Gridded Population of the World, Version 4 (GPWv4) - Population Density, Revision 11

Abstract and Limitations of Use: The Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals, Revision 11 consists of estimates of human population (number of persons per pixel) consistent with national censuses and population registers with respect to relative spatial distribution, but adjusted to match the 2015 Revision of the United Nation's World Population Prospects (UN WPP) country totals for the years 2000, 2005, 2010, 2015, and 2020.A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative Units, was used to assign population counts to 30 arc-second grid cells. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research commUnities, the 30 arc-second adjusted count data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions. Because this is a historical dataset, this item does not follow a routine update frequency.   Intended Use: To provide estimates of population count for the years 2000, 2005, 2010, 2015, and 2020, consistent with national censuses and population registers with respect to relative spatial distribution, but adjusted to match United Nations country totals.  Legend:ColorLegend LabelDescription 1000 Estimates of human population (number of persons per pixel) consistent with national censuses and population registers with respect to relative spatial distribution, but adjusted to match the 2015 Revision of the United Nation's World Population Prospects (UN WPP) country totals for the years 2000, 2005, 2010, 2015, and 2020. 250 - 1000 25 - 250 5 - 25 1 - 5 Citation: Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4PN93PB  Publication References:Taking Advantage of the Improved Availability of Census Data: A First Look at the Gridded Population of the World, Version 4. Doxsey-Whitfield, E., K. MacManus, S. B. Adamo, L. Pistolesi, J. Squires, O. Borkovska and S. R. Baptista. (2015). . DOI: https://doi.org/10.1080/23754931.2015.1014272 Gridded Population of the World, Version 4 (GPWv4): Administrative Unit Center Points with Population Estimates, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4BC3WMT Gridded Population of the World, Version 4 (GPWv4): Data Quality Indicators, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H42Z13KG Gridded Population of the World, Version 4 (GPWv4): Land and Water Area, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4Z60M4Z Gridded Population of the World, Version 4 (GPWv4): National Identifier Grid, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4TD9VDP Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4JW8BX5 Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H49C6VHW Documentation for the Gridded Population of the World, Version 4 (GPWv4), Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H45Q4T5F Gridded Population of the World, Version 4 (GPWv4): Basic Demographic Characteristics, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H46M34XX Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision UN WPP Country Totals, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4F47M65 Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals, Revision 10. Center for International Earth Science Information Network - CIESIN - Columbia University. (2017). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4JQ0XZW Contact:For inquiries about this service, please contact ciesin.info@ciesin.columbia.edu or post/view questions on the Earthdata Forum.

Abstract and Limitations of Use: The Gridded Population of the World, Version 4 (GPWv4): Basic Demographic Characteristics, Revision 11 consists of estimates of human population by age and sex as counts (number of persons per pixel) and densities (number of persons per square kilometer), consistent with national censuses and population registers, for the year 2010. To estimate the male and female populations by age in 2010, the proportions of males and females in each 5-year age group from ages 0-4 to ages 85+ for the given census year were calculated. These proportions were then applied to the 2010 estimates of the total population to obtain 2010 estimates of male and female populations by age. In some cases, the spatial resolution of the age and sex proportions was coarser than the resolution of the total population estimates to which they were applied. The population density rasters were created by dividing the population count rasters by the land area raster. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research commUnities, the 30 arc-second data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions. Because this is a historical dataset, this item does not follow a routine update frequency.   Intended Use: To provide estimates of population counts by age and sex for the year 2010, consistent with national censuses and population registers, as raster data to facilitate data integration.  Legend:ColorLegend LabelDescription 1000 Estimates of human population by age and sex as counts (number of persons per pixel) and densities (number of persons per square kilometer), consistent with national censuses and population registers, for the year 2010. To estimate the male and female populations by age in 2010, the proportions of males and females in each 5-year age group from ages 0-4 to ages 85+ for the given census year were calculated. 500 - 1000 250 - 500 100 - 250 50 - 100 25 - 50 10 - 25 5 - 10 1 - 5 0 - 1Display Variables:LabelValuesAge CodeIn Bins of 5 years from 0 - 85+ (1 to 30)Sex Code1, 2, 3Citation: Gridded Population of the World, Version 4 (GPWv4): Basic Demographic Characteristics, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H46M34XX  Publication References:Taking Advantage of the Improved Availability of Census Data: A First Look at the Gridded Population of the World, Version 4. Doxsey-Whitfield, E., K. MacManus, S. B. Adamo, L. Pistolesi, J. Squires, O. Borkovska and S. R. Baptista. (2015). . DOI: https://doi.org/10.1080/23754931.2015.1014272 Gridded Population of the World, Version 4 (GPWv4): Basic Demographic Characteristics, Revision 10. Center for International Earth Science Information Network - CIESIN - Columbia University. (2017). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H45H7D7F Gridded Population of the World, Version 4 (GPWv4): Administrative Unit Center Points with Population Estimates, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4BC3WMT Gridded Population of the World, Version 4 (GPWv4): Data Quality Indicators, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H42Z13KG Gridded Population of the World, Version 4 (GPWv4): Land and Water Area, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4Z60M4Z Gridded Population of the World, Version 4 (GPWv4): National Identifier Grid, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4TD9VDP Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4JW8BX5 Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H49C6VHW Documentation for the Gridded Population of the World, Version 4 (GPWv4), Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H45Q4T5F Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4PN93PB Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision UN WPP Country Totals, Revision 11. Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4F47M65 Contact:For inquiries about this service, please contact ciesin.info@ciesin.columbia.edu or post/view questions on the Earthdata Forum.

