Data for Vanham et al: Sectoral water demand data for the year 2020 covering the African continent in high spatial resolution

The International Water Management Institute (IWMI) developed an Africa-wide water demand (WD) analysis for the year 2020, in unprecedented spatial and (sub)sectoral detail, accounting for six different sectors including multiple subsectors. The resulting sectoral WD data are here provided open access. Sectoral water demand (WD) data We account for the sectors: municipal WD (piped and non-piped population) in 2,5 arc-minutes resolution irrigation WD for 46 SPAM (Spatial Production Allocation Model) crops and major crop groupings livestock WD (six classes: buffaloes, cattle, chickens, goats, pigs and sheep) manufacturing industry WD, in 2,5 arc-minutes resolution, differentiating between several sub-sectors electricity production WD at 2,534 individual power plants, for ten different fuel types, i.e. the fossil fuels coal, oil and gas, the renewables hydropower, solar, wind, biomass and geothermal as well as two other fuel types (nuclear and waste heat) mining WD, for 682 individual mines, differentiating between 34 main commodities File description: The data-set consists of the following files: SI1: SI1_WD-National-Subnational-Basin.xlsx(Sub)sectoral WD data on the national, subnational (GADM level1) and river basin level SI2: SI2_WD-GRID-5arcmin.zip(Sub)sectoral WD data on the grid level (5 arc minutes) SI3: SI3_WD-Rasters.zipGIS-rasters for selected (Sub)sectoral WD data (5 arc minutes) SI4: SI4_WDmun_2,5arcmin.xlsMunicipal WD on the grid level (2,5 arc minutes) SI5: SI5_WD-Mining_Africa.xlsPoint database mining WD SI6: SI6_WDmanind.xlsNational sub-sectoral data for manufacturing industry WD SI7: SI07_WDindman_2,5arcmin.zipGIS-raster (2,5 arc minutes) for manufacturing industry WD Funding This work was carried out under the CGIAR Initiative on Foresight (www.cgiar.org/initiative/foresight) as well as the CGIAR Science Program on Policy Innovations (www.cgiar.org/cgiar-research-porfolio-2025-2030/policy-innovations). We would like to thank all funders who supported this research through their contributions to the CGIAR Trust Fund (www.cgiar.org/funders).