Data from: Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015
Data files
Jan 10, 2019 version files 481.82 MB
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admin_areas_GDP_HDI.nc
614.01 KB
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GDP_per_capita_PPP_1990_2015_v2.nc
12.26 MB
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GDP_PPP_1990_2015_5arcmin_v2.nc
134.03 MB
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GDP_PPP_30arcsec_v2.nc
315.84 MB
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HDI_1990_2015_v2.nc
10.73 MB
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kummu_etal_scidata_code.zip
42.78 KB
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pedigree_GDP_per_capita_PPP_1990_2015_v2.nc
4.23 MB
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pedigree_HDI_1990_2015_v2.nc
4.08 MB
Feb 13, 2020 version files 481.88 MB
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admin_areas_GDP_HDI.nc
614.01 KB
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GDP_per_capita_PPP_1990_2015_v2.nc
12.26 MB
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GDP_PPP_1990_2015_5arcmin_v2.nc
134.03 MB
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GDP_PPP_30arcsec_v3.nc
315.89 MB
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HDI_1990_2015_v2.nc
10.73 MB
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kummu_etal_scidata_code.zip
42.78 KB
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pedigree_GDP_per_capita_PPP_1990_2015_v2.nc
4.23 MB
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pedigree_HDI_1990_2015_v2.nc
4.08 MB
Abstract
An increasing amount of high-resolution global spatial data are available, and used for various assessments. However, key economic and human development indicators are still mainly provided only at national level, and downscaled by users for gridded spatial analyses. Instead, it would be beneficial to adopt data for sub-national administrative units where available, supplemented by national data where necessary. To this end, we present gap-filled multiannual datasets in gridded form for Gross Domestic Product (GDP) and Human Development Index (HDI). To provide a consistent product over time and space, the sub-national data were only used indirectly, scaling the reported national value and thus, remaining representative of the official statistics. This resulted in annual gridded datasets for GDP per capita (PPP), total GDP (PPP), and HDI, for the whole world at 5 arc-min resolution for the 25-year period of 1990–2015. Additionally, total GDP (PPP) is provided with 30 arc-sec resolution for three time steps (1990, 2000, 2015).
- Rasmussen, Laura Vang et al. (2018), Social-ecological outcomes of agricultural intensification, Nature Sustainability, Article-journal, https://doi.org/10.1038/s41893-018-0070-8
- Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A. (2018), Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015, Scientific Data, Article-journal, https://doi.org/10.1038/sdata.2018.4
- Appelt, Jonas L.; Garcia Rojas, Diana C.; Verburg, Peter H.; van Vliet, Jasper (2022), Socioeconomic outcomes of agricultural land use change in Southeast Asia, Ambio, Journal-article, https://doi.org/10.1007/s13280-022-01712-4
- Nirandjan, Sadhana; Koks, Elco E.; Ward, Philip J.; Aerts, Jeroen C. J. H. (2022), A spatially-explicit harmonized global dataset of critical infrastructure, Scientific Data, Journal-article, https://doi.org/10.1038/s41597-022-01218-4
- Rizzati, Massimiliano et al. (2022), The local costs of global climate change: spatial GDP downscaling under different climate scenarios, Spatial Economic Analysis, Journal-article, https://doi.org/10.1080/17421772.2022.2096917
- Liu, Lanfang et al. (2022), The establishment of an eco-environmental evaluation model for southwest China and eastern South Africa based on the DPSIR framework, Ecological Indicators, Journal-article, https://doi.org/10.1016/j.ecolind.2022.109687
- Rodgers, Timothy et al. (2022), Where do they come from, where do they go? Emissions and fate of OPEs in global megacities, [], Posted-content, https://doi.org/10.21203/rs.3.rs-2273755/v1
- Xu, Wenhao et al. (2024), Globally elevated greenhouse gas emissions from polluted urban rivers, Nature Sustainability, Journal-article, https://doi.org/10.1038/s41893-024-01358-y
- Stein, Lina; Mukkavilli, S. Karthik; Pfitzmann, Birgit M. et al. (2024). Wealth Over Woe: Global Biases in Hydro‐Hazard Research. Earth's Future. https://doi.org/10.1029/2024ef004590
- Williams, Brooke A.; Beyer, Hawthorne L.; Fagan, Matthew E. et al. (2024). Global potential for natural regeneration in deforested tropical regions. Nature. https://doi.org/10.1038/s41586-024-08106-4
- Hao, Lina; Wang, Juanle; Lu, Xia (2024). Spatial and temporal assessment of sustainable development indicators for the China-Pakistan transportation corridor. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2024.2304085
- Evangeliou, Nikolaos; Platt, Stephen M.; Eckhardt, Sabine et al. (2021). Changes in black carbon emissions over Europe due to COVID-19 lockdowns. Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-21-2675-2021
- Zhao, Fang; Nie, Ning; Liu, Yang et al. (2025). Benefits of Calibrating a Global Hydrological Model for Regional Analyses of Flood and Drought Projections: A Case Study of the Yangtze River Basin. Water Resources Research. https://doi.org/10.1029/2024wr037153
- Qi, Yuan; Huang, Bo; Webster, Chris (2025). Rising Global Elderly Health Inequalities in the Face of Temperature Extremes. Earth's Future. https://doi.org/10.1029/2025ef006000
- Lorenț, Adrian; Petrila, Marius; Apostol, Bogdan et al. (2025). Assessing and Mapping Forest Fire Vulnerability in Romania Using Maximum Entropy and eXtreme Gradient Boosting. Forests. https://doi.org/10.3390/f16071156
- Jamison, Anne Spencer; Tadmor, Doron; Henisz, Witold Jerzy (2025). Indigenous peoples’ reactions to foreign direct investment: a social movement perspective. Journal of International Business Studies. https://doi.org/10.1057/s41267-025-00778-y
- Varis, Olli; Zhao, Dandan (2025). China’s eight water risks. International Journal of Water Resources Development. https://doi.org/10.1080/07900627.2024.2448720
- Li, Guohao; Zhuo, Tianyu; Ma, Yifei et al. (2025). Global mangrove natural regeneration potential assessment for identifying carbon potentials of natural regeneration and plantation. Forest Ecology and Management. https://doi.org/10.1016/j.foreco.2025.123195
- Li, Guohao; Zhuo, Tianyu; You, Xueyi (2026). Assessment of global planted-to-natural mangroves biomass ratio and mangroves biomass carbon stocks by machine learning. Environmental Research. https://doi.org/10.1016/j.envres.2025.123263
- Qiu, Ming‐Li; Liu, Dian‐Feng; Zhao, Yu‐Xin et al. (2025). Assessing Assisted Natural Regeneration as a Cost‐Efficient Mitigation for Climate Change and Biodiversity Loss in China. Earth's Future. https://doi.org/10.1029/2024ef005257
- Lamchin, Munkhnasan; Lim, Chul-Hee; Song, Cholho et al. (2025). An integrated assessment of proxies for forest degradation: supporting SDG 15.2 in the Korean Peninsula. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-025-06940-8
- Pourmohamad, Yavar; Abatzoglou, John T.; Fleishman, Erica et al. (2026). Predictive Understanding of Wildfire Ignitions Across the Western United States. Earth's Future. https://doi.org/10.1029/2025ef006935
- Liang, Ying; Wang, Xuan; Ma, Lei et al. (2026). A standardized indicator reveals sharper increases in heat related mortality in temperate zone cities worldwide. Scientific Reports. https://doi.org/10.1038/s41598-025-21897-4
