aiddata/accessible-poverty-estimates
Exploring accessible methods and data to estimate poverty
This project helps international development organizations and researchers estimate poverty levels in developing countries by leveraging geospatial data and machine learning. You input household survey data, like from DHS, alongside open-source geospatial datasets such as nighttime lights and OpenStreetMap features. The output is a model that predicts household wealth or poverty, along with detailed results and analyses. This tool is designed for analysts, researchers, or policymakers working on development, poverty alleviation, or humanitarian aid.
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Use this if you need to create or evaluate detailed, geographically specific estimates of poverty or wealth using publicly available data sources without conducting new field surveys.
Not ideal if you require real-time poverty monitoring or if your primary focus is on economic forecasting rather than spatial estimation of current conditions.
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Apr 22, 2025
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