SmogRank / History / August 30, 2025
Most polluted cities on August 30, 2025
2,246 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Saltillo Coahuila, Mexico | 366.0 | |
| 2 | Rourkela Odisha, India | 266.9 | |
| 3 | Undera Gujarat, India | 143.0 | |
| 4 | Dausa Rajasthan, India | 130.0 | |
| 5 | Mangaluru Karnataka, India | 105.0 | |
| 6 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 90.3 | |
| 7 | Kanpur Uttar Pradesh, India | 88.2 | |
| 8 | Vereeniging low-cost sensors Gauteng, South Africa | 82.2 | |
| 9 | Surat Gujarat, India | 65.9 | |
| 10 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 60.2 | |
| 11 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 58.5 | |
| 12 | Singrauli Madhya Pradesh, India | 54.6 | |
| 13 | Tonk Rajasthan, India | 53.1 | |
| 14 | Istanbul low-cost sensors Istanbul, Turkey | 51.7 | |
| 15 | Tirupati Andhra Pradesh, India | 50.6 | |
| 16 | Joda Odisha, India | 50.2 | |
| 17 | Gummidipundi Tamil Nadu, India | 46.9 | |
| 18 | Dubai low-cost sensors Dubai, United Arab Emirates | 46.8 | |
| 19 | Faisalabad low-cost sensors Punjab, Pakistan | 43.3 | |
| 20 | Changchun low-cost sensors Jilin, China | 43.0 | |
| 21 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 42.7 | |
| 22 | Vijayawada Andhra Pradesh, India | 42.5 | |
| 23 | Fort McMurray Alberta, Canada | 41.5 | |
| 24 | Greater Noida Uttar Pradesh, India | 41.3 | |
| 25 | Muzaffarnagar Uttar Pradesh, India | 41.0 | |
| 26 | Bhiwadi Rajasthan, India | 39.8 | |
| 27 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 37.9 | |
| 28 | Buxar Bihar, India | 37.6 | |
| 29 | Agra Uttar Pradesh, India | 37.2 | |
| 30 | Nalbāri Assam, India | 37.0 | |
| 31 | Gujranwala low-cost sensors Punjab, Pakistan | 36.7 | |
| 32 | Ankleshwar Gujarat, India | 36.0 | |
| 32 | Cholula Puebla, Mexico | 36.0 | |
| 34 | Ahmedabad Gujarat, India | 35.9 | |
| 35 | Harare low-cost sensors Harare, Zimbabwe | 35.8 | |
| 36 | Quezon City low-cost sensors National Capital Region, Philippines | 35.6 | |
| 37 | Hyderabad low-cost sensors Sindh, Pakistan | 35.3 | |
| 38 | Nagaon Assam, India | 34.9 | |
| 39 | Multan low-cost sensors Punjab, Pakistan | 34.8 | |
| 40 | Angul Odisha, India | 34.2 | |
| 41 | Rasapūdipalem Andhra Pradesh, India | 33.4 | |
| 42 | Karachi low-cost sensors Sindh, Pakistan | 33.3 | |
| 42 | Serilingampalle Telangana, India | 33.3 | |
| 44 | Ashaiman low-cost sensors Greater Accra, Ghana | 33.1 | |
| 45 | Lahore low-cost sensors Punjab, Pakistan | 32.2 | |
| 46 | Baddi Himachal Pradesh, India | 32.0 | |
| 47 | Bahawalpur low-cost sensors Punjab, Pakistan | 31.3 | |
| 47 | Anantapur Andhra Pradesh, India | 31.3 | |
| 49 | Gwalior Madhya Pradesh, India | 31.1 | |
| 50 | Morādābād Uttar Pradesh, India | 31.0 | |
| 50 | Quthbullapur Telangana, India | 31.0 | |
| 52 | Sialkot low-cost sensors Punjab, Pakistan | 30.5 | |
| 53 | Wadgaon Kolhati Maharashtra, India | 30.3 | |
| 54 | Ajmer Rajasthan, India | 30.0 | |
| 54 | San Salvador Tizatlalli México, Mexico | 30.0 | |
| 56 | Gandhinagar Gujarat, India | 29.7 | |
| 56 | Kamisu Ibaraki, Japan | 29.7 | |
| 58 | Hanumāngarh Rajasthan, India | 29.6 | |
