SmogRank / History / March 11, 2026
Most polluted cities on March 11, 2026
2,240 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Gurugram Haryana, India | 211.0 | |
| 2 | Faridabad Haryana, India | 176.0 | |
| 3 | Dādri Uttar Pradesh, India | 136.0 | |
| 4 | Bahawalpur low-cost sensors Punjab, Pakistan | 135.5 | |
| 5 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 133.0 | |
| 6 | Hāpur Uttar Pradesh, India | 131.0 | |
| 7 | Narela Delhi, India | 128.0 | |
| 8 | Faisalabad low-cost sensors Punjab, Pakistan | 124.0 | |
| 9 | Gujranwala low-cost sensors Punjab, Pakistan | 112.0 | |
| 9 | Kathmandu low-cost sensors Bagmati Province, Nepal | 112.0 | |
| 11 | Bahadurgarh Haryana, India | 109.0 | |
| 11 | Noida Uttar Pradesh, India | 109.0 | |
| 13 | Singrauli Madhya Pradesh, India | 108.0 | |
| 14 | Guwahati Assam, India | 107.8 | |
| 15 | Bhiwadi Rajasthan, India | 106.5 | |
| 16 | Surat Gujarat, India | 106.0 | |
| 17 | Yamuna Nagar Haryana, India | 105.0 | |
| 18 | Multan low-cost sensors Punjab, Pakistan | 104.0 | |
| 19 | Agra Uttar Pradesh, India | 103.0 | |
| 20 | Muzaffarnagar Uttar Pradesh, India | 102.0 | |
| 20 | Ghāziābād Uttar Pradesh, India | 102.0 | |
| 20 | Barbil Odisha, India | 102.0 | |
| 23 | Meerut Uttar Pradesh, India | 100.0 | |
| 24 | Hājīpur Bihar, India | 98.9 | |
| 25 | Agartala Tripura, India | 97.6 | |
| 26 | Delhi Delhi, India | 96.0 | |
| 27 | Naharlagun Arunachal Pradesh, India | 93.0 | |
| 28 | Chāpra Bihar, India | 92.8 | |
| 29 | Saharsa Bihar, India | 89.1 | |
| 30 | Lucknow Uttar Pradesh, India | 88.4 | |
| 31 | Jīnd Haryana, India | 88.0 | |
| 32 | Phuntsholing low-cost sensors Chukha, Bhutan | 87.4 | |
| 33 | Lahore low-cost sensors Punjab, Pakistan | 86.8 | |
| 34 | Jammu low-cost sensors Jammu and Kashmir, India | 85.8 | |
| 35 | Gwalior Madhya Pradesh, India | 83.8 | |
| 36 | Aya Nagar Delhi, India | 83.4 | |
| 37 | Bhelai Chhattisgarh, India | 83.1 | |
| 38 | Mahād Maharashtra, India | 83.0 | |
| 39 | Kharghar Maharashtra, India | 82.9 | |
| 40 | Sialkot low-cost sensors Punjab, Pakistan | 81.6 | |
| 41 | Bāghpat Uttar Pradesh, India | 80.9 | |
| 42 | Gummidipundi Tamil Nadu, India | 80.6 | |
| 43 | Keonjhargarh Odisha, India | 78.0 | |
| 44 | Arrah Bihar, India | 77.4 | |
| 45 | Dhāruhera Haryana, India | 75.8 | |
| 46 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 74.9 | |
| 47 | Bhiwāni Haryana, India | 74.6 | |
| 48 | Karnāl Haryana, India | 74.4 | |
| 49 | Nagaon Assam, India | 73.9 | |
| 50 | Sāngli Maharashtra, India | 73.8 | |
| 51 | Patna Bihar, India | 73.0 | |
| 52 | Najafgarh Delhi, India | 72.6 | |
| 53 | Kalyān Maharashtra, India | 71.2 | |
| 54 | Wadgaon Kolhati Maharashtra, India | 71.0 | |
| 55 | Buxar Bihar, India | 70.5 | |
| 56 | Kanpur Uttar Pradesh, India | 69.9 | |
| 57 | Ambāla Haryana, India | 69.6 | |
| 58 | Ankleshwar Gujarat, India | 68.4 | |
| 59 | Islamabad low-cost sensors Islamabad, Pakistan | 68.1 | |
| 60 | Gaya Bihar, India | 67.9 | |
| 60 | Baddi Himachal Pradesh, India | 67.9 | |
| 62 | Jaipur Rajasthan, India | 67.8 | |
| 63 | Nalbāri Assam, India | 67.7 | |
| 64 | Sonīpat Haryana, India | 66.8 | |
| 65 | Nagpur Maharashtra, India | 65.3 | |
| 66 | Begusarai Bihar, India | 64.8 | |
