Heat stress - Cities and FUAs — Mean population exposure to heat in Armenia
Armenia: Heat stress - Cities and FUAs — Mean population exposure to heat was 0.5239 Days per year in 2025. ▲ Rising
Heat stress - Cities and FUAs — Mean population exposure to heat in Armenia, 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 Armenia is 0.5239 Days per year, measured in 2025.
Compared with earlier readings it is down 20.9% on the previous year and down 10.4% over ten years.
Over the whole period, heat stress - cities and fuas — mean population exposure to heat in Armenia peaked at 0.6625 Days per year in 2024 and was at its lowest, 0.2723 Days per year, in 1984.
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 Armenia, year by year
| Year | Days per year | Change |
|---|---|---|
| 1981 | 0.3422 Days per year | — |
| 1982 | 0.3962 Days per year | +15.8% |
| 1983 | 0.4647 Days per year | +17.3% |
| 1984 | 0.2723 Days per year | -41.4% |
| 1985 | 0.3646 Days per year | +33.9% |
| 1986 | 0.4012 Days per year | +10.0% |
| 1987 | 0.5419 Days per year | +35.1% |
| 1988 | 0.3879 Days per year | -28.4% |
| 1989 | 0.4186 Days per year | +7.9% |
| 1990 | 0.5112 Days per year | +22.1% |
| 1991 | 0.4784 Days per year | -6.4% |
| 1992 | 0.488 Days per year | +2.0% |
| 1993 | 0.4537 Days per year | -7.0% |
| 1994 | 0.4141 Days per year | -8.7% |
| 1995 | 0.4343 Days per year | +4.9% |
| 1996 | 0.4033 Days per year | -7.1% |
| 1997 | 0.4765 Days per year | +18.1% |
| 1998 | 0.5498 Days per year | +15.4% |
| 1999 | 0.3397 Days per year | -38.2% |
| 2000 | 0.3318 Days per year | -2.3% |
| 2001 | 0.4289 Days per year | +29.3% |
| 2002 | 0.4916 Days per year | +14.6% |
| 2003 | 0.4802 Days per year | -2.3% |
| 2004 | 0.4764 Days per year | -0.8% |
| 2005 | 0.4817 Days per year | +1.1% |
| 2006 | 0.4345 Days per year | -9.8% |
| 2007 | 0.4394 Days per year | +1.1% |
| 2008 | 0.366 Days per year | -16.7% |
| 2009 | 0.4719 Days per year | +29.0% |
| 2010 | 0.4556 Days per year | -3.5% |
| 2011 | 0.4326 Days per year | -5.0% |
| 2012 | 0.5095 Days per year | +17.8% |
| 2013 | 0.5186 Days per year | +1.8% |
| 2014 | 0.5449 Days per year | +5.1% |
| 2015 | 0.5845 Days per year | +7.3% |
| 2016 | 0.5851 Days per year | +0.1% |
| 2017 | 0.5851 Days per year | -0.0% |
| 2018 | 0.5624 Days per year | -3.9% |
| 2019 | 0.6461 Days per year | +14.9% |
| 2020 | 0.5879 Days per year | -9.0% |
| 2021 | 0.5757 Days per year | -2.1% |
| 2022 | 0.4317 Days per year | -25.0% |
| 2023 | 0.6208 Days per year | +43.8% |
| 2024 | 0.6625 Days per year | +6.7% |
| 2025 | 0.5239 Days per year | -20.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 0.3988 Days per year | 0.2723 Days per year | 0.5419 Days per year | 9 |
| 1990s | 0.4549 Days per year | 0.3397 Days per year | 0.5498 Days per year | 10 |
| 2000s | 0.4402 Days per year | 0.3318 Days per year | 0.4916 Days per year | 10 |
| 2010s | 0.5425 Days per year | 0.4326 Days per year | 0.6461 Days per year | 10 |
| 2020s | 0.5671 Days per year | 0.4317 Days per year | 0.6625 Days per year | 6 |
Countries ranked near Armenia
- 1 Luxembourg 14.23 Days per year compare
More population data for Armenia
- Population regions with projections, annual growth rate -0.7088 % change on previous year (2100)
- Urban and rural population 2050, annual growth rate -1.04 % change on previous year (2050)
- Population long run with projections, annual growth rate -0.7088 % change on previous year (2100)
- Un population 2024 vs 2022, annual growth rate -1.25 % change on previous year (2100)
- Africa's Development Dynamics (AfDD) Table 05 - Demographic estimates 2,573 Persons (2050)
- Africa's Development Dynamics (AfDD) Table 03 - Annual population -0.1788 Percent per annum (2030)
- Projected population under age 5, annual growth rate -0.7673 % change on previous year (2100)
- World population growth -0.7% (2100)
- Population density 59.44 people per km² (2100)
- Number of children under 5, by world region 69,060 people (2100)
Frequently asked questions
- What is heat stress - cities and fuas — mean population exposure to heat in Armenia?
- Heat stress - cities and fuas — mean population exposure to heat in Armenia was 0.5239 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 Armenia?
- The highest recorded value was 0.6625 Days per year in 2024.
- What is the lowest heat stress - cities and fuas — mean population exposure to heat recorded in Armenia?
- The lowest recorded value was 0.2723 Days per year in 1984.
- How does Armenia rank for heat stress - cities and fuas — mean population exposure to heat?
- Armenia ranks 2nd out of 2 countries with data for 2025.
- Is heat stress - cities and fuas — mean population exposure to heat rising or falling in Armenia?
- Over the last ten years it is down 10.4%. The long-run trend across the full record is rising.
- Where does this Armenia 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