{"id":10366,"date":"2021-11-27T00:00:00","date_gmt":"2021-11-27T00:00:00","guid":{"rendered":"https:\/\/www.nextias.com\/current_affairs\/uncategorized\/27-11-2021\/national-multidimensional-poverty-index-mpi\/"},"modified":"2021-11-27T00:00:00","modified_gmt":"2021-11-27T00:00:00","slug":"national-multidimensional-poverty-index-mpi","status":"publish","type":"post","link":"https:\/\/www.nextias.com\/ca\/current-affairs\/27-11-2021\/national-multidimensional-poverty-index-mpi","title":{"rendered":"National Multidimensional Poverty Index (MPI)"},"content":{"rendered":"<p style=\"text-align:justify\"><span style=\"font-size:13pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong><u>In News<\/u><\/strong><\/span><\/span><\/span><\/p>\n<p style=\"text-align:justify\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Recently, Niti Aayog has published the first-ever National Multidimensional Poverty Index (MPI) of India.<\/span><\/span><\/span><\/p>\n<p style=\"text-align:justify\"><span style=\"font-size:13pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong><u>Key Findings<\/u><\/strong><\/span><\/span><\/span><\/p>\n<ul>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Among States:<\/strong><\/span><\/span><\/span>\n<ul>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Bihar has the highest proportion of people who are<\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong> multidimensionally poor<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">, followed by Jharkhand and Uttar Pradesh.<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Kerala, Goa, and Sikkim have the lowest percentage of the population being multidimensionally poor.<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">This baseline report of the national MPI measure is based on the <\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>reference period of 2015-16<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> of the National Family Health Survey (NFHS).<\/span><\/span><\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p style=\"text-align:center\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><img decoding=\"async\" src=\"https:\/\/lh6.googleusercontent.com\/UVv34WLATsbkECjPv_ixG4puBJxUFl1PLFlYleVchgtsEl5gUZZwsqQyTupHOsBZA07QQ2BRAvpSi-3BO09keI92vkhOcHFWirlA80MeYLMO-RqG8dHpwu6ZGRiDrHHiK7boU0Gh\" style=\"height:279px; margin-left:-12px; width:601.9999999999999\" \/><\/span><\/span><\/span><\/p>\n<p style=\"text-align:center\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Image Courtesy:<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> <\/span><\/span><\/span><a href=\"https:\/\/indianexpress.com\/article\/india\/bihar-poor-nfh-survey-mpi-niti-aayog-7643708\/\" style=\"text-decoration:none\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#1155cc\"><u>IE<\/u><\/span><\/span><\/span><\/a><\/p>\n<ul>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Among Union Territories (UTs):<\/strong><\/span><\/span><\/span>\n<ul>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Dadra and Nagar Haveli (27.36 per cent), Jammu &#038; Kashmir, and Ladakh (12.58), Daman &#038; Diu (6.82 per cent) and Chandigarh (5.97 per cent), have emerged as the <\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>poorest UTs<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> in India.\u00a0<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">The proportion of poor in Puducherry at 1.72 percent is the <\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>lowest <\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">among the Union Territories, followed by Lakshadweep at 1.82 per cent, Andaman &#038; Nicobar Islands at 4.30 per cent and Delhi at 4.79 per cent.<\/span><\/span><\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p style=\"text-align:center\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><img decoding=\"async\" src=\"https:\/\/lh6.googleusercontent.com\/I3XpfFUyZ_veK20pyq4X3zOj7WyjXc18cy6bPEw9bE-oo9gSqwpDYXS6K8QqliQYkilYFABIXatLgs_gLsikOMRY16AToV_etDk09J-jEWL1GnR_y9t28THnm3XBAqgT1ra51h70\" style=\"height:491px; width:532px\" \/><\/span><\/span><\/span><\/p>\n<p style=\"text-align:center\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Image Courtesy:<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> <\/span><\/span><\/span><a href=\"https:\/\/www.thehindu.com\/news\/national\/bihar-has-most-poor-people-in-india-niti-aayog\/article37698673.ece\/amp\/\" style=\"text-decoration:none\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#1155cc\"><u>TH<\/u><\/span><\/span><\/span><\/a><\/p>\n<p>\u00a0<\/p>\n<ul>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Global Rank:<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> According to Global MPI 2021, India\u2019s rank is 66 out of 109 countries.<\/span><\/span><\/span><\/li>\n<\/ul>\n<p style=\"text-align:justify\"><span style=\"font-size:13pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong><u>About National Multidimensional Poverty Index (MPI)<\/u><\/strong><\/span><\/span><\/span><\/p>\n<ul>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Prepared By:<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> the Government think-tank NITI Aayog<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Objective:<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">\u00a0<\/span><\/span><\/span>\n<ul>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">To measure poverty across its multiple dimensions and in effect complements existing poverty statistics based on per capita consumption expenditure.\u00a0<\/span><\/span><\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Purpose of National MPI as a measure:<\/strong><\/span><\/span><\/span>\n<ul>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Enhanced high-level view of poverty at the national level<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Complements monetary poverty measures<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Gives Information to shape policy<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">The MPI is based on each person\u2019s or household\u2019s profile of the overlapping or \u201cjoint\u201d deprivations they experience.<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Provides incentives for leaving no one behind and reaching the furthest behind first<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Adaptable to national context and transparent<\/span><\/span><\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Credible Methodology:\u00a0<\/strong><\/span><\/span><\/span>\n<ul>\n<li style=\"list-style-type:circle\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">India\u2019s national MPI measure uses the globally accepted and robust methodology developed by the Oxford Poverty and Human Development Initiative (OPHI) and the United Nations Development Programme (UNDP) which publishes the Global Multidimensional Poverty Index.