Global Distribution of Poverty

Table of Contents

Global Poverty Data Set

National-level Poverty Data Sets

• Indirect Estimation Techniques
  • Small Area Estimates Poverty & Inequality Data Set
  • Poverty and Food Security Country Case Studies
• Other Indirect Estimation Techniques
  • Combining Surveys with Remote Sensing Data
• Direct Estimation Techniques
  • Unsatisfied Basic Needs Data Set

National-Level Poverty Data Sets

Numerous methods have been used to construct estimates of poverty that are finely resolved. These methodologies utilize both indirect and direct estimation techniques. Poverty and welfare are generally measured through proxy variables, such as consumption bundles (e.g., estimates of expenditures and consumer goods) or basic needs (e.g., sanitation, water, housing, education). Data sets representing both approaches are available in our collection.

Comparing Poverty Mapping Methods

Which method of poverty mapping is best for your needs? For a comparison of poverty mapping methods, techniques and policy applications see the following papers:

Davis, B. 2003. "Choosing a method for poverty mapping." Agriculture and Economic Development Analysis Division, Food and Agriculture Organization of the United Nations, Rome. [Documents]

Henninger, N. 1998. “Mapping and Geographic Analysis of Poverty and Human Welfare – Review and Assessment.” Report prepared for the UNEP/CGIAR Initiative on GIS, World Resources Institute, Washington, DC. [Document]

Henninger, N. and M. Snel. 2002. "Where are the Poor?: Experiences with the Development and Use of Poverty Maps." World Resources Institute and UNEP/GRID Arendal, pp. 66. [Document]

The World Bank. 2004. “Mapping Poverty.” [Document]