SmogRank / History / week of June 30, 2025
Most polluted cities, week of June 30, 2025
2,152 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 | Sri Ganganagar Rajasthan, India | 102.7 | |
| 2 | Bhelai Chhattisgarh, India | 71.1 | |
| 3 | Dushanbe Dushanbe, Tajikistan | 70.2 | |
| 4 | Faisalabad low-cost sensors Punjab, Pakistan | 58.4 | |
| 5 | Gujranwala low-cost sensors Punjab, Pakistan | 54.8 | |
| 6 | Lahore low-cost sensors Punjab, Pakistan | 53.3 | |
| 7 | Dubai low-cost sensors Dubai, United Arab Emirates | 53.2 | |
| 8 | Najafgarh Delhi, India | 53.0 | |
| 9 | Gummidipundi Tamil Nadu, India | 49.8 | |
| 10 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 47.2 | |
| 11 | Sialkot low-cost sensors Punjab, Pakistan | 44.0 | |
| 12 | Bhiwadi Rajasthan, India | 41.9 | |
| 13 | Badger Alaska, United States | 41.6 | |
| 14 | Hājīpur Bihar, India | 40.9 | |
| 15 | Cholula Puebla, Mexico | 40.0 | |
| 16 | Ikedachō Tokushima, Japan | 39.0 | |
| 17 | Nagaon Assam, India | 38.3 | |
| 17 | Mima Tokushima, Japan | 38.3 | |
| 19 | Saiki Oita, Japan | 38.0 | |
| 20 | Anan Tokushima, Japan | 37.9 | |
| 21 | Mie Oita, Japan | 37.4 | |
| 22 | Rawalpindi low-cost sensors Punjab, Pakistan | 37.3 | |
| 23 | Hiragi Kagawa, Japan | 37.2 | |
| 24 | Multan low-cost sensors Punjab, Pakistan | 36.9 | |
| 24 | Ōita Oita, Japan | 36.9 | |
| 26 | Zentsujichó Kagawa, Japan | 36.0 | |
| 27 | Aso Kumamoto, Japan | 35.6 | |
| 28 | Kikuchi Kumamoto, Japan | 35.4 | |
| 28 | Noida Uttar Pradesh, India | 35.4 | |
| 30 | Narela Delhi, India | 35.3 | |
| 30 | Sandachō Hyōgo, Japan | 35.3 | |
| 30 | Hita Oita, Japan | 35.3 | |
| 33 | Ōzu Kumamoto, Japan | 35.2 | |
| 34 | Onomichi Hiroshima, Japan | 35.1 | |
| 34 | Shikokuchūō Ehime, Japan | 35.1 | |
| 36 | Marugame Kagawa, Japan | 35.0 | |
| 37 | Ono Hyōgo, Japan | 34.7 | |
| 38 | Karauli Rajasthan, India | 34.6 | |
| 39 | Kashiwara Nara, Japan | 34.2 | |
| 39 | Vapi Gujarat, India | 34.2 | |
| 41 | Hyderabad Telangana, India | 34.1 | |
| 42 | Kobayashi Miyazaki, Japan | 34.0 | |
| 43 | Yamaga Kumamoto, Japan | 33.6 | |
| 43 | Ikoma Nara, Japan | 33.6 | |
| 43 | Iga Mie, Japan | 33.6 | |
| 46 | Minamata Kumamoto, Japan | 33.5 | |
| 47 | Bizen Okayama, Japan | 33.4 | |
| 47 | Tatsuno Hyōgo, Japan | 33.4 | |
| 49 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 33.3 | |
| 49 | Ghāziābād Uttar Pradesh, India | 33.3 | |
| 49 | Gion Hiroshima, Japan | 33.3 | |
| 49 | Higashihiroshima Hiroshima, Japan | 33.3 | |
| 53 | Vijayawada Andhra Pradesh, India | 33.2 | |
| 53 | Muzaffarnagar Uttar Pradesh, India | 33.2 | |
| 53 | Honmachi Kumamoto, Japan | 33.2 | |
| 56 | Ueno-ebisumachi Mie, Japan | 33.1 | |
| 56 | Shin’ichi Hiroshima, Japan | 33.1 | |
| 56 | Kan’onjichō Kagawa, Japan | 33.1 | |
| 59 | Tsuyama Okayama, Japan | 33.0 | |
| 59 | Mifune Kumamoto, Japan | 33.0 | |
| 61 | Niihama Ehime, Japan | 32.9 | |
| 61 | Kashihara-shi Nara, Japan | 32.9 | |
