Global MPI Databank

Browse through our databank to view the global MPI 2023 data in different ways and use it in briefings, teaching or presentations. This web application allows the user to explore the GMPI data through interactive graphics. Users can see the spatial spread of multidimensional poverty, its intensity and headcount. The application presents comparisons at global and country and subnational level. 

Click here, or on the map, to enter the Global MPI Databank

gMPI_databank_map_2023

It would be greatly appreciated if users could acknowledge the source.
Source: Global Multidimensional Poverty Index (MPI) Databank 2023 developed by Ayush Patel using data by Alkire, Kanagaratnam and Suppa (2023a and 2023b).

Please reference the following publications:
Alkire, S., Kanagaratnam, U., and Suppa, N. (2023a). ‘The global Multidimensional Poverty Index (MPI) 2023 country results and methodological note’, OPHI MPI Methodological Note 55, Oxford Poverty and Human Development Initiative (OPHI), University of Oxford.

Alkire, S., Kanagaratnam, U., and Suppa, N. (2023b). ‘The global Multidimensional Poverty Index (MPI) 2023 disaggregation results and methodological note’, OPHI MPI Methodological Note 56, Oxford Poverty and Human Development Initiative (OPHI), University of Oxford.

The Global Multidimensional Poverty Index (MPI) Databank 2023 is hosted on the Interactive Data Network (IDN), University of Oxford shinyapps.io account.