SmogRank / History / September 2, 2025
Most polluted cities on September 2, 2025
2,220 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Calexico California, United States | 150.3 | |
| 2 | Cuddalore Tamil Nadu, India | 105.0 | |
| 3 | Calgary Alberta, Canada | 100.3 | |
| 4 | Gummidipundi Tamil Nadu, India | 88.5 | |
| 5 | Lethbridge Alberta, Canada | 72.8 | |
| 6 | Grande Prairie Alberta, Canada | 68.6 | |
| 7 | Dubai low-cost sensors Dubai, United Arab Emirates | 67.1 | |
| 8 | Vereeniging low-cost sensors Gauteng, South Africa | 64.9 | |
| 9 | Bikaner Rajasthan, India | 64.8 | |
| 10 | Prince George British Columbia, Canada | 62.3 | |
| 11 | Red Deer Alberta, Canada | 62.2 | |
| 12 | Istanbul low-cost sensors Istanbul, Turkey | 54.2 | |
| 13 | Swift Current Saskatchewan, Canada | 53.4 | |
| 14 | Fort St. John British Columbia, Canada | 49.7 | |
| 15 | Fort McMurray Alberta, Canada | 48.9 | |
| 16 | Medicine Hat Alberta, Canada | 48.0 | |
| 17 | Edmonton Alberta, Canada | 46.6 | |
| 18 | Sri Ganganagar Rajasthan, India | 45.9 | |
| 19 | Faisalabad low-cost sensors Punjab, Pakistan | 44.3 | |
| 20 | Bahawalpur low-cost sensors Punjab, Pakistan | 44.1 | |
| 21 | Vijayawada Andhra Pradesh, India | 42.8 | |
| 22 | St. Albert Alberta, Canada | 42.4 | |
| 23 | Chittoor Andhra Pradesh, India | 42.3 | |
| 24 | Bānswāra Rajasthan, India | 42.2 | |
| 25 | Dushanbe Dushanbe, Tajikistan | 41.9 | |
| 25 | Sherwood Park Alberta, Canada | 41.9 | |
| 27 | Tirupati Andhra Pradesh, India | 41.0 | |
| 28 | Multan low-cost sensors Punjab, Pakistan | 39.7 | |
| 29 | Tirupparangunram Tamil Nadu, India | 38.5 | |
| 29 | Angul Odisha, India | 38.5 | |
| 31 | Kadapa Andhra Pradesh, India | 37.8 | |
| 32 | Buxar Bihar, India | 37.7 | |
| 33 | Rasapūdipalem Andhra Pradesh, India | 35.6 | |
| 34 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 35.0 | |
| 35 | Malegaon Maharashtra, India | 34.5 | |
| 36 | Vapi Gujarat, India | 34.2 | |
| 37 | Changchun low-cost sensors Jilin, China | 34.1 | |
| 38 | Regina Saskatchewan, Canada | 33.9 | |
| 39 | Addis Ababa Addis Ababa, Ethiopia | 33.5 | |
| 40 | Pratāpgarh Rajasthan, India | 33.3 | |
| 41 | Serilingampalle Telangana, India | 33.1 | |
| 42 | Ashaiman low-cost sensors Greater Accra, Ghana | 31.9 | |
| 43 | Nandri Rajasthan, India | 31.6 | |
| 44 | Ajmer Rajasthan, India | 31.3 | |
| 45 | Anantapur Andhra Pradesh, India | 31.2 | |
| 46 | Jincheng Fukien, Taiwan | 30.8 | |
| 47 | Tuxtla Chiapas, Mexico | 30.6 | |
| 48 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 30.5 | |
| 48 | Hājīpur Bihar, India | 30.5 | |
| 50 | Hyderabad low-cost sensors Sindh, Pakistan | 29.4 | |
| 51 | Quetta low-cost sensors Balochistan, Pakistan | 29.2 | |
| 52 | Tema low-cost sensors Greater Accra, Ghana | 29.1 | |
| 53 | Muzaffarnagar Uttar Pradesh, India | 28.6 | |
| 54 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 27.9 | |
| 55 | Kalyān Maharashtra, India | 27.6 | |
| 56 | Jhālāwār Rajasthan, India | 27.5 | |
| 57 | Tonk Rajasthan, India | 27.3 | |
| 58 | Patna Bihar, India | 26.9 | |
| 59 | Rājsamand Rajasthan, India | 26.5 | |
| 60 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 26.0 | |
| 60 | Saskatoon Saskatchewan, Canada | 26.0 | |
| 62 | Lagos low-cost sensors Lagos, Nigeria | 25.8 | |
| 63 | Nagaon Assam, India | 25.7 | |
