[{"id":"24272","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"dza_level0_100m_2000_2020.png","continent":"Africa","country":"Algeria","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24275","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ago_level0_100m_2000_2020.png","continent":"Africa","country":"Angola","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24320","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ben_level0_100m_2000_2020.png","continent":"Africa","country":"Benin","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24290","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bwa_level0_100m_2000_2020.png","continent":"Africa","country":"Botswana","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24498","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bfa_level0_100m_2000_2020.png","continent":"Africa","country":"Burkina Faso","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24299","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bdi_level0_100m_2000_2020.png","continent":"Africa","country":"Burundi","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24302","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"cmr_level0_100m_2000_2020.png","continent":"Africa","country":"Cameroon","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24303","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"cpv_level0_100m_2000_2020.png","continent":"Africa","country":"Cape Verde","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24305","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"caf_level0_100m_2000_2020.png","continent":"Africa","country":"Central African Republic","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24307","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tcd_level0_100m_2000_2020.png","continent":"Africa","country":"Chad","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24310","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"com_level0_100m_2000_2020.png","continent":"Africa","country":"Comoros","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24369","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"civ_level0_100m_2000_2020.png","continent":"Africa","country":"Cote d'Ivoire","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24340","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"dji_level0_100m_2000_2020.png","continent":"Africa","country":"Djibouti","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24313","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"cod_level0_100m_2000_2020.png","continent":"Africa","country":"DRC","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24492","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"egy_level0_100m_2000_2020.png","continent":"Africa","country":"Egypt","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24326","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"gnq_level0_100m_2000_2020.png","continent":"Africa","country":"Equatorial Guinea","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24328","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"eri_level0_100m_2000_2020.png","continent":"Africa","country":"Eritrea","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24473","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"swz_level0_100m_2000_2020.png","continent":"Africa","country":"Eswatini","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24327","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"eth_level0_100m_2000_2020.png","continent":"Africa","country":"Ethiopia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24341","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"gab_level0_100m_2000_2020.png","continent":"Africa","country":"Gabon","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24343","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"gmb_level0_100m_2000_2020.png","continent":"Africa","country":"Gambia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24346","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"gha_level0_100m_2000_2020.png","continent":"Africa","country":"Ghana","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24354","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"gin_level0_100m_2000_2020.png","continent":"Africa","country":"Guinea","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24438","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"gnb_level0_100m_2000_2020.png","continent":"Africa","country":"Guinea-Bissau","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24374","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ken_level0_100m_2000_2020.png","continent":"Africa","country":"Kenya","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24381","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"lso_level0_100m_2000_2020.png","continent":"Africa","country":"Lesotho","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24383","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"lbr_level0_100m_2000_2020.png","continent":"Africa","country":"Liberia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24384","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"lby_level0_100m_2000_2020.png","continent":"Africa","country":"Libya","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24389","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mdg_level0_100m_2000_2020.png","continent":"Africa","country":"Madagascar","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24390","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mwi_level0_100m_2000_2020.png","continent":"Africa","country":"Malawi","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24393","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mli_level0_100m_2000_2020.png","continent":"Africa","country":"Mali","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24396","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mrt_level0_100m_2000_2020.png","continent":"Africa","country":"Mauritania","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24397","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mus_level0_100m_2000_2020.png","continent":"Africa","country":"Mauritius","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24311","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"myt_level0_100m_2000_2020.png","continent":"Africa","country":"Mayotte","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24404","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mar_level0_100m_2000_2020.png","continent":"Africa","country":"Morocco","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24405","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"moz_level0_100m_2000_2020.png","continent":"Africa","country":"Mozambique","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24407","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"nam_level0_100m_2000_2020.png","continent":"Africa","country":"Namibia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24419","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ner_level0_100m_2000_2020.png","continent":"Africa","country":"Niger","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24420","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"nga_level0_100m_2000_2020.png","continent":"Africa","country":"Nigeria","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24312","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"cog_level0_100m_2000_2020.png","continent":"Africa","country":"Rep. Congo","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24442","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"reu_level0_100m_2000_2020.png","continent":"Africa","country":"R\u00e9union","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24444","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"rwa_level0_100m_2000_2020.png","continent":"Africa","country":"Rwanda","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24446","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"shn_level0_100m_2000_2020.png","continent":"Africa","country":"Saint Helena, Ascension and Tristan