Generating disaggregated poverty maps: an application to Viet Nam

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dc.creatorMinot, Nicholas
dc.date1998
dc.date2024-11-21T09:54:18Z
dc.date2024-11-21T09:54:18Z
dc.date.accessioned2026-06-27T15:07:44Z
dc.descriptionGeographic targeting is often recommended as a way to improve the impact of social spending and infrastructure investments on rural poverty. Previous research shows that such targeting is not very accurate unless the geographic units are small. Household surveys, however, rarely allow the estimation of poverty rates for more than 5-10 regions in a country. This study develops a method for generating disaggregated poverty maps and applies the method to Viet Nam. First, the relationship between rural poverty and 25 household indicators is estimated using household survey data. Then, census data on those same indicators are used to estimate the poverty rates for each of the 543 rural districts in Viet Nam. The results indicate that poverty is concentrated in the north and in districts furthest from the coast and cities.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/161229
dc.identifier.urihttp://hdl.handle.net/123456789/95393
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.rightsOpen Access
dc.sourceMinot, Nicholas. 1998. Generating disaggregated poverty maps;an application to Viet Nam. MTID Discussion Paper 25. https://hdl.handle.net/10568/161229
dc.subjectpoverty
dc.subjectinfrastructure
dc.subjectsocial services
dc.titleGenerating disaggregated poverty maps: an application to Viet Nam
dc.typeWorking Paper

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)