SmogRank / History / September 17, 2025
Most polluted cities on September 17, 2025
2,288 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 | 254.0 | |
| 2 | Greater Noida Uttar Pradesh, India | 207.0 | |
| 3 | Ingenio Canary Islands, Spain | 94.7 | |
| 4 | Agüimes Canary Islands, Spain | 89.7 | |
| 5 | Undera Gujarat, India | 82.5 | |
| 6 | Gummidipundi Tamil Nadu, India | 75.7 | |
| 7 | Granadilla de Abona Canary Islands, Spain | 73.6 | |
| 8 | Santa Lucía Canary Islands, Spain | 70.7 | |
| 9 | Maspalomas Canary Islands, Spain | 69.0 | |
| 10 | Multan low-cost sensors Punjab, Pakistan | 65.6 | |
| 11 | Neelankarai Tamil Nadu, India | 64.7 | |
| 12 | Karauli Rajasthan, India | 63.3 | |
| 13 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 55.9 | |
| 14 | Dubai low-cost sensors Dubai, United Arab Emirates | 54.1 | |
| 15 | Noida Uttar Pradesh, India | 52.9 | |
| 16 | Narela Delhi, India | 52.6 | |
| 17 | Gujranwala low-cost sensors Punjab, Pakistan | 51.6 | |
| 18 | Sialkot low-cost sensors Punjab, Pakistan | 51.5 | |
| 19 | Bhiwadi Rajasthan, India | 48.6 | |
| 20 | Lahore low-cost sensors Punjab, Pakistan | 48.4 | |
| 21 | Byasanagar Odisha, India | 48.3 | |
| 22 | Delhi Delhi, India | 46.0 | |
| 23 | Faisalabad low-cost sensors Punjab, Pakistan | 45.8 | |
| 24 | Tirupparangunram Tamil Nadu, India | 45.1 | |
| 25 | Ankleshwar Gujarat, India | 44.5 | |
| 26 | Kadapa Andhra Pradesh, India | 44.3 | |
| 27 | Ghāziābād Uttar Pradesh, India | 44.2 | |
| 28 | Rawalpindi low-cost sensors Punjab, Pakistan | 42.3 | |
| 29 | Bhāgalpur Bihar, India | 41.7 | |
| 30 | Muzaffarnagar Uttar Pradesh, India | 41.3 | |
| 31 | Dādri Uttar Pradesh, India | 40.0 | |
| 31 | Bānswāra Rajasthan, India | 40.0 | |
| 33 | Baddi Himachal Pradesh, India | 39.9 | |
| 34 | Tonk Rajasthan, India | 39.7 | |
| 34 | Serilingampalle Telangana, India | 39.7 | |
| 36 | Dushanbe Dushanbe, Tajikistan | 38.5 | |
| 37 | Buxar Bihar, India | 37.9 | |
| 38 | Kalyān Maharashtra, India | 37.6 | |
| 39 | Najafgarh Delhi, India | 37.5 | |
| 40 | Agra Uttar Pradesh, India | 37.3 | |
| 41 | Gwalior Madhya Pradesh, India | 37.1 | |
| 42 | Rasapūdipalem Andhra Pradesh, India | 36.7 | |
| 43 | Hāpur Uttar Pradesh, India | 35.8 | |
| 44 | Tirupati Andhra Pradesh, India | 35.7 | |
| 45 | Hyderabad Telangana, India | 34.9 | |
| 46 | Ajmer Rajasthan, India | 34.7 | |
| 47 | Sirohi Rajasthan, India | 34.4 | |
| 47 | Vapi Gujarat, India | 34.4 | |
| 49 | Cuautla Morelos, Mexico | 34.3 | |
| 50 | Kharghar Maharashtra, India | 34.2 | |
| 51 | Arucas Canary Islands, Spain | 33.6 | |
| 52 | Aya Nagar Delhi, India | 33.5 | |
| 53 | Joda Odisha, India | 33.4 | |
| 54 | Sri Ganganagar Rajasthan, India | 33.1 | |
| 55 | Addis Ababa Addis Ababa, Ethiopia | 32.7 | |
| 56 | Arona Canary Islands, Spain | 31.8 | |
| 57 | Lucknow Uttar Pradesh, India | 30.9 | |
| 58 | Jalgaon Maharashtra, India | 30.6 | |
| 58 | La Orotava Canary Islands, Spain | 30.6 | |
| 60 | Patna Bihar, India | 30.0 | |
| 61 | Jhunjhunūn Rajasthan, India | 29.8 | |
| 61 | Bharatpur Rajasthan, India | 29.8 | |
| 61 | Lagos low-cost sensors Lagos, Nigeria | 29.8 | |
