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Air quality now: Guangzhou

China · Guangdong · 62 cities

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

Right now, Huacheng has the cleanest air of the 62 cities we track in Guangdong (AQI 23, Good), and Encheng the worst (AQI 151, Unhealthy). Lianjiang has the most tree cover, at 70.7% — #6 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 89

Average right now

Moderate

US EPA index, across 62 cities
cities tracked
62
average tree cover
25.8%
China: 22.9%
worst air now: Encheng
151
cleanest air now: Huacheng
23

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

Guangdong · average AQI 89

Air quality today across Guangdong, city by city

Current air quality and tree cover for cities in Guangdong, China
Guangzhou116Unhealthy for sensitive groups17.2%51.2K#379 of 639
Shenzhen104Unhealthy for sensitive groups35.6%—#104 of 639
Dongguan122Unhealthy for sensitive groups31.0%12.6K#137 of 639
Foshan137Unhealthy for sensitive groups25.1%31.1K#227 of 639
Bao'an112Unhealthy for sensitive groups30.8%11.6K#142 of 639
Zhongshan102Unhealthy for sensitive groups26.7%25.9K#201 of 639
Shantou60Moderate22.2%16.1K#266 of 639
Huizhou122Unhealthy for sensitive groups31.5%8.5K#134 of 639
Yunfu87Moderate37.0%—#92 of 639
Zhuhai109Unhealthy for sensitive groups44.1%—#55 of 639
Puning66Moderate8.7%66.8K#581 of 639
Jieyang62Moderate10.7%50.6K#534 of 639
Jiangmen118Unhealthy for sensitive groups23.9%34.3K#241 of 639
Chaozhou69Moderate13.4%50.3K#466 of 639
Qingyuan69Moderate22.5%16.9K#258 of 639
Zhaoqing92Moderate16.3%28.7K#400 of 639
Zhanjiang74Moderate25.1%15.4K#226 of 639
Lianjiang64Moderate70.7%—#6 of 639
Maoming72Moderate27.3%8.4K#190 of 639
Yangjiang112Unhealthy for sensitive groups15.1%60.5K#430 of 639
Shaoguan92Moderate27.7%5.9K#180 of 639
Xinyi107Unhealthy for sensitive groups50.8%—#35 of 639
Meizhou74Moderate17.5%31.6K#374 of 639
Wuchuan79Moderate35.8%—#100 of 639
Changsha, Guangdong142Unhealthy for sensitive groups12.5%63.5K#490 of 639
Shanwei70Moderate21.1%18.3K#292 of 639
Heyuan61Moderate23.3%18.2K#250 of 639
Tanzhou109Unhealthy for sensitive groups19.7%47.3K#318 of 639
Tantou118Unhealthy for sensitive groups16.4%58.4K#398 of 639
Gaozhou133Unhealthy for sensitive groups20.9%43.6K#294 of 639
Xingning27Good29.4%1.9K#152 of 639
Donghai109Unhealthy for sensitive groups15.2%61.5K#422 of 639
Shijie118Unhealthy for sensitive groups17.9%47.4K#362 of 639
Huanggang64Moderate27.1%8.8K#193 of 639
Longgang114Unhealthy for sensitive groups27.0%25.1K#196 of 639
Daliang98Moderate23.7%19.5K#245 of 639
Humen119Unhealthy for sensitive groups13.1%65.8K#470 of 639
Jing’an128Unhealthy for sensitive groups27.4%21.6K#186 of 639
Licheng84Moderate35.5%—#105 of 639
Anbu60Moderate14.1%48.9K#450 of 639
Sanshui132Unhealthy for sensitive groups29.8%14.1K#148 of 639
Yangchun92Moderate24.5%16.5K#234 of 639
Chenghua58Moderate12.6%49.8K#485 of 639
Taishan40Good35.1%—#106 of 639
Shuizhai27Good21.5%25.8K#280 of 639
Jieshi109Unhealthy for sensitive groups17.5%50.7K#373 of 639
Shiqiao92Moderate20.6%29.3K#301 of 639
Hepo73Moderate28.4%4.9K#169 of 639
Nantou107Unhealthy for sensitive groups11.1%73.7K#524 of 639
Jiazi51Moderate20.0%22.0K#314 of 639
Danshui92Moderate20.0%31.3K#313 of 639
Huicheng46Good28.0%6.3K#175 of 639
Haimen58Moderate23.7%11.6K#244 of 639
Lecheng84Moderate27.1%8.5K#191 of 639
Luoyang, Guangdong80Moderate28.5%4.1K#162 of 639
Dasha99Moderate27.3%8.3K#188 of 639
Anliu28Good46.3%—#47 of 639
Pingshan107Unhealthy for sensitive groups27.5%22.4K#184 of 639
Maba84Moderate35.9%—#99 of 639
Encheng151Unhealthy28.0%35.9K#174 of 639
Shaping88Moderate23.2%21.0K#251 of 639
Huacheng23Good51.6%—#33 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 Guangdong lost?

Since 2001, Guangdong has lost about 2 million hectares of forest (about 20,000 km²): 23% of the forest it had in 2000. Most of it was lost to logging, so much of it can grow back. About 157,000 hectares (7.9%) was deforestation: forest cleared for good for farms, mines or towns.

Forest lost since 2001
2 million haabout 20,000 km²
Share of its forest
23%of what there was in 2000
Cleared for good
157,000 hadeforestation: turned into farms, mines or towns
Forest lost each year in Guangdong, 2001–2025

Hectares of forest lost each year

Forest lost each year in Guangdong, 2001–2025. Use the left and right arrow keys to read each year.149K

Show the figures as a table
Forest lost each year in Guangdong, 2001–2025
YearCleared for goodCan grow backTotal
20013,020 ha23,300 ha26,300 ha
20022,930 ha26,700 ha29,700 ha
20032,540 ha24,900 ha27,500 ha
20045,540 ha63,100 ha68,700 ha
20054,620 ha55,200 ha59,800 ha
20065,720 ha88,400 ha94,100 ha
20079,160 ha114,000 ha123,000 ha
20088,130 ha110,000 ha118,000 ha
20098,170 ha82,700 ha90,900 ha
20107,980 ha70,400 ha78,400 ha
20119,180 ha88,600 ha97,800 ha
20126,970 ha84,700 ha91,700 ha
20135,240 ha84,100 ha89,300 ha
20145,960 ha105,000 ha111,000 ha
20155,550 ha102,000 ha107,000 ha
20169,500 ha140,000 ha149,000 ha
20179,480 ha93,300 ha103,000 ha
20187,560 ha84,100 ha91,700 ha
20196,200 ha59,900 ha66,100 ha
20204,650 ha44,900 ha49,600 ha
20215,350 ha55,700 ha61,100 ha
20225,450 ha66,100 ha71,500 ha
20235,920 ha52,900 ha58,800 ha
20246,520 ha62,700 ha69,200 ha
20256,090 ha59,800 ha65,900 ha

Forest loss is slowing down: about 65,300 hectares a year in 2021–2025, down from 91,900 hectares a year in 2016–2020. The worst year was 2016, when about 149,000 hectares of forest were lost.

What is causing deforestation in Guangdong?

  • Loggingcan grow back91% · 1.81 million ha
  • Towns and roadscleared for good3.7% · 73,500 ha
  • Farms, pasture and plantationscleared for good2.8% · 56,700 ha

Also: mining and energy, wildfires, shifting farming, 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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