A global dataset of 7 billion individuals with socio-economic characteristics

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/107645 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/107645 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/107645 archive 2 disk0/00/02/00/24 2024-10-07 17:48:06 2025-10-22 11:36:10 2024-10-07 17:48:06 article show Ton M.J. Ingels M.W. de Bruijn J.A 8884 0000-0003-3961-6382 de Moel H. Reimann L. Botzen W.J.W. Aerts J.C.J.H. A global dataset of 7 billion individuals with socio-economic characteristics pub BNR WAT In global impact modeling, there is a need to address the heterogeneous characteristics of households and individuals that drive different behavioral responses to, for example, environmental risk, socio-economic policy changes and spread of diseases. In this research, we present GLOPOP-S, the first global synthetic population dataset with 1,999,227,130 households and 7,335,881,094 individuals for the year 2015, consistent with population statistics at an administrative unit 1 level. GLOPOS-S contains the following attributes: age, education, gender, income/wealth, settlement type (urban/rural), household size, household type, and for selected countries in the Global South, ownership of agricultural land and dwelling characteristics. To generate GLOPOP-S, we use microdata from the Luxembourg Income Study (LIS) and Demographic and Health Surveys (DHS) and apply synthetic reconstruction techniques to fit national survey data to regional statistics, thereby accounting for spatial differences within and across countries. Additionally, we have developed methods to generate data for countries without available microdata. The dataset can be downloaded per region or country. GLOPOP-S is open source and can be extended with other attributes. 2024-10-07 doi:10.1038/s41597-024-03864-2 3164 public Scientific Data 11 e1096 TRUE 2052-4463 https://github.com/VU-IVM/GLOPOP-S/ code What drives human behavior regarding global coastal migration and adaptation in response to sea level rise and extreme flood events? (COASTMOVE, H2020 884442) yes info:eu-repo/grantAgreement/EC/H2020/884442/EU//COASTMOVE info:eu-repo/semantics/article info:eu-repo/semantics/openAccess