Publication:
Poverty Mapping in El Salvador

dc.contributor.author Robayo-Abril, Monica
dc.contributor.author Rude, Britta
dc.date.accessioned 2023-02-14T20:07:55Z
dc.date.accessioned 2023-03-06T15:57:45Z
dc.date.available 2023-02-14T20:07:55Z
dc.date.available 2023-03-06T15:57:45Z
dc.date.issued 2023-02
dc.description.abstract Poverty mapping, the spatial representation and analysis of human wellbeing and poverty indicators is becoming an increasingly important instrument for investigating and discussing socioeconomic issues, informing targeting efforts, and guiding the geographic allocation of resources. One approach to addressing poverty is the geographic approach. In the geographic approach, poor people are identified and targeted through poverty maps. Indeed, the geographical approach is one of the methods used worldwide for targeting anti-poverty programs to reduce the gaps in social protection coverage of poor and vulnerable groups, and it has been widely implemented in several countries around the world. In 2020, the Salvador's General Directorate of Statistics and Censuses (DIGESTYC) and the World Bank started working on the project ‘Poverty mapping in El Salvador‘. The project is part of the government and International Bank for Reconstruction and Development (IBRD) Programme, which is performed by experts of the National Statistical Institute (NSI) and the World Bank (WB). The main objective is to calculate the shares of households living in moderate and extreme poverty at disaggregated territorial levels (municipalities). Poverty mapping enhances our understanding of the geographic distribution of people living in poverty. This report presents poverty maps at the municipality level based on the Fay-Herriot model for small-area estimations. en
dc.identifier http://documents.worldbank.org/curated/en/099447302022329651/IDU06466952d03db90416e09a3c0d3ba51402688
dc.identifier.uri http://hdl.handle.net/10986/39424
dc.language English
dc.language.iso en_US
dc.publisher World Bank, Washington, DC
dc.rights CC BY 3.0 IGO
dc.rights.holder World Bank
dc.rights.uri http://creativecommons.org/licenses/by/3.0/igo
dc.subject POVERTY MAPPING
dc.subject SPATIAL REPRESENTATION
dc.subject GEOGRAPHIC APPROACH
dc.subject FAY-HERRIOT MODEL
dc.subject MUNICIPALITY LEVEL
dc.title Poverty Mapping in El Salvador en
dc.type Report en
dc.type Rapport fr
dc.type Informe es
dspace.entity.type Publication
okr.date.disclosure 2023-02-02
okr.date.lastmodified 2023-02-02T00:00:00Z en
okr.doctype Economic & Sector Work
okr.doctype Economic & Sector Work :: Other Poverty Study
okr.docurl http://documents.worldbank.org/curated/en/099447302022329651/IDU06466952d03db90416e09a3c0d3ba51402688
okr.guid 099447302022329651
okr.identifier.externaldocumentum IDU-6466952d-3db9-416e-9a3c-d3ba51402688
okr.identifier.internaldocumentum 33993776
okr.identifier.report 179856
okr.imported true en
okr.language.supported en
okr.pdfurl http://documents.worldbank.org/curated/en/099447302022329651/pdf/IDU06466952d03db90416e09a3c0d3ba51402688.pdf en
okr.region.administrative Latin America & Caribbean
okr.region.country El Salvador
okr.topic Poverty Reduction :: Poverty Monitoring & Analysis
okr.topic Poverty Reduction :: Small Area Estimation Poverty Mapping
okr.unit Central America Countries CMU (LCC2C)
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