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Indonesia · Banten · 6 cities

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

Right now, Serang has the cleanest air of the 6 cities we track in Banten (AQI 93, Moderate), and Cilegon the worst (AQI 98, Moderate). Rangkasbitung has the most tree cover, at 46.4% — #20 of 155 cities measured in Indonesia.

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 96

Moderate

US EPA index, across 6 cities
cities tracked
6
average tree cover
22.1%
Indonesia: 28.0%
worst air now: Cilegon
98
cleanest air now: Serang
93

Lower is better on the US EPA index: 0–50 is Good, above 300 is Hazardous, and it reads differently from Indonesia's ISPU. Measured by Airleaf, refreshed hourly.

Air quality today across Banten, city by city

Current air quality and tree cover for cities in Banten, Indonesia
Tangerang96Moderate10.4%59.4K#149 of 155
South Tangerang96Moderate18.0%37.7K#114 of 155
Serang93Moderate22.1%24.8K#95 of 155
Cilegon98Moderate12.0%56.4K#139 of 155
Curug96Moderate23.9%19.2K#87 of 155
Rangkasbitung95Moderate46.4%—#20 of 155

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 Indonesia.

Is this the same as Indonesia's ISPU?

No. Airleaf shows the US EPA Air Quality Index (AQI), the scale used by IQAir and most air-quality apps. Indonesia's official index is the ISPU (Indeks Standar Pencemar Udara), published by the environment ministry from its own monitoring stations. Its bands are 0–50 Baik (good), 51–100 Sedang (moderate), 101–200 Tidak Sehat (unhealthy), 201–300 Sangat Tidak Sehat (very unhealthy) and over 300 Berbahaya (hazardous). The two indexes use different breakpoints and averaging times, so the same air can score differently on each.

Deforestation · 2001–2025

How much forest has Banten lost?

Since 2001, Banten has lost about 53,400 hectares of forest (about 75,000 football pitches): 9.6% of the forest it had in 2000. Most of it (88%) was deforestation, forest cleared for good, mainly for farms, pasture and plantations.

Forest lost since 2001
53,400 haabout 75,000 football pitches
Share of its forest
9.6%of what there was in 2000
Cleared for good
46,800 hadeforestation: turned into farms, mines or towns
Forest lost each year in Banten, 2001–2025

Hectares of forest lost each year

Forest lost each year in Banten, 2001–2025. Use the left and right arrow keys to read each year.4.28K

Show the figures as a table
Forest lost each year in Banten, 2001–2025
YearCleared for goodCan grow backTotal
2001768 ha266 ha1,030 ha
20021,460 ha290 ha1,750 ha
2003220 ha72 ha292 ha
20041,070 ha320 ha1,390 ha
2005415 ha121 ha536 ha
20061,680 ha253 ha1,930 ha
2007951 ha95 ha1,050 ha
2008799 ha118 ha917 ha
20092,560 ha172 ha2,730 ha
20101,510 ha114 ha1,630 ha
20112,180 ha112 ha2,290 ha
20123,100 ha172 ha3,270 ha
20131,660 ha143 ha1,810 ha
20141,900 ha372 ha2,270 ha
20152,310 ha340 ha2,650 ha
20161,630 ha312 ha1,950 ha
20172,790 ha672 ha3,460 ha
20182,920 ha452 ha3,370 ha
20193,730 ha550 ha4,280 ha
20201,740 ha282 ha2,020 ha
20211,730 ha168 ha1,900 ha
20221,380 ha163 ha1,540 ha
20233,420 ha289 ha3,710 ha
20242,820 ha399 ha3,220 ha
20252,070 ha296 ha2,370 ha

Forest loss has stayed about the same: about 2,550 hectares a year in 2021–2025, against 3,010 hectares a year in 2016–2020. The worst year was 2019, when about 4,280 hectares of forest were lost.

What is causing deforestation in Banten?

  • Farms, pasture and plantationscleared for good83% · 44,100 ha
  • Shifting farmingcan grow back9% · 4,820 ha
  • Towns and roadscleared for good3.6% · 1,940 ha

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