Cooling and heating degree days - Regions — Cooling degree days days change compared to 1981-2010 average by country
This dataset provides indicators on Cooling and Heating Degree Days, in large (TL2) and small (TL3) regions. Data definition and source Cooling Degree Days (CDD) quantify how hot a given period was, indicating the energy demand for cooling buildings. CDD is calculated as the sum of the differences between the daily...
What the numbers show
Cooling and heating degree days - Regions — Cooling degree days days change compared to 1981-2010 average is currently reported for 49 countries. The highest value is 394.31 Degree days in Brazil; the lowest is -1.83 Degree days in Denmark.
The median across all reporting countries is 49.81 Degree days, and the mean is 76.14 Degree days.
The gap between the highest and lowest reporting country is a factor of about 215.
Over the past decade 34 countries rose and 14 fell. The largest increase was in Russia (up 14,225.2%), and the largest decrease in Ireland (down 139.9%).
Cooling and heating … Cooling compared 1981-2010 average: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 394.31 Degree days | 2023 | up 461.3% | volatile |
| 1 | Türkiye | 89.11 Degree days | 2023 | up 727.2% | volatile |
| 2 | Colombia | 321.71 Degree days | 2023 | up 413.6% | volatile |
| 3 | Mexico | 255.62 Degree days | 2023 | up 1,330.8% | volatile |
| 4 | Costa Rica | 232.03 Degree days | 2023 | up 412.1% | volatile |
| 5 | Israel | 214.7 Degree days | 2023 | up 676.0% | volatile |
| 6 | Tunisia | 209.03 Degree days | 2023 | up 1,816.8% | volatile |
| 7 | Peru | 206.71 Degree days | 2023 | up 1,247.3% | volatile |
| 8 | Indonesia | 194.81 Degree days | 2023 | up 505.5% | volatile |
| 9 | Malta | 163.79 Degree days | 2023 | up 209.3% | volatile |
| 10 | Argentina | 155.19 Degree days | 2023 | up 53.8% | volatile |
| 11 | Spain | 128.48 Degree days | 2023 | up 441.5% | volatile |
| 12 | Greece | 110.28 Degree days | 2023 | up 112.6% | volatile |
| 13 | Bulgaria | 106.77 Degree days | 2023 | up 349.2% | volatile |
| 14 | Japan | 105.89 Degree days | 2023 | up 145.9% | volatile |
| 15 | Italy | 94.96 Degree days | 2023 | up 608.9% | volatile |
| 16 | Australia | 82.98 Degree days | 2023 | down 56.0% | volatile |
| 17 | France | 79.18 Degree days | 2023 | up 505.4% | volatile |
| 18 | South Africa | 74.07 Degree days | 2023 | up 75.1% | volatile |
| 19 | Romania | 67.22 Degree days | 2023 | up 190.1% | volatile |
| 20 | Croatia | 65.23 Degree days | 2023 | up 19.4% | volatile |
| 21 | Portugal | 63.8 Degree days | 2023 | down 3.8% | volatile |
| 22 | United States | 63.72 Degree days | 2023 | up 265.9% | volatile |
| 23 | Hungary | 59.69 Degree days | 2023 | down 5.7% | volatile |
| 24 | Serbia | 49.81 Degree days | 2023 | up 11.1% | volatile |
| 25 | Slovenia | 23.66 Degree days | 2023 | down 51.9% | volatile |
| 26 | Czechia | 19.66 Degree days | 2023 | down 15.9% | volatile |
| 27 | Austria | 17.98 Degree days | 2023 | down 17.6% | volatile |
| 28 | Switzerland | 17.13 Degree days | 2023 | up 225.3% | volatile |
| 29 | Poland | 13.43 Degree days | 2023 | down 1.3% | volatile |
| 30 | Germany | 11.95 Degree days | 2023 | down 4.0% | volatile |
| 31 | India | 8.77 Degree days | 2023 | up 108.9% | volatile |
| 32 | Russia | 8.76 Degree days | 2023 | up 14,225.2% | volatile |
| 33 | Lithuania | 6.66 Degree days | 2023 | up 254.9% | volatile |
| 34 | Netherlands | 4.42 Degree days | 2023 | down 43.1% | volatile |
| 35 | Belgium | 4.41 Degree days | 2023 | down 39.2% | volatile |
| 36 | Chile | 2.1 Degree days | 2023 | down 22.9% | volatile |
| 37 | Canada | 1.98 Degree days | 2023 | up 526.7% | volatile |
| 38 | Latvia | 1.72 Degree days | 2023 | up 947.8% | volatile |
| 39 | Estonia | 1.22 Degree days | 2023 | up 263.4% | volatile |
| 40 | Luxembourg | 0.9707 Degree days | 2023 | down 67.4% | volatile |
| 41 | New Zealand | 0.1796 Degree days | 2023 | up 462.4% | volatile |
| 42 | United Kingdom | 0.0547 Degree days | 2023 | up 612.9% | volatile |
| 43 | Norway | 0.0341 Degree days | 2023 | up 123.4% | volatile |
| 44 | Iceland | -0.0001 Degree days | 2023 | unchanged | volatile |
| 45 | Ireland | -0.0938 Degree days | 2023 | down 139.9% | volatile |
| 46 | Finland | -0.601 Degree days | 2023 | up 34.2% | volatile |
| 47 | Sweden | -0.8874 Degree days | 2023 | up 23.8% | volatile |
| 48 | Denmark | -1.83 Degree days | 2023 | down 71.8% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Korea 83.85 Degree days
- China (People's Republic of) 63.27 Degree days
- Slovak Republic 20.61 Degree days
About this data
This dataset provides indicators on Cooling and Heating Degree Days, in large (TL2) and small (TL3) regions. Data definition and source Cooling Degree Days (CDD) quantify how hot a given period was, indicating the energy demand for cooling buildings. CDD is calculated as the sum of the differences between the daily mean temperature and a reference temperature of 22°C, for all days when the mean temperature exceeds 22°C. Heating Degree Days (HDD) quantify how cold a given period was, reflecting the energy demand for heating buildings. HDD is calculated as the sum of the differences between a reference temperature of 15°C and the daily mean temperature, for all days when the mean temperature falls below 15°C. Those indicators are based on Copernicus ERA5-Land. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. Definition of regions Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid (pdf) and the OECD Territorial Correspondence Table (xlsx). Cite this dataset OECD Regions, Cities and Local Areas database http://oe.cd/geostats. Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email RegionStat@oecd.org.