SmogRank / History / week of July 7, 2025
Most polluted cities, week of July 7, 2025
2,140 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 | Surat Gujarat, India | 289.0 | |
| 2 | Tirupparangunram Tamil Nadu, India | 99.1 | |
| 3 | Dushanbe Dushanbe, Tajikistan | 69.6 | |
| 4 | Bhelai Chhattisgarh, India | 65.8 | |
| 5 | Gujranwala low-cost sensors Punjab, Pakistan | 55.7 | |
| 6 | Gummidipundi Tamil Nadu, India | 54.2 | |
| 7 | Lahore low-cost sensors Punjab, Pakistan | 53.0 | |
| 8 | Prince Albert Saskatchewan, Canada | 52.8 | |
| 9 | Faisalabad low-cost sensors Punjab, Pakistan | 51.8 | |
| 10 | Tirupati Andhra Pradesh, India | 47.1 | |
| 11 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 45.9 | |
| 12 | Hājīpur Bihar, India | 44.2 | |
| 12 | Cuddalore Tamil Nadu, India | 44.2 | |
| 14 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 43.5 | |
| 15 | Sri Ganganagar Rajasthan, India | 43.3 | |
| 16 | Sialkot low-cost sensors Punjab, Pakistan | 40.8 | |
| 17 | Vijayawada Andhra Pradesh, India | 40.5 | |
| 18 | Bānswāra Rajasthan, India | 40.3 | |
| 19 | Joda Odisha, India | 39.5 | |
| 20 | Dubai low-cost sensors Dubai, United Arab Emirates | 39.0 | |
| 20 | Kadapa Andhra Pradesh, India | 39.0 | |
| 22 | Ghāziābād Uttar Pradesh, India | 38.5 | |
| 23 | Noida Uttar Pradesh, India | 38.3 | |
| 24 | Multan low-cost sensors Punjab, Pakistan | 37.7 | |
| 25 | Baddi Himachal Pradesh, India | 37.5 | |
| 26 | Rasapūdipalem Andhra Pradesh, India | 37.2 | |
| 27 | Anantapur Andhra Pradesh, India | 34.6 | |
| 28 | Karauli Rajasthan, India | 34.4 | |
| 29 | West Fargo North Dakota, United States | 34.3 | |
| 30 | Bhiwadi Rajasthan, India | 34.1 | |
| 31 | Hyderabad Telangana, India | 33.9 | |
| 31 | Vapi Gujarat, India | 33.9 | |
| 33 | Superior Wisconsin, United States | 33.7 | |
| 34 | Mangaluru Karnataka, India | 33.6 | |
| 35 | Muzaffarnagar Uttar Pradesh, India | 32.9 | |
| 36 | Ahmedabad Gujarat, India | 31.8 | |
| 37 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 31.5 | |
| 37 | Saharsa Bihar, India | 31.5 | |
| 37 | San Francisco Tlalcilalcalpan México, Mexico | 31.5 | |
| 40 | La Providencia Siglo XXI Hidalgo, Mexico | 31.4 | |
| 41 | Duluth Minnesota, United States | 31.2 | |
| 42 | Rourkela Odisha, India | 30.8 | |
| 43 | Singrauli Madhya Pradesh, India | 30.5 | |
| 44 | Gwalior Madhya Pradesh, India | 30.4 | |
| 45 | Nalbāri Assam, India | 30.2 | |
| 45 | Dādri Uttar Pradesh, India | 30.2 | |
| 47 | San Salvador Tizatlalli México, Mexico | 29.6 | |
| 48 | Tsuchiura Ibaraki, Japan | 29.4 | |
| 49 | Hyderabad low-cost sensors Sindh, Pakistan | 28.9 | |
| 49 | Kalyān Maharashtra, India | 28.9 | |
| 51 | Rawalpindi low-cost sensors Punjab, Pakistan | 28.8 | |
| 52 | Dhaulpur Rajasthan, India | 28.6 | |
| 53 | Malegaon Maharashtra, India | 28.4 | |
| 53 | Ajmer Rajasthan, India | 28.4 | |
| 55 | Narela Delhi, India | 27.8 | |
| 55 | Chandigarh Chandigarh, India | 27.8 | |
| 57 | Ayase Kanagawa, Japan | 27.6 | |
| 58 | Bhiwandi Maharashtra, India | 27.0 | |
| 58 | Ōtsuki Yamanashi, Japan | 27.0 | |
| 60 | Jalandhar Punjab, India | 26.9 | |
| 60 | Bengaluru Karnataka, India | 26.9 | |
