India · Uttar Pradesh · 57 cities
Air quality in Uttar Pradesh today The AQI right now, city by city
Right now, Shāhjānpur has the cleanest air of the 57 cities we track in Uttar Pradesh (AQI 87, Moderate), and Fatehpur the worst (AQI 498, Hazardous). Kushinagar has the most tree cover, at 44.8% — #54 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 198
Average right now
Unhealthy
- cities tracked
- 57
- average tree cover
- 21.3%
- India: 27.3%
- worst air now: Fatehpur
- 498
- cleanest air now: Shāhjānpur
- 87
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.
Uttar Pradesh · average AQI 198
Air quality today across Uttar Pradesh, city by city
| Kanpur | 270Very unhealthy | 28.7% | 50.2K | #155 of 470 |
|---|---|---|---|---|
| Lucknow | 207Very unhealthy | 27.8% | 54.0K | #170 of 470 |
| Agra | 129Unhealthy for sensitive groups | 24.1% | 33.2K | #236 of 470 |
| Meerut | 235Very unhealthy | 16.8% | 88.5K | #354 of 470 |
| Ghāziābād | 282Very unhealthy | 17.5% | 86.4K | #347 of 470 |
| Varanasi | 197Unhealthy | 10.3% | 79.0K | #440 of 470 |
| Prayagraj | 157Unhealthy | 25.7% | 44.9K | #201 of 470 |
| Alīgarh | 192Unhealthy | 11.9% | 87.7K | #425 of 470 |
| Bareilly | 156Unhealthy | 12.5% | 86.0K | #414 of 470 |
| Morādābād | 221Very unhealthy | 22.4% | 70.3K | #266 of 470 |
| Gorakhpur | 169Unhealthy | 18.6% | 67.2K | #324 of 470 |
| Loni | 298Very unhealthy | 7.4% | 118K | #465 of 470 |
| Sahāranpur | 172Unhealthy | 18.6% | 67.2K | #323 of 470 |
| Modīnagar | 473Hazardous | 19.1% | 81.4K | #317 of 470 |
| Jhānsi | 207Very unhealthy | 26.7% | 57.3K | #190 of 470 |
| Muzaffarnagar | 185Unhealthy | 11.6% | 89.2K | #431 of 470 |
| Mathura | 154Unhealthy | 12.6% | 81.3K | #413 of 470 |
| Shāhjānpur | 87Moderate | 15.0% | 47.0K | #377 of 470 |
| Fīrozābād | 174Unhealthy | 8.8% | 98.0K | #456 of 470 |
| Rāmpur | 118Unhealthy for sensitive groups | 24.2% | 33.8K | #233 of 470 |
| Greater Noida | 191Unhealthy | 18.3% | 68.2K | #332 of 470 |
| Noida | 234Very unhealthy | 23.6% | 67.2K | #243 of 470 |
| Kushinagar | 169Unhealthy | 44.8% | — | #54 of 470 |
| Etāwah | 175Unhealthy | 27.2% | 40.2K | #182 of 470 |
| Mau | 160Unhealthy | 24.4% | 48.9K | #229 of 470 |
| Hāpur | 218Very unhealthy | 9.1% | 113K | #452 of 470 |
| Farrukhābād | 124Unhealthy for sensitive groups | 23.0% | 37.7K | #255 of 470 |
| Mirzāpur | 198Unhealthy | 18.2% | 56.4K | #336 of 470 |
| Gyānpur | 192Unhealthy | 32.6% | 23.2K | #121 of 470 |
| Bulandshahr | 183Unhealthy | 15.7% | 76.3K | #367 of 470 |
| Sambhal | 157Unhealthy | 14.9% | 78.5K | #380 of 470 |
| Raebareli | 161Unhealthy | 23.2% | 52.8K | #251 of 470 |
| Bahraigh | 163Unhealthy | 30.0% | 31.4K | #141 of 470 |
| Amroha | 174Unhealthy | 25.2% | 46.4K | #212 of 470 |
| Jaunpur | 237Very unhealthy | 28.8% | 49.5K | #153 of 470 |
| Fatehpur | 498Hazardous | 21.8% | 72.4K | #281 of 470 |
| Sītāpur | 176Unhealthy | 41.1% | — | #66 of 470 |
| Unnāo | 270Very unhealthy | 18.3% | 83.8K | #331 of 470 |
| Budaun | 159Unhealthy | 12.2% | 86.8K | #421 of 470 |
| Orai | 447Hazardous | 15.6% | 92.4K | #368 of 470 |
