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  • 60+ Downloads
    Time Period of the Dataset [?]: May 11, 2023-March 28, 2024 ... More
    Modified [?]: 11 May 2023
    Dataset Added on HDX [?]: 11 May 2023
    This dataset updates: Every year
    Emergency GIS union of the Bangladesh - Subnational Administrative Boundaries administrative level 2 (district or "zila") features and Myanmar District Boundaries MIMU v9.3 administrative level 2 (district) features - shapefile and gazetteer.
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More
    Modified [?]: 10 May 2023
    Dataset Added on HDX [?]: 10 May 2023
    This dataset updates: Every year
    2.8M People Reached 149 Implementing Partners
  • 40+ Downloads
    Time Period of the Dataset [?]: May 05, 2023-May 05, 2023 ... More
    Modified [?]: 10 May 2023
    Dataset Added on HDX [?]: 10 May 2023
    This dataset updates: Every year
    Ce jeu de données, désagrégé au niveau administratif 3, donne la liste des établissements scolaire en Centrafrique ainsi que leurs statuts.
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2023-March 31, 2023 ... More
    Modified [?]: 9 May 2023
    Dataset Added on HDX [?]: 4 May 2023
    This dataset updates: Every six months
    This dataset is part of the data series [?]: OCHA Afghanistan - Who does What Where
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 40+ Downloads
    Time Period of the Dataset [?]: May 08, 2023-March 28, 2024 ... More
    Modified [?]: 8 May 2023
    Dataset Added on HDX [?]: 8 May 2023
    This dataset updates: As needed
    These data were produced by WorldPop at the University of Southampton. These data include gridded estimates of population at approximately 100m and 1km for 2022, along with estimates of the number of people belonging to individual age-sex groups. These results were produced using subnational population estimates for Sudan in 2022 provided in the Common Operational Dataset on Population Statistics (COD-PS) and built-up surfaces/volumes covariates extracted from GHSL datasets; GHS-BUILT-Surface epoch 2020 layer , combined with Digitize Africa building footprints, were used to delineate settled areas. The constrained and unconstrained top-down disaggregation method was used to produce the datasets, i.e. population was only estimated within areas classified as containing built settlement. The modelling work and geospatial data processing was led by Bondarenko M. and Leasure D.R.. Oversight was provided by Tatem A.J. For further details, please, read the Release Statement. Recommended citations Bondarenko M., Leasure D.R., and Tatem A.J. 2023 Gridded population estimates for Sudan using UN COD-PS estimates 2022, version 2.0. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00761 License These data may be distributed using a Creative Commons Attribution 4.0 International (CC BY 4.0) License, specified in legal code. Contact release@worldpop.org for more information. The authors followed rigorous procedures designed to ensure that the used data, the applied method and thus the results are appropriate and of reasonable quality. If users encounter apparent errors or misstatements, they should contact WorldPop at release@worldpop.org. WorldPop, University of Southampton, and their sponsors offer these data on a "where is, as is" basis; do not offer an express or implied warranty of any kind; do not guarantee the quality, applicability, accuracy, reliability or completeness of any data provided; and shall not be liable for incidental, consequential, or special damages arising out of the use of any data that they offer.
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More
    Modified [?]: 5 May 2023
    Dataset Added on HDX [?]: 30 November 2021
    This dataset updates: Never
    Full dataset of the RMRP 2022, Activities, Partners, People in Need, Population projections 2022, target with full age gender breakdown, population type at Admin 1 level. Official R4V data page: https://www.r4v.info/en/data More info on the Activity Explorer https://bit.ly/activityexplorer2022 and RMRP Insight 2022 https://bit.ly/insight2022
  • 40+ Downloads
    Time Period of the Dataset [?]: March 31, 2023-April 27, 2023 ... More
    Modified [?]: 5 May 2023
    Dataset Added on HDX [?]: 26 April 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: IOM - DTM Site and Location Assessment
    A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
  • Time Period of the Dataset [?]: January 01, 2022-March 28, 2024 ... More
    Modified [?]: 2 May 2023
    Dataset Added on HDX [?]: 10 October 2022
    This data is by request only
    A tool used to track movements of new displacement to IDP sites across Somalia. The tool tracks new arrivals in IDP sites managed by CCCM Cluster partners.
