFPDellinkSSP5PcntChng
|No
|6/26/2019
6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019

6/26/2019
|-
|Shadow Economies and Corruption All Over the World: Revised Estimates for 120 Countries
|Andreas Buehn, & Friedrich Schneider. (2007). Shadow Economies and Corruption All Over the World: Revised Estimates for 120 Countries Shadow Economies and Corruption All Over the World: Revised Estimates for 120 Countries. ''Economics. The Open-Access, Open-Assessment e-Journal''.
|EconShadow%GDP
|No
|4/9/2010
|-
|Quantitative maps of groundwater resources in Africa
|MacDonald, A. M., Bonsor, H. C., Dochartaigh, B. É. Ó., & Taylor, R. G. (2012). Quantitative maps of groundwater resources in Africa. ''Environmental Research Letters'', 7(2), 24009–7. <nowiki>https://doi.org/10.1088/1748-9326/7/2/024009</nowiki>
|WaterResGroundAfrica
|Yes
|8/29/2014
|-
|Top 20 countries with the highest hydropower potential per capita
|Hoes, O. A. C., Meijer, L. J. J., van der Ent, R. J., & van de Giesen, N. C. (2017). Top 20 countries with the highest hydropower potential per capita. (Version 1). ''PLOS ONE''. <nowiki>https://doi.org/10.1371/journal.pone.0171844.t001</nowiki>
|EnPotentialHydro
|No
|7/23/2024
|-
|Global potential for wind-generated electricity, PNAS
|X. Lu, M.B. McElroy, & J. Kiviluoma. (2009). Global potential for wind-generated electricity, ''Proc. Natl. Acad. Sci. U.S.A.'' 106 (27) 10933-10938, <nowiki>https://doi.org/10.1073/pnas.0904101106</nowiki>
|EnPotentialWind
EnPotentialWindOffshore

EnPotentialWindOnshore
|Yes
No
No
|7/23/2024
7/23/2024

7/23/2024
|-
|Ethnolinguistic Fractionalization (ELF) Indices
|Philip G. Roeder. 2001. "Ethnolinguistic Fractionalization (ELF) Indices, 1961 and 1985." 2001. http//:weber.ucsd.edu\~proeder\elf.htm.
|EthnoLinguisticFract
|No
|
|-
|A revised list of independent states since the congress of Vienna
|Gleditsch, K. S., & Ward, M. D. (1999). A revised list of independent states since the congress of Vienna. ''International Interactions'', ''25''(4), 393–413. <nowiki>https://doi.org/10.1080/03050629908434958</nowiki>
|GovNationalSystemMemberGleditschWard
|No
|11/8/2012
|-
|Income inequality projections for the Shared Socioeconomic Pathways (SSPs).
| Rao, N. D., Sauer, P., Gidden, M., & Riahi, K. (2019). Income inequality projections for the Shared Socioeconomic Pathways (SSPs). Futures : The Journal of Policy, Planning and Futures Studies, 105, 27–39. <nowiki>https://doi.org/10.1016/j.futures.2018.07.001</nowiki>
|ForecastGiniRaoSSP1
ForecastGiniRaoSSP1ConflictAdj

ForecastGiniRaoSSP1ConflictAdjHi

ForecastGiniRaoSSP1ConflictAdjLo

ForecastGiniRaoSSP2

ForecastGiniRaoSSP2ConflictAdj

ForecastGiniRaoSSP2ConflictAdjHi

ForecastGiniRaoSSP2ConflictAdjLo

ForecastGiniRaoSSP3

ForecastGiniRaoSSP3ConflictAdj

ForecastGiniRaoSSP3ConflictAdjHi

ForecastGiniRaoSSP3ConflictAdjLo

ForecastGiniRaoSSP4

ForecastGiniRaoSSP4ConflictAdj

ForecastGiniRaoSSP4ConflictAdjHi

ForecastGiniRaoSSP4ConflictAdjLo

ForecastGiniRaoSSP5

ForecastGiniRaoSSP5ConflictAdj

ForecastGiniRaoSSP5ConflictAdjHi

ForecastGiniRaoSSP5ConflictAdjLo
|No
|11/15/2022
7/6/2022

7/6/2022

7/6/2022

11/15/2022

7/6/2022

7/6/2022

7/6/2022

11/15/2022

7/6/2022

7/6/2022

7/6/2022

11/15/2022

7/6/2022

7/6/2022

7/6/2022

11/15/2022

7/6/2022

7/6/2022

7/6/2022
|-
|Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty.
|Crespo Cuaresma, J., Fengler, W., Kharas, H. et al. Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty. ''Palgrave Commun'' 4, 29 (2018). <nowiki>https://doi.org/10.1057/s41599-018-0083-y</nowiki>
|ForecastPovRate1D90WPCSSP1
ForecastPovRate1D90WPCSSP2

