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Indonesia · Central Sulawesi · 2 cities

Air quality in Central Sulawesi today The AQI right now, city by city

Right now, Toli-Toli has the cleanest air of the 2 cities we track in Central Sulawesi (AQI 18, Good), and Palu the worst (AQI 49, Good). Toli-Toli has the most tree cover, at 56.5% — #7 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.

cities tracked
2
average tree cover
34.1%
Indonesia: 28.0%
worst air now: Palu
49
cleanest air now: Toli-Toli
18

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 Central Sulawesi, city by city

Current air quality and tree cover for cities in Central Sulawesi, Indonesia
Palu49Good11.7%57.5K#141 of 155
Toli-Toli18Good56.5%—#7 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 Central Sulawesi lost?

Since 2001, Central Sulawesi has lost about 852,000 hectares of forest (about 8,500 km²): 16% of the forest it had in 2000. Most of it (61%) was deforestation, forest cleared for good, mainly for farms, pasture and plantations.

Forest lost since 2001
852,000 haabout 8,500 km²
Share of its forest
16%of what there was in 2000
Cleared for good
518,000 hadeforestation: turned into farms, mines or towns
Forest lost each year in Central Sulawesi, 2001–2025

Hectares of forest lost each year

Forest lost each year in Central Sulawesi, 2001–2025. Use the left and right arrow keys to read each year.90.6K

Show the figures as a table
Forest lost each year in Central Sulawesi, 2001–2025
YearCleared for goodCan grow backTotal
200111,200 ha5,780 ha17,000 ha
200218,900 ha13,300 ha32,200 ha
20039,370 ha10,300 ha19,700 ha
200425,600 ha13,800 ha39,400 ha
200510,100 ha7,580 ha17,700 ha
200619,000 ha11,000 ha30,000 ha
200711,900 ha7,900 ha19,800 ha
200811,300 ha4,840 ha16,100 ha
200937,800 ha12,800 ha50,600 ha
201014,500 ha6,260 ha20,700 ha
201119,000 ha6,310 ha25,300 ha
201225,400 ha10,600 ha36,000 ha
201319,000 ha8,750 ha27,700 ha
201430,300 ha14,900 ha45,200 ha
201543,900 ha46,700 ha90,600 ha
201627,600 ha45,000 ha72,600 ha
201722,500 ha13,500 ha36,100 ha
201822,400 ha14,000 ha36,500 ha
201929,400 ha14,700 ha44,000 ha
202016,800 ha9,040 ha25,900 ha
202113,900 ha7,590 ha21,500 ha
202214,200 ha9,490 ha23,700 ha
202327,900 ha14,300 ha42,200 ha
202416,900 ha11,200 ha28,000 ha
202518,900 ha14,900 ha33,700 ha

Forest loss is slowing down: about 29,800 hectares a year in 2021–2025, down from 43,000 hectares a year in 2016–2020. The worst year was 2015, when about 90,600 hectares of forest were lost.

What is causing deforestation in Central Sulawesi?

  • Farms, pasture and plantationscleared for good58% · 493,000 ha
  • Shifting farmingcan grow back23% · 196,000 ha
  • Wildfirescan grow back8.6% · 73,500 ha

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