SmogRank / History / July 23, 2026
Most polluted cities on July 23, 2026
2,279 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Bānswāra Rajasthan, India | 87.9 | |
| 2 | Kamloops British Columbia, Canada | 85.1 | |
| 3 | Kelowna British Columbia, Canada | 82.4 | |
| 4 | Lilongwe low-cost sensors Central Region, Malawi | 80.8 | |
| 5 | Redmond Oregon, United States | 79.3 | |
| 6 | Vereeniging low-cost sensors Gauteng, South Africa | 76.7 | |
| 7 | Calgary Alberta, Canada | 74.7 | |
| 8 | Vernon British Columbia, Canada | 72.0 | |
| 9 | Airdrie Alberta, Canada | 65.1 | |
| 10 | Multan low-cost sensors Punjab, Pakistan | 58.2 | |
| 11 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 56.8 | |
| 12 | Blantyre low-cost sensors Southern Region, Malawi | 55.4 | |
| 13 | Gummidipundi Tamil Nadu, India | 53.8 | |
| 14 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 52.9 | |
| 15 | Kampala low-cost sensors Central Region, Uganda | 52.5 | |
| 16 | Faisalabad low-cost sensors Punjab, Pakistan | 52.2 | |
| 17 | Red Deer Alberta, Canada | 51.7 | |
| 18 | Ashaiman low-cost sensors Greater Accra, Ghana | 50.1 | |
| 19 | Lethbridge Alberta, Canada | 47.8 | |
| 20 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 47.4 | |
| 21 | Karonga low-cost sensors Northern Region, Malawi | 46.9 | |
| 22 | Dushanbe Dushanbe, Tajikistan | 46.3 | |
| 23 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 45.4 | |
| 23 | Siwān Bihar, India | 45.4 | |
| 25 | Dhāruhera Haryana, India | 44.4 | |
| 26 | Quetta low-cost sensors Balochistan, Pakistan | 43.5 | |
| 27 | Karnāl Haryana, India | 43.4 | |
| 28 | Palembang low-cost sensors South Sumatra, Indonesia | 41.5 | |
| 29 | Bahadurgarh Haryana, India | 41.2 | |
| 30 | Byasanagar Odisha, India | 40.8 | |
| 31 | Zomba low-cost sensors Southern Region, Malawi | 40.5 | |
| 32 | Bend Oregon, United States | 40.3 | |
| 33 | Bahawalpur low-cost sensors Punjab, Pakistan | 40.0 | |
| 33 | Cranbrook British Columbia, Canada | 40.0 | |
| 35 | Dera Māndi Delhi, India | 39.7 | |
| 36 | Nalbāri Assam, India | 38.9 | |
| 37 | Yamuna Nagar Haryana, India | 38.8 | |
| 38 | Mzuzu low-cost sensors Northern Region, Malawi | 38.6 | |
| 38 | Anantapur Andhra Pradesh, India | 38.6 | |
| 40 | Chittoor Andhra Pradesh, India | 38.4 | |
| 41 | Winnipeg low-cost sensors Manitoba, Canada | 38.3 | |
| 42 | Tirupati Andhra Pradesh, India | 38.2 | |
| 43 | Wenatchee Washington, United States | 37.3 | |
| 44 | Gurugram Haryana, India | 37.1 | |
| 45 | Pullman Washington, United States | 36.4 | |
| 46 | Rourkela Odisha, India | 36.1 | |
| 47 | Walla Walla Washington, United States | 35.0 | |
| 48 | Jharia Jharkhand, India | 34.9 | |
| 48 | Aioi Hyōgo, Japan | 34.9 | |
| 48 | Pendleton Oregon, United States | 34.9 | |
| 51 | Faridabad Haryana, India | 34.6 | |
| 52 | Sumoto Hyōgo, Japan | 34.2 | |
| 52 | Kariya Hyōgo, Japan | 34.2 | |
| 54 | Dubai low-cost sensors Dubai, United Arab Emirates | 33.8 | |
| 55 | Medicine Hat Alberta, Canada | 33.7 | |
| 56 | Iwade Wakayama, Japan | 33.5 | |
| 57 | Bhiwāni Haryana, India | 33.4 | |
| 57 | Shingū Wakayama, Japan | 33.4 | |
| 57 | Kainan Wakayama, Japan | 33.4 | |
| 57 | Lewiston Idaho, United States | 33.4 | |
| 61 | Bizen Okayama, Japan | 33.3 | |
