SmogRank / History / September 7, 2025
Most polluted cities on September 7, 2025
2,375 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 | 252.4 | |
| 2 | Santa Lucía Canary Islands, Spain | 114.0 | |
| 3 | Kanchipuram Tamil Nadu, India | 81.2 | |
| 4 | Gummidipundi Tamil Nadu, India | 68.3 | |
| 5 | Serilingampalle Telangana, India | 66.2 | |
| 6 | Kigali Kigali, Rwanda | 64.2 | |
| 7 | Chāpra Bihar, India | 61.2 | |
| 8 | Istanbul low-cost sensors Istanbul, Turkey | 58.9 | |
| 9 | Dushanbe Dushanbe, Tajikistan | 57.0 | |
| 10 | Cranbrook British Columbia, Canada | 56.2 | |
| 11 | Angul Odisha, India | 51.7 | |
| 12 | Faisalabad low-cost sensors Punjab, Pakistan | 51.4 | |
| 13 | Lima Lima Province, Peru | 50.0 | |
| 14 | Prince George British Columbia, Canada | 49.8 | |
| 15 | Rasapūdipalem Andhra Pradesh, India | 46.5 | |
| 16 | Vereeniging low-cost sensors Gauteng, South Africa | 45.3 | |
| 17 | Muzaffarnagar Uttar Pradesh, India | 44.6 | |
| 18 | Sri Ganganagar Rajasthan, India | 44.4 | |
| 19 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 43.8 | |
| 20 | Tirupati Andhra Pradesh, India | 43.1 | |
| 21 | Kadapa Andhra Pradesh, India | 42.2 | |
| 22 | Grants Pass Oregon, United States | 41.0 | |
| 23 | Lethbridge Alberta, Canada | 39.5 | |
| 24 | Multan low-cost sensors Punjab, Pakistan | 39.2 | |
| 25 | Dubai low-cost sensors Dubai, United Arab Emirates | 38.4 | |
| 26 | Buxar Bihar, India | 37.9 | |
| 27 | Kelowna British Columbia, Canada | 37.7 | |
| 28 | Fort St. John British Columbia, Canada | 37.5 | |
| 29 | Rairangpur Odisha, India | 37.3 | |
| 30 | Anantapur Andhra Pradesh, India | 37.1 | |
| 31 | Edmonton Alberta, Canada | 36.8 | |
| 31 | Grande Prairie Alberta, Canada | 36.8 | |
| 33 | Rourkela Odisha, India | 36.3 | |
| 34 | Cholula Puebla, Mexico | 35.3 | |
| 35 | Vijayawada Andhra Pradesh, India | 34.8 | |
| 36 | Ashaiman low-cost sensors Greater Accra, Ghana | 34.7 | |
| 37 | Bahawalpur low-cost sensors Punjab, Pakistan | 34.2 | |
| 38 | Kamloops British Columbia, Canada | 33.9 | |
| 39 | Calgary Alberta, Canada | 33.7 | |
| 40 | Vernon British Columbia, Canada | 33.1 | |
| 41 | Bhiwadi Rajasthan, India | 32.7 | |
| 42 | Quthbullapur Telangana, India | 32.5 | |
| 43 | Addis Ababa Addis Ababa, Ethiopia | 32.0 | |
| 44 | Joda Odisha, India | 31.8 | |
| 45 | San Francisco De Borja Lima region, Peru | 31.5 | |
| 46 | Karachi low-cost sensors Sindh, Pakistan | 31.4 | |
| 47 | Narela Delhi, India | 31.1 | |
| 48 | Kanpur Uttar Pradesh, India | 31.0 | |
| 49 | Lagos low-cost sensors Lagos, Nigeria | 30.8 | |
| 50 | Great Falls Montana, United States | 30.6 | |
| 51 | Badlapur Maharashtra, India | 30.3 | |
| 52 | Butte Montana, United States | 30.2 | |
| 53 | Xonacatlán México, Mexico | 29.8 | |
| 53 | Helena Montana, United States | 29.8 | |
| 55 | Missoula Montana, United States | 29.6 | |
| 56 | Callao Callao, Peru | 29.3 | |
| 57 | Jakarta Jakarta, Indonesia | 29.1 | |
| 58 | Medford Oregon, United States | 28.9 | |
| 59 | Arāria Bihar, India | 28.7 | |
| 59 | Quezon City low-cost sensors National Capital Region, Philippines | 28.7 | |
| 61 | Nalbāri Assam, India | 28.5 | |
| 62 | Kolkata West Bengal, India | 28.0 | |
| 63 | Shivamogga Karnataka, India | 27.9 | |
| 64 | Lahore low-cost sensors Punjab, Pakistan | 27.8 | |
| 64 | Gujranwala low-cost sensors Punjab, Pakistan | 27.8 | |
| 64 | Kalyān Maharashtra, India | 27.8 | |
| 64 | Maspalomas Canary Islands, Spain | 27.8 | |
| 68 | St. Albert Alberta, Canada | 27.7 | |
| 69 | Ropar Punjab, India | 27.4 | |
| 70 | Barbil Odisha, India | 27.2 | |
| 71 | Ajmer Rajasthan, India | 27.1 | |
| 72 | Quetta low-cost sensors Balochistan, Pakistan | 26.8 | |
| 73 | Noida Uttar Pradesh, India | 26.4 | |
| 74 | Delhi Delhi, India | 26.3 | |
| 75 | Almaty low-cost sensors Almaty, Kazakhstan | 26.2 | |
| 76 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 26.1 | |
| 76 | Sherwood Park Alberta, Canada | 26.1 | |
| 78 | Chennai Tamil Nadu, India | 25.9 | |
| 79 | Tema low-cost sensors Greater Accra, Ghana | 25.8 | |
| 80 | Baripāda Odisha, India | 25.3 | |
| 81 | Hyderabad Telangana, India | 25.2 | |
| 81 | Ashland Oregon, United States | 25.2 | |
| 83 | Durgapur West Bengal, India | 25.1 | |
| 84 | Jaén Andalusia, Spain | 25.0 | |
| 85 | Begusarai Bihar, India | 24.9 | |
| 86 | Sialkot low-cost sensors Punjab, Pakistan | 24.8 | |
| 86 | Bengaluru Karnataka, India | 24.8 | |
| 88 | Rawalpindi low-cost sensors Punjab, Pakistan | 24.7 | |
| 89 | Baddi Himachal Pradesh, India | 24.6 | |
| 90 | Red Deer Alberta, Canada | 24.4 | |
| 91 | Aya Nagar Delhi, India | 24.3 | |
| 92 | Silchar Assam, India | 24.2 | |
| 93 | Karur Tamil Nadu, India | 24.1 | |
| 93 | Neelankarai Tamil Nadu, India | 24.1 | |
| 95 | Rānīganj West Bengal, India | 24.0 | |
| 96 | Najafgarh Delhi, India | 23.9 | |
| 96 | Evergem Flanders, Belgium | 23.9 | |
| 98 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 23.5 | |
| 99 | Vršac Vojvodina, Serbia | 23.4 | |
| 100 | Ghāziābād Uttar Pradesh, India | 23.3 | |
| 101 | Nagaon Assam, India | 23.2 | |
| 102 | Iloilo low-cost sensors Western Visayas, Philippines | 23.0 | |
| 102 | San Luis de la Paz Guanajuato, Mexico | 23.0 | |
| 102 | Byasanagar Odisha, India | 23.0 | |
| 105 | Morādābād Uttar Pradesh, India | 22.9 | |
| 105 | García Nuevo León, Mexico | 22.9 | |
| 107 | Jalandhar Punjab, India | 22.8 | |
| 107 | Puebla Puebla, Mexico | 22.8 | |
| 109 | Duque de Caxias Rio de Janeiro, Brazil | 22.7 | |
| 110 | Vapi Gujarat, India | 22.4 | |
| 110 | Navalpattu Tamil Nadu, India | 22.4 | |
| 112 | Vijayapura Karnataka, India | 22.2 | |
| 112 | Accra low-cost sensors Greater Accra, Ghana | 22.2 | |
| 114 | Tuxtla Chiapas, Mexico | 21.6 | |
| 115 | Gūduvāncheri Tamil Nadu, India | 21.4 | |
| 116 | Yakima Washington, United States | 21.3 | |
| 117 | Fort McMurray Alberta, Canada | 21.1 | |
| 118 | Ciudad Benito Juárez Nuevo León, Mexico | 20.8 | |
| 119 | Latur Maharashtra, India | 20.7 | |
| 120 | Tulancingo Hidalgo, Mexico | 20.6 | |
| 121 | Panvel Maharashtra, India | 20.5 | |
| 121 | Ankleshwar Gujarat, India | 20.5 | |
| 123 | Gwalior Madhya Pradesh, India | 20.4 | |
| 123 | Lorca Murcia, Spain | 20.4 | |
| 123 | Wenatchee Washington, United States | 20.4 | |
| 126 | Hāpur Uttar Pradesh, India | 20.3 | |
| 126 | Bhiwandi Maharashtra, India | 20.3 | |
| 126 | Tehuacán Puebla, Mexico | 20.3 | |
| 129 | Hubballi Karnataka, India | 20.1 | |
| 130 | Monterrey Nuevo León, Mexico | 20.0 | |
| 131 | Celaya Guanajuato, Mexico | 19.8 | |
| 132 | Kalaburagi Karnataka, India | 19.5 | |
| 133 | Shrīrāmpur West Bengal, India | 19.4 | |
| 134 | Agüimes Canary Islands, Spain | 19.3 | |
| 134 | Tula de Allende Hidalgo, Mexico | 19.3 | |
