SmogRank / History / week of June 16, 2025
Most polluted cities, week of June 16, 2025
1,633 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 | Saltillo Coahuila, Mexico | 147.5 | |
| 2 | Būndi Rajasthan, India | 115.8 | |
| 3 | Cuddalore Tamil Nadu, India | 85.5 | |
| 4 | Karauli Rajasthan, India | 78.5 | |
| 5 | Bhilwara Rajasthan, India | 65.9 | |
| 6 | Sri Ganganagar Rajasthan, India | 64.8 | |
| 7 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 58.2 | |
| 8 | Lahore low-cost sensors Punjab, Pakistan | 57.6 | |
| 9 | Tonk Rajasthan, India | 57.4 | |
| 10 | Dushanbe Dushanbe, Tajikistan | 54.8 | |
| 11 | Sialkot low-cost sensors Punjab, Pakistan | 54.0 | |
| 12 | Dubai low-cost sensors Dubai, United Arab Emirates | 52.4 | |
| 13 | Najafgarh Delhi, India | 49.7 | |
| 14 | Rourkela Odisha, India | 47.7 | |
| 15 | Multan low-cost sensors Punjab, Pakistan | 47.6 | |
| 16 | Rawalpindi low-cost sensors Punjab, Pakistan | 47.4 | |
| 17 | Surat Gujarat, India | 47.2 | |
| 18 | Islamabad low-cost sensors Islamabad, Pakistan | 46.1 | |
| 19 | Narela Delhi, India | 43.6 | |
| 20 | Vereeniging low-cost sensors Gauteng, South Africa | 42.3 | |
| 21 | Bānswāra Rajasthan, India | 41.5 | |
| 22 | Bhāgalpur Bihar, India | 39.0 | |
| 22 | Noida Uttar Pradesh, India | 39.0 | |
| 24 | Baddi Himachal Pradesh, India | 38.8 | |
| 25 | Hyderabad Telangana, India | 38.7 | |
| 26 | Ghāziābād Uttar Pradesh, India | 38.6 | |
| 27 | Nagaon Assam, India | 38.0 | |
| 28 | Rasapūdipalem Andhra Pradesh, India | 36.1 | |
| 29 | Kadapa Andhra Pradesh, India | 36.0 | |
| 30 | Delhi Delhi, India | 34.1 | |
| 31 | Vijayawada Andhra Pradesh, India | 33.8 | |
| 32 | Chandigarh Chandigarh, India | 33.5 | |
| 33 | Lucknow Uttar Pradesh, India | 33.3 | |
| 33 | Gaya Bihar, India | 33.3 | |
| 35 | Saugor Madhya Pradesh, India | 33.2 | |
| 36 | Dādri Uttar Pradesh, India | 32.8 | |
| 37 | Bhelai Chhattisgarh, India | 32.5 | |
| 38 | Nalbāri Assam, India | 32.4 | |
| 39 | Nāgaur Rajasthan, India | 31.8 | |
| 40 | Aya Nagar Delhi, India | 31.2 | |
| 41 | Tirupati Andhra Pradesh, India | 31.0 | |
| 41 | Badger Alaska, United States | 31.0 | |
| 43 | Kanpur Uttar Pradesh, India | 30.5 | |
| 44 | Quthbullapur Telangana, India | 30.1 | |
| 45 | Gummidipundi Tamil Nadu, India | 29.8 | |
| 46 | Jalandhar Punjab, India | 29.7 | |
| 47 | Angul Odisha, India | 29.5 | |
| 47 | Greater Noida Uttar Pradesh, India | 29.5 | |
| 49 | Srinagar Jammu and Kashmir, India | 29.4 | |
| 50 | Hāpur Uttar Pradesh, India | 29.3 | |
| 51 | Hājīpur Bihar, India | 29.2 | |
| 52 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 29.0 | |
| 52 | Ajmer Rajasthan, India | 29.0 | |
| 54 | Dausa Rajasthan, India | 28.9 | |
| 55 | Jaipur Rajasthan, India | 28.7 | |
| 56 | Jabalpur Madhya Pradesh, India | 28.3 | |
| 57 | Cholula Puebla, Mexico | 28.2 | |
| 58 | Kharghar Maharashtra, India | 27.8 | |
| 59 | Agra Uttar Pradesh, India | 27.5 | |
| 60 | Thāne Maharashtra, India | 27.0 | |
| 61 | Jhālāwār Rajasthan, India | 26.8 | |
| 62 | Bengaluru Karnataka, India | 26.7 | |
| 63 | Barbil Odisha, India | 26.6 | |
| 64 | Saharsa Bihar, India | 26.1 | |
| 64 | Dhaulpur Rajasthan, India | 26.1 | |
