SmogRank / History / week of October 23, 2023
Most polluted cities, week of October 23, 2023
1,667 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 | Lahore low-cost sensors Punjab, Pakistan | 183.9 | |
| 2 | N'Djamena N’Djaména, Chad | 129.7 | |
| 3 | Delhi Delhi, India | 125.7 | |
| 4 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 104.3 | |
| 5 | Beijing Beijing, China | 87.9 | |
| 6 | Kolkata West Bengal, India | 75.9 | |
| 7 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 71.5 | |
| 8 | Mumbai Maharashtra, India | 70.4 | |
| 9 | Cairo Cairo, Egypt | 67.3 | |
| 10 | Shenyang Liaoning, China | 66.3 | |
| 11 | Islamabad low-cost sensors Islamabad, Pakistan | 59.5 | |
| 11 | Hanoi Hanoi, Vietnam | 59.5 | |
| 13 | Hyderabad Telangana, India | 54.3 | |
| 14 | Karachi low-cost sensors Sindh, Pakistan | 43.0 | |
| 15 | Jakarta Jakarta, Indonesia | 41.1 | |
| 16 | Dushanbe Dushanbe, Tajikistan | 37.8 | |
| 17 | Guangzhou Guangdong, China | 37.7 | |
| 18 | Ulan Bator Ulaanbaatar, Mongolia | 36.2 | |
| 19 | Şabāḩ as Sālim Mubārak al Kabīr, Kuwait | 34.5 | |
| 20 | Bangkok low-cost sensors Bangkok, Thailand | 34.3 | |
| 21 | Abuja low-cost sensors FCT, Nigeria | 33.4 | |
| 22 | Pristina Pristina, Kosovo | 31.9 | |
| 23 | Antananarivo Analamanga, Madagascar | 29.6 | |
| 24 | Kampala low-cost sensors Central Region, Uganda | 29.0 | |
| 25 | Jeddah Mecca Region, Saudi Arabia | 27.6 | |
| 26 | Salor Tashkent Region, Uzbekistan | 26.2 | |
| 27 | Baku Baki, Azerbaijan | 24.0 | |
| 28 | Athens Attica, Greece | 22.9 | |
| 29 | Colombo Western Province, Sri Lanka | 22.5 | |
| 29 | Salamanca Guanajuato, Mexico | 22.5 | |
| 31 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 22.2 | |
| 32 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 22.0 | |
| 32 | Tha Bo Nong Khai, Thailand | 22.0 | |
| 34 | Ashgabat Ashgabat, Turkmenistan | 21.6 | |
| 35 | Asprópyrgos Attica, Greece | 21.3 | |
| 36 | Tuen Mun Tuen Mun, Hong Kong | 20.9 | |
| 37 | Kathmandu low-cost sensors Bagmati Province, Nepal | 20.7 | |
| 37 | Tin Shui Wai Yuen Long, Hong Kong | 20.7 | |
| 39 | Mong Kok Yau Tsim Mong District, Hong Kong | 19.8 | |
| 40 | Tetovo Tetovo, North Macedonia | 19.6 | |
| 41 | Badger Alaska, United States | 19.5 | |
| 42 | Żabbar Ħaż-Żabbar, Malta | 19.0 | |
| 43 | Ilinden Ilinden, North Macedonia | 18.9 | |
| 44 | Addis Ababa Addis Ababa, Ethiopia | 18.5 | |
| 44 | Quezon City low-cost sensors National Capital Region, Philippines | 18.5 | |
| 46 | Thessaloníki Central Macedonia, Greece | 18.3 | |
| 47 | Acharnés Attica, Greece | 18.0 | |
| 48 | Pátra West Greece, Greece | 17.8 | |
| 48 | Celaya Guanajuato, Mexico | 17.8 | |
| 50 | Piraeus Attica, Greece | 17.4 | |
| 50 | Tsuen Wan Tsuen Wan, Hong Kong | 17.4 | |
| 50 | Sham Shui Po Sham Shui Po District, Hong Kong | 17.4 | |
| 50 | Kwai Chung Kwai Tsing District, Hong Kong | 17.4 | |
