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Area of Science:

  • Socioeconomic studies
  • Global health
  • Development economics

Background:

  • Poverty measurement requires comprehensive indicators beyond income.
  • The Multidimensional Poverty Index (MPI) addresses this by considering deprivations in health, education, and living standards.
  • Harmonized data is crucial for tracking poverty dynamics and comparisons.

Purpose of the Study:

  • To introduce and describe the global Multidimensional Poverty Index (MPI) database.
  • To provide harmonized estimates of MPI and related statistics for countries and subnational regions.
  • To enable analysis of poverty changes over time.

Main Methods:

  • Development of a harmonized global MPI based on ten deprivation indicators.
  • Utilizing data from 211 survey datasets (DHS, MICS) for 84 countries.
  • Calculation of MPI (adjusted headcount ratio), partial indices, and auxiliary statistics.

Main Results:

  • The database includes MPI estimates and changes over time for 84 countries and 814 subnational regions.
  • Harmonized deprivation indicators ensure comparability across different observation points.
  • The dataset facilitates interdisciplinary research on human wellbeing.

Conclusions:

  • The global MPI database offers a robust tool for understanding and monitoring multidimensional poverty worldwide.
  • Harmonization of indicators is key to accurate temporal and spatial poverty analysis.
  • The database supports evidence-based policymaking and interdisciplinary research on poverty reduction.