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 poverty, based on the profile of overlapping deprivations each poor person experiences.
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. Of these, 54% of the population, 544 million people, are multidimensionally poor.
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 indicators with data available from Bhutan Multiple Indicator Survey 2010 and qualitative in-depth interviews with children, giving a holistic
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 overlapping deprivations poor people experience at once, then building up from this information.
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 level, by directly measuring the overlapping deprivations poor people experience simultaneously.
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 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 Human Development Report in 2010.
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 to the Millennium Development Goals and to core functionings.
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, however, has multiple dimensions, hence this paper explores the improvement in other social deprivations.
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 implications and precise justification are not yet clear. This paper empirically examines the Socio-Economic Caste Census methodology and compares it empirically with alternative proposals to show the choice of a particular methodology matters.
