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Days a year with a heat index of 39 °C or more by state or province, projected for 20-year windows to 2099 (CMIP6, World Bank CCKP)

Days a year with a heat index of 39 °C or more, 1995–2014 as the models simulate it and projected for 2020–2039, 2040–2059, 2060–2079 and 2080–2099 under low, middle and very high emissions, for every state or province, from the CMIP6 climate models as bias-corrected, downscaled and aggregated by the World Bank's Climate Change Knowledge Portal. Each value is averaged over the land of the place, not weighted by where people live. The value is the median of the models and the range runs from the 10th to the 90th percentile of the models. The 1995–2014 values are the models' simulation of the recent past, not observations.

Latest value

96days

Each state, province or other first-level region as CCKP draws it on the World Bank's official boundaries: the area-weighted mean of the 0.25° grid cells inside it, averaged over the land, not weighted by where people live. Left out: the 32 areas the World Bank assigns to no country, and the three units CCKP lists under China for Hong Kong, Macao and Taiwan, places with their own values in the country indicator, and their own region where CCKP lists one., 2080–2099 (projection). Version cmip6-x0.25 hi39 climatology, fetched 2026-10-16.

Days a year with a heat index of 39 °C or more by state or province, projected for 20-year windows to 2099 (CMIP6, World Bank CCKP) (days a year with a heat index of 39 °C or more)

13 values from 1995–2014 to 2080–2099. Lines: Model simulation of 1995–2014, not observations, SSP1-2.6, low emissions, SSP2-4.5, middle emissions, SSP5-8.5, very high emissions. The shaded band is the uncertainty range the producer gives.
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Days a year with a heat index of 39 °C or more by state or province, projected for 20-year windows to 2099 (CMIP6, World Bank CCKP), every value
PeriodEmissions scenarioValue (days)RangeStatus
1995/2014Model simulation of 1995–2014, not observations2819 to 42final
2020/2039SSP1-2.6, low emissions4626 to 80projection
2040/2059SSP1-2.6, low emissions5936 to 99projection
2060/2079SSP1-2.6, low emissions6532 to 106projection
2080/2099SSP1-2.6, low emissions6636 to 109projection
2020/2039SSP2-4.5, middle emissions4325 to 79projection
2040/2059SSP2-4.5, middle emissions6335 to 105projection
2060/2079SSP2-4.5, middle emissions8150 to 123projection
2080/2099SSP2-4.5, middle emissions9659 to 135projection
2020/2039SSP5-8.5, very high emissions4726 to 72projection
2040/2059SSP5-8.5, very high emissions7546 to 119projection
2060/2079SSP5-8.5, very high emissions12081 to 152projection
2080/2099SSP5-8.5, very high emissions150114 to 177projection
The World Bank: Climate Change Knowledge Portal: Observed Climate Data, ERA5 0.25-Degree (doi:10.57966/128g-6s70): Copernicus Climate Change Service ERA5. The World Bank: Climate Change Knowledge Portal: Projected Climate Data, CMIP6 0.25-Degree (doi:10.57966/b54h-7s87): CMIP6 multi-model ensemble (World Climate Research Programme). CC BY 4.0 with the World Bank Dataset Terms.

