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Central America Length of Water Infrastructure by ACH-GIS4Tech

100+ Downloads

Time Period of the Dataset [?]: January 01, 2020-May 14, 2025 ... More

This dataset updates: As needed

This indicator shows the length of natural and artificial watercourses per municipality area, based on information from 4 typologies (canals, streams, riverside and rivers). Source: OpenStreetMap. Categorized by country, department and municipality. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform: https://predisan.gis4tech.com/ca4

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

Zambia Multi Dimensional Poverty Index

Oxford Poverty & Human Development Initiative

200+ 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