• Updated 30 June 2022 | Dataset date: January 01, 2019-December 31, 2022
    This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
    1200+ Downloads
    This dataset updates: Every year
  • Updated 30 June 2022 | Dataset date: June 30, 2022-June 30, 2022
    Germany population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand (LINZ Data Service) NZ Building Outlines and OpenStreetMap data. Gobal version of population dataset: Kontur Population: Global Population Density for 400m H3 Hexagons
    This dataset updates: As needed
  • Updated 30 June 2022 | Dataset date: March 11, 2020-June 30, 2022
    Global Population dataset. Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, and OpenStreetMap data.
    800+ Downloads
    This dataset updates: As needed
  • Ukraine administrative level 0-4 edge-matched gazetteer, shapefiles, geodatabase, and geoservice. These layers are suitable for database or GIS linkage to the Ukraine - Subnational Population Statistics tables. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
    100+ Downloads
    This dataset updates: Every year
  • Updated 30 June 2022 | Dataset date: January 01, 2021-September 30, 2021
    The data set contains the number of people in need, people targeted and people reached by humanitarian assistance in Sudan during the period January-December 2021.It contains the overall reached and the sector breakdowns too. The data is provided by admin 2 level.
    300+ Downloads
    This dataset updates: Every three months
  • Updated 30 June 2022 | Dataset date: January 01, 2021-December 31, 2022
    This dataset is made for planning purposes. It contains the number of people potentially at risk of hazards (floods, disease outbreaks and conflict) in Sudan.
    300+ Downloads
    This dataset updates: Every year
  • Updated 30 June 2022 | Dataset date: April 30, 2004-July 03, 2022
    Zimbabwe Monthly staple food price data collected by FEWS NET since 2004.
    This dataset updates: Every month
  • Updated 30 June 2022 | Dataset date: April 30, 2004-July 03, 2022
    Zimbabwe Monthly staple food price data collected by FEWS NET since 2004.
    This dataset updates: Every month
  • Updated 30 June 2022 | Dataset date: December 31, 2013-July 03, 2022
    Angola Monthly staple food price data collected by FEWS NET since 2013.
    This dataset updates: Every month
  • Updated 30 June 2022 | Dataset date: January 31, 2004-July 03, 2022
    Djibouti Weekly staple food price data collected by FEWS NET since 2004.
    This dataset updates: Every week
  • Updated 30 June 2022 | Dataset date: January 04, 2005-July 03, 2022
    Haiti Weekly staple food price data collected by FEWS NET since 2005.
    This dataset updates: Every week
  • Updated 30 June 2022 | Dataset date: January 31, 2002-July 03, 2022
    Mauritania Weekly staple food price data collected by FEWS NET since 2002.
    This dataset updates: Every week
  • Updated 30 June 2022 | Dataset date: November 05, 2014-July 03, 2022
    Malawi Weekly staple food price data collected by FEWS NET since 2014.
    This dataset updates: Every week
  • Updated 30 June 2022 | Dataset date: October 29, 2003-July 03, 2022
    Nigeria Weekly staple food price data collected by FEWS NET since 2003.
    This dataset updates: Every week
  • Updated 30 June 2022 | Dataset date: March 03, 2021-July 03, 2022
    Nigeria Weekly staple food price data collected by FEWS NET since 2021.
    10+ Downloads
    This dataset updates: Every week
  • Updated 30 June 2022 | Dataset date: January 31, 2017-July 03, 2022
    Congo, The Democratic Republic of the Weekly staple food price data collected by FEWS NET since 2017.
    This dataset updates: Every week
  • Updated 30 June 2022 | Dataset date: January 31, 1995-July 03, 2022
    Somalia Monthly staple food price data collected by FEWS NET since 1995.
    10+ Downloads
    This dataset updates: Every month
  • Updated 30 June 2022 | Dataset date: January 31, 2005-July 03, 2022
    Kenya Monthly staple food price data collected by FEWS NET since 2005.
    This dataset updates: Every month
  • Updated 30 June 2022 | Dataset date: June 11, 2021-July 03, 2022
    South Sudan Weekly staple food price data collected by FEWS NET since 2021.
