Air pollution - Cities and FUAs — Population exposure to nitrogen in Linz

Linz: Air pollution - Cities and FUAs — Population exposure to nitrogen was 44.09 Microgrammes per cubic metre in 2025. ◆ Volatile

Latest (2025)
44.09 Microgrammes per cubic metre
Change on year
down 11.3%
Rank
283rd
of 1324 regions
All-time high
58.91 Microgrammes per cubic metre
in 2021
All-time low
0.3553 Microgrammes per cubic metre
in 2023
Years of data
5
2021–2025

Air pollution - Cities and FUAs — Population exposure to nitrogen in Linz, 2021–2025

02040602021202320252021: 58.9 Microgrammes per cubic metre2022: 52.2 Microgrammes per cubic metre2023: 0.355 Microgrammes per cubic metre2024: 49.7 Microgrammes per cubic metre2025: 44.1 Microgrammes per cubic metre

Source: Organisation for Economic Co-operation and Development. Measured in Microgrammes per cubic metre.

Analysis

Linz recorded 44.09 Microgrammes per cubic metre for air pollution - cities and fuas — population exposure to nitrogen in 2025.

Compared with earlier readings it is down 11.3% on the previous year and down 25.1% over five years.

That places Linz 283rd out of 1324 regions with data for 2025, putting it in the top quarter.

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Frequently asked questions

What is air pollution - cities and fuas — population exposure to nitrogen in Linz?
Air pollution - cities and fuas — population exposure to nitrogen in Linz was 44.09 Microgrammes per cubic metre in 2025, according to Organisation for Economic Co-operation and Development.
What is the highest air pollution - cities and fuas — population exposure to nitrogen recorded in Linz?
The highest recorded value was 58.91 Microgrammes per cubic metre in 2021.
What is the lowest air pollution - cities and fuas — population exposure to nitrogen recorded in Linz?
The lowest recorded value was 0.3553 Microgrammes per cubic metre in 2023.
How does Linz rank for air pollution - cities and fuas — population exposure to nitrogen?
Linz ranks 283rd out of 1324 regions with data for 2025.
Where does this Linz data come from?
The figures come from Organisation for Economic Co-operation and Development, published as part of Air pollution - Cities and FUAs — Population exposure to nitrogen dioxide. Statizoid updates them automatically from the source API.

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Air pollution - Cities and FUAs — Population exposure to nitrogen in Linz. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 17 August 2026, from https://environment.statizoid.com/stat/air-pollution-cities-and-fuas-population-exposure-to-nitrogen-dioxide/linz/

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About this data

Indicator
Air pollution - Cities and FUAs — Population exposure to nitrogen dioxide
Unit
Microgrammes per cubic metre
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
1,326 places, 6,630 data points, 2021–2025
Last refreshed

<p align="justify">This dataset provides indicators of PM2.5, PM10 (particulate matter), ozone and nitrogen dioxide air pollution in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify">Air pollution exposure is estimated using Plume Labs air pollution exposure grids for 3 air pollutants: nitrogen dioxide (NO2), fine particulate matters (PM2.5) and coarse particulate matters (PM10). The OECD obtained this dataset thanks to the Development Data Partnership, a collaboration between international organisations and technology companies, facilitating the efficient and responsible use of third-party data in international development. Average population exposure to air pollution is estimated at the local scale by computing the population-weighted average air pollutant concentration, using the Global Human Settlement Layer population grid (GHS-POP). PlumeLabs is used as it provides global, harmonised air pollution grids ensuring international comparability, complete subnational coverage, and consistent measurement of multiple pollutants, including in areas where national monitoring networks are sparse or incomplete. </p> <p align="justify"> These estimates may differ from official subnational air quality statistics due to differences in methodological approaches, such as the use of modelled, top down pollution surfaces versus ground based monitoring networks, as well as variations in input data sources, spatial resolution, satellite retrieval methods, and the models used to simulate or interpolate pollutant concentrations. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> <p>The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format.</p> <p>The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and four accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dg">Air pollution - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>