What are the policy implications?
The MPI methodology shows aspects in which multidimensionally poor people are deprived and helps revealing inter-connections among those deprivations. This enables policymakers to target resources and design policies more effectively. This is especially useful where the MPI reveals areas or groups characterized by severe deprivations.
The multidimensional poverty approach can be adapted using indicators and weights that are more relevant to national context at the country level to create tailored national poverty measures. The MPI can be useful as a guide to help governments tailor a poverty measure that reflects local indicators and data. In 2009, Mexico became the first country to adopt a measure of multidimensional poverty as an official national statistic.
The MPI methodology can be, and often is, modified to generate national measures of Multidimensional Poverty that reflect local, cultural, economic, climatic and other factors. Such national measures of Multidimensional Poverty may directly serve the purpose of monitoring SDG Indicator 1.2.2 (proportion of men, women and children of all ages living in poverty in all its dimensions according to national definitions). The MPI was devised as an analytical tool to measure and monitor acute multidimensional poverty across nations.