Cooling and heating degree days - Cities and FUAs in Granollers
Granollers: Cooling and heating degree days - Cities and FUAs was 643.22 Degree days in 2025. βΌ Falling
Cooling and heating degree days - Cities and FUAs in Granollers, 1950β2025
Source: Organisation for Economic Co-operation and Development. Measured in Degree days.
Analysis
In 2025, cooling and heating degree days - cities and fuas in Granollers stood at 643.22 Degree days. That is the lowest value across all 76 years on record.
Compared with earlier readings it is down 34.1% on the previous year and down 44.2% over ten years.
Over the whole period, cooling and heating degree days - cities and fuas in Granollers peaked at 1,696 Degree days in 1956 and was at its lowest, 643.22 Degree days, in 2025.
Granollers ranks 1022nd of 1323 regions on this measure, in the bottom 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 | 1,389 Degree days | 1,244 Degree days | 1,696 Degree days | 10 |
| 1960s | 1,401 Degree days | 1,161 Degree days | 1,577 Degree days | 10 |
| 1970s | 1,413 Degree days | 1,236 Degree days | 1,471 Degree days | 10 |
| 1980s | 1,344 Degree days | 1,082 Degree days | 1,534 Degree days | 10 |
| 1990s | 1,254 Degree days | 1,070 Degree days | 1,417 Degree days | 10 |
| 2000s | 1,254 Degree days | 1,127 Degree days | 1,473 Degree days | 10 |
| 2010s | 1,206 Degree days | 1,062 Degree days | 1,485 Degree days | 10 |
| 2020s | 981.32 Degree days | 643.22 Degree days | 1,148 Degree days | 6 |
More reference data data for Granollers
- Cooling and heating degree days - Cities and FUAs β Cooling degree 145.4 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in cooling -13.16 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in heating -639.33 Degree days (2025)
- Precipitation - Cities and FUAs β Extreme precipitation days 7.33 Days per year (2024)
- Precipitation - Cities and FUAs β Change in extreme precipitation 1.43 Days per year (2024)
- Dependency ratio - Cities and FUAs 26.2 Percentage of population aged 15-64 years (2022)
- Wind threats - Cities and FUAs β Exposure to wind threats 0 Percentage of area (2023)
- Coastal flooding - Cities and FUAs β Built-up area exposure to 0 Percentage of built-up area (2022)
- Internet speed - Cities and FUAs β Downloading speed 29.9 Percentage of national value (2025)
- Internet speed - Cities and FUAs β Uploading speed 28.6 Percentage of national value (2025)
Frequently asked questions
- What is cooling and heating degree days - cities and fuas in Granollers?
- Cooling and heating degree days - cities and fuas in Granollers was 643.22 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 Granollers?
- The highest recorded value was 1,696 Degree days in 1956.
- What is the lowest cooling and heating degree days - cities and fuas recorded in Granollers?
- The lowest recorded value was 643.22 Degree days in 2025.
- How does Granollers rank for cooling and heating degree days - cities and fuas?
- Granollers ranks 1022nd out of 1323 regions with data for 2025.
- Is cooling and heating degree days - cities and fuas rising or falling in Granollers?
- Over the last ten years it is down 44.2%. The long-run trend across the full record is falling.
- Where does this Granollers 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 Β· JSON β 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 22Β°C for CDDs and 15Β°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> β 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> β 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>),Β <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>