Oxford and Human Development Initiative (OPHI) www.ophi.org.uk Oxford Dept of International Development, Queen lizabeth House, University of Oxford Country Briefing: Benin Multidimensional Index (MPI) At a Glance December 2011 This Country Briefing presents the results of the Multidimensional Index (MPI) and explains key findings graphically. urther information as well as international comparisons are available at www.ophi.org.uk/policy/multidimensional-poverty-index/. The MPI was constructed by OPHI for UDP s 2011 Human Development Report (http://hdr.undp.org/en/). Citation: Alkire, abina; Jose Manuel Roche; Maria mma antos & uman eth (2011). Benin Country Briefing. Oxford & Human Development Initiative (OPHI) Multidimensional Index Country Briefing eries. Available at: www.ophi.org.uk/policy/multidimensional-poverty-index/mpi-country-briefings/. or more information on the MPI please see Alkire, abina and Maria mma antos. Acute Multidimensional : A ew Index for Developing Countries OPHI Working Paper 38 and the latest MPI resources online: http://www.ophi.org.uk/policy/multidimensional-poverty-index/mpiresources/. Inside the MPI The MPI has three dimensions and 10 indicators, which are shown in the box below. ach dimension is equally weighted, each indicator within a dimension is also equally weighted, and these weights are shown in brackets within the diagram. Country Profile Benin-DH-2006 Country: 3 Benin 9 Year: 2006 urvey: DH Region: ub-aharan Africa Multidimensional Index (MPI) 1 1 The MPI reflects both the incidence or headcount ratio (H) of poverty the proportion of the population that is multidimensionally poor and the average intensity (A) of their poverty the average proportion of indicators in which poor people are deprived. The MPI is calculated by multiplying the incidence of poverty by the average intensity across the poor (H*A). A person is identified as poor if he or she is deprived in at least one third of the weighted indicators. The following table shows the multidimensional poverty rate (MPI) and its two components: incidence of poverty (H) and average intensity of deprivation faced by the poor (A). The first and second columns of the table report the survey and year used to generate the MPI results. Those identified as MPI poor are deprived in at least 33% of weighted indicators. Those identified as "Vulnerable to " are deprived in 20% - 33% of weighted indicators and those identified as in "evere " are deprived in over 50%. urvey Year Multidimensional Index (MPI = H A) Incidence of (H) Average Intensity Across the Poor (A) Vulnerable to in evere DH 2006 0.412 57.4% 13.2% 47.2% www.ophi.org.uk Page 1
Comparing the MPI with Other Measures Column chart A compares the poverty rate using the MPI with three other commonly used poverty measures. The height of the first column denotes the percentage of people who are MPI poor (also called the incidence or headcount ratio). The second and third columns denote the percentages of people who are poor according to the $1.25 a day income poverty line and $2.00 a day line, respectively. The final column denotes the percentage of people who are poor according to the national income poverty line. The table on the right-hand side reports various descriptive statistics for the country. The statistics shaded in khaki/olive are taken from the year closest to the year of the survey used to calculate the MPI. The year is provided below each column in chart A. Proportion of Poor People 8 7 6 5 4 3 2 1 A. Comparative Measures 47.3% 75.3% 0.412 MPI (H) U$1.25 a U$2 a d ational L Average Intensity of Deprivation (A) 57.4% 72% 47% 75% 39% 47.3% Income Poor ($2.00 a day) 75.3% Poor (ational Line) 39.0% MPI (H) U$1.25 a day U$2 a day ational Line 2006 2003 2003 2003 HDI category* Low Measure Comparing the MPI with Other Measures 39.0% ummary Multidimensional Index MPI Poor (H) Income Poor ($1.25 a day) Human Development Index 2011* HDI rank* The World Bank (2011). World Development Indicators. Washington, DC. * UDP (2011). "Human