| 62 | Burnsville Minnesota, United States | 26.8 | |
| 62 | Minneapolis Minnesota, United States | 26.8 | |
| 64 | Patna Bihar, India | 26.5 | |
| 65 | Delhi Delhi, India | 26.3 | |
| 66 | Quetta low-cost sensors Balochistan, Pakistan | 26.2 | |
| 67 | Dūngarpur Rajasthan, India | 26.0 | |
| 67 | Saint Cloud Minnesota, United States | 26.0 | |
| 69 | Gandhinagar Gujarat, India | 25.9 | |
| 69 | Blaine Minnesota, United States | 25.9 | |
| 69 | Wadgaon Kolhati Maharashtra, India | 25.9 | |
| 72 | Badlapur Maharashtra, India | 25.7 | |
| 73 | Gaya Bihar, India | 25.4 | |
| 74 | Karachi low-cost sensors Sindh, Pakistan | 25.3 | |
| 74 | Naucalpan de Juárez México, Mexico | 25.3 | |
| 74 | Ebina Kanagawa, Japan | 25.3 | |
| 77 | Fairbanks Alaska, United States | 25.2 | |
| 77 | Mohali Punjab, India | 25.2 | |
| 79 | Kōka Shiga, Japan | 25.0 | |
| 80 | Sīkar Rajasthan, India | 24.8 | |
| 81 | Mahād Maharashtra, India | 24.7 | |
| 81 | Shakopee Minnesota, United States | 24.7 | |
| 83 | Bahawalpur low-cost sensors Punjab, Pakistan | 24.6 | |
| 83 | Nashik Maharashtra, India | 24.6 | |
| 85 | Amravati Maharashtra, India | 24.5 | |
| 86 | Regina Saskatchewan, Canada | 24.4 | |
| 87 | Tonk Rajasthan, India | 24.3 | |
| 87 | Tuxtla Chiapas, Mexico | 24.3 | |
| 89 | Puebla Puebla, Mexico | 24.1 | |
| 90 | Silchar Assam, India | 24.0 | |
| 90 | Najafgarh Delhi, India | 24.0 | |
| 92 | Naka Ibaraki, Japan | 23.9 | |
| 93 | Morādābād Uttar Pradesh, India | 23.8 | |
| 94 | Panvel Maharashtra, India | 23.7 | |
| 95 | Chigasaki Kanagawa, Japan | 23.6 | |
| 95 | Saint Michael Minnesota, United States | 23.6 | |
| 95 | Kharghar Maharashtra, India | 23.6 | |
| 98 | Istanbul low-cost sensors Istanbul, Turkey | 23.5 | |
| 98 | Apple Valley Minnesota, United States | 23.5 | |
| 100 | Nanded Maharashtra, India | 23.4 | |
| 100 | Begusarai Bihar, India | 23.4 | |
| 100 | Minamirinkan Kanagawa, Japan | 23.4 | |
| 103 | Indore Madhya Pradesh, India | 23.3 | |
| 103 | Aihara Kanagawa, Japan | 23.3 | |
| 105 | Ageo Saitama, Japan | 23.2 | |
| 106 | Nāgaur Rajasthan, India | 23.1 | |
| 106 | Neelankarai Tamil Nadu, India | 23.1 | |
| 108 | Jalor Rajasthan, India | 23.0 | |
| 108 | Kolkata West Bengal, India | 23.0 | |
| 108 | Oconomowoc low-cost sensors Wisconsin, United States | 23.0 | |
| 111 | Chennai Tamil Nadu, India | 22.9 | |
| 111 | Atami Shizuoka, Japan | 22.9 | |
| 111 | Jōsō Ibaraki, Japan | 22.9 | |
| 114 | Hāpur Uttar Pradesh, India | 22.8 | |
| 115 | Oyama Tochigi, Japan | 22.7 | |
| 115 | Menuma Saitama, Japan | 22.7 | |
| 115 | Tepeji del Río de Ocampo Hidalgo, Mexico | 22.7 | |
| 118 | Shimo-tsuma Ibaraki, Japan | 22.6 | |
| 119 | Kōnosu Saitama, Japan | 22.5 | |
| 119 | Amaravati Andhra Pradesh, India | 22.5 | |
| 121 | Mankato Minnesota, United States | 22.3 | |
| 122 | Chittorgarh Rajasthan, India | 22.2 | |
| 122 | Ankleshwar Gujarat, India | 22.2 | |
| 124 | Vijayapura Karnataka, India | 22.1 | |
| 124 | Eau Claire Wisconsin, United States | 22.1 | |
| 124 | Higashi-Matsuyama Saitama, Japan | 22.1 | |
| 127 | Chānda Maharashtra, India | 22.0 | |
| 127 | Tahara Aichi, Japan | 22.0 | |
