Cooling and heating degree days - Cities and FUAs in Plzeň
Plzeň: Cooling and heating degree days - Cities and FUAs was 2,394 Degree days in 2025. ▼ Falling
Cooling and heating degree days - Cities and FUAs in Plzeň, 1950–2025
Source: Organisation for Economic Co-operation and Development. Measured in Degree days.
Analysis
Plzeň recorded 2,394 Degree days for cooling and heating degree days - cities and fuas in 2025.
That represents a change of up 4.5% on the previous year and up 1.5% over ten years.
Over the whole period, cooling and heating degree days - cities and fuas in Plzeň peaked at 3,438 Degree days in 1956 and was at its lowest, 2,208 Degree days, in 2014.
That places Plzeň 208th out of 1323 regions with data for 2025, putting it in the top quarter.
The long-run direction has been consistently falling across the 76 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 3,005 Degree days | 2,712 Degree days | 3,438 Degree days | 10 |
| 1960s | 3,046 Degree days | 2,675 Degree days | 3,377 Degree days | 10 |
| 1970s | 2,960 Degree days | 2,656 Degree days | 3,159 Degree days | 10 |
| 1980s | 2,925 Degree days | 2,512 Degree days | 3,236 Degree days | 10 |
| 1990s | 2,773 Degree days | 2,485 Degree days | 3,308 Degree days | 10 |
| 2000s | 2,666 Degree days | 2,435 Degree days | 2,863 Degree days | 10 |
| 2010s | 2,570 Degree days | 2,208 Degree days | 3,157 Degree days | 10 |
| 2020s | 2,425 Degree days | 2,292 Degree days | 2,770 Degree days | 6 |
More reference data data for Plzeň
- Cooling and heating degree days - Cities and FUAs — Cooling degree 24.72 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in cooling -25.98 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in heating -393.47 Degree days (2025)
- Precipitation - Cities and FUAs — Extreme precipitation days 2.83 Days per year (2024)
- Precipitation - Cities and FUAs — Change in extreme precipitation 1.25 Days per year (2024)
- Dependency ratio - Cities and FUAs 31.1 Percentage of population aged 15-64 years (2025)
- Wind threats - Cities and FUAs — Exposure to wind threats 0 Percentage of area (2023)
- Coastal flooding - Cities and FUAs — Built-up area exposure to 0 Percentage of built-up area (2022)
- Internet speed - Cities and FUAs — Downloading speed 37.1 Percentage of national value (2025)
- Internet speed - Cities and FUAs — Uploading speed 57.8 Percentage of national value (2025)
Frequently asked questions
- What is cooling and heating degree days - cities and fuas in Plzeň?
- Cooling and heating degree days - cities and fuas in Plzeň was 2,394 Degree days in 2025, according to Organisation for Economic Co-operation and Development.
- What is the highest cooling and heating degree days - cities and fuas recorded in Plzeň?
- The highest recorded value was 3,438 Degree days in 1956.
- What is the lowest cooling and heating degree days - cities and fuas recorded in Plzeň?
- The lowest recorded value was 2,208 Degree days in 2014.
- How does Plzeň rank for cooling and heating degree days - cities and fuas?
- Plzeň ranks 208th out of 1323 regions with data for 2025.
- Is cooling and heating degree days - cities and fuas rising or falling in Plzeň?
- Over the last ten years it is up 1.5%. The long-run trend across the full record is falling.
- Where does this Plzeň data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Cooling and heating degree days - Cities and FUAs. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 76 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
<p align="justify">This dataset provides indicators of Cooling and Heating Degree Days (CDDs and HDDs) for FUAs and cities. CDDs and HDDs are measurements used to estimate energy usage based on outdoor temperature. CDD measures the demand for cooling, while HDD measures the demand for heating, both calculated relative to a baseline temperature.</p> <h3>Data sources and methodology</h3> <p align="justify"> The indicators use 0.1-degree resolution grids from the <a href=https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR>ERA5-Land dataset</a>. 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. Annual CDDs are the sum over a year of the differences between the daily mean outdoor air temperature and the threshold temperature when the outdoor temperature is above the threshold temperature. HDDs are the sum over a year of the differences between the threshold temperature and the daily mean outdoor air temperature when the outdoor temperature is below the threshold temperature. Threshold temperatures are set to 22°C for CDDs and 15°C for HDDs.</p> <p align="justify"> 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. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> <p> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. </p> The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dj">Cooling and heating degree days - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <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 align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>