GRID3 SLE - Population v2.0

The zip files contain the following files: SLE_population_v2_0_gridded.tif This geotiff raster contains estimates of total population size for each approximately 100 m grid cell (0.0008333 decimal degrees grid or 3 arc seconds) across Sierra Leone. NA values represent areas that were mapped as unsettled based on gridded building patterns derived from building footprints (Dooley and Tatem, 2020).These data are stored as floating-point numbers rather than integers to avoid rounding errors in aggregated population totals for larger areas. SLE_population_v2_0_agesex.zip This zip file contains 40 geotiff rasters that contain counts of people for each age-sex group in each approximately 100 m grid cell across the study area. We provide 36 rasters for the commonly reported age classes for males and females separately. These files are labelled with either an “m” (male) or an “f” (female) followed by the first year of the age class represented by the data. “f0” and “m0” are population counts of under 1-year olds for females and males, respectively. “f1” and “m1” are population counts of 1 to 4 year olds for females and males, respectively. Over 4 years old, the age groups are in five-year cohorts labelled with a “5”, “10”, etc. Eighty year olds and over are represented in the groups “f80” and “m80”. We provide four additional 3 rasters that represent demographic groups often needed by programmes and interventions. These are “under1” (all females and males under the age of 1), “under5” (all females and males under the age of 5), “under15” (all females and males under the age of 15) and “f15_49” (all females between the ages of 15 and 49, inclusive). Data Citation: WorldPop and Statistics Sierra Leone. 2021. Census disaggregated gridded population estimates for Sierra Leone (2015), version 2.0. University of Southampton. [doi: 10.5258/SOTON/WP00714] Credits: These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the Geo-referenced Infrastructure and Demographic Data for Development project (GRID3) with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Foreign, Commonwealth & Development Office (INV 009579, formerly OPP 1182425). Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation. We acknowledge the whole WorldPop Research Group and GRID3 partners for overall project support. Edith Darin (WorldPop) led the input processing and the modelling work following the Random Forest (RF)-based dasymetric mapping approach developed by Stevens et al. (2015). Thomas Abbott and Heather Chamberlain (WorldPop) supported the covariates processing work. Statistics Sierra Leone enumeration area-level population count were digitally mapped and shared by DSTI (the Directorate of Science, Technology & Innovation, Sierra Leone). Jolynn Schmidt (CIESIN) processed the enumeration area boundaries. The downloadable Metadata provides more information about Source Data, Methods Overview, Assumptions & Limitations and Works and Data Cited Contact [e-mail] for more information or go here.