Air pollution - Cities and FUAs — Population exposure to ozone in Kingston upon Hull
Kingston upon Hull: Air pollution - Cities and FUAs — Population exposure to ozone was 85.6 Microgrammes per cubic metre in 2025. ◆ Volatile
Air pollution - Cities and FUAs — Population exposure to ozone in Kingston upon Hull, 2021–2025
Source: Organisation for Economic Co-operation and Development. Measured in Microgrammes per cubic metre.
Analysis
In 2025, air pollution - cities and fuas — population exposure to ozone in Kingston upon Hull stood at 85.6 Microgrammes per cubic metre.
That represents a change of down 5.9% on the previous year and down 10.1% over five years.
That places Kingston upon Hull 602nd out of 1316 regions with data for 2025, putting it in the middle of the range.
Air pollution - Cities and FUAs — Population exposure to ozone in Kingston upon Hull, year by year
| Year | Microgrammes per cubic metre | Change |
|---|---|---|
| 2021 | 95.23 Microgrammes per cubic metre | — |
| 2022 | 89.59 Microgrammes per cubic metre | -5.9% |
| 2023 | 0.0648 Microgrammes per cubic metre | -99.9% |
| 2024 | 90.99 Microgrammes per cubic metre | +140417.6% |
| 2025 | 85.6 Microgrammes per cubic metre | -5.9% |
More environment data for Kingston upon Hull
- Drought - Cities and FUAs — Land soil moisture anomaly -10 Percentage change (2025)
- Greenhouse gas emissions - Cities and FUAs — GHG emissions from waste 0.01 Tonnes of CO2-equivalent (2024)
- Land surface temperature - Cities and FUAs — Daytime summer land 27.24 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Daytime winter land 5.48 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Daytime yearly land 15.89 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Nighttime summer land 11.62 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Nighttime winter land 1.26 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Nighttime yearly land 5.74 Degrees celsius (2024)
- Air pollution - Cities and FUAs — Population exposure to nitrogen 42.15 Microgrammes per cubic metre (2025)
- Air pollution - Cities and FUAs — Population exposure to PM10 34.65 Microgrammes per cubic metre (2025)
Frequently asked questions
- What is air pollution - cities and fuas — population exposure to ozone in Kingston upon Hull?
- Air pollution - cities and fuas — population exposure to ozone in Kingston upon Hull was 85.6 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 ozone recorded in Kingston upon Hull?
- The highest recorded value was 95.23 Microgrammes per cubic metre in 2021.
- What is the lowest air pollution - cities and fuas — population exposure to ozone recorded in Kingston upon Hull?
- The lowest recorded value was 0.0648 Microgrammes per cubic metre in 2023.
- How does Kingston upon Hull rank for air pollution - cities and fuas — population exposure to ozone?
- Kingston upon Hull ranks 602nd out of 1316 regions with data for 2025.
- Where does this Kingston upon Hull 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 ozone. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 5 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
This dataset provides indicators of PM2.5, PM10 (particulate matter), ozone and nitrogen dioxide air pollution in FUAs and cities. Data sources and methodology 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. 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. 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 four accession countries. Cite this dataset OECD Regions, cities and local areas database (Air pollution - 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