What is SAE?
Small Area Estimation (SAE) is a series of methods to estimate indicators when critical data are not available at lower levels of geography (i.e., districts or states). Household surveys are considered the best source of information on the living standards of a country’s population nationally. However, the quality of these estimates often diminishes when we disaggregate them by local areas or population subgroups. SAE statistical tools and methods can be applied to cases where the number of area-specific sample observations is not large enough to produce reliable direct estimates. This section contains a list of the latest tools and methods employed by the world bank to produce SAE estimates.
SAE Methodology
Learn about the latest of the latest SAE tools and methodologies with the Guidelines to Small Area Estimation for Poverty Mapping. The guidelines are meant to help practitioners working on small area estimation navigate the multiple techniques available and make them aware of their strengths and limitations.
SAE Datasets
This section is a growing repository of World Bank poverty maps and data with a subnational and geospatial component
