Heat stress - Cities and FUAs — Mean population exposure to heat in Santa Cruz de Tenerife
Santa Cruz de Tenerife: Heat stress - Cities and FUAs — Mean population exposure to heat was 1.14 Days per year in 2025. ◆ Volatile
Heat stress - Cities and FUAs — Mean population exposure to heat in Santa Cruz de Tenerife, 1981–2025
Source: Organisation for Economic Co-operation and Development. Measured in Days per year.
Analysis
Santa Cruz de Tenerife recorded 1.14 Days per year for heat stress - cities and fuas — mean population exposure to heat in 2025.
The figure is up 494.5% on the previous year and up 1,607.5% over ten years.
Over the whole period, heat stress - cities and fuas — mean population exposure to heat in Santa Cruz de Tenerife peaked at 1.79 Days per year in 2023 and was at its lowest, 0 Days per year, in 1993.
That places Santa Cruz de Tenerife 1200th out of 1315 regions with data for 2025, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Heat stress - Cities and FUAs — Mean population exposure to heat in Santa Cruz de Tenerife, year by year
| Year | Days per year | Change |
|---|---|---|
| 1981 | 0.0047 Days per year | — |
| 1982 | 0.0463 Days per year | +884.4% |
| 1983 | 0.1514 Days per year | +227.1% |
| 1984 | 0.0609 Days per year | -59.8% |
| 1985 | 0.1959 Days per year | +221.5% |
| 1986 | 0.2099 Days per year | +7.1% |
| 1987 | 1.17 Days per year | +457.5% |
| 1988 | 0.1531 Days per year | -86.9% |
| 1989 | 0.0384 Days per year | -74.9% |
| 1990 | 0.197 Days per year | +413.6% |
| 1991 | 0.1538 Days per year | -22.0% |
| 1992 | 0.0234 Days per year | -84.8% |
| 1993 | 0 Days per year | -100.0% |
| 1994 | 0.1118 Days per year | — |
| 1995 | 0.1143 Days per year | +2.3% |
| 1996 | 0.015 Days per year | -86.8% |
| 1997 | 0 Days per year | -100.0% |
| 1998 | 0.1537 Days per year | — |
| 1999 | 0.2048 Days per year | +33.2% |
| 2000 | 0.0645 Days per year | -68.5% |
| 2001 | 0.2646 Days per year | +310.2% |
| 2002 | 0.2019 Days per year | -23.7% |
| 2003 | 0.1133 Days per year | -43.9% |
| 2004 | 1.13 Days per year | +900.0% |
| 2005 | 0.0641 Days per year | -94.3% |
| 2006 | 1.01 Days per year | +1476.6% |
| 2007 | 0.0061 Days per year | -99.4% |
| 2008 | 0.0796 Days per year | +1209.8% |
| 2009 | 0.1122 Days per year | +40.9% |
| 2010 | 0.2429 Days per year | +116.5% |
| 2011 | 0.1601 Days per year | -34.1% |
| 2012 | 0.2748 Days per year | +71.6% |
| 2013 | 0.2107 Days per year | -23.3% |
| 2014 | 0.0248 Days per year | -88.2% |
| 2015 | 0.0668 Days per year | +168.9% |
| 2016 | 0.1947 Days per year | +191.5% |
| 2017 | 0.3827 Days per year | +96.5% |
| 2018 | 0.1946 Days per year | -49.1% |
| 2019 | 0.1227 Days per year | -37.0% |
| 2020 | 0.3003 Days per year | +144.8% |
| 2021 | 0.3235 Days per year | +7.7% |
| 2022 | 0.1255 Days per year | -61.2% |
| 2023 | 1.79 Days per year | +1325.3% |
| 2024 | 0.1919 Days per year | -89.3% |
| 2025 | 1.14 Days per year | +494.5% |
Biggest year-on-year movements
Years where Heat stress - Cities and FUAs — Mean population exposure to heat in Santa Cruz de Tenerife changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2006 | +1476.6% | 0.0641 Days per year | 1.01 Days per year |
| 2023 | +1325.3% | 0.1255 Days per year | 1.79 Days per year |
| 2008 | +1209.8% | 0.0061 Days per year | 0.0796 Days per year |
| 2004 | +900.0% | 0.1133 Days per year | 1.13 Days per year |
| 1982 | +884.4% | 0.0047 Days per year | 0.0463 Days per year |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 0.2256 Days per year | 0.0047 Days per year | 1.17 Days per year | 9 |
| 1990s | 0.0974 Days per year | 0 Days per year | 0.2048 Days per year | 10 |
| 2000s | 0.3049 Days per year | 0.0061 Days per year | 1.13 Days per year | 10 |
| 2010s | 0.1875 Days per year | 0.0248 Days per year | 0.3827 Days per year | 10 |
| 2020s | 0.6451 Days per year | 0.1255 Days per year | 1.79 Days per year | 6 |
More population data for Santa Cruz de Tenerife
- Population by age and sex - Cities and FUAs 366,503 Persons (2022)
- Population by citizenship - Cities and FUAs 6.4 Percentage of population (2022)
- Foreign-born population - Cities and FUAs 15.7 Percentage of population (2022)
- Population and built-up density - Cities and FUAs — Urbanised area 13 Square kilometres (2030)
Frequently asked questions
- What is heat stress - cities and fuas — mean population exposure to heat in Santa Cruz de Tenerife?
- Heat stress - cities and fuas — mean population exposure to heat in Santa Cruz de Tenerife was 1.14 Days per year in 2025, according to Organisation for Economic Co-operation and Development.
- What is the highest heat stress - cities and fuas — mean population exposure to heat recorded in Santa Cruz de Tenerife?
- The highest recorded value was 1.79 Days per year in 2023.
- What is the lowest heat stress - cities and fuas — mean population exposure to heat recorded in Santa Cruz de Tenerife?
- The lowest recorded value was 0 Days per year in 1993.
- How does Santa Cruz de Tenerife rank for heat stress - cities and fuas — mean population exposure to heat?
- Santa Cruz de Tenerife ranks 1200th out of 1315 regions with data for 2025.
- Is heat stress - cities and fuas — mean population exposure to heat rising or falling in Santa Cruz de Tenerife?
- Over the last ten years it is up 1,607.5%. The long-run trend across the full record is volatile.
- Where does this Santa Cruz de Tenerife data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Heat stress - Cities and FUAs — Mean population exposure to heat stress. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 45 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
This dataset provides an indicator of population exposure to heat stress. Data sources and methodology The indicator uses the Universal Thermal Comfort Index (UTCI). The UTCI enables to assess the impact of atmospheric conditions on the human body by considering air temperature, wind, radiation and humidity. UTCI values from 32°C to 38°C are considered as strong heat stress, from 38°C to 46°C as very strong heat stress, and above 46°C as extreme heat stress. Population exposure to heat stress was computed using the hourly thermal comfort indices grids from the Copernicus Climate Data Store (Di Napoli C. et al.). For each 0.25° by 0.25° grid cell, the number of days for which the maximum UTCI value is above each heat stress threshold (32°C, 38°C and 46°C) is computed. FUA and city level indicators correspond to the population-weighted average number of days above each heat stress threshold, obtained by intersecting the computed grid with the Global Human Settlement Population layer (European Commission, GHSL Data Package 2023). 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 (Heat stress - 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