Subject	Global and Planetary Change
Specific subject area	Population projection
Type of data	Gridded dataset
How data were acquired	Simulated
Data format	Annual files of population density at 1 km resolution in Geotif format.
Parameters for data collection	The input data were selected to contain the necessary data to estimate the future population in relation to IPCC CMIP6 scenarios.
Description of data collection	Input data to model future population
Data source location	SSP population - https://tntcat.iiasa.ac.at/SspDb/ RCP urban fraction - https://luh.umd.edu/ WorldPop – Unconstrained global mosaics - https://www.worldpop.org/geodata/summary?id=24767 Roads - https://sedac.ciesin.columbia.edu/data/set/groads-global-roads-open-access-v1 Water bodies - https://sedac.ciesin.columbia.edu/data/set/grump-v1-national-admin-boundaries/data-download (created with national boundaries data) Country borders – http://thematicmapping.org/ Urban extent - https://www.researchgate.net/publication/339873537_MGUP_annual_global_2001_2018.
Data accessibility [1]	Repository name: DataGURU Data identification number: https://doi.org/10.18161/global_popcount.201610 Direct URL to data: https://dataguru.lu.se/app#worldpop
Code accessibility [2]	Repository name: GitHub Direct URL to code: https://github.com/niklasbokeolen/world_population