da Cunha","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24454","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"stp_level0_100m_2000_2020.png","continent":"Africa","country":"Sao Tome and Principe","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24456","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"sen_level0_100m_2000_2020.png","continent":"Africa","country":"Senegal","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24458","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"syc_level0_100m_2000_2020.png","continent":"Africa","country":"Seychelles","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24459","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"sle_level0_100m_2000_2020.png","continent":"Africa","country":"Sierra Leone","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24464","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"som_level0_100m_2000_2020.png","continent":"Africa","country":"Somalia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24465","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"zaf_level0_100m_2000_2020.png","continent":"Africa","country":"South Africa","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24468","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ssd_level0_100m_2000_2020.png","continent":"Africa","country":"South Sudan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24469","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"sdn_level0_100m_2000_2020.png","continent":"Africa","country":"Sudan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24497","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tza_level0_100m_2000_2020.png","continent":"Africa","country":"Tanzania","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24479","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tgo_level0_100m_2000_2020.png","continent":"Africa","country":"Togo","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24484","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tun_level0_100m_2000_2020.png","continent":"Africa","country":"Tunisia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24489","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"uga_level0_100m_2000_2020.png","continent":"Africa","country":"Uganda","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24470","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"esh_level0_100m_2000_2020.png","continent":"Africa","country":"Western Sahara","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24505","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"zmb_level0_100m_2000_2020.png","continent":"Africa","country":"Zambia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24466","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"zwe_level0_100m_2000_2020.png","continent":"Africa","country":"Zimbabwe","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24448","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"aia_level0_100m_2000_2020.png","continent":"Americas","country":"Anguilla","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24276","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"atg_level0_100m_2000_2020.png","continent":"Americas","country":"Antigua and Barbuda","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24278","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"arg_level0_100m_2000_2020.png","continent":"Americas","country":"Argentina","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24412","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"abw_level0_100m_2000_2020.png","continent":"Americas","country":"Aruba","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24280","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bhs_level0_100m_2000_2020.png","continent":"Americas","country":"Bahamas","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24284","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"brb_level0_100m_2000_2020.png","continent":"Americas","country":"Barbados","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24292","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"blz_level0_100m_2000_2020.png","continent":"Americas","country":"Belize","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24286","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bmu_level0_100m_2000_2020.png","continent":"Americas","country":"Bermuda","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24288","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bol_level0_100m_2000_2020.png","continent":"Americas","country":"Bolivia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24414","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bes_level0_100m_2000_2020.png","continent":"Americas","country":"Bonaire, Sint Eustatius and Saba","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24266","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bra_level0_100m_2000_2020.png","continent":"Americas","country":"Brazil","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24295","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"vgb_level0_100m_2000_2020.png","continent":"Americas","country":"British Virgin Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24267","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"can_level0_100m_2000_2020.png","continent":"Americas","country":"Canada","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24304","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"cym_level0_100m_2000_2020.png","continent":"Americas","country":"Cayman Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24268","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"chl_level0_100m_2000_2020.png","continent":"Americas","country":"Chile","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24309","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"col_level0_100m_2000_2020.png","continent":"Americas","country":"Colombia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24315","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"cri_level0_100m_2000_2020.png","continent":"Americas","country":"Costa Rica","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24317","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"cub_level0_100m_2000_2020.png","continent":"Americas","country":"Cuba","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24411","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"cuw_level0_100m_2000_2020.png","continent":"Americas","country":"Cura\u00e7ao","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24322","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"dma_level0_100m_2000_2020.png","continent":"Americas","country":"Dominica","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24323","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"dom_level0_100m_2000_2020.png","continent":"Americas","country":"Dominican Republic","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24324","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ecu_level0_100m_2000_2020.png","continent":"Americas","country":"Ecuador","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24325","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"slv_level0_100m_2000_2020.png","continent":"Americas","country":"El Salvador","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24331","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"flk_level0_100m_2000_2020.png","continent":"Americas","country":"Falkland Islands (Malvinas)","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24337","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"guf_level0_100m_2000_2020.png","continent":"Americas","country":"French