Geographically 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...
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INFORMATION
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2022/08/09
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Document de travail (série numérotée)
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174763
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1
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2022/08/09
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Disclosed
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Poverty Mapping : Innovative Approaches to Creating Poverty Maps with New Data Sources