Air pollution - Cities and FUAs — Population exposure to PM10 in Santa Cruz de Tenerife
Santa Cruz de Tenerife: Air pollution - Cities and FUAs — Population exposure to PM10 was 94.35 Microgrammes per cubic metre in 2025. ◆ Volatile
Air pollution - Cities and FUAs — Population exposure to PM10 in Santa Cruz de Tenerife, 2021–2025
Source: Organisation for Economic Co-operation and Development. Measured in Microgrammes per cubic metre.
Analysis
The most recent figure for air pollution - cities and fuas — population exposure to pm10 in Santa Cruz de Tenerife is 94.35 Microgrammes per cubic metre, measured in 2025.
The figure is down 29.7% on the previous year and up 6.5% over five years.
Santa Cruz de Tenerife ranks 50th of 1316 regions on this measure, in the top 10%.
Air pollution - Cities and FUAs — Population exposure to PM10 in Santa Cruz de Tenerife, year by year
| Year | Microgrammes per cubic metre | Change |
|---|---|---|
| 2021 | 88.57 Microgrammes per cubic metre | — |
| 2022 | 114.31 Microgrammes per cubic metre | +29.1% |
| 2023 | 0.4888 Microgrammes per cubic metre | -99.6% |
| 2024 | 134.15 Microgrammes per cubic metre | +27341.4% |
| 2025 | 94.35 Microgrammes per cubic metre | -29.7% |
More environment data for Santa Cruz de Tenerife
- Drought - Cities and FUAs — Land soil moisture anomaly -4.3 Percentage change (2025)
- Greenhouse gas emissions - Cities and FUAs — GHG emissions from waste 0.01 Tonnes of CO2-equivalent (2024)
- Total and environment-related patents - FUAs — Patent applications 5.3 Patents (2022)
- Land surface temperature - Cities and FUAs — Daytime summer land 30.9 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Daytime winter land 23.12 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Daytime yearly land 27.39 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Nighttime summer land 15.37 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Nighttime winter land 13.33 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Nighttime yearly land 14.58 Degrees celsius (2024)
- Air pollution - Cities and FUAs — Population exposure to nitrogen 1.78 Microgrammes per cubic metre (2025)
Frequently asked questions
- What is air pollution - cities and fuas — population exposure to pm10 in Santa Cruz de Tenerife?
- Air pollution - cities and fuas — population exposure to pm10 in Santa Cruz de Tenerife was 94.35 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 pm10 recorded in Santa Cruz de Tenerife?
- The highest recorded value was 134.15 Microgrammes per cubic metre in 2024.
- What is the lowest air pollution - cities and fuas — population exposure to pm10 recorded in Santa Cruz de Tenerife?
- The lowest recorded value was 0.4888 Microgrammes per cubic metre in 2023.
- How does Santa Cruz de Tenerife rank for air pollution - cities and fuas — population exposure to pm10?
- Santa Cruz de Tenerife ranks 50th out of 1316 regions with data for 2025.
- Where does this Santa Cruz de Tenerife 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 PM10. 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