Cooling and heating degree days - Cities and FUAs — Change in cooling in Bogotá D.C.
Bogotá D.C.: Cooling and heating degree days - Cities and FUAs — Change in cooling was -0.3994 Degree days in 2025. ◆ Volatile
Cooling and heating degree days - Cities and FUAs — Change in cooling in Bogotá D.C., 1950–2025
Source: Organisation for Economic Co-operation and Development. Measured in Degree days.
Analysis
The most recent figure for cooling and heating degree days - cities and fuas — change in cooling in Bogotá D.C. is -0.3994 Degree days, measured in 2025. That is the lowest value across all 76 years on record.
The figure is down 123.3% on the previous year and down 123.6% over ten years.
Over the whole period, cooling and heating degree days - cities and fuas — change in cooling in Bogotá D.C. peaked at 1.72 Degree days in 2024 and was at its lowest, -0.3994 Degree days, in 2025.
Bogotá D.C. ranks 476th 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.
Cooling and heating degree days - Cities and FUAs — Change in cooling in Bogotá D.C., year by year
| Year | Degree days | Change |
|---|---|---|
| 1950 | -0.3938 Degree days | — |
| 1951 | -0.3845 Degree days | -2.4% |
| 1952 | -0.2061 Degree days | -46.4% |
| 1953 | -0.2475 Degree days | +20.1% |
| 1954 | -0.2794 Degree days | +12.9% |
| 1955 | -0.3774 Degree days | +35.1% |
| 1956 | -0.3741 Degree days | -0.9% |
| 1957 | 1.07 Degree days | -385.4% |
| 1958 | 0.2897 Degree days | -72.9% |
| 1959 | 0.0065 Degree days | -97.8% |
| 1960 | -0.3067 Degree days | -4849.0% |
| 1961 | 0.1541 Degree days | -150.2% |
| 1962 | -0.1994 Degree days | -229.4% |
| 1963 | 0.0368 Degree days | -118.5% |
| 1964 | 0.1671 Degree days | +353.5% |
| 1965 | 0.0866 Degree days | -48.2% |
| 1966 | -0.1224 Degree days | -241.3% |
| 1967 | -0.0835 Degree days | -31.8% |
| 1968 | -0.3506 Degree days | +319.9% |
| 1969 | 0.2196 Degree days | -162.6% |
| 1970 | -0.3148 Degree days | -243.4% |
| 1971 | -0.3792 Degree days | +20.5% |
| 1972 | 0.3154 Degree days | -183.2% |
| 1973 | -0.2114 Degree days | -167.0% |
| 1974 | -0.3351 Degree days | +58.5% |
| 1975 | -0.3595 Degree days | +7.3% |
| 1976 | 0.2096 Degree days | -158.3% |
| 1977 | 0.0346 Degree days | -83.5% |
| 1978 | -0.2754 Degree days | -895.6% |
| 1979 | -0.2771 Degree days | +0.6% |
| 1980 | -0.1283 Degree days | -53.7% |
| 1981 | -0.2247 Degree days | +75.2% |
| 1982 | 0.3202 Degree days | -242.5% |
| 1983 | 0.549 Degree days | +71.4% |
| 1984 | -0.3643 Degree days | -166.3% |
| 1985 | -0.3697 Degree days | +1.5% |
| 1986 | -0.2388 Degree days | -35.4% |
| 1987 | -0.0605 Degree days | -74.7% |
| 1988 | -0.3015 Degree days | +398.8% |
| 1989 | -0.3385 Degree days | +12.3% |
| 1990 | -0.0329 Degree days | -90.3% |
| 1991 | -0.2249 Degree days | +584.6% |
| 1992 | -0.193 Degree days | -14.2% |
| 1993 | -0.0685 Degree days | -64.5% |
| 1994 | 0.0927 Degree days | -235.5% |
| 1995 | -0.0708 Degree days | -176.4% |
| 1996 | -0.3586 Degree days | +406.3% |
| 1997 | 0.2236 Degree days | -162.4% |
| 1998 | 0.7035 Degree days | +214.6% |
| 1999 | -0.3721 Degree days | -152.9% |
| 2000 | -0.2995 Degree days | -19.5% |
| 2001 | -0.0307 Degree days | -89.8% |
| 2002 | 0.1482 Degree days | -583.2% |
