collection.json

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  "description": "<b>WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. \r\nPlease make sure you have read our <a href=\"/methods/populations\" target=\"_blank\">Mapping Populations</a> overview page before choosing and downloading a dataset.</b> \r\n<br/><br/>   \r\nBespoke methods used to produce datasets for specific individual countries are available through the <b>WorldPop Open Population Repository (WOPR)</b> link below. \r\nThese are 100m resolution gridded population estimates using customized methods (\"<a href=\"https://www.worldpop.org/methods/populations\" target=\"_blank\">bottom-up</a>\" and/or \"<a href=\"https://www.worldpop.org/methods/populations\" target=\"_blank\">top-down</a>\") developed for the latest data available from each country. \r\nThey can also be visualised and explored through the <a href=\"https://apps.worldpop.org/woprVision/\" target=\"_blank\">woprVision App</a>.\r\n<br/>\r\nThe remaining datasets in the links below are produced using the \"<a href=\"/methods/populations\" target=\"_blank\">top-down</a>\" method, \r\nwith either the unconstrained or constrained top-down disaggregation method used. \r\nPlease make sure you read the <a href=\"/methods/top_down_constrained_vs_unconstrained\" target=\"_blank\">Top-down estimation modelling overview page</a> to decide on which datasets best meet your needs. \r\nDatasets are available to download in Geotiff and ASCII XYZ format at a <u>resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively)</u>:\r\n<br/><br/>\r\n- Unconstrained individual countries 2000-2020  ( 1km resolution ): Consistent 1km resolution population count datasets created using \r\n<a href=\"/methods/top_down_constrained_vs_unconstrained\" target=\"_blank\">unconstrained top-down methods</a> for all countries of the World for each year 2000-2020. \r\n<br/>\r\n- Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using \r\n<a href=\"/methods/top_down_constrained_vs_unconstrained\" target=\"_blank\">unconstrained top-down methods</a> for all countries of the World for each year 2000-2020. \r\n<br/>\r\n- Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using \r\n<a href=\"/methods/top_down_constrained_vs_unconstrained\" target=\"_blank\">unconstrained top-down methods</a> for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (<a href=\"https://population.un.org/wpp/Download/Files/1_Indicators (Standard)/EXCEL_FILES/1_Population/WPP2019_POP_F01_1_TOTAL_POPULATION_BOTH_SEXES.xlsx\" target=\"_blank\">UN 2019</a>)\r\n<br/>\r\n-Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using \r\n<a href=\"/methods/top_down_constrained_vs_unconstrained\" target=\"_blank\">unconstrained top-down methods</a> for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (<a href=\"https://population.un.org/wpp/Download/Files/1_Indicators (Standard)/EXCEL_FILES/1_Population/WPP2019_POP_F01_1_TOTAL_POPULATION_BOTH_SEXES.xlsx\" target=\"_blank\">UN 2019</a>).\r\n<br/>\r\n-Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the \"Unconstrained individual countries 2000-2020\" datasets.\r\n<br/>\r\n-Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using \r\n<a href=\"/methods/top_down_constrained_vs_unconstrained\" target=\"_blank\">constrained top-down methods</a> for all countries of the World for 2020.\r\n<br/>\r\n-Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using \r\n<a href=\"/methods/top_down_constrained_vs_unconstrained\" target=\"_blank\">constrained top-down methods</a> for all countries of the World for 2020 and adjusted to match United Nations national \r\npopulation estimates (<a href=\"https://population.un.org/wpp/Download/Files/1_Indicators (Standard)/EXCEL_FILES/1_Population/WPP2019_POP_F01_1_TOTAL_POPULATION_BOTH_SEXES.xlsx\" target=\"_blank\">UN 2019</a>).\r\n<br/>\r\n<br/>\r\nOlder datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing \"top-down\" methods and time periods are still available for download here: <a href=\"https://www.worldpop.org/geodata/listing?id=16\">Individual countries</a> and <a href=\"https://www.worldpop.org/geodata/listing?id=17\">Whole Continent</a>.\r\n",
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  "sci:doi": "10.5258/SOTON/WP00660",
  "sci:citation": "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/WP00660",
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  "title": "Population counts, unconstrained individual countries 2000-2020 UN adjusted (100m resolution)",
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  "keywords": [
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    "Population distributions",
    "Low income countries",
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