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World Bank Group · Climate Change Knowledge Portal country climate data
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cmip6-x0.25 hi39 climatology, fetched 2026-10-16
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2026-10-16 (automatically), 110,287 bytes
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sha256 cc111e7857b58deb929f3e0f713d037e94c421d745f79fc192062d167b6718d1
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Climate Change Knowledge Portal: Observed Climate Data, ERA5 0.25-Degree, DOI: https://doi.org/10.57966/128g-6s70. Climate Change Knowledge Portal: Projected Climate Data, CMIP6 0.25-Degree. DOI: https://doi.org/10.57966/b54h-7s87
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World Bank Group · Climate Change Knowledge Portal country climate data
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cmip6-x0.25 hi39 climatology, fetched 2026-10-16
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2026-10-16 (automatically), 107,736 bytes
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sha256 bd309c181250dc63a5709663fd4754d130d743c965f941e5f33b5ebef9d98199
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Climate Change Knowledge Portal: Observed Climate Data, ERA5 0.25-Degree, DOI: https://doi.org/10.57966/128g-6s70. Climate Change Knowledge Portal: Projected Climate Data, CMIP6 0.25-Degree. DOI: https://doi.org/10.57966/b54h-7s87
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World Bank Group · Climate Change Knowledge Portal country climate data
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cmip6-x0.25 hi39 climatology, fetched 2026-10-16
Fetched
2026-10-16 (automatically), 112,859 bytes
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sha256 9006b18520be01c69ca47c61cf79ebdadf97f8be69a79a083b6adfd3606d9095
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Climate Change Knowledge Portal: Observed Climate Data, ERA5 0.25-Degree, DOI: https://doi.org/10.57966/128g-6s70. Climate Change Knowledge Portal: Projected Climate Data, CMIP6 0.25-Degree. DOI: https://doi.org/10.57966/b54h-7s87
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World Bank Group · Climate Change Knowledge Portal country climate data
Version
cmip6-x0.25 hi39 climatology, fetched 2026-10-16
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2026-10-16 (automatically), 112,793 bytes
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sha256 6f2476f3ed61bc7fdf7e2d4cb37bdf1e3fc53247977f7b2c4ed186bc4d0ad12e
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Climate Change Knowledge Portal: Observed Climate Data, ERA5 0.25-Degree, DOI: https://doi.org/10.57966/128g-6s70. Climate Change Knowledge Portal: Projected Climate Data, CMIP6 0.25-Degree. DOI: https://doi.org/10.57966/b54h-7s87
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World Bank Group · Climate Change Knowledge Portal country climate data
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cmip6-x0.25 hi39 climatology, fetched 2026-10-16
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2026-10-16 (automatically), 109,744 bytes
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sha256 61489178f1a38b4a9f92f55db287b77640abc93ddb312ade7b5cd355e4c3d90a
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Climate Change Knowledge Portal: Observed Climate Data, ERA5 0.25-Degree, DOI: https://doi.org/10.57966/128g-6s70. Climate Change Knowledge Portal: Projected Climate Data, CMIP6 0.25-Degree. DOI: https://doi.org/10.57966/b54h-7s87
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World Bank Group · Climate Change Knowledge Portal country climate data
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cmip6-x0.25 hi39 climatology, fetched 2026-10-16
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2026-10-16 (automatically), 114,684 bytes
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sha256 29707970d1a7ecdb3627efd656e67c73edf5e1d79fe7e89f8205ba1483bc8a04
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Climate Change Knowledge Portal: Observed Climate Data, ERA5 0.25-Degree, DOI: https://doi.org/10.57966/128g-6s70. Climate Change Knowledge Portal: Projected Climate Data, CMIP6 0.25-Degree. DOI: https://doi.org/10.57966/b54h-7s87

What was done to it

  1. Read CCKP's 39 CMIP6 0.25° all_countries_subnationals files of hi39 (climatology): the multi-model ensemble median, 10th and 90th percentiles for the 1995–2014 historical runs and 2020–2039, 2040–2059, 2060–2079 and 2080–2099 under SSP1-2.6, SSP2-4.5 and SSP5-8.5. Every file holds the same 246 countries and 3,528 regions.

    Code: pipeline/src/envdash/transforms/future/cckp_projections.py · code sha256 5c4361ac9b2983cd… · inputs e2d128ee046a… 15126265930e… fa140e1701ea… 1aa78f44700a… ef0cc2f26010… 62e40e2ba764… 7cf6077c55f0… 90f319a6aa71… 4eba83db1c9a… 3ce30d5b943f… b947382418e1… f656d27aa596… 773bfd48e09a… 0e6f1448f4de… 95352e6397de… df03955f1682… 478a08a73740… d3edd04fc26b… 6c6b539de19f… 46ed0476edbc… a96c878fca7c… c78fef43559e… 81fc33319e31… c073139fa4d9… 01fc028e6e32… 19b887c834a8… 7c2d14d85ebb… fbaaa9054b67… 05c511981cce… 747d317c2732… 7785247d2abc… 70368c6ec002… d8d71e574bfb… cc111e7857b5… bd309c181250… 9006b18520be… 6f2476f3ed61… 61489178f1a3… 29707970d1a7…

  2. Checked every country's value against its own regions' values in the same file: within the lowest and highest region (±0.01, rounding), or equal to its one region. It holds for every country in every file.

