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  • 2000+ Downloads
    Updated June 18, 2019 | Dataset date: Jan 1, 2017-May 31, 2019
    This dataset updates: Every month
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
  • 700+ Downloads
    Updated June 18, 2019 | Dataset date: Jun 18, 2019
    This dataset updates: Every day
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
  • 50+ Downloads
    Updated June 16, 2019 | Dataset date: Jan 1, 1999-Dec 31, 2017
    This dataset updates: Every year
    FAO statistics collates and disseminates food and agricultural statistics globally. The division develops methodologies and standards for data collection, and holds regular meetings and workshops to support member countries develop statistical systems. We produce publications, working papers and statistical yearbooks that cover food security, prices, production and trade and agri-environmental statistics.
  • 1400+ Downloads
    Updated June 11, 2019 | Dataset date: Jun 10, 2019
    This dataset updates: Every six months
    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.
  • 30+ Downloads
    Updated June 1, 2019 | Dataset date: Jun 1, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: name highway surface smoothness width lanes oneway bridge layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 20+ Downloads
    Updated June 1, 2019 | Dataset date: Jun 1, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: name building building:levels building:materials addr:full addr:housenumber addr:street addr:city office This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated June 1, 2019 | Dataset date: Jun 1, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: name waterway covered width depth layer blockage tunnel natural water This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated June 1, 2019 | Dataset date: Jun 1, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: name amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 30+ Downloads
    Updated June 1, 2019 | Dataset date: Jun 1, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: name building building:levels building:materials addr:full addr:housenumber addr:street addr:city office This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 30+ Downloads
    Updated June 1, 2019 | Dataset date: Jun 1, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: name highway surface smoothness width lanes oneway bridge layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 30+ Downloads
    Updated June 1, 2019 | Dataset date: Jun 1, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: name amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 20+ Downloads
    Updated June 1, 2019 | Dataset date: Jun 1, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: name waterway covered width depth layer blockage tunnel natural water This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated May 28, 2019 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: Every year
    Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).
  • Updated May 28, 2019 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Mexico 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00510
  • Updated May 28, 2019 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Mexico 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00402
  • 40+ Downloads
    Updated May 28, 2019 | Dataset date: Jan 1, 2000-Dec 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Stevens et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020. These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map populations for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
  • 600+ Downloads
    Updated May 23, 2019 | Dataset date: Sep 1, 2018-Apr 30, 2019
    This dataset updates: Every month
    This page provides the data published in the Attacks on Health Care Monthly News Brief. The first dataset covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities or ambulances were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members. The remaining datasets include threats and incidents of violence as well as protests and other events affecting health care between September and December 2018. For a breakdown on the number of health workers killed, kidnapped or arrested (KKA), see In Harms Way dataset. All data contains incidents identified in open sources. Categorized by country.
  • 500+ Downloads
    Updated May 17, 2019 | Dataset date: Jan 1, 2018-Mar 31, 2019
    This dataset updates: Every month
    This page provides the data published in the Education in Danger Monthly News Brief. The first dataset covers events where educators were killed, kidnapped or arrested (KKA) and incidents where schools were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members. The second dataset includes threats and incidents of violence as well as protests and other events affecting education in 2018. For a breakdown on the number of educators killed, kidnapped or arrested (KKA), see In Harms Way dataset. All data contains incidents identified in open sources. Categorized by country.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Sep 8, 2017
    This dataset updates: Live
    Population Exposure Analysis Based on Ground Shake Data (USGS) and Population data (WorldPop).
  • Este mapa ilustra las estructuras potencialmente dañadas por el sismo del 19 de septiembre de 2017 con intensidad de 7.1 grados en la escala de Richter, que fueron detectadas a través de imágenes de satélite para la colonia Cuautepec Madero en la Ciudad de México. Se identificaron 29 estructuras potencialmente dañadas dentro de la imagen de satélite base, de las cuales 16 se encuentran dentro del límite administrativo de la colonia. En análisis se realizó con una imagen WorldView-2, adquirida el 26 de septiembre de 2017, caracterizándose como un análisis preliminar que aún no es validado en campo.
  • This map illustrates damaged structures detected with different media support (newspapers, government reports, web news) and Digital Globe images captured on September 20 (from the web site https://www.digitalglobe.com/opendata/mexico-city-earthquake/post-event) in San Andrés Cholula and San Pedro Cholula located in Puebla State, Mexico. The analyzed area is located at 60 km of the epicentral zone of the 19 September 2017 M7.1 earthquake. IGG-UNAM identified 39 damaged structures. Please send ground feedback to UNITAR-UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in some affected colonies located in Xochimilco and Tlahuac Municipalities, Federal District, Mexico. The analysis was performed by Faculty of Geography of the Autonomous University of the State of Mexico (UAEMex) using as post-event WorldView-2 satellite imagery acquired 20 September 2017. UAEMex identified 87 potentially damaged structures from which 63 are located in Santa Maria Nativitas colony and surroundings. Please do not hesitate to send feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the town of Coatetelco, Miacatlan Municipality, Morelos State, Mexico. The analyzed area is located approximately 90 km northwest of the main shock epicenter of the 19 September 2017 M7.1 earthquake. UNITAR-UNOSAT identified 500 potentially damaged structures. The analysis was performed using a post-event WorldView-3 satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 17 January 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates UAV images-detected and field work survey damaged structures in the town of Tlayacapan located in Tlayacapan Municipality, Morelos State, Mexico. The analyzed area is located at 68 km north-west of the epicentral zone of the 19 September 2017 M7.1 earthquake. The Institute of Geography of the National Autonomous University of Mexico (IGG-UNAM) identified 189 damaged structures. The analysis was performed using a post-event UAV images acquired on 7 October 2017 and field work. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the southwestern part of Cuauhtemoc Municipality, Federal District, Mexico. The analyzed area is located approximately 120 km northwest of the main shock epicenter of the 19 September 2017 M7.1 earthquake. The analysis was performed using a post-event WorldView-2 satellite image acquired on 26 September 2017 and a pre-event Bing basemap. UNITAR-UNOSAT identified 145 potentially damaged structures from which 25 are located in Roma Norte suburb, 24 in Roma Sur, 21 in Hipodromo and 20 in La Condesa. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.