| 62 | Dhaulpur Rajasthan, India | 33.2 | |
| 63 | Vijayawada Andhra Pradesh, India | 33.0 | |
| 64 | Nagaon Assam, India | 32.6 | |
| 64 | Fukuroi Shizuoka, Japan | 32.6 | |
| 66 | Spokane Washington, United States | 32.4 | |
| 67 | Mérida Yucatán, Mexico | 32.2 | |
| 68 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 32.1 | |
| 69 | Gotemba Shizuoka, Japan | 31.9 | |
| 70 | Tatsuno Hyōgo, Japan | 31.8 | |
| 71 | Minato Wakayama, Japan | 31.7 | |
| 72 | Lagos low-cost sensors Lagos, Nigeria | 31.6 | |
| 72 | Moscow Idaho, United States | 31.6 | |
| 74 | Tuxtla Chiapas, Mexico | 31.4 | |
| 75 | Kishiwada Osaka, Japan | 31.3 | |
| 75 | Izumisano Osaka, Japan | 31.3 | |
| 77 | Ikaruga Hyōgo, Japan | 31.2 | |
| 77 | Nampa Idaho, United States | 31.2 | |
| 79 | Hashimoto Wakayama, Japan | 31.1 | |
| 80 | Sidon low-cost sensors South Governorate, Lebanon | 30.6 | |
| 80 | Kadapa Andhra Pradesh, India | 30.6 | |
| 80 | Fort McMurray Alberta, Canada | 30.6 | |
| 83 | Izumi Osaka, Japan | 30.5 | |
| 84 | Jounieh low-cost sensors Mount Lebanon, Lebanon | 30.3 | |
| 85 | Bhiwadi Rajasthan, India | 30.2 | |
| 86 | Beirut low-cost sensors Beirut, Lebanon | 30.1 | |
| 86 | Wadgaon Kolhati Maharashtra, India | 30.1 | |
| 88 | Odawara Kanagawa, Japan | 30.0 | |
| 88 | Kashiwara Nara, Japan | 30.0 | |
| 88 | Sennan Osaka, Japan | 30.0 | |
| 91 | Minami-Alps Yamanashi, Japan | 29.9 | |
| 92 | Boise Idaho, United States | 29.8 | |
| 93 | Quezon City low-cost sensors National Capital Region, Philippines | 29.6 | |
| 94 | Karachi low-cost sensors Sindh, Pakistan | 29.3 | |
| 95 | Kanpur Uttar Pradesh, India | 29.2 | |
| 96 | Sakai Osaka, Japan | 29.0 | |
| 97 | Takanabe Miyazaki, Japan | 28.9 | |
| 98 | Chigasaki Kanagawa, Japan | 28.8 | |
| 98 | Kumano Mie, Japan | 28.8 | |
| 100 | Shima Mie, Japan | 28.7 | |
| 100 | Ikedachō Tokushima, Japan | 28.7 | |
| 100 | Tulare low-cost sensors California, United States | 28.7 | |
| 103 | Hadano Kanagawa, Japan | 28.5 | |
| 104 | Toba Mie, Japan | 28.4 | |
| 104 | Kofu Yamanashi, Japan | 28.4 | |
| 104 | Timaru Canterbury, New Zealand | 28.4 | |
| 104 | Regina Saskatchewan, Canada | 28.4 | |
| 108 | Kashihara-shi Nara, Japan | 28.3 | |
| 109 | Tanabe Wakayama, Japan | 28.2 | |
| 109 | Isehara Kanagawa, Japan | 28.2 | |
| 109 | Fujinomiya Shizuoka, Japan | 28.2 | |
| 109 | Sayama Osaka, Japan | 28.2 | |
| 113 | Kobe Hyōgo, Japan | 28.1 | |
| 113 | Ise Mie, Japan | 28.1 | |
| 113 | Atami Shizuoka, Japan | 28.1 | |
| 116 | Kamojimachō-jōgejima Tokushima, Japan | 28.0 | |
| 116 | Yoshinogawa Tokushima, Japan | 28.0 | |
| 118 | Kalyān Maharashtra, India | 27.9 | |
| 118 | Ciudad General Escobedo Nuevo León, Mexico | 27.9 | |
| 120 | Tondabayashichō Osaka, Japan | 27.7 | |
| 120 | Higashinozoe Hyōgo, Japan | 27.7 | |
| 120 | Nobeoka Miyazaki, Japan | 27.7 | |
| 123 | Tokushima Tokushima, Japan | 27.6 | |
| 124 | Akashi Hyōgo, Japan | 27.5 | |
| 124 | Kakegawa Shizuoka, Japan | 27.5 | |
| 126 | Żabbar Ħaż-Żabbar, Malta | 27.4 | |
| 127 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 27.3 | |
| 127 | Jhunjhunūn Rajasthan, India | 27.3 | |
| 127 | Valletta Valletta, Malta | 27.3 | |
| 127 | Spokane Valley Washington, United States | 27.3 | |
| 131 | Tonk Rajasthan, India | 27.1 | |
