SmogRank / History / week of September 1, 2025
Most polluted cities, week of September 1, 2025
2,213 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 | Calexico California, United States | 157.2 | |
| 2 | Rourkela Odisha, India | 85.0 | |
| 3 | Gummidipundi Tamil Nadu, India | 75.7 | |
| 4 | Chāpra Bihar, India | 71.9 | |
| 5 | Cuddalore Tamil Nadu, India | 67.5 | |
| 6 | Grande Prairie Alberta, Canada | 58.1 | |
| 7 | Faisalabad low-cost sensors Punjab, Pakistan | 57.8 | |
| 8 | Istanbul low-cost sensors Istanbul, Turkey | 56.9 | |
| 9 | Dushanbe Dushanbe, Tajikistan | 52.5 | |
| 10 | Serilingampalle Telangana, India | 51.9 | |
| 11 | Vereeniging low-cost sensors Gauteng, South Africa | 51.8 | |
| 12 | Squamish British Columbia, Canada | 51.3 | |
| 13 | Edmonton Alberta, Canada | 49.3 | |
| 14 | Rasapūdipalem Andhra Pradesh, India | 48.6 | |
| 15 | Calgary Alberta, Canada | 46.8 | |
| 16 | Nalbāri Assam, India | 45.3 | |
| 17 | Fort St. John British Columbia, Canada | 45.1 | |
| 18 | St. Albert Alberta, Canada | 44.4 | |
| 19 | Prince George British Columbia, Canada | 44.3 | |
| 20 | Kadapa Andhra Pradesh, India | 44.0 | |
| 21 | Multan low-cost sensors Punjab, Pakistan | 43.2 | |
| 22 | Sherwood Park Alberta, Canada | 42.3 | |
| 23 | Angul Odisha, India | 41.5 | |
| 24 | Lethbridge Alberta, Canada | 40.9 | |
| 25 | Red Deer Alberta, Canada | 39.3 | |
| 26 | Bahawalpur low-cost sensors Punjab, Pakistan | 39.0 | |
| 27 | Buxar Bihar, India | 37.8 | |
| 28 | Vijayawada Andhra Pradesh, India | 37.6 | |
| 29 | Sri Ganganagar Rajasthan, India | 37.1 | |
| 30 | Wenatchee Washington, United States | 36.7 | |
| 31 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 36.3 | |
| 32 | Dubai low-cost sensors Dubai, United Arab Emirates | 35.5 | |
| 33 | Dhaulpur Rajasthan, India | 35.0 | |
| 34 | Quthbullapur Telangana, India | 34.2 | |
| 35 | Fort McMurray Alberta, Canada | 33.7 | |
| 36 | Anantapur Andhra Pradesh, India | 33.2 | |
| 37 | Bānswāra Rajasthan, India | 33.1 | |
| 38 | Ashaiman low-cost sensors Greater Accra, Ghana | 33.0 | |
| 39 | Bhiwadi Rajasthan, India | 32.1 | |
| 40 | Addis Ababa Addis Ababa, Ethiopia | 31.9 | |
| 41 | Yakima Washington, United States | 31.5 | |
| 42 | Lagos low-cost sensors Lagos, Nigeria | 30.3 | |
| 43 | Ajmer Rajasthan, India | 30.2 | |
| 43 | Vapi Gujarat, India | 30.2 | |
| 45 | Gujranwala low-cost sensors Punjab, Pakistan | 30.1 | |
| 45 | Muzaffarnagar Uttar Pradesh, India | 30.1 | |
| 47 | Quetta low-cost sensors Balochistan, Pakistan | 29.7 | |
| 48 | Lahore low-cost sensors Punjab, Pakistan | 29.5 | |
| 49 | Hyderabad Telangana, India | 29.4 | |
| 50 | Karachi low-cost sensors Sindh, Pakistan | 28.6 | |
| 51 | Cholula Puebla, Mexico | 28.5 | |
| 52 | West Vancouver British Columbia, Canada | 28.0 | |
| 53 | Santa Lucía Canary Islands, Spain | 27.6 | |
| 54 | Cranbrook British Columbia, Canada | 27.5 | |
| 55 | Malegaon Maharashtra, India | 27.4 | |
| 56 | Tema low-cost sensors Greater Accra, Ghana | 27.3 | |
| 57 | Kalyān Maharashtra, India | 27.0 | |
| 58 | Badlapur Maharashtra, India | 26.8 | |
| 58 | Vernon British Columbia, Canada | 26.8 | |
| 60 | Spokane Washington, United States | 26.7 | |
| 61 | Kelowna British Columbia, Canada | 26.5 | |
| 62 | Nagaon Assam, India | 26.4 | |
| 63 | Great Falls Montana, United States | 26.2 | |
| 64 | Tri-Cities Washington, United States | 25.9 | |