Development Report", tatistical Table 1. ew York. ote: or population figures and numbers of MPI poor people, consult the tables on OPHI s website: http://www.ophi.org.uk/policy/multidimensional-poverty-index/. Column chart B shows the percentage of people who are MPI poor (also called the incidence or headcount) in the 109 developing countries analysed. The column denoting this country is dark, with other countries shown in light grey. The dark dots denote the percentage of people who are income poor according to the $1.25 a day poverty line in each country. The graph above tells you the year this data comes from. Dots are only shown where the income data available is within three years of the MPI survey year. 0.427 167 Poor People 100% B. Headcounts of MPI Poor and $1.25/day Poor 90% 80% 70% 60% 50% 40% 30% 20% 0% iger thiopia Mali Central African Republic Burundi Liberia Burkina aso Guinea omalia Rwanda Mozambique Angola ierra Leone Comoros DR Congo Uganda Malawi Benin Timor Leste enegal Madagascar Tanzania epal Zambia Chad Mauritania Cote d'ivoire Gambia Bangladesh Haiti Togo igeria India Cameroon Yemen Cambodia Pakistan Kenya Lao waziland Republic of Congo Zimbabwe amibia Gabon Lesotho ao Tome and Principe Honduras Myanmar Ghana Vanuatu Djibouti icaragua Bhutan Guatemala Indonesia Bolivia Peru Viet am Tajikistan Mongolia Iraq Philippines Guyana outh Africa Paraguay China Morocco uriname stonia Turkey gypt Trinidad and Tobago Belize yrian Arab Republic Colombia ri Lanka Azerbaijan Maldives Kyrgyzstan Dominican Republic Hungary Croatia Mexico Czech Republic Argentina Tunisia Brazil Jordan Uzbekistan cuador Ukraine Macedonia Moldova Uruguay Thailand Latvia Montenegro Occupied Palestinian Territories Albania Russian ederation Armenia erbia Bosnia and Herzegovina Georgia Kazakhstan United Arab mirates Belarus lovakia lovenia MPI Poor 18 18 Income Poor (living on less than $1.25 a day) www.ophi.org.uk Page 2
Incidence of Deprivation in ach of the MPI Indicators The MPI uses 10 indicators to measure poverty in three dimensions: education, health and living standards. The bar chart to the left reports the proportion of the population that is poor and deprived in each indicator. We do not include the deprivation of non-poor people. The spider diagram to the right compares the proportions of the population that are poor and deprived across different indicators. At the same time it compares the performance of rural areas and urban areas with that of the national aggregate. Patterns of deprivation may differ in rural and urban areas. C. Deprivations in each Indicator D. the MPI Poor and Deprived Living tandards Health ducation Drinking. Water 9 8 7 6 5 4 3 2 1 1 2 3 4 5 6 7 8 the who are MPI poor and deprived in each indicator ational Urban Rural Composition of the MPI The MPI can be broken down to see directly how much each indicator contributes to multidimensional poverty. The following figure shows the composition of the MPI using a pie chart. ach piece of the pie represents the percentage contribution of each indicator to the overall MPI of the country. The larger the slice of the pie chart, the bigger the weighted contribution of the indicator to overall poverty.. Contribution of Indicators to the MPI 5% 5% 9% 9% 4% 17% 16% 15% ducation Health Living standards www.ophi.org.uk Page 3
Decomposition of MPI by Region The MPI can be decomposed by different population subgroups, then broken down by dimension, to show how the composition of poverty differs between different regions or groups. On the left-hand side of column chart, the height of each of the three bars shows the level of MPI at the national level, for urban areas, and for rural areas, respectively. Inside each bar, different colours represent the contribution of different weighted indicators to the overall MPI. On the right-hand side of column chart, the colours inside each bar denote the percentage contribution of each indicator to the overall MPI, and all bars add up to 100%. This enables an immediate visual