联合国：2019年全球多维贫困指数 (MPI)（英文版）（26页）.pdf

1、GLOBAL MULTIDIMENSIONAL POVERTY INDEX 2019 ILLUMINATING INEQUALITIES OPHI Oxford Poverty the size of the bubble reflects the number of multidimensionally poor people. The figure is based on 1,119 subnational regions in 83 countries plus national averages for 18 countries. Data are from surveys condu

2、cted between 2007 and 2018. Source: Alkire, Kanagaratnam and Suppa (2019) based on Human Development Report Office and Oxford Poverty and Human Development Initiative calculations. Illuminating Inequalities | 3 Across the 101 countries covered by the global MPI, 23.1percent of people are multidimens

3、ionally poor, but the incidence of multidimensional poverty varies across developing regions from 1.1percent in Europe and Central Asia to 57.5percent in Sub-Saharan Africa 94million multidimensionally poor people live in upper-middle-income countries, where the subnational incidence of multidi- men

4、sional poverty ranges from 0percent to 69.9percent. 792 million multidimensionally poor live in lower-middle-income countries, where the subnational incidence of multi- dimensional poverty ranges from 0percent to 86.7percent. 440million multidimensionally poor people live in low-income countries, wh

5、ere the sub- national incidence of multidimensional pov- erty ranges from 0.2percent to 99.4percent. This shows that the challenge of reducing multi dimensional poverty is not confined to low-income countries. Inequality between and within countries The global MPI highlights inequalities at the glob

6、al, regional, national, subnational and even household level. Each layer of analysis yields a new understanding of inequality and provides a far richer picture than the $1.90 a day poverty rate. Two examples illustrate how subnational disaggregations shine a light on inequality. Where multidimension