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

Publication | March 2021
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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.

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Price
  • US$29.00 (paperback)

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.

Contents

  • 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

Additional Details

Type
Subjects
  • Economics
  • Information and Communications Technology
  • Poverty
  • Sustainable Development Goals
Countries
  • Philippines
Pages
  • 70
Dimensions
  • 8.5 x 11
SKU
  • TCS210076-2
ISBN
  • 978-92-9262-131-5 (print)
  • 978-92-9262-132-2 (electronic)
  • 978-92-9262-133-9 (ebook)

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