SmogRank / History / July 22, 2026
Most polluted cities on July 22, 2026
2,166 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 120.0 | |
| 2 | Lilongwe low-cost sensors Central Region, Malawi | 91.9 | |
| 3 | Dushanbe Dushanbe, Tajikistan | 88.5 | |
| 4 | Karnāl Haryana, India | 85.4 | |
| 5 | Vereeniging low-cost sensors Gauteng, South Africa | 81.5 | |
| 6 | Redmond Oregon, United States | 69.6 | |
| 7 | Pendleton Oregon, United States | 62.7 | |
| 8 | Bānswāra Rajasthan, India | 60.3 | |
| 9 | Fort McMurray Alberta, Canada | 55.6 | |
| 10 | Kampala low-cost sensors Central Region, Uganda | 55.3 | |
| 11 | Blantyre low-cost sensors Southern Region, Malawi | 53.3 | |
| 11 | Yellowknife low-cost sensors Northwest Territories, Canada | 53.3 | |
| 13 | Kamloops British Columbia, Canada | 51.9 | |
| 14 | Faisalabad low-cost sensors Punjab, Pakistan | 50.5 | |
| 15 | Moses Lake Washington, United States | 50.3 | |
| 16 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 50.2 | |
| 17 | Karonga low-cost sensors Northern Region, Malawi | 49.1 | |
| 18 | Dera Māndi Delhi, India | 46.5 | |
| 19 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 46.4 | |
| 19 | Palembang low-cost sensors South Sumatra, Indonesia | 46.4 | |
| 21 | Nampa Idaho, United States | 45.5 | |
| 22 | Walla Walla Washington, United States | 44.7 | |
| 23 | Dhāruhera Haryana, India | 44.4 | |
| 24 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 43.5 | |
| 25 | Zomba low-cost sensors Southern Region, Malawi | 42.7 | |
| 26 | Ashaiman low-cost sensors Greater Accra, Ghana | 42.6 | |
| 27 | Chilliwack British Columbia, Canada | 42.2 | |
| 28 | Boise Idaho, United States | 42.1 | |
| 29 | Gummidipundi Tamil Nadu, India | 41.3 | |
| 30 | Bahadurgarh Haryana, India | 41.1 | |
| 31 | Bend Oregon, United States | 41.0 | |
| 32 | Vernon British Columbia, Canada | 40.8 | |
| 33 | Grande Prairie Alberta, Canada | 40.4 | |
| 34 | Nalbāri Assam, India | 40.2 | |
| 35 | Mzuzu low-cost sensors Northern Region, Malawi | 39.6 | |
| 36 | Kelowna British Columbia, Canada | 39.4 | |
| 37 | Chittoor Andhra Pradesh, India | 39.3 | |
| 38 | Lahore low-cost sensors Punjab, Pakistan | 39.2 | |
| 39 | Gurugram Haryana, India | 39.1 | |
| 40 | Prince Albert Saskatchewan, Canada | 38.8 | |
| 41 | Edmonton Alberta, Canada | 38.6 | |
| 42 | Changchun low-cost sensors Jilin, China | 38.0 | |
| 43 | Dhaulpur Rajasthan, India | 37.7 | |
| 44 | St. Albert Alberta, Canada | 37.6 | |
| 45 | Shido Kagawa, Japan | 36.9 | |
| 46 | Jharia Jharkhand, India | 36.8 | |
| 46 | Bizen Okayama, Japan | 36.8 | |
| 48 | Chāpra Bihar, India | 36.7 | |
| 49 | Kariya Hyōgo, Japan | 36.4 | |
| 50 | Monroe low-cost sensors Washington, United States | 36.3 | |
| 50 | Tatsuno Hyōgo, Japan | 36.3 | |
| 52 | Aioi Hyōgo, Japan | 36.2 | |
| 53 | Dubai low-cost sensors Dubai, United Arab Emirates | 36.1 | |
| 53 | Yamuna Nagar Haryana, India | 36.1 | |
| 55 | Tirupati Andhra Pradesh, India | 35.7 | |
| 56 | Ono Hyōgo, Japan | 35.0 | |
| 57 | Anantapur Andhra Pradesh, India | 34.6 | |
| 58 | Kakogawachō-honmachi Hyōgo, Japan | 34.4 | |
| 58 | Sherwood Park Alberta, Canada | 34.4 | |
| 60 | Nagaon Assam, India | 34.2 | |
| 61 | Vijayawada Andhra Pradesh, India | 34.1 | |
