Armenia vs Van: Air pollution - Cities and FUAs — Population exposure to ozone
Air pollution - Cities and FUAs — Population exposure to ozone over time
- Armenia
- Van
How they compare
Van currently reports 241.49 Microgrammes per cubic metre against 48.57 Microgrammes per cubic metre in Armenia, a difference of 192.92 Microgrammes per cubic metre.
That makes Van's figure about 5.0 times Armenia's.
Across all 5 years both countries report, Van has been ahead every year.
Armenia ranks 2nd and Van ranks 2nd of 2 countries.
Van has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher air pollution - cities and fuas — population exposure to ozone, Armenia or Van?
- Van, at 241.49 Microgrammes per cubic metre against 48.57 Microgrammes per cubic metre in Armenia as of 2025.
- What is the difference in air pollution - cities and fuas — population exposure to ozone between Armenia and Van?
- 192.92 Microgrammes per cubic metre, with Van ahead.
- How many years of comparable data are there for Armenia and Van?
- 5 years are reported by both, from 2021 to 2025.
- How do Armenia and Van rank globally for air pollution - cities and fuas — population exposure to ozone?
- Armenia ranks 2nd and Van ranks 2nd of 2 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Air pollution - Cities and FUAs — Population exposure to ozone. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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