Our Insights blog goes deeper into hot topics and critical world issues. Looking for more? Learn about how we integrate data and expert visualization services with our intelligent tools, custom situation rooms, and enterprise data portals.
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. The MPI assesses poverty at the individual level. If someone is deprived in a third or more of ten (weighted) indicators (see left), the global index identifies them as ‘MPI poor’, and the extent – or intensity – of their poverty is measured by the number of deprivations they are experiencing. The MPI can be used to create a comprehensive picture of people living in poverty, and permits comparisons both across countries, regions and the world and within countries by ethnic group, urban/rural location, as well as other key household and community characteristics. This makes it 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 ever since.
Historical versions of this dataset since 01 June 2014 are available.
The information about original data source is available only to Professional users.
Are you sure you want to send the dataset for verification?
Knoema is the most comprehensive source of global decision-making data in the world. Our tools allow individuals and organizations to discover, visualize, model, and present their data and the world’s data to facilitate better decisions and better outcomes.