Publication:
Poverty Mapping: Innovative Approaches to Creating Poverty Maps with New Data Sources

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dc.contributor.authorZiulu, Virginia
dc.contributor.authorMeckler, Jessica
dc.contributor.authorHernández Licona, Gonzalo
dc.contributor.authorVaessen, Jozef
dc.date.accessioned2022-08-09T21:06:56Z
dc.date.available2022-08-09T21:06:56Z
dc.date.issued2022-08
dc.description.abstractGeographically disaggregated poverty data are vital for better understanding development issues and ensuring development efforts are directed to the places where they are most needed. Poverty has traditionally been measured by data on consumption, income, or assets. However, recent advances in computing power and the emergence of new methods has made it increasingly feasible to produce reliable, cost-effective, and timely poverty maps by extracting features from novel data sources such as satellite imagery, call detail records, and internet connectivity indicators. This paper explores the methodological implications of using both traditional and novel data sources to generate poverty maps. Specifically, it examines the applications of (i) survey and census data; (ii) Global System for Mobile Communications, smartphone, and Wi-Fi indicators; (iii) call detail records; (iv) daytime and nighttime remote sensing imagery; and (v) the Survey of Well-being via Instant and Frequent Tracking for poverty mapping. Each section provides a brief overview of the data requirements, methodology, and applicability considerations of the data source under consideration. In addition, the paper discusses the usefulness and limitations of each approach in the field of evaluation, providing concrete examples of poverty maps created from each of the listed data sources.en
dc.identifierhttp://documents.worldbank.org/curated/en/099642308032231009/IDU0f5dcd5510b83804db908f300f184616538a5
dc.identifier.doi10.1596/174763
dc.identifier.urihttps://hdl.handle.net/10986/37859
dc.languageEnglish
dc.language.isoen
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesIEG Methods and Evaluation Capacity Development Working Paper;
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectPOVERTY INDICATORS
dc.subjectNEW DATA SOURCES
dc.subjectBIG DATA POVERTY MAP
dc.subjectWELL-BEING DATA TRACKING
dc.subjectNOVEL DATA SOURCES
dc.subjectSATELLITE IMAGERY
dc.subjectCONNECTIVITY DATA
dc.titlePoverty Mappingen
dc.title.subtitleInnovative Approaches to Creating Poverty Maps with New Data Sourcesen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.date.disclosure2022-08-09
okr.date.doiregistration2025-04-14T12:29:11.660386Z
okr.date.lastmodified2022-08-03T00:00:00Zen
okr.doctypeAnnual Reports & Independent Evaluations::IEG Independent Evaluations & Annual Reviews
okr.docurlhttp://documents.worldbank.org/curated/en/099642308032231009/IDU0f5dcd5510b83804db908f300f184616538a5
okr.guid099642308032231009
okr.identifier.doi10.1596/174763
okr.identifier.externaldocumentum33879479
okr.identifier.internaldocumentum33879479
okr.identifier.report174763
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099642308032231009/pdf/IDU0f5dcd5510b83804db908f300f184616538a5.pdfen
okr.topicPoverty Reduction::Small Area Estimation Poverty Mapping
okr.topicInformation and Communication Technologies::ICT Data and Statistics
okr.unitMethods Advisory Function (IEGMA)
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