Indonesia · Southeast Sulawesi · 2 cities
Air quality in Southeast Sulawesi today The AQI right now, city by city
Right now, Baubau has the cleanest air of the 2 cities we track in Southeast Sulawesi (AQI 52, Moderate), and Kendari the worst (AQI 58, Moderate). Baubau has the most tree cover, at 26.1% — #73 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
- 22.8%
- Indonesia: 28.0%
- worst air now: Kendari
- 58
- cleanest air now: Baubau
- 52
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.
Southeast Sulawesi
Air quality today across Southeast Sulawesi, city by city
| Kendari | 58Moderate | 19.4% | 31.9K | #108 of 155 |
|---|---|---|---|---|
| Baubau | 52Moderate | 26.1% | 8.7K | #73 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 Southeast Sulawesi lost?
Since 2001, Southeast Sulawesi has lost about 559,000 hectares of forest (about 5,600 km²): 19% of the forest it had in 2000. Most of it (86%) was deforestation, forest cleared for good, mainly for farms, pasture and plantations.
- Forest lost since 2001
- 559,000 haabout 5,600 km²
- Share of its forest
- 19%of what there was in 2000
- Cleared for good
- 481,000 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 | 13,100 ha | 2,040 ha | 15,100 ha |
| 2002 | 12,400 ha | 2,730 ha | 15,100 ha |
| 2003 | 10,800 ha | 2,130 ha | 12,900 ha |
| 2004 | 34,500 ha | 6,080 ha | 40,600 ha |
| 2005 | 13,900 ha | 2,050 ha | 15,900 ha |
| 2006 | 37,800 ha | 5,260 ha | 43,000 ha |
| 2007 | 8,100 ha | 1,560 ha | 9,660 ha |
| 2008 | 7,550 ha | 648 ha | 8,190 ha |
| 2009 | 25,600 ha | 2,420 ha | 28,100 ha |
| 2010 | 5,970 ha | 1,180 ha | 7,150 ha |
| 2011 | 19,200 ha | 1,690 ha | 20,900 ha |
| 2012 | 19,500 ha | 1,750 ha | 21,300 ha |
| 2013 | 13,400 ha | 1,380 ha | 14,800 ha |
| 2014 | 33,900 ha | 4,050 ha | 38,000 ha |
| 2015 | 35,300 ha | 5,810 ha | 41,100 ha |
| 2016 | 27,600 ha | 8,760 ha | 36,400 ha |
| 2017 | 22,500 ha | 3,000 ha | 25,500 ha |
| 2018 | 20,400 ha | 2,440 ha | 22,900 ha |
| 2019 | 25,500 ha | 7,560 ha | 33,000 ha |
| 2020 | 15,100 ha | 2,590 ha | 17,700 ha |
| 2021 | 9,650 ha | 1,630 ha | 11,300 ha |
| 2022 | 10,100 ha | 1,690 ha | 11,800 ha |
| 2023 | 27,300 ha | 2,920 ha | 30,200 ha |
| 2024 | 13,400 ha | 2,450 ha | 15,900 ha |
| 2025 | 18,700 ha | 3,710 ha | 22,500 ha |
Forest loss is slowing down: about 18,300 hectares a year in 2021–2025, down from 27,100 hectares a year in 2016–2020. The worst year was 2006, when about 43,000 hectares of forest were lost.
What is causing deforestation in Southeast Sulawesi?
- Farms, pasture and plantationscleared for good81% · 454,000 ha
- Shifting farmingcan grow back7.2% · 40,300 ha
- Mining and energycleared for good4.1% · 22,900 ha
Also: logging, wildfires, towns and roads, 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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