| 64 | Kota Rajasthan, India | 25.6 | |
| 65 | Wadgaon Kolhati Maharashtra, India | 25.5 | |
| 66 | Begusarai Bihar, India | 25.3 | |
| 67 | Karachi low-cost sensors Sindh, Pakistan | 25.2 | |
| 68 | Dūngarpur Rajasthan, India | 25.1 | |
| 69 | Morādābād Uttar Pradesh, India | 24.6 | |
| 70 | Sirohi Rajasthan, India | 24.5 | |
| 71 | Ankleshwar Gujarat, India | 24.4 | |
| 71 | Bhiwadi Rajasthan, India | 24.4 | |
| 73 | Hyderabad Telangana, India | 24.3 | |
| 73 | Bhilwara Rajasthan, India | 24.3 | |
| 75 | Mangaluru Karnataka, India | 23.7 | |
| 75 | Lucknow Uttar Pradesh, India | 23.7 | |
| 77 | Nāgaur Rajasthan, India | 22.8 | |
| 78 | Silchar Assam, India | 22.7 | |
| 79 | Naucalpan de Juárez México, Mexico | 22.4 | |
| 80 | Gandhinagar Gujarat, India | 22.3 | |
| 80 | Boisar Maharashtra, India | 22.3 | |
| 82 | Kolkata West Bengal, India | 22.1 | |
| 82 | Vijayapura Karnataka, India | 22.1 | |
| 84 | Kharghar Maharashtra, India | 22.0 | |
| 85 | Jodhpur Rajasthan, India | 21.8 | |
| 86 | Wenatchee Washington, United States | 21.5 | |
| 87 | Nanded Maharashtra, India | 21.4 | |
| 88 | Kanpur Uttar Pradesh, India | 21.3 | |
| 88 | Jalor Rajasthan, India | 21.3 | |
| 90 | Jaisalmer Rajasthan, India | 21.2 | |
| 90 | Ahmedabad Gujarat, India | 21.2 | |
| 92 | Jalandhar Punjab, India | 21.1 | |
| 93 | Chennai Tamil Nadu, India | 21.0 | |
| 94 | Bhiwandi Maharashtra, India | 20.8 | |
| 94 | Gdynia Pomerania, Poland | 20.8 | |
| 96 | Łódź Łódź Voivodeship, Poland | 20.7 | |
| 96 | Kalisz Greater Poland, Poland | 20.7 | |
| 98 | Accra low-cost sensors Greater Accra, Ghana | 20.6 | |
| 99 | Great Falls Montana, United States | 20.5 | |
| 100 | Rawalpindi low-cost sensors Punjab, Pakistan | 20.4 | |
| 100 | Lahore low-cost sensors Punjab, Pakistan | 20.4 | |
| 102 | Dhule Maharashtra, India | 20.1 | |
| 102 | Yakima Washington, United States | 20.1 | |
| 104 | Iaşi Iași County, Romania | 20.0 | |
| 104 | Łask Łódź Voivodeship, Poland | 20.0 | |
| 106 | Būndi Rajasthan, India | 19.8 | |
| 107 | Żyrardów Mazovia, Poland | 19.3 | |
| 107 | Jalgaon Maharashtra, India | 19.3 | |
| 107 | Toruń Kujawsko-Pomorskie, Poland | 19.3 | |
| 107 | Corcoran California, United States | 19.3 | |
| 111 | Rairangpur Odisha, India | 19.2 | |
| 112 | Yuanlin Taiwan, Taiwan | 19.1 | |
| 112 | San Francisco Tlalcilalcalpan México, Mexico | 19.1 | |
| 112 | Baddi Himachal Pradesh, India | 19.1 | |
| 115 | Włocławek Kujawsko-Pomorskie, Poland | 18.8 | |
| 116 | Trebišov Košice Region, Slovakia | 18.7 | |
| 116 | Agra Uttar Pradesh, India | 18.7 | |
| 116 | Medina Estates low-cost sensors Greater Accra, Ghana | 18.7 | |
| 116 | Sunnyside Washington, United States | 18.7 | |
| 120 | Moscow Idaho, United States | 18.5 | |
| 121 | Spokane Washington, United States | 18.4 | |
| 122 | Zamość Lublin, Poland | 18.3 | |
| 123 | Nisko Subcarpathia, Poland | 18.2 | |
| 123 | Cholula Puebla, Mexico | 18.2 | |
| 125 | Visalia California, United States | 18.1 | |
| 125 | Bend Oregon, United States | 18.1 | |
| 127 | Kalaburagi Karnataka, India | 18.0 | |
| 127 | Chittorgarh Rajasthan, India | 18.0 | |
| 127 | Prince Albert Saskatchewan, Canada | 18.0 | |
| 130 | Poznań Greater Poland, Poland | 17.9 | |
| 131 | Perundurai Tamil Nadu, India | 17.8 | |
| 132 | Douliu Taiwan, Taiwan | 17.7 | |