| 65 | Spokane Valley Washington, United States | 25.8 | |
| 66 | Helena Montana, United States | 25.5 | |
| 67 | Begusarai Bihar, India | 25.4 | |
| 68 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 25.2 | |
| 68 | Narela Delhi, India | 25.2 | |
| 70 | Coeur d'Alene Idaho, United States | 25.0 | |
| 71 | Kamloops British Columbia, Canada | 24.8 | |
| 72 | Kolkata West Bengal, India | 24.4 | |
| 72 | Changchun low-cost sensors Jilin, China | 24.4 | |
| 74 | Ankleshwar Gujarat, India | 24.3 | |
| 75 | Sunnyside Washington, United States | 24.1 | |
| 76 | Chennai Tamil Nadu, India | 24.0 | |
| 76 | Grants Pass Oregon, United States | 24.0 | |
| 78 | Baripāda Odisha, India | 23.9 | |
| 79 | Jalandhar Punjab, India | 23.7 | |
| 80 | Morādābād Uttar Pradesh, India | 23.5 | |
| 81 | Silchar Assam, India | 23.3 | |
| 81 | Kanpur Uttar Pradesh, India | 23.3 | |
| 83 | Tirupparangunram Tamil Nadu, India | 23.1 | |
| 84 | Swift Current Saskatchewan, Canada | 22.7 | |
| 84 | Kharghar Maharashtra, India | 22.7 | |
| 86 | Medicine Hat Alberta, Canada | 22.5 | |
| 87 | Tonk Rajasthan, India | 22.4 | |
| 88 | San Salvador Tizatlalli México, Mexico | 22.3 | |
| 89 | Joda Odisha, India | 22.2 | |
| 90 | Vijayapura Karnataka, India | 22.1 | |
| 91 | Bikaner Rajasthan, India | 22.0 | |
| 91 | Missoula Montana, United States | 22.0 | |
| 93 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 21.9 | |
| 94 | Mangaluru Karnataka, India | 21.8 | |
| 95 | Butte Montana, United States | 21.7 | |
| 96 | Pratāpgarh Rajasthan, India | 21.6 | |
| 96 | Rairangpur Odisha, India | 21.6 | |
| 98 | Rānīganj West Bengal, India | 21.4 | |
| 98 | Boisar Maharashtra, India | 21.4 | |
| 98 | Ellensburg Washington, United States | 21.4 | |
| 101 | Rawalpindi low-cost sensors Punjab, Pakistan | 21.3 | |
| 101 | Lucknow Uttar Pradesh, India | 21.3 | |
| 103 | Accra low-cost sensors Greater Accra, Ghana | 20.8 | |
| 104 | Bhiwandi Maharashtra, India | 20.7 | |
| 104 | Moscow Idaho, United States | 20.7 | |
| 106 | Wadgaon Kolhati Maharashtra, India | 20.6 | |
| 107 | Ropar Punjab, India | 20.5 | |
| 107 | Delhi Delhi, India | 20.5 | |
| 109 | Sialkot low-cost sensors Punjab, Pakistan | 20.4 | |
| 109 | Ahmedabad Gujarat, India | 20.4 | |
| 109 | Puebla Puebla, Mexico | 20.4 | |
| 109 | Lewiston Idaho, United States | 20.4 | |
| 109 | Saskatoon Saskatchewan, Canada | 20.4 | |
| 114 | Medford Oregon, United States | 20.3 | |
| 114 | Noida Uttar Pradesh, India | 20.3 | |
| 116 | Kalaburagi Karnataka, India | 20.2 | |
| 116 | Hermiston Oregon, United States | 20.2 | |
| 118 | Nanded Maharashtra, India | 19.9 | |
| 119 | Dhule Maharashtra, India | 19.8 | |
| 120 | Surat Gujarat, India | 19.6 | |
| 120 | Patna Bihar, India | 19.6 | |
| 120 | Nagpur Maharashtra, India | 19.6 | |
| 120 | Neelankarai Tamil Nadu, India | 19.6 | |
| 124 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 19.5 | |
| 124 | Inglewood-Finn Hill low-cost sensors Washington, United States | 19.5 | |
| 126 | Rājsamand Rajasthan, India | 19.3 | |
| 127 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 19.2 | |
| 127 | Chilliwack British Columbia, Canada | 19.2 | |
| 129 | Latur Maharashtra, India | 19.1 | |
| 129 | Iloilo low-cost sensors Western Visayas, Philippines | 19.1 | |
| 129 | Baddi Himachal Pradesh, India | 19.1 | |
| 132 | Jincheng Fukien, Taiwan | 19.0 | |