| Fyzābād | 162Unhealthy | 27.6% | 39.0K | #173 of 470 |
| Bānda | 245Very unhealthy | 28.3% | 52.5K | #161 of 470 |
| Lakhīmpur | 168Unhealthy | 23.5% | 51.8K | #245 of 470 |
| Gondā City | 149Unhealthy for sensitive groups | 30.1% | 15.3K | #140 of 470 |
| Etah | 178Unhealthy | 14.2% | 81.1K | #390 of 470 |
| Pīlibhīt | 98Moderate | 27.6% | 7.4K | #172 of 470 |
| Deoria | 180Unhealthy | 23.8% | 50.9K | #238 of 470 |
| Hāthras | 190Unhealthy | 6.8% | 104K | #468 of 470 |
| Lalitpur | 179Unhealthy | 29.7% | 30.9K | #143 of 470 |
| Hardoī | 179Unhealthy | 16.0% | 75.4K | #362 of 470 |
| Azamgarh | 170Unhealthy | 26.1% | 43.7K | #195 of 470 |
| Bastī | 130Unhealthy for sensitive groups | 27.8% | 22.3K | #166 of 470 |
| Chanduasi | 165Unhealthy | 15.4% | 77.1K | #370 of 470 |
| Sultānpur | 122Unhealthy for sensitive groups | 28.8% | 19.0K | #152 of 470 |
| Pandit Deen Dayal Upadhyaya Nagar | 185Unhealthy | 23.1% | 52.8K | #252 of 470 |
| Khurja | 227Very unhealthy | 11.3% | 105K | #433 of 470 |
| Ghazīpur | 162Unhealthy | 24.5% | 37.3K | #225 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 Uttar Pradesh lost?
Since 2001, Uttar Pradesh has lost about 4,510 hectares of forest (about 6,300 football pitches): 1.3% of the forest it had in 2000. The biggest cause was farms, pasture and plantations (42%). About 2,060 hectares (46%) was deforestation: forest cleared for good for farms, mines or towns.
- Forest lost since 2001
- 4,510 haabout 6,300 football pitches
- Share of its forest
- 1.3%of what there was in 2000
- Cleared for good
- 2,060 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 | 284 ha | 238 ha | 522 ha |
| 2002 | 59 ha | 91 ha | 150 ha |
| 2003 | 39 ha | 64 ha | 103 ha |
| 2004 | 125 ha | 133 ha | 258 ha |
| 2005 | 115 ha | 156 ha | 271 ha |
| 2006 | 225 ha | 167 ha | 392 ha |
| 2007 | 183 ha | 173 ha | 356 ha |
| 2008 | 112 ha | 128 ha | 240 ha |
| 2009 | 186 ha | 160 ha | 346 ha |
| 2010 | 117 ha | 127 ha | 244 ha |
| 2011 | 209 ha | 249 ha | 458 ha |
| 2012 | 199 ha | 244 ha | 443 ha |
| 2013 | 16 ha | 56 ha | 72 ha |
| 2014 | 18 ha | 92 ha | 110 ha |
| 2015 | 37 ha | 38 ha | 75 ha |
| 2016 | 7 ha | 105 ha | 112 ha |
| 2017 | 7 ha | 8 ha | 14 ha |
| 2018 | 5 ha | 50 ha | 55 ha |
| 2019 | 4 ha | 22 ha | 26 ha |
| 2020 | 4 ha | 2 ha | 6 ha |
| 2021 | 2 ha | 2 ha | 3 ha |
| 2022 | 5 ha | 7 ha | 11 ha |
| 2023 | 27 ha | 48 ha | 75 ha |
| 2024 | 48 ha | 56 ha | 103 ha |
| 2025 | 24 ha | 38 ha | 62 ha |
Forest loss has stayed about the same: about 51 hectares a year in 2021–2025, against 43 hectares a year in 2016–2020. The worst year was 2001, when about 522 hectares of forest were lost.
What is causing deforestation in Uttar Pradesh?
- Farms, pasture and plantationscleared for good42% · 1,910 ha
- Loggingcan grow back12% · 533 ha
- Storms, floods and other natural causescan grow back9.6% · 433 ha
Also: towns and roads, wildfires, shifting farming, mining and energy, 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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