SmogRank / History / September 3, 2025
Most polluted cities on September 3, 2025
2,249 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Saltillo Coahuila, Mexico | 366.0 | |
| 2 | Squamish British Columbia, Canada | 173.0 | |
| 3 | West Vancouver British Columbia, Canada | 87.2 | |
| 4 | Gummidipundi Tamil Nadu, India | 84.2 | |
| 5 | Dushanbe Dushanbe, Tajikistan | 75.2 | |
| 6 | Rasapūdipalem Andhra Pradesh, India | 66.8 | |
| 7 | Angul Odisha, India | 66.6 | |
| 8 | Serilingampalle Telangana, India | 63.6 | |
| 9 | Cuddalore Tamil Nadu, India | 62.5 | |
| 10 | Lethbridge Alberta, Canada | 62.0 | |
| 11 | Mangaluru Karnataka, India | 60.0 | |
| 12 | Istanbul low-cost sensors Istanbul, Turkey | 57.4 | |
| 13 | Calgary Alberta, Canada | 57.2 | |
| 14 | Fort McMurray Alberta, Canada | 55.5 | |
| 15 | Vereeniging low-cost sensors Gauteng, South Africa | 51.7 | |
| 16 | Bahawalpur low-cost sensors Punjab, Pakistan | 49.1 | |
| 17 | Edmonton Alberta, Canada | 48.2 | |
| 18 | Red Deer Alberta, Canada | 48.0 | |
| 19 | Grande Prairie Alberta, Canada | 47.0 | |
| 20 | Nalbāri Assam, India | 46.6 | |
| 21 | St. Albert Alberta, Canada | 44.2 | |
| 22 | Multan low-cost sensors Punjab, Pakistan | 43.2 | |
| 23 | Sherwood Park Alberta, Canada | 42.7 | |
| 24 | Faisalabad low-cost sensors Punjab, Pakistan | 42.2 | |
| 25 | Prince George British Columbia, Canada | 41.9 | |
| 26 | Chittoor Andhra Pradesh, India | 41.2 | |
| 27 | Malegaon Maharashtra, India | 40.6 | |
| 28 | Coquitlam British Columbia, Canada | 40.1 | |
| 29 | Fort St. John British Columbia, Canada | 39.8 | |
| 30 | Buxar Bihar, India | 38.0 | |
| 31 | Bānswāra Rajasthan, India | 37.6 | |
| 32 | Burnaby British Columbia, Canada | 37.5 | |
| 33 | Lahore low-cost sensors Punjab, Pakistan | 37.3 | |
| 34 | Vapi Gujarat, India | 36.7 | |
| 35 | Bismarck North Dakota, United States | 36.2 | |
| 36 | Ajmer Rajasthan, India | 36.0 | |
| 37 | Tirupparangunram Tamil Nadu, India | 35.6 | |
| 38 | Vijayawada Andhra Pradesh, India | 35.1 | |
| 38 | North Vancouver British Columbia, Canada | 35.1 | |
| 40 | Strawberry Hill British Columbia, Canada | 34.8 | |
| 41 | Vancouver British Columbia, Canada | 34.5 | |
| 42 | Ontinyent Valencia, Spain | 34.1 | |
| 43 | Medicine Hat Alberta, Canada | 33.8 | |
| 44 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 33.7 | |
| 45 | Nagaon Assam, India | 33.4 | |
| 46 | Great Falls Montana, United States | 33.0 | |
| 47 | Harare low-cost sensors Harare, Zimbabwe | 32.6 | |
| 47 | Quthbullapur Telangana, India | 32.6 | |
| 49 | Hyderabad low-cost sensors Sindh, Pakistan | 32.5 | |
| 50 | Dubai low-cost sensors Dubai, United Arab Emirates | 32.3 | |
| 51 | Sri Ganganagar Rajasthan, India | 32.1 | |
| 52 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 31.7 | |
| 53 | Phoenix Arizona, United States | 31.3 | |
| 53 | Chilliwack British Columbia, Canada | 31.3 | |
| 55 | Bakersfield California, United States | 31.2 | |
| 56 | Billings Montana, United States | 31.1 | |
| 57 | Anantapur Andhra Pradesh, India | 31.0 | |
| 57 | Port Coquitlam British Columbia, Canada | 31.0 | |
| 59 | Addis Ababa Addis Ababa, Ethiopia | 30.3 | |
| 60 | Abbotsford British Columbia, Canada | 29.7 | |
| 61 | Ahmedabad Gujarat, India | 29.3 | |
| 61 | Cholula Puebla, Mexico | 29.3 | |
| 63 | Spokane Washington, United States | 29.2 | |
| 64 | Kalyān Maharashtra, India | 28.2 | |
| 65 | Gandhinagar Gujarat, India | 28.0 | |
| 66 | Ankleshwar Gujarat, India | 27.5 | |
| 67 | Badlapur Maharashtra, India | 27.3 | |
| 67 | Bhiwadi Rajasthan, India | 27.3 | |
| 67 | Nandri Rajasthan, India | 27.3 | |
| 70 | San Salvador Tizatlalli México, Mexico | 27.2 | |
| 71 | Inglewood-Finn Hill low-cost sensors Washington, United States | 27.0 | |
| 72 | Quetta low-cost sensors Balochistan, Pakistan | 26.8 | |
| 72 | Rājsamand Rajasthan, India | 26.8 | |
| 74 | Hyderabad Telangana, India | 26.7 | |
| 75 | Nāgaur Rajasthan, India | 26.6 | |
| 75 | Spokane Valley Washington, United States | 26.6 | |
| 77 | Changchun low-cost sensors Jilin, China | 26.4 | |
| 78 | Dhule Maharashtra, India | 25.9 | |
| 78 | Begusarai Bihar, India | 25.9 | |
| 78 | Sunnyside Washington, United States | 25.9 | |
| 81 | Karachi low-cost sensors Sindh, Pakistan | 25.7 | |
| 82 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 25.5 | |
| 83 | Kirkland low-cost sensors Washington, United States | 25.4 | |
| 84 | Silchar Assam, India | 25.3 | |
| 84 | Helena Montana, United States | 25.3 | |
| 86 | Aberdeen South Dakota, United States | 25.0 | |
| 87 | Coeur d'Alene Idaho, United States | 24.8 | |
| 88 | Zamość Lublin, Poland | 24.3 | |
| 89 | Jalgaon Maharashtra, India | 24.1 | |
| 90 | Lagos low-cost sensors Lagos, Nigeria | 23.6 | |
| 90 | Langley British Columbia, Canada | 23.6 | |
| 92 | Panvel Maharashtra, India | 23.5 | |
| 93 | Brookings South Dakota, United States | 23.3 | |
| 94 | Ashaiman low-cost sensors Greater Accra, Ghana | 23.0 | |
| 95 | Sirohi Rajasthan, India | 22.9 | |
| 96 | Naucalpan de Juárez México, Mexico | 22.6 | |
| 97 | Bhiwandi Maharashtra, India | 22.5 | |
| 98 | Watertown South Dakota, United States | 22.2 | |
| 99 | Vijayapura Karnataka, India | 22.1 | |
| 100 | Jhunjhunūn Rajasthan, India | 22.0 | |
| 101 | Boisar Maharashtra, India | 21.9 | |
| 102 | Jaisalmer Rajasthan, India | 21.7 | |
| 102 | Gillette Wyoming, United States | 21.7 | |
| 104 | Guwahati Assam, India | 21.5 | |
| 104 | San Francisco Tlalcilalcalpan México, Mexico | 21.5 | |
| 106 | Nanded Maharashtra, India | 21.4 | |
| 106 | Puebla Puebla, Mexico | 21.4 | |
| 106 | Mexico City Mexico City, Mexico | 21.4 | |
| 109 | Nashik Maharashtra, India | 21.2 | |
| 110 | Fort Dodge Iowa, United States | 21.1 | |
| 110 | Corcoran California, United States | 21.1 | |
| 112 | Narela Delhi, India | 21.0 | |
| 112 | Butte Montana, United States | 21.0 | |
| 114 | Columbia City Washington, United States | 20.9 | |
| 115 | Dūngarpur Rajasthan, India | 20.8 | |
| 116 | Yakima Washington, United States | 20.7 | |
| 117 | Jarosław Subcarpathia, Poland | 20.5 | |
| 117 | Sioux Falls South Dakota, United States | 20.5 | |
| 119 | Nisko Subcarpathia, Poland | 20.4 | |
| 120 | Pune Maharashtra, India | 20.3 | |
| 120 | Wenatchee Washington, United States | 20.3 | |
| 120 | Sheridan Wyoming, United States | 20.3 | |
| 123 | Chānda Maharashtra, India | 20.2 | |
| 123 | Auburn Washington, United States | 20.2 | |
| 125 | Noida Uttar Pradesh, India | 20.0 | |
| 125 | Naharlagun Arunachal Pradesh, India | 20.0 | |
| 127 | Bhilwara Rajasthan, India | 19.9 | |
| 127 | Jincheng Fukien, Taiwan | 19.9 | |
| 129 | Kalaburagi Karnataka, India | 19.8 | |
| 129 | Erlun Taiwan, Taiwan | 19.8 | |
| 129 | Rapid City South Dakota, United States | 19.8 | |
| 129 | Tri-Cities Washington, United States | 19.8 | |
