This year’s MPI results show that more than two-thirds of the multidimensionally poor—886 million people—live in middle-income countries. A further 440 million live in low-income countries. In both groups, data show, simple national averages can hide enormous inequality in patterns of poverty within countries. For instance, in Uganda 55 percent of the population experience multidimensional poverty—similar to the average in Sub-Saharan Africa. But Kampala, the capital city, has an MPI rate of six percent, while in the Karamoja region, the MPI soars to 96 percent—meaning that parts of Uganda span the extremes of Sub-Saharan Africa.

There is even inequality under the same roof. In South Asia, for example, almost a quarter of children under five live in households where at least one child in the household is malnourished but at least one child is not.

“We need—even amongst those living in poverty—to understand people’s different experiences of deprivation. Are they malnourished? Can they go to school? Only then will poverty reduction policies be both efficient and effective,“ says Pedro Conceição, Director of the Human Development Report Office at UNDP.

There is also inequality among the poor. Findings of the 2019 global MPI paint a detailed picture of the many differences in how – and how deeply – people experience poverty. Deprivations among the poor vary enormously: in general, higher MPI values go hand in hand with greater variation in the intensity of poverty.

Results also show that children suffer poverty more intensely than adults and are more likely to be deprived in all 10 of the MPI indicators, lacking essentials such as clean water, sanitation, adequate nutrition or primary education.

Even more staggering, worldwide, one in three children is multidimensionally poor, compared to one in six adults. That means that nearly half of the people living in multidimensional poverty—663 million— are children, with the youngest children bearing the greatest burden. But new data also shows a positive trend: those furthest behind are moving up the fastest. “We looked at data for a group of ten middle- and low-income countries and we found encouraging news that the bottom 40 percent were moving faster than the rest,” says Sabina Alkire, OPHI Director. “A pro-poor pattern that reduces inequalities in several Sustainable Development Goals.”

Within these ten countries, data show that 270 million people moved out of multidimensional poverty from one survey to the next. This progress was largely driven by South Asia: in India there were 271 million fewer people in poverty in 2016 than in 2006, while in Bangladesh the number dropped by 19 million between 2004 and 2014. In other countries there was less—or no—absolute reduction, with numbers of multidimensionally poor rising by 28 million across the three African countries considered. In part this was because of rapid population growth, which outstripped reductions in poverty. In fact, poverty rates (as a percentage of the population) declined in most of the countries.

The 2019 global MPI paints a detailed picture of poverty for 101 countries and 1,119 subnational regions covering 76 percent of the global population, going beyond simple income-based measures to look at how people experience poverty every day.

Access full data: http://hdr.undp.org/en/2019-MPI and https://ophi.org.uk/global-mpi-2019/ 

Multidimensional Poverty Index 2019: Illuminating Inequalities

Table 1: Multidimensional Poverty Index Developing Countries

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.

Source: UNDP/OPHI.