China · Shanghai · 14 cities
Air quality in Shanghai today The AQI right now, city by city
Right now, Fengxian has the cleanest air of the 14 cities we track in Shanghai (AQI 69, Moderate), and Xinqiao the worst (AQI 102, Unhealthy for sensitive groups). Songjiang has the most tree cover, at 37.4% — #87 of 639 cities measured in China.
Every city is measured the same way, over the same 2 km around its center: the air quality right now, from ground stations where there are any, and its tree cover.
AQI 87
Average right now
Moderate
- cities tracked
- 14
- average tree cover
- 25.8%
- China: 22.9%
- worst air now: Xinqiao
- 102
- cleanest air now: Fengxian
- 69
Lower is better on the US EPA index: 0–50 is Good, above 300 is Hazardous. Measured by Airleaf, refreshed hourly.
Shanghai · average AQI 87
Air quality today across Shanghai, city by city
| Shanghai | 87Moderate | 28.9% | 3.5K | #157 of 639 |
|---|---|---|---|---|
| Minhang | 82Moderate | 32.9% | — | #124 of 639 |
| Baoshan | 93Moderate | 23.7% | 12.5K | #247 of 639 |
| Songjiang | 102Unhealthy for sensitive groups | 37.4% | — | #87 of 639 |
| Jiading | 84Moderate | 25.3% | 14.7K | #223 of 639 |
| Qingpu | 91Moderate | 21.6% | 26.0K | #278 of 639 |
| Fengxian | 69Moderate | 28.7% | 4.1K | #159 of 639 |
| Jinshan | 77Moderate | 28.7% | 4.1K | #160 of 639 |
| Dachang | 87Moderate | 15.5% | 45.6K | #418 of 639 |
| Changzheng | 82Moderate | 28.0% | 6.3K | #176 of 639 |
| Xinqiao | 102Unhealthy for sensitive groups | 24.6% | 32.7K | #231 of 639 |
| Zhujing | 79Moderate | 25.4% | 14.2K | #221 of 639 |
| Luodian | 95Moderate | 19.6% | 32.7K | #321 of 639 |
| Chengqiao | 92Moderate | 20.3% | 26.5K | #305 of 639 |
Air quality is the US AQI from ground monitoring stations via OpenAQ where available, otherwise the Open-Meteo / CAMS model, refreshed hourly. Tree cover is measured within 2 km of each city center from Sentinel-2 imagery; the rank compares every city measured in China.
Deforestation · 2001–2025
How much forest has Shanghai lost?
Since 2001, Shanghai has lost about 38 hectares of forest (about 54 football pitches): 1.5% of the forest it had in 2000. The biggest cause was farms, pasture and plantations (24%). About 16 hectares (40%) was deforestation: forest cleared for good for farms, mines or towns.
- Forest lost since 2001
- 38 haabout 54 football pitches
- Share of its forest
- 1.5%of what there was in 2000
- Cleared for good
- 16 hadeforestation: turned into farms, mines or towns
Hectares of forest lost each year
Show the figures as a table
| Year | Cleared for good | Can grow back | Total |
|---|---|---|---|
| 2001 | under 1 ha | 3 ha | 3 ha |
| 2002 | under 1 ha | under 1 ha | under 1 ha |
| 2003 | under 1 ha | 1 ha | 1 ha |
| 2004 | under 1 ha | 1 ha | 2 ha |
| 2005 | under 1 ha | 3 ha | 3 ha |
| 2006 | under 1 ha | under 1 ha | under 1 ha |
| 2007 | under 1 ha | under 1 ha | 1 ha |
| 2008 | under 1 ha | 1 ha | 1 ha |
| 2009 | under 1 ha | 2 ha | 2 ha |
| 2010 | under 1 ha | under 1 ha | under 1 ha |
| 2011 | under 1 ha | under 1 ha | 1 ha |
| 2012 | under 1 ha | under 1 ha | 2 ha |
| 2013 | under 1 ha | under 1 ha | under 1 ha |
| 2014 | under 1 ha | under 1 ha | under 1 ha |
| 2015 | under 1 ha | under 1 ha | under 1 ha |
| 2016 | 3 ha | 1 ha | 4 ha |
| 2017 | 2 ha | under 1 ha | 2 ha |
| 2018 | under 1 ha | under 1 ha | under 1 ha |
| 2019 | 1 ha | under 1 ha | 1 ha |
| 2020 | under 1 ha | under 1 ha | 2 ha |
| 2021 | under 1 ha | 1 ha | 2 ha |
| 2022 | under 1 ha | under 1 ha | under 1 ha |
| 2023 | 2 ha | under 1 ha | 3 ha |
| 2024 | 2 ha | under 1 ha | 3 ha |
| 2025 | under 1 ha | 2 ha | 2 ha |
The worst year was 2016, when about 4 hectares of forest were lost.
What is causing deforestation in Shanghai?
- Farms, pasture and plantationscleared for good24% · 9 ha
- Towns and roadscleared for good17% · 6 ha
- Loggingcan grow back9.1% · 4 ha
Also: storms, floods and other natural causes, unknown causes.
Causes for 2025 are estimates, based on what caused forest loss in the same places up to 2024.
Source: Hansen/UMD/Google/USGS/NASA, Global Forest Change (GFC-2025-v1.13); causes: WRI/Google DeepMind drivers of forest loss; both CC BY 4.0, summed by Airleaf for each area. How it's measured
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