comparison of the composition of poverty across regions.. Contribution of Indicators to the MPI at the ational Level, for Urban Areas, and for Rural Areas 0.600 100% 90%, 17.1%, 15.6%, 17.6% MPI Value 0.500 0.400 0.300 0.200 0.100 0.000 A A A C C C A A A ational Urban Rural Percentage Contribution to MPI 80% 70% 60% 50% 40% 30% 20% 0% A, 16.4% A, 16.5% A, 16.4%, 15.1%, 16.9%, 14.5%, 1, 11.4%, 9.6%, 8.8%, 7.8%, 9.1%, 9.4%, 9.7%, 9.2%, 4.5%, 4.0%, 4.6%, 5.3%, 4.1%, 5.7% C, 9.6% C, 10.2% C, 9.4% A, 3.8% A, 3.9% A, 3.7% ational Urban Rural = = = = C = A = = = = A = Intensity of Multidimensional Recall that i) a person is considered poor if they are deprived in at least one third of the weighted indicators and ii) the intensity of poverty denotes the proportion of indicators in which they are deprived. A person who is deprived in 100% of the indicators has a greater intensity of poverty than someone deprived in 40%. The following figures show the percentage of MPI poor people who experience different intensities of poverty. The pie chart below breaks the poor population into seven groups based on the intensity of their poverty. or example, the first slice shows deprivation intensities of greater than 33% but strictly less than 40%. It shows the proportion of poor people whose intensity (the percentage of indicators in which they are deprived) falls into each group. The column chart H reports the proportion of the population in a country that is poor in that percentage of indicators or more. or example, the number over the 40% bar represents the percentage of people who are deprived in 40% or more indicators. 80%-89.9% 33% 90%-100% 40% 50% 60% 70% 80% 90% 100% H. People Deprived in X% per 0.718 0.560 0.472 0.322 0.185 0.073 0.031 0.000 or more of the MPI Weighted Indicators 8 0.282 0.440 0.528 0.678 0.815 0.927 0.969 1.000 70%-79.9% 40%-49.9% 60%-69.9% 50%-59.9% G. Intensity of Deprivation Among MPI Poor MPI Poor 7 33%-39.9% 40%-49.950%-59.9%60%-69.970%-79.9%80%-89.90%-100% 6 56.0% 33%-39.9% 0.159 0.087 0.150 0.137 0.112 0.042 0.031 47.2% 5 4 32.2% 3 18.5% 2 7.3% 1 3.1% 33% 40% 50% 60% 70% 80% 90% 100% Intensity of www.ophi.org.uk Page 4
Multidimensional at the ub-national Level In addition to providing data on multidimensional poverty at the national level, the MPI can also be 'decomposed' by sub-national regions to show disparities in poverty within countries. This analysis can be easily performed when the survey used for the MPI is representative at the sub-national level. The following table shows the MPI value and its two components at the sub-national level: the incidence of poverty (H) and the average intensity of deprivation faced by the poor (A). The last two columns present the percentage of the population vulnerable to multidimensional poverty and living in severe poverty, respectively. Regional population figures, in the second column, are estimated using the weighted sample share of each region and the 2008 population estimates from UDA, Division (2011), World. The map shows visually how the MPI varies across regions - a darker colour indicates higher MPI and therefore greater poverty. I. Multidimensional across ub-national Regions Region Percentage of Multidimensional Index (MPI = H A) Incidence of (H) Average Intensity Across the Poor (A) Vulnerable to in evere Alibori 7.5% 0.628 93.8% 67.0% 4.2% 78.8% Atacora 7.4% 0.592 89.8% 65.9% 5.6% 73.0% Atlantique 11.2% 0.363 66.4% 54.6% 15.2% 39.4% Borgou 9.7% 0.474 77.2% 61.3% 11.6% 56.4% Collines 7.6% 0.402 76.6% 52.5% 13.1% 43.9% Couffo 8.4% 0.439 79.6% 55.1% 13.2% 49.2% Donga 4.8% 0.503 86.8% 57.9% 6.8% 60.5% Littoral 8.4% 0.098 21.9% 44.8% 25.9% 6.5% Mono 5.7% 0.401 73.8% 54.3% 16.7% 44.4% Oueme 12.9% 0.330 61.6% 53.6% 17.0% 36.9% Plateau 5.4% 0.483 83.6% 57.7% 8.9% 56.5% Zou 11.1% 0.396 73.3% 54.0% 13.3% 42.8% J. Mapping Rates at the ub-national Level The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by OPHI or the University of Oxford. This map is intended for illustrative purposes only. www.ophi.org.uk Page 5