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This global dataset of regions at the frontlines of cooling poverty risk includes five different files: (1) Global cooling demand in People-CDDs at ~1 km resolution (GeoTIFF), quantifying population-weighted cooling degree days by combining climate observations with gridded population data; (2) Global ability to access cooling in $/CDD per capita (PPP-adjusted) at ~10 km resolution (geoTIFF), estimating the economic capacity of populations to afford cooling by integrating GDP per capita with heat exposure; Population at the frontlines of cooling poverty risk at ~10 km resolution (geoTIFF), with two separate maps that identify populations (3) at high risk and (4) at extreme risk of cooling poverty by combining cooling demand, affordability constraints, and electricity costs; and (5) Summary of results by country in Excel, providing aggregated national-level indicators including total People-CDDs, economic capacity to afford cooling, and the population at high and extreme risk. Together, these datasets provide a global, spatially detailed estimate of cooling poverty risk under present-day climate conditions. Further information regarding the data sources and methods used to produce these datasets is available in the corresponding scientific article.

Type

Dataset

Publisher

University of Oxford

Publication Date

25/08/2025

Keywords

heat exposure, cooling poverty, energy access, climate adaptation