• The "GRID3 DRC Health Zone and Health Area Boundaries - Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Provinces, Version 01" dataset consists of health area boundary polygons with names and attributes in the provinces of Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami in the Democratic Republic of the Congo (DRC). To conduct this work, the Center for International Earth Science Information Network (CIESIN) at Columbia University engaged with the mandated authorities in the DRC’s Ministry of Health who support data collection and development for vaccination planning. Local healthcare workers were also directly involved in the mapping of the health catchment area boundaries at participatory events coordinated with in-country provincial coordinators and mappers, and in the collection of data in the field from January to July 2021. This work is part of the GRID3 Mapping for Health in the DRC project. Supported by Gavi through its INFUSE initiative, GRID3 Mapping for Health is a Ministry of Health initiative delivered in partnership with Flowminder and CIESIN (Columbia University), in collaboration with WorldPop at the University of Southampton, the Kinshasa School of Public Health, UNFPA, UNOPS, and Novel-T. GRID3 Mapping for Health is a continuation of previous work conducted and/or supported in the DRC by the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The dataset consists of one layer: health catchment area polygon data and a table with the field descriptions for the layers. Filename: GRID3_DRC_health_catchment_area_boundaries_V01.gdb The following layers are included in the gdb: GRID3_DRC_health_catchment_zone_boundaries_5_prov_V01 GRID3_DRC_health_catchment_area_boundaries_5_prov_V01 Extent: Democratic Republic of the Congo: Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami provinces. Dataset citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of Congo, 2022. GRID3 DRC Health Zone and Health Area Boundaries - Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Provinces Version 01. Palisades NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/hzrd-yq54. Accessed DAY MONTH YEAR.
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    This dataset updates: As needed
  • Updated 29 June 2022 | Dataset date: June 29, 2022-July 03, 2022
    Cameroon administrative level 0-3 sex and age disaggregated projected 2022 population statistics REFERENCE YEAR 2022 These tables are suitable for database or GIS linkage to the Cameroon - Subnational Administrative Boundaries layers using the ADM0, and ADM1_PCODE fields.
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    This dataset updates: Every year
  • Updated 29 June 2022 | Dataset date: February 24, 2022-July 03, 2022
    Data collected by the OCHA/UNDP Connecting Business initiative (CBi) on cash and in-kind donations made by private sector entities (corporations and corporate-affiliated foundations) to help support the the humanitarian response in Ukraine. This data is used to power the Ukraine Private Sector Donations Tracker, available at bit.ly/Biz4UkraineTracker.
    500+ Downloads
    This dataset updates: Every week
  • Updated 29 June 2022 | Dataset date: September 01, 2017-September 30, 2021
    The dataset contains number of IDPs, Returnees (households and individuals) at sub national levels. Their place of origin and date. The dataset also has sectoral needs information e.g. Shelter, Education etc.
    1000+ Downloads
    This dataset updates: Never
  • Updated 29 June 2022 | Dataset date: February 13, 2019-July 03, 2022
    Nepal administrative levels 0-2 sex and age disaggregated projected 2022 population statistics REFERENCE YEAR: 2022 These CSV tables are suitable for database or GIS linkage to the Nepal - Subnational Administrative Boundaries polygon shapefiles using the ADM0, ADM1, and ADM2_Pcode fields.
    3200+ Downloads
    This dataset updates: Every year
  • Updated 29 June 2022 | Dataset date: April 01, 2021-June 27, 2022
    This dataset contains the number of confirmed cases, recoveries and deaths by Governorate due to the Coronavirus pandemic in Palestine.
    400+ Downloads
    This dataset updates: Every week
  • Updated 29 June 2022 | Dataset date: June 19, 2022-June 19, 2022
    This dataset lists all contributions made by donors to the Central Emergency Response Fund (CERF). CERF receives broad support from United Nations Member States, observers, regional governments and international organizations, and the private sector, including corporations, non-governmental organizations and individuals.
