Refine your search: Clear all
Featured:
Locations:
More
Formats:
More
Organisations:
More
Tags:
More
Licenses:
More
  • 90+ Downloads
    Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    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 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
  • 80+ Downloads
    Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    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 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
  • 100+ Downloads
    Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    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 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
  • 200+ Downloads
    Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    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 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
  • 100+ Downloads
    Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    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 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
  • 100+ Downloads
    Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    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 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
  • 200+ Downloads
    Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    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 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
  • 100+ Downloads
    Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    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 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
  • 100+ Downloads
    Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    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 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
  • 100+ Downloads
    Updated 5 October 2021 | Dataset date: June 16, 2021-August 04, 2021
    This dataset updates: Every year
    REACH initiative, in coordination with the Camp Coordination and Camp Management (CCCM) Cluster, conducted the XV round of Camp Profiling and the eighth round of Movement Intentions in IDP camps. Both assessments seek to understand the multi-sectoral needs of IDPs in camps, their movement intentions in the short and long term, and the barriers that IDPs face to return to their area of origin (AoO).
  • 100+ Downloads
    Updated 8 September 2021 | Dataset date: January 01, 2017-July 31, 2021
    This dataset updates: As needed
    These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, health care, refugees and IDPs to ensure staff safety and better response outcomes.
  • 30+ Downloads
    Updated 16 August 2021 | Dataset date: September 01, 2020-July 31, 2021
    This dataset updates: Every year
    Number of male and female students and their totality by educational institution, area, type of education, regime, modality, access in the period (2020-2021)
  • 20+ Downloads
    Updated 12 August 2021 | Dataset date: September 02, 2019-July 31, 2020
    This dataset updates: Every year
    Number of male and female students and their totality by educational institution, area, type of education, regime, modality, access in the period (2019-2020)
  • Updated 28 May 2021 | Dataset date: September 01, 2019-November 30, 2019
    This data is by request only
    The multi-sector assessment was carried out in the governorates of Baalbek-Hermel, Bekaa, North and Akkar to calculate the degree of Protection Risk through the elaboration of a set of composite indexes which form an Integrated Protection System of Indicators. The assessment covers 689 Informal Tent Settlements. A total of 4000 men and women participated in the questionnaires.
  • 200+ Downloads
    Updated 3 December 2020 | Dataset date: November 01, 2017-January 31, 2018
    This dataset updates: Never
    The ACU’s Information Management Unit conducted the 4th version of its annual research “Schools in Syria”, to highlight the impact of the Syrian conflict on education and the needs of students and school supplies. This is the most representative, nuanced iteration of this study to date, covering 4,079 schools within 99 sub-districts across 10 governorates, building upon 35,925 data e-forms with 31,846 forms on perception surveys. It has significant increase in the number of the functional schools addressed over its first version to the current one by 2,572 schools. Please note to be more specific as possible on the following when you request the data: Why are you requesting the data? What is the intent to use the data? What is your role? Who is the organization that you represent for?
  • 100+ Downloads
    Updated 20 March 2020 | Dataset date: December 20, 2019-December 20, 2019
    This dataset updates: Never
    Distribution of Population Age 3 years and Above by school attendance status per sub county.
  • 200+ Downloads
    Updated 20 March 2020 | Dataset date: December 20, 2019-December 20, 2019
    This dataset updates: Never
    Distribution of Population age 3 Years and Above by highest Level of Education Reached, Area of Residence and Sex per Sub-County
  • 1200+ Downloads
    Updated 3 December 2019 | Dataset date: January 01, 2017-September 30, 2019
    This dataset updates: Every month
    This dataset contains the total number of people targeted and reached per region and per cluster in Somalia.