| 67 | Gorzów Wielkopolski Lubusz, Poland | 64.3 | |
| 68 | Bhiwandi Maharashtra, India | 62.7 | |
| 69 | Jhālāwār Rajasthan, India | 62.6 | |
| 70 | Kota Rajasthan, India | 62.5 | |
| 71 | Kampala low-cost sensors Central Region, Uganda | 61.6 | |
| 72 | Undera Gujarat, India | 61.0 | |
| 73 | Aurangabad Maharashtra, India | 59.9 | |
| 74 | Badlapur Maharashtra, India | 59.6 | |
| 75 | Arāria Bihar, India | 58.8 | |
| 76 | Changchun low-cost sensors Jilin, China | 58.5 | |
| 77 | Angul Odisha, India | 58.3 | |
| 78 | Ropar Punjab, India | 58.2 | |
| 79 | Akola Maharashtra, India | 57.2 | |
| 80 | Thāne Maharashtra, India | 55.8 | |
| 81 | Sholapur Maharashtra, India | 55.6 | |
| 82 | Jalgaon Maharashtra, India | 54.6 | |
| 83 | Rasapūdipalem Andhra Pradesh, India | 54.3 | |
| 84 | Vijayawada Andhra Pradesh, India | 54.2 | |
| 84 | Morādābād Uttar Pradesh, India | 54.2 | |
| 84 | Amravati Maharashtra, India | 54.2 | |
| 87 | Pune Maharashtra, India | 53.7 | |
| 88 | Chānda Maharashtra, India | 53.1 | |
| 88 | Chandigarh Chandigarh, India | 53.1 | |
| 90 | Joda Odisha, India | 52.5 | |
| 91 | Bhayandar Maharashtra, India | 52.2 | |
| 92 | Boisar Maharashtra, India | 52.0 | |
| 92 | Ahmedabad Gujarat, India | 52.0 | |
| 94 | Cuttack Odisha, India | 51.6 | |
| 94 | Włocławek Kujawsko-Pomorskie, Poland | 51.6 | |
| 96 | Virār Maharashtra, India | 51.2 | |
| 97 | Kalmar Kalmar, Sweden | 51.1 | |
| 98 | Rourkela Odisha, India | 50.9 | |
| 98 | Kolhāpur Maharashtra, India | 50.9 | |
| 100 | Otwock Mazovia, Poland | 50.7 | |
| 101 | Toruń Kujawsko-Pomorskie, Poland | 50.6 | |
| 102 | Prayagraj Uttar Pradesh, India | 50.5 | |
| 102 | San Salvador Tizatlalli México, Mexico | 50.5 | |
| 104 | Shillong Meghalaya, India | 50.4 | |
| 105 | Rawalpindi low-cost sensors Punjab, Pakistan | 50.1 | |
| 106 | Nanded Maharashtra, India | 49.7 | |
| 106 | Żywiec Silesia, Poland | 49.7 | |
| 108 | Bydgoszcz Kujawsko-Pomorskie, Poland | 49.6 | |
| 109 | Tonk Rajasthan, India | 49.0 | |
| 109 | Pimpri-Chinchwad Maharashtra, India | 49.0 | |
| 111 | Poznań Greater Poland, Poland | 48.6 | |
| 112 | Dushanbe Dushanbe, Tajikistan | 48.5 | |
| 113 | Suwałki Podlasie, Poland | 48.4 | |
| 113 | Bhubaneswar Odisha, India | 48.4 | |
| 115 | Chittorgarh Rajasthan, India | 48.0 | |
| 116 | Durgapur West Bengal, India | 47.5 | |
| 117 | Baripāda Odisha, India | 47.4 | |
| 118 | Sīkar Rajasthan, India | 46.8 | |
| 118 | Dausa Rajasthan, India | 46.8 | |
| 120 | Ventspils Ventspils, Latvia | 46.7 | |
| 120 | Liepāja Liepaja, Latvia | 46.7 | |
| 122 | Panvel Maharashtra, India | 46.6 | |
| 123 | Kalisz Greater Poland, Poland | 46.0 | |
| 124 | Chennai Tamil Nadu, India | 45.6 | |
| 125 | Āsansol West Bengal, India | 45.5 | |
| 126 | Sawai Madhopur Rajasthan, India | 45.4 | |
| 126 | Indore Madhya Pradesh, India | 45.4 | |
| 128 | Mumbai Maharashtra, India | 45.1 | |
| 128 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 45.1 | |
| 130 | South Lake Tahoe California, United States | 45.0 | |
| 131 | Parbhani Maharashtra, India | 44.7 | |
| 132 | Latur Maharashtra, India | 44.6 | |
| 133 | Uttaradit low-cost sensors Uttaradit, Thailand | 44.5 | |
| 134 | Sasarām Bihar, India | 44.1 | |
| 135 | Nāgaur Rajasthan, India | 44.0 | |
