Cooling and heating degree days - Regions — Heating degree degree days change compared to 1981-2010 average by country
<p style="text-align: justify;">This dataset provides indicators on Cooling and Heating Degree Days, in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <ul> <li>Cooling Degree Days (CDD) quantify how hot a given period was, indicating the energy demand for cooling...
What the numbers show
Cooling and heating degree days - Regions — Heating degree degree days change compared to 1981-2010 average is currently reported for 48 countries. The highest value is -1.46 Degree days in Indonesia; the lowest is -794.64 Degree days in Canada.
The median across all reporting countries is -329.81 Degree days, and the mean is -297.98 Degree days.
Over the past decade 4 countries rose and 44 fell. The largest increase was in Finland (up 31.1%), and the largest decrease in Mexico (down 21,297.5%).
Cooling and heating degree days - Regions — Heating degree degree: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | -1.46 Degree days | 2023 | down 84.7% | volatile |
| 2 | Costa Rica | -5.3 Degree days | 2023 | down 88.8% | volatile |
| 3 | Colombia | -6.97 Degree days | 2023 | down 92.1% | volatile |
| 4 | Brazil | -7.37 Degree days | 2023 | down 537.4% | volatile |
| 5 | India | -10.2 Degree days | 2023 | down 232.5% | volatile |
| 6 | South Africa | -22.98 Degree days | 2023 | down 22.7% | volatile |
| 7 | Australia | -49.3 Degree days | 2023 | up 14.3% | volatile |
| 8 | Mexico | -60.76 Degree days | 2023 | down 21,297.5% | volatile |
| 9 | Malta | -78.31 Degree days | 2023 | down 127.1% | volatile |
| 10 | Peru | -92.33 Degree days | 2023 | down 301.5% | volatile |
| 11 | Tunisia | -124.62 Degree days | 2023 | down 228.5% | volatile |
| 12 | Norway | -148.18 Degree days | 2023 | up 27.8% | volatile |
| 13 | Chile | -158.41 Degree days | 2023 | down 68.8% | volatile |
| 14 | Argentina | -159.59 Degree days | 2023 | down 143.8% | volatile |
| 15 | Israel | -164.99 Degree days | 2023 | down 108.4% | volatile |
| 16 | Iceland | -175.46 Degree days | 2023 | down 84.7% | volatile |
| 17 | Sweden | -180.72 Degree days | 2023 | up 19.8% | volatile |
| 18 | Portugal | -190.09 Degree days | 2023 | down 295.2% | volatile |
| 19 | United States | -224.61 Degree days | 2023 | down 358.2% | volatile |
| 20 | New Zealand | -294.04 Degree days | 2023 | down 10.1% | volatile |
| 21 | Finland | -295.52 Degree days | 2023 | up 31.1% | volatile |
| 22 | Spain | -303.54 Degree days | 2023 | down 392.8% | volatile |
| 23 | France | -317.99 Degree days | 2023 | down 375.7% | volatile |
| 24 | Greece | -329.48 Degree days | 2023 | down 43.1% | volatile |
| 25 | Denmark | -330.13 Degree days | 2023 | down 1,061.8% | volatile |
| 26 | United Kingdom | -334.61 Degree days | 2023 | down 376.8% | volatile |
| 27 | Italy | -340.12 Degree days | 2023 | down 469.3% | volatile |
| 28 | Estonia | -341.66 Degree days | 2023 | down 112.4% | volatile |
| 29 | Japan | -356.32 Degree days | 2023 | down 1,038.9% | volatile |
| 30 | Ireland | -364.57 Degree days | 2023 | down 652.9% | volatile |
| 31 | Netherlands | -390.01 Degree days | 2023 | down 334.1% | volatile |
| 32 | Latvia | -396.99 Degree days | 2023 | down 453.0% | volatile |
| 33 | Belgium | -413.36 Degree days | 2023 | down 318.8% | volatile |
| 34 | Croatia | -441.76 Degree days | 2023 | down 268.4% | volatile |
| 35 | Slovenia | -443.46 Degree days | 2023 | down 560.3% | volatile |
| 36 | Hungary | -456.71 Degree days | 2023 | down 178.7% | volatile |
| 37 | Russia | -466.79 Degree days | 2023 | down 76.4% | volatile |
| 38 | Lithuania | -468.13 Degree days | 2023 | down 792.5% | volatile |
| 39 | Germany | -469.93 Degree days | 2023 | down 606.7% | volatile |
| 40 | Serbia | -475.45 Degree days | 2023 | down 77.3% | volatile |
| 41 | Poland | -485.25 Degree days | 2023 | down 1,973.5% | volatile |
| 42 | Luxembourg | -494.09 Degree days | 2023 | down 418.9% | volatile |
| 43 | Bulgaria | -510.05 Degree days | 2023 | down 67.8% | volatile |
| 44 | Czechia | -514.51 Degree days | 2023 | down 3,357.6% | volatile |
| 45 | Romania | -525.28 Degree days | 2023 | down 106.1% | volatile |
| 46 | Switzerland | -538.51 Degree days | 2023 | down 888.6% | volatile |
| 47 | Austria | -548.38 Degree days | 2023 | down 670.0% | volatile |
| 48 | Canada | -794.64 Degree days | 2023 | down 8,923.4% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- China (People's Republic of) -281.51 Degree days
- Korea -281.7 Degree days
- Slovak Republic -481.23 Degree days
About this data
<p style="text-align: justify;">This dataset provides indicators on Cooling and Heating Degree Days, in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <ul> <li>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.</li> <li>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.</li> </ul> <div id="subgroup-hdd" class="flex flex-col gap-2"> <div class="flex items-start gap-2" style="text-align: justify;">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.</div> <div class="flex items-start gap-2" style="text-align: justify;"><br />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.</div> </div> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">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 <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>. </p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a> </li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p>