| 127 | Bandō Ibaraki, Japan | 22.0 | |
| 127 | Niiza Saitama, Japan | 22.0 | |
| 131 | Kota Rajasthan, India | 21.9 | |
| 131 | Boisar Maharashtra, India | 21.9 | |
| 131 | Sano Tochigi, Japan | 21.9 | |
| 131 | Odawara Kanagawa, Japan | 21.9 | |
| 131 | Kawaguchi Saitama, Japan | 21.9 | |
| 136 | Nagpur Maharashtra, India | 21.8 | |
| 136 | Nagahama Shiga, Japan | 21.8 | |
| 136 | Asaka Saitama, Japan | 21.8 | |
| 136 | Kodaira Tokyo, Japan | 21.8 | |
| 140 | Coimbatore Tamil Nadu, India | 21.7 | |
| 140 | Aurangabad Maharashtra, India | 21.7 | |
| 140 | Sunland Park New Mexico, United States | 21.7 | |
| 143 | Jhālāwār Rajasthan, India | 21.6 | |
| 143 | Ōme Tokyo, Japan | 21.6 | |
| 145 | Rānīganj West Bengal, India | 21.5 | |
| 145 | Meerut Uttar Pradesh, India | 21.5 | |
| 145 | Minawa Kanagawa, Japan | 21.5 | |
| 145 | Iwaki Fukushima, Japan | 21.5 | |
| 145 | Azamino Kanagawa, Japan | 21.5 | |
| 150 | Kure Hiroshima, Japan | 21.4 | |
| 150 | Mexico City Mexico City, Mexico | 21.4 | |
| 152 | Morohongō Saitama, Japan | 21.3 | |
| 153 | Thāne Maharashtra, India | 21.2 | |
| 153 | Tatebayashi Gunma, Japan | 21.2 | |
| 153 | Sakai-nakajima Gunma, Japan | 21.2 | |
| 153 | Quthbullapur Telangana, India | 21.2 | |
| 153 | Byasanagar Odisha, India | 21.2 | |
| 158 | Kiryū Gunma, Japan | 21.1 | |
| 158 | Hadano Kanagawa, Japan | 21.1 | |
| 158 | Anan Tokushima, Japan | 21.1 | |
| 158 | Saltillo Coahuila, Mexico | 21.1 | |
| 158 | Marquette Michigan, United States | 21.1 | |
| 158 | Chikusei Ibaraki, Japan | 21.1 | |
| 164 | Kukichūō Saitama, Japan | 21.0 | |
| 164 | Fuchū Tokyo, Japan | 21.0 | |
| 166 | Islamabad low-cost sensors Islamabad, Pakistan | 20.9 | |
| 166 | Aioi Hyōgo, Japan | 20.9 | |
| 166 | Akishima Tokyo, Japan | 20.9 | |
| 166 | Kosai Shizuoka, Japan | 20.9 | |
| 170 | Sakado Saitama, Japan | 20.8 | |
| 170 | Mooka Tochigi, Japan | 20.8 | |
| 170 | Kamisu Ibaraki, Japan | 20.8 | |
| 170 | Arida Wakayama, Japan | 20.8 | |
| 170 | Bizen Okayama, Japan | 20.8 | |
| 175 | Tokyo Tokyo, Japan | 20.7 | |
| 175 | Kawagoe Saitama, Japan | 20.7 | |
| 175 | Honjō Saitama, Japan | 20.7 | |
| 178 | Tumkūr Karnataka, India | 20.6 | |
| 178 | Tochigi Tochigi, Japan | 20.6 | |
| 178 | Machida Tokyo, Japan | 20.6 | |
| 178 | Iwade Wakayama, Japan | 20.6 | |
| 182 | Kamakura Kanagawa, Japan | 20.5 | |
| 182 | Yachiyo Chiba, Japan | 20.5 | |
| 184 | Sōka Saitama, Japan | 20.4 | |
| 184 | Shibukawa Gunma, Japan | 20.4 | |
| 184 | Kainan Wakayama, Japan | 20.4 | |
| 184 | Hiratsuka Kanagawa, Japan | 20.4 | |
| 184 | Gotemba Shizuoka, Japan | 20.4 | |
| 184 | Misato, Saitama Saitama, Japan | 20.4 | |
| 184 | Yamato Kanagawa, Japan | 20.4 | |
| 191 | Atsugi Kanagawa, Japan | 20.3 | |
| 191 | Kariya Hyōgo, Japan | 20.3 | |
| 193 | Pune Maharashtra, India | 20.2 | |
| 193 | Koshigaya Saitama, Japan | 20.2 | |
| 193 | Hanyū Saitama, Japan | 20.2 | |
| 196 | Jaipur Rajasthan, India | 20.1 | |
| 196 | Baripāda Odisha, India | 20.1 | |
| 196 | Noda Chiba, Japan | 20.1 | |
| 196 | Kanuma Tochigi, Japan | 20.1 | |
| 196 | Fukuroi Shizuoka, Japan | 20.1 |
Top 200 of 2,140 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