Cooling and heating degree days - Cities and FUAs — Change in cooling in Duitama
Duitama: Cooling and heating degree days - Cities and FUAs — Change in cooling was -0.0834 Degree days in 2025. ◆ Volatile
Cooling and heating degree days - Cities and FUAs — Change in cooling in Duitama, 1950–2025
Source: Organisation for Economic Co-operation and Development. Measured in Degree days.
Analysis
Duitama recorded -0.0834 Degree days for cooling and heating degree days - cities and fuas — change in cooling in 2025. That is the lowest value across all 76 years on record.
Compared with earlier readings it is down 107.9% on the previous year and unchanged over ten years.
Over the whole period, cooling and heating degree days - cities and fuas — change in cooling in Duitama peaked at 1.18 Degree days in 2010 and was at its lowest, -0.0834 Degree days, in 1950.
Duitama ranks 469th of 1314 regions on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | -0.0079 Degree days | -0.0834 Degree days | 0.6468 Degree days | 10 |
| 1960s | -0.0632 Degree days | -0.0834 Degree days | 0.0165 Degree days | 10 |
| 1970s | -0.0577 Degree days | -0.0834 Degree days | 0.1634 Degree days | 10 |
| 1980s | -0.076 Degree days | -0.0834 Degree days | -0.0506 Degree days | 10 |
| 1990s | -0.0307 Degree days | -0.0834 Degree days | 0.2976 Degree days | 10 |
| 2000s | -0.0185 Degree days | -0.0834 Degree days | 0.3362 Degree days | 10 |
| 2010s | 0.1196 Degree days | -0.0834 Degree days | 1.18 Degree days | 10 |
| 2020s | 0.131 Degree days | -0.0834 Degree days | 1.06 Degree days | 6 |
More reference data data for Duitama
- Cooling and heating degree days - Cities and FUAs — Cooling degree 0 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 1,237 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in heating -49.22 Degree days (2025)
- Precipitation - Cities and FUAs — Extreme precipitation days 20.12 Days per year (2024)
- Precipitation - Cities and FUAs — Change in extreme precipitation 8.2 Days per year (2024)
- Dependency ratio - Cities and FUAs 13.8 Percentage of population aged 15-64 years (2019)
- 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 -4.4 Percentage of national value (2025)
- Internet speed - Cities and FUAs — Uploading speed -2.4 Percentage of national value (2025)
Frequently asked questions
- What is cooling and heating degree days - cities and fuas — change in cooling in Duitama?
- Cooling and heating degree days - cities and fuas — change in cooling in Duitama was -0.0834 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 — change in cooling recorded in Duitama?
- The highest recorded value was 1.18 Degree days in 2010.
- What is the lowest cooling and heating degree days - cities and fuas — change in cooling recorded in Duitama?
- The lowest recorded value was -0.0834 Degree days in 1950.
- How does Duitama rank for cooling and heating degree days - cities and fuas — change in cooling?
- Duitama ranks 469th out of 1314 regions with data for 2025.
- Is cooling and heating degree days - cities and fuas — change in cooling rising or falling in Duitama?
- Over the last ten years it is unchanged. The long-run trend across the full record is volatile.
- Where does this Duitama 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 — Change in cooling degree days from 1981–2010 period to 2020–24 period. 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
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. Data sources and methodology The indicators use 0.1-degree resolution grids from the ERA5-Land dataset. 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. 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. Defining FUAs and cities The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of: A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city. A commuting zone – including all local areas where at least 15% of employed residents work in the city. The delineation process includes: Assigning municipalities surrounded by a single FUA to that FUA. Excluding non-contiguous municipalities. The correspondence table between SAUs and FUAs/cities is available in parquet and csv format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries. Cite this dataset OECD Regions, cities and local areas database (Cooling and heating degree days - Cities and FUAs), http://oe.cd/geostats Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email CitiesStat@oecd.org