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Report . 2023
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Poverty Mapping in El Salvador

Authors: Robayo-Abril, Monica; Rude, Britta;

Poverty Mapping in El Salvador

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.

Country
United States
Related Organizations
Keywords

360, 330, POVERTY MAPPING, GEOGRAPHIC APPROACH, MUNICIPALITY LEVEL, FAY-HERRIOT MODEL, SPATIAL REPRESENTATION

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green