| 59 | Hyderabad Telangana, India | 28.9 | |
| 59 | Bengaluru Karnataka, India | 28.9 | |
| 61 | Chennai Tamil Nadu, India | 28.8 | |
| 61 | Kota Rajasthan, India | 28.8 | |
| 63 | Narela Delhi, India | 28.7 | |
| 63 | Chāpra Bihar, India | 28.7 | |
| 65 | Minamata Kumamoto, Japan | 28.4 | |
| 65 | Lagos low-cost sensors Lagos, Nigeria | 28.4 | |
| 67 | Dhaulpur Rajasthan, India | 28.1 | |
| 68 | Mobara Chiba, Japan | 27.7 | |
| 69 | Durgapur West Bengal, India | 27.4 | |
| 69 | Honmachi Kumamoto, Japan | 27.4 | |
| 71 | Rājgīr Bihar, India | 27.3 | |
| 72 | Chiba Chiba, Japan | 27.1 | |
| 73 | Lucknow Uttar Pradesh, India | 27.0 | |
| 74 | Arāria Bihar, India | 26.9 | |
| 74 | Ōhara Chiba, Japan | 26.9 | |
| 76 | Tema low-cost sensors Greater Accra, Ghana | 26.8 | |
| 77 | Jaipur Rajasthan, India | 26.6 | |
| 77 | Yachiyo Chiba, Japan | 26.6 | |
| 79 | Rājsamand Rajasthan, India | 26.5 | |
| 79 | Delhi Delhi, India | 26.5 | |
| 79 | Uto Kumamoto, Japan | 26.5 | |
| 82 | Nagpur Maharashtra, India | 26.4 | |
| 82 | Karauli Rajasthan, India | 26.4 | |
| 84 | Kashima-shi Ibaraki, Japan | 26.2 | |
| 85 | Kolkata West Bengal, India | 26.0 | |
| 86 | Quetta low-cost sensors Balochistan, Pakistan | 25.9 | |
| 87 | Ichihara Chiba, Japan | 25.7 | |
| 87 | Noida Uttar Pradesh, India | 25.7 | |
| 89 | Begusarai Bihar, India | 25.6 | |
| 89 | Sakura Chiba, Japan | 25.6 | |
| 91 | Pratāpgarh Rajasthan, India | 25.3 | |
| 92 | Urayasu Chiba, Japan | 25.2 | |
| 93 | Narashino Chiba, Japan | 25.1 | |
| 94 | Chūru Rajasthan, India | 25.0 | |
| 94 | Izumi Kagoshima, Japan | 25.0 | |
| 96 | Ropar Punjab, India | 24.9 | |
| 96 | Taguig low-cost sensors National Capital Region, Philippines | 24.9 | |
| 98 | Hāpur Uttar Pradesh, India | 24.8 | |
| 98 | Yotsukaidō Chiba, Japan | 24.8 | |
| 100 | Mifune Kumamoto, Japan | 24.6 | |
| 100 | Anan Tokushima, Japan | 24.6 | |
| 102 | Matsudo Chiba, Japan | 24.5 | |
| 102 | Chigasaki Kanagawa, Japan | 24.5 | |
| 102 | Kamagaya Chiba, Japan | 24.5 | |
| 105 | Bhāgalpur Bihar, India | 24.4 | |
| 106 | Gotemba Shizuoka, Japan | 24.3 | |
| 106 | Sōsa Chiba, Japan | 24.3 | |
| 108 | Tsuchiura Ibaraki, Japan | 24.2 | |
| 109 | Vapi Gujarat, India | 24.1 | |
| 110 | Sōka Saitama, Japan | 24.0 | |
| 110 | Inzai Chiba, Japan | 24.0 | |
| 112 | Kurihama Kanagawa, Japan | 23.9 | |
| 112 | Kamojimachō-jōgejima Tokushima, Japan | 23.9 | |
| 112 | Kotō Kumamoto, Japan | 23.9 | |
| 115 | Naucalpan de Juárez México, Mexico | 23.8 | |
| 115 | Misato, Saitama Saitama, Japan | 23.8 | |
| 117 | Ōzu Kumamoto, Japan | 23.7 | |
| 117 | Yokoshiba Chiba, Japan | 23.7 | |
| 119 | Narita Chiba, Japan | 23.6 | |
| 119 | Ayase Kanagawa, Japan | 23.6 | |
| 121 | Najafgarh Delhi, India | 23.5 | |
| 121 | Ōtsuki Yamanashi, Japan | 23.5 | |
| 121 | Kashiwa Chiba, Japan | 23.5 | |
| 121 | Omigawa Chiba, Japan | 23.5 | |
| 121 | Kharghar Maharashtra, India | 23.5 | |
| 126 | Fujieda Shizuoka, Japan | 23.4 | |
| 127 | Addis Ababa Addis Ababa, Ethiopia | 23.3 | |
| 127 | Bhiwandi Maharashtra, India | 23.3 | |
| 129 | Inashiki Ibaraki, Japan | 23.2 | |
