The Multidimensional Poverty Index (MPI) was developed in 2010 by Oxford Poverty & Human Development Initiative and the United Nations Development Programme.[1]
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The MPI was created for the 20th Anniversary edition of the UNDP Human Development Report and uses different factors to determine poverty beyond income-based lists. It uses a range of deprivations that afflict an individual's life. "The measure assesses the nature and intensity of poverty at the individual level in education, health outcomes, and standard of living."[2]
The MPI is an index of acute multidimensional poverty. It reflects deprivations in very rudimentary services and core human functioning for people across 104 countries. Although deeply constrained by data limitations, MPI reveals a different pattern of poverty than income poverty, as it illuminates a different set of deprivations. The MPI has three dimensions: health, education, and standard of living. These are measured using ten indicators. Poor households are identified and an aggregate measure constructed using the methodology proposed by Alkire and Foster. Each dimension and each indicator within a dimension is equally weighted.
The MPI is calculated as follows:[3]
H: Percentage of people who are MPI poor (incidence of poverty)
A: Average intensity of MPI poverty across the poor (%)
The following ten indicators are used to calculated the MPI:[4]
A person is considered poor if they are deprived in at least 30% of the weighted indicators. The intensity of poverty denotes the proportion of indicators in which they are deprived.
Niger:[5]
In Niger, 92.7% of the country's population is MPI poor (they are deprived in at least 30% of the weighted indicators, by definition). Those who are MPI poor suffer from deprivation in 69.3% of indicators, on average.
Country X consists of persons A, B and C. The following table shows the deprivation on each of the 10 indicators for persons A, B and C.
"0%" indicates no deprivation in that indicator, while "100%" indicates deprivation in that indicator.
Indicator | Weight | Person A | Person B | Person C |
---|---|---|---|---|
1 | 1/6 | 0% | 0% | 0% |
2 | 1/6 | 0% | 0% | 0% |
3 | 1/6 | 100% | 100% | 0% |
4 | 1/6 | 0% | 100% | 0% |
5 | 1/18 | 0% | 100% | 100% |
6 | 1/18 | 0% | 100% | 100% |
7 | 1/18 | 0% | 0% | 100% |
8 | 1/18 | 100% | 100% | 100% |
9 | 1/18 | 100% | 0% | 100% |
10 | 1/18 | 100% | 0% | 0% |
Weighted score | 33.33% | 50.00% | 27.78% | |
Status | MPI poor | MPI poor | Not MPI poor |
Factor H for country X is:
Factor A for country X is:
Thus, the MPI for country X is:
Country | MPI | Number of MPI Poor People (millions) |
% of People who are MPI Poor |
