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China · Jiangxi · 15 cities

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

Right now, Jianchang has the cleanest air of the 15 cities we track in Jiangxi (AQI 41, Good), and Yingtan the worst (AQI 115, Unhealthy for sensitive groups). Pengze has the most tree cover, at 58.1% — #16 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 75

Moderate

US EPA index, across 15 cities
cities tracked
15
average tree cover
21.7%
China: 22.9%
worst air now: Yingtan
115
cleanest air now: Jianchang
41

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

Jiangxi · average AQI 75

Air quality today across Jiangxi, city by city

Current air quality and tree cover for cities in Jiangxi, China
Nanchang102Unhealthy for sensitive groups26.2%19.0K#210 of 639
Ganzhou75Moderate19.4%30.2K#330 of 639
Jiujiang82Moderate20.2%29.5K#310 of 639
Shangrao82Moderate20.0%28.7K#316 of 639
Fuzhou, Jiangxi90Moderate21.2%27.3K#290 of 639
Yichun67Moderate32.9%—#125 of 639
Pingxiang69Moderate30.8%—#141 of 639
Xinyu70Moderate15.2%45.2K#426 of 639
Ji’an71Moderate11.2%49.8K#522 of 639
Jingdezhen84Moderate16.1%41.9K#405 of 639
Pengze51Moderate58.1%—#16 of 639
Yingtan115Unhealthy for sensitive groups15.6%58.2K#417 of 639
Jinfeng65Moderate11.7%57.2K#510 of 639
Jianchang41Good9.9%55.4K#556 of 639
Bashan57Moderate17.5%38.4K#375 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 Jiangxi lost?

Since 2001, Jiangxi has lost about 1.22 million hectares of forest (about 12,000 km²): 14% of the forest it had in 2000. Most of it was lost to logging, so much of it can grow back. About 161,000 hectares (13%) was deforestation: forest cleared for good for farms, mines or towns.

Forest lost since 2001
1.22 million haabout 12,000 km²
Share of its forest
14%of what there was in 2000
Cleared for good
161,000 hadeforestation: turned into farms, mines or towns
Forest lost each year in Jiangxi, 2001–2025

Hectares of forest lost each year

Forest lost each year in Jiangxi, 2001–2025. Use the left and right arrow keys to read each year.87.8K

Show the figures as a table
Forest lost each year in Jiangxi, 2001–2025
YearCleared for goodCan grow backTotal
2001912 ha7,020 ha7,930 ha
20021,440 ha8,240 ha9,680 ha
20032,470 ha8,150 ha10,600 ha
20044,800 ha23,700 ha28,500 ha
20053,610 ha20,300 ha23,900 ha
20065,840 ha28,100 ha34,000 ha
20075,730 ha32,400 ha38,200 ha
20086,240 ha59,800 ha66,100 ha
20095,950 ha55,300 ha61,200 ha
20105,280 ha45,100 ha50,300 ha
20117,660 ha43,700 ha51,400 ha
20128,020 ha59,300 ha67,300 ha
20135,510 ha44,100 ha49,600 ha
20147,040 ha55,100 ha62,100 ha
20157,700 ha60,000 ha67,700 ha
201611,600 ha76,200 ha87,800 ha
201711,000 ha57,600 ha68,700 ha
20189,560 ha49,300 ha58,800 ha
20198,290 ha39,100 ha47,400 ha
20206,570 ha32,100 ha38,700 ha
20216,030 ha45,800 ha51,800 ha
20226,850 ha51,300 ha58,100 ha
20238,090 ha58,700 ha66,800 ha
20248,890 ha53,600 ha62,500 ha
20256,020 ha40,700 ha46,700 ha

Forest loss has stayed about the same: about 57,200 hectares a year in 2021–2025, against 60,300 hectares a year in 2016–2020. The worst year was 2016, when about 87,800 hectares of forest were lost.

What is causing deforestation in Jiangxi?

  • Loggingcan grow back85% · 1.03 million ha
  • Towns and roadscleared for good5.6% · 68,500 ha
  • Farms, pasture and plantationscleared for good4.6% · 55,600 ha

Also: mining and energy, wildfires, storms, floods and other natural causes, 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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