| 133 | Nagpur Maharashtra, India | 17.6 | |
| 134 | Arrah Bihar, India | 17.5 | |
| 134 | Taichung Taiwan, Taiwan | 17.5 | |
| 136 | Jaipur Rajasthan, India | 17.4 | |
| 137 | Gwalior Madhya Pradesh, India | 17.3 | |
| 137 | San Salvador Tizatlalli México, Mexico | 17.3 | |
| 139 | Pune Maharashtra, India | 17.2 | |
| 139 | Sopot Pomerania, Poland | 17.2 | |
| 141 | Bārmer Rajasthan, India | 17.1 | |
| 141 | Gdańsk Pomerania, Poland | 17.1 | |
| 143 | Bardejov Prešov Region, Slovakia | 17.0 | |
| 143 | Gudalur Tamil Nadu, India | 17.0 | |
| 143 | Squamish British Columbia, Canada | 17.0 | |
| 146 | Snina Prešov Region, Slovakia | 16.9 | |
| 146 | Lublin Lublin, Poland | 16.9 | |
| 148 | Warsaw Mazovia, Poland | 16.8 | |
| 148 | Buzi Taiwan, Taiwan | 16.8 | |
| 148 | Xizhou Taiwan, Taiwan | 16.8 | |
| 148 | Kelowna British Columbia, Canada | 16.8 | |
| 152 | Radom Mazovia, Poland | 16.7 | |
| 152 | Ishinomaki Miyagi, Japan | 16.7 | |
| 154 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 16.6 | |
| 154 | Otwock Mazovia, Poland | 16.6 | |
| 154 | Latur Maharashtra, India | 16.6 | |
| 154 | Bengaluru Karnataka, India | 16.6 | |
| 154 | Aurangabad Maharashtra, India | 16.6 | |
| 154 | Daxi Taiwan, Taiwan | 16.6 | |
| 160 | Neelankarai Tamil Nadu, India | 16.5 | |
| 161 | Spokane Valley Washington, United States | 16.4 | |
| 162 | Coimbatore Tamil Nadu, India | 16.3 | |
| 162 | Kraków Lesser Poland, Poland | 16.3 | |
| 162 | Ourense Galicia, Spain | 16.3 | |
| 162 | Hermiston Oregon, United States | 16.3 | |
| 166 | Vranov nad Topľou Prešov Region, Slovakia | 16.2 | |
| 166 | Humenné Prešov Region, Slovakia | 16.2 | |
| 166 | Nagai Yamagata, Japan | 16.2 | |
| 169 | Baripāda Odisha, India | 16.1 | |
| 169 | Inglewood-Finn Hill low-cost sensors Washington, United States | 16.1 | |
| 171 | Zhubei Taiwan, Taiwan | 16.0 | |
| 171 | Changhua Taiwan, Taiwan | 16.0 | |
| 173 | Kielce Świętokrzyskie, Poland | 15.9 | |
| 173 | Toufen Taiwan, Taiwan | 15.9 | |
| 173 | Sagae Yamagata, Japan | 15.9 | |
| 176 | Yerevan low-cost sensors Yerevan, Armenia | 15.8 | |
| 176 | Dausa Rajasthan, India | 15.8 | |
| 176 | Cártama Andalusia, Spain | 15.8 | |
| 179 | Cluj-Napoca Cluj County, Romania | 15.7 | |
| 179 | Indore Madhya Pradesh, India | 15.7 | |
| 181 | Medford Oregon, United States | 15.6 | |
| 182 | Rānīganj West Bengal, India | 15.5 | |
| 182 | Keonjhargarh Odisha, India | 15.5 | |
| 182 | Erlun Taiwan, Taiwan | 15.5 | |
| 185 | Siwān Bihar, India | 15.4 | |
| 185 | Bydgoszcz Kujawsko-Pomorskie, Poland | 15.4 | |
| 185 | Kamloops British Columbia, Canada | 15.4 | |
| 188 | Pruszków Mazovia, Poland | 15.3 | |
| 188 | Srinagar Jammu and Kashmir, India | 15.3 | |
| 188 | Jhunjhunūn Rajasthan, India | 15.3 | |
| 188 | Hanford California, United States | 15.3 | |
| 192 | Starachowice Świętokrzyskie, Poland | 15.2 | |
| 192 | Parbhani Maharashtra, India | 15.2 | |
| 192 | Mumbai Maharashtra, India | 15.2 | |
| 192 | Shulin Taipei, Taiwan | 15.2 | |
| 192 | Elbląg Warmia-Masuria, Poland | 15.2 | |
| 197 | Jabalpur Madhya Pradesh, India | 15.1 | |
| 197 | Coeur d'Alene Idaho, United States | 15.1 | |
| 197 | Lewiston Idaho, United States | 15.1 | |
| 197 | Cranbrook British Columbia, Canada | 15.1 |
Top 200 of 2,220 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