Indonesia · South Kalimantan · 2 cities
Air quality in South Kalimantan today The AQI right now, city by city
Right now, Banjarmasin has the cleanest air of the 2 cities we track in South Kalimantan (AQI 80, Moderate), and Banjarbaru the worst (AQI 114, Unhealthy for sensitive groups). Banjarbaru has the most tree cover, at 27.9% — #60 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
- 21.6%
- Indonesia: 28.0%
- worst air now: Banjarbaru
- 114
- cleanest air now: Banjarmasin
- 80
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.
South Kalimantan
Air quality today across South Kalimantan, city by city
| Banjarmasin | 80Moderate | 15.2% | 46.4K | #126 of 155 |
|---|---|---|---|---|
| Banjarbaru | 114Unhealthy for sensitive groups | 27.9% | 22.3K | #60 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 South Kalimantan lost?
Since 2001, South Kalimantan has lost about 1,000,000 hectares of forest (about 10,000 km²): 34% 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
- 1,000,000 haabout 10,000 km²
- Share of its forest
- 34%of what there was in 2000
- Cleared for good
- 855,000 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 | 17,400 ha | 1,980 ha | 19,400 ha |
| 2002 | 22,200 ha | 2,980 ha | 25,200 ha |
| 2003 | 15,700 ha | 3,170 ha | 18,900 ha |
| 2004 | 38,100 ha | 4,910 ha | 43,000 ha |
| 2005 | 23,100 ha | 2,880 ha | 25,900 ha |
| 2006 | 49,900 ha | 5,430 ha | 55,300 ha |
| 2007 | 26,900 ha | 5,690 ha | 32,600 ha |
| 2008 | 17,400 ha | 2,050 ha | 19,500 ha |
| 2009 | 56,400 ha | 6,920 ha | 63,300 ha |
| 2010 | 25,100 ha | 1,760 ha | 26,900 ha |
| 2011 | 46,000 ha | 3,880 ha | 49,900 ha |
| 2012 | 64,600 ha | 6,040 ha | 70,700 ha |
| 2013 | 33,500 ha | 3,800 ha | 37,300 ha |
| 2014 | 61,200 ha | 7,480 ha | 68,700 ha |
| 2015 | 62,000 ha | 14,700 ha | 76,700 ha |
| 2016 | 41,800 ha | 29,000 ha | 70,900 ha |
| 2017 | 33,100 ha | 6,240 ha | 39,400 ha |
| 2018 | 34,300 ha | 4,180 ha | 38,500 ha |
| 2019 | 39,000 ha | 7,340 ha | 46,300 ha |
| 2020 | 18,400 ha | 3,210 ha | 21,600 ha |
| 2021 | 19,000 ha | 3,300 ha | 22,300 ha |
| 2022 | 16,100 ha | 2,170 ha | 18,200 ha |
| 2023 | 47,300 ha | 5,680 ha | 53,000 ha |
| 2024 | 24,200 ha | 4,620 ha | 28,800 ha |
| 2025 | 22,500 ha | 5,110 ha | 27,600 ha |
Forest loss is slowing down: about 30,000 hectares a year in 2021–2025, down from 43,300 hectares a year in 2016–2020. The worst year was 2015, when about 76,700 hectares of forest were lost.
What is causing deforestation in South Kalimantan?
- Farms, pasture and plantationscleared for good77% · 766,000 ha
- Mining and energycleared for good8.3% · 83,100 ha
- Wildfirescan grow back5.5% · 55,100 ha
Also: shifting farming, logging, 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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