Global MPI 2025
The 2025 global Multidimensional Poverty Index (MPI) uses the most recent comparable data available for 109 countries – 21 low-income countries, 45 lower middle-income countries, 39 upper middle-income countries, and 4 high-income countries. These countries are home to 6.3 billion people, about 92% of the population in developing regions, and of these 1.1 billion people (18.3%) are poor. Global MPI values, incidence and intensity of poverty, and component indicators are disaggregated for 1,359 subnational regions for 101 countries, as well as by age group, rural-urban area and gender of the household head.
The 2025 global MPI provides updated estimates for 13 countries: Azerbaijan (2023), Bangladesh (2022), Bolivia (2023), Jordan (2023), Kyrgyzstan (2023), Lao PDR (2023), Lesotho (2023–24), Mexico (2023), Nauru (2023), Niger (2021), Peru (2023), Senegal (2023), and Vanuatu (2023).
In Table 6, we publish harmonised estimates for 88 countries using data from 2001 to 2023–24, which provide results for trends over time. Forty have harmonised data for two points in time, 35 countries have trends data for three points in time, nine have data for four points in time, one (Ghana) has data for five points in time and three countries (Mexico, Nepal and Peru) have trends data for six points in time.
Our Joint Report
The 2025 global MPI report Overlapping Hardships: Poverty and Climate Hazards is produced in partnership with OPHI and the Human Development Report Office of the United Nations Development Programme (UNDP). Our analysis overlays MPI poverty data in developing regions with four climate hazards – high heat, drought, flooding and air pollution – to provide the first global analysis of multidimensional poverty and the environment. Overall, the findings clearly point to the close relationships between poverty reduction and climate action and the complementarity of these agendas.
Citation: OPHI and UNDP (2025). Global Multidimensional Poverty Index 2025 – Overlapping Hardships: Poverty and Climate Hazards, Oxford Poverty and Human Development Initiative (OPHI) and United Nations Development Programme (UNDP).
Our Data
The 2025 global MPI results are presented in eight Data Tables. Data Table 1 presents MPI country (national) results using the most recent DHS, MICS and national survey data from 109 countries, covering 6.3 billion people. The country (national) estimates are jointly produced by OPHI and UNDP’s Human Development Report Office (HDRO). Please refer to OPHI MPI Methodological Note 61 for the core methodology and country specifications.
In addition, the OPHI team produces an additional set of Data Tables (Tables 2–8). These include selected auxiliary statistics, including standard errors of key estimates. Data Table 2 presents estimations for multiple poverty cut-offs as a measure of robustness. The MPI and its partial indices are also disaggregated by several different population groups: age groups (Data Table 3), rural and urban areas (Data Table 4), subnational regions (Data Table 5) and gender of household head (Data Table 7). The disaggregated MPI results shared in these tables show the importance of going beyond national averages to identify important variations across population groups. Please refer to OPHI MPI Methodological Note 62 for OPHI’s disaggregation methodology and policies.
Data Table 6 presents trends over time in 88 countries using data from 2001 to 2023–24. Data Table 6 also contains disaggregated results of the extent to which poverty has changed over time for age groups, rural and urban areas, and for 882 subnational regions. Please refer to OPHI MPI Methodological Note 63 for trends over time methodology and country harmonisation details.
Finally, Data Table 8 presents all global MPI country (national) results published since 2010.
Our Country Briefings
The 2025 global MPI Country Briefings present the country-specific results for the countries in this year’s global MPI.
Documentation
The OPHI MPI Methodological Notes series is a technical paper series that provides details of the global MPI methodology and transparently documents the decisions made for each country dataset. An MPI Methodological Note is published for every global MPI release. MPI Methodological Notes are published with an accompanying set of data tables and, starting from 2018, Stata do-files.
A Research in Progress paper is published on ‘Measuring the overlap between climate hazards and multidimensional poverty: A global subnational assessment’ providing the background research on the thematic analysis of this year's report.
Technical Files
Our data preparation do-files allow you to generate the global MPI indicators from the microdata. This is the first technical step. Microdata are household surveys produced by specific survey providers such as DHS and MICS.
The technical files (or Stata do-files) for each country survey can be downloaded below. Please refer to OPHI’s Methodological Note series for information on survey details.
The do-files used for the purpose of generating the global MPI indicators are open access under the Oxford Academic license.
Download the technical files (or Stata do-files) for each country survey
Do-files as a zip package
The global MPI estimates are produced using the Stata package 'mpitb' by Nicolai Suppa. This is the second technical step. The package produces estimations by national, by population subgroups, e.g. age groups, rural and urban areas, subnational regions and supports the estimation of levels and change between time periods. 'mpitb' simplifies estimations and analyses in cross-country settings.
The package is available at the Statistical Software Components (SSC) Archive and on gitlab. The MPI toolbox is distributed free of charge under an MIT license. The package may be installed by issuing 'ssc install mpitb' in Stata. To access its comprehensive help files, issue 'help mpitb' after the installation. 'mpitb' requires Stata 16 or higher.
