Heat stress - Cities and FUAs — Mean population exposure to heat in Cajeme

Cajeme: Heat stress - Cities and FUAs — Mean population exposure to heat was 301.93 Days per year in 2025. ▲ Rising

Latest (2025)
301.93 Days per year
Change on year
up 8.7%
Rank
34th
of 1315 regions
All-time high
311.51 Days per year
in 2014
All-time low
234.21 Days per year
in 1992
Years of data
45
1981–2025

Heat stress - Cities and FUAs — Mean population exposure to heat in Cajeme, 1981–2025

01002003001981200320251981: 274.2 Days per year1982: 254.6 Days per year1983: 240.7 Days per year1984: 237.3 Days per year1985: 262.2 Days per year1986: 283.9 Days per year1987: 246.4 Days per year1988: 253.8 Days per year1989: 264.8 Days per year1990: 266.4 Days per year1991: 251.5 Days per year1992: 234.2 Days per year1993: 255.3 Days per year1994: 253.8 Days per year1995: 277.7 Days per year1996: 278.2 Days per year1997: 251.8 Days per year1998: 255.1 Days per year1999: 267.2 Days per year2000: 258.9 Days per year2001: 250 Days per year2002: 258.7 Days per year2003: 284.8 Days per year2004: 250 Days per year2005: 278.9 Days per year2006: 292.3 Days per year2007: 267.7 Days per year2008: 270.9 Days per year2009: 265.2 Days per year2010: 258.4 Days per year2011: 255.4 Days per year2012: 276.7 Days per year2013: 272.2 Days per year2014: 311.5 Days per year2015: 289.9 Days per year2016: 299.8 Days per year2017: 301.2 Days per year2018: 294.2 Days per year2019: 260.8 Days per year2020: 264.2 Days per year2021: 281.4 Days per year2022: 262.4 Days per year2023: 272.5 Days per year2024: 277.7 Days per year2025: 301.9 Days per year

Source: Organisation for Economic Co-operation and Development. Measured in Days per year.

Analysis

In 2025, heat stress - cities and fuas — mean population exposure to heat in Cajeme stood at 301.93 Days per year.

The figure is up 8.7% on the previous year and up 4.2% over ten years.

Over the whole period, heat stress - cities and fuas — mean population exposure to heat in Cajeme peaked at 311.51 Days per year in 2014 and was at its lowest, 234.21 Days per year, in 1992.

Cajeme ranks 34th of 1315 regions on this measure, in the top 10%.

The long-run direction has been consistently rising across the 45 years of available data.

Heat stress - Cities and FUAs — Mean population exposure to heat in Cajeme, year by year

Annual values for Heat stress - Cities and FUAs — Mean population exposure to heat stress in Cajeme, 1981 to 2025.
Year Days per year Change
1981 274.22 Days per year
1982 254.65 Days per year -7.1%
1983 240.71 Days per year -5.5%
1984 237.34 Days per year -1.4%
1985 262.19 Days per year +10.5%
1986 283.9 Days per year +8.3%
1987 246.4 Days per year -13.2%
1988 253.79 Days per year +3.0%
1989 264.8 Days per year +4.3%
1990 266.37 Days per year +0.6%
1991 251.47 Days per year -5.6%
1992 234.21 Days per year -6.9%
1993 255.29 Days per year +9.0%
1994 253.79 Days per year -0.6%
1995 277.69 Days per year +9.4%
1996 278.21 Days per year +0.2%
1997 251.78 Days per year -9.5%
1998 255.13 Days per year +1.3%
1999 267.18 Days per year +4.7%
2000 258.95 Days per year -3.1%
2001 250.01 Days per year -3.5%
2002 258.69 Days per year +3.5%
2003 284.81 Days per year +10.1%
2004 249.96 Days per year -12.2%
2005 278.88 Days per year +11.6%
2006 292.25 Days per year +4.8%
2007 267.68 Days per year -8.4%
2008 270.88 Days per year +1.2%
2009 265.19 Days per year -2.1%
2010 258.36 Days per year -2.6%
2011 255.45 Days per year -1.1%
2012 276.68 Days per year +8.3%
2013 272.18 Days per year -1.6%
2014 311.51 Days per year +14.5%
2015 289.88 Days per year -6.9%
2016 299.79 Days per year +3.4%
2017 301.17 Days per year +0.5%
2018 294.22 Days per year -2.3%
2019 260.84 Days per year -11.3%
2020 264.18 Days per year +1.3%
2021 281.42 Days per year +6.5%
2022 262.41 Days per year -6.8%
2023 272.54 Days per year +3.9%
2024 277.66 Days per year +1.9%
2025 301.93 Days per year +8.7%

Averages by decade

DecadeAverage LowestHighest Years
1980s 257.56 Days per year 237.34 Days per year 283.9 Days per year 9
1990s 259.11 Days per year 234.21 Days per year 278.21 Days per year 10
2000s 267.73 Days per year 249.96 Days per year 292.25 Days per year 10
2010s 282.01 Days per year 255.45 Days per year 311.51 Days per year 10
2020s 276.69 Days per year 262.41 Days per year 301.93 Days per year 6

More population data for Cajeme

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Frequently asked questions

What is heat stress - cities and fuas — mean population exposure to heat in Cajeme?
Heat stress - cities and fuas — mean population exposure to heat in Cajeme was 301.93 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 Cajeme?
The highest recorded value was 311.51 Days per year in 2014.
What is the lowest heat stress - cities and fuas — mean population exposure to heat recorded in Cajeme?
The lowest recorded value was 234.21 Days per year in 1992.
How does Cajeme rank for heat stress - cities and fuas — mean population exposure to heat?
Cajeme ranks 34th out of 1315 regions with data for 2025.
Is heat stress - cities and fuas — mean population exposure to heat rising or falling in Cajeme?
Over the last ten years it is up 4.2%. The long-run trend across the full record is rising.
Where does this Cajeme 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.

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Heat stress - Cities and FUAs — Mean population exposure to heat in Cajeme. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 08 September 2026, from https://population.statizoid.com/stat/heat-stress-cities-and-fuas-mean-population-exposure-to-heat-stress/cajeme/

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About this data

Indicator
Heat stress - Cities and FUAs — Mean population exposure to heat stress
Unit
Days per year
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
1,326 places, 59,670 data points, 1981–2025
Last refreshed

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