  • Updated 11 October 2019 | Dataset date: January 22, 2018-December 14, 2018
    This data is by request only
    In 2016, REACH with the support of OFDA conducted the first area based assessment (ABA) in Ukraine focusing on access to basic services for the 100 government controlled cities and villages along the line of contact seperating the government controlled (GCA) and non government controlled areas (NGCA) of the Donetsk and Luhansk oblasts. The assessment found that access to basic services in conflict-affected areas the assessed communities had been severely disrupted due to the disconnection between peripheries of large cities Donbas and the city centers now in non-governmental controlled areas (NGCA). As a result of the seperation between GCA and NGCA, settlements along the line of contact in the GCA have reorganised themselves inward towards government controlled urban centers. The networks of communities that access basic services unit geographies in government controlled areas have adjusted to the reality of a disconnection with non-government controlled cities by accessing all services and markets in reorganizing into new basic service units surrounding cities controlled by the Ukrainian Government. Based on findings from the area based assessment (ABA), this reorganization of basic services units in Donetsk and Luhansk Oblastsbas increases pressure on administrative services, housing, education and health services due to multiple potential factors including: i) the departure of qualified personnel ii) the arrival of conflict-displaced populations iii) and the relocation of of administrative centers. In order to support effective recovery and longer-term development planning it is critical to understand how the conflict has brought new challenges to service delivery in GCA urban centers close to the line of contact, particularly with regards to the new population flows following the effective closure of large urbanized areas in the NGCA. General Objective To understand the gaps and in the provision of basic services (by service providers) and the barriers to accessing basic services (by households) in raions that have been been separated by the contact line in Donetsk and Luhansk oblasts.
  • 1000+ Downloads
    Updated 7 August 2019 | Dataset date: October 01, 2017-July 31, 2018
    This dataset updates: As needed
    The study conducted in partnership with IMMAP and funded by the Australian Government includes a literature review, quantitative data collection as well as data collection. Quantitative data was collected from 8,876 persons from 1,665 households from 5 locations in Jordan and Lebanon. In the light of the UN Convention on the Rights of Persons with Disabilities (UNCRPD), the study defined disability as interactions between personal and environmental factors. Disability was measured the level of difficulties a person faces when performing basic activities (referred as "domains") regardless of impairments, using the modified Washington Group's Extended Set (WG-ES) (more precisely, Short Set Enhanced plus fatigue) and Child Functioning Module (CFM).
  • 200+ Downloads
    Updated 28 June 2019 | Dataset date: January 24, 2019-January 24, 2019
    This dataset updates: As needed
    Pcodes and information on road closures and affected learning centres
  • 300+ Downloads
    Updated 18 December 2018 | Dataset date: January 01, 2015-December 31, 2017
    This dataset updates: Never
    This dataset highlights recent global trends regarding the impact of armed conflict on children and provides information on violations committed in 2017, as well as related protection concerns. Where possible, violations are attributed to parties to conflict and, in line with the resolutions of the Council, the annexes to the present report include a list of parties that, in violation of international law, engage in the recruitment and use of children, the killing and maiming of children, rape and other forms of sexual violence against children, attacks on schools and/or hospitals and attacks or threats of attacks against protected personnel, and the abduction of children.
  • 200+ Downloads
    Updated 27 July 2018 | Dataset date: July 27, 2018-July 27, 2018
    This dataset updates: Every year
    Using data from AOAV's explosive violence monitor, this dataset focuses on the casualties recorded from the use of explosive weapons in/on schools globally, between 2011-2017.
  • 200+ Downloads
    Updated 25 May 2018 | Dataset date: May 25, 2018-May 25, 2018
    This dataset updates: Every year
    El indicador estima el porcentaje de población adulta alfabetizada que es capaz de usar palabras escritas en la vida diaria y de continuar aprendiendo. Refleja el logro acumulado de la educación en la difusión de la alfabetización.
  • 100+ Downloads
    Updated 22 May 2018 | Dataset date: May 22, 2018-May 22, 2018
    This dataset updates: Every year
    La población que vive en la zona urbana y reside en viviendas con una o más necesidades básicas insatisfechas sea acceso a agua o de saneamiento mejorado, suficiente área de vivienda y durabilidad de la vivienda, o educación.