| 64 | Vijayawada Andhra Pradesh, India | 29.4 | |
| 65 | Karachi low-cost sensors Sindh, Pakistan | 29.2 | |
| 65 | Wadgaon Kolhati Maharashtra, India | 29.2 | |
| 67 | Jhālāwār Rajasthan, India | 29.1 | |
| 68 | Coimbatore Tamil Nadu, India | 28.7 | |
| 69 | Hājīpur Bihar, India | 28.6 | |
| 70 | Baripāda Odisha, India | 28.5 | |
| 71 | Fengshan Takao, Taiwan | 28.0 | |
| 72 | Bahawalpur low-cost sensors Punjab, Pakistan | 27.9 | |
| 73 | Arāria Bihar, India | 27.7 | |
| 74 | Telde Canary Islands, Spain | 27.3 | |
| 75 | Chittorgarh Rajasthan, India | 27.2 | |
| 76 | Aurangabad Maharashtra, India | 27.1 | |
| 77 | Cuddalore Tamil Nadu, India | 27.0 | |
| 78 | Quezon City low-cost sensors National Capital Region, Philippines | 26.8 | |
| 79 | Malegaon Maharashtra, India | 26.6 | |
| 80 | Nashik Maharashtra, India | 26.1 | |
| 80 | Yamanashi Yamanashi, Japan | 26.1 | |
| 82 | Quetta low-cost sensors Balochistan, Pakistan | 26.0 | |
| 82 | Ropar Punjab, India | 26.0 | |
| 82 | Jalandhar Punjab, India | 26.0 | |
| 82 | Buzi Taiwan, Taiwan | 26.0 | |
| 86 | Quthbullapur Telangana, India | 25.9 | |
| 87 | Jaipur Rajasthan, India | 25.8 | |
| 88 | Yuma Arizona, United States | 25.6 | |
| 89 | Panvel Maharashtra, India | 25.5 | |
| 89 | Taichung Taiwan, Taiwan | 25.5 | |
| 91 | Bārān Rajasthan, India | 25.3 | |
| 91 | Ashaiman low-cost sensors Greater Accra, Ghana | 25.3 | |
| 93 | Morādābād Uttar Pradesh, India | 24.7 | |
| 94 | Tanabe Wakayama, Japan | 24.5 | |
| 95 | Shingū Wakayama, Japan | 24.4 | |
| 96 | Arida Wakayama, Japan | 24.2 | |
| 97 | Kainan Wakayama, Japan | 23.7 | |
| 98 | Chandigarh Chandigarh, India | 23.4 | |
| 99 | Pratāpgarh Rajasthan, India | 23.2 | |
| 100 | San Isidro Canary Islands, Spain | 23.1 | |
| 101 | Chennai Tamil Nadu, India | 23.0 | |
| 101 | Kolkata West Bengal, India | 23.0 | |
| 101 | Gobō Wakayama, Japan | 23.0 | |
| 104 | Augusta Georgia, United States | 22.9 | |
| 105 | Gandhinagar Gujarat, India | 22.6 | |
| 106 | Xizhou Taiwan, Taiwan | 22.5 | |
| 106 | Candelaria Canary Islands, Spain | 22.5 | |
| 108 | Sevilla Andalusia, Spain | 22.3 | |
| 108 | Bizen Okayama, Japan | 22.3 | |
| 110 | Nagpur Maharashtra, India | 22.2 | |
| 110 | Changhua Taiwan, Taiwan | 22.2 | |
| 110 | Tuxtla Chiapas, Mexico | 22.2 | |
| 113 | Iwade Wakayama, Japan | 22.1 | |
| 113 | Tema low-cost sensors Greater Accra, Ghana | 22.1 | |
| 115 | Vijayapura Karnataka, India | 21.9 | |
| 116 | Nakamura Kochi, Japan | 21.7 | |
| 116 | Accra low-cost sensors Greater Accra, Ghana | 21.7 | |
| 118 | Ōtsuki Yamanashi, Japan | 21.6 | |
| 119 | Rānīganj West Bengal, India | 21.5 | |
| 119 | Tahara Aichi, Japan | 21.5 | |
| 119 | Yawatahama Ehime, Japan | 21.5 | |
| 122 | Minato Wakayama, Japan | 21.4 | |
| 123 | Taguig low-cost sensors National Capital Region, Philippines | 21.3 | |
| 124 | Badlapur Maharashtra, India | 21.2 | |
| 124 | Corcoran California, United States | 21.2 | |
| 126 | Virār Maharashtra, India | 21.1 | |
| 126 | Kota Rajasthan, India | 21.1 | |
| 128 | Ahmedabad Gujarat, India | 21.0 | |
| 128 | Sandachō Hyōgo, Japan | 21.0 | |
