{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DECDI","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2026-06-04","version":"1"},"project_desc":{"authoring_entity":[{"name":"Hai-Anh H. Dang","affiliation":"World Bank","email":"hdang@worldbank.org"},{"name":"Minh C. Nguyen","affiliation":"World Bank","email":"mnguyen3@worldbank.org"},{"name":"Ben James Brunckhorst","affiliation":"World Bank","email":"bbrunckhorst@worldbank.org"},{"name":"Judy Yang","affiliation":"World Bank","email":"jyang4@worldbank.org"}],"title_statement":{"title":"Reproducibility package for A New Global Subnational Poverty And Inequality Database Based On Harmonized Household Surveys","idno":"PP_WLD_2026_649"},"data_statement":"All data sources are publicly available and included in the reproducibility package.","software":[{"name":"Stata","version":"19.5 MP"},{"name":"Tableau","version":"2024"}],"scripts":[{"title":"Reproducibility package for A New Global Subnational Poverty And Inequality Database Based On Harmonized Household Surveys","date":"2026-06","notes":"Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.","instructions":"See README in reproducibility package.","file_name":"RR_WLD_2026_649","zip_package":"RR_WLD_2026_649.zip","dependencies":"Stata dependencies are listed in the ado folder."}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"production_date":"2026-06-04","abstract":"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\u2019s 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.","geographic_units":[{"name":"World","code":"WLD"}],"output":[{"type":"Working Paper","description":"Policy Research Working Papers (PRWP)","title":"A New Global Subnational Poverty And Inequality Database Based On Harmonized Household Surveys"}],"language":[{"name":"English","code":"EN"}],"technology_requirements":"Runtime: ~10 minutes.","disclaimer":"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.","license":[{"name":"MIT License","uri":"https:\/\/opensource.org\/license\/mit"},{"name":"World Bank IGO Rider","uri":"https:\/\/github.com\/worldbank\/metadata-editor\/blob\/main\/WB-IGO-RIDER.md"}],"contacts":[{"name":"Hai-Anh H. Dang","affiliation":"World Bank","email":"hdang@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"datasets":[{"name":"Subnational Poverty and Inequality Database (SPID) \u2013 Version 5","note":"Source: World Bank Development Data Hub.\nAccess date: November, 2025.\nFile location: Database - \"02.input\"; Shapefiles - \"05.maps\\boundaries\"\nFile names: Database - SPID_Subnational_AM25_allgroups_external.dta; Shapefiles: am25_admin0.dta; am25_admin0_shp.dta; AM25_subnat_em.dta; AM25_subnat_em_shp.dta.","access_type":"Data is publicly available and included in the reproducibility package.","license":"Creative Commons Attribution 4.0 (CC-BY 4.0)","license_url":"https:\/\/datacatalog.worldbank.org\/public-licenses?fragment=cc","uri":"https:\/\/datacatalog.worldbank.org\/search\/dataset\/0064796\/subnational-poverty-and-inequality-database-spid","citation":"World Bank. (2025). Subnational Poverty and Inequality Database (SPID) [Dataset]. World Bank. https:\/\/datacatalog.worldbank.org\/search\/dataset\/0064796\/subnational-poverty-and-inequality-database-spid. Accessed on November 2025.","license_uri":"https:\/\/datacatalog.worldbank.org\/public-licenses?fragment=cc"},{"name":"Global Subnational Poverty Atlas (GSAP) \u2013 Version 7","note":"Source: World Bank Development Data Hub.\nAccess date: November, 2025.\nFile location: Database - \"02.input\"; Shapefiles - \"05.maps\\boundaries\"\nFile names: Database - GSAP_lineup2010_external.dta; GSAP_lineup2019_external.dta; GSAP_lineup2021_external.dta; GSAP_lineup2023_external.dta. Shapefiles: GSAP_AM25_2023.dta; GSAP_AM25_2023_shp.dta.","access_type":"Data is publicly available and included in the reproducibility package.","license":"Creative Commons Attribution 4.0 (CC-BY 4.0)","license_url":"https:\/\/datacatalog.worldbank.org\/public-licenses?fragment=cc","uri":"https:\/\/datacatalog.worldbank.org\/search\/dataset\/0042041\/global-subnational-poverty-atlas-gsap","citation":"World Bank. (2025). Global Subnational Poverty Atlas (GSAP) [Dataset]. World Bank. https:\/\/datacatalog.worldbank.org\/search\/dataset\/0042041\/global-subnational-poverty-atlas-gsap Accessed on November 2025.","license_uri":"https:\/\/datacatalog.worldbank.org\/public-licenses?fragment=cc"},{"name":"Poverty and Inequality Platform (PIP)","note":"Source: World Bank Poverty and Inequality Platform, retrieved via Stata pip wrapper.