Using spatial data to generate small area estimates of poverty and population: Initial lessons

David Locke Newhouse

Summary on “Big Survey” for population prediction •Population is a key input into socioeconomic statistics •Literature has conclusively demonstrated that remote sensing indicators predict population well •Using of small area estimation is growing but still nascent •Relisting performed by existing household surveys provides opportunity to generate more frequent updates •Next steps are to: •Show that population is changing quickly enough that new predictions are more accurate than older census data •See how much this matters for socioeconomic statistics like poverty

Event: Land Governance in an Interconnected World_Annual World Bank Conference on Land and Poverty_2018

Document type:Using spatial data to generate small area estimates of poverty and population: Initial lessons (2448 kB - pdf)