Poverty Mapping in Uganda Using Socio-economic, Environmental and Satellite Data
This PPLPI feature document describes the ways in which the mapped distribution of poverty in Uganda can be predicted. Environmental and satellite data appear to be at least as good as census and survey data and describing the spatial distribution of poverty, but are dependent on scale; 20km and above gives satisfactory results with environmental data. The environmental approach is preferable to the traditional survey and census method and so leads more easily to appropriate interventions; the environmental data by its nature carries information that can help to target the cause of poverty, e.g. soil fertility.
For further information consult PPLPI Working Paper No. 36.
PPLPI, FAO, Rome, Italy, 5 pp.