Subnational data on household welfare helps identify and monitor locations with high concentration of poverty and inequality, resulting in more efficient policy interventions. Yet, very few global databases on poverty and inequality exist at the subnational level. Using the World Bank’s Global Monitoring Database (GMD) of more than 1,250 harmonized, official household (consumption or income) surveys from 172 economies, we present two new global datasets that focus on poverty and inequality at the subnational level: the Subnational Poverty and Inequality Database (SPID) and the Global Subnational Atlas of Poverty (GSAP). SPID, a (unbalanced) panel data set, allows for analysis of longitudinal changes of subnational poverty and inequality within countries based on direct survey estimates. GSAP, a cross-sectional dataset, offers direct and lined-up estimates for nearly all regions in the world for multiple common years. The datasets can also be matched with other georeferenced datasets, such as on natural disasters or climate change, to provide richer analysis.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
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| Author | Affiliation | |
|---|---|---|
| Hai-Anh H. Dang | World Bank | hdang@worldbank.org |
| Minh C. Nguyen | World Bank | mnguyen3@worldbank.org |
| Ben James Brunckhorst | World Bank | bbrunckhorst@worldbank.org |
| Judy Yang | World Bank | jyang4@worldbank.org |
2026-06-04
| Location | Code |
|---|---|
| World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| MIT License | https://opensource.org/license/mit |
| World Bank IGO Rider | https://github.com/worldbank/metadata-editor/blob/main/WB-IGO-RIDER.md |
| Name | Affiliation | |
|---|---|---|
| Hai-Anh H. Dang | World Bank | hdang@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
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