- View Recommended Citation(s)
- Recommended Citation(s)*:
Center for International Earth Science Information Network - CIESIN - Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Basic Demographic Characteristics, Revision 11. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H46M34XX. Accessed DAY MONTH YEAR.
* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.
† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.
The files for this data set are available as global rasters in GeoTIFF, ASCII, and netCDF-4 formats. The ASCII and GeoTIFF data are available at the native 30 arc-second resolution and four lower resolutions: 2.5 arc-minute, 15 arc-minute, 30 arc-minute, and 1 degree. The netCDF-4 files are available at all resolutions except 30 arc-second. The data are stored in WGS84, geographic coordinate system (latitude/longitude).
Each downloadable is a compressed zip file whose contents vary depending on the chosen file format. For GeoTIFF (.tif) and ASCII (.asc), the data are packaged by age group at the desired resolution and include rasters of male, female, and total counts and densities. The netCDF-4 (.nc) data contain male, female or total population counts or densities at the desired resolution for all 5-year age groups up to 65+, as well as data quality layers and ancillary files. A separate documentation zip file contains PDF documentation, an Excel file (.xlsx) with country-level information and sources, and a text file (.txt) with a log of changes to the data set by version.