Annual mean levels of fine particulate matter (population-weighted) in Russian Federation
Russian Federation: Annual mean levels of fine particulate matter (population-weighted) was 7.36 µg/m³ in 2023. ▼ Falling
Annual mean levels of fine particulate matter (population-weighted) in Russian Federation, 2010–2023
Source: United Nations Statistics Division, SDG Global Database. Measured in µg/m³.
Analysis
In 2023, annual mean levels of fine particulate matter (population-weighted) in Russian Federation stood at 7.36 µg/m³.
That represents a change of up 0.2% on the previous year and down 30.3% over ten years.
Over the whole period, annual mean levels of fine particulate matter (population-weighted) in Russian Federation peaked at 11.78 µg/m³ in 2010 and was at its lowest, 7.35 µg/m³, in 2022.
That places Russian Federation 203rd out of 254 countries with data for 2023, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 14 years of available data.
Annual mean levels of fine particulate matter (population-weighted) in Russian Federation, year by year
| Year | µg/m³ | Change |
|---|---|---|
| 2010 | 11.78 µg/m³ | — |
| 2011 | 9.96 µg/m³ | -15.5% |
| 2012 | 10.16 µg/m³ | +2.0% |
| 2013 | 10.56 µg/m³ | +4.0% |
| 2014 | 10.51 µg/m³ | -0.5% |
| 2015 | 8.94 µg/m³ | -14.9% |
| 2016 | 8.33 µg/m³ | -6.8% |
| 2017 | 8.2 µg/m³ | -1.7% |
| 2018 | 9.03 µg/m³ | +10.2% |
| 2019 | 8.69 µg/m³ | -3.7% |
| 2020 | 8.28 µg/m³ | -4.8% |
| 2021 | 8.44 µg/m³ | +1.9% |
| 2022 | 7.35 µg/m³ | -12.9% |
| 2023 | 7.36 µg/m³ | +0.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 9.62 µg/m³ | 8.2 µg/m³ | 11.78 µg/m³ | 10 |
| 2020s | 7.86 µg/m³ | 7.35 µg/m³ | 8.44 µg/m³ | 4 |
Countries ranked near Russian Federation
- 200 Saint Kitts and Nevis 7.69 µg/m³ compare
- 201 Dominica 7.63 µg/m³ compare
- 202 Saint Martin (French Part) 7.61 µg/m³ compare
- 203 Russian Federation 7.36 µg/m³ compare
- 205 Guam 7.3 µg/m³ compare
- 206 Bermuda 7.28 µg/m³ compare
More development goals data for Russian Federation
- Red List Index 0.9416 index (2025)
- Number of refugees per 100,000 population, by country of origin 67.69 per 100,000 people (2025)
- Manufacturing value added per capita 1,678 constant US$ (2025)
- Number of transboundary breeds 118 (2025)
- Number of transboundary breeds (not extinct) 101 (2025)
- Number of transboundary breeds with unknown risk status 45 (2025)
- Number of local breeds with unknown risk status 81 (2025)
- Number of local breeds (not extinct) 150 (2025)
- Number of local breeds kept in the country 270 (2025)
- Infant deaths 5,300 (2024)
Frequently asked questions
- What is annual mean levels of fine particulate matter (population-weighted) in Russian Federation?
- Annual mean levels of fine particulate matter (population-weighted) in Russian Federation was 7.36 µg/m³ in 2023, according to United Nations Statistics Division, SDG Global Database.
- What is the highest annual mean levels of fine particulate matter (population-weighted) recorded in Russian Federation?
- The highest recorded value was 11.78 µg/m³ in 2010.
- What is the lowest annual mean levels of fine particulate matter (population-weighted) recorded in Russian Federation?
- The lowest recorded value was 7.35 µg/m³ in 2022.
- How does Russian Federation rank for annual mean levels of fine particulate matter (population-weighted)?
- Russian Federation ranks 203rd out of 254 countries with data for 2023.
- Is annual mean levels of fine particulate matter (population-weighted) rising or falling in Russian Federation?
- Over the last ten years it is down 30.3%. The long-run trend across the full record is falling.
- Where does this Russian Federation data come from?
- The figures come from United Nations Statistics Division, SDG Global Database, published as part of Annual mean levels of fine particulate matter (population-weighted), by location (micrograms per cubic meter). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 14 observations, free to reuse under UN SDG Global Database (open, attribution requested).