Poverty map is very powerful tool of targeting mechanisms. It provides a detailed description of the spatial distribution of poverty and inequality within a country. It combines individual and household (micro) survey data and population (macro) census data with the objective of estimatinf welfare indicators for sprecific geographic area as small as village or hamlet.

Recent advances in geographic information systems (GIS), databases and computer aided software engineering make poverty mapping possible, where data can be presentd in the form of maps and overlaying interfaces for cross-comparisons. Spatial analysis and benchmarking are also applied to assess the relationships between the two sets of micro and macro data according to their geographic location.

Notes