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  • Updated 5 June 2020 | Dataset date: September 02, 2021-September 02, 2021
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: is_in source place population name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 500+ Downloads
    Updated 17 February 2020 | Dataset date: September 09, 2017-September 20, 2021
    This dataset updates: Every year
    Martinique administrative level 0 (territory), level 1 (arrondissement), and level 2 (commune) boundaries These boundaries are suitable for database or GIS linkage to the Martinique administrative level 0-2 SADD population statistics tables. Version history: 2 September 2019 Lines shapefile added 9 September 2017 Initial upload
  • 300+ Downloads
    Updated 17 February 2020 | Dataset date: February 17, 2020-September 20, 2021
    This dataset updates: Every year
    Martinique administrative level 0 (territory), 1 (arrondissement), and 2 (commune) 2016 sex and age dissaggregated population statistics REFERENCE YEAR: 2016 These tables are suitable for database or GIS linkage to the Martinique administrative level 0-2 boundaries. Version history: 17 February: Update from IGN 9 September 2017: Initial upload from www.gadm.org
  • 60+ Downloads
    Updated 27 November 2019 | Dataset date: November 27, 2019-November 27, 2019
    This dataset updates: As needed
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten', 'school', 'college', 'university','language_school') OR office='educational_institution' Features may have these attributes: name, amenity, isced:level, capacity Geometry types: point, polygon This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated Live | Dataset date: January 01, 2008-September 20, 2021
    This dataset updates: Live
    List of airports in Martinique, with latitude and longitude. Unverified community data from http://ourairports.com/countries/MQ/
  • 200+ Downloads
    Updated Live | Dataset date: June 21, 2019-June 21, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 100+ Downloads
    Updated 28 September 2018 | Dataset date: January 01, 1950-December 31, 2050
    This dataset updates: Every year
    The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
  • 400+ Downloads
    Updated 21 September 2017 | Dataset date: September 21, 2017-September 21, 2017
    This dataset updates: Every year
    Hurricane Maria peak 3-sec gust footprints in kml format (through 9UT 21st Sept 2017) Credit - Tropical Storm Risk/UCL
  • 1100+ Downloads
    Updated 14 December 2016 | Dataset date: September 13, 2016-September 13, 2016
    This dataset updates: Every two weeks
    This data is a global overview on Zika Virus.
  • 100+ Downloads
    Updated 29 January 2016 | Dataset date: December 31, 2015-December 31, 2015
    This dataset updates: Never
    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.