Oxford Poverty & Human Development Initiative

Member since 9 January 2015
Data Datasets [2] | Archived Datasets[0] [?]
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  • Kyrgyzstan Multi Dimensional Poverty Index
    Oxford Poverty & Human Development Initiative
    80+ Downloads
    Time Period of the Dataset [?]: January 01, 2005-December 31, 2018 ... More
    Modified [?]: 8 May 2025
    Dataset Added on HDX [?]: 10 September 2020
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    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
    400+ Downloads
    Time Period of the Dataset [?]: January 01, 2001-December 31, 2023 ... More
    Modified [?]: 8 May 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)