Bangladesh · Dhaka Division · 13 cities
Air quality in Dhaka Division today The AQI right now, city by city
Right now, Tungipara has the cleanest air of the 13 cities we track in Dhaka Division (AQI 53, Moderate), and Sonārgaon the worst (AQI 156, Unhealthy). Tangail has the most tree cover, at 70.7% — #4 of 39 cities measured in Bangladesh.
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 124
Unhealthy for sensitive groups
- cities tracked
- 13
- average tree cover
- 50.8%
- Bangladesh: 52.9%
- worst air now: Sonārgaon
- 156
- cleanest air now: Tungipara
- 53
Lower is better on the US EPA index: 0–50 is Good, above 300 is Hazardous. Measured by Airleaf, refreshed hourly.
Dhaka Division · average AQI 124
Air quality today across Dhaka Division, city by city
| Dhaka | 135Unhealthy for sensitive groups | 12.8% | 64.8K | #39 of 39 |
|---|---|---|---|---|
| Gazipur | 142Unhealthy for sensitive groups | 61.7% | — | #9 of 39 |
| Kafrul | 134Unhealthy for sensitive groups | 19.6% | 48.0K | #38 of 39 |
| Tungi | 149Unhealthy for sensitive groups | 19.9% | 45.4K | #37 of 39 |
| Savar | 143Unhealthy for sensitive groups | 45.0% | — | #28 of 39 |
| Narsingdi | 150Unhealthy for sensitive groups | 53.8% | — | #18 of 39 |
| Nagar Naluākot | 54Moderate | 89.9% | — | — |
| Nāgarpur | 74Moderate | 55.6% | — | — |
| Narayanganj | 132Unhealthy for sensitive groups | 26.3% | 25.3K | #36 of 39 |
| Tangail | 135Unhealthy for sensitive groups | 70.7% | — | #4 of 39 |
| Sonārgaon | 156Unhealthy | 65.5% | — | #6 of 39 |
| Tungipara | 53Moderate | 72.3% | — | — |
| Farīdpur | 152Unhealthy | 66.8% | — | #5 of 39 |
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 Bangladesh.
Deforestation · 2001–2025
How much forest has Dhaka Division lost?
Since 2001, Dhaka Division has lost about 4,530 hectares of forest (about 6,300 football pitches): 5.1% of the forest it had in 2000. The biggest cause was logging (49%), after which forest can grow back. About 1,750 hectares (39%) was deforestation: forest cleared for good for farms, mines or towns.
- Forest lost since 2001
- 4,530 haabout 6,300 football pitches
- Share of its forest
- 5.1%of what there was in 2000
- Cleared for good
- 1,750 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 | 55 ha | 97 ha | 152 ha |
| 2002 | 101 ha | 227 ha | 328 ha |
| 2003 | 12 ha | 39 ha | 51 ha |
| 2004 | 61 ha | 118 ha | 178 ha |
| 2005 | 52 ha | 123 ha | 175 ha |
| 2006 | 87 ha | 137 ha | 224 ha |
| 2007 | 83 ha | 128 ha | 210 ha |
| 2008 | 101 ha | 124 ha | 225 ha |
| 2009 | 94 ha | 66 ha | 160 ha |
| 2010 | 142 ha | 206 ha | 348 ha |
| 2011 | 79 ha | 158 ha | 237 ha |
| 2012 | 55 ha | 104 ha | 158 ha |
| 2013 | 22 ha | 24 ha | 46 ha |
| 2014 | 39 ha | 97 ha | 136 ha |
| 2015 | 4 ha | 46 ha | 50 ha |
| 2016 | 39 ha | 207 ha | 246 ha |
| 2017 | 74 ha | 222 ha | 296 ha |
| 2018 | 43 ha | 140 ha | 183 ha |
| 2019 | 18 ha | 42 ha | 61 ha |
| 2020 | 28 ha | 61 ha | 89 ha |
| 2021 | 33 ha | 50 ha | 83 ha |
| 2022 | 50 ha | 70 ha | 120 ha |
| 2023 | 111 ha | 89 ha | 200 ha |
| 2024 | 189 ha | 79 ha | 268 ha |
| 2025 | 179 ha | 127 ha | 306 ha |
Forest loss has stayed about the same: about 195 hectares a year in 2021–2025, against 175 hectares a year in 2016–2020. The worst year was 2010, when about 348 hectares of forest were lost.
What is causing deforestation in Dhaka Division?
- Loggingcan grow back49% · 2,230 ha
- Farms, pasture and plantationscleared for good35% · 1,570 ha
- Towns and roadscleared for good3.9% · 176 ha
Also: shifting farming, 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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