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  • 500+ Downloads
    Updated March 28, 2020 | Dataset date: May 20, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in South Africa: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
  • 300+ Downloads
    Updated March 28, 2020 | Dataset date: May 20, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Togo: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
  • 300+ Downloads
    Updated March 28, 2020 | Dataset date: Oct 1, 2018
    This dataset updates: As needed
    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. More information. There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
  • 300+ Downloads
    Updated March 28, 2020 | Dataset date: May 20, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Sao Tome and Principe: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
  • Updated March 28, 2020 | Dataset date: Apr 29, 2016
    This dataset updates: As needed
    No abstract provided
  • 300+ Downloads
    Updated March 28, 2020 | Dataset date: May 20, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Sierra Leone: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49). There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
  • 10+ Downloads
    Updated March 28, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2011
    This dataset updates: As needed
    Flood extent in 2011 Original dataset title: Cambodia Flood Extent in 2011
  • 200+ Downloads
    Updated March 28, 2020 | Dataset date: May 20, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Mayotte: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
  • 400+ Downloads
    Updated March 28, 2020 | Dataset date: May 20, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Namibia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
  • 800+ Downloads
    Updated March 28, 2020 | Dataset date: May 20, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Mozambique: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
  • 300+ Downloads
    Updated March 28, 2020 | Dataset date: May 20, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Lesotho: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
  • 1900+ Downloads
    Updated March 26, 2020 | Dataset date: Jan 1, 2020
    This dataset updates: Every year
    Turkey - Administrative Boundaries (Levels 0, 1, 2 Included Admin 1 and 2 central points.
  • 400+ Downloads
    Updated March 26, 2020 | Dataset date: Jan 1, 2020
    This dataset updates: Every six months
    Turkey Refugee Camps
  • Updated March 24, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the flood hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Eswatini in 2019. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of district surface at flood risk and the maximum expected frequency of flood events with a 100-year return period. Original dataset title: ICA Eswatini, 2019 - Flood hazard, 2013
  • Updated March 24, 2020 | Dataset date: Jan 1, 1981-Dec 31, 2018
    This dataset updates: As needed
    This layer contains information about the drought hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Eswatini in 2019. Data source: HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE), 1981-2015. The main indicator used for the analysis was the number of poor growing seasons observed in the time window of interest. Original dataset title: ICA Eswatini, 2019 - Drought hazard, 1981-2018
  • Updated March 24, 2020 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: As needed
    This layer contains information about the severity of natural hazards (floods and droughts) estimated during the Integrated Context Analysis (ICA) performed in Eswatini in 2019. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1981-2018. Original dataset title: ICA Eswatini, 2019 - Natural shocks hazard
  • Updated March 24, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2019
    This dataset updates: As needed
    This layer contains information about the food security trend analysis - by second-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Eswatini in 2019. Data source: Eswatini Vulnerability Assessment and Analysis coordinated by the Eswatini Vulnerability Assessment Committee and the Central Statistics Office, 2011-2019. The key indicators used for the purposes of the analysis were the Food Consumption Score (FSC) and the Coping Strategy Index (CSI), with a threshold set at 20% because national average of food insecurity, throughout the available rounds, was found to be 18.75%. Original dataset title: ICA Eswatini, 2019 - Recurrence of food insecurity, 2011-2019
  • Updated March 24, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2019
    This dataset updates: As needed
    This layer contains information about the numbers of food insecure people - by second-level administrative unit - estimated for the purposes of the Integrated Context Analysis (ICA) run in Eswatini in 2019. Data source: Eswatini Vulnerability Assessment and Analysis coordinated by the Eswatini Vulnerability Assessment Committee and the Central Statistics Office, 2011-2019. The main indicators used for the analysis were the percentage of food insecure population for long-term planning and the additional population figures in case of a major shock. Original dataset title: ICA Eswatini, 2019 - Estimates of food insecure people, 2011-2019
  • Updated March 24, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2016
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Eswatini in 2019. Data sources: HQ OSE GIS Analysis of NASA MODIS 2001-2016, WorldClim 1970-2000, FAO and NASA SRTM Digital Elevation Model data. The main indicators used for the analysis were the average ecological changes observed between 2001-2006 and 2011-2016 and the percentage of erosion-prone surface. Original dataset title: ICA Eswatini, 2019 - Land Degradation, 2001-2016
  • Updated March 24, 2020 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: As needed
    This layer contains information about the final classification deriving from the Integrated Context Analysis (ICA) run in Eswatini in 2019, showing the areas of convergence between recurrence of food insecurity and propensity to natural shocks (floods and droughts). Original dataset title: ICA Eswatini, 2019 - ICA Categories & Areas
  • Updated March 24, 2020 | Dataset date: Jan 1, 2009-Dec 31, 2018
    This dataset updates: As needed
    This layer contains information about the recurrence of prevalence of stunting - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Eswatini in 2019. Data source: Eswatini Vulnerability Assessment and Analysis coordinated by the Eswatini Vulnerability Assessment Committee and the Central Statistics Office, 2009-2018. The key indicator used for the purposes of the analysis was the prevalence of stunting in children under the age of 5, with a threshold set at 20% because, according to the guidelines suggested by the World Health Organization (WHO), this is the break between the classes 'Medium' and 'High'. Original dataset title: ICA Eswatini, 2019 - Recurrence of prevalence of stunting, 2009-2018
  • Updated March 24, 2020 | Dataset date: Jan 1, 2016-Dec 31, 2016
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in Eswatini in 2019. Data source: Eswatini VAC Livelihood Baseline Update, 2016. Original dataset title: ICA Eswatini, 2019 - Most predominant livelihood zones, 2016
  • Updated March 22, 2020 | Dataset date: Mar 22, 2020
    This dataset updates: Every week
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: network name operator amenity addr:full source addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated March 22, 2020 | Dataset date: Mar 22, 2020
    This dataset updates: Every week
    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: place name population source is_in This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 30+ Downloads
    Updated March 22, 2020 | Dataset date: Mar 22, 2020
    This dataset updates: Every week
    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: tourism name shop man_made opening_hours amenity beds addr:full addr:street source rooms addr:housenumber addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.