| 66 | Bhubaneswar Odisha, India | 26.0 | |
| 67 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 25.8 | |
| 67 | Bhiwadi Rajasthan, India | 25.8 | |
| 69 | Kota Rajasthan, India | 25.3 | |
| 70 | Istanbul low-cost sensors Istanbul, Turkey | 25.2 | |
| 70 | Patiāla Punjab, India | 25.2 | |
| 72 | Kolkata West Bengal, India | 25.0 | |
| 73 | Fairbanks Alaska, United States | 24.8 | |
| 74 | Ahmedabad Gujarat, India | 24.6 | |
| 75 | Aguascalientes Aguascalientes, Mexico | 24.5 | |
| 76 | Vapi Gujarat, India | 24.4 | |
| 77 | Rangiora Canterbury, New Zealand | 24.0 | |
| 78 | Kalyān Maharashtra, India | 23.9 | |
| 79 | Boisar Maharashtra, India | 23.2 | |
| 79 | Yamanashi Yamanashi, Japan | 23.2 | |
| 81 | Patna Bihar, India | 22.9 | |
| 82 | Durgapur West Bengal, India | 22.7 | |
| 82 | Byasanagar Odisha, India | 22.7 | |
| 84 | Ōtsuki Yamanashi, Japan | 22.6 | |
| 85 | Calexico California, United States | 22.5 | |
| 86 | Hanumāngarh Rajasthan, India | 22.4 | |
| 87 | Coimbatore Tamil Nadu, India | 22.1 | |
| 87 | Vijayapura Karnataka, India | 22.1 | |
| 89 | Quetta low-cost sensors Balochistan, Pakistan | 21.8 | |
| 90 | Jaisalmer Rajasthan, India | 21.4 | |
| 90 | Gandhinagar Gujarat, India | 21.4 | |
| 92 | Silchar Assam, India | 21.3 | |
| 93 | Cuttack Odisha, India | 21.2 | |
| 94 | Ciudad Juárez Chihuahua, Mexico | 21.1 | |
| 95 | Dūngarpur Rajasthan, India | 20.9 | |
| 96 | Neelankarai Tamil Nadu, India | 20.8 | |
| 97 | Jalor Rajasthan, India | 20.5 | |
| 98 | Shrīrāmpur West Bengal, India | 20.4 | |
| 98 | Aurangabad Maharashtra, India | 20.4 | |
| 100 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 20.2 | |
| 100 | Sīkar Rajasthan, India | 20.2 | |
| 102 | Dhule Maharashtra, India | 20.1 | |
| 102 | Anan Tokushima, Japan | 20.1 | |
| 104 | Bhiwandi Maharashtra, India | 19.8 | |
| 105 | Rairangpur Odisha, India | 19.5 | |
| 106 | Iloilo low-cost sensors Western Visayas, Philippines | 19.4 | |
| 107 | Chennai Tamil Nadu, India | 19.2 | |
| 108 | Tirumala Andhra Pradesh, India | 18.8 | |
| 108 | Bārān Rajasthan, India | 18.8 | |
| 110 | Nagpur Maharashtra, India | 18.7 | |
| 111 | Bhopal Madhya Pradesh, India | 18.6 | |
| 111 | Ankleshwar Gujarat, India | 18.6 | |
| 113 | Prayagraj Uttar Pradesh, India | 18.4 | |
| 113 | Kofu Yamanashi, Japan | 18.4 | |
| 115 | Tijuana Baja California, Mexico | 18.2 | |
| 115 | Bizen Okayama, Japan | 18.2 | |
| 117 | Nipomo California, United States | 18.1 | |
| 118 | Timaru Canterbury, New Zealand | 18.0 | |
| 119 | Rānīganj West Bengal, India | 17.9 | |
| 120 | Brawley California, United States | 17.8 | |
| 121 | Nashik Maharashtra, India | 17.7 | |
| 122 | Sagae Yamagata, Japan | 17.5 | |
| 122 | Mima Tokushima, Japan | 17.5 | |
| 124 | Onomichi Hiroshima, Japan | 17.4 | |
| 125 | Winterthur low-cost sensors Zurich, Switzerland | 17.3 | |
| 126 | Panvel Maharashtra, India | 17.2 | |
| 126 | Naucalpan de Juárez México, Mexico | 17.2 | |
| 128 | Rājsamand Rajasthan, India | 17.1 | |
| 128 | Aioi Hyōgo, Japan | 17.1 | |
| 130 | Shivamogga Karnataka, India | 17.0 | |
| 130 | Gwalior Madhya Pradesh, India | 17.0 | |
| 132 | Niihama Ehime, Japan | 16.9 | |
