This report presents the results of a feasibility study on
generating high-quality poverty statistics in the Philippines using
satellite imagery, geospatial data, and powerful machine-learning
algorithms. The Oleave no one behindO principle of the 2030 Agenda
for Sustainable Development requires appropriate indicators for
different segments of a countryOs population. Conducted by ADB in
collaboration with the Philippine Statistics Authority and the
World Data Lab, the study aimed to enhance the granularity,
cost-effectiveness, and compilation of high-quality poverty
statistics in the Philippines.
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