Guiana","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24263","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"grl_level0_100m_2000_2020.png","continent":"Americas","country":"Greenland","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24350","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"grd_level0_100m_2000_2020.png","continent":"Americas","country":"Grenada","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24351","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"glp_level0_100m_2000_2020.png","continent":"Americas","country":"Guadeloupe","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24353","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"gtm_level0_100m_2000_2020.png","continent":"Americas","country":"Guatemala","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24355","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"guy_level0_100m_2000_2020.png","continent":"Americas","country":"Guyana","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24356","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"hti_level0_100m_2000_2020.png","continent":"Americas","country":"Haiti","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24359","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"hnd_level0_100m_2000_2020.png","continent":"Americas","country":"Honduras","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24370","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"jam_level0_100m_2000_2020.png","continent":"Americas","country":"Jamaica","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24395","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mtq_level0_100m_2000_2020.png","continent":"Americas","country":"Martinique","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24398","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mex_level0_100m_2000_2020.png","continent":"Americas","country":"Mexico","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24403","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"msr_level0_100m_2000_2020.png","continent":"Americas","country":"Montserrat","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24418","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"nic_level0_100m_2000_2020.png","continent":"Americas","country":"Nicaragua","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24430","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"pan_level0_100m_2000_2020.png","continent":"Americas","country":"Panama","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24432","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"pry_level0_100m_2000_2020.png","continent":"Americas","country":"Paraguay","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24433","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"per_level0_100m_2000_2020.png","continent":"Americas","country":"Peru","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24440","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"pri_level0_100m_2000_2020.png","continent":"Americas","country":"Puerto Rico","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24445","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"blm_level0_100m_2000_2020.png","continent":"Americas","country":"Saint Barth\u00e9lemy","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24447","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"kna_level0_100m_2000_2020.png","continent":"Americas","country":"Saint Kitts and Nevis","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24449","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"lca_level0_100m_2000_2020.png","continent":"Americas","country":"Saint Lucia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24450","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"maf_level0_100m_2000_2020.png","continent":"Americas","country":"Saint Martin","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24451","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"spm_level0_100m_2000_2020.png","continent":"Americas","country":"Saint Pierre and Miquelon","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24452","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"vct_level0_100m_2000_2020.png","continent":"Americas","country":"Saint Vincent and the Grenadines","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24413","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"sxm_level0_100m_2000_2020.png","continent":"Americas","country":"Sint Maarten (Dutch part)","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24471","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"sur_level0_100m_2000_2020.png","continent":"Americas","country":"Suriname","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24482","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tto_level0_100m_2000_2020.png","continent":"Americas","country":"Trinidad and Tobago","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24487","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tca_level0_100m_2000_2020.png","continent":"Americas","country":"Turks and Caicos Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24261","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"usa_level0_100m_2000_2020.png","continent":"Americas","country":"United States of America","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24262","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"vir_level0_100m_2000_2020.png","continent":"Americas","country":"United States Virgin Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24499","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ury_level0_100m_2000_2020.png","continent":"Americas","country":"Uruguay","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24501","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ven_level0_100m_2000_2020.png","continent":"Americas","country":"Venezuela","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24271","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ata_level0_100m_2000_2020.png","continent":"Antarctica","country":"Antarctica","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24291","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bvt_level0_100m_2000_2020.png","continent":"Antarctica","country":"Bouvet Island (Bouvetoya)","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24339","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"atf_level0_100m_2000_2020.png","continent":"Antarctica","country":"French Southern Territories","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24357","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"hmd_level0_100m_2000_2020.png","continent":"Antarctica","country":"Heard Island and McDonald Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24332","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"sgs_level0_100m_2000_2020.png","continent":"Antarctica","country":"South Georgia and the South Sandwich Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24269","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"afg_level0_100m_2000_2020.png","continent":"Asia","country":"Afghanistan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24283","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"arm_level0_100m_2000_2020.png","continent":"Asia","country":"Armenia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24277","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"aze_level0_100m_2000_2020.png","continent":"Asia","country":"Azerbaijan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24281","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bhr_level0_100m_2000_2020.png","continent":"Asia","country":"Bahrain","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24282","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bgd_level0_100m_2000_2020.png","continent":"Asia","country":"Bangladesh","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24287","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"btn_level0_100m_2000_2020.png","continent":"Asia","country":"Bhutan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24293","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"iot_level0_100m_2000_2020.png","continent":"Asia","country":"British Indian Ocean Territory (Chagos Archipelago)","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24296","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"brn_level0_100m_2000_2020.png","continent":"Asia","country":"Brunei