| 62 | Tri-Cities Washington, United States | 33.9 | |
| 63 | Hermiston Oregon, United States | 33.4 | |
| 64 | Nishiwaki Hyōgo, Japan | 33.2 | |
| 64 | Lagos low-cost sensors Lagos, Nigeria | 33.2 | |
| 64 | North Creek low-cost sensors Washington, United States | 33.2 | |
| 67 | Winnipeg low-cost sensors Manitoba, Canada | 33.1 | |
| 68 | Rourkela Odisha, India | 33.0 | |
| 69 | Prince George British Columbia, Canada | 32.9 | |
| 70 | Bhiwadi Rajasthan, India | 32.7 | |
| 71 | Ikaruga Hyōgo, Japan | 32.6 | |
| 72 | Tsuyama Okayama, Japan | 32.5 | |
| 72 | Union Hill-Novelty Hill low-cost sensors Washington, United States | 32.5 | |
| 74 | Higashinozoe Hyōgo, Japan | 32.4 | |
| 75 | Ubud low-cost sensors Bali, Indonesia | 32.1 | |
| 75 | Tamano Okayama, Japan | 32.1 | |
| 77 | Zentsujichó Kagawa, Japan | 31.9 | |
| 78 | Quezon City low-cost sensors National Capital Region, Philippines | 31.8 | |
| 78 | Lewiston Idaho, United States | 31.8 | |
| 80 | Hiragi Kagawa, Japan | 31.6 | |
| 81 | Gujranwala low-cost sensors Punjab, Pakistan | 31.5 | |
| 81 | Okayama Okayama, Japan | 31.5 | |
| 83 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 31.4 | |
| 83 | Calexico California, United States | 31.4 | |
| 85 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 31.2 | |
| 86 | Takinomiya Kagawa, Japan | 31.1 | |
| 86 | Takamatsu Kagawa, Japan | 31.1 | |
| 88 | Faridabad Haryana, India | 31.0 | |
| 88 | Sandachō Hyōgo, Japan | 31.0 | |
| 88 | Mima Tokushima, Japan | 31.0 | |
| 91 | Wenatchee Washington, United States | 30.7 | |
| 92 | Kalyān Maharashtra, India | 30.3 | |
| 92 | Kameoka Kyoto, Japan | 30.3 | |
| 94 | Ahmedabad Gujarat, India | 30.2 | |
| 95 | Calgary Alberta, Canada | 30.1 | |
| 96 | Jounieh low-cost sensors Mount Lebanon, Lebanon | 30.0 | |
| 96 | Nobeoka Miyazaki, Japan | 30.0 | |
| 98 | Multan low-cost sensors Punjab, Pakistan | 29.9 | |
| 98 | Nagahama Shiga, Japan | 29.9 | |
| 98 | Ikedachō Tokushima, Japan | 29.9 | |
| 98 | Himeji Hyōgo, Japan | 29.9 | |
| 102 | Akashi Hyōgo, Japan | 29.8 | |
| 103 | Fort St. John British Columbia, Canada | 29.7 | |
| 104 | Wadgaon Kolhati Maharashtra, India | 29.6 | |
| 105 | Sumoto Hyōgo, Japan | 29.5 | |
| 106 | Takarazuka Hyōgo, Japan | 29.4 | |
| 106 | Higashihiroshima Hiroshima, Japan | 29.4 | |
| 108 | Istanbul low-cost sensors Istanbul, Turkey | 29.3 | |
| 108 | Kamisu Ibaraki, Japan | 29.3 | |
| 110 | Mie Oita, Japan | 29.2 | |
| 110 | Yono Osaka, Japan | 29.2 | |
| 112 | Takahashi Okayama, Japan | 29.1 | |
| 112 | Kurashiki Okayama, Japan | 29.1 | |
| 112 | Kirkland low-cost sensors Washington, United States | 29.1 | |
| 115 | Takatsuki Osaka, Japan | 29.0 | |
| 115 | Ayabe Kyoto, Japan | 29.0 | |
| 115 | Tsuchiura Ibaraki, Japan | 29.0 | |
| 118 | Marugame Kagawa, Japan | 28.8 | |
| 118 | Ciudad General Escobedo Nuevo León, Mexico | 28.8 | |
| 120 | Gamagōri Aichi, Japan | 28.7 | |
| 120 | Noida Uttar Pradesh, India | 28.7 | |
| 122 | Kyoto Kyoto, Japan | 28.5 | |
| 122 | Hikone Shiga, Japan | 28.5 | |
| 122 | Spokane Washington, United States | 28.5 | |
| 125 | Kamojimachō-jōgejima Tokushima, Japan | 28.4 | |
| 125 | Fukuchiyama Kyoto, Japan | 28.4 | |
| 127 | Rasapūdipalem Andhra Pradesh, India | 28.3 | |
| 128 | Indore Madhya Pradesh, India | 28.2 | |