\nAccess date: November 2025.\nFile location: \"03.intermediate\".\nFile names: PIP_300_2021.dta.","access_type":"Data is publicly available and included in the reproducibility package.","license":"Custom license","license_url":"https:\/\/www.worldbank.org\/en\/about\/legal\/terms-of-use-for-datasets","citation":"World Bank. (2025). Poverty and Inequality Platform [dataset]. pip.worldbank.org. Accessed on January 2026."},{"name":"World Bank Country and Lending Groups (CLASS)","note":"Source: Global Poverty and Inequality Team, World Bank.\nAccess date: November 2025.\nFile location: \"02.input\".\nFile names: CLASS.dta.","access_type":"Data is publicly available and included in the reproducibility package.","license":"Custom license","uri":"https:\/\/github.com\/GPID-WB\/Class\/blob\/master\/OutputData\/CLASS.dta","citation":"World Bank. (2025). World Bank Country and Lending Groups [Dataset]. World Bank. https:\/\/datahelpdesk.worldbank.org\/knowledgebase\/articles\/906519-world-bank-country-and-lending-groups Accessed on September 2025."},{"name":"Data Coverage Poverty (Authors' Compilation)","note":"Source: Authors' manual compilation based on the availability of subnational data points or number of survey-representative areas for each country from the SPID database. The layer names are based on each country specific information of administrative divisions.\nFile location: \"02.input\".\nFile names: data_coverage_poverty.csv.","access_type":"Data is publicly available and included in the reproducibility package.","license":"Custom license"},{"name":"World Bank Official Boundaries","note":"Source: World Bank Development Data Hub.\nAccess date: November, 2025.\nFile location: \"05.maps\".\nFile names: WLD_ADM0.dta; WLD_ADM0_shp.dta.","access_type":"Data is publicly available and included in the reproducibility package.","license":"Creative Commons Attribution 4.0 (CC-BY 4.0)","license_url":"https:\/\/datacatalog.worldbank.org\/public-licenses?fragment=cc","uri":"https:\/\/datacatalog.worldbank.org\/search\/dataset\/0038272\/World-Bank-Official-Administrative-Boundaries","citation":"World Bank. (2024). World Bank Official Administrative Boundaries (Version 3). World Bank Data Catalog. https:\/\/datacatalog.worldbank.org\/search\/dataset\/0038272\/world-bank-official-boundaries","license_uri":"https:\/\/datacatalog.worldbank.org\/public-licenses?fragment=cc"}],"technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: Windows 11 Enterprise\n\u2022 Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz\n\u2022 Memory available: 32.0 GB","reproduction_instructions":"To reproduce the findings in this paper, a replicator must:\n1. **Run the Package:**\n  - Update the working directory of the do-file `SD paper tables.do`, and run it.\n2. **Reproduce Tableau figures:**\n  - Two figures use Tableau. To replicate them, open the Tableau package file and load the corresponding CSV data file. Further details are provided in the README."},"datacite":{"creators":[{"givenName":"Hai-Anh H.","familyName":"Dang","nameType":"Personal","affiliation":[{"name":"World Bank","affiliationIdentifier":"https:\/\/ror.org\/00ae7jd04","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Minh C.","familyName":"Nguyen,","nameType":"Personal","affiliation":[{"name":"World Bank","affiliationIdentifier":"https:\/\/ror.org\/00ae7jd04","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Ben James","familyName":"Brunckhorst","nameType":"Personal","affiliation":[{"name":"World Bank","affiliationIdentifier":"https:\/\/ror.org\/00ae7jd04","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Judy","familyName":"Yang","nameType":"Personal","affiliation":[{"name":"World Bank","affiliationIdentifier":"https:\/\/ror.org\/00ae7jd04","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]}],"titles":[{"lang":"en","title":"Reproducibility package for A New Global Subnational Poverty And Inequality Database Based On Harmonized Household Surveys"},{"title":"RR_WLD_2026_649","titleType":"Other"}],"publisher":"World Bank","publicationYear":"2026","types":{"resourceType":"Reproducibility package","resourceTypeGeneral":"Other"},"url":"https:\/\/reproducibility.worldbank.org\/index.php\/catalog\/study\/RR_WLD_2026_649","language":"en"},"tags":[{"tag":"DOI"},{"tag":"Open Code"},{"tag":"Open Data"}],"schematype":"script"}