<\/span><\/span><\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Three Macro Dimensions:<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> The National MPI dimensions, indicators and weights are given below &#8211;<\/span><\/span><\/span><\/li>\n<\/ul>\n<p style=\"text-align:justify\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><img decoding=\"async\" src=\"https:\/\/lh5.googleusercontent.com\/b3dqxWzxryD5jZxuBb6tTJVwrgV66MzFHL1F4O_IRTUpoWaHox2o56OhCSI5jn3hbFf0AaXI5HphipIJc3LoTkSMDOwy5tHOBbR0qv0bj6d0Hxt7ODctatWhodBlWPtEVvXZlmDx\" style=\"height:469px; width:602px\" \/><\/span><\/span><\/span><\/p>\n<p style=\"text-align:center\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Image Courtesy: <\/strong><\/span><\/span><\/span><a href=\"http:\/\/pib.gov.in\/PressReleasePage.aspx?PRID=1775489\" style=\"text-decoration:none\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#1155cc\"><u>PIB<\/u><\/span><\/span><\/span><\/a><\/p>\n<p style=\"text-align:justify\"><span style=\"font-size:13pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong><u>Significance<\/u><\/strong><\/span><\/span><\/span><\/p>\n<ul>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Important Public Policy Tool:<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> The development of the National MPI of India will be instituting a public policy tool which monitors multidimensional poverty, informs evidence-based and focused interventions, thereby ensuring that no one is left behind.<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Adjugdes Success of Multi-sectoral Interventions:<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> It provides important insights into the degree of success of multi-sectoral interventions to address various aspects of poverty.<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Includes Multiple Deprivations:<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> Importantly, as a measure of multidimensional poverty, it captures multiple and simultaneous deprivation faced by households.<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Rigorous Analysis Through All Levels: <\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">This report presents an in-depth analysis of the headcount ratio and intensity of multidimensional poverty at the national, State\/UT, and district levels.<\/span><\/span><\/span><\/li>\n<\/ul>\n<p style=\"text-align:justify\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">\u00a0<\/span><\/span><\/span><\/p>\n<p style=\"text-align:justify\"><span style=\"font-size:13pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong><u>Conclusion<\/u><\/strong><\/span><\/span><\/span><\/p>\n<ul>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">India\u2019s national MPI has been envisaged as a <\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>comprehensive tool to expedite goal-oriented action<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> to measure multidimensional poverty and steer its systematic eradication.\u00a0<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">The dimensions of the index have proven to help <\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>identify <\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">and <\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>achieve<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> <\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>targeted policy interventions<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">.<\/span><\/span><\/span><\/li>\n<\/ul>\n<div>\n<table cellspacing=\"0\" style=\"border-collapse:collapse; border:none; table-layout:fixed; width:625px\">\n<tbody>\n<tr>\n<td style=\"background-color:#fff2cc; border-bottom:2px solid #000000; border-left:2px solid #000000; border-right:2px solid #000000; border-top:2px solid #000000; vertical-align:top\">\n<p><span style=\"font-size:13pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Important Poverty Alleviation Programmes of India<\/strong><\/span><\/span><\/span><\/p>\n<ul>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Jawahar Gram Samridhi Yojana<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) 2005<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">National Rural &#038; Urban Livelihood Mission<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">National Urban Livelihood Mission<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Pradhan Mantri Kaushal Vikas Yojana<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Swarna Jayanti Shahari Rozgar Yojana (SJSRY)<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Valmiki Ambedkar Awas Yojana (VAMBAY)<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Antyodaya Anna Yojana (AAY)<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">National Food for Work Programme<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Pradhan Mantri Jan Dhan Yojana<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Schemes for Financial Assistance:<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Pradhan Mantri Kisan Samman Nidhi<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Pradhan Mantri Jan Dhan Yojana<\/span><\/span><\/span><\/li>\n<li style=\"list-style-type:disc\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">Integrated Rural Development Programme (IRDP)<\/span><\/span><\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\n<span style=\"font-size:13pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"><strong>Sources<\/strong><\/span><\/span><\/span><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\">: <\/span><\/span><\/span><a href=\"https:\/\/www.thehindu.com\/news\/national\/bihar-has-most-poor-people-in-india-niti-aayog\/article37698673.ece\/amp\/\" style=\"text-decoration:none\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#1155cc\"><u>TH<\/u><\/span><\/span><\/span><\/a><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#000000\"> + <\/span><\/span><\/span><a href=\"https:\/\/www.pib.gov.in\/PressReleasePage.aspx?PRID=1775489\" style=\"text-decoration:none\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size:12pt\"><span style=\"font-family:'Book Antiqua',serif\"><span style=\"color:#1155cc\"><u>PIB<\/u><\/span><\/span><\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In News Recently, Niti Aayog has published the first-ever National Multidimensional Poverty Index (MPI) of India. Key Findings Among States: Bihar has the highest proportion of people who are multidimensionally poor, followed by Jharkhand and Uttar Pradesh. Kerala, Goa, and Sikkim have the lowest percentage of the population being multidimensionally poor. This baseline report of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":10367,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[21],"tags":[30,108],"class_list":["post-10366","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-current-affairs","tag-gs-2","tag-issues-relating-to-poverty-hunger"],"acf":[],"jetpack_featured_media_url":"https:\/\/wp-images.nextias.com\/cdn-cgi\/image\/format=auto\/ca\/uploads\/2023\/07\/4491423Screenshot.png","_links":{"self":[{"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/posts\/10366","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/comments?post=10366"}],"version-history":[{"count":0,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/posts\/10366\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/media\/10367"}],"wp:attachment":[{"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/media?parent=10366"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/categories?post=10366"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/tags?post=10366"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}