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 2 May 2023
    Dataset Added on HDX [?]: 14 December 2022
    This data is by request only
    The Somali Health and Demographic Survey (SHDS) is the first of its kind conducted in Somalia. The survey provides valid, reliable and representative national and sub-national data, on mortality, fertility, birth spacing, maternal and child health, nutrition and gender-based violence. This data is critical to the development of sound national and sub-national evidence-based policy, to effective planning and service delivery, and to the monitoring and evaluation of performance by service providers and development projects and programmes. You can get the microdata at https://microdata.nbs.gov.so/index.php/catalog/50/study-description Please consult the official informs: Somalia and Somaliland Sample design The sample for the SHDS was designed to provide estimates of key indicators for the country as a whole, for each of the eighteen pre-war geographical regions, which are the country’s first-level administrative divisions, as well as separately for urban, rural and nomadic areas. With the exception of Banadir region, which is considered fully urban, each region was stratified into urban, rural and nomadic areas, yielding a total of 55 sampling strata. All three strata of Lower Shabelle and Middle Juba regions, as well as the rural and nomadic strata of Bay region, were completely excluded from the survey due to security reasons. A final total of 47 sampling strata formed the sampling frame.
  • Time Period of the Dataset [?]: May 21, 2018-May 21, 2018 ... More
    Modified [?]: 2 May 2023
    Dataset Added on HDX [?]: 12 November 2018
    This data is by request only
    This dataset contains the percentage of population using Cellular Phones by province, 2015-2016. This data, derived from the National Socio-Economic Survey (SUSENAS March) that published through the People’s Welfare Statistic report by BPS. The data is available at province level (Admin 1) and downloadable in MS. Excel (XLS) format: https://www.bps.go.id/dynamictable/2018/05/21/1348/proporsi-individu-yang-menggunakan-telepon-genggam-2015---2016.html
  • Time Period of the Dataset [?]: July 01, 2019-September 30, 2019 ... More
    Modified [?]: 2 May 2023
    Dataset Added on HDX [?]: 8 October 2019
    This data is by request only
    The dataset contains the full data collected in the field related to energy access. The assessment used the "Beyond Connection" methodology, developed by ESMAP (World Bank). The full sample is based on 210 interviews at the household level in 68 different communities within the Hebron Governorate. All the households are in Area C. As soon the data are fully analyzed, an open version will be released.
  • 70+ Downloads
    Time Period of the Dataset [?]: November 30, 2020-December 31, 2022 ... More
    Modified [?]: 27 April 2023
    Dataset Added on HDX [?]: 30 November 2020
    This dataset updates: As needed
    Base que contiene información al mes de septiembre acerca de la oferta laboral registradas y colocados. Demanda laboral por tipo de vacantes y por departamento a dos y tres dígitos. Además se muestran datos de la oferta laboral de aplicadas por migrantes venezolanos.
  • 100+ Downloads
    Time Period of the Dataset [?]: September 15, 2021-September 30, 2021 ... More
    Modified [?]: 27 April 2023
    Dataset Added on HDX [?]: 8 September 2022
    This dataset updates: As needed
    This dataset come from a special round of Twaweza’s Sauti za Wananchi mobile phone panel survey. The dataset was creating through random sampling from a database of contacts from previous surveys to establish a national representative panel of the country’s population. The data was collected from 3,000 respondents in the fifth round of the special Sauti za Wananchi panel, conducted between September 11 and 24, 2021. The dataset contain information related to citizens’ knowledge, attitudes and practices on matters relating to taxation, state of the country and matters relating to owning and running a business in Kenya.
  • COD 500+ Downloads
    Time Period of the Dataset [?]: September 10, 2014-March 28, 2024 ... More
    Modified [?]: 26 April 2023
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Infrastructure
    The geodata represents the roads network in Bamako, Mali. The data is provided by MINUSMA GIS.
  • 30+ Downloads
    Time Period of the Dataset [?]: September 30, 2009-February 29, 2020 ... More
    Modified [?]: 26 April 2023
    Dataset Added on HDX [?]: 13 March 2023
    This dataset updates: Every week
    This dataset is part of the data series [?]: IFRC - Appeals
    The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity. We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways. There is also a global dataset.
