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Accessibility Statement

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The Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (the ‘accessibility regulations’). If you’re not happy with how we respond to your complaint, contact the Equality Advisory and Support Service (EASS).

OPHI is committed to making its website accessible, in accordance with the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018.

This website is partially compliant with the Web Content Accessibility Guidelines version 2.1 AA standard. Non-compliance can be accessed in the test report.

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This statement was prepared on 14th Sept 2020. It was last reviewed on 14th Sept 2020

This website was last tested on 14th Sept 2020 by OPHI.

Download and read the full accessibility test report.

Multidimensional Poverty across Ethnic Groups: Disaggregating the Global MPI

OPHI Briefing 55 (PDF, 12 pages)

It is vital to document inequalities across ethnic groups to inform policies that can enable inclusive poverty reduction measures and prioritise the poorest. The Sustainable Development Goals (SDGs) demand greater disaggregation of indicators in order to make visible the inequalities that exist across social groups. This briefing presents disaggregations of the global Multidimensional Poverty Index (MPI)2 by ethnicity for the 24 countries and 650 million people whose current surveys present figures by ethnic group.

Download OPHI Briefing 55 here.

Download the supplementary Ethnicity Table.

Authors: Sabina Alkire and Fanni Kovesdi.
Year: 2020.

Citation for the briefing: Alkire, S. and Kovesdi, F. (2020). ‘Multidimensional poverty across ethnic groups: Disaggregating the global MPI’, OPHI Briefing 55. Oxford Poverty and Human Development Initiative, University of Oxford.

Citation for the Ethnicity Table: Kovesdi, F. and Mitchell, C. (2020). ‘Ethnicity disaggregation of the 2019 global Multidimensional Poverty Index’, Oxford Poverty and Human Development Initiative (OPHI), University of Oxford.

OPHI Research in Progress 57a Appendix E

Appendix E

‘Changes over time in the global Multidimensional Poverty Index and other measures: Towards national poverty reports’, OPHI Research in Progress 57a.

Eighty national poverty reports, triangulating monetary measures and the global MPI family of multidimensional poverty measures.

All eighty national poverty reports (pdf).

Individual country reports (png files):
1. Afghanistan
2. Albania
3. Armenia
4. Bangladesh
5. Belize
6. Benin
7. Bolivia
8. Bosnia and Herzegovina
9. Burkina Faso
10. Burundi
11. Cambodia
12. Cameroon
13. Central African Republic
14. Chad
15. China
16. Colombia
17. Congo, Democratic Republic of
18. Cote D’Ivoire
19. Dominican Republic
20. Egypt
21. eSwatini
22. Ethiopia
23. Gabon
24. Gambia
25. Ghana
26. Guinea
27. Guyana
28. Haiti
29. Honduras
30. India
31. Indonesia
32. Iraq
33. Jamaica
34. Jordan
35. Kazakhstan
36. Kenya
37. Kyrgyzstan
38. Lao PDR
39. Lesotho
40. Liberia
41. Madagascar
42. Malawi
43. Mali
44. Mauritania
45. Mexico
46. Moldova
47. Mongolia
48. Montenegro
49. Mozambique
50. Namibia
51. Nepal
52. Nicaragua
53. Niger
54. Nigeria
55. North Macedonia
56. Pakistan
57. Peru
58. Philippines
59. Republic of the Congo
60. Rwanda
61. Sao Tome and Principe
62. Senegal
63. Serbia
64. Sierra Leone
65. State of Palestine
66. Sudan
67. Suriname
68. Tajikistan
69. Tanzania
70. Thailand
71. Timor-Leste
72. Togo
73. Trinidad and Tobago
74. Turkmenistan
75. Uganda
76. Ukraine
77. Viet Nam
78. Yemen
79. Zambia
80. Zimbabwe

Global MPI 2020 – Charting pathways out of multidimensional poverty: Achieving the SDGs

The joint OPHI and UNDP global MPI report, Global Multidimensional Poverty Index 2020 – Charting Pathways out of Multidimensional Poverty: Achieving the SDGs, presents the key findings of the global MPI 2020 and the first comprehensive study of harmonized MPI trends, also known as Changes over Time, indicating that 65 out of 75 countries reduced MPI significantly.

