SmogRank / History / March 2025
Most polluted cities, March 2025
2,100 cities ranked by their average PM2.5 over the 31 days. A city needs measurements on 70% of the days to be ranked.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Dera Māndi Delhi, India | 115.4 | |
| 2 | Hājīpur Bihar, India | 105.2 | |
| 3 | Cuddalore Tamil Nadu, India | 99.7 | |
| 4 | Angul Odisha, India | 90.9 | |
| 5 | Narela Delhi, India | 87.2 | |
| 6 | Guwahati Assam, India | 85.6 | |
| 7 | Ghāziābād Uttar Pradesh, India | 84.2 | |
| 8 | Rourkela Odisha, India | 79.1 | |
| 9 | Sasarām Bihar, India | 76.2 | |
| 10 | Gurugram Haryana, India | 69.0 | |
| 11 | Durgapur West Bengal, India | 68.3 | |
| 12 | Delhi Delhi, India | 66.9 | |
| 13 | Singrauli Madhya Pradesh, India | 66.3 | |
| 14 | Lucknow Uttar Pradesh, India | 65.7 | |
| 15 | Barbil Odisha, India | 65.6 | |
| 15 | Bhiwadi Rajasthan, India | 65.6 | |
| 17 | Rānīganj West Bengal, India | 64.9 | |
| 18 | Jalgaon Maharashtra, India | 64.6 | |
| 19 | Sri Ganganagar Rajasthan, India | 64.2 | |
| 20 | Najafgarh Delhi, India | 63.9 | |
| 21 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 62.0 | |
| 21 | Tumkūr Karnataka, India | 62.0 | |
| 23 | Ahmedabad Gujarat, India | 61.3 | |
| 24 | Patna Bihar, India | 59.8 | |
| 24 | Nagpur Maharashtra, India | 59.8 | |
| 26 | Āsansol West Bengal, India | 59.5 | |
| 27 | Begusarai Bihar, India | 59.1 | |
| 28 | Gwalior Madhya Pradesh, India | 58.4 | |
| 29 | Rairangpur Odisha, India | 58.2 | |
| 30 | Gandhinagar Gujarat, India | 57.7 | |
| 31 | Muzaffarnagar Uttar Pradesh, India | 57.4 | |
| 32 | Hanumāngarh Rajasthan, India | 56.6 | |
| 33 | Bhelai Chhattisgarh, India | 56.3 | |
| 34 | Joda Odisha, India | 56.1 | |
| 35 | Sholapur Maharashtra, India | 55.9 | |
| 35 | Ankleshwar Gujarat, India | 55.9 | |
| 37 | Dādri Uttar Pradesh, India | 55.8 | |
| 38 | Kharghar Maharashtra, India | 55.2 | |
| 39 | Hāpur Uttar Pradesh, India | 54.6 | |
| 40 | Mahād Maharashtra, India | 53.8 | |
| 40 | Latur Maharashtra, India | 53.8 | |
| 40 | Badlapur Maharashtra, India | 53.8 | |
| 43 | Chānda Maharashtra, India | 53.5 | |
| 43 | Kolkata West Bengal, India | 53.5 | |
| 45 | Nanded Maharashtra, India | 53.3 | |
| 46 | Nashik Maharashtra, India | 52.3 | |
| 46 | Baripāda Odisha, India | 52.3 | |
| 48 | Kalyān Maharashtra, India | 51.9 | |
| 49 | Shrīrāmpur West Bengal, India | 50.5 | |
| 49 | Parbhani Maharashtra, India | 50.5 | |
| 51 | Byasanagar Odisha, India | 50.4 | |
| 52 | Serilingampalle Telangana, India | 50.1 | |
| 53 | Thāne Maharashtra, India | 49.7 | |
| 54 | Jalandhar Punjab, India | 49.5 | |
| 55 | Pimpri-Chinchwad Maharashtra, India | 49.1 | |
| 56 | Nagaon Assam, India | 48.7 | |
| 56 | Bhiwandi Maharashtra, India | 48.7 | |
| 58 | Akola Maharashtra, India | 48.6 | |
| 59 | Aurangabad Maharashtra, India | 47.1 | |
| 60 | Shillong Meghalaya, India | 46.7 | |
| 60 | Bhāgalpur Bihar, India | 46.7 | |
| 60 | Bettiah Bihar, India | 46.7 | |
| 63 | Gummidipundi Tamil Nadu, India | 46.3 | |
| 64 | Saharsa Bihar, India | 46.1 | |
| 65 | Bhilai Chhattisgarh, India | 46.0 | |
| 65 | Ajmer Rajasthan, India | 46.0 | |
| 67 | Kanpur Uttar Pradesh, India | 45.9 | |
| 68 | Baddi Himachal Pradesh, India | 45.8 | |
