Multi-Dimensional Poverty Index (Pakistan - Admin 3)

Multi-Dimensional Poverty Index is a new measure to compute acute poverty. The MPI complements consumption-based poverty measures by reflecting deprivations that individuals face in other dimensions such as education, health and standard of living. The MPI captures the severe deprivations that each person experiences with respect to education, health and standard of living. MPI is the product of two components: 1) Incidence of poverty (H): the percentage of people who are identified as multidimensionally poor, or the poverty headcount. 2) Intensity of poverty (A): the average percentage of dimensions in which poor people are deprived. In simple terms it means how intense, how bad the multidimensional poverty is, on average, for those who are poor. Based on the index values for the latest year (2014/15), the five districts with the highest MPI are Killa Abdullah, Harnai, Barkhan, Kohistan and Ziarat. Most of these districts also have the highest levels of the incidence (headcount) and intensity of poverty in all of Pakistan. On the other hand, the six districts with the lowest index value are Islamabad, Lahore, Karachi, Rawalpindi, Jhelum and Attock. These districts also have the lowest poverty headcounts in the country. Data Sources: Data is taken from the report on Multidimensional Poverty which has been developed in collaboration with the Oxford Poverty and Human Development Initiative (OPHI) and the United Nations Development Programme (UNDP), Pakistan. Data Accusation Method: The methodology used to determine Pakistan's MPI is adopted from Alkire and Santos' (2010, 2014) work on the global MPI, undertaken in collaboration with UNDP. Time Period: 2014/15 Definition of variables Multi-Dimensional Poverty Index is represented by "MPI_incide" field. Introduction about Data: This map allows to explore Multi-Dimensional Poverty Index at district level of Pakistan.