| 54 | Khalándrion Attica, Greece | 17.2 | |
| 54 | Fanling North District, Hong Kong | 17.2 | |
| 56 | Sliema Tas-Sliema, Malta | 16.7 | |
| 56 | Alessandria Piedmont, Italy | 16.7 | |
| 58 | Tai Po Tai Po, Hong Kong | 16.5 | |
| 59 | Sau Mau Ping Kwun Tong District, Hong Kong | 16.3 | |
| 60 | Skopje Grad Skopje, North Macedonia | 16.2 | |
| 60 | Almaty low-cost sensors Almaty, Kazakhstan | 16.2 | |
| 62 | Nairobi Nairobi County, Kenya | 15.4 | |
| 63 | Chikugo Fukuoka, Japan | 15.3 | |
| 64 | Bensalem Pennsylvania, United States | 15.2 | |
| 65 | Miyakonojō Miyazaki, Japan | 15.1 | |
| 65 | Algiers Algiers, Algeria | 15.1 | |
| 67 | Yawata Kyoto, Japan | 15.0 | |
| 68 | Birmingham Alabama, United States | 14.9 | |
| 69 | Kavadarci Kavadarci, North Macedonia | 14.7 | |
| 69 | Sha Tin Sha Tin, Hong Kong | 14.7 | |
| 69 | Tanushimarumachi-toyoki Fukuoka, Japan | 14.7 | |
| 69 | Coslada Madrid, Spain | 14.7 | |
| 73 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 14.4 | |
| 73 | Kan’onjichō Kagawa, Japan | 14.4 | |
| 73 | Yachiyo Chiba, Japan | 14.4 | |
| 76 | Bizen Okayama, Japan | 14.2 | |
| 77 | Tijuana Baja California, Mexico | 14.0 | |
| 78 | Nagai Yamagata, Japan | 13.9 | |
| 79 | Takanabe Miyazaki, Japan | 13.8 | |
| 79 | Děčín Ústí nad Labem Region, Czechia | 13.8 | |
| 79 | Port Alberni British Columbia, Canada | 13.8 | |
| 82 | Niš Central Serbia, Serbia | 13.7 | |
| 82 | Aberdeen Southern District, Hong Kong | 13.7 | |
| 84 | Nabari Mie, Japan | 13.6 | |
| 84 | Iyo Ehime, Japan | 13.6 | |
| 84 | León de los Aldama Guanajuato, Mexico | 13.6 | |
| 84 | Koga Fukuoka, Japan | 13.6 | |
| 88 | Yangon Yangon, Myanmar | 13.5 | |
| 88 | Nara-shi Nara, Japan | 13.5 | |
| 88 | Silao de la Victoria Guanajuato, Mexico | 13.5 | |
| 88 | Yuma Arizona, United States | 13.5 | |
| 92 | Kazo Saitama, Japan | 13.3 | |
| 93 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 13.2 | |
| 93 | Kurashiki Okayama, Japan | 13.2 | |
| 93 | Kasaoka Okayama, Japan | 13.2 | |
| 93 | Gyōda Saitama, Japan | 13.2 | |
| 93 | Coeur d'Alene Idaho, United States | 13.2 | |
| 98 | Ruse Ruse, Bulgaria | 13.1 | |
| 98 | Maebaru-chūō Fukuoka, Japan | 13.1 | |
| 98 | Kashihara-shi Nara, Japan | 13.1 | |
| 101 | Chigasaki Kanagawa, Japan | 13.0 | |
| 101 | Granite City Illinois, United States | 13.0 | |
| 101 | Cranbrook British Columbia, Canada | 13.0 | |
| 101 | Duncan British Columbia, Canada | 13.0 | |
| 101 | Prince George British Columbia, Canada | 13.0 | |
| 106 | Bitola Bitola, North Macedonia | 12.9 | |
| 106 | Amagasaki Hyōgo, Japan | 12.9 | |
| 106 | Anchorage Alaska, United States | 12.9 | |
| 109 | Tsurusaki Oita, Japan | 12.8 | |
| 109 | Tamano Okayama, Japan | 12.8 | |
| 111 | Denver Colorado, United States | 12.7 | |
| 111 | Candler-McAfee Georgia, United States | 12.7 | |
| 113 | Ōmuta Fukuoka, Japan | 12.6 | |
| 113 | Higashigō Saga, Japan | 12.6 | |
| 115 | Shimonