<p>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.</p><p><br></p><p>The leave no one behind principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country's 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.</p>
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