Publication:
Poverty Mapping in El Salvador

Simple item page
dc.contributor.authorRobayo-Abril, Monica
dc.contributor.authorRude, Britta
dc.date.accessioned2023-02-14T20:07:55Z
dc.date.accessioned2023-03-06T15:57:45Z
dc.date.available2023-02-14T20:07:55Z
dc.date.available2023-03-06T15:57:45Z
dc.date.issued2023-02
dc.description.abstractPoverty 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.identifierhttp://documents.worldbank.org/curated/en/099447302022329651/IDU06466952d03db90416e09a3c0d3ba51402688
dc.identifier.doihttps://doi.org/10.1596/39424
dc.identifier.urihttps://hdl.handle.net/10986/39424
dc.languageEnglish
dc.language.isoen_US
dc.publisherWorld Bank, Washington, DC
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectPOVERTY MAPPING
dc.subjectSPATIAL REPRESENTATION
dc.subjectGEOGRAPHIC APPROACH
dc.subjectFAY-HERRIOT MODEL
dc.subjectMUNICIPALITY LEVEL
dc.titlePoverty Mapping in El Salvadoren
dc.typeReporten
dc.typeRapportfr
dc.typeInformees
dspace.entity.typePublication
okr.crossref.titlePoverty Mapping in El Salvador
okr.date.disclosure2023-02-02
okr.date.doiregistration2025-05-07T10:37:31.717965Z
okr.date.lastmodified2023-02-02T00:00:00Zen
okr.doctypeEconomic & Sector Work
okr.doctypeEconomic & Sector Work::Other Poverty Study
okr.docurlhttp://documents.worldbank.org/curated/en/099447302022329651/IDU06466952d03db90416e09a3c0d3ba51402688
okr.guid099447302022329651
okr.identifier.externaldocumentumIDU-6466952d-3db9-416e-9a3c-d3ba51402688
okr.identifier.internaldocumentum33993776
okr.identifier.report179856
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099447302022329651/pdf/IDU06466952d03db90416e09a3c0d3ba51402688.pdfen
okr.region.administrativeLatin America & Caribbean
okr.region.countryEl Salvador
okr.topicPoverty Reduction::Poverty Monitoring & Analysis
okr.topicPoverty Reduction::Small Area Estimation Poverty Mapping
okr.unitCentral America Countries CMU (LCC2C)
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
IDU06466952d03db90416e09a3c0d3ba51402688.pdf
Size:
3.47 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
IDU06466952d03db90416e09a3c0d3ba51402688.txt
Size:
155.44 KB
Format:
Plain Text
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Plain Text
Description:
Download
Collections
Other Poverty Study