Cooling and heating degree days - Cities and FUAs in Berlin
Berlin: Cooling and heating degree days - Cities and FUAs was 2,238 Degree days in 2025. βΌ Falling
Cooling and heating degree days - Cities and FUAs in Berlin, 1950β2025
Source: Organisation for Economic Co-operation and Development. Measured in Degree days.
Analysis
Berlin recorded 2,238 Degree days for cooling and heating degree days - cities and fuas in 2025.
That represents a change of up 13.7% on the previous year and up 6.8% over ten years.
Over the whole period, cooling and heating degree days - cities and fuas in Berlin peaked at 3,169 Degree days in 1969 and was at its lowest, 1,926 Degree days, in 2020.
Berlin ranks 287th of 1323 regions on this measure, 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 | 2,662 Degree days | 2,360 Degree days | 3,087 Degree days | 10 |
| 1960s | 2,706 Degree days | 2,268 Degree days | 3,169 Degree days | 10 |
| 1970s | 2,608 Degree days | 2,296 Degree days | 2,940 Degree days | 10 |
| 1980s | 2,576 Degree days | 2,121 Degree days | 2,931 Degree days | 10 |
| 1990s | 2,455 Degree days | 2,039 Degree days | 3,031 Degree days | 10 |
| 2000s | 2,322 Degree days | 2,063 Degree days | 2,524 Degree days | 10 |
| 2010s | 2,292 Degree days | 1,952 Degree days | 2,965 Degree days | 10 |
| 2020s | 2,126 Degree days | 1,926 Degree days | 2,412 Degree days | 6 |
More reference data data for Berlin
- Cooling and heating degree days - Cities and FUAs β Change in heating -216.41 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in cooling -30.05 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Cooling degree 30.68 Degree days (2025)
- Precipitation - Cities and FUAs β Extreme precipitation days 1.33 Days per year (2024)
- Precipitation - Cities and FUAs β Change in extreme precipitation -0.2109 Days per year (2024)
- Assumptions for probability of dying by age, sex, type of projection 0.0002 (2100)
- Cooling and heating degree days by NUTS 2 regions - annual data 2,667 (2025)
- Cooling and heating degree days by NUTS 2 regions - monthly data 445.71 (2025)
- Dependency ratio - Cities and FUAs 28.7 Percentage of population aged 15-64 years (2025)
- Wind threats - Cities and FUAs β Exposure to wind threats 0 Percentage of area (2023)
Frequently asked questions
- What is cooling and heating degree days - cities and fuas in Berlin?
- Cooling and heating degree days - cities and fuas in Berlin was 2,238 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 Berlin?
- The highest recorded value was 3,169 Degree days in 1969.
- What is the lowest cooling and heating degree days - cities and fuas recorded in Berlin?
- The lowest recorded value was 1,926 Degree days in 2020.
- How does Berlin rank for cooling and heating degree days - cities and fuas?
- Berlin ranks 287th out of 1323 regions with data for 2025.
- Is cooling and heating degree days - cities and fuas rising or falling in Berlin?
- Over the last ten years it is up 6.8%. The long-run trend across the full record is falling.
- Where does this Berlin 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>