It explores whether before the pandemic countries were on or off track to halve multidimensional poverty by 2030 – a challenge set by SDG 1 – and finds 47 countries were on track. In the context of the current pandemic, the report simulates possible impacts of COVID-19 on multidimensional poverty, finding that, if unaddressed, it could set progress back by up to a decade. Finally, linkages between the global MPI and other SDG indicators related to climate, work, immunization, higher education, and urban/rural areas bring together multiple perspectives on pressing issues in development. Our analysis covers the significant progress in poverty reduction made by some countries in the past twenty years, but it is clear that decisive action is needed more than ever to sustain progress and ensure no one is left behind.

Download the Global MPI 2020 report Charting pathways out of multidimensional poverty: Achieving the SDGs

Country Briefings – 2019

Country Briefings

These briefings present country-specific results of the global MPI 2019 analysis of 101 developing countries, illustrated with graphs, maps and charts.

Each country profile includes comparisons of the global MPI with other poverty measures, breakdowns by deprivation indicators and urban/rural areas, and a look at the average intensity of poverty across the poor. Of the countries analysed, 83 also have data on poverty at the sub-national level, covering 1,119 regions.

Country Briefings from previous years are available here.

2019

Afghanistan (AFG)Guatemala (GTM)Niger (NER)
Albania (ALB)Guinea (GIN)Nigeria (NGA)
Algeria (DZA)Guinea-Bissau (GNB)Pakistan (PAK)
Angola (AGO)Guyana (GUY)Palestine, State of (PSE)
Armenia (ARM)Haiti (HTI)Paraguay (PRY)
Bangladesh (BGD)Honduras (HND)Peru (PER)
Barbados (BRB)India (IND)Philippines (PHL)
Benin (BEN)Indonesia (IDN)Rwanda (RWA)
Belize (BLZ)Iraq (IRQ)Saint Lucia (LCA)
Bhutan (BTN)Jamaica (JAM)Sao Tome & Principe (STP)
Bolivia (BOL)Jordan (JOR)Senegal (SEN)
Bosnia & Herzegovina (BIH)Kazakhstan (KAZ)Serbia (SRB)
Brazil (BRA)Kenya (KEN)Sierra Leone (SLE)
Burkina Faso (BFA)Kyrgyzstan (KGZ)South Africa (ZAF)
Burundi (BDI)Lao PDR (LAO)South Sudan (SSD)
Cambodia (KHM)Liberia (LBR)Sudan (SDN)
Cameroon (CMR)Libya (LBY)Suriname (SUR)
Central African Rep. (CAF)Lesotho (LSO)Syrian Arab Republic (SYR)
Chad (TCD)Macedonia (MKD)Tajikistan (TJK)
China (CHN)Madagascar (MDG)Tanzania (TZA)
Colombia (COL)Malawi (MWI)Thailand (THA)
Comoros (COM)Maldives (MDV)Timor-Leste (TLS)
Congo (COG)Mali (MLI)Togo (TGO)
Congo DR (COD)Mauritania (MRT)Trinidad and Tobago (TTO)
Cote d’Ivoire (CIV)Mexico (MEX)Tunisia (TUN)
Dominican Republic (DOM)Moldova (MDA)Turkmenistan (TKM)
Ecuador (ECU)Mongolia (MNG)Uganda (UGA)
Egypt (EGY)Montenegro (MNE)Ukraine (UKR)
eSwatini (SWZ)Morocco (MAR)Vanuatu (VUT)
El Salvador (SLV)Mozambique (MOZ)Viet Nam (VNM)
Ethiopia (ETH)Myanmar (MMR)Yemen (YEM)
Gabon (GAB)Namibia (NAM)Zambia (ZMB)
Gambia (GMB)Nepal (NPL)Zimbabwe (ZWE)
Ghana (GHA)Nicaragua (NIC) 

Andhra Pradesh Multidimensional Poverty Index report 2017

This short report is based on the Multidimensional Poverty Index (MPI) developed by the Oxford Poverty and Human Development Initiative (OPHI) n collaboration with the Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
The report contains well-designed infographics presenting the MPI constructed especially for Andhra Pradesh. The MPI is based on survey conducted in 2016–17 using an effective sample of 12,325 households and 43,664 household members across all districts in the State.
Download the report here.