SmogRank / History / week of March 17, 2025
Most polluted cities, week of March 17, 2025
2,178 cities ranked by their average PM2.5 over the 7 days. A city needs measurements on 70% of the days to be ranked.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Saltillo Coahuila, Mexico | 412.1 | |
| 2 | Cuddalore Tamil Nadu, India | 125.5 | |
| 3 | Nalbāri Assam, India | 125.2 | |
| 4 | Dera Māndi Delhi, India | 120.2 | |
| 5 | Guwahati Assam, India | 99.1 | |
| 6 | Narela Delhi, India | 93.3 | |
| 7 | Meerut Uttar Pradesh, India | 91.6 | |
| 8 | Hājīpur Bihar, India | 83.2 | |
| 9 | Ghāziābād Uttar Pradesh, India | 75.7 | |
| 10 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 75.1 | |
| 11 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 72.5 | |
| 12 | Bhiwadi Rajasthan, India | 71.4 | |
| 13 | Najafgarh Delhi, India | 70.4 | |
| 14 | Muzaffarnagar Uttar Pradesh, India | 69.7 | |
| 15 | Gandhinagar Gujarat, India | 67.9 | |
| 16 | Bāghpat Uttar Pradesh, India | 65.9 | |
| 17 | Gurugram Haryana, India | 63.4 | |
| 18 | Delhi Delhi, India | 61.9 | |
| 19 | Sri Ganganagar Rajasthan, India | 61.7 | |
| 20 | Angul Odisha, India | 60.5 | |
| 21 | Sasarām Bihar, India | 58.7 | |
| 22 | Nagaon Assam, India | 57.8 | |
| 23 | Barbil Odisha, India | 56.1 | |
| 24 | Hanumāngarh Rajasthan, India | 55.2 | |
| 25 | Keonjhargarh Odisha, India | 55.0 | |
| 26 | Nagpur Maharashtra, India | 54.1 | |
| 26 | Jalgaon Maharashtra, India | 54.1 | |
| 28 | Dubai low-cost sensors Dubai, United Arab Emirates | 53.6 | |
| 29 | Ahmedabad Gujarat, India | 53.1 | |
| 30 | Mahād Maharashtra, India | 53.0 | |
| 31 | Sai Mai low-cost sensors Bangkok, Thailand | 52.6 | |
| 32 | Gwalior Madhya Pradesh, India | 52.3 | |
| 32 | Joda Odisha, India | 52.3 | |
| 34 | Tumkūr Karnataka, India | 52.2 | |
| 35 | Durgapur West Bengal, India | 51.9 | |
| 36 | Begusarai Bihar, India | 51.8 | |
| 37 | Lucknow Uttar Pradesh, India | 51.7 | |
| 37 | Jalandhar Punjab, India | 51.7 | |
| 39 | Singrauli Madhya Pradesh, India | 51.6 | |
| 40 | Malegaon Maharashtra, India | 51.0 | |
| 41 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 50.4 | |
| 42 | Rānīganj West Bengal, India | 49.3 | |
| 43 | Boisar Maharashtra, India | 49.1 | |
| 44 | Sholapur Maharashtra, India | 48.9 | |
| 45 | Latur Maharashtra, India | 48.7 | |
| 46 | Bangkok low-cost sensors Bangkok, Thailand | 47.6 | |
| 47 | Ankleshwar Gujarat, India | 46.9 | |
| 48 | Guadalajara Jalisco, Mexico | 46.7 | |
| 49 | Rourkela Odisha, India | 46.6 | |
| 50 | Kharghar Maharashtra, India | 46.5 | |
| 51 | Shillong Meghalaya, India | 45.9 | |
| 51 | Ropar Punjab, India | 45.9 | |
| 51 | Kolkata West Bengal, India | 45.9 | |
| 54 | Patna Bihar, India | 45.3 | |
| 54 | Bhelai Chhattisgarh, India | 45.3 | |
| 54 | Ajmer Rajasthan, India | 45.3 | |
| 57 | Thāne Maharashtra, India | 45.1 | |
| 58 | Nashik Maharashtra, India | 44.9 | |
| 58 | Victoria de Durango Durango, Mexico | 44.9 | |
| 60 | Gangtok Sikkim, India | 44.5 | |
| 61 | Bharatpur Rajasthan, India | 44.4 | |
| 62 | Prayagraj Uttar Pradesh, India | 43.2 | |
| 62 | Agra Uttar Pradesh, India | 43.2 | |
| 64 | Bhiwandi Maharashtra, India | 43.1 | |
| 65 | Dādri Uttar Pradesh, India | 42.9 | |
