Oxford Poverty & Human Development Initiative

Member since 9 January 2015
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  • State of Palestine Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    600+ Downloads
    Time Period of the Dataset [?]: January 01, 2010-December 31, 2020 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
  • Thailand Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    200+ Downloads
    Time Period of the Dataset [?]: January 01, 2012-December 31, 2022 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
  • Kazakhstan Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    90+ Downloads
    Time Period of the Dataset [?]: January 01, 2010-December 31, 2015 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
  • Jordan Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    100+ Downloads
    Time Period of the Dataset [?]: January 01, 2012-December 31, 2018 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
  • Argentina Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    30+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-December 31, 2020 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 4 December 2024
    Less
    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)
  • Kyrgyzstan Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    70+ Downloads
    Time Period of the Dataset [?]: January 01, 2005-December 31, 2018 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
  • North Macedonia Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    60+ Downloads
    Time Period of the Dataset [?]: January 01, 2005-December 31, 2019 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 10 September 2020
    Less
    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)
  • Georgia Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 4 December 2024
    Less
    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)
  • Turkmenistan Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    100+ Downloads
    Time Period of the Dataset [?]: January 01, 2006-December 31, 2019 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
  • Ukraine Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    700+ Downloads
    Time Period of the Dataset [?]: January 01, 2007-December 31, 2012 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
  • Armenia Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    60+ Downloads
    Time Period of the Dataset [?]: January 01, 2010-December 31, 2016 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 4 December 2024
    Less
    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)
  • Serbia Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    100+ Downloads
    Time Period of the Dataset [?]: January 01, 2010-December 31, 2019 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 14 September 2020
    Less
    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)
  • Global Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    300+ Downloads
    Time Period of the Dataset [?]: January 01, 2001-December 31, 2023 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 5 November 2024
    Less
    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)
  • Mexico: subnational poverty trends
    Oxford Poverty & Human Development Initiative
    80+ Downloads
    Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More
    Modified [?]: 14 September 2023
    Dataset Added on HDX [?]: 14 September 2023
    Less
    This dataset updates: Every year
    This table contains subnational multidimensional poverty trends 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).
  • Moldova: subnational poverty
    Oxford Poverty & Human Development Initiative
    100+ Downloads
    Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More
    Modified [?]: 14 September 2023
    Dataset Added on HDX [?]: 10 September 2020
    Less
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
    This table contains 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).
  • Samoa: subnational poverty
    Oxford Poverty & Human Development Initiative
    60+ Downloads
    Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More
    Modified [?]: 14 September 2023
    Dataset Added on HDX [?]: 8 December 2022
    Less
    This dataset updates: Every year
    This table contains 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).
  • Tanzania: subnational poverty trends
    Oxford Poverty & Human Development Initiative
    200+ Downloads
    Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More
    Modified [?]: 14 September 2023
    Dataset Added on HDX [?]: 14 September 2020
    Less
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
    This table contains subnational multidimensional poverty trends 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).
  • Tonga: subnational poverty
    Oxford Poverty & Human Development Initiative
    100+ Downloads
    Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More
    Modified [?]: 14 September 2023
    Dataset Added on HDX [?]: 14 December 2021
    Less
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
    This table contains 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).
  • Lesotho: subnational poverty trends
    Oxford Poverty & Human Development Initiative
    80+ Downloads
    Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More
    Modified [?]: 14 September 2023
    Dataset Added on HDX [?]: 10 September 2020
    Less
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
    This table contains subnational multidimensional poverty trends 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).
  • Lao People's Democratic Republic: subnational poverty trends
    Oxford Poverty & Human Development Initiative
    60+ Downloads
    Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More
    Modified [?]: 14 September 2023
    Dataset Added on HDX [?]: 10 September 2020
    Less
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
    This table contains subnational multidimensional poverty trends 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).
  • Belize: subnational poverty trends
    Oxford Poverty & Human Development Initiative
    100+ Downloads
    Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More
    Modified [?]: 31 August 2023
    Dataset Added on HDX [?]: 8 September 2020
    Less
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
    This table contains subnational multidimensional poverty trends 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).
  • Costa Rica: subnational poverty
    Oxford Poverty & Human Development Initiative
    90+ Downloads
    Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More
    Modified [?]: 31 August 2023
    Dataset Added on HDX [?]: 14 December 2021
    Less
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
    This table contains 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).
  • Bolivia: subnational poverty trends
    Oxford Poverty & Human Development Initiative
    100+ Downloads
    Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More
    Modified [?]: 31 August 2023
    Dataset Added on HDX [?]: 8 September 2020
    Less
    This dataset updates: Every year
    This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index
    This table contains subnational multidimensional poverty trends 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).
  • Argentina: subnational poverty
    Oxford Poverty & Human Development Initiative
    80+ Downloads
    Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More
    Modified [?]: 30 August 2023
    Dataset Added on HDX [?]: 8 December 2022
    Less
    This dataset updates: Every year
    This table contains 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).