Darussalam","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24301","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"khm_level0_100m_2000_2020.png","continent":"Asia","country":"Cambodia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24264","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"chn_level0_100m_2000_2020.png","continent":"Asia","country":"China","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24318","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"cyp_level0_100m_2000_2020.png","continent":"Asia","country":"Cyprus","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24342","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"geo_level0_100m_2000_2020.png","continent":"Asia","country":"Georgia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24360","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"hkg_level0_100m_2000_2020.png","continent":"Asia","country":"Hong Kong","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24363","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ind_level0_100m_2000_2020.png","continent":"Asia","country":"India","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24260","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"idn_level0_100m_2000_2020.png","continent":"Asia","country":"Indonesia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24364","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"irn_level0_100m_2000_2020.png","continent":"Asia","country":"Iran","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24365","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"irq_level0_100m_2000_2020.png","continent":"Asia","country":"Iraq","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24367","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"isr_level0_100m_2000_2020.png","continent":"Asia","country":"Israel","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24371","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"jpn_level0_100m_2000_2020.png","continent":"Asia","country":"Japan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24373","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"jor_level0_100m_2000_2020.png","continent":"Asia","country":"Jordan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24372","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"kaz_level0_100m_2000_2020.png","continent":"Asia","country":"Kazakhstan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24377","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"kwt_level0_100m_2000_2020.png","continent":"Asia","country":"Kuwait","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24378","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"kgz_level0_100m_2000_2020.png","continent":"Asia","country":"Kyrgyz Republic","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24379","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"lao_level0_100m_2000_2020.png","continent":"Asia","country":"Lao People's Democratic Republic","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24380","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"lbn_level0_100m_2000_2020.png","continent":"Asia","country":"Lebanon","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24388","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mac_level0_100m_2000_2020.png","continent":"Asia","country":"Macao","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24391","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mys_level0_100m_2000_2020.png","continent":"Asia","country":"Malaysia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24392","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mdv_level0_100m_2000_2020.png","continent":"Asia","country":"Maldives","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24400","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mng_level0_100m_2000_2020.png","continent":"Asia","country":"Mongolia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24298","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mmr_level0_100m_2000_2020.png","continent":"Asia","country":"Myanmar","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24409","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"npl_level0_100m_2000_2020.png","continent":"Asia","country":"Nepal","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24375","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"prk_level0_100m_2000_2020.png","continent":"Asia","country":"North Korea","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24406","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"omn_level0_100m_2000_2020.png","continent":"Asia","country":"Oman","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24429","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"pak_level0_100m_2000_2020.png","continent":"Asia","country":"Pakistan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24344","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"pse_level0_100m_2000_2020.png","continent":"Asia","country":"Palestinian Territory","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24434","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"phl_level0_100m_2000_2020.png","continent":"Asia","country":"Philippines","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24441","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"qat_level0_100m_2000_2020.png","continent":"Asia","country":"Qatar","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24455","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"sau_level0_100m_2000_2020.png","continent":"Asia","country":"Saudi Arabia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24460","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"sgp_level0_100m_2000_2020.png","continent":"Asia","country":"Singapore","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24376","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"kor_level0_100m_2000_2020.png","continent":"Asia","country":"South Korea","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24507","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"spr_level0_100m_2000_2020.png","continent":"Asia","country":"Spratly Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24306","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"lka_level0_100m_2000_2020.png","continent":"Asia","country":"Sri Lanka","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24476","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"syr_level0_100m_2000_2020.png","continent":"Asia","country":"Syrian Arab Republic","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24308","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"twn_level0_100m_2000_2020.png","continent":"Asia","country":"Taiwan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24477","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tjk_level0_100m_2000_2020.png","continent":"Asia","country":"Tajikistan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24478","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tha_level0_100m_2000_2020.png","continent":"Asia","country":"Thailand","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24439","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tls_level0_100m_2000_2020.png","continent":"Asia","country":"Timor-Leste","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24485","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tur_level0_100m_2000_2020.png","continent":"Asia","country":"Turkiye","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24486","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tkm_level0_100m_2000_2020.png","continent":"Asia","country":"Turkmenistan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24483","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"are_level0_100m_2000_2020.png","continent":"Asia","country":"United Arab