| 66 | Chānda Maharashtra, India | 42.8 | |
| 67 | Sunland Park New Mexico, United States | 42.5 | |
| 68 | Kalyān Maharashtra, India | 42.4 | |
| 68 | Kłodzko Lower Silesia, Poland | 42.4 | |
| 70 | Dhaulpur Rajasthan, India | 42.3 | |
| 70 | Āsansol West Bengal, India | 42.3 | |
| 72 | Badlapur Maharashtra, India | 42.2 | |
| 72 | Valjevo Central Serbia, Serbia | 42.2 | |
| 74 | El Paso Texas, United States | 42.0 | |
| 75 | San Salvador Tizatlalli México, Mexico | 41.5 | |
| 76 | Pune Maharashtra, India | 40.9 | |
| 77 | Aurangabad Maharashtra, India | 40.8 | |
| 78 | Ciudad Juárez Chihuahua, Mexico | 40.3 | |
| 79 | Hāpur Uttar Pradesh, India | 40.2 | |
| 80 | Chandigarh Chandigarh, India | 40.1 | |
| 81 | Baripāda Odisha, India | 39.7 | |
| 82 | Sawai Madhopur Rajasthan, India | 39.5 | |
| 83 | Nanded Maharashtra, India | 39.4 | |
| 84 | Patiāla Punjab, India | 39.2 | |
| 85 | Akola Maharashtra, India | 39.1 | |
| 86 | Tirupati Andhra Pradesh, India | 38.8 | |
| 87 | Jaipur Rajasthan, India | 38.7 | |
| 88 | Novi Pazar Central Serbia, Serbia | 38.3 | |
| 89 | Vijayawada Andhra Pradesh, India | 38.1 | |
| 89 | Kota Rajasthan, India | 38.1 | |
| 91 | Shrīrāmpur West Bengal, India | 37.7 | |
| 91 | Sāngli Maharashtra, India | 37.7 | |
| 93 | Noida Uttar Pradesh, India | 37.4 | |
| 94 | Cholula Puebla, Mexico | 37.3 | |
| 95 | Czechowice-Dziedzice Silesia, Poland | 37.2 | |
| 96 | Bhilai Chhattisgarh, India | 36.7 | |
| 97 | Mangaluru Karnataka, India | 36.3 | |
| 97 | Gummidipundi Tamil Nadu, India | 36.3 | |
| 99 | Chittorgarh Rajasthan, India | 35.9 | |
| 100 | Saharsa Bihar, India | 35.8 | |
| 100 | Gaya Bihar, India | 35.8 | |
| 102 | Closepet Karnataka, India | 35.7 | |
| 102 | Kanpur Uttar Pradesh, India | 35.7 | |
| 102 | Jhunjhunūn Rajasthan, India | 35.7 | |
| 105 | Byasanagar Odisha, India | 35.3 | |
| 105 | Wadgaon Kolhati Maharashtra, India | 35.3 | |
| 107 | Bhāgalpur Bihar, India | 35.0 | |
| 107 | Amravati Maharashtra, India | 35.0 | |
| 109 | Pimpri-Chinchwad Maharashtra, India | 34.9 | |
| 110 | Dūngarpur Rajasthan, India | 34.8 | |
| 111 | Jodhpur Rajasthan, India | 34.5 | |
| 111 | Buxar Bihar, India | 34.5 | |
| 113 | Żywiec Silesia, Poland | 34.4 | |
| 113 | Mohali Punjab, India | 34.4 | |
| 115 | San Francisco Tlalcilalcalpan México, Mexico | 34.3 | |
| 116 | Virār Maharashtra, India | 34.0 | |
| 117 | Tlaquepaque Jalisco, Mexico | 33.9 | |
| 118 | Vereeniging low-cost sensors Gauteng, South Africa | 33.8 | |
| 119 | Bhayandar Maharashtra, India | 33.7 | |
| 120 | Baddi Himachal Pradesh, India | 33.6 | |
| 121 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 33.3 | |
| 121 | Obrenovac Central Serbia, Serbia | 33.3 | |
| 123 | Chāpra Bihar, India | 33.1 | |
| 123 | San Luis de la Paz Guanajuato, Mexico | 33.1 | |
| 125 | Pratāpgarh Rajasthan, India | 32.8 | |
| 125 | Hacienda Santa Fe Jalisco, Mexico | 32.8 | |
| 127 | Ciudad Nezahualcoyotl México, Mexico | 32.7 | |
| 127 | Irapuato Guanajuato, Mexico | 32.7 | |
| 129 | Kikinda Vojvodina, Serbia | 32.4 | |
| 129 | Stodůlky low-cost sensors Prague, Czechia | 32.4 | |
| 131 | Otwock Mazovia, Poland | 32.2 | |
| 131 | Dhule Maharashtra, India | 32.2 | |
| 131 | Serilingampalle Telangana, India | 32.2 | |
