Armenia vs Braga: Heat stress - Cities and FUAs — Mean population exposure to heat
Heat stress - Cities and FUAs — Mean population exposure to heat over time
- Armenia
- Braga
How they compare
Braga currently reports 61.02 Days per year against 0.5239 Days per year in Armenia, a difference of 60.5 Days per year.
That makes Braga's figure about 116.5 times Armenia's.
Across all 45 years both countries report, Braga has been ahead every year.
Armenia ranks 2nd and Braga ranks 5th of 2 countries.
Braga has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Armenia | Braga | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.3988 Days per year | 38.13 Days per year | 37.73 Days per year | Braga |
| 1990s | 0.4549 Days per year | 36.74 Days per year | 36.29 Days per year | Braga |
| 2000s | 0.4402 Days per year | 32.74 Days per year | 32.3 Days per year | Braga |
| 2010s | 0.5425 Days per year | 42.69 Days per year | 42.15 Days per year | Braga |
| 2020s | 0.5671 Days per year | 45.85 Days per year | 45.28 Days per year | Braga |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher heat stress - cities and fuas — mean population exposure to heat, Armenia or Braga?
- Braga, at 61.02 Days per year against 0.5239 Days per year in Armenia as of 2025.
- What is the difference in heat stress - cities and fuas — mean population exposure to heat between Armenia and Braga?
- 60.5 Days per year, with Braga ahead.
- How many years of comparable data are there for Armenia and Braga?
- 45 years are reported by both, from 1981 to 2025.
- How do Armenia and Braga rank globally for heat stress - cities and fuas — mean population exposure to heat?
- Armenia ranks 2nd and Braga ranks 5th of 2 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Heat stress - Cities and FUAs — Mean population exposure to heat stress. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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