Accessible Poverty Estimates

We utilize random forests regressions and features derived from a range of geospatial datasets (nighttime lights, landcover, OpenStreetMap features, and more) to produce estimates of development indicators such as household wealth/poverty.

equitable-ai geospatial-data machine-learning poverty-estimates

Sustainable Development - Population and Poverty - Last synced: 27 Apr 2025 - Ranking: 3.7