Our global MPI Databank

Browse through our databank to view the global MPI data in different ways and use it in briefings, teaching or presentations. This web application allows the user to explore the GMPI data through interactive graphics. Users can see the spatial spread of multidimensional poverty, its intensity and headcount. The application presents comparisons at global and country and subnational level. The databank is only available for the latest annual release.
Source: Global Multidimensional Poverty Index (MPI) Databank 2025 developed by Ayush Patel using data by Alkire, Mishra, Selden and Suppa (OPHI MPI Methodological Notes 61 and 62).
The Global Multidimensional Poverty Index (MPI) Databank is hosted on the Interactive Data Network (IDN), University of Oxford shinyapps.io account.
Events
News
OPHI and UNDP Press Release
- English: New Global Multidimensional Poverty Index Report Reveals Nearly 80% of the World's Poor Live in Regions Exposed to Climate Hazards
- French: Un nouveau rapport sur l’indice mondial de pauvreté multidimensionnelle révèle que près de 80 % des personnes pauvres dans le monde vivent dans des régions exposées aux aléas climatiques
- Spanish: El nuevo informe sobre el Índice de Pobreza Multidimensional global revela que casi el 80 % de las personas pobres del mundo viven en regions expuestas a amenazas climáticas
UN Story
- Arabic: تقرير أممي: 80% من فقراء العالم يعيشون في مناطق معرضة لمخاطر مناخية
- Chinese: 全球近八成贫困人口面临气候危机,亟需全球行动
- English: Groundbreaking report reveals powerful link between poverty and the climate crisis
- French Des centaines de millions de pauvres dans le monde sont exposés aux chocs climatiques
- Hindi विश्व की 80 फ़ीसदी निर्धन आबादी, जलवायु सम्बन्धी जोखिमों के साए में - UNDP
- Kiswahili Ripoti mpya yaoanisha umaskini na madhara ya mabadiliko ya tabianchi- Watu milioni 887 wadhurika
- Portuguese Relatório revela que crise climática afeta 80% das pessoas que vivem na pobreza
- Russian Двойной удар: почти 900 миллионов человек страдают от крайней бедности и климатических угроз
- Spanish La pobreza se agrava cada vez más a causa de la crisis climática
- Urdu غربت اور موسمیاتی بحران کے درمیان تعلق پر تہلکہ خیز رپورٹ کا اجراء
- Vietnamese | Gần 80% người nghèo trên thế giới đang sinh sống tại khu vực chịu rủi ro khí hậu - theo Báo cáo Chỉ số Nghèo đa chiều toàn cầu mới nhất
Oxford and UNDP news
- UNDP News Feature | Poverty & Climate Hazards: How overlapping crises create more hardship for hundreds of millions
- University of Oxford | Global Multidimensional Poverty Index report reveals 80% of the world's poor exposed to climate hazards
- OPHI News | Nearly 80% of the World's Poor Live in Regions Exposed to Climate Hazards
- OPHI News | Discussing people and planet: speakers reflect on the findings of the 2025 global MPI report
- ODID Blog | Climate action must leave no one behind
- ODID Blog | Can Hurricane Melissa lead us to real change at COP30?
- UNDP Blog | The high and hidden cost of air pollution
Media coverage highlights
- Media round up: Global MPI 2025 launch
- UN News | Groundbreaking report reveals powerful link between poverty and the climate crisis
- Project Syndicate | Can Humanity Fix What It Has Broken?
- France 24 | Nearly 900 mn poor people exposed to climate shocks, UN warns
- Deutsche Welle (DW) | Arme leiden am meisten unter Klimagefahren
- Estadão | Cerca de 900 milhões de pessoas pobres estão expostas a perigos climáticos, alerta ONU
- Bloomberg News | UN Says Poor Nations Will Get Hotter Faster Than Rich Ones
- Euronews Green | ‘Leaving the world’s poorest behind’: Nearly 900 million poor people face climate shocks, says UN
- Österreichischer Rundfunk (ORF) | 887 Mio. Menschen in Armut sind Klimarisiken ausgesetzt
- Rádio e Televisão de Portugal (RTP) | Quase oito em cada 10 pobres expostos ao impacto das alterações climáticas
- OECD Development Matters | Why fighting poverty means tackling climate change head-on
- Reliefweb | Global Multidimensional Poverty Index 2025 - Overlapping Hardships: Poverty and Climate Hazards
- Los Angeles Times | Más de 1.000 millones de personas viven en pobreza extrema, afirma ONU
- Delfino | ¿Por qué medir la pobreza de forma multidimensional puede mejorar la protección social?
- Statistica | The Multiple Dimensions of Poverty
- Human Rights Research | Reframing Climate Change as a Human Rights Crisis
- China Daily | Global poverty relief entails collaboration: China Daily editorial
COP30 news