    100+ Downloads
    This dataset updates: Every week
  • Updated 29 June 2022 | Dataset date: December 14, 2021-December 14, 2021
    Topline figures dataset for the Central Emergency Response Fund's organisation page
    70+ Downloads
    This dataset updates: Every week
  • Updated 29 June 2022 | Dataset date: June 18, 2022-June 18, 2022
    This dataset lists project funding allocations from OCHA's Central Emergency Response Fund (CERF). CERF allocations are made to ensure a rapid response to sudden-onset emergencies or to rapidly deteriorating conditions in an existing emergency and to support humanitarian response activities within an underfunded emergency.
    200+ Downloads
    This dataset updates: Every week
  • Updated 29 June 2022 | Dataset date: January 01, 1997-June 24, 2022
    A weekly dataset providing the total number of reported civilian targeting events and fatalities broken down by country. Civilian targeting events include violence against civilians events and explosions/remote violence events in which civilians were directly targeted. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
    300+ Downloads
    This dataset updates: Every week
  • Updated 28 June 2022 | Dataset date: January 01, 2022-March 31, 2022
    Esta base contiene el reporte de actividades por parte de socios para el Clúster Global de Seguridad Alimentaria para primer trimestre 2022 en Colombia
    This dataset updates: As needed
  • Updated 28 June 2022 | Dataset date: February 17, 2021-March 03, 2021
    In partnership with Yale, Meta launched a climate change opinion survey that explores public climate change knowledge, attitudes, policy preferences, and behaviors. The 2022 survey includes respondents from nearly 200 countries and territories. We are sharing country level data from this survey, providing policymakers, research institutions, and nonprofits with an international view of public climate change opinion. For more information please see https://dataforgood.facebook.com/dfg/tools/climate-change-opinion-survey If you're interested in becoming a research partner and accessing record level data, please email dataforgood@fb.com.
    500+ Downloads
    This dataset updates: Every year
  • Updated 28 June 2022 | Dataset date: January 01, 2022-March 31, 2022
    Estos conjuntos de datos contienen información a nivel municipal de casos de homicidios, feminicidios, presunto delito sexual y violencia de pareja ocurridos en Colombia entre el 1 de enero y el 31 de marzo del 2022. La información es desagregada por edad, sexo de la víctima y presunto agresor (para el caso de presuntos delitos sexuales). La fuente de estos datos son los reportes de lesiones de causa externa registradas por el Instituto Nacional de Medicina Legal.
    20+ Downloads
    This dataset updates: As needed
  • Updated 28 June 2022 | Dataset date: January 01, 2020-December 31, 2020
    This shapefile contains the spatialized school age population grid by comunal section (administrative level 3) for Haiti in 2020. It was constructed using unconstrained spatialized age and sex population estimates for 2020 by WorldPop, by applying the methodology published by IIEP-UNESCO (2021). The shapefile contains information for Female, Male, and Total, for Pre-primary, Primary, Lower Secondary, and Upper secondary, reconstructed from single years of age using ISCED information on starting age and duration included in UIS. Finally, the estimations are adjusted so that totals match the UN population estimates prepared by the United Nations Population Division. The boundaries used for the clipping of the resulting calculations came from the Centre National de l'Information Géo-Spatiale (CNIGS), shared through HDX. Disclaimer: The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of UNESCO or IIEP concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. UNESCO or IIEP are not responsible for the use given to this information.
    This dataset updates: Never
  • The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 25 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every four months, depending on seasonality). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. As the system is developed, the information collected and analyzed is being used to guide strategic decisions, to design programmes and to inform analytical processes such as the Integrated Phase Classification (IPC) and the Humanitarian Needs Overview (HNO). At the core of the system is a standardized household questionnaire administered to around 100,000 households across the 25 countries. Standardization permits comparisons across time and space, considerably enhancing the utility of the data for decision makers. At minimum the household data are representative at Admin 1 level (e.g. province, or region) and in some cases at Admin 2 level (e.g. district). Core funding for this initiative comes from the United States Agency for International Development (USAID). The initiative also benefits from support from the European Union and FAO’s Special Fund for Emergency and Rehabilitation (SFERA). The contents of the work are the sole responsibility of FAO and do not necessarily reflect the views of USAID, the United States Government or the European Union. On the Hub Homepage ( https://data-in-emergencies.fao.org/ ) it is possible to create an account and explore/download aggregated data related to the following thematic areas: 1) Incomes and shocks 2) Crop Production 3) Livestock Production 4) Food Security 5) Needs Aggregated datasets are generated from household interviews performed after August 2021. At every new survey data release, after cleaning and validation phases, aggregated data is appended to the present datasets. In each aggregated field, the values indicate the frequencies of the different responses, expressed as a weighted percentage of the total sample.