| 130 | Fujinomiya Shizuoka, Japan | 23.0 | |
| 130 | Beppu Oita, Japan | 23.0 | |
| 130 | Ajiki Chiba, Japan | 23.0 | |
| 130 | Izunokuni Shizuoka, Japan | 23.0 | |
| 134 | Sri Ganganagar Rajasthan, India | 22.9 | |
| 134 | Atami Shizuoka, Japan | 22.9 | |
| 136 | Noda Chiba, Japan | 22.8 | |
| 136 | Ōyanomachi-noboritate Kumamoto, Japan | 22.8 | |
| 136 | Naka Ibaraki, Japan | 22.8 | |
| 139 | Jalgaon Maharashtra, India | 22.7 | |
| 139 | Odawara Kanagawa, Japan | 22.7 | |
| 141 | Chittorgarh Rajasthan, India | 22.6 | |
| 141 | Kamakura Kanagawa, Japan | 22.6 | |
| 141 | Miura Kanagawa, Japan | 22.6 | |
| 144 | Yachimata Chiba, Japan | 22.5 | |
| 145 | Jhālāwār Rajasthan, India | 22.3 | |
| 145 | Mima Tokushima, Japan | 22.3 | |
| 147 | Nanded Maharashtra, India | 22.2 | |
| 147 | Vijayapura Karnataka, India | 22.2 | |
| 147 | Yokohama Kanagawa, Japan | 22.2 | |
| 150 | Yokosuka Kanagawa, Japan | 22.1 | |
| 150 | Kimitsu Chiba, Japan | 22.1 | |
| 152 | Dādri Uttar Pradesh, India | 22.0 | |
| 152 | Kisarazu Chiba, Japan | 22.0 | |
| 152 | Kariya Hyōgo, Japan | 22.0 | |
| 152 | Bend Oregon, United States | 22.0 | |
| 152 | Sodegaura Chiba, Japan | 22.0 | |
| 157 | Kumamoto Kumamoto, Japan | 21.9 | |
| 157 | Tōgane Chiba, Japan | 21.9 | |
| 157 | Puebla Puebla, Mexico | 21.9 | |
| 160 | Toride Ibaraki, Japan | 21.8 | |
| 161 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 21.6 | |
| 162 | Aioi Hyōgo, Japan | 21.5 | |
| 162 | Hokota Ibaraki, Japan | 21.5 | |
| 162 | Tatsuno Hyōgo, Japan | 21.5 | |
| 165 | Fujisawa Kanagawa, Japan | 21.3 | |
| 165 | Bizen Okayama, Japan | 21.3 | |
| 167 | Sendai Kagoshima, Japan | 21.2 | |
| 167 | Numazu Shizuoka, Japan | 21.2 | |
| 169 | Tahara Aichi, Japan | 21.1 | |
| 169 | Sawara Chiba, Japan | 21.1 | |
| 171 | Ono Hyōgo, Japan | 21.0 | |
| 171 | Katsuura Chiba, Japan | 21.0 | |
| 173 | Koshigaya Saitama, Japan | 20.9 | |
| 173 | Hondomachi-hondo Kumamoto, Japan | 20.9 | |
| 175 | Kalyān Maharashtra, India | 20.8 | |
| 175 | Ghāziābād Uttar Pradesh, India | 20.8 | |
| 177 | Prayagraj Uttar Pradesh, India | 20.7 | |
| 177 | Kakegawa Shizuoka, Japan | 20.7 | |
| 177 | Aya Nagar Delhi, India | 20.7 | |
| 180 | Mahād Maharashtra, India | 20.5 | |
| 180 | Ikaruga Hyōgo, Japan | 20.5 | |
| 180 | Hiratsuka Kanagawa, Japan | 20.5 | |
| 180 | Aso Kumamoto, Japan | 20.5 | |
| 180 | Bandō Ibaraki, Japan | 20.5 | |
| 185 | Bhilwara Rajasthan, India | 20.4 | |
| 185 | Ōita Oita, Japan | 20.4 | |
| 185 | Arao Kumamoto, Japan | 20.4 | |
| 188 | Jaisalmer Rajasthan, India | 20.3 | |
| 188 | Sandachō Hyōgo, Japan | 20.3 | |
| 188 | Obita Nagasaki, Japan | 20.3 | |
| 188 | Nagasaki Nagasaki, Japan | 20.3 | |
| 192 | Tokyo Tokyo, Japan | 20.2 | |
| 192 | Nakatsu Oita, Japan | 20.2 | |
| 192 | Pendleton Oregon, United States | 20.2 | |
| 195 | Saugor Madhya Pradesh, India | 20.0 | |
| 195 | Fuji Shizuoka, Japan | 20.0 | |
| 195 | Azamino Kanagawa, Japan | 20.0 | |
| 195 | Minamibōsō Chiba, Japan | 20.0 | |
| 199 | Cuttack Odisha, India | 19.9 | |
| 199 | Tateyama Chiba, Japan | 19.9 |
Top 200 of 2,246 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