    Code: pipeline/src/envdash/transforms/future/cckp_projections.py · code sha256 5c4361ac9b2983cd… · inputs e2d128ee046a… 15126265930e… fa140e1701ea… 1aa78f44700a… ef0cc2f26010… 62e40e2ba764… 7cf6077c55f0… 90f319a6aa71… 4eba83db1c9a… 3ce30d5b943f… b947382418e1… f656d27aa596… 773bfd48e09a… 0e6f1448f4de… 95352e6397de… df03955f1682… 478a08a73740… d3edd04fc26b… 6c6b539de19f… 46ed0476edbc… a96c878fca7c… c78fef43559e… 81fc33319e31… c073139fa4d9… 01fc028e6e32… 19b887c834a8… 7c2d14d85ebb… fbaaa9054b67… 05c511981cce… 747d317c2732… 7785247d2abc… 70368c6ec002… d8d71e574bfb… cc111e7857b5… bd309c181250… 9006b18520be… 6f2476f3ed61… 61489178f1a3… 29707970d1a7…

  3. Published 3,493 states, provinces and other first-level regions under CCKP's own codes, leaving out the 32 DIS.* units (areas the World Bank assigns to no country), and the 3 units CCKP lists under China for Hong Kong, Macao or Taiwan (CHN.147295925 'Taiwan Sheng'; CHN.1491879 'Macau, SAR'; CHN.33364910 'Hong Kong, SAR'), places this site publishes under their own codes: the median as the value and the 10th and 90th percentiles as the range, as printed, with the 20-year window as the period and the emissions scenario as a dimension.

    Code: pipeline/src/envdash/transforms/future/cckp_projections.py · code sha256 5c4361ac9b2983cd… · inputs e2d128ee046a… 15126265930e… fa140e1701ea… 1aa78f44700a… ef0cc2f26010… 62e40e2ba764… 7cf6077c55f0… 90f319a6aa71… 4eba83db1c9a… 3ce30d5b943f… b947382418e1… f656d27aa596… 773bfd48e09a… 0e6f1448f4de… 95352e6397de… df03955f1682… 478a08a73740… d3edd04fc26b… 6c6b539de19f… 46ed0476edbc… a96c878fca7c… c78fef43559e… 81fc33319e31… c073139fa4d9… 01fc028e6e32… 19b887c834a8… 7c2d14d85ebb… fbaaa9054b67… 05c511981cce… 747d317c2732… 7785247d2abc… 70368c6ec002… d8d71e574bfb… cc111e7857b5… bd309c181250… 9006b18520be… 6f2476f3ed61… 61489178f1a3… 29707970d1a7…

What it covers

Geography
Each state, province or other first-level region as CCKP draws it on the World Bank's official boundaries: the area-weighted mean of the 0.25° grid cells inside it, averaged over the land, not weighted by where people live. Left out: the 32 areas the World Bank assigns to no country, and the three units CCKP lists under China for Hong Kong, Macao and Taiwan, places with their own values in the country indicator, and their own region where CCKP lists one.
Basis
CMIP6 multi-model ensemble (bias-corrected and downscaled to 0.25° by CCKP): the median of the models, with their 10th–90th percentile as the range. Days with a heat index of 39 °C or more (CCKP's hi39). The heat index, as the US National Weather Service defines it, is how hot it feels once humidity is counted. 20-year averages: 1995–2014 from the historical runs; 2020–2039, 2040–2059, 2060–2079 and 2080–2099 under SSP1-2.6, SSP2-4.5 and SSP5-8.5. Projections, not forecasts of any one year.
Unit
days a year with a heat index of 39 °C or more (days)