| 133 | Kirkland low-cost sensors Washington, United States | 18.8 | |
| 134 | Jarosław Subcarpathia, Poland | 18.7 | |
| 134 | León de los Aldama Guanajuato, Mexico | 18.7 | |
| 134 | Nandri Rajasthan, India | 18.7 | |
| 137 | Durgapur West Bengal, India | 18.5 | |
| 137 | Medina Estates low-cost sensors Greater Accra, Ghana | 18.5 | |
| 137 | García Nuevo León, Mexico | 18.5 | |
| 137 | Ashland Oregon, United States | 18.5 | |
| 137 | Greater Noida Uttar Pradesh, India | 18.5 | |
| 142 | Shivamogga Karnataka, India | 18.4 | |
| 143 | Zamość Lublin, Poland | 18.3 | |
| 143 | Coquitlam British Columbia, Canada | 18.3 | |
| 145 | Gwalior Madhya Pradesh, India | 18.1 | |
| 145 | Thornton Colorado, United States | 18.1 | |
| 147 | Arvada low-cost sensors Colorado, United States | 18.0 | |
| 148 | Gudalur Tamil Nadu, India | 17.9 | |
| 149 | Jhālāwār Rajasthan, India | 17.8 | |
| 149 | Byasanagar Odisha, India | 17.8 | |
| 151 | Bengaluru Karnataka, India | 17.7 | |
| 151 | Bakersfield California, United States | 17.7 | |
| 153 | Siwān Bihar, India | 17.6 | |
| 153 | Parbhani Maharashtra, India | 17.6 | |
| 155 | Gandhinagar Gujarat, India | 17.5 | |
| 156 | Kota Rajasthan, India | 17.4 | |
| 156 | Arrah Bihar, India | 17.4 | |
| 156 | Naharlagun Arunachal Pradesh, India | 17.4 | |
| 156 | Aya Nagar Delhi, India | 17.4 | |
| 160 | Bozeman Montana, United States | 17.3 | |
| 161 | Bhubaneswar Odisha, India | 17.2 | |
| 161 | Walla Walla Washington, United States | 17.2 | |
| 163 | Jhunjhunūn Rajasthan, India | 17.1 | |
| 164 | Hubballi Karnataka, India | 17.0 | |
| 165 | Ciudad Benito Juárez Nuevo León, Mexico | 16.9 | |
| 166 | Nisko Subcarpathia, Poland | 16.8 | |
| 166 | Jalgaon Maharashtra, India | 16.8 | |
| 166 | Brighton low-cost sensors Colorado, United States | 16.8 | |
| 166 | Billings Montana, United States | 16.8 | |
| 166 | North Vancouver British Columbia, Canada | 16.8 | |
| 171 | Pune Maharashtra, India | 16.7 | |
| 171 | Cuttack Odisha, India | 16.7 | |
| 171 | Mumbai Maharashtra, India | 16.7 | |
| 174 | Sirohi Rajasthan, India | 16.5 | |
| 174 | Ciudad General Escobedo Nuevo León, Mexico | 16.5 | |
| 176 | Shrīrāmpur West Bengal, India | 16.4 | |
| 176 | Agra Uttar Pradesh, India | 16.4 | |
| 176 | Yuanlin Taiwan, Taiwan | 16.4 | |
| 176 | Northglenn low-cost sensors Colorado, United States | 16.4 | |
| 176 | Barbil Odisha, India | 16.4 | |
| 181 | Najafgarh Delhi, India | 16.3 | |
| 181 | Hanumāngarh Rajasthan, India | 16.3 | |
| 183 | Longmont Colorado, United States | 16.2 | |
| 184 | Chānda Maharashtra, India | 16.1 | |
| 185 | Thāne Maharashtra, India | 16.0 | |
| 185 | Nāgaur Rajasthan, India | 16.0 | |
| 185 | Gaya Bihar, India | 16.0 | |
| 185 | Erlun Taiwan, Taiwan | 16.0 | |
| 189 | Snina Prešov Region, Slovakia | 15.9 | |
| 189 | Daxi Taiwan, Taiwan | 15.9 | |
| 189 | Pendleton Oregon, United States | 15.9 | |
| 189 | Abbotsford British Columbia, Canada | 15.9 | |
| 193 | Nampa Idaho, United States | 15.8 | |
| 194 | Chūru Rajasthan, India | 15.7 | |
| 195 | Douliu Taiwan, Taiwan | 15.6 | |
| 195 | Port Coquitlam British Columbia, Canada | 15.6 | |
| 197 | Otwock Mazovia, Poland | 15.5 | |
| 197 | Salamanca Guanajuato, Mexico | 15.5 | |
| 197 | Corcoran California, United States | 15.5 | |
| 197 | Burnaby British Columbia, Canada | 15.5 |
Top 200 of 2,213 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