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  • 100+ Downloads
    Updated June 26, 2019 | Dataset date: Jun 26, 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.
  • 30+ Downloads
    Updated June 23, 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.
  • 20+ Downloads
    Updated June 21, 2019 | Dataset date: Jun 19, 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.
  • 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, 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
  • Updated April 17, 2019 | Dataset date: Jan 1, 2019-Jan 1, 2020
    This dataset updates: Live
    Live list of active aid activities for Marshall Islands shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
  • Updated April 17, 2019 | Dataset date: Nov 16, 2015-Dec 31, 2027
    This dataset updates: Live
    List of aid activities by InterAction members in Marshall Islands. Source: http://ngoaidmap.org/location/gn_2080185
  • Updated January 27, 2019 | Dataset date: Jan 1, 1950-Dec 31, 2050
    This dataset updates: Every year
    Contains data from World Health Organization's data portal covering various indicators (one per resource).
  • Updated January 26, 2019 | Dataset date: Jan 1, 1970-Dec 31, 2018
    This dataset updates: Every year
    Contains data from UNESCO's data portal covering various indicators.
  • 2000+ Downloads
    Updated January 25, 2019 | Dataset date: Jan 1, 2011-Dec 31, 2018
    This dataset updates: Every year
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • 30+ Downloads
    Updated January 25, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2017
    This dataset updates: Every year
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
  • 200+ Downloads
    Updated July 18, 2018 | Dataset date: Jul 18, 2018
    This dataset updates: Every year
    Marshall Islands administrative levels 0 (country), 1 (atoll), and 2 (EA) population statistics and gazetteer. These .CSV tables are suitable for database or GIS linkage to the Marshall Islands administrative level 0-2 boundaries shapefiles.
  • 200+ Downloads
    Updated July 18, 2018 | Dataset date: Jul 18, 2018
    This dataset updates: Every year
    Marshall Islands administrative levels 0 (country), 1 (atoll), and 2 (EA) boundary shapefiles, geodatabase, and gazetteer. These shapefiles are suitable for database or GIS linkage to the Marshall Islands administrative level 0-2 population statistics tables.
  • Updated July 18, 2018 | Dataset date: Jan 1, 2008-Dec 31, 2014
    This dataset updates: Every year
    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 data portal.
  • Updated October 20, 2017 | Dataset date: Jan 1, 2008-Dec 31, 2027
    This dataset updates: Live
    List of airports in Marshall Islands, with latitude and longitude. Unverified community data from http://ourairports.com/countries/MH/
  • 600+ Downloads
    Updated February 14, 2017 | Dataset date: Sep 13, 2016
    This dataset updates: Every two weeks
    This data is a global overview on Zika Virus.
  • The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.