China · Shanxi · 14 cities
Air quality in Shanxi today The AQI right now, city by city
Right now, Jiexiu has the cleanest air of the 14 cities we track in Shanxi (AQI 58, Moderate), and Yuncheng the worst (AQI 189, Unhealthy). Lüliang has the most tree cover, at 27.1% — #194 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.
Average right now
AQI 126
Unhealthy for sensitive groups
- cities tracked
- 14
- average tree cover
- 11.0%
- China: 22.9%
- worst air now: Yuncheng
- 189
- cleanest air now: Jiexiu
- 58
Lower is better on the US EPA index: 0–50 is Good, above 300 is Hazardous. Measured by Airleaf, refreshed hourly.
Shanxi · average AQI 126
Air quality today across Shanxi, city by city
| Taiyuan | 122Unhealthy for sensitive groups | 6.7% | 86.0K | #612 of 639 |
|---|---|---|---|---|
| Lüliang | 79Moderate | 27.1% | 9.0K | #194 of 639 |
| Datong | 151Unhealthy | 6.2% | 106K | #620 of 639 |
| Jinzhong | 159Unhealthy | 14.2% | 81.0K | #448 of 639 |
| Changzhi | 117Unhealthy for sensitive groups | 9.9% | 78.7K | #553 of 639 |
| Linfen | 141Unhealthy for sensitive groups | 9.3% | 80.3K | #570 of 639 |
| Yangquan | 161Unhealthy | 26.3% | 42.7K | #206 of 639 |
| Yuncheng | 189Unhealthy | 6.4% | 105K | #617 of 639 |
| Xinzhou | 142Unhealthy for sensitive groups | 5.8% | 91.7K | #627 of 639 |
| Yuanping | 96Moderate | 7.7% | 70.1K | #599 of 639 |
| Jincheng | 124Unhealthy for sensitive groups | 6.5% | 89.4K | #614 of 639 |
| Yongji | 122Unhealthy for sensitive groups | 14.8% | 63.5K | #437 of 639 |
| Shuozhou | 97Moderate | 6.9% | 72.6K | #610 of 639 |
| Jiexiu | 58Moderate | 6.4% | 74.1K | #615 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 Shanxi lost?
Since 2001, Shanxi has lost about 75,900 hectares of forest (about 110,000 football pitches): 3.5% of the forest it had in 2000. The biggest cause was wildfires (37%), after which forest can grow back. About 18,600 hectares (24%) was deforestation: forest cleared for good for farms, mines or towns.
- Forest lost since 2001
- 75,900 haabout 110,000 football pitches
- Share of its forest
- 3.5%of what there was in 2000
- Cleared for good
- 18,600 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 | 916 ha | 3,550 ha | 4,470 ha |
| 2002 | 672 ha | 2,800 ha | 3,470 ha |
| 2003 | 349 ha | 1,220 ha | 1,570 ha |
| 2004 | 760 ha | 1,600 ha | 2,360 ha |
| 2005 | 451 ha | 1,150 ha | 1,600 ha |
| 2006 | 401 ha | 2,220 ha | 2,620 ha |
| 2007 | 1,470 ha | 3,060 ha | 4,530 ha |
| 2008 | 1,200 ha | 1,420 ha | 2,620 ha |
| 2009 | 963 ha | 1,350 ha | 2,310 ha |
| 2010 | 799 ha | 677 ha | 1,480 ha |
| 2011 | 584 ha | 1,410 ha | 1,990 ha |
| 2012 | 2,010 ha | 3,370 ha | 5,380 ha |
| 2013 | 79 ha | 453 ha | 532 ha |
| 2014 | 71 ha | 445 ha | 516 ha |
| 2015 | 33 ha | 130 ha | 163 ha |
| 2016 | 194 ha | 600 ha | 794 ha |
| 2017 | 246 ha | 227 ha | 473 ha |
| 2018 | 119 ha | 220 ha | 339 ha |
| 2019 | 1,160 ha | 6,950 ha | 8,100 ha |
| 2020 | 1,370 ha | 2,180 ha | 3,540 ha |
| 2021 | 727 ha | 868 ha | 1,600 ha |
| 2022 | 838 ha | 519 ha | 1,360 ha |
| 2023 | 769 ha | 504 ha | 1,270 ha |
| 2024 | 774 ha | 7,340 ha | 8,120 ha |
| 2025 | 1,610 ha | 13,100 ha | 14,700 ha |
Forest loss is speeding up: about 5,400 hectares a year in 2021–2025, up from 2,650 hectares a year in 2016–2020. The worst year was 2025, when about 14,700 hectares of forest were lost.
What is causing deforestation in Shanxi?
- Wildfirescan grow back37% · 28,100 ha
- Loggingcan grow back20% · 15,400 ha
- Mining and energycleared for good14% · 10,600 ha
Also: towns and roads, farms, pasture and plantations, 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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