• Updated 10 September 2020 | Dataset date: July 08, 2020-July 10, 2021
    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 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
    30+ Downloads
    This dataset updates: Every year
  • Updated 8 September 2020 | Dataset date: July 08, 2020-July 10, 2021
    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 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
    100+ Downloads
    This dataset updates: Every year
  • Updated 8 September 2020 | Dataset date: July 08, 2020-July 10, 2021
    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 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
    70+ Downloads
    This dataset updates: Every year
  • Updated 8 September 2020 | Dataset date: July 08, 2020-July 10, 2021
    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 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
    20+ Downloads
    This dataset updates: Every year
  • Updated 8 September 2020 | Dataset date: July 08, 2020-July 10, 2021
    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 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
    100+ Downloads
    This dataset updates: Every year
  • Updated 8 September 2020 | Dataset date: July 08, 2020-July 10, 2021
    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 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
    80+ Downloads
    This dataset updates: Every year
  • Updated 8 September 2020 | Dataset date: July 08, 2020-July 10, 2021
    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 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
    40+ Downloads
    This dataset updates: Every year
  • Updated 8 September 2020 | Dataset date: July 08, 2020-July 10, 2021
    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 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
    70+ Downloads
    This dataset updates: Every year
  • Updated 8 September 2020 | Dataset date: July 08, 2020-July 10, 2021
    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 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
    30+ Downloads
    This dataset updates: Every year
  • Updated 8 September 2020 | Dataset date: July 08, 2020-July 10, 2021
    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 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
    100+ Downloads
    This dataset updates: Every year
  • Updated 8 September 2020 | Dataset date: July 08, 2020-July 10, 2021
    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 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
    40+ Downloads
    This dataset updates: Every year
  • Updated 1 June 2020 | Dataset date: December 31, 2019-December 31, 2019
    Multidimensional Poverty Index for Nigeria
    100+ Downloads
    This dataset updates: As needed
  • Updated 18 May 2020 | Dataset date: September 20, 2018-September 20, 2018
    Human Development Indices and Indicators: 2018 Statistical update is being released to ensure consistency in reporting on key human development indices and statistics. With its comprehensive statistical annex, our data gives an overview of the state of development across the world, looking at long-term trends in human development indicators across multiple dimensions and for every nation, the 2018 Update highlights the considerable progress, but also the persistent deprivations and disparities.
    200+ Downloads
    This dataset updates: Never
  • Percentage of children (aged 36-59 months) developmentally on track in at least 3 of the 4 following domains: literacy-numeracy, physical, social-emotional and learning
    10+ Downloads
    This dataset updates: Every year
  • Updated 17 February 2020 | Dataset date: June 01, 2019-December 31, 2019
    Beyond income, beyond averages, beyond today: Inequalities in Human Development in the 21st Century
    200+ Downloads
    This dataset updates: Every year
  • Updated 10 November 2019 | Dataset date: June 14, 2019-June 14, 2019
    This dataset contains CSV files on response progress monitoring for each of the WASH sector indicators in the response to the crisis in north eastern Nigeria. Each file has 4 data columns representing the achievements for that indicator categorized as either Humanitarian, Nexus and Development (or both). The fourth column lists the overall achievement. Data contained in each file is at LGA level and a reference column is included in each file with the Admin2 P-Codes, with respect to water adequacy, desludging, household sanitation, hygiene kits, hygiene promotion, operation and maintenance of water points, sanitation activities in institutions (schools, health facilities, safe spaces, CMAN sites) and water activities in institutions and waste management.
    70+ Downloads
    This dataset updates: Every month
  • Artisanal mining site visits in the Runde river valley, Zimbabwe
    10+ Downloads
    This dataset updates: As needed
  • Updated 6 August 2018 | Dataset date: April 16, 2018-April 16, 2018
    MEAE development assistance data - updated April 2018. This dataset relates to the development aid projects of the Ministry of Europe and Foreign Affairs implemented by the Cooperation and Cultural Action Services in several countries receiving aid. The data will be updated quarterly and comply with the IATI (International Aid Transparency Initiative) standard.
    400+ Downloads
    This dataset updates: Never
  • Updated 30 January 2018 | Dataset date: May 02, 2016-May 02, 2016
    Índice de Desarrollo Humano (IDH) de Guatemala 2005.
    100+ Downloads
    This dataset updates: Every year
  • Updated 1 September 2015 | Dataset date: January 01, 2008-January 01, 2008
    Poverty Index Percentage of person living below the poverty line, estimated at 370USD/y, almost 129.600 UM in 2008 (PPP)
    100+ Downloads
    This dataset updates: Every year
  • Updated 1 September 2015 | Dataset date: January 01, 2012-January 01, 2012
    2011 HDI Comparision The dataset represents the 2011 Human Development Index of Mauritania.
    100+ Downloads
    This dataset updates: Every year