    This data is by request only
  • UNOSAT code: EQ20220622AFG This map illustrates potentially damaged structures/buildings in the northern part of Spera district, Khost province of Afghanistan as detected by Worldview-3 image acquired on 23 June 2022. Within the analyzed area, UNOSAT has identified 170 damaged buildings and 3 road obstacles, amongst the 2800 buildings identified in the analyzed zone. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • UNOSAT code: FL20220424SSD Dashboard showing VIIRS cumulative data. This dashboard shows statistics of the potentially exposed population and the maximum flood water extent by district over South Sudan
    This dataset updates: Never
  • UNOSAT code: FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 20 to 24 April 2022 compared with the period from 14 to 18 May 2022. Within the cloud free analyzed areas of about 630,000 km2, a total of about 9,000 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 800 km2 since the period between 20 to 24 April 2022. Based on Worldpop population data and the maximal flood water coverage, ~220,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Updated 28 June 2022 | Dataset date: March 01, 2022-May 21, 2022
    This dataset is part of the Ukraine Data Explorer Consolidated Multi-Purpose Cash (MPC) 4W and 5W data (Who does What, Where) from Ukraine Cash Working Group (CWG), collected from partners involved in the MPC assistance.
    100+ Downloads
    This dataset updates: As needed
  • Updated 28 June 2022 | Dataset date: May 11, 2022-July 03, 2022
    Uses geoBoundaries exclusively for subnational administrative geodata, representing data suitable for most purposes, academic or commercial. Requires attribution to geoBoundaries. Polygons contain only data for the most detailed admin level available, which may not be ADM4 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
    30+ Downloads
    This dataset updates: Every month
  • Updated 28 June 2022 | Dataset date: May 11, 2022-July 03, 2022
    Opinionated world view of the United States as represented in the original Large Scale International Boundaries (LSIB) layer. Regions such as Western Sahara and Kosovo are represented based on American recognition.
    40+ Downloads
    This dataset updates: Every month
  • Governments are taking a wide range of measures in response to the COVID-19 outbreak. The Oxford COVID-19 Government Response Tracker (OxCGRT) aims track and compare government responses to the coronavirus outbreak worldwide rigorously and consistently. The OxCGRT systematically collects information on several different common policy responses governments have taken, scores the stringency of such measures, and aggregates these scores into a common Stringency Index. For more, please visit > https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker
    7400+ Downloads
    This dataset updates: Live
  • Updated 28 June 2022 | Dataset date: September 24, 2020-September 24, 2020
    This dataset contains the number of confirmed cases, recoveries and deaths by locations due to the Coronavirus pandemic in Libya.
    100+ Downloads
    This dataset updates: As needed
  • Updated 28 June 2022 | Dataset date: January 11, 2021-July 03, 2022
    Drone orthomosaic. Post Tropical Storm Chalane Mapping, Malawi conducted with Crowddroning by GLOBHE. More maps and data available on demand upon request from locations globally at: https://globhe.com/drone-data-request MORE CROWDDRONING BY GLOBHE Webb: https://globhe.com/ Facebook: https://www.facebook.com/Crowddroning Twitter: https://twitter.com/globhedrones Instagram: https://www.instagram.com/globhedrones/ LinkedIn: https://www.linkedin.com/company/globhedrones/
    10+ Downloads
    This dataset updates: Never
  • Updated 28 June 2022 | Dataset date: January 01, 2022-March 31, 2022
    This dataset contains the change in the cost of a food basket in relation to a previous period (Periods of 3 months). The change of the cost of basic food basket is calculated by comparing the seasonally adjusted cost of the food basket with the cost in the reference period (previous quarter or baseline), as percentage change. The change is considered normal when the percentage change is between 0 and 3%, moderate when it is between 3 and 10%, high when it is between 10 and 25%, and severe above 25%. Note that the countries included here only include those monitored by WFP.
    100+ Downloads
    This dataset updates: Every month