| 128 | Las Palmas de Gran Canaria Canary Islands, Spain | 21.0 | |
| 131 | Higashinozoe Hyōgo, Japan | 20.9 | |
| 131 | Macon Georgia, United States | 20.9 | |
| 133 | Singrauli Madhya Pradesh, India | 20.8 | |
| 134 | Kameoka Kyoto, Japan | 20.6 | |
| 134 | Kakogawachō-honmachi Hyōgo, Japan | 20.6 | |
| 134 | Victoria de Durango Durango, Mexico | 20.6 | |
| 137 | Ono Hyōgo, Japan | 20.5 | |
| 138 | Silchar Assam, India | 20.4 | |
| 138 | Saltillo Coahuila, Mexico | 20.4 | |
| 138 | Kosai Shizuoka, Japan | 20.4 | |
| 141 | Yuanlin Taiwan, Taiwan | 20.3 | |
| 141 | West Memphis Arkansas, United States | 20.3 | |
| 141 | Fort McMurray Alberta, Canada | 20.3 | |
| 144 | Sawai Madhopur Rajasthan, India | 20.2 | |
| 144 | Hubballi Karnataka, India | 20.2 | |
| 144 | Tateyama Chiba, Japan | 20.2 | |
| 147 | Takarazuka Hyōgo, Japan | 20.1 | |
| 148 | Amagasaki Hyōgo, Japan | 20.0 | |
| 149 | Hanumāngarh Rajasthan, India | 19.9 | |
| 149 | Nishinomiya Hyōgo, Japan | 19.9 | |
| 149 | Inabe Mie, Japan | 19.9 | |
| 149 | Kikugawa Shizuoka, Japan | 19.9 | |
| 153 | Gudalur Tamil Nadu, India | 19.8 | |
| 153 | Dausa Rajasthan, India | 19.8 | |
| 153 | Shimoda Shizuoka, Japan | 19.8 | |
| 156 | Toyohashi Aichi, Japan | 19.7 | |
| 156 | Medina Estates low-cost sensors Greater Accra, Ghana | 19.7 | |
| 156 | Kamisu Ibaraki, Japan | 19.7 | |
| 159 | Nantou Taiwan, Taiwan | 19.6 | |
| 159 | Calgary Alberta, Canada | 19.6 | |
| 159 | Minamibōsō Chiba, Japan | 19.6 | |
| 162 | Kishiwada Osaka, Japan | 19.5 | |
| 162 | Kariya Aichi, Japan | 19.5 | |
| 162 | Kariya Hyōgo, Japan | 19.5 | |
| 162 | Sennan Osaka, Japan | 19.5 | |
| 162 | Tatsuno Hyōgo, Japan | 19.5 | |
| 167 | Kōtari Kyoto, Japan | 19.4 | |
| 167 | Fukuroi Shizuoka, Japan | 19.4 | |
| 167 | Aioi Hyōgo, Japan | 19.4 | |
| 167 | Uwajima Ehime, Japan | 19.4 | |
| 171 | Puli Taiwan, Taiwan | 19.3 | |
| 171 | Akashi Hyōgo, Japan | 19.3 | |
| 171 | Kobe Hyōgo, Japan | 19.3 | |
| 174 | Shivamogga Karnataka, India | 19.2 | |
| 174 | Bhilwara Rajasthan, India | 19.2 | |
| 174 | Sekimachi Gifu, Japan | 19.2 | |
| 174 | Izumisano Osaka, Japan | 19.2 | |
| 174 | Hamamatsu Shizuoka, Japan | 19.2 | |
| 174 | Chiba Chiba, Japan | 19.2 | |
| 180 | Uji Kyoto, Japan | 19.1 | |
| 180 | Ikoma Nara, Japan | 19.1 | |
| 180 | Hokota Ibaraki, Japan | 19.1 | |
| 183 | Kalaburagi Karnataka, India | 19.0 | |
| 183 | Kakegawa Shizuoka, Japan | 19.0 | |
| 183 | Yono Osaka, Japan | 19.0 | |
| 183 | Kuwana Mie, Japan | 19.0 | |
| 187 | Toufen Taiwan, Taiwan | 18.9 | |
| 187 | Yokkaichi Mie, Japan | 18.9 | |
| 187 | Toyonaka Osaka, Japan | 18.9 | |
| 187 | Minamirinkan Kanagawa, Japan | 18.9 | |
| 191 | Pune Maharashtra, India | 18.8 | |
| 191 | Osaka Osaka, Japan | 18.8 | |
| 191 | Santa Cruz de Tenerife Canary Islands, Spain | 18.8 | |
| 191 | Kumano Mie, Japan | 18.8 | |
| 195 | Sāngli Maharashtra, India | 18.7 | |
| 195 | Shima Mie, Japan | 18.7 | |
| 197 | Gaya Bihar, India | 18.6 | |
| 197 | Yawata Kyoto, Japan | 18.6 | |
| 197 | Aihara Kanagawa, Japan | 18.6 | |
| 197 | Portsmouth Ohio, United States | 18.6 |
Top 200 of 2,288 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