| 2003 | 0.1482 Degree days | -0.1% |
| 2004 | 0.1923 Degree days | +29.8% |
| 2005 | 0.3351 Degree days | +74.3% |
| 2006 | 0.156 Degree days | -53.4% |
| 2007 | 0.0093 Degree days | -94.1% |
| 2008 | -0.3609 Degree days | -3988.5% |
| 2009 | 0.478 Degree days | -232.4% |
| 2010 | 0.5536 Degree days | +15.8% |
| 2011 | -0.2999 Degree days | -154.2% |
| 2012 | 0.146 Degree days | -148.7% |
| 2013 | -0.0883 Degree days | -160.5% |
| 2014 | 0.1512 Degree days | -271.3% |
| 2015 | 1.69 Degree days | +1020.2% |
| 2016 | 1.17 Degree days | -30.8% |
| 2017 | -0.0732 Degree days | -106.3% |
| 2018 | -0.005 Degree days | -93.2% |
| 2019 | 0.5432 Degree days | -10986.6% |
| 2020 | -0.0802 Degree days | -114.8% |
| 2021 | -0.3148 Degree days | +292.5% |
| 2022 | -0.373 Degree days | +18.5% |
| 2023 | 1.35 Degree days | -460.9% |
| 2024 | 1.72 Degree days | +27.5% |
| 2025 | -0.3994 Degree days | -123.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | -0.0899 Degree days | -0.3938 Degree days | 1.07 Degree days | 10 |
| 1960s | -0.0398 Degree days | -0.3506 Degree days | 0.2196 Degree days | 10 |
| 1970s | -0.1593 Degree days | -0.3792 Degree days | 0.3154 Degree days | 10 |
| 1980s | -0.1157 Degree days | -0.3697 Degree days | 0.549 Degree days | 10 |
| 1990s | -0.0301 Degree days | -0.3721 Degree days | 0.7035 Degree days | 10 |
| 2000s | 0.0776 Degree days | -0.3609 Degree days | 0.478 Degree days | 10 |
| 2010s | 0.3793 Degree days | -0.2999 Degree days | 1.69 Degree days | 10 |
| 2020s | 0.3159 Degree days | -0.3994 Degree days | 1.72 Degree days | 6 |
More reference data data for Bogotá D.C.
- Cooling and heating degree days - Cities and FUAs — Cooling degree 0 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs 1,248 Degree days (2025)
- Cooling and heating degree days - Cities and FUAs — Change in heating 54.3 Degree days (2025)
- Precipitation - Cities and FUAs — Extreme precipitation days 27.46 Days per year (2024)
- Precipitation - Cities and FUAs — Change in extreme precipitation 2.41 Days per year (2024)
- Dependency ratio - Cities and FUAs 11.7 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 22.1 Percentage of national value (2025)
- Internet speed - Cities and FUAs — Uploading speed 27.8 Percentage of national value (2025)
Frequently asked questions
- What is cooling and heating degree days - cities and fuas — change in cooling in Bogotá D.C.?
- Cooling and heating degree days - cities and fuas — change in cooling in Bogotá D.C. was -0.3994 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 Bogotá D.C.?
- The highest recorded value was 1.72 Degree days in 2024.
- What is the lowest cooling and heating degree days - cities and fuas — change in cooling recorded in Bogotá D.C.?
- The lowest recorded value was -0.3994 Degree days in 2025.
- How does Bogotá D.C. rank for cooling and heating degree days - cities and fuas — change in cooling?
- Bogotá D.C. ranks 476th out of 1314 regions with data for 2025.
- Is cooling and heating degree days - cities and fuas — change in cooling rising or falling in Bogotá D.C.?
- Over the last ten years it is down 123.6%. The long-run trend across the full record is volatile.
- Where does this Bogotá D.C. 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