Global Multidimensional Poverty Index
What is the global MPI?
The global Multidimensional Poverty Index (MPI) is an international measure of acute multidimensional poverty covering over 100 developing countries. It complements traditional monetary-based poverty measures by capturing the acute deprivations that each person faces at the same time with respect to education, health and living standards.
The MPI assesses poverty at the individual level. If someone is deprived in a third or more of ten (weighted) indicators, the global index identifies them as ‘MPI poor’, and the extent – or intensity – of their poverty is measured by the percentage of deprivations they are experiencing.
The global MPI can be used to create a comprehensive picture of people living in poverty, and permits comparisons both across countries and world regions, and within countries by ethnic group, urban/rural area, subnational region, and age group, as well as other key household and community characteristics. For each group and for countries as a whole, the composition of MPI by each of the 10 indicators shows how people are poor.
This makes the MPI and its linked information platform invaluable as an analytical tool to identify the most vulnerable people – the poorest among the poor, revealing poverty patterns within countries and over time, enabling policy makers to target resources and design policies more effectively.
The global MPI was developed by OPHI with the UN Development Programme (UNDP) for inclusion in UNDP’s flagship Human Development Report in 2010. It has been published in the HDR and by OPHI ever since.
Find out more
- Background to the global MPI: How the global MPI was first developed for UNDP’s Human Development Report in 2010
- Global MPI FAQ: Everything you need to know about the global MPI
- National and regional MPIs: Find out how countries are implementing and using their own official national MPI measures
- Why multidimensional poverty measures? Conceptual arguments, public debates and challenges
- The Alkire-Foster method: Find out about the counting approach used to construct the MPI