2019全球多维贫困指数发布【转】
Key findings
Across 101 countries, 1.3 billion people—23.1 percent—are multidimensionally poor.
Two-thirds of multidimensionally poor people live in middle-income countries.
There is massive variation in multidimensional poverty within countries. For example, Uganda’s national multidimensional poverty rate (55.1 percent) is similar to the Sub-Saharan Africa average (57.5 percent), but the incidence of multidimensional poverty in Uganda’s provinces ranges from 6.0 percent to 96.3 percent, a range similar to that of national multidimensional poverty rates in Sub-Saharan Africa (6.3–91.9 percent).
Half of the 1.3 billion multidimensionally poor people are children under age 18. A third are children under age 10.
This year’s spotlight on child poverty in South Asia reveals considerable diversity. While 10.7 percent of South Asian girls are out of school and live in a multidimensionally poor household, that average hides variation: in Afghanistan 44.0 percent do.
In South Asia 22.7 percent of children under age 5 experience intrahousehold inequality in deprivation in nutrition (where at least one child in the household is malnourished and at least one child in the household is not). In Pakistan over a third of children under age 5 experience such intrahousehold inequality.
Of 10 selected countries for which changes over time were analysed, India and Cambodia reduced their MPI values the fastest—and they did not leave the poorest groups behind.
There is wide variation across countries in inequality among multidimensionally poor people—that is, in the intensity of poverty experienced by each poor person. For example, Egypt and Paraguay have similar MPI values, but inequality among multidimensionally poor people is considerably higher in Paraguay.
There is little or no association between economic inequality (measured using the Gini coefficient) and the MPI value.
In the 10 selected countries for which changes over time were analysed, deprivations declined faster among the poorest 40 percent of the population than among the total population.
报告全文下载地址:
http://hdr.undp.org/sites/default/files/mpi_2019_publication.pdf
或点击“阅读原文”
中国数据和解释链接:
http://hdr.undp.org/en/countries/profiles/CHN
http://hdr.undp.org/en/content/national-human-development-report-2016-china
部分地区的Stata do files:
http://hdr.undp.org/en/content/mpi-statistical-programmes
更多内容请访问:
http://hdr.undp.org/en/2019-MPI
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