Where Are the Poor?: Experiences With the Development and Use of Poverty Maps

Abstract

Finding ways to reduce poverty and inequity is a daunting challenge for local national and international decision-makers One important aspect of this challenge is the spatial heterogeneity of poverty: poor people tend to be clustered in specific places. Aggregated national-level poverty data mask this subnational variation. For example the figure below presents maps of poverty data from Ecuador at increasing levels of resolution from national to regional provincial and municipal These maps show that even the lowest-poverty region of the country (with a poverty rate of 30-45%) contains provinces with considerably greater incidence of poverty (45-60%) as well as municipalities with extremely high poverty rates (60-75%). (excerpt)

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