Estimated density of people per grid-cell, approximately 1km (0.008333 degrees) resolution. The units are number of people per Km² per pixel, expressed as unit: "ppl/Km²". The mapping approach is Random Forest-based dasymetric redistribution. The WorldPop project was initiated in October 2013 to combine the AfriPop, AsiaPop and AmeriPop population mapping projects. It aims to provide an open access archive of spatial demographic datasets for Central and South America, Africa and Asia to support development, disaster response and health applications. The methods used are designed with full open access and operational application in mind, using transparent, fully documented and peer-reviewed methods to produce easily updatable maps with accompanying metadata and measures of uncertainty. Acknowledgements information at https://www.worldpop.org/acknowledgements **Data revision:** 2018-10-24 **Supplemental Information:** - Data Type: "Float32" - No Data value: -9999 **Citation:** For all WorldPop datasets, please cite the WorldPop website as the source: www.worldpop.org. Additionally, the following academic publications should be cited for the specific datasets listed: - Americas population data: Alessandro Sorichetta, Graeme M. Hornby, Forrest R. Stevens, Andrea E. Gaughan, Catherine Linard, Andrew J. Tatem, 2015, High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020, Scientific Data, doi:10.1038/sdata.2015.45 - Africa population count data: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. - Asia population count data: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882. **Contact points:** Metadata Contact: [Population Counts](mailto:info@worldpop.org) Resource Contact: [WorldPop](mailto:info@worldpop.org) **Online resources:** Download the data from Google Cloud Storage Download data from the Worldpop official website

This data release provides gridded population distributions (spatial resolution of 30 arc-seconds, approximately 1km grid cells) globally for 2025-2100, quantitatively consistent with the Shared Socioeconomic Pathways (SSP) 3.2 national population scenarios. National population totals at 5-year intervals for 2025-2100 were provided for each SSP scenario. Using WorldPop Global2 R2025A data, subnational population proportions were calculated and summarised at administrative unit level 2, i.e. the percentage of the national population within each administrative unit. Global2 historical settlement data was used to determine the percentage of grid cells that became built settlement per administrative unit in 5-year intervals for 2015-2025 and the number of people per new settlement grid cell. This rate of settlement change was extrapolated into future 5-year intervals (2030-2100) and cross-referenced against a probability of becoming built settlement layer, where the transition probability of non-built-settlement to built-settlement was created following the methodology outlined in Nieves, J. J., etc. The grid cells with the highest probability of becoming built settlement were selected until the required percentage of grid cells was reached. The WorldPop Global2 R2025A population data were populated with new settlement grid cells and normalised so that the national population count was consistent with the SSP totals. Concurrently, the subnational population proportions calculated at administrative unit level 2 were retained during normalisation. These steps were implemented to create the global gridded population distributions for 2015-2100 for each SSP scenario. These data were produced by the WorldPop Research Group at the University of Southampton in collaboration with researchers at the University of Bristol. This work was part of the FuturePop: Constructing high spatial resolution population projections and supporting the provision, access and updates of WorldPop spatial demographic datasets project, funded by the Wellcome Trust (grant 308679/Z/23/Z). For more details about the datasets, please refer to the release statement here

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