ForecastPovRate1D90WPCSSP3

ForecastPovRate1D90WPCSSP4

ForecastPovRate1D90WPCSSP5
|No
|10/14/2021
10/15/2021

10/15/2021

10/15/2021

10/15/2021
|-
|World Population & Human Capital in the Twenty-First Century: An Overview
|Lutz, Wolfgang, William P Butz, and Samir KC (eds), ''World Population & Human Capital in the Twenty-First Century: An Overview'' (Oxford, 2017; online edn, Oxford Academic, 12 Nov. 2020), <nowiki>https://doi.org/10.1093/oso/9780198813422.001.0001</nowiki>.
|EmigrationFemaleTotal
EmigrationMaleTotal

ImmigrationFemaleTotal

ImmigrationMaleTotal
|No
|12/11/2017
12/11/2017

12/11/2017

12/11/2017
|-
|Forecasting civil conflict along the shared socioeconomic pathways.

|Hegre, H., Buhaug, H., Calvin, K. V., Nordkvelle, J., Waldhoff, S. T., & Gilmore, E. (2016). Forecasting civil conflict along the shared socioeconomic pathways. ''Environmental Research Letters'', 11(5), 54002–54009. <nowiki>https://doi.org/10.1088/1748-9326/11/5/054002</nowiki>
|ConflictProbHegreSSP1
ConflictProbHegreSSP2

ConflictProbHegreSSP3

ConflictProbHegreSSP4

ConflictProbHegreSSP5
|No
|7/30/2021
7/30/2021

7/30/2021

7/30/2021

7/30/2021
|-
|Economic impacts of tipping points in the climate system.
|Dietz, S., Rising, J., Stoerk, T., & Wagner, G. (2021). Economic impacts of tipping points in the climate system. ''Proceedings of the National Academy of Sciences - PNAS'', 118(34), 1–9. <nowiki>https://doi.org/10.1073/pnas.2103081119</nowiki>
|ForecastGDP2011PCPPPOECDSSP1RCP26TP
ForecastGDP2011PCPPPOECDSSP2RCP45TP

ForecastGDP2011PCPPPOECDSSP3RCP60TP

ForecastGDP2011PCPPPOECDSSP4RCP60TP

ForecastGDP2011PCPPPOECDSSP5RCP85TP
|No
|12/4/2023
12/4/2023

12/4/2023

12/4/2023

12/4/2023
|-
|A consistent dataset for net income deciles for 190 countries, aggregated to 32 geographical regions and the world from 1958-2015
|Narayan, K. B., O’Neill, B. C., Waldhoff, S., & Tebaldi, C. (2024). A consistent dataset for the net income distribution for 190 countries and aggregated to 32 geographical regions from 1958 to 2015. ''Earth System Science Data'', ''16''(5), 2333–2349. <nowiki>https://doi.org/10.5194/essd-16-2333-2024</nowiki>
|GiniImputedESSD
|No
|5/20/2024
|-
|Solar Photovoltaic Power Potential by Country, World Bank
|Solar Photovoltaic Power Potential by Country, (2020). World Bank
|EnPotentialSolarLandConstraints
EnPotentialSolarTheoretical
|Yes
No
|7/23/2024
7/23/2024
|-
|Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database
|Solt, Frederick. 2020. “Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database.” ''Social Science Quarterly'' 101(3):1183-1199. SWIID Version 9.9, December 2024.
|GiniDispLowerSWIID
GiniMktLowerSWIID
|No
|12/13/2022
12/14/2022
|-
|Ethnolinguistic Fractionalization (ELF) Indices
|Philip G. Roeder. 2001. "Ethnolinguistic Fractionalization (ELF) Indices, 1961 and 1985." 2001. http//:weber.ucsd.edu\~proeder\elf.htm.
|EthnoLinguisticFract
|No
|10/16/02
|-
|Public Debt around the World: A New Dataset of Central Government Debt
|Jaimovich, D., & Panizza, U. (2011). ''Public Debt around the World: A New Dataset of Central Government Debt''. <nowiki>https://doi.org/10.18235/0010859</nowiki>
|GovDebt%GDPJaimPan
|No
|6/18/2009
|-
|Quantitative maps of groundwater resources in Africa
|MacDonald, A. M., Bonsor, H. C., Dochartaigh, B. É. Ó., & Taylor, R. G. (2012). Quantitative maps of groundwater resources in Africa. ''Environmental Research Letters'', ''7''(2), 24009–7. <nowiki>https://doi.org/10.1088/1748-9326/7/2/024009</nowiki>
|WaterResGroundAfrica
|Yes
|8/29/2014
|-
|Evaluation of the costs and benefits of interventions to reduce indoor air pollution
|Hutton, G., Rehfuess, E., & Tediosi, F. (2007). Evaluation of the costs and benefits of interventions to reduce indoor air pollution. ''Energy for Sustainable Development'', ''11''(4), 34–43. <nowiki>https://doi.org/10.1016/S0973-0826(08)60408-1</nowiki>
|EnvTradStove%HHRural
EnvTradStove%HHUrban
|No
|11/17/2013
11/17/2013
|-
|Evolution of modeling of the economics of global warming: changes in the DICE model, 1992–2017
|Nordhaus, W. (2018). Evolution of modeling of the economics of global warming: changes in the DICE model, 1992–2017. ''Climatic Change'', ''148''(4), 623–640. <nowiki>https://doi.org/10.1007/s10584-018-2218-y</nowiki>
|ForecastGDP2011PCPPPOECDSSP1RCP26
ForecastGDP2011PCPPPOECDSSP2RCP45

