Oxford poverty and human development initiative global multidimensional poverty index Cod subnational population statistics Humanitarian Datasets | Find Crisis Data

OCHA Global Subnational Population Statistics

HDX

COD 1800+ Downloads

Time Period of the Dataset [?]: January 01, 2001-December 31, 2025 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: COD - Subnational Population Statistics

Latest COD population statistics compiled at the admin level. The CSV files contain subnational p-codes, their corresponding administrative names, source organization, and reference dates where available. These are constructed from individual country level population files, which can be found using this search on HDX.

CSV

Somalia - Subnational Population Statistics

OCHA Somalia

COD 8200+ Downloads

Time Period of the Dataset [?]: January 01, 2005-September 17, 2024 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Population Statistics

The United Nations Population Fund (UNFPA) partnered with donors and UN agencies and took up the lead role to support the Somali authorities in undertaking the Population Estimation Survey (PESS) for Somalia in October 2013- March 2014. UNFPA investigated replacement or projection of this dataset in 2021. Only ADM0 (national) data was available. No better alternative is currently available. PESS gathered basic critical information on the Somalis living in urban, rural and nomadic areas (interviewed at water points during the peak of the long, dry season), and in settlements for internally displaced persons. One standard questionnaire was used in selected enumeration areas or pre-identified areas. Data was collected in three main phases: cartographic field mapping, household listing in the sampled areas, and the interviewing of households using the standard questionnaire. PESS report by UNFPA had only the population estimate at regional level (Admin level 1). With the demand to get this data disaggregated to district level to enhance assessment and in particular assessments of people in food insecure by FAO-FSNAU, the district data was interpolated using FSNAU livelihood information embedded in the 2005 UNDP district level population data The data collected in 2024 has now been endorsed for use.

XLSX
CSV

Niger Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

700+ Downloads

Time Period of the Dataset [?]: January 01, 2006-December 31, 2012 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Chad Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

600+ Downloads

Time Period of the Dataset [?]: January 01, 2010-December 31, 2019 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Central African Republic Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

600+ Downloads

Time Period of the Dataset [?]: January 01, 2010-December 31, 2019 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Burundi Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

200+ Downloads

Time Period of the Dataset [?]: January 01, 2010-December 31, 2017 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Madagascar Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

200+ Downloads

Time Period of the Dataset [?]: January 01, 2008-December 31, 2021 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Mali Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

600+ Downloads

Time Period of the Dataset [?]: January 01, 2006-December 31, 2018 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Guinea Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

100+ Downloads

Time Period of the Dataset [?]: January 01, 2012-December 31, 2018 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Ethiopia Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

1000+ Downloads

Time Period of the Dataset [?]: January 01, 2011-December 31, 2019 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Afghanistan Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

800+ Downloads

Time Period of the Dataset [?]: January 01, 2015-December 31, 2023 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Burkina Faso Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

700+ Downloads

Time Period of the Dataset [?]: January 01, 2010-December 31, 2021 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Guinea-Bissau Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

100+ Downloads

Time Period of the Dataset [?]: January 01, 2014-December 31, 2019 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Mozambique Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

700+ Downloads

Time Period of the Dataset [?]: January 01, 2003-December 31, 2023 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Democratic Republic of the Congo Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

800+ Downloads

Time Period of the Dataset [?]: January 01, 2007-December 31, 2018 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Mauritania Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

100+ Downloads

Time Period of the Dataset [?]: January 01, 2011-December 31, 2021 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Sierra Leone Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

200+ Downloads

Time Period of the Dataset [?]: January 01, 2013-December 31, 2019 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Benin Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

200+ Downloads

Time Period of the Dataset [?]: January 01, 2006-December 31, 2022 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Angola Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

100+ Downloads

Time Period of the Dataset [?]: January 01, 2015-December 31, 2016 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Uganda Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

300+ Downloads

Time Period of the Dataset [?]: January 01, 2011-December 31, 2016 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Sudan Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

700+ Downloads

Time Period of the Dataset [?]: January 01, 2010-December 31, 2014 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Papua New Guinea Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

100+ Downloads

Time Period of the Dataset [?]: January 01, 2016-December 31, 2018 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Senegal Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

200+ Downloads

Time Period of the Dataset [?]: January 01, 2005-December 31, 2019 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Liberia Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

100+ Downloads

Time Period of the Dataset [?]: January 01, 2007-December 31, 2020 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV

Cameroon Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

600+ Downloads

Time Period of the Dataset [?]: January 01, 2011-December 31, 2018 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

CSV