Global Multidimensional Poverty Index 2017
The 2017 global Multidimensional Poverty Index (MPI) provides a headline estimation of poverty and its composition for 103 countries across the world. The global MPI measures the nature and intensity of
The 2017 global Multidimensional Poverty Index (MPI) provides a headline estimation of poverty and its composition for 103 countries across the world. The global MPI measures the nature and intensity of
Drawing on rich datasets from national household surveys (DHS and MICS), the 2016 global Multidimensional Poverty Index (MPI) covers 46 countries in Africa, which are home to just over 1 billion people.
This Monograph “Insights from Multidimensional Child Poverty Index (C-MPI) and Qualitative interviews with Poor Children” is a combination of multidimensional poverty index constructed from child related
The Global Multidimensional Poverty Index (MPI) is an index of acute multidimensional poverty that covers over 100 developing countries. It assesses the nature and intensity of poverty, by directly measuring
The Global Multidimensional Poverty Index (MPI) is an index of acute multidimensional poverty that covers over 100 developing countries. It assesses the nature and intensity of poverty at the individual
This paper analyses changes in multidimensional poverty over time for over thirty countries and 338 subnational regions, for which have comparable data across at least two periods of time. The paper first
India has witnessed high economic growth since the 1980s, and a reduction in the share of income poor, though the measured extent of this reduction varies, has been confirmed by different methods. Poverty,
This paper presents the Multidimensional Poverty Index (MPI), a measure of acute poverty, understood as a person’s inability to meet simultaneously minimum international standards in indicators related
The Multidimensional Poverty Index or MPI is an international poverty measure developed by the Oxford Poverty and Human Development Initiative (OPHI) for the United Nations Development Programme’s flagship
Exercises to identify households living below the poverty line have taken place three times, and a fourth one is under way. Though the latest method aims to improve upon previous methods, its empirical