China · Shaanxi · 14 cities
Air quality in Shaanxi today The AQI right now, city by city
Right now, Wayaobu has the cleanest air of the 14 cities we track in Shaanxi (AQI 54, Moderate), and Xianyang the worst (AQI 185, Unhealthy). Yan’an has the most tree cover, at 54.3% — #24 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 135
Average right now
Unhealthy for sensitive groups
- cities tracked
- 14
- average tree cover
- 22.4%
- China: 22.9%
- worst air now: Xianyang
- 185
- cleanest air now: Wayaobu
- 54
Lower is better on the US EPA index: 0–50 is Good, above 300 is Hazardous. Measured by Airleaf, refreshed hourly.
Shaanxi · average AQI 135
Air quality today across Shaanxi, city by city
| Xi’an | 181Unhealthy | 16.6% | 73.4K | #391 of 639 |
|---|---|---|---|---|
| Baoji | 167Unhealthy | 26.4% | 42.3K | #204 of 639 |
| Weinan | 182Unhealthy | 19.2% | 65.0K | #335 of 639 |
| Xianyang | 185Unhealthy | 15.2% | 73.2K | #425 of 639 |
| Hanzhong | 163Unhealthy | 12.9% | 85.1K | #477 of 639 |
| Ankang | 80Moderate | 48.5% | — | #40 of 639 |
| Shangluo | 86Moderate | 27.7% | 7.2K | #181 of 639 |
| Yan’an | 96Moderate | 54.3% | — | #24 of 639 |
| Tongchuan | 176Unhealthy | 16.5% | 73.8K | #395 of 639 |
| Hancheng | 98Moderate | 12.0% | 56.5K | #501 of 639 |
| Huayin | 154Unhealthy | 10.0% | 94.2K | #548 of 639 |
| Tongchuanshi | 149Unhealthy for sensitive groups | 21.4% | 42.7K | #284 of 639 |
| Chenggu | 122Unhealthy for sensitive groups | 12.3% | 70.5K | #495 of 639 |
| Wayaobu | 54Moderate | 21.2% | 27.6K | #289 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 Shaanxi lost?
Since 2001, Shaanxi has lost about 39,500 hectares of forest (about 55,000 football pitches): under 1% of the forest it had in 2000. The biggest cause was logging (35%), after which forest can grow back. About 15,900 hectares (40%) was deforestation: forest cleared for good for farms, mines or towns.
- Forest lost since 2001
- 39,500 haabout 55,000 football pitches
- Share of its forest
- under 1%of what there was in 2000
- Cleared for good
- 15,900 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 | 184 ha | 1,050 ha | 1,230 ha |
| 2002 | 747 ha | 3,010 ha | 3,750 ha |
| 2003 | 115 ha | 439 ha | 554 ha |
| 2004 | 439 ha | 1,720 ha | 2,160 ha |
| 2005 | 297 ha | 1,110 ha | 1,410 ha |
| 2006 | 376 ha | 943 ha | 1,320 ha |
| 2007 | 474 ha | 1,990 ha | 2,470 ha |
| 2008 | 415 ha | 940 ha | 1,360 ha |
| 2009 | 555 ha | 404 ha | 959 ha |
| 2010 | 747 ha | 1,180 ha | 1,930 ha |
| 2011 | 366 ha | 575 ha | 941 ha |
| 2012 | 413 ha | 926 ha | 1,340 ha |
| 2013 | 375 ha | 586 ha | 961 ha |
| 2014 | 223 ha | 252 ha | 475 ha |
| 2015 | 131 ha | 67 ha | 198 ha |
| 2016 | 778 ha | 419 ha | 1,200 ha |
| 2017 | 885 ha | 600 ha | 1,490 ha |
| 2018 | 656 ha | 502 ha | 1,160 ha |
| 2019 | 1,770 ha | 1,110 ha | 2,870 ha |
| 2020 | 1,210 ha | 833 ha | 2,040 ha |
| 2021 | 771 ha | 507 ha | 1,280 ha |
| 2022 | 1,240 ha | 1,050 ha | 2,290 ha |
| 2023 | 1,050 ha | 504 ha | 1,550 ha |
| 2024 | 1,010 ha | 441 ha | 1,450 ha |
| 2025 | 692 ha | 2,430 ha | 3,120 ha |
Forest loss has stayed about the same: about 1,940 hectares a year in 2021–2025, against 1,750 hectares a year in 2016–2020. The worst year was 2002, when about 3,750 hectares of forest were lost.
What is causing deforestation in Shaanxi?
- Loggingcan grow back35% · 14,000 ha
- Towns and roadscleared for good18% · 7,110 ha
- Mining and energycleared for good11% · 4,440 ha
Also: farms, pasture and plantations, storms, floods and other natural causes, wildfires, shifting farming, 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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