The Global Multidimensional Poverty Index (MPI) Interactive Databank enables you to see at a glance results of OPHI's 2016 analysis of acute poverty in 102 developing countries around the world. Select ‘Graph’ (below right) to see how these countries and their sub-national regions rank for multidimensional poverty and destitution.
Click on a country in the map below to see how its MPI compares with other indicators, or select a country from the drop-down menu to load interactive graphs that enable you to zoom in and see where and how people are poor and destitute; subnational data is available for 78 countries, and time-series data for 50.
Global MPI data are freely available and we welcome their use; please cite as Oxford Poverty and Human Development Initiative (2016) Global Multidimensional Poverty Index Databank. OPHI, University of Oxford
The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by OPHI or the University of Oxford. This map is intended for illustrative purposes only.
Complementary data are taken from the closest available year to the year of the survey used to calculate the MPI. Income poverty is only shown where the data available are taken from a survey fielded within three years of the MPI survey year.
A person is identified as multidimensionally poor (or 'MPI poor') if they are deprived in at least one third of the weighted MPI indicators.
The proportion of the population that is multidimensionally poor is the incidence of poverty, or headcount ratio (H). The average proportion of indicators in which poor people are deprived is described as the intensity of their poverty (A). The MPI is calculated by multiplying the incidence of poverty by the average intensity of poverty across the poor (MPI = H x A).
If a person is deprived in 20-33.3% of the weighted indicators they are considered 'Vulnerable to Poverty', and if they are deprived in more than 50% they are identified as being in 'Severe Poverty'. The destitute are deprived in at least one-third of the same weighted indicators, but according to more extreme criteria than those used to identify the MPI poor, while the level of inequality among the poor is calculated using a separate, decomposable inequality measure.
|Survey||Year||Multidimensional Poverty Index (MPI = HxA)||Percentage of Poor People (H)
(k = 33.3%)
|Average Intensity Across the Poor (A)||Percentage of Population:||Inequality Among the MPI Poor|
The Global MPI uses 10 indicators to measure poverty in three dimensions: education, health and living standards. This bar chart reports the proportion of the population that is poor and deprived in each indicator in the country selected. (The deprivation of non-poor people is not included.)
You can see the incidence of censored deprivation in each indicator at the national level, or compare the incidence in urban and rural areas by selecting 'Urban/Rural'. (See the table below for the urban/rural population breakdown.)
Where subnational data are available, you can also compare the percentage contribution of each indicator to overall poverty across regions.
Poverty Index (MPI)
|=||Percentage of Poor
Across the Poor (A)
A person who is deprived in 90% of the weighted MPI indicators has a greater intensity of deprivation, or poverty, than someone who is deprived in 40% of the indicators. The graphs below show the percentage of MPI poor people who are experiencing different intensities of deprivation, at the national level or in urban/rural areas. (See table above for the urban/rural population breakdown.)
In both graphs, people who are deprived in 50% or more of the indicators are identified as in 'Severe Poverty'.
For 50 countries, we have comparable data from more than one time period, enabling us to analyse how multidimensional poverty has changed over time.
Using the animated graph below, you can select one or more countries and see how overall MPI in those countries changed between the different time periods. You can also choose to see how an MPI indicator has changed in those countries, and compare multidimensional poverty with complementary data including income poverty, inequality and the Human Development Index.
Please note that in some cases the MPI reported here does not coincide with the global MPI. The global MPI is estimated using the maximum information available for each year. However, In countries where changes in the survey design affected comparability across time, MPI parameters have been strictly standardised.