Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Algeria.<\/p>
The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on the outputs of the Built-Settlement Growth Model (BSGM) developed by Nieves, J. J et al. 2019 and 2020<\/cite><\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Jeremiah J. Nieves, Alessandro Sorichetta, Catherine Linard, Maksym Bondarenko, Jessica E. Steele, Forrest R. Stevens, Andrea E. Gaughan, Alessandra Carioli, Donna J. Clarke, Thomas Esch, Andrew J. Tatem, Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night, Computers, Environment and Urban Systems,Volume 80,2020,101444,ISSN 0198-9715,https:\/\/doi.org\/10.1016\/j.compenvurbsys.2019.101444<\/em><\/small><\/p> - Nieves, J.J.; Bondarenko, M.; Sorichetta, A.; Steele, J.E.; Kerr, D.; Carioli, A.; Stevens, F.R.; Gaughan, A.E.; Tatem, A.J. Predicting Near-Future Built-Settlement Expansion Using Relative Changes in Small Area Populations. Remote Sens. 2020, 12, 1545.<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00695","popyear":"2020","date":"2020-10-30","file_img":"dza_f_45_2020_Image.png","continent":"Africa","country":"Algeria","resolution":"100","type":"Age structures","file_html":""},{"id":"50117","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Angola.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"ago_f_45_2020_Image.png","continent":"Africa","country":"Angola","resolution":"100","type":"Age structures","file_html":""},{"id":"50160","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Benin.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"ben_f_45_2020_Image.png","continent":"Africa","country":"Benin","resolution":"100","type":"Age structures","file_html":""},{"id":"50132","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Botswana.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"bwa_f_45_2020_Image.png","continent":"Africa","country":"Botswana","resolution":"100","type":"Age structures","file_html":""},{"id":"50332","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Burkina Faso.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"bfa_f_45_2020_Image.png","continent":"Africa","country":"Burkina Faso","resolution":"100","type":"Age structures","file_html":""},{"id":"50139","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Burundi.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"bdi_f_45_2020_Image.png","continent":"Africa","country":"Burundi","resolution":"100","type":"Age structures","file_html":""},{"id":"50142","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Cameroon.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"cmr_f_45_2020_Image.png","continent":"Africa","country":"Cameroon","resolution":"100","type":"Age structures","file_html":""},{"id":"50143","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Cape Verde.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"cpv_f_45_2020_Image.png","continent":"Africa","country":"Cape Verde","resolution":"100","type":"Age structures","file_html":""},{"id":"50145","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Central African Republic.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"caf_f_45_2020_Image.png","continent":"Africa","country":"Central African Republic","resolution":"100","type":"Age structures","file_html":""},{"id":"50147","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Chad.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"tcd_f_45_2020_Image.png","continent":"Africa","country":"Chad","resolution":"100","type":"Age structures","file_html":""},{"id":"50150","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Comoros.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"com_f_45_2020_Image.png","continent":"Africa","country":"Comoros","resolution":"100","type":"Age structures","file_html":""},{"id":"50205","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for CIte dIvoire.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"civ_f_45_2020_Image.png","continent":"Africa","country":"Cote d'Ivoire","resolution":"100","type":"Age structures","file_html":""},{"id":"50178","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Djibouti.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"dji_f_45_2020_Image.png","continent":"Africa","country":"Djibouti","resolution":"100","type":"Age structures","file_html":""},{"id":"50153","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Democratic Republic of the Congo.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"cod_f_45_2020_Image.png","continent":"Africa","country":"DRC","resolution":"100","type":"Age structures","file_html":""},{"id":"50326","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Egypt.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on the outputs of the Built-Settlement Growth Model (BSGM) developed by Nieves, J. J et al. 2019 and 2020<\/cite><\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Jeremiah J. Nieves, Alessandro Sorichetta, Catherine Linard, Maksym Bondarenko, Jessica E. Steele, Forrest R. Stevens, Andrea E. Gaughan, Alessandra Carioli, Donna J. Clarke, Thomas Esch, Andrew J. Tatem, Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night, Computers, Environment and Urban Systems,Volume 80,2020,101444,ISSN 0198-9715,https:\/\/doi.org\/10.1016\/j.compenvurbsys.2019.101444<\/em><\/small><\/p> - Nieves, J.J.; Bondarenko, M.; Sorichetta, A.; Steele, J.E.; Kerr, D.; Carioli, A.; Stevens, F.R.; Gaughan, A.E.; Tatem, A.J. Predicting Near-Future Built-Settlement Expansion Using Relative Changes in Small Area Populations. Remote Sens. 2020, 12, 1545.<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00695","popyear":"2020","date":"2020-10-30","file_img":"egy_f_45_2020_Image.png","continent":"Africa","country":"Egypt","resolution":"100","type":"Age structures","file_html":""},{"id":"50166","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Equatorial Guinea.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"gnq_f_45_2020_Image.png","continent":"Africa","country":"Equatorial Guinea","resolution":"100","type":"Age structures","file_html":""},{"id":"50168","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Eritrea.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"eri_f_45_2020_Image.png","continent":"Africa","country":"Eritrea","resolution":"100","type":"Age structures","file_html":""},{"id":"50307","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Swaziland.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"swz_f_45_2020_Image.png","continent":"Africa","country":"Eswatini","resolution":"100","type":"Age structures","file_html":""},{"id":"50167","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Ethiopia.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"eth_f_45_2020_Image.png","continent":"Africa","country":"Ethiopia","resolution":"100","type":"Age structures","file_html":""},{"id":"50179","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Gabon.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"gab_f_45_2020_Image.png","continent":"Africa","country":"Gabon","resolution":"100","type":"Age structures","file_html":""},{"id":"50181","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Gambia.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"gmb_f_45_2020_Image.png","continent":"Africa","country":"Gambia","resolution":"100","type":"Age structures","file_html":""},{"id":"50184","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Ghana.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p> REFERENCES:<\/b><\/p> - WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https:\/\/dx.doi.org\/10.5258\/SOTON\/WP00646<\/em><\/small><\/p> - Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.89<\/em><\/small><\/p> - Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http:\/\/digitizeafrica.ai<\/em><\/small><\/p>","doi":"10.5258\/SOTON\/WP00696","popyear":"2020","date":"2020-10-30","file_img":"gha_f_45_2020_Image.png","continent":"Africa","country":"Ghana","resolution":"100","type":"Age structures","file_html":""},{"id":"50192","desc":" Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Guinea.<\/p> The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male\/female in each age group per grid square. \"NoData\" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)<\/p> The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038\/sdata.2017.89<\/a> (2017)<\/p>