Oxford Poverty & Human Development Initiative

124 Datasets - 3 Members - 287 Followers - Visit Website
Datasets [124] | Archived Datasets[0] [?]
  • Niger Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2006-December 31, 2012 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
    700+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Chad Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2010-December 31, 2019 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
    600+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Central African Republic Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2010-December 31, 2019 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
    600+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Burundi Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2010-December 31, 2017 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 8 September 2020
    Less
    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)
    200+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Madagascar Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2008-December 31, 2021 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
    200+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Mali Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2006-December 31, 2018 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
    600+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Guinea Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2012-December 31, 2018 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Ethiopia Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2011-December 31, 2019 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
    1000+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Afghanistan Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2015-December 31, 2023 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 August 2020
    Less
    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)
    800+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Burkina Faso Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2010-December 31, 2021 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 8 September 2020
    Less
    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)
    700+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Guinea-Bissau Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2014-December 31, 2019 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Mozambique Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2003-December 31, 2023 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
    700+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Democratic Republic of the Congo Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2007-December 31, 2018 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
    800+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Mauritania Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2011-December 31, 2021 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Sierra Leone Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2013-December 31, 2019 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Benin Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2006-December 31, 2022 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 8 September 2020
    Less
    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)
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Angola Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2015-December 31, 2016 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 8 September 2020
    Less
    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)
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Uganda Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2011-December 31, 2016 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
    300+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Sudan Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2010-December 31, 2014 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
    700+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Papua New Guinea Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2016-December 31, 2018 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Senegal Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2005-December 31, 2019 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
    200+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Liberia Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2007-December 31, 2020 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Cameroon Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2011-December 31, 2018 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
    600+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Zambia Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2007-December 31, 2018 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
    200+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
  • Malawi Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2010-December 31, 2020 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index