Average Intensity of MPI Poverty |
% of People who are Income Poor ($1.25) |
---|---|---|---|---|---|
Albania | 0.004 | 0.030 | 0.96 | 38.10 | 2.0 |
Angola | 0.452 | 13.614 | 77.35 | 58.43 | 54.3 |
Argentina | 0.011 | 1.181 | 2.99 | 37.74 | 4.5 |
Armenia | 0.008 | 0.070 | 2.25 | 36.53 | 10.6 |
Azerbaijan | 0.021 | 0.461 | 5.37 | 38.61 | 2.0 |
Bangladesh | 0.291 | 91.166 | 57.77 | 50.43 | 49.6 |
Belarus | 0.000 | 0.002 | 0.02 | 35.12 | 2.0 |
Belize | 0.024 | 0.017 | 5.57 | 42.55 | N/A |
Benin | 0.412 | 6.044 | 71.95 | 57.30 | 47.3 |
Bolivia | 0.175 | 3.446 | 36.28 | 48.28 | 19.6 |
Bosnia and Herzegovina | 0.003 | 0.031 | 0.81 | 37.19 | 2.0 |
Brazil | 0.039 | 16.205 | 8.52 | 45.97 | 5.2 |
Burkina Faso | 0.536 | 12.142 | 82.60 | 64.87 | 56.5 |
Burundi | 0.530 | 6.591 | 84.50 | 62.69 | 81.3 |
Cambodia | 0.263 | 7.703 | 53.87 | 48.88 | 40.2 |
Cameroon | 0.299 | 10.211 | 54.61 | 54.67 | 32.8 |
Central African Republic | 0.512 | 3.716 | 86.41 | 59.29 | 62.4 |
Chad | 0.344 | 6.667 | 62.90 | 54.72 | 61.9 |
People's Republic of China | 0.056 | 165.787 | 12.47 | 44.89 | 15.9 |
Colombia | 0.041 | 4.090 | 9.21 | 44.12 | 16.0 |
Comoros | 0.408 | 0.444 | 73.93 | 55.25 | 46.1 |
DR Congo | 0.393 | 45.740 | 73.18 | 53.73 | 59.2 |
Côte d'Ivoire | 0.320 | 10.484 | 52.16 | 61.39 | 23.3 |
Croatia | 0.007 | 0.070 | 1.60 | 41.56 | 2.0 |
Czech Republic | 0.000 | 0.001 | 0.01 | 46.67 | 2.0 |
Djibouti | 0.139 | 0.235 | 29.32 | 47.25 | 18.8 |
Dominican Republic | 0.048 | 1.083 | 11.05 | 43.28 | 5.0 |
Ecuador | 0.009 | 0.294 | 2.21 | 41.59 | 4.7 |
Egypt | 0.026 | 5.138 | 6.41 | 40.37 | 2.0 |
Estonia | 0.026 | 0.094 | 7.22 | 36.54 | 2.0 |
Ethiopia | 0.582 | 70.709 | 89.96 | 64.74 | 39.0 |
Gabon | 0.161 | 0.495 | 35.39 | 45.47 | 4.8 |
Gambia | 0.324 | 0.967 | 60.42 | 53.56 | 34.3 |
Georgia | 0.003 | 0.035 | 0.80 | 35.21 | 13.4 |
Ghana | 0.140 | 6.894 | 30.11 | 46.40 | 30.0 |
Guatemala | 0.127 | 3.466 | 25.86 | 49.11 | 11.7 |
Guinea | 0.505 | 7.906 | 82.35 | 61.28 | 70.1 |
Guyana | 0.055 | 0.110 | 13.77 | 39.67 | 7.7 |
Haiti | 0.306 | 5.556 | 57.27 | 53.34 | 54.9 |
Honduras | 0.160 | 2.349 | 32.62 | 48.91 | 18.2 |
Hungary | 0.003 | 0.076 | 0.76 | 38.89 | 2.0 |
India | 0.296 | 644.958 | 55.38 | 53.50 | 41.6 |
Indonesia | 0.095 | 46.666 | 20.77 | 45.90 | 7.5 |
Iraq | 0.059 | 4.203 | 14.25 | 41.27 | N/A |
Jordan | 0.010 | 0.159 | 2.70 | 35.45 | 2.0 |
Kazakhstan | 0.002 | 0.090 | 0.59 | 36.90 | 3.1 |
Kenya | 0.302 | 22.835 | 60.41 | 50.01 | 19.7 |
Kyrgyzstan | 0.019 | 0.258 | 4.86 | 38.81 | 21.8 |
Laos | 0.267 | 2.882 | 47.25 | 56.50 | 44.0 |
Latvia | 0.001 | 0.007 | 0.30 | 46.67 | 2.0 |
Lesotho | 0.220 | 0.961 | 48.07 | 45.79 | 43.4 |
Liberia | 0.484 | 3.022 | 83.94 | 57.65 | 83.7 |
Republic of Macedonia | 0.008 | 0.038 | 1.92 | 40.87 | 2.0 |