Emirates","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24500","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"uzb_level0_100m_2000_2020.png","continent":"Asia","country":"Uzbekistan","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24462","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"vnm_level0_100m_2000_2020.png","continent":"Asia","country":"Vietnam","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24504","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"yem_level0_100m_2000_2020.png","continent":"Asia","country":"Yemen","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24270","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"alb_level0_100m_2000_2020.png","continent":"Europe","country":"Albania","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24274","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"and_level0_100m_2000_2020.png","continent":"Europe","country":"Andorra","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24279","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"aut_level0_100m_2000_2020.png","continent":"Europe","country":"Austria","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24300","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"blr_level0_100m_2000_2020.png","continent":"Europe","country":"Belarus","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24285","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bel_level0_100m_2000_2020.png","continent":"Europe","country":"Belgium","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24289","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bih_level0_100m_2000_2020.png","continent":"Europe","country":"Bosnia and Herzegovina","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24297","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"bgr_level0_100m_2000_2020.png","continent":"Europe","country":"Bulgaria","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24316","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"hrv_level0_100m_2000_2020.png","continent":"Europe","country":"Croatia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24319","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"cze_level0_100m_2000_2020.png","continent":"Europe","country":"Czech Republic","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24321","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"dnk_level0_100m_2000_2020.png","continent":"Europe","country":"Denmark","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24329","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"est_level0_100m_2000_2020.png","continent":"Europe","country":"Estonia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24330","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"fro_level0_100m_2000_2020.png","continent":"Europe","country":"Faroe Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24334","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"fin_level0_100m_2000_2020.png","continent":"Europe","country":"Finland","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24336","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"fra_level0_100m_2000_2020.png","continent":"Europe","country":"France","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24345","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"deu_level0_100m_2000_2020.png","continent":"Europe","country":"Germany","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24347","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"gib_level0_100m_2000_2020.png","continent":"Europe","country":"Gibraltar","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24349","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"grc_level0_100m_2000_2020.png","continent":"Europe","country":"Greece","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24494","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ggy_level0_100m_2000_2020.png","continent":"Europe","country":"Guernsey","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24358","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"vat_level0_100m_2000_2020.png","continent":"Europe","country":"Holy See (Vatican City State)","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24361","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"hun_level0_100m_2000_2020.png","continent":"Europe","country":"Hungary","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24362","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"isl_level0_100m_2000_2020.png","continent":"Europe","country":"Iceland","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24366","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"irl_level0_100m_2000_2020.png","continent":"Europe","country":"Ireland","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24496","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"imn_level0_100m_2000_2020.png","continent":"Europe","country":"Isle of Man","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24368","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ita_level0_100m_2000_2020.png","continent":"Europe","country":"Italy","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24495","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"jey_level0_100m_2000_2020.png","continent":"Europe","country":"Jersey","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24506","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"kos_level0_100m_2000_2020.png","continent":"Europe","country":"Kosovo ","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24382","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"lva_level0_100m_2000_2020.png","continent":"Europe","country":"Latvia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24385","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"lie_level0_100m_2000_2020.png","continent":"Europe","country":"Liechtenstein","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24386","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ltu_level0_100m_2000_2020.png","continent":"Europe","country":"Lithuania","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24387","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"lux_level0_100m_2000_2020.png","continent":"Europe","country":"Luxembourg","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24491","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mkd_level0_100m_2000_2020.png","continent":"Europe","country":"Macedonia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24394","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mlt_level0_100m_2000_2020.png","continent":"Europe","country":"Malta","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24401","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mda_level0_100m_2000_2020.png","continent":"Europe","country":"Moldova","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24399","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mco_level0_100m_2000_2020.png","continent":"Europe","country":"Monaco","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24402","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mne_level0_100m_2000_2020.png","continent":"Europe","country":"Montenegro","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24410","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"nld_level0_100m_2000_2020.png","continent":"Europe","country":"Netherlands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24423","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"nor_level0_100m_2000_2020.png","continent":"Europe","country":"Norway","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24436","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"pol_level0_100m_2000_2020.png","continent":"Europe","country":"Poland","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24437","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"prt_level0_100m_2000_2020.png","continent":"Europe","country":"Portugal","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24443","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"rou_level0_100m_2000_2020.png","continent":"Europe","country":"Romania","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24259","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"rus_level0_100m_2000_2020.png","continent":"Europe","country":"Russian