Cooling and heating degree days - Cities and FUAs in Pitt
Pitt: Cooling and heating degree days - Cities and FUAs was 1,003 Degree days in 2025. βΌ Falling
Cooling and heating degree days - Cities and FUAs in Pitt, 1950β2025
Source: Organisation for Economic Co-operation and Development. Measured in Degree days.
Analysis
Pitt recorded 1,003 Degree days for cooling and heating degree days - cities and fuas in 2025.
The figure is up 11.5% on the previous year and down 1.8% over ten years.
Over the whole period, cooling and heating degree days - cities and fuas in Pitt peaked at 1,445 Degree days in 1969 and was at its lowest, 713.03 Degree days, in 1990.
Pitt ranks 887th of 1323 regions on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 76 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 1,079 Degree days | 859.09 Degree days | 1,420 Degree days | 10 |
| 1960s | 1,247 Degree days | 1,063 Degree days | 1,445 Degree days | 10 |
| 1970s | 1,097 Degree days | 864.38 Degree days | 1,279 Degree days | 10 |
| 1980s | 1,151 Degree days | 1,005 Degree days | 1,323 Degree days | 10 |
| 1990s | 999.15 Degree days | 713.03 Degree days | 1,215 Degree days | 10 |
| 2000s | 1,053 Degree days | 904.47 Degree days | 1,226 Degree days | 10 |
| 2010s | 1,035 Degree days | 841.07 Degree days | 1,348 Degree days | 10 |
| 2020s | 894.51 Degree days | 763.82 Degree days | 1,003 Degree days | 6 |
More reference data data for Pitt
- Cooling and heating degree days - Cities and FUAs β Cooling degree 446.74 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in cooling -56.35 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs β Change in heating -66.13 Degree days (2025)
- Precipitation - Cities and FUAs β Extreme precipitation days 14.48 Days per year (2024)
- Precipitation - Cities and FUAs β Change in extreme precipitation 0.2009 Days per year (2024)
- Dependency ratio - Cities and FUAs 22.6 Percentage of population aged 15-64 years (2024)
- 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)
- Main mode of transport to work - Cities and FUAs β Employed persons 71,671 Persons (2023)
- Internet speed - Cities and FUAs β Downloading speed 5.3 Percentage of national value (2025)
Frequently asked questions
- What is cooling and heating degree days - cities and fuas in Pitt?
- Cooling and heating degree days - cities and fuas in Pitt was 1,003 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 Pitt?
- The highest recorded value was 1,445 Degree days in 1969.
- What is the lowest cooling and heating degree days - cities and fuas recorded in Pitt?
- The lowest recorded value was 713.03 Degree days in 1990.
- How does Pitt rank for cooling and heating degree days - cities and fuas?
- Pitt ranks 887th out of 1323 regions with data for 2025.
- Is cooling and heating degree days - cities and fuas rising or falling in Pitt?
- Over the last ten years it is down 1.8%. The long-run trend across the full record is falling.
- Where does this Pitt 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>