| 136 | Manlleu Catalonia, Spain | 19.2 | |
| 136 | Mixquiahuala de Juárez Hidalgo, Mexico | 19.2 | |
| 138 | San Martin Texmelucan de Labastida Puebla, Mexico | 19.1 | |
| 139 | Islamabad low-cost sensors Islamabad, Pakistan | 18.8 | |
| 140 | Thāne Maharashtra, India | 18.7 | |
| 140 | Nagpur Maharashtra, India | 18.7 | |
| 140 | Cuddalore Tamil Nadu, India | 18.7 | |
| 140 | Bozeman Montana, United States | 18.7 | |
| 144 | Haldia West Bengal, India | 18.6 | |
| 145 | Medina Estates low-cost sensors Greater Accra, Ghana | 18.5 | |
| 146 | Vellore Tamil Nadu, India | 18.4 | |
| 146 | Parbhani Maharashtra, India | 18.4 | |
| 146 | Bānswāra Rajasthan, India | 18.4 | |
| 149 | Cuernavaca Morelos, Mexico | 18.3 | |
| 150 | San Miguel de Allende Guanajuato, Mexico | 18.2 | |
| 150 | Sunnyside Washington, United States | 18.2 | |
| 152 | Pratāpgarh Rajasthan, India | 18.1 | |
| 153 | Spokane Valley Washington, United States | 18.0 | |
| 154 | Sholapur Maharashtra, India | 17.9 | |
| 155 | Aguascalientes Aguascalientes, Mexico | 17.7 | |
| 156 | Gaya Bihar, India | 17.5 | |
| 156 | Arrah Bihar, India | 17.5 | |
| 156 | León de los Aldama Guanajuato, Mexico | 17.5 | |
| 159 | Augustów Podlasie, Poland | 17.3 | |
| 160 | Nanded Maharashtra, India | 17.2 | |
| 160 | Gudalur Tamil Nadu, India | 17.2 | |
| 160 | Amaravati Andhra Pradesh, India | 17.2 | |
| 163 | Hanumāngarh Rajasthan, India | 17.1 | |
| 164 | Siedlce Mazovia, Poland | 17.0 | |
| 164 | Alcantarilla Murcia, Spain | 17.0 | |
| 166 | Cuttack Odisha, India | 16.9 | |
| 166 | Salamanca Guanajuato, Mexico | 16.9 | |
| 166 | La Porte Texas, United States | 16.9 | |
| 169 | Tirunelveli Tamil Nadu, India | 16.8 | |
| 169 | Malegaon Maharashtra, India | 16.8 | |
| 169 | Murcia Murcia, Spain | 16.8 | |
| 169 | Medicine Hat Alberta, Canada | 16.8 | |
| 173 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 16.7 | |
| 174 | Mahād Maharashtra, India | 16.6 | |
| 175 | Ełk Warmia-Masuria, Poland | 16.5 | |
| 175 | Ciudad General Escobedo Nuevo León, Mexico | 16.5 | |
| 177 | Helsinki Uusimaa, Finland | 16.3 | |
| 177 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 16.3 | |
| 177 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 16.3 | |
| 180 | Chandigarh Chandigarh, India | 16.2 | |
| 180 | Molina de Segura Murcia, Spain | 16.2 | |
| 180 | San Juan del Río Querétaro, Mexico | 16.2 | |
| 180 | Wake Forest low-cost sensors North Carolina, United States | 16.2 | |
| 184 | Sekimachi Gifu, Japan | 16.1 | |
| 185 | Spokane Washington, United States | 16.0 | |
| 186 | Lucknow Uttar Pradesh, India | 15.9 | |
| 186 | Shenyang Liaoning, China | 15.9 | |
| 188 | Jumilla Murcia, Spain | 15.8 | |
| 188 | Palencia Castille and León, Spain | 15.8 | |
| 188 | Arvada low-cost sensors Colorado, United States | 15.8 | |
| 191 | Cartagena Murcia, Spain | 15.7 | |
| 191 | Tijuana Baja California, Mexico | 15.7 | |
| 191 | Coeur d'Alene Idaho, United States | 15.7 | |
| 194 | Bangkok low-cost sensors Bangkok, Thailand | 15.6 | |
| 194 | Altamont Oregon, United States | 15.6 | |
| 196 | Prokuplje Central Serbia, Serbia | 15.5 | |
| 196 | Bhayandar Maharashtra, India | 15.5 | |
| 196 | Agra Uttar Pradesh, India | 15.5 | |
| 199 | Dhule Maharashtra, India | 15.4 | |
| 199 | Mumbai Maharashtra, India | 15.4 |
Top 200 of 2,375 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