Federation","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24453","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"smr_level0_100m_2000_2020.png","continent":"Europe","country":"San Marino","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24457","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"srb_level0_100m_2000_2020.png","continent":"Europe","country":"Serbia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24461","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"svk_level0_100m_2000_2020.png","continent":"Europe","country":"Slovakia (Slovak Republic)","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24463","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"svn_level0_100m_2000_2020.png","continent":"Europe","country":"Slovenia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24467","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"esp_level0_100m_2000_2020.png","continent":"Europe","country":"Spain","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24472","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"sjm_level0_100m_2000_2020.png","continent":"Europe","country":"Svalbard & Jan Mayen Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24474","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"swe_level0_100m_2000_2020.png","continent":"Europe","country":"Sweden","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24475","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"che_level0_100m_2000_2020.png","continent":"Europe","country":"Switzerland","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24490","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ukr_level0_100m_2000_2020.png","continent":"Europe","country":"Ukraine","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24493","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"gbr_level0_100m_2000_2020.png","continent":"Europe","country":"United Kingdom of Great Britain & Northern Ireland","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24335","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ala_level0_100m_2000_2020.png","continent":"Europe","country":"\u00c5land Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24273","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"asm_level0_100m_2000_2020.png","continent":"Oceania","country":"American Samoa","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24265","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"aus_level0_100m_2000_2020.png","continent":"Oceania","country":"Australia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24314","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"cok_level0_100m_2000_2020.png","continent":"Oceania","country":"Cook Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24333","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"fji_level0_100m_2000_2020.png","continent":"Oceania","country":"Fiji","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24338","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"pyf_level0_100m_2000_2020.png","continent":"Oceania","country":"French Polynesia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24352","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"gum_level0_100m_2000_2020.png","continent":"Oceania","country":"Guam","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24348","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"kir_level0_100m_2000_2020.png","continent":"Oceania","country":"Kiribati","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24427","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mhl_level0_100m_2000_2020.png","continent":"Oceania","country":"Marshall Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24426","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"fsm_level0_100m_2000_2020.png","continent":"Oceania","country":"Micronesia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24408","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"nru_level0_100m_2000_2020.png","continent":"Oceania","country":"Nauru","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24415","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ncl_level0_100m_2000_2020.png","continent":"Oceania","country":"New Caledonia","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24417","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"nzl_level0_100m_2000_2020.png","continent":"Oceania","country":"New Zealand","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24421","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"niu_level0_100m_2000_2020.png","continent":"Oceania","country":"Niue","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24422","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"nfk_level0_100m_2000_2020.png","continent":"Oceania","country":"Norfolk Island","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24424","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"mnp_level0_100m_2000_2020.png","continent":"Oceania","country":"Northern Mariana Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24428","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"plw_level0_100m_2000_2020.png","continent":"Oceania","country":"Palau","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24431","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"png_level0_100m_2000_2020.png","continent":"Oceania","country":"Papua New Guinea","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24435","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"pcn_level0_100m_2000_2020.png","continent":"Oceania","country":"Pitcairn Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24503","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"wsm_level0_100m_2000_2020.png","continent":"Oceania","country":"Samoa","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24294","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"slb_level0_100m_2000_2020.png","continent":"Oceania","country":"Solomon Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24480","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tkl_level0_100m_2000_2020.png","continent":"Oceania","country":"Tokelau","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24481","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"ton_level0_100m_2000_2020.png","continent":"Oceania","country":"Tonga","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24488","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"tuv_level0_100m_2000_2020.png","continent":"Oceania","country":"Tuvalu","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24425","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"umi_level0_100m_2000_2020.png","continent":"Oceania","country":"United States Minor Outlying Islands","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24416","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"vut_level0_100m_2000_2020.png","continent":"Oceania","country":"Vanuatu","resolution":"100","type":"Administrative Areas","file_html":""},{"id":"24502","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. Grid cell values represent International Standard 3-digit numerical ISO 3166 Country Codes corresponding to country and territory names as designated by the United Nations (ISO, 2017). It is important to note that these data are not official representations of country boundaries, some of which are disputed, but simply represent the source of the population count data.<br\/><b>Data Source<\/b>: <a href='https:\/\/www.worldpop.org\/resources\/docs\/national_boundaries\/global-national-level-input-population-data-summary-rev11-ajt.xlsx' target='_blank'>Global national level input population data-summary<\/a><br\/><b>Methodology<\/b>: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \u201cGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\u201d. Big Earth Data (<a href='https:\/\/doi.org\/10.1080\/20964471.2019.1625151' target='_blank'>https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00651","popyear":null,"date":"2018-11-02","file_img":"wlf_level0_100m_2000_2020.png","continent":"Oceania","country":"Wallis and Futuna","resolution":"100","type":"Administrative Areas","file_html":""}]