| 63 | Higashinozoe Hyōgo, Japan | 32.7 | |
| 64 | Tamano Okayama, Japan | 32.6 | |
| 64 | Kameoka Kyoto, Japan | 32.6 | |
| 66 | Ajmer Rajasthan, India | 32.5 | |
| 66 | Takarazuka Hyōgo, Japan | 32.5 | |
| 66 | Hitoyoshi Kumamoto, Japan | 32.5 | |
| 69 | Youkaichi Shiga, Japan | 32.4 | |
| 69 | Kasaoka Okayama, Japan | 32.4 | |
| 71 | Okayama Okayama, Japan | 32.2 | |
| 71 | Kotō Kumamoto, Japan | 32.2 | |
| 73 | Kakogawachō-honmachi Hyōgo, Japan | 32.0 | |
| 74 | Nara-shi Nara, Japan | 31.9 | |
| 75 | Ayabe Kyoto, Japan | 31.8 | |
| 76 | Kitahama Shiga, Japan | 31.7 | |
| 76 | Jōyō Kyoto, Japan | 31.7 | |
| 76 | Yoshinogawa Tokushima, Japan | 31.7 | |
| 76 | Aya Nagar Delhi, India | 31.7 | |
| 80 | Yae Hiroshima, Japan | 31.6 | |
| 80 | Nagahama Shiga, Japan | 31.6 | |
| 82 | Aioi Hyōgo, Japan | 31.5 | |
| 82 | Nantan Kyoto, Japan | 31.5 | |
| 84 | Tsurusaki Oita, Japan | 31.4 | |
| 84 | Shinagawa Ehime, Japan | 31.4 | |
| 84 | Takashima Shiga, Japan | 31.4 | |
| 87 | Kumamoto Kumamoto, Japan | 31.3 | |
| 87 | Fukuyama Hiroshima, Japan | 31.3 | |
| 89 | Tanushimarumachi-toyoki Fukuoka, Japan | 31.2 | |
| 90 | Kōtari Kyoto, Japan | 31.1 | |
| 91 | Kizugawa Kyoto, Japan | 31.0 | |
| 92 | Nakatsu Oita, Japan | 30.8 | |
| 92 | Imabari Ehime, Japan | 30.8 | |
| 94 | Kawachi-Nagano Osaka, Japan | 30.7 | |
| 95 | Saijō Ehime, Japan | 30.6 | |
| 96 | Kure Hiroshima, Japan | 30.5 | |
| 96 | Beppu Oita, Japan | 30.5 | |
| 96 | Fairbanks Alaska, United States | 30.5 | |
| 96 | Greater Noida Uttar Pradesh, India | 30.5 | |
| 100 | Dausa Rajasthan, India | 30.4 | |
| 100 | Takinomiya Kagawa, Japan | 30.4 | |
| 102 | Takahashi Okayama, Japan | 30.3 | |
| 102 | Nabari Mie, Japan | 30.3 | |
| 102 | Maizuru Kyoto, Japan | 30.3 | |
| 102 | Kyoto Kyoto, Japan | 30.3 | |
| 106 | Nalbāri Assam, India | 30.2 | |
| 106 | Yawata Kyoto, Japan | 30.2 | |
| 106 | Baddi Himachal Pradesh, India | 30.2 | |
| 109 | Rasapūdipalem Andhra Pradesh, India | 30.1 | |
| 110 | Sōja Okayama, Japan | 30.0 | |
| 110 | Kariya Hyōgo, Japan | 30.0 | |
| 112 | Fukuchiyama Kyoto, Japan | 29.9 | |
| 113 | Uekimachi-mōno Kumamoto, Japan | 29.8 | |
| 113 | Kurashiki Okayama, Japan | 29.8 | |
| 113 | Hiroshima Hiroshima, Japan | 29.8 | |
| 116 | Toyonaka Osaka, Japan | 29.7 | |
| 116 | Takamatsu Kagawa, Japan | 29.7 | |
| 116 | Ukiha Fukuoka, Japan | 29.7 | |
| 119 | Uji Kyoto, Japan | 29.6 | |
| 119 | Mihara Hiroshima, Japan | 29.6 | |
| 119 | Sugai Kyoto, Japan | 29.6 | |
| 122 | Ikaruga Hyōgo, Japan | 29.5 | |
| 123 | Jaipur Rajasthan, India | 29.4 | |
| 123 | Izumi Osaka, Japan | 29.4 | |
| 125 | Akashi Hyōgo, Japan | 29.2 | |
| 125 | Niimi Okayama, Japan | 29.2 | |
| 127 | Sabae Fukui, Japan | 29.1 | |
| 127 | Matsuyama Ehime, Japan | 29.1 | |
| 129 | Tenri Nara, Japan | 29.0 | |
| 129 | Kusatsu Shiga, Japan | 29.0 | |
| 131 | Delhi Delhi, India | 28.8 | |
| 132 | Kamojimachō-jōgejima Tokushima, Japan | 28.6 | |
| 133 | Takehara Hiroshima, Japan | 28.5 | |
