Cooling and heating degree days - Cities and FUAs — Cooling degree in Pima
Pima: Cooling and heating degree days - Cities and FUAs — Cooling degree was 1,202 Degree days in 2025. ▲ Rising
Cooling and heating degree days - Cities and FUAs — Cooling degree in Pima, 1950–2025
Source: Organisation for Economic Co-operation and Development. Measured in Degree days.
Analysis
Pima recorded 1,202 Degree days for cooling and heating degree days - cities and fuas — cooling degree in 2025.
The figure is down 18.2% on the previous year and up 0.1% over ten years.
Over the whole period, cooling and heating degree days - cities and fuas — cooling degree in Pima peaked at 1,547 Degree days in 2020 and was at its lowest, 967.26 Degree days, in 1983.
That places Pima 50th out of 1323 regions with data for 2025, putting it in the top 10%.
The long-run direction has been consistently rising across the 76 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 1,183 Degree days | 1,013 Degree days | 1,271 Degree days | 10 |
| 1960s | 1,124 Degree days | 1,052 Degree days | 1,261 Degree days | 10 |
| 1970s | 1,118 Degree days | 1,017 Degree days | 1,226 Degree days | 10 |
| 1980s | 1,112 Degree days | 967.26 Degree days | 1,330 Degree days | 10 |
| 1990s | 1,170 Degree days | 1,106 Degree days | 1,268 Degree days | 10 |
| 2000s | 1,252 Degree days | 1,168 Degree days | 1,311 Degree days | 10 |
| 2010s | 1,248 Degree days | 1,197 Degree days | 1,356 Degree days | 10 |
| 2020s | 1,347 Degree days | 1,202 Degree days | 1,547 Degree days | 6 |
More reference data data for Pima
- Cooling and heating degree days - Cities and FUAs — Change in cooling 23.84 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 292.74 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in heating -328.83 Degree days (2025)
- Precipitation - Cities and FUAs — Extreme precipitation days 0.3297 Days per year (2024)
- Precipitation - Cities and FUAs — Change in extreme precipitation -1.41 Days per year (2024)
- Dependency ratio - Cities and FUAs 36 Percentage of population aged 15-64 years (2024)
- Wind threats - Cities and FUAs — Exposure to wind threats 6.18 Percentage of area (2023)
- Coastal flooding - Cities and FUAs — Built-up area exposure to 0 Percentage of built-up area (2022)
- Main mode of transport to work - Cities and FUAs — Employed persons 403,138 Persons (2023)
- Internet speed - Cities and FUAs — Downloading speed -1 Percentage of national value (2025)
Frequently asked questions
- What is cooling and heating degree days - cities and fuas — cooling degree in Pima?
- Cooling and heating degree days - cities and fuas — cooling degree in Pima was 1,202 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 — cooling degree recorded in Pima?
- The highest recorded value was 1,547 Degree days in 2020.
- What is the lowest cooling and heating degree days - cities and fuas — cooling degree recorded in Pima?
- The lowest recorded value was 967.26 Degree days in 1983.
- How does Pima rank for cooling and heating degree days - cities and fuas — cooling degree?
- Pima ranks 50th out of 1323 regions with data for 2025.
- Is cooling and heating degree days - cities and fuas — cooling degree rising or falling in Pima?
- Over the last ten years it is up 0.1%. The long-run trend across the full record is rising.
- Where does this Pima 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 — Cooling degree days. 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>