| 135 | Łask Łódź Voivodeship, Poland | 44.0 | |
| 137 | Patiāla Punjab, India | 43.5 | |
| 138 | Gdańsk Pomerania, Poland | 43.4 | |
| 139 | Ajmer Rajasthan, India | 43.1 | |
| 139 | Elbląg Warmia-Masuria, Poland | 43.1 | |
| 141 | Bhilwara Rajasthan, India | 43.0 | |
| 142 | Jodhpur Rajasthan, India | 42.6 | |
| 143 | Gangtok Sikkim, India | 42.2 | |
| 144 | Gandhinagar Gujarat, India | 42.0 | |
| 144 | Bettiah Bihar, India | 42.0 | |
| 146 | Byasanagar Odisha, India | 41.6 | |
| 147 | Kościerzyna Pomerania, Poland | 41.3 | |
| 148 | Bikaner Rajasthan, India | 40.7 | |
| 148 | Gdynia Pomerania, Poland | 40.7 | |
| 150 | Bijelo Polje Bijelo Polje, Montenegro | 40.6 | |
| 151 | Kolkata West Bengal, India | 40.3 | |
| 152 | Thānesar Haryana, India | 39.9 | |
| 153 | Visby Gotland, Sweden | 39.8 | |
| 154 | Tirupati Andhra Pradesh, India | 39.7 | |
| 155 | Dhule Maharashtra, India | 39.6 | |
| 155 | Nandri Rajasthan, India | 39.6 | |
| 157 | Kadapa Andhra Pradesh, India | 39.4 | |
| 158 | Murree low-cost sensors Punjab, Pakistan | 39.3 | |
| 159 | Jalandhar Punjab, India | 39.2 | |
| 160 | Białystok Podlasie, Poland | 38.5 | |
| 161 | Zgierz Łódź Voivodeship, Poland | 38.3 | |
| 162 | Lohja Uusimaa, Finland | 37.8 | |
| 162 | Pljevlja Pljevlja, Montenegro | 37.8 | |
| 164 | Târgu Mureş low-cost sensors Mureș County, Romania | 37.7 | |
| 165 | Bharatpur Rajasthan, India | 37.6 | |
| 166 | Karauli Rajasthan, India | 37.5 | |
| 167 | Ełk Warmia-Masuria, Poland | 37.4 | |
| 167 | Sopot Pomerania, Poland | 37.4 | |
| 169 | Augustów Podlasie, Poland | 36.6 | |
| 170 | Būndi Rajasthan, India | 36.4 | |
| 170 | Anantapur Andhra Pradesh, India | 36.4 | |
| 172 | Dhaulpur Rajasthan, India | 36.1 | |
| 173 | Rānīganj West Bengal, India | 35.9 | |
| 174 | San Francisco Tlalcilalcalpan México, Mexico | 35.7 | |
| 175 | Sukuta low-cost sensors Western, Gambia | 35.5 | |
| 176 | Hradec Králové Hradec Králové Region, Czechia | 35.1 | |
| 177 | Sri Ganganagar Rajasthan, India | 35.0 | |
| 177 | Lugano Ticino, Switzerland | 35.0 | |
| 177 | Neelankarai Tamil Nadu, India | 35.0 | |
| 180 | Nashik Maharashtra, India | 34.8 | |
| 180 | Jelenia Góra Lower Silesia, Poland | 34.8 | |
| 182 | Puebla Puebla, Mexico | 34.7 | |
| 183 | Jhunjhunūn Rajasthan, India | 34.6 | |
| 184 | Myyrmäki Uusimaa, Finland | 34.3 | |
| 185 | Legionowo Mazovia, Poland | 34.1 | |
| 186 | Panchkula Haryana, India | 34.0 | |
| 187 | Kumanovo Kumanovo, North Macedonia | 33.8 | |
| 187 | Karachi low-cost sensors Sindh, Pakistan | 33.8 | |
| 187 | Raipur Chhattisgarh, India | 33.8 | |
| 187 | Hyderabad Telangana, India | 33.8 | |
| 191 | Helsinki Uusimaa, Finland | 33.4 | |
| 192 | Haldia West Bengal, India | 33.2 | |
| 192 | Södertälje Stockholm, Sweden | 33.2 | |
| 194 | Vantaa Uusimaa, Finland | 33.1 | |
| 194 | Dej Cluj County, Romania | 33.1 | |
| 194 | Bārān Rajasthan, India | 33.1 | |
| 197 | Klaukkala Uusimaa, Finland | 32.9 | |
| 198 | Jabalpur Madhya Pradesh, India | 32.6 | |
| 198 | Płock Mazovia, Poland | 32.6 | |
| 200 | Zacatepec de Hidalgo Morelos, Mexico | 32.5 |
Top 200 of 2,240 shown.
Good 0–9.0Moderate 9.1+Unhealthy for sensitive groups 35.5+Unhealthy 55.5+Very unhealthy 125.5+Hazardous 225.5+No data