Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines

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.

  • Background
  • How are Poverty Statistics Estimated?
  • Tapping Computer Vision Algorithms for Predicting Poverty Rates
  • Using Random Forest Estimation to Compile Grid-Level Estimates of Poverty Head Counts
  • Key Findings
  • Summary and Conclusion

This page was generated from /publications/mapping-poverty-satellite-imagery-philippines on 07 July 2024

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