| 134 | Bānswāra Rajasthan, India | 32.1 | |
| 135 | Łask Łódź Voivodeship, Poland | 31.8 | |
| 136 | Bettiah Bihar, India | 31.7 | |
| 137 | Augustów Podlasie, Poland | 31.4 | |
| 137 | Bhilwara Rajasthan, India | 31.4 | |
| 139 | Hyderabad Telangana, India | 31.3 | |
| 140 | Tonk Rajasthan, India | 30.8 | |
| 140 | Rishīkesh Uttarakhand, India | 30.8 | |
| 142 | Kielce Świętokrzyskie, Poland | 30.5 | |
| 142 | Jincheng Fukien, Taiwan | 30.5 | |
| 144 | Dębica Subcarpathia, Poland | 30.4 | |
| 144 | Durg Chhattisgarh, India | 30.4 | |
| 146 | Zamość Lublin, Poland | 30.3 | |
| 146 | Smederevo Central Serbia, Serbia | 30.3 | |
| 146 | Mumbai Maharashtra, India | 30.3 | |
| 146 | Bielsko-Biala Silesia, Poland | 30.3 | |
| 146 | Quthbullapur Telangana, India | 30.3 | |
| 151 | Poznań Greater Poland, Poland | 30.1 | |
| 152 | Włocławek Kujawsko-Pomorskie, Poland | 30.0 | |
| 153 | Kalisz Greater Poland, Poland | 29.9 | |
| 154 | Niš Central Serbia, Serbia | 29.8 | |
| 154 | Tuen Mun Tuen Mun, Hong Kong | 29.8 | |
| 156 | Ciudad Benito Juárez Nuevo León, Mexico | 29.7 | |
| 157 | Radom Mazovia, Poland | 29.6 | |
| 158 | Lublin Lublin, Poland | 29.4 | |
| 158 | Bengaluru Karnataka, India | 29.4 | |
| 158 | Santa Catarina Nuevo León, Mexico | 29.4 | |
| 161 | Užice Central Serbia, Serbia | 29.3 | |
| 162 | Indore Madhya Pradesh, India | 29.0 | |
| 163 | Dausa Rajasthan, India | 28.9 | |
| 163 | Erlun Taiwan, Taiwan | 28.9 | |
| 163 | Mixquiahuala de Juárez Hidalgo, Mexico | 28.9 | |
| 166 | Srinagar Jammu and Kashmir, India | 28.7 | |
| 166 | Birmingham low-cost sensors England, United Kingdom | 28.7 | |
| 168 | Anantapur Andhra Pradesh, India | 28.5 | |
| 169 | Coimbatore Tamil Nadu, India | 28.4 | |
| 169 | Būndi Rajasthan, India | 28.4 | |
| 171 | Volos Thessaly, Greece | 28.3 | |
| 172 | Tainan Taiwan, Taiwan | 28.0 | |
| 173 | Jhālāwār Rajasthan, India | 27.9 | |
| 174 | Wan Chai Wan Chai, Hong Kong | 27.7 | |
| 174 | San Juan del Río Querétaro, Mexico | 27.7 | |
| 176 | Douliu Taiwan, Taiwan | 27.6 | |
| 176 | Yongkang Taiwan, Taiwan | 27.6 | |
| 176 | Tuxtla Chiapas, Mexico | 27.6 | |
| 179 | Arāria Bihar, India | 27.4 | |
| 179 | Gorzów Wielkopolski Lubusz, Poland | 27.4 | |
| 181 | Morādābād Uttar Pradesh, India | 27.3 | |
| 181 | Atlixco Puebla, Mexico | 27.3 | |
| 183 | Rājsamand Rajasthan, India | 27.2 | |
| 184 | Jastrzębie Zdrój Silesia, Poland | 27.0 | |
| 185 | Bikaner Rajasthan, India | 26.8 | |
| 186 | Xinying Taiwan, Taiwan | 26.7 | |
| 187 | Starachowice Świętokrzyskie, Poland | 26.6 | |
| 187 | Raipur Chhattisgarh, India | 26.6 | |
| 187 | Jelenia Góra Lower Silesia, Poland | 26.6 | |
| 187 | Puebla Puebla, Mexico | 26.6 | |
| 191 | Sīkar Rajasthan, India | 26.3 | |
| 191 | Mexico City Mexico City, Mexico | 26.3 | |
| 191 | Greater Noida Uttar Pradesh, India | 26.3 | |
| 194 | Rzeszów Subcarpathia, Poland | 26.2 | |
| 194 | Nisko Subcarpathia, Poland | 26.2 | |
| 196 | Istanbul low-cost sensors Istanbul, Turkey | 26.1 | |
| 197 | Yadgir Karnataka, India | 26.0 | |
| 198 | Dej Cluj County, Romania | 25.9 | |
| 198 | Faridabad Haryana, India | 25.9 | |
| 198 | Beigang Taiwan, Taiwan | 25.9 |
Top 200 of 2,178 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