| 132 | Kariya Hyōgo, Japan | 16.9 | |
| 132 | Tatsuno Hyōgo, Japan | 16.9 | |
| 135 | Gudalur Tamil Nadu, India | 16.8 | |
| 135 | Bārmer Rajasthan, India | 16.8 | |
| 135 | Fontana California, United States | 16.8 | |
| 138 | Saijō Ehime, Japan | 16.7 | |
| 138 | Užice Central Serbia, Serbia | 16.7 | |
| 138 | Shikokuchūō Ehime, Japan | 16.7 | |
| 141 | Kasaoka Okayama, Japan | 16.6 | |
| 141 | Arroyo Grande California, United States | 16.6 | |
| 143 | Socorro Texas, United States | 16.5 | |
| 143 | Pimpri-Chinchwad Maharashtra, India | 16.5 | |
| 145 | Āsansol West Bengal, India | 16.4 | |
| 146 | Kalaburagi Karnataka, India | 16.3 | |
| 147 | Sasarām Bihar, India | 16.2 | |
| 147 | Hubballi Karnataka, India | 16.2 | |
| 149 | Shin’ichi Hiroshima, Japan | 16.1 | |
| 149 | Imabari Ehime, Japan | 16.1 | |
| 149 | Christchurch Canterbury, New Zealand | 16.1 | |
| 149 | Victoria de Durango Durango, Mexico | 16.1 | |
| 149 | Owariasahi Aichi, Japan | 16.1 | |
| 154 | Akola Maharashtra, India | 16.0 | |
| 154 | Kashiwara Nara, Japan | 16.0 | |
| 156 | Haldia West Bengal, India | 15.9 | |
| 156 | Yawata Kyoto, Japan | 15.9 | |
| 156 | Ikedachō Tokushima, Japan | 15.9 | |
| 156 | Sydney low-cost sensors New South Wales, Australia | 15.9 | |
| 156 | Jurupa Valley California, United States | 15.9 | |
| 161 | Tottori-shi Tottori, Japan | 15.7 | |
| 161 | Sandachō Hyōgo, Japan | 15.7 | |
| 161 | Kurashiki Okayama, Japan | 15.7 | |
| 161 | Valjevo Central Serbia, Serbia | 15.7 | |
| 161 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 15.7 | |
| 161 | Puebla Puebla, Mexico | 15.7 | |
| 167 | Chānda Maharashtra, India | 15.6 | |
| 167 | Ono Hyōgo, Japan | 15.6 | |
| 167 | Itoigawa Niigata, Japan | 15.6 | |
| 167 | San Diego California, United States | 15.6 | |
| 167 | Matsusaka Mie, Japan | 15.6 | |
| 172 | Pratāpgarh Rajasthan, India | 15.5 | |
| 172 | Youkaichi Shiga, Japan | 15.5 | |
| 172 | Okayama Okayama, Japan | 15.5 | |
| 172 | Lake Elsinore California, United States | 15.5 | |
| 176 | Morādābād Uttar Pradesh, India | 15.4 | |
| 176 | Uozu Toyama, Japan | 15.4 | |
| 176 | Higashinozoe Hyōgo, Japan | 15.4 | |
| 176 | Kashihara-shi Nara, Japan | 15.4 | |
| 176 | Iwade Wakayama, Japan | 15.4 | |
| 181 | Ayabe Kyoto, Japan | 15.3 | |
| 181 | Nagai Yamagata, Japan | 15.3 | |
| 183 | Nagahama Shiga, Japan | 15.2 | |
| 183 | Marugame Kagawa, Japan | 15.2 | |
| 183 | Kakogawachō-honmachi Hyōgo, Japan | 15.2 | |
| 186 | Wan Chai Wan Chai, Hong Kong | 15.1 | |
| 186 | Ikaruga Hyōgo, Japan | 15.1 | |
| 186 | Iga Mie, Japan | 15.1 | |
| 189 | Tsuyama Okayama, Japan | 15.0 | |
| 189 | Fukuyama Hiroshima, Japan | 15.0 | |
| 189 | Inabe Mie, Japan | 15.0 | |
| 189 | Ayase Kanagawa, Japan | 15.0 | |
| 193 | Bikaner Rajasthan, India | 14.9 | |
| 193 | Riverside California, United States | 14.9 | |
| 195 | Mahād Maharashtra, India | 14.8 | |
| 195 | Toki Gifu, Japan | 14.8 | |
| 197 | Tsuruoka Yamagata, Japan | 14.7 | |
| 197 | Kochi Kochi, Japan | 14.7 | |
| 197 | Fukuchiyama Kyoto, Japan | 14.7 | |
| 197 | Glendora California, United States | 14.7 |
Top 200 of 1,633 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