Heat stress - Cities and FUAs — Mean population exposure to heat in Innsbruck
Innsbruck: Heat stress - Cities and FUAs — Mean population exposure to heat was 0.015 Days per year in 2025. ◆ Volatile
Heat stress - Cities and FUAs — Mean population exposure to heat in Innsbruck, 1981–2025
Source: Organisation for Economic Co-operation and Development. Measured in Days per year.
Analysis
The most recent figure for heat stress - cities and fuas — mean population exposure to heat in Innsbruck is 0.015 Days per year, measured in 2025.
That represents a change of up 284.6% on the previous year and down 99.3% over ten years.
Over the whole period, heat stress - cities and fuas — mean population exposure to heat in Innsbruck peaked at 2.1 Days per year in 2015 and was at its lowest, 0 Days per year, in 1981.
Innsbruck ranks 1261st of 1315 regions on this measure, 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 Innsbruck, year by year
| Year | Days per year | Change |
|---|---|---|
| 1981 | 0 Days per year | — |
| 1982 | 0 Days per year | — |
| 1983 | 0.0384 Days per year | — |
| 1984 | 0.2226 Days per year | +480.3% |
| 1985 | 0 Days per year | -100.0% |
| 1986 | 0 Days per year | — |
| 1987 | 0 Days per year | — |
| 1988 | 0 Days per year | — |
| 1989 | 0 Days per year | — |
| 1990 | 0 Days per year | — |
| 1991 | 0 Days per year | — |
| 1992 | 0.152 Days per year | — |
| 1993 | 0.0013 Days per year | -99.1% |
| 1994 | 0.0024 Days per year | +82.9% |
| 1995 | 0 Days per year | -100.0% |
| 1996 | 0 Days per year | — |
| 1997 | 0 Days per year | — |
| 1998 | 0.0014 Days per year | — |
| 1999 | 0 Days per year | -100.0% |
| 2000 | 0 Days per year | — |
| 2001 | 0 Days per year | — |
| 2002 | 0.0001 Days per year | — |
| 2003 | 0.0481 Days per year | +46358.0% |
| 2004 | 0 Days per year | -100.0% |
| 2005 | 1 Days per year | — |
| 2006 | 0 Days per year | -100.0% |
| 2007 | 0.0023 Days per year | — |
| 2008 | 0 Days per year | -100.0% |
| 2009 | 0.0001 Days per year | — |
| 2010 | 0.0011 Days per year | +865.5% |
| 2011 | 0.0022 Days per year | +103.8% |
| 2012 | 0.0025 Days per year | +13.8% |
| 2013 | 1.22 Days per year | +49222.7% |
| 2014 | 0.0008 Days per year | -99.9% |
| 2015 | 2.1 Days per year | +253009.5% |
| 2016 | 0 Days per year | -100.0% |
| 2017 | 0.0015 Days per year | — |
| 2018 | 0.0015 Days per year | +4.9% |
| 2019 | 0.9804 Days per year | +63476.5% |
| 2020 | 0.0015 Days per year | -99.8% |
| 2021 | 0 Days per year | -100.0% |
| 2022 | 0.0015 Days per year | — |
| 2023 | 0.2189 Days per year | +14579.2% |
| 2024 | 0.0039 Days per year | -98.2% |
| 2025 | 0.015 Days per year | +284.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 0.029 Days per year | 0 Days per year | 0.2226 Days per year | 9 |
| 1990s | 0.0157 Days per year | 0 Days per year | 0.152 Days per year | 10 |
| 2000s | 0.1051 Days per year | 0 Days per year | 1 Days per year | 10 |
| 2010s | 0.4307 Days per year | 0 Days per year | 2.1 Days per year | 10 |
| 2020s | 0.0401 Days per year | 0 Days per year | 0.2189 Days per year | 6 |
More population data for Innsbruck
- Demographic balances and indicators by type of projection and NUTS 3 0.1284 % change on previous year (2100)
- Demographic balances and indicators by type of projection and NUTS 3 3,899 (2100)
- Assumptions for fertility rates by age, type of projection and NUTS 3 1.64 Number (2100)
- Population by age and sex - Cities and FUAs 132,461 Persons (2025)
- Population by citizenship - Cities and FUAs 32.2 Percentage of population (2025)
- Foreign-born population - Cities and FUAs 35.5 Percentage of population (2025)
- Population and built-up density - Cities and FUAs — Urbanised area 6 Square kilometres (2030)
- Live births (total) by NUTS 3 region 2,642 Number (2024)
- Population density by NUTS 3 region 153.3 Persons per square kilometre (2024)
- Population on 1 January by broad age group, sex and NUTS 3 region 319,242 Number (2025)
Frequently asked questions
- What is heat stress - cities and fuas — mean population exposure to heat in Innsbruck?
- Heat stress - cities and fuas — mean population exposure to heat in Innsbruck was 0.015 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 Innsbruck?
- The highest recorded value was 2.1 Days per year in 2015.
- What is the lowest heat stress - cities and fuas — mean population exposure to heat recorded in Innsbruck?
- The lowest recorded value was 0 Days per year in 1981.
- How does Innsbruck rank for heat stress - cities and fuas — mean population exposure to heat?
- Innsbruck ranks 1261st out of 1315 regions with data for 2025.
- Is heat stress - cities and fuas — mean population exposure to heat rising or falling in Innsbruck?
- Over the last ten years it is down 99.3%. The long-run trend across the full record is volatile.
- Where does this Innsbruck 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