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<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Direct Link to Full 26-Page 2019 Report:<o:p></o:p></b></p>
<p class="MsoNormal"><a href="http://hdr.undp.org/sites/default/files/mpi_2019_publication.pdf"><span style="color:blue">http://hdr.undp.org/sites/default/files/mpi_2019_publication.pdf</span></a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><img border="0" width="560" height="577" id="Picture_x0020_1" src="cid:image002.png@01D5424A.68E7C310" alt="cid:image002.png@01D5424A.68E7C310"><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><a href="http://hdr.undp.org/en/2019-MPI"><span style="color:blue">http://hdr.undp.org/en/2019-MPI</span></a><o:p></o:p></p>
<p class="MsoNormal">Website Includes Video.<o:p></o:p></p>
<p class="MsoNormal">Scroll Down Website to Access Report in French & Spanish.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal" style="line-height:18.6pt"><span style="font-size:16.0pt;font-family:"Arial",sans-serif">The 2019 Global Multidimensional Poverty Index (MPI)<o:p></o:p></span></p>
<p class="MsoNormal" style="line-height:18.6pt"><span style="font-size:16.0pt;font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;line-height:16.8pt;background:#F4F4F4">
<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">The <b>2019 Global Multidimensional Poverty Index (MPI) data and publication "Illuminating Inequalities"</b> released on 11 July 2019 shed light on the number of people experiencing poverty
at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;line-height:16.8pt;background:#F4F4F4">
<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">Jointly developed by the United Nations Development Programme (UNDP) and </span><a href="https://ophi.org.uk/global-mpi-2019/"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#0070A8;text-decoration:none">the
Oxford Poverty and Human Development Initiative (OPHI)</span></a><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black"> at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;line-height:16.8pt;background:#F4F4F4">
<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards </span><a href="https://sustainabledevelopment.un.org/sdg1"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#0070A8;text-decoration:none">Sustainable
Development Goal (SDG) 1</span></a><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black"> – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least
by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;line-height:16.8pt;background:#F4F4F4">
<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">The publication “Illuminating Inequalities” previews ongoing research into trends over time for a group of countries including Bangladesh, Democratic Republic of Congo, Ethiopia, Haiti,
India, Nigeria, Pakistan, and Peru. SDG target 10.1 calls for tracking the progress of the bottom 40 percent of the population compared with that of the total population – the publication includes case studies and a detailed analysis of the growth of those
furthest behind – the ‘bottom 40%’.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;line-height:16.8pt;background:#F4F4F4">
<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:7.5pt;margin-right:0in;margin-bottom:7.5pt;margin-left:0in;line-height:18.6pt;background:#F4F4F4">
<b><span style="font-size:15.0pt;font-family:"Arial",sans-serif;color:black">Key findings</span></b><span style="font-size:15.0pt;font-family:"Arial",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:18.75pt;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:#F4F4F4">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">Across 101 countries, 1.3 billion people—23.1 percent—are multidimensionally poor.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:18.75pt;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:#F4F4F4">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">Two-thirds of multidimensionally poor people live in middle-income countries.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:18.75pt;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:#F4F4F4">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">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).<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:18.75pt;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:#F4F4F4">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">Half of the 1.3 billion multidimensionally poor people are children under age 18. A third are children under age 10.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:18.75pt;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:#F4F4F4">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">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.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:18.75pt;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:#F4F4F4">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">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.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:18.75pt;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:#F4F4F4">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">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.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:18.75pt;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:#F4F4F4">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">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.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:18.75pt;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:#F4F4F4">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">There is little or no association between economic inequality (measured using the Gini coefficient) and the MPI value.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:18.75pt;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:#F4F4F4">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">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.<o:p></o:p></span></p>
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