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Air quality now: Ürümqi

China · Xinjiang · 22 cities

Air quality in Xinjiang today The AQI right now, city by city

Right now, Tacheng has the cleanest air of the 22 cities we track in Xinjiang (AQI 17, Good), and Aqsu the worst (AQI 209, Very unhealthy). Shihezi has the most tree cover, at 37.7% — #83 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 97

Average right now

Moderate

US EPA index, across 22 cities
cities tracked
22
average tree cover
17.0%
China: 22.9%
worst air now: Aqsu
209
cleanest air now: Tacheng
17

Lower is better on the US EPA index: 0–50 is Good, above 300 is Hazardous. Measured by Airleaf, refreshed hourly.

Xinjiang · average AQI 97

Air quality today across Xinjiang, city by city

Current air quality and tree cover for cities in Xinjiang, China
Ürümqi128Unhealthy for sensitive groups21.5%42.0K#282 of 639
Shihezi102Unhealthy for sensitive groups37.7%—#83 of 639
Korla77Moderate21.8%25.8K#274 of 639
Aqsu209Very unhealthy11.1%107K#523 of 639
Kashgar199Unhealthy10.4%89.6K#541 of 639
Gujangbagh82Moderate9.9%62.3K#551 of 639
Huocheng68Moderate12.9%53.7K#476 of 639
Artux74Moderate7.9%69.4K#597 of 639
Xinyuan60Moderate14.6%48.3K#441 of 639
Turpan153Unhealthy9.9%94.6K#549 of 639
Ghulja33Good16.7%41.8K#386 of 639
Karamay91Moderate22.6%23.2K#255 of 639
Hami152Unhealthy21.3%58.7K#287 of 639
Bole76Moderate12.4%55.1K#492 of 639
Changji137Unhealthy for sensitive groups28.5%20.4K#165 of 639
Jinshanlu46Good14.4%49.0K#444 of 639
Tacheng17Good15.7%44.8K#415 of 639
Wujiaqu127Unhealthy for sensitive groups20.1%46.2K#311 of 639
Tumxuk54Moderate18.9%34.9K#345 of 639
Shache126Unhealthy for sensitive groups15.1%62.5K#428 of 639
Ālā'ĕr35Good12.7%54.4K#479 of 639
Xincheng81Moderate19.0%34.6K#343 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 Xinjiang lost?

Since 2001, Xinjiang has lost about 10,100 hectares of forest (about 14,000 football pitches): under 1% of the forest it had in 2000. The biggest cause was wildfires (30%), after which forest can grow back. About 1,000 hectares (10%) was deforestation: forest cleared for good for farms, mines or towns.

Forest lost since 2001
10,100 haabout 14,000 football pitches
Share of its forest
under 1%of what there was in 2000
Cleared for good
1,000 hadeforestation: turned into farms, mines or towns
Forest lost each year in Xinjiang, 2001–2025

Hectares of forest lost each year

Forest lost each year in Xinjiang, 2001–2025. Use the left and right arrow keys to read each year.1.54K

Show the figures as a table
Forest lost each year in Xinjiang, 2001–2025
YearCleared for goodCan grow backTotal
2001106 ha702 ha808 ha
2002188 ha1,350 ha1,540 ha
200334 ha506 ha539 ha
200456 ha730 ha786 ha
200548 ha644 ha692 ha
200690 ha489 ha579 ha
200726 ha358 ha384 ha
200865 ha424 ha488 ha
200937 ha629 ha666 ha
201059 ha567 ha626 ha
201132 ha328 ha360 ha
201250 ha1,110 ha1,160 ha
201320 ha570 ha590 ha
2014under 1 ha35 ha35 ha
2015under 1 haunder 1 haunder 1 ha
201617 ha24 ha41 ha
201722 ha149 ha171 ha
2018under 1 ha7 ha8 ha
20192 ha17 ha19 ha
202042 ha44 ha87 ha
202145 ha59 ha104 ha
20229 ha46 ha56 ha
202314 ha69 ha84 ha
202438 ha157 ha195 ha
20251 ha45 ha46 ha

Forest loss is speeding up: about 97 hectares a year in 2021–2025, up from 65 hectares a year in 2016–2020. The worst year was 2002, when about 1,540 hectares of forest were lost.

What is causing deforestation in Xinjiang?

  • Wildfirescan grow back30% · 3,020 ha
  • Storms, floods and other natural causescan grow back25% · 2,500 ha
  • Loggingcan grow back13% · 1,260 ha

Also: farms, pasture and plantations, mining and energy, towns and roads, 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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