| 134 | Meerut Uttar Pradesh, India | 28.3 | |
| 134 | Mangaluru Karnataka, India | 28.3 | |
| 136 | Rourkela Odisha, India | 28.2 | |
| 136 | Ōtsu Shiga, Japan | 28.2 | |
| 136 | Obama Fukui, Japan | 28.2 | |
| 136 | Hirakata Osaka, Japan | 28.2 | |
| 136 | Yono Osaka, Japan | 28.2 | |
| 141 | Pasadena low-cost sensors California, United States | 28.1 | |
| 141 | Kōka Shiga, Japan | 28.1 | |
| 141 | Yame Fukuoka, Japan | 28.1 | |
| 144 | Yao Osaka, Japan | 28.0 | |
| 144 | Uto Kumamoto, Japan | 28.0 | |
| 144 | Tondabayashichō Osaka, Japan | 28.0 | |
| 144 | Nobeoka Miyazaki, Japan | 28.0 | |
| 144 | Nishiwaki Hyōgo, Japan | 28.0 | |
| 144 | Matsusaka Mie, Japan | 28.0 | |
| 144 | Yufu Oita, Japan | 28.0 | |
| 151 | Nishinomiya Hyōgo, Japan | 27.9 | |
| 151 | Fukui-shi Fukui, Japan | 27.9 | |
| 153 | Tamana Kumamoto, Japan | 27.8 | |
| 153 | Shido Kagawa, Japan | 27.8 | |
| 153 | Osaka Osaka, Japan | 27.8 | |
| 153 | Himeji Hyōgo, Japan | 27.8 | |
| 153 | Higashiosaka Osaka, Japan | 27.8 | |
| 153 | Inabe Mie, Japan | 27.8 | |
| 153 | Habikino Osaka, Japan | 27.8 | |
| 153 | Sayama Osaka, Japan | 27.8 | |
| 161 | Sakai Osaka, Japan | 27.7 | |
| 162 | Quetta low-cost sensors Balochistan, Pakistan | 27.6 | |
| 162 | Iwade Wakayama, Japan | 27.6 | |
| 162 | Hōryūji Nara, Japan | 27.6 | |
| 165 | Miyazu Kyoto, Japan | 27.5 | |
| 166 | Uwajima Ehime, Japan | 27.3 | |
| 167 | Ono Fukui, Japan | 27.2 | |
| 167 | Hyūga Miyazaki, Japan | 27.2 | |
| 169 | Dādri Uttar Pradesh, India | 27.1 | |
| 169 | Miyoshi Hiroshima, Japan | 27.1 | |
| 169 | Yawatahama Ehime, Japan | 27.1 | |
| 172 | Uozu Toyama, Japan | 26.9 | |
| 173 | Karachi low-cost sensors Sindh, Pakistan | 26.7 | |
| 173 | Kishiwada Osaka, Japan | 26.7 | |
| 175 | Tottori-shi Tottori, Japan | 26.5 | |
| 175 | Iwakuni Yamaguchi, Japan | 26.5 | |
| 175 | Ōmihachiman Shiga, Japan | 26.5 | |
| 175 | Amagasaki Hyōgo, Japan | 26.5 | |
| 179 | Ōmuta Fukuoka, Japan | 26.3 | |
| 179 | Aki Kochi, Japan | 26.3 | |
| 179 | Iyo Ehime, Japan | 26.3 | |
| 182 | Jalandhar Punjab, India | 26.1 | |
| 182 | Shingū Wakayama, Japan | 26.1 | |
| 184 | Thāne Maharashtra, India | 26.0 | |
| 184 | Tokushima Tokushima, Japan | 26.0 | |
| 184 | Asakuchi Okayama, Japan | 26.0 | |
| 187 | Kinokawa Wakayama, Japan | 25.9 | |
| 188 | Ōtake Hiroshima, Japan | 25.8 | |
| 189 | La Providencia Siglo XXI Hidalgo, Mexico | 25.7 | |
| 190 | Kainan Wakayama, Japan | 25.6 | |
| 190 | Nagai Yamagata, Japan | 25.6 | |
| 190 | Tuxtla Chiapas, Mexico | 25.6 | |
| 193 | Arida Wakayama, Japan | 25.5 | |
| 194 | Kochi Kochi, Japan | 25.4 | |
| 195 | Ino Kochi, Japan | 25.3 | |
| 196 | Hyderabad low-cost sensors Sindh, Pakistan | 25.2 | |
| 196 | Owase Mie, Japan | 25.2 | |
| 198 | Rānīganj West Bengal, India | 25.1 | |
| 198 | Tonami Toyama, Japan | 25.1 | |
| 198 | Yachiyo Chiba, Japan | 25.1 |
Top 200 of 2,152 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