Dataset
Global dataset of regions at the frontlines of cooling poverty risk
- Documentation:
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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.
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- Files:
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(zip, 63.2MB, Terms of use)
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Authors/Creators
+ Engineering and Physical Sciences Research Council
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- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- 2892710
- Publisher:
- University of Oxford
- Publication date:
- 2025
- Language:
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English
- Keywords:
- Pubs id:
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2281921
- Local pid:
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pubs:2281921
- Deposit date:
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2025-08-18
- ARK identifier:
Terms of use
- Copyright date:
- 2025
- Licence:
- CC Attribution (CC BY)
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