    This dataset updates: Every week
  • Updated 30 June 2022 | Dataset date: December 18, 2019-July 03, 2022
    Ethiopia Weekly staple food price data collected by FEWS NET since 2019.
    This dataset updates: Every week
  • Updated 30 June 2022 | Dataset date: January 31, 2002-July 03, 2022
    Chad Weekly staple food price data collected by FEWS NET since 2002.
    This dataset updates: Every week
  • The "GRID3 DRC Settlements - Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Provinces, Version 01" dataset consists of settlement points with names and health catchment area 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 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, and in collaboration with WorldPop at the University of Southampton, 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: settlement point data and a table with the field descriptions for the layer. The data are available for download in Esri file geodatabase format packaged in zip files. File name: GRID3_DRC_settlements_names_V01.gdb The following layers are included in the gdb: codebook__settlements_names GRID3_DRC_settlements_names_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 Settlements - 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/pvdz-4x94. Accessed DAY MONTH YEAR.
    This dataset updates: As needed
  • The "GRID3 DRC Schools - Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Provinces Version 01" dataset consists of school points with names and health catchment area 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 of 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, and in collaboration with WorldPop at the University of Southampton, Kinshasa School of Public Health, UNFPA, UNOPS and Novel-T. GRID3 Mapping for Health in DRC 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: schools point data and a table with the field descriptions for the layer. File name: GRID3_DRC_schools_V01.gdb The following layers are included in the gdb: codebook_schools GRID3_DRC_schools_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 Schools - 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/a3d6-m921. Accessed DAY MONTH YEAR
    This dataset updates: As needed
  • The "GRID3 DRC Religious Centres - Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Provinces Version 01" dataset consists of religious centre points with names and health catchment area attributes in the provinces of Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami in the Democratic Republic of the Congo (DRC). This dataset is one of five (5) datasets (along with the Settlements, Health Facilities, Health Catchment Area Boundaries, and Schools datasets)included in this Version 01 release. 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 of 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, and in collaboration with WorldPop at the University of Southampton, 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 geospatial layer: religious centre point data and a table with the field descriptions for the layer. File name: GRID3_DRC_religious_centers_V01.gdb The following layers are included in the gdb: codebook__religious_centers GRID3_DRC_religious_center_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 Religious Centres - 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/z4vq-h095. Accessed DAY MONTH YEAR
    This dataset updates: As needed
  • The "GRID3 DRC Health Facilities - Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Provinces, Version 01" dataset consists of health facility points with names and health catchment area 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, and in collaboration with WorldPop at the University of Southampton, 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 four layers: health facility point data and a table with the field descriptions for the layer. The data are available for download in Esri file geodatabase format packaged in zip files. File name: GRID3_DRC_health_facilities_V01.gdb The following layers are included in the gdb: codebook_health_facilities GRID3_DRC_bcz_5_prov_V01 (The “BCZ” refers to the Bureau central de la Zone de Santé (Central Office of the Health Zone), which constitutes the framework structure for the organization and operation of the health zone. It is located either within the Hôpital Général de Référence (General Reference Hospital), or outside it but inside the health zone. The BCZ is the operational level of the DRC Health System and level of implementation of strategies from the Ministry of Health.) GRID3_DRC_health_facilities_5_prov_V01 (Government, NGO, or private health facilities that offer vaccination or public health services.) GRID3_DRC_KN_secondary_health_facilities_1_prov_V01 (The main goal of data collection conducted for the EPI was to identify health facilities (public and private) that provided services for public health and routine immunisations. However, at the demand of the DSNIS, all the facilities, public or private, were also geo-referenced. The healthcare services density is such in Kinshasa (with various facilities for private services, specialists, and faith healers opening and closing quite frequently) that GRID3 created a secondary health facilities layer to be able to differentiate the main public structures from others.) 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 Facilities - 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/10.7916/0bvp-kp75. Accessed DAY MONTH YEAR.
    10+ Downloads
    This dataset updates: As needed