| 128 | Dūngarpur Rajasthan, India | 28.2 | |
| 128 | Ueno-ebisumachi Mie, Japan | 28.2 | |
| 128 | Takayama Gifu, Japan | 28.2 | |
| 128 | Hyūga Miyazaki, Japan | 28.2 | |
| 133 | Takanabe Miyazaki, Japan | 28.0 | |
| 133 | Kōtari Kyoto, Japan | 28.0 | |
| 133 | Tuxtla Chiapas, Mexico | 28.0 | |
| 133 | Rangiora Canterbury, New Zealand | 28.0 | |
| 133 | Inabe Mie, Japan | 28.0 | |
| 133 | Byasanagar Odisha, India | 28.0 | |
| 139 | Sonīpat Haryana, India | 27.9 | |
| 139 | Shinshiro Aichi, Japan | 27.9 | |
| 139 | Abbotsford British Columbia, Canada | 27.9 | |
| 142 | Parque Industrial Ciudad Mitras Nuevo León, Mexico | 27.8 | |
| 143 | Beirut low-cost sensors Beirut, Lebanon | 27.7 | |
| 144 | Gion Hiroshima, Japan | 27.6 | |
| 145 | Suzuka Mie, Japan | 27.4 | |
| 145 | Ise Mie, Japan | 27.4 | |
| 147 | Kitahama Shiga, Japan | 27.3 | |
| 147 | Kashima-shi Ibaraki, Japan | 27.3 | |
| 147 | Hekinan Aichi, Japan | 27.3 | |
| 147 | Sunnyside Washington, United States | 27.3 | |
| 151 | Shin’ichi Hiroshima, Japan | 27.2 | |
| 151 | Kobayashi Miyazaki, Japan | 27.2 | |
| 153 | Narutochō-mitsuishi Tokushima, Japan | 27.1 | |
| 153 | Fukuyama Hiroshima, Japan | 27.1 | |
| 153 | Pullman Washington, United States | 27.1 | |
| 153 | Takashima Shiga, Japan | 27.1 | |
| 153 | Iga Mie, Japan | 27.1 | |
| 158 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 27.0 | |
| 158 | Iloilo low-cost sensors Western Visayas, Philippines | 27.0 | |
| 158 | Tokoname Aichi, Japan | 27.0 | |
| 158 | Matsusaka Mie, Japan | 27.0 | |
| 162 | Youkaichi Shiga, Japan | 26.9 | |
| 162 | Sōja Okayama, Japan | 26.9 | |
| 164 | Toyama Toyama, Japan | 26.8 | |
| 164 | Hachiōji Tokyo, Japan | 26.8 | |
| 166 | Kizugawa Kyoto, Japan | 26.7 | |
| 167 | Owariasahi Aichi, Japan | 26.6 | |
| 168 | Tsu Mie, Japan | 26.5 | |
| 168 | Toyonaka Osaka, Japan | 26.5 | |
| 170 | Ikoma Nara, Japan | 26.4 | |
| 171 | Toyota Aichi, Japan | 26.3 | |
| 171 | San Luis Potosí San Luis Potosí, Mexico | 26.3 | |
| 171 | Nisshin Aichi, Japan | 26.3 | |
| 174 | Sidon low-cost sensors South Governorate, Lebanon | 26.2 | |
| 174 | Bahawalpur low-cost sensors Punjab, Pakistan | 26.2 | |
| 174 | Yae Hiroshima, Japan | 26.2 | |
| 174 | Toyohashi Aichi, Japan | 26.2 | |
| 174 | Kusatsu Shiga, Japan | 26.2 | |
| 174 | Kan’onjichō Kagawa, Japan | 26.2 | |
| 174 | Yoshinogawa Tokushima, Japan | 26.2 | |
| 181 | Karachi low-cost sensors Sindh, Pakistan | 26.1 | |
| 181 | Iwade Wakayama, Japan | 26.1 | |
| 183 | Okazaki Aichi, Japan | 26.0 | |
| 184 | Kobe Hyōgo, Japan | 25.9 | |
| 184 | Inuyama Aichi, Japan | 25.9 | |
| 184 | The Dalles Oregon, United States | 25.9 | |
| 187 | Badlapur Maharashtra, India | 25.8 | |
| 187 | Ambāla Haryana, India | 25.8 | |
| 187 | Toba Mie, Japan | 25.8 | |
| 187 | Nabari Mie, Japan | 25.8 | |
| 187 | Kasaoka Okayama, Japan | 25.8 | |
| 187 | Nantan Kyoto, Japan | 25.8 | |
| 193 | Kariya Aichi, Japan | 25.7 | |
| 193 | Gotemba Shizuoka, Japan | 25.7 | |
| 195 | Saikū Mie, Japan | 25.5 | |
| 195 | Fukuroi Shizuoka, Japan | 25.5 | |
| 195 | Beppu Oita, Japan | 25.5 | |
| 195 | Jōyō Kyoto, Japan | 25.5 | |
| 199 | Kuwana Mie, Japan | 25.4 | |
| 199 | Shikokuchūō Ehime, Japan | 25.4 |
Top 200 of 2,166 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