| 69 | Boisar Maharashtra, India | 45.5 | |
| 70 | Sāngli Maharashtra, India | 45.4 | |
| 71 | Pune Maharashtra, India | 44.1 | |
| 71 | Chandigarh Chandigarh, India | 44.1 | |
| 73 | Buxar Bihar, India | 43.9 | |
| 74 | Novi Pazar Central Serbia, Serbia | 43.6 | |
| 75 | Noida Uttar Pradesh, India | 43.4 | |
| 76 | Sai Mai low-cost sensors Bangkok, Thailand | 41.9 | |
| 77 | Chittorgarh Rajasthan, India | 41.4 | |
| 78 | Amravati Maharashtra, India | 41.3 | |
| 79 | Patiāla Punjab, India | 41.1 | |
| 80 | Dushanbe Dushanbe, Tajikistan | 40.8 | |
| 80 | Cuttack Odisha, India | 40.8 | |
| 82 | Kota Rajasthan, India | 40.7 | |
| 82 | Gaya Bihar, India | 40.7 | |
| 84 | Dhaulpur Rajasthan, India | 40.6 | |
| 85 | Mumbai Maharashtra, India | 40.5 | |
| 86 | Keonjhargarh Odisha, India | 40.4 | |
| 86 | Bharatpur Rajasthan, India | 40.4 | |
| 86 | Arāria Bihar, India | 40.4 | |
| 89 | Stodůlky low-cost sensors Prague, Czechia | 40.3 | |
| 90 | Closepet Karnataka, India | 40.0 | |
| 91 | Dhule Maharashtra, India | 39.8 | |
| 91 | Kłodzko Lower Silesia, Poland | 39.8 | |
| 93 | Bhubaneswar Odisha, India | 39.5 | |
| 94 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 39.3 | |
| 95 | Bhilwara Rajasthan, India | 39.2 | |
| 96 | Mangaluru Karnataka, India | 38.9 | |
| 97 | Coimbatore Tamil Nadu, India | 38.7 | |
| 98 | Valjevo Central Serbia, Serbia | 38.5 | |
| 99 | Otwock Mazovia, Poland | 38.0 | |
| 100 | Virār Maharashtra, India | 37.8 | |
| 101 | Wadgaon Kolhati Maharashtra, India | 37.7 | |
| 102 | Kikinda Vojvodina, Serbia | 37.6 | |
| 103 | Jaipur Rajasthan, India | 37.5 | |
| 103 | Faridabad Haryana, India | 37.5 | |
| 105 | Vijayawada Andhra Pradesh, India | 37.3 | |
| 105 | Dūngarpur Rajasthan, India | 37.3 | |
| 107 | Jodhpur Rajasthan, India | 37.2 | |
| 108 | Ropar Punjab, India | 37.1 | |
| 108 | Mohali Punjab, India | 37.1 | |
| 110 | Jhālāwār Rajasthan, India | 37.0 | |
| 111 | Dubai low-cost sensors Dubai, United Arab Emirates | 36.9 | |
| 112 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 36.6 | |
| 112 | Jhunjhunūn Rajasthan, India | 36.6 | |
| 112 | Bangkok low-cost sensors Bangkok, Thailand | 36.6 | |
| 115 | Yadgir Karnataka, India | 35.8 | |
| 115 | Tirumala Andhra Pradesh, India | 35.8 | |
| 117 | Łask Łódź Voivodeship, Poland | 35.7 | |
| 117 | Kalisz Greater Poland, Poland | 35.7 | |
| 119 | San Salvador Tizatlalli México, Mexico | 35.6 | |
| 120 | Poznań Greater Poland, Poland | 35.5 | |
| 121 | Kadapa Andhra Pradesh, India | 35.4 | |
| 122 | Obrenovac Central Serbia, Serbia | 35.2 | |
| 123 | Sawai Madhopur Rajasthan, India | 35.1 | |
| 124 | Włocławek Kujawsko-Pomorskie, Poland | 35.0 | |
| 125 | Bānswāra Rajasthan, India | 34.9 | |
| 126 | Bengaluru Karnataka, India | 34.8 | |
| 126 | Užice Central Serbia, Serbia | 34.8 | |
| 128 | Hyderabad Telangana, India | 34.6 | |
| 129 | Agra Uttar Pradesh, India | 34.5 | |
| 130 | Kolhāpur Maharashtra, India | 34.2 | |
| 131 | Dausa Rajasthan, India | 34.1 | |
| 131 | Anantapur Andhra Pradesh, India | 34.1 | |
| 133 | Sunland Park New Mexico, United States | 33.6 | |
| 134 | Durg Chhattisgarh, India | 33.5 | |
| 135 | Gangtok Sikkim, India | 33.4 | |
| 136 | Dej Cluj County, Romania | 33.1 | |
| 137 | Augustów Podlasie, Poland | 32.6 | |
| 138 | Niš Central Serbia, Serbia | 32.2 | |
| 139 | Indore Madhya Pradesh, India | 32.1 | |
| 139 | El Paso Texas, United States | 32.1 | |
| 141 | Tirupparangunram Tamil Nadu, India | 32.0 | |
| 142 | Prayagraj Uttar Pradesh, India | 31.9 | |
| 143 | Būndi Rajasthan, India | 31.7 | |
| 143 | Żywiec Silesia, Poland | 31.7 | |
| 145 | Sīkar Rajasthan, India | 31.6 | |
| 145 | Quthbullapur Telangana, India | 31.6 | |
| 147 | Istanbul low-cost sensors Istanbul, Turkey | 31.4 | |
| 148 | Chūru Rajasthan, India | 31.1 | |
| 149 | Tonk Rajasthan, India | 31.0 | |
| 150 | Pratāpgarh Rajasthan, India | 30.6 | |
| 150 | Ciudad Juárez Chihuahua, Mexico | 30.6 | |
| 152 | Nāgaur Rajasthan, India | 30.5 | |
| 153 | Czechowice-Dziedzice Silesia, Poland | 30.1 | |
| 153 | Greater Noida Uttar Pradesh, India | 30.1 | |
| 155 | Rasapūdipalem Andhra Pradesh, India | 29.9 | |
| 155 | Morādābād Uttar Pradesh, India | 29.9 | |
| 157 | Toruń Kujawsko-Pomorskie, Poland | 29.6 | |
| 158 | San Luis de la Paz Guanajuato, Mexico | 29.4 | |
| 159 | Ciudad Nezahualcoyotl México, Mexico | 29.3 | |
| 160 | Bikaner Rajasthan, India | 29.1 | |
| 160 | Bielsko-Biala Silesia, Poland | 29.1 | |
| 162 | Lublin Lublin, Poland | 29.0 | |
| 162 | Haldia West Bengal, India | 29.0 | |
| 164 | Vereeniging low-cost sensors Gauteng, South Africa | 28.9 | |
| 165 | Raipur Chhattisgarh, India | 28.8 | |
| 166 | Łódź Łódź Voivodeship, Poland | 28.6 | |
| 167 | Radom Mazovia, Poland | 28.5 | |
| 168 | Wrocław Lower Silesia, Poland | 28.3 | |
| 169 | Yerevan low-cost sensors Yerevan, Armenia | 28.1 | |
| 170 | Jalor Rajasthan, India | 28.0 | |
| 170 | Gorzów Wielkopolski Lubusz, Poland | 28.0 | |
| 172 | Żyrardów Mazovia, Poland | 27.8 | |
| 172 | Rishīkesh Uttarakhand, India | 27.8 | |
| 174 | Smederevo Central Serbia, Serbia | 27.6 | |
| 174 | Jastrzębie Zdrój Silesia, Poland | 27.6 | |
| 176 | Bydgoszcz Kujawsko-Pomorskie, Poland | 27.3 | |
| 177 | Dębica Subcarpathia, Poland | 27.1 | |
| 177 | Rājsamand Rajasthan, India | 27.1 | |
| 179 | Neelankarai Tamil Nadu, India | 26.9 | |
| 180 | Legionowo Mazovia, Poland | 26.7 | |
| 180 | Karauli Rajasthan, India | 26.7 | |
| 180 | Jelenia Góra Lower Silesia, Poland | 26.7 | |
| 183 | Saugor Madhya Pradesh, India | 26.6 | |
| 183 | Zagreb low-cost sensors Zagreb, Croatia | 26.6 | |
| 185 | Arrah Bihar, India | 26.3 | |
| 186 | Zamość Lublin, Poland | 26.1 | |
| 187 | Jaisalmer Rajasthan, India | 26.0 | |
| 188 | Pruszków Mazovia, Poland | 25.9 | |
| 188 | Kalaburagi Karnataka, India | 25.9 | |
| 188 | Kraków Lesser Poland, Poland | 25.9 | |
| 191 | Warsaw Mazovia, Poland | 25.8 | |
| 191 | Belgrade Central Serbia, Serbia | 25.8 | |
| 191 | Birmingham low-cost sensors England, United Kingdom | 25.8 | |
| 194 | Rzeszów Subcarpathia, Poland | 25.6 | |
| 195 | Radomsko Łódź Voivodeship, Poland | 25.5 | |
| 195 | Irapuato Guanajuato, Mexico | 25.5 | |
| 197 | Opole Opole Voivodeship, Poland | 25.4 | |
| 198 | Szczecin West Pomerania, Poland | 25.1 | |
| 199 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 25.0 | |
| 199 | Ciechanów Mazovia, Poland | 25.0 |
Top 200 of 2,100 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