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Global MPI Data Tables and Do-Files 2020 – archive

Global MPI data tables 2020

Table 1National Results MPI 2020 [download]
Table 2Other k Values MPI 2020 [download]
Table 3Age Results MPI 2020 [download]
Table 4Rural/Urban Area Results MPI 2020 [download]
Table 5Subnational Results MPI 2020 [download]
Table 6Changes over Time (incl. subnational, rural/urban and age disaggregation)[download]
Table 7All MPI Data 2010–2020 [download]

MPI Methodological Note 49 for Tables 1–5 and MPI Methodological Note 50 for Table 6 define the statistics presented in the tables, explain the MPI indicator construction, and have entries detailing any specific data considerations for each country updated in 2020.

Global MPI do-files 2020

The do-files are the computational files that were used to create the MPI from each dataset in Stata.

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

Country Briefings 2020 – archive

Global MPI Country Briefings 2020

The global MPI Country Briefings present the country-specific results for the 107 countries in this year’s global MPI.

Each profile includes:

  • the level of multidimensional poverty, its incidence and intensity;
  • comparisons of the global MPI incidence with $1.90 a day and national monetary measures;
  • breakdowns by indicators;
  • disaggregation by urban/rural areas and subnational regions; and
  • studies of the distribution of deprivation scores that together make up the intensity of poverty across multidimensionally poor people.

Of the countries analysed, 98 have poverty data at the subnational level, covering 1,279 regions, and this information is shared and mapped.

Country Briefings 2020

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

Changes over Time Country Briefings 2020

For the first time we offer a second series of Country Briefings on the study of poverty trends for the countries included in the Changes over Time analysis.

These briefings explore harmonized trends (indicated by MPIT) in poverty between two time points studied in each country. They cover 80 countries within the global MPI. Detailed results are presented in Table 6 and defined in the MPI Methodological Note 50.

Each profile includes:

  • the change in the MPIT, incidence, and intensity of multidimensional poverty;
  • changes in censored headcount ratios for each indicators;
  • absolute and relative changes in MPIT and incidence across subnational regions;
  • absolute reduction in MPIT across subnational regions;
  • absolute reduction in MPIT across age groups; and
  • the contribution of each indicator to MPIT in national, urban, and rural areas across the years.

This is the first global analysis of trends in multidimensional poverty covering five billion people. Find out more about the Changes over Time analysis in the MPI Methodological Note 50.

Please cite this document as:Oxford Poverty and Human Development Initiative (OPHI), (2020). ‘[Name of country] Country Briefing’, Multidimensional Poverty Index Data Bank. Oxford Poverty and Human Development Initiative, University of Oxford.

CoT briefings 2020

Afghanistan (AFG)Guyana (GUY)Nigeria (NGA)
Albania (ALB)Haiti (HTI)North Macedonia (MKD)
Armenia (ARM)Honduras (HND)Pakistan (PAK)
Bangladesh (BGD)India (IND)Palestine, State of (PSE)
Belize (BLZ)Indonesia (IDN)Peru (PER)
Benin (BEN)Iraq (IRQ)Philippines (PHL)
Bolivia (BOL)Jamaica (JAM)Rwanda (RWA)
Bosnia & Herzegovina (BIH)Jordan (JOR)Sao Tome and Principe (STP)
Burkina Faso (BFA)Kazakhstan (KAZ)Senegal (SEN)
Burundi (BDI)Kenya (KEN)Serbia (SRB)
Cambodia (KHM)Kyrgyzstan (KGZ)Sierra Leone (SLE)
Cameroon (CMR)Lao PDR (LAO)Sudan (SDN)
Central African Rep. (CAF)Lesotho (LSO)Suriname (SUR)
Chad (TCD)Liberia (LBR)Tajikistan (TJK)
China (CHN)Madagascar (MDG)Tanzania (TZA)
Colombia (COL)Malawi (MWI)Thailand (THA)
Congo (COG)Mali (MLI)Timor-Leste (TLS)
Congo, DR (COD)Mauritania (MRT)Togo (TGO)
Côte d’Ivoire (CIV)Mexico (MEX)Trinidad and Tobago (TTO)
Dominican Republic (DOM)Moldova (MDA)Turkmenistan (TKM)
Egypt (EGY)Mongolia (MNG)Uganda (UGA)
eSwatini (SWZ)Montenegro (MNE)Ukraine (UKR)
Ethiopia (ETH)Mozambique (MOZ)Vietnam (VNM)
Gabon (GAB)Namibia (NAM)Yemen (YEM)
Gambia (GMB)Nepal (NPL)Zambia (ZMB)
Ghana (GHA)Nicaragua (NIC)Zimbabwe (ZWE)
Guinea (GIN)Niger (NER)

Ayush Patel

Job title: Researcher
Email: Please contact ophi@qeh.ox.ac.uk

Biography

Ayush works with OPHI creating data visualization outputs and dashboards related to Multidimensional Poverty Indices (MPI). He also works on creating a guide for coding MPI using R.

His previous work involves research on rights-based laws in India and working with elected representatives and state governments for the implementation and monitoring of welfare programmes in Maharashtra, India.

Ayush is a RStudio certified tidyverse instructor and enjoys teaching data analysis skills using R.

Education

Postgraduate Diploma in Business Analytics, University of Mumbai
Postgraduate Diploma in Economics and Finance, University of Mumbai
Bachelor of Engineering, Gujarat Technological University

Research Interests

Development Economics; Multidimensional Poverty; Rights-Based Laws

Curriculum vitae

Ayush Patel’s CV (PDF)

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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

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.