| 133 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 19.7 | |
| 133 | Jodhpur Rajasthan, India | 19.7 | |
| 133 | Chūru Rajasthan, India | 19.7 | |
| 133 | Calexico California, United States | 19.7 | |
| 133 | Swift Current Saskatchewan, Canada | 19.7 | |
| 138 | Mankato Minnesota, United States | 19.6 | |
| 138 | Madera California, United States | 19.6 | |
| 140 | Chennai Tamil Nadu, India | 19.5 | |
| 140 | Kanpur Uttar Pradesh, India | 19.5 | |
| 140 | Mumbai Maharashtra, India | 19.5 | |
| 140 | Sevilla Andalusia, Spain | 19.5 | |
| 140 | Tula de Allende Hidalgo, Mexico | 19.5 | |
| 145 | Snina Prešov Region, Slovakia | 19.4 | |
| 145 | Rourkela Odisha, India | 19.4 | |
| 145 | Bārmer Rajasthan, India | 19.4 | |
| 148 | Jalandhar Punjab, India | 19.3 | |
| 148 | Tempe Arizona, United States | 19.3 | |
| 150 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 19.2 | |
| 150 | Sīkar Rajasthan, India | 19.2 | |
| 150 | Mahād Maharashtra, India | 19.2 | |
| 150 | Rairangpur Odisha, India | 19.2 | |
| 154 | Accra low-cost sensors Greater Accra, Ghana | 19.1 | |
| 155 | Bikaner Rajasthan, India | 19.0 | |
| 155 | Tema low-cost sensors Greater Accra, Ghana | 19.0 | |
| 157 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 18.8 | |
| 157 | Vernon British Columbia, Canada | 18.8 | |
| 159 | Ruse Ruse, Bulgaria | 18.7 | |
| 159 | Richmond British Columbia, Canada | 18.7 | |
| 161 | Kamloops British Columbia, Canada | 18.6 | |
| 161 | Rangiora Canterbury, New Zealand | 18.6 | |
| 163 | Otwock Mazovia, Poland | 18.5 | |
| 163 | Latur Maharashtra, India | 18.5 | |
| 165 | Warsaw Mazovia, Poland | 18.4 | |
| 165 | Saugor Madhya Pradesh, India | 18.4 | |
| 165 | Gudalur Tamil Nadu, India | 18.4 | |
| 168 | Gujranwala low-cost sensors Punjab, Pakistan | 18.3 | |
| 169 | Muzaffarnagar Uttar Pradesh, India | 18.2 | |
| 169 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 18.2 | |
| 169 | Sukuta low-cost sensors Western, Gambia | 18.2 | |
| 172 | Parbhani Maharashtra, India | 18.1 | |
| 172 | Nagpur Maharashtra, India | 18.1 | |
| 172 | Moscow Idaho, United States | 18.1 | |
| 172 | Pimpri-Chinchwad Maharashtra, India | 18.1 | |
| 176 | Hermiston Oregon, United States | 18.0 | |
| 177 | Lublin Lublin, Poland | 17.9 | |
| 177 | Delhi Delhi, India | 17.9 | |
| 177 | Hanford California, United States | 17.9 | |
| 180 | Aurangabad Maharashtra, India | 17.8 | |
| 181 | Patna Bihar, India | 17.7 | |
| 181 | Jalor Rajasthan, India | 17.7 | |
| 183 | Hanumāngarh Rajasthan, India | 17.6 | |
| 184 | Wawer Mazovia, Poland | 17.5 | |
| 184 | Arrah Bihar, India | 17.5 | |
| 186 | Shivamogga Karnataka, India | 17.4 | |
| 187 | West Fargo North Dakota, United States | 17.3 | |
| 187 | Neelankarai Tamil Nadu, India | 17.3 | |
| 189 | Kelowna British Columbia, Canada | 17.1 | |
| 190 | Tonk Rajasthan, India | 17.0 | |
| 191 | Bucharest Bucharest, Romania | 16.9 | |
| 191 | Lucknow Uttar Pradesh, India | 16.9 | |
| 191 | Ourense Galicia, Spain | 16.9 | |
| 191 | León de los Aldama Guanajuato, Mexico | 16.9 | |
| 195 | Augustów Podlasie, Poland | 16.8 | |
| 195 | Chittorgarh Rajasthan, India | 16.8 | |
| 195 | Taibao Taiwan, Taiwan | 16.8 | |
| 198 | Tirumala Andhra Pradesh, India | 16.7 | |
| 198 | Greater Noida Uttar Pradesh, India | 16.7 | |
| 198 | Aya Nagar Delhi, India | 16.7 |
Top 200 of 2,249 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