  • 90+ Downloads
    Time Period of the Dataset [?]: April 25, 2023-March 28, 2024 ... More
    Modified [?]: 25 April 2023
    Dataset Added on HDX [?]: 25 April 2023
    This dataset updates: As needed
    El presente documento tiene como propósito presentar de manera específica un diagnóstico territorial en capacidades y necesidades en el manejo de la analítica de información para en los Grupos Locales de Educación en Emergencia (GLE) en los departamentos de Arauca, Atlántico, Chocó , La Guajira, Magdalena, Nariño y Norte Santander con sus Entidades Territoriales Certificadas en Educación. Como insumo para la realización de este documento se utilizaron los resultados del estudio desarrollado durante 2020, así como la ruta metodológica propuesta para la recolección y análisis del proceso, “Diagnóstico de capacidades y necesidades en el manejo de la información y analítica de la información del Clúster de Educación y Sector de Educación en Colombia”, desarrollado por iMMAP en asocio con UNICEF Colombia. El propósito principal del estudio se concentró en promover el conocimiento y diagnosticar el nivel de información, percepciones, conocimiento, actitudes, prácticas y experiencias y necesidades de las personas encargadas o involucradas en el flujo y manejo de información de las organizaciones pertenecientes al Clúster/ Sector.
  • 100+ Downloads
    Time Period of the Dataset [?]: December 31, 2020-December 31, 2020 ... More
    Modified [?]: 25 April 2023
    Dataset Added on HDX [?]: 25 April 2023
    This dataset updates: Every year
    Percentage of children under age 5 by nutritional status according to three anthropometric indices: weight for age, height for age, and weight for height, Palestine, 2019-2020
  • COD+ 7200+ Downloads
    Time Period of the Dataset [?]: June 23, 2020-March 28, 2024 ... More
    Modified [?]: 20 April 2023
    Dataset Added on HDX [?]: 2 February 2018
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Mexican administrative level 0 (country), 1 (estado), and 2 (municipio) boundary polygons The OCHA Regional Office for Latin America and the Caribbean determined in December 2023 that this COD-AB is up to date. These administrative population statistics tables are suitable for database or GIS linkage to the Mexico - Subnational Population Statistics.
  • 30+ Downloads
    Time Period of the Dataset [?]: March 31, 2023-March 31, 2023 ... More
    Modified [?]: 19 April 2023
    Dataset Added on HDX [?]: 19 April 2023
    This dataset updates: Every three months
    This data is about the internally displaced persons (IDPs)
  • 100+ Downloads
    Time Period of the Dataset [?]: April 13, 2023-April 13, 2023 ... More
    Modified [?]: 18 April 2023
    Confirmed [?]: 18 April 2023
    Dataset Added on HDX [?]: 18 April 2023
    This dataset updates: Every three months
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working and what they are doing in order to identify gaps and plan for future humanitarian response. This dataset includes a list of humanitarian organizations operating in Palestine at Admin 2.
  • COD+ 100+ Downloads
    Time Period of the Dataset [?]: April 17, 2023-March 28, 2024 ... More
    Modified [?]: 17 April 2023
    Dataset Added on HDX [?]: 17 April 2023
    This dataset updates: Every year
    This dataset is part of the data series [?]: OCHA - Subnational Edge-matched Administrative Boundaries
    Malawi administrative level 0-3 boundaries, gazetteer, and geoservice. COD-EM datasets do not replace the authoritative COD-AB available here; however COD-EM datasets may be preferred for cartographic purposes. See caveats. These shapefiles are suitable for database or ArcGIS linkage to the Malawi - Subnational Population Statistics tables. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
  • 10+ Downloads
    Time Period of the Dataset [?]: December 01, 2022-December 03, 2022 ... More
    Modified [?]: 17 April 2023
    Dataset Added on HDX [?]: 17 April 2023
    This dataset updates: As needed
    Community Townwatching (Tamsui District) for pre-disaster preparation at December 2nd, 2023
  • 10+ Downloads
    Time Period of the Dataset [?]: April 06, 2023-April 08, 2023 ... More
    Modified [?]: 17 April 2023
    Dataset Added on HDX [?]: 17 April 2023
    This dataset updates: As needed
    Community twon-watching walkthrough (Zhonghe District) for pre-disaster preparation, April 7th, 2023.
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 17 April 2023
    Dataset Added on HDX [?]: 30 May 2022
    This dataset updates: Every year
    This dataset is part of the data series [?]: IDMC - Internally displaced persons
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.
  • 70+ Downloads
    Time Period of the Dataset [?]: January 01, 2008-December 31, 2021 ... More
    Modified [?]: 17 April 2023
    Dataset Added on HDX [?]: 7 June 2022
    This dataset updates: Every year
    This dataset is part of the data series [?]: IDMC - Internally displaced persons
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.