thinkingmachines/unicef-ai4d-poverty-mapping
UNICEF AI4D Relative Wealth Mapping Project - datasets, models, and scripts for building relative wealth estimation models across Southeast Asia (SEA)
This project helps development organizations and researchers create detailed maps of relative wealth across Southeast Asian countries. It takes publicly available satellite imagery (like nightlights data) and household survey data as input to produce estimates of wealth distribution. The primary users are data scientists, social scientists, or policy analysts working on poverty reduction and development initiatives.
Use this if you need to generate or replicate relative wealth estimates for countries in Southeast Asia, particularly for understanding poverty distribution and targeting interventions.
Not ideal if you lack access to the necessary household survey data (DHS program data) or if your focus is outside Southeast Asia.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Feb 24, 2026
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