India · Madhya Pradesh · 33 cities
Air quality in Madhya Pradesh today The AQI right now, city by city
Right now, Mandsaur has the cleanest air of the 33 cities we track in Madhya Pradesh (AQI 77, Moderate), and Morena the worst (AQI 386, Hazardous). Jabalpur has the most tree cover, at 38.4% — #89 of 470 cities measured in India.
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.
AQI 172
Average right now
Unhealthy
- cities tracked
- 33
- average tree cover
- 21.8%
- India: 27.3%
- worst air now: Morena
- 386
- cleanest air now: Mandsaur
- 77
Lower is better on the US EPA index: 0–50 is Good, above 300 is Hazardous, and it reads differently from India's AQI (CPCB). Measured by Airleaf, refreshed hourly.
Madhya Pradesh · average AQI 172
Air quality today across Madhya Pradesh, city by city
| Indore | 146Unhealthy for sensitive groups | 19.5% | 48.7K | #308 of 470 |
|---|---|---|---|---|
| Bhopal | 259Very unhealthy | 25.0% | 51.3K | #219 of 470 |
| Jabalpur | 187Unhealthy | 38.4% | 5.0K | #89 of 470 |
| Gwalior | 278Very unhealthy | 26.0% | 59.7K | #196 of 470 |
| Ujjain | 174Unhealthy | 17.5% | 70.4K | #346 of 470 |
| Punāsa | 92Moderate | 9.4% | 64.2K | #447 of 470 |
| Dewas | 156Unhealthy | 24.5% | 48.3K | #228 of 470 |
| Satna | 93Moderate | 14.7% | 48.1K | #384 of 470 |
| Saugor | 165Unhealthy | 19.2% | 58.6K | #313 of 470 |
| Ratlām | 120Unhealthy for sensitive groups | 21.2% | 43.0K | #287 of 470 |
| Rewa | 162Unhealthy | 35.0% | 15.5K | #106 of 470 |
| Murwāra | 99Moderate | 30.4% | — | #137 of 470 |
| Singrauli | 187Unhealthy | 19.2% | 65.3K | #312 of 470 |
| Burhānpur | 169Unhealthy | 17.3% | 69.6K | #348 of 470 |
| Khandwa | 176Unhealthy | 23.5% | 51.8K | #246 of 470 |
| Morena | 386Hazardous | 8.5% | 115K | #458 of 470 |
| Bhind | 319Hazardous | 18.2% | 84.2K | #335 of 470 |
| Guna | 168Unhealthy | 22.0% | 56.5K | #279 of 470 |
| Shivpuri | 213Very unhealthy | 21.9% | 72.6K | #280 of 470 |
| Chhindwāra | 167Unhealthy | 22.5% | 55.0K | #262 of 470 |
| Vidisha | 165Unhealthy | 18.8% | 66.3K | #321 of 470 |
| Chhatarpur | 109Unhealthy for sensitive groups | 19.8% | 47.8K | #304 of 470 |
| Mandsaur | 77Moderate | 27.9% | 6.4K | #165 of 470 |
| Damoh | 96Moderate | 22.0% | 25.1K | #278 of 470 |
| Pithampur | 137Unhealthy for sensitive groups | 7.6% | 86.1K | #464 of 470 |
| Narmadapuram | 155Unhealthy | 34.2% | 16.2K | #109 of 470 |
| Khargone | 189Unhealthy | 15.4% | 77.1K | #371 of 470 |
| Sehore | 152Unhealthy | 18.2% | 68.5K | #333 of 470 |
| Nagda | 144Unhealthy for sensitive groups | 22.8% | 38.3K | #257 of 470 |
| Betūl | 204Very unhealthy | 25.7% | 60.6K | #199 of 470 |
| Seoni | 171Unhealthy | 13.5% | 82.0K | #403 of 470 |
| Itārsi | 117Unhealthy for sensitive groups | 25.4% | 30.2K | #205 of 470 |
| Datia | 240Very unhealthy | 32.7% | 37.6K | #120 of 470 |
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 India.
Is this the same as India's AQI (CPCB)?