ForecastGDP2011PCPPPOECDSSP3RCP60

ForecastGDP2011PCPPPOECDSSP4RCP60

ForecastGDP2011PCPPPOECDSSP5RCP85
|No
|12/4/2023
12/4/2023

12/4/2023

12/4/2023

12/4/2023
|-
|Global patterns of current and future road infrastructure
|Meijer, J. R., Huijbregts, M. A. J., Schotten, K. C. G. J., & Schipper, A. M. (2018). Global patterns of current and future road infrastructure. ''Environmental Research Letters'', 13(6), 64006-. <nowiki>https://doi.org/10.1088/1748-9326/aabd42</nowiki>
|LocalRoadGRIP
MainRoadGRIP

SecRoadGRIP

TerRoadGRIP

TotRoadGRIP
|No
|8/10/2021
8/10/2021

8/10/2021

8/10/2021

8/10/2021
|-
|The Costs of Meeting the 2030 SDG Targets on Drinking Water, Sanitation, and Hygiene,
|Hutton and Varughese, (2016). The Costs of Meeting the 2030 SDG Targets on Drinking Water, Sanitation, and Hygiene, World Bank Report
|WSSJMPHandWashCostRuralHandwashingStationSoapWater
WSSJMPSanitationCostRuralDryPitLatrine

WSSJMPSanitationCostRuralPitLatrineWithFSM

WSSJMPSanitationCostRuralPitLatrineWST

WSSJMPSanitationCostRuralUnimprovedPitLatrine

WSSJMPSanitationCostRuralWetPitLatrine

WSSJMPSanitationCostUrbanLatrineWithSepticTank

WSSJMPSanitationCostUrbanSepticTankWithFSM

WSSJMPSanitationCostUrbanSewerageWithTreatment

WSSJMPSanitationCostUrbanWetPitLatrine

WSSJMPWaterCostRuralDugwell

WSSJMPWaterCostRuralPipedOnPlot

WSSJMPWaterCostRuralTubewellBorehole

WSSJMPWaterCostUrbanDugwell

WSSJMPWaterCostUrbanPipedOnPlot

WSSJMPWaterCostUrbanTubewellBorehole

WSSJMPHandWashCostUrbanHandwashingStationSoapWater
|No
|5/4/2022
5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022

5/4/2022
|-
|Closing yield gaps through nutrient and water management
|Mueller, N. D., Gerber, J. S., Johnston, M., Ray, D. K., Ramankutty, N., & Foley, J. A. (2012). Closing yield gaps through nutrient and water management. ''Nature (London)'', ''490''(7419), 254–257. <nowiki>https://doi.org/10.1038/nature11420</nowiki>
|YieldIntWtMueller
|Yes
|12/10/2020
|-
|Global nuclear weapons inventories, 1945-2010
|Norris, R. S., & Kristensen, H. M. (2010). Global nuclear weapons inventories, 1945-2010. ''Bulletin of the Atomic Scientists'', ''66''(4), 77–83. <nowiki>https://doi.org/10.2968/066004008</nowiki>
|RelativePowerNukes
RelativePowerNukesLN
|No
|3/8/2015
|-
|IMF/Global Financial Integrity
|IMF/Global Financial Integrity, (2017). Illicit Financial Flows to and from Developing Countries: 2005-2014
|IFFInNEO$
IFFInTMHi$

IFFInTMLo$

IFFInTotalHi$

IFFInTotalHi%

IFFInTotalLo$

IFFInTotalLow%

IFFOUTNEO$

IFFOutTMHi$

IFFOutTMLow$

IFFOutTotalHi$

IFFOutTotalHi%

IFFOutTotalLo$

IFFOutTotalLow%
|No
|7/20/2017
7/20/2017

7/20/2017

7/20/2017

7/17/2017

7/20/2017

7/17/2017

7/20/2017

7/20/2017

7/20/2017

7/20/2017

7/17/2017

7/20/2017

7/17/2017
|-
|The Challenge of Public Pension Reform in Advanced and Emerging Economies
|The Challenge of Public Pension Reform in Advanced and Emerging Economies, IMF (2011). <nowiki>https://www.imf.org/external/np/pp/eng/2011/122811.pdf</nowiki>
|PensionableAgeMenIMF&OECD
PensionableAgeWomenIMF&OECD

PublicPensionExpenditure%GDPIMF
|No
|1/7/2016
1/7/2016

1/7/2016
|}