Global MPI 2017: Key findings

This page highlights findings from the Global Multidimensional Poverty Index (MPI) and provides a range of resources. The Global MPI was updated in June 2017 and now covers 103 countries in total, which are home to 76 per cent of the world’s population, or 5.4 billion people. Of this proportion, 26.5 per cent of people (1.45 billion) are identified as multidimensionally poor.

Key findings

In June 2017, our analysis of global multidimensional poverty spans a number of topics, such as destitution, regional and sub-national variations in poverty, the composition of poverty.

Key findings include:

  • A total of 1.45 billion people from 103 countries are multidimensionally poor (considering 2013 population data); 26.5% of the people living in these countries.
  • 48% of the poor people live in South Asia, and 36% in Sub-Saharan Africa.
  • Most MPI poor people – 72% – live in middle income countries.
  • Half of the multidimensionally poor (48%) are children aged 0-17.
  • Nearly half of all MPI poor people are destitute – 706 million – so experience extreme deprivations like severe malnutrition in at least one-third of the dimensions.
  • In Uganda, 22% of people live in a household where at least one person experiences a severe disability. Poverty in these households is higher: 77% of people are poor vs 69% in other households.
  • The MPI and its indicators are disaggregated by 988 subnational regions in 78 countries. The poorest regions are in Chad, Burkina Faso, Niger, Ethiopia, South Sudan, Nigeria, Uganda, and Afghanistan. Inside Afghanistan poverty rates vary from 25% in Kabul to 95% in Urozgan.


Policy briefings

Download briefing papers on:

Regional Highlights

Briefing papers highlighting key findings are available for the following regions:

Data tables

Global MPI Data Tables for 2017

Brief methodological note on the Summer 2017 updates (pdf).

Table Contents Download
Tables 1.1-2.3 Main MPI results, headcount ratio by dimensions, contribution of deprivations and other measures of poverty and wellbeing at the national level (103 countries)  Tables 1.1-2.3 excel
Tables 3.1-4.3 Multidimensional poverty, headcount ratio by dimension and contribution of deprivations in rural and urban areas (102 countries)  Tables 1.1-2.3 excel
Tables 5.1-5.4 Multidimensional poverty, headcount ratio by dimension and contribution of deprivations at the sub-national level (988 regions of 78 countries)  Tables 1.1-2.3 excel
Tables 6.1-6.6 Changes to MPI poverty over time, including annualised changes in headcount ratio and intensity, changes in each indicator at the national level and changes in destitution where available (50 countries) Tables 1.1-2.3 excel
Table 7 The table presents an archive of all MPI estimations published since 2010. These are not harmonized for comparisons over time (for harmonized estimations see Table 6). Table 7 covers 256 estimations for 120 countries in 2017.  Tables 1.1-2.3 excel
Table 8 Multidimensional poverty, headcount ratio by dimensions and contribution of deprivations for different age groups at the national level (103 countries)  Tables 1.1-2.3 excel

Citations

Please cite data tables 1.1 – 8 as: Citation: Alkire, S. and Robles, G. (2017). “Multidimensional Poverty Index Summer 2017: Brief methodological note and results.” OPHI Methodological Note 44, University of Oxford.

Please note Table 7 also draws upon the following papers from previous years:

Multidimensional Poverty Index – Summer 2016: Brief Methodological Note and Results

Multidimensional Poverty Index – Summer 2015: Brief Methodological Note and Results
Multidimensional Poverty Index 2014: Brief Methodological Note and Results
Multidimensional Poverty Index 2013: Brief Methodological Note and Results
Multidimensional Poverty Index 2011: Brief Methodological Note
Alkire, S. and Santos, M. E. (2010). “Acute multidimensional poverty: A new index for developing countries.” OPHI Working Papers 38, University of Oxford.

Further resources

Further information can be found in our country-specific briefingsinteractive databank and Global MPI data tables.