No. Airleaf shows the US EPA Air Quality Index (AQI), the scale used by IQAir and most air-quality apps. India's Central Pollution Control Board (CPCB) publishes the National Air Quality Index on its own scale: 0–50 good, 51–100 satisfactory, 101–200 moderate, 201–300 poor, 301–400 very poor and 401–500 severe. The two scales don't line up. At moderate fine-particle levels the US scale reads higher: 55 µg/m³ of PM2.5 is 149 on the US AQI but about 92, "satisfactory", on India's. In heavy smog India's reads higher: 100 µg/m³ is 182 on the US AQI and about 232, "poor", on India's. CPCB also averages particles over 24 hours, so its figure moves more slowly than an hourly reading.
India's AQI (CPCB) and the AQI, explainedDeforestation · 2001–2025
How much forest has Madhya Pradesh lost?
Since 2001, Madhya Pradesh has lost about 9,610 hectares of forest (about 13,000 football pitches): under 1% of the forest it had in 2000. The biggest cause was logging (49%), after which forest can grow back. About 3,120 hectares (32%) was deforestation: forest cleared for good for farms, mines or towns.
- Forest lost since 2001
- 9,610 haabout 13,000 football pitches
- Share of its forest
- under 1%of what there was in 2000
- Cleared for good
- 3,120 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 | 237 ha | 398 ha | 635 ha |
| 2002 | 153 ha | 233 ha | 386 ha |
| 2003 | 155 ha | 189 ha | 344 ha |
| 2004 | 214 ha | 320 ha | 534 ha |
| 2005 | 306 ha | 391 ha | 697 ha |
| 2006 | 229 ha | 604 ha | 833 ha |
| 2007 | 154 ha | 377 ha | 531 ha |
| 2008 | 229 ha | 333 ha | 562 ha |
| 2009 | 227 ha | 282 ha | 509 ha |
| 2010 | 81 ha | 123 ha | 204 ha |
| 2011 | 226 ha | 581 ha | 807 ha |
| 2012 | 115 ha | 288 ha | 403 ha |
| 2013 | 72 ha | 306 ha | 378 ha |
| 2014 | 114 ha | 326 ha | 440 ha |
| 2015 | 40 ha | 235 ha | 275 ha |
| 2016 | 64 ha | 327 ha | 391 ha |
| 2017 | 59 ha | 221 ha | 280 ha |
| 2018 | 48 ha | 225 ha | 273 ha |
| 2019 | 16 ha | 74 ha | 90 ha |
| 2020 | 39 ha | 255 ha | 294 ha |
| 2021 | 16 ha | 10 ha | 27 ha |
| 2022 | 30 ha | 45 ha | 76 ha |
| 2023 | 100 ha | 114 ha | 214 ha |
| 2024 | 106 ha | 87 ha | 193 ha |
| 2025 | 89 ha | 150 ha | 239 ha |
Forest loss is slowing down: about 150 hectares a year in 2021–2025, down from 266 hectares a year in 2016–2020. The worst year was 2006, when about 833 hectares of forest were lost.
What is causing deforestation in Madhya Pradesh?
- Loggingcan grow back49% · 4,690 ha
- Farms, pasture and plantationscleared for good31% · 2,960 ha
- Shifting farmingcan grow back6.6% · 635 ha
Also: mining and energy, storms, floods and other natural causes, wildfires, 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
Other states in India
Clean-air buying guides
Cleaner air at home in Madhya Pradesh
Picked by tested clean-air delivery rate (CADR), noise and running cost, from independent test labels. No brand pays to be listed.
- The best air purifiers for wildfire smoke and smog
Air purifiers that keep up with wildfire smoke and winter smog, ranked by verified smoke CADR, with the room each one clears on a smoky day.
- The best air purifiers for bedrooms: quiet picks sized for your room
Quiet HEPA air purifiers for bedrooms, compared on what matters at night: noise on the lowest setting (from 20 dB), verified room size and filter cost.
- The best air purifiers under $200
Good HEPA air purifiers under $200 at the makers' own prices, compared on verified clean air, room size and what the filters cost each year.
Your own street