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Global Multidimensional Poverty Index

The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering over 100 developing countries. It complements traditional income-based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards.

Data Resources (2)

Data Resource Preview - Methodological Note – MPI Winter 2017-2018

Additional Info

Field Value
Dataset topic category
  • Poverty reduction
  • SDG1 No Poverty
  • Sustainable Development Goals
  • English
Use limitations Global MPI data are freely available and we welcome their use; please cite as Oxford Poverty and Human Development Initiative (2017) Global Multidimensional Poverty Index Databank. OPHI, University of Oxford.
Dataset reference date January 1, 2017
  • Cambodia
  • Lao People's Democratic Republic
  • Myanmar
  • Thailand
  • Viet Nam
Positional Accuracy This Databank presents the results of the Global Multidimensional Poverty Index (MPI) and explains key findings graphically. For an explanation of the MPI, along with more information, international comparisons and details of the resources available.
Logical Consistency
Process Step The Multidimensional Poverty Index (MPI) 2017-18 uses the same parameters (dimensions, indicators, cutoffs, and weights) and the same functional form (Alkire and Foster Adjusted Headcount Ratio M0) as in previous years. This brief methodological note presents the 2017-18 MPI updates and releases tables with the full results in these categories: national MPI, destitution and vulnerability, disaggregation for rural, urban, subnational regions, and complete estimations, as well as complementary data, dimensional breakdowns, and confidence intervals. Destitution data are available for all 104 countries. This brief methodological note first explains the main updates in the 2017-18 MPI, following the guidelines for updates presented in the 2014 Methodological Note (Alkire, Conconi and Seth 2014b). It then summarises the MPI methodology that has been presented in detail in other documents (Alkire and Santos 2010; Alkire, Roche, Santos and Seth 2011). This note then briefly describes the methodological assumptions for the estimation of each updated country dataset. The results of these estimations are presented in Tables 1-5 and 7, 104 country briefings and the interactive databank, all available on OPHI’s website (
Lineage Oxford Poverty & Human Development Initiative (OPHI) - Oxford Department of International Development
Responsible party Oxford Poverty & Human Development Initiative (OPHI) Oxford Department of International Development Queen Elizabeth House (QEH), University of Oxford, Mansfield Road, Oxford OX1 3TB, UK
License unspecified
Copyright No
Version 2017-2018
Keywords poverty index
Date uploaded March 1, 2018, 01:55 (UTC)
Date modified March 1, 2018, 02:00 (UTC)