Madagascar | 0.413 | 13.114 | 70.51 | 58.54 | 67.8 |
Malawi | 0.384 | 10.406 | 72.26 | 53.19 | 73.9 |
Mali | 0.564 | 10.806 | 87.14 | 64.71 | 51.4 |
Mauritania | 0.352 | 1.912 | 61.68 | 57.07 | 21.2 |
Mexico | 0.015 | 4.278 | 3.98 | 38.86 | 2.0 |
Mongolia | 0.065 | 0.410 | 15.76 | 41.01 | 22.4 |
Montenegro | 0.006 | 0.009 | 1.53 | 41.61 | N/A |
Morocco | 0.139 | 8.892 | 28.50 | 48.83 | 2.5 |
Mozambique | 0.481 | 17.475 | 79.79 | 60.25 | 74.7 |
Myanmar | 0.088 | 6.969 | 14.19 | 62.01 | N/A |
Namibia | 0.187 | 0.832 | 39.62 | 47.19 | 49.1 |
Nepal | 0.350 | 18.322 | 64.74 | 54.05 | 55.1 |
Nicaragua | 0.211 | 2.281 | 40.73 | 51.86 | 15.8 |
Niger | 0.642 | 13.070 | 92.69 | 69.31 | 65.9 |
Nigeria | 0.368 | 93.832 | 63.53 | 57.87 | 64.4 |
Pakistan | 0.275 | 88.276 | 50.97 | 54.03 | 22.6 |
Palestinian territories | 0.003 | 0.028 | 0.69 | 38.22 | N/A |
Paraguay | 0.064 | 0.809 | 13.26 | 48.50 | 6.5 |
Peru | 0.085 | 5.645 | 19.81 | 43.09 | 7.9 |
Philippines | 0.067 | 11.158 | 12.58 | 53.45 | 22.6 |
Moldova | 0.008 | 0.081 | 2.19 | 37.55 | 8.1 |
Russia | 0.005 | 1.795 | 1.26 | 38.85 | 2.0 |
Rwanda | 0.443 | 7.730 | 81.36 | 54.39 | 76.6 |
São Tomé and Príncipe | 0.236 | 0.103 | 51.62 | 45.80 | N/A |
Senegal | 0.384 | 7.964 | 66.92 | 57.40 | 33.5 |
Serbia | 0.003 | 0.081 | 0.83 | 40.03 | N/A |
Sierra Leone | 0.489 | 4.399 | 81.47 | 60.04 | 53.4 |
Slovakia | 0.000 | 0.000 | 0.00 | 0.00 | 2.0 |
Slovenia | 0.000 | 0.000 | 0.00 | 0.00 | 2.0 |
Somalia | 0.514 | 7.061 | 81.16 | 63.30 | N/A |
South Africa | 0.014 | 1.510 | 3.07 | 46.70 | 26.2 |
Sri Lanka | 0.021 | 1.061 | 5.33 | 38.67 | 14.0 |
Suriname | 0.044 | 0.037 | 7.46 | 58.82 | 15.5 |
Swaziland | 0.183 | 0.494 | 41.13 | 44.44 | 62.9 |
Syria | 0.021 | 1.134 | 5.53 | 37.52 | N/A |
Tajikistan | 0.068 | 1.145 | 17.10 | 40.03 | 21.5 |
Tanzania | 0.367 | 26.952 | 65.26 | 56.29 | 88.5 |
Thailand | 0.006 | 1.105 | 1.65 | 38.49 | 2.0 |
Togo | 0.284 | 3.418 | 54.25 | 52.43 | 38.7 |
Trinidad and Tobago | 0.020 | 0.073 | 5.62 | 35.12 | 4.2 |
Tunisia | 0.010 | 0.285 | 2.82 | 37.13 | 2.6 |
Turkey | 0.039 | 6.183 | 8.47 | 45.93 | 2.7 |
Ukraine | 0.008 | 1.014 | 2.19 | 35.74 | 2.0 |
United Arab Emirates | 0.002 | 0.025 | 0.57 | 35.32 | N/A |
Uruguay | 0.006 | 0.056 | 1.68 | 34.71 | 2.0 |
Uzbekistan | 0.008 | 0.625 | 2.32 | 36.21 | 46.3 |
Vietnam | 0.075 | 12.313 | 14.30 | 52.50 | 21.5 |
Yemen | 0.283 | 11.710 | 52.51 | 53.94 | 17.5 |
Zambia | 0.325 | 7.830 | 63.66 | 51.10 | 64.3 |
Zimbabwe | 0.174 | 4.769 | 38.46 | 45.22 | N/A |
Source: Alkire, Sabina and Maria Emma Santos. 2010. Multidimensional Poverty Index: 2010 Data. Oxford Poverty and Human Development Initiative. Available at: www.ophi.org.uk/policy/multidimensional-poverty-index/.