| 132 | Rangiora Canterbury, New Zealand | 27.0 | |
| 132 | Parque Industrial Ciudad Mitras Nuevo León, Mexico | 27.0 | |
| 134 | Gwalior Madhya Pradesh, India | 26.8 | |
| 135 | Arāria Bihar, India | 26.7 | |
| 135 | Anan Tokushima, Japan | 26.7 | |
| 137 | Aihara Kanagawa, Japan | 26.6 | |
| 138 | Antananarivo Analamanga, Madagascar | 26.5 | |
| 139 | Prince Albert Saskatchewan, Canada | 26.3 | |
| 140 | Shimoda Shizuoka, Japan | 26.2 | |
| 140 | Swift Current Saskatchewan, Canada | 26.2 | |
| 140 | Izunokuni Shizuoka, Japan | 26.2 | |
| 143 | Hiratsuka Kanagawa, Japan | 26.1 | |
| 143 | Gobō Wakayama, Japan | 26.1 | |
| 143 | Changchun low-cost sensors Jilin, China | 26.1 | |
| 146 | Lucknow Uttar Pradesh, India | 26.0 | |
| 146 | Owase Mie, Japan | 26.0 | |
| 146 | Narutochō-mitsuishi Tokushima, Japan | 26.0 | |
| 146 | Hachiōji Tokyo, Japan | 26.0 | |
| 146 | Edmonton Alberta, Canada | 26.0 | |
| 146 | Fujiyoshida Yamanashi, Japan | 26.0 | |
| 152 | Rasapūdipalem Andhra Pradesh, India | 25.9 | |
| 152 | Rājgīr Bihar, India | 25.9 | |
| 152 | Minawa Kanagawa, Japan | 25.9 | |
| 152 | Mima Tokushima, Japan | 25.9 | |
| 152 | Fuefuki Yamanashi, Japan | 25.9 | |
| 157 | Shimada Shizuoka, Japan | 25.7 | |
| 157 | Saikū Mie, Japan | 25.7 | |
| 157 | Numazu Shizuoka, Japan | 25.7 | |
| 160 | Higashiosaka Osaka, Japan | 25.6 | |
| 161 | Shinagawa Ehime, Japan | 25.5 | |
| 162 | Agartala Tripura, India | 25.4 | |
| 162 | Fujieda Shizuoka, Japan | 25.4 | |
| 162 | Kikugawa Shizuoka, Japan | 25.4 | |
| 165 | Iwata Shizuoka, Japan | 25.3 | |
| 166 | Lahore low-cost sensors Punjab, Pakistan | 25.2 | |
| 166 | Nishinomiya Hyōgo, Japan | 25.2 | |
| 166 | Amagasaki Hyōgo, Japan | 25.2 | |
| 169 | Yao Osaka, Japan | 25.1 | |
| 169 | Hyūga Miyazaki, Japan | 25.1 | |
| 171 | Chennai Tamil Nadu, India | 25.0 | |
| 172 | Minamiashigara Kanagawa, Japan | 24.9 | |
| 173 | Hōryūji Nara, Japan | 24.8 | |
| 174 | Osaka Osaka, Japan | 24.7 | |
| 174 | Santa Catarina Nuevo León, Mexico | 24.7 | |
| 176 | Ōtsuki Yamanashi, Japan | 24.6 | |
| 176 | Ciudad Apodaca Nuevo León, Mexico | 24.6 | |
| 178 | Ciudad Benito Juárez Nuevo León, Mexico | 24.4 | |
| 178 | Matsusaka Mie, Japan | 24.4 | |
| 180 | Hyderabad low-cost sensors Sindh, Pakistan | 24.3 | |
| 180 | Sonīpat Haryana, India | 24.3 | |
| 182 | San Luis Potosí San Luis Potosí, Mexico | 24.2 | |
| 183 | Kochi Kochi, Japan | 24.1 | |
| 183 | Fuji Shizuoka, Japan | 24.1 | |
| 183 | Monterrey Nuevo León, Mexico | 24.1 | |
| 183 | Sherwood Park Alberta, Canada | 24.1 | |
| 183 | Kamisu Ibaraki, Japan | 24.1 | |
| 188 | Dausa Rajasthan, India | 24.0 | |
| 188 | Mosta Il-Mosta, Malta | 24.0 | |
| 188 | Coeur d'Alene Idaho, United States | 24.0 | |
| 191 | Istanbul low-cost sensors Istanbul, Turkey | 23.9 | |
| 191 | Atsugi Kanagawa, Japan | 23.9 | |
| 191 | Kashima-shi Ibaraki, Japan | 23.9 | |
| 191 | San Pawl il-Baħar Saint Paul’s Bay, Malta | 23.9 | |
| 191 | Cadereyta Jiménez Nuevo León, Mexico | 23.9 | |
| 196 | Chaniá Crete, Greece | 23.8 | |
| 196 | Miyazaki Miyazaki, Japan | 23.8 | |
| 196 | Kurihama Kanagawa, Japan | 23.8 | |
| 199 | Susaki Kochi, Japan | 23.7 | |
| 199 | Okayama Okayama, Japan | 23.7 |
Top 200 of 2,279 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