India lifted 271 million people out of poverty between 2006 and 2016,\nrecording the fastest reductions in the multidimensional poverty index values\nduring the period with strong improvements in areas such as \u201cassets, cooking\nfuel, sanitation and nutrition,\u201d a report by the United Nations said.<\/p>\n\n\n\n
The 2019 global Multidimensional Poverty Index (MPI) from the UN Development\nProgramme (UNDP), the Oxford Poverty and Human Development Initiative (OPHI)\nwas released.<\/p>\n\n\n\n
The report said that in the 101 countries studied \u2014 31 low income, 68 middle\nincome and 2 high income – 1.3 billion people are \u201cmultidimensionally poor\u201d,\nwhich means that poverty is defined not simply by income, but by a number of\nindicators, including poor health, poor quality of work and the threat of\nviolence.<\/p>\n\n\n\n
The report identifies 10 countries, with a combined population of around 2\nbillion people, to illustrate the level of poverty reduction, and all of them\nhave shown statistically significant progress towards achieving Sustainable\nDevelopment Goal 1, namely ending poverty \u201cin all its forms, everywhere\u201d. The\n10 countries are Bangladesh, Cambodia, Democratic Republic of Congo, Ethiopia,\nHaiti, India, Nigeria, Pakistan, Peru and Vietnam.<\/p>\n\n\n\n
The report said that within these 10 countries, data shows that 270 million\npeople moved out of multidimensional poverty from one survey to the next. \u201cThis\nprogress was largely driven by South Asia. In India, there were 271 million\nfewer people in poverty in 2016 than in 2006, while in Bangladesh the number\ndropped by 19 million between 2004 and 2014,\u201d it said.<\/p>\n\n\n\n
The report noted that of the 10 selected countries for which changes over\ntime were analysed, India and Cambodia reduced their MPI values the fastest \u2014\nand they did not leave the poorest groups behind. India\u2019s MPI value reduced\nfrom 0.283 in 2005-06 to 0.123 in 2015-16.<\/p>\n\n\n\n
Noting the examples of pro-poor reduction, where the poorest regions\nimproved the fastest, the report said that Jharkhand in India reduced the\nincidence of multidimensional poverty from 74.9 per cent in 2005-06 to 46.5 per\ncent in 2015-16. Mondol Kiri and Rattanak Kiri in Cambodia reduced it from 71.0\nper cent to 55.9 per cent between 2010 and 2014.<\/p>\n\n\n\n
Ethiopia, India and Peru significantly reduced deprivations in all 10\nindicators, namely nutrition, sanitation, child mortality, drinking water,\nyears of schooling, electricity, school attendance, housing, cooking fuel and\nassets.<\/p>\n\n\n\n
In 2005-2006, the population in India living in multidimensional poverty\nstood at about 640 million people (55.1 per cent) and this reduced to 369\nmillion people (27.9 per cent) living in poverty in 2015-16. India saw\nsignificant reductions in number of people who are multidimensionally poor and\ndeprived in each of the 10 indicators over this time period.<\/p>\n\n\n\n
India reduced deprivation in nutrition from 44.3 per cent in 2005-06 to 21.2\nper cent in 2015-16, child mortality dropped from 4.5 per cent to 2.2 per cent,\npeople deprived of cooking fuel reduced from 52.9 per cent to 26.2 per cent,\ndeprivation in sanitation from 50.4 per cent to 24.6 per cent, those deprived\nof drinking water reduced from 16.6 per cent to 6.2 per cent.<\/p>\n\n\n\n
Further more people gained access to electricity as deprivation was reduced\nfrom 29.1 per cent to 8.6 per cent, housing from 44.9 per cent to 23.6 per cent\nand assets deprivation from 37.6 per cent to 9.5 per cent. The trends in these\n10 countries also shine a light on where poverty reduction has been uneven,\ndespite the good progress overall, it said.\u201cIn all 10 countries rural areas are\npoorer than urban areas. In Cambodia, Haiti, India and Peru poverty reduction\nin rural areas outpaced that in urban areas \u2014 demonstrating pro-poor\ndevelopment \u2014 and in Bangladesh and Democratic Republic of the Congo poverty\nfell at the same speed in rural and urban areas, it added.<\/p>\n\n\n\n
The report also showed that children suffer poverty more intensely than\nadults and are more likely to be deprived in all 10 of the MPI indicators,\nlacking essentials such as clean water, sanitation, adequate nutrition or\nprimary education. <\/p>\n\n\n\n
Child poverty fell markedly faster than adult poverty in Bangladesh,\nCambodia, Haiti, India and Peru. But children fell further behind in Ethiopia,\nand their progress\u2014together with that of adults\u2014stalled in Democratic Republic\nof the Congo and Pakistan. Globally, of the 1.3 billion people who are\nmultidimensionally poor, more than two-thirds of them\u2014886 million\u2014 now live in\nmiddle-income countries. A further 440 million live in low-income countries.<\/p>\n\n\n\n
Even more staggering, worldwide, one in three children is multidimensionally\npoor, compared to one in six adults. That means that nearly half of the people\nliving in multidimensional poverty \u2014 663 million \u2014 are children, with the\nyoungest children bearing the greatest burden. The vast majority of these\nchildren, around 85 per cent, live in South Asia and Sub-Saharan Africa, split\nroughly equally between the two regions.<\/p>\n\n\n\n
The report underscored that the traditional concept of poverty is outdated, demonstrating\nmore clearly than ever that labelling countries – or even households – as rich\nand poor is an oversimplification. \u201cTo fight poverty, one needs to know where\npoor people live. They are not evenly spread across a country, not even within\na household,\u201d UNDP Administrator Achim Steiner said. The report also\nhighlighted a positive trend that those furthest behind are moving up the\nfastest.<\/p>\n\n\n\n
MPI:<\/strong> India lifted 271 million people out of poverty between 2006 and 2016, recording the fastest reductions in the multidimensional poverty index values during the period with strong improvements in areas such as \u201cassets, cooking fuel, sanitation and nutrition,\u201d a report by the United Nations said. The 2019 global Multidimensional Poverty Index (MPI) from the UN […]<\/p>\n","protected":false},"author":13,"featured_media":3722,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[45],"tags":[121,115],"class_list":["post-3721","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-current-affairs-articles","tag-undp","tag-united-nations-current-affairs"],"_links":{"self":[{"href":"https:\/\/www.gkseries.com\/blog\/wp-json\/wp\/v2\/posts\/3721","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.gkseries.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.gkseries.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.gkseries.com\/blog\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gkseries.com\/blog\/wp-json\/wp\/v2\/comments?post=3721"}],"version-history":[{"count":1,"href":"https:\/\/www.gkseries.com\/blog\/wp-json\/wp\/v2\/posts\/3721\/revisions"}],"predecessor-version":[{"id":3723,"href":"https:\/\/www.gkseries.com\/blog\/wp-json\/wp\/v2\/posts\/3721\/revisions\/3723"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.gkseries.com\/blog\/wp-json\/wp\/v2\/media\/3722"}],"wp:attachment":[{"href":"https:\/\/www.gkseries.com\/blog\/wp-json\/wp\/v2\/media?parent=3721"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.gkseries.com\/blog\/wp-json\/wp\/v2\/categories?post=3721"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.gkseries.com\/blog\/wp-json\/wp\/v2\/tags?post=3721"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
The MPI parameter of the Index explored the ways in which people experience poverty in their health, education, and standard of living <\/strong>beyond income as the sole indicator for poverty.<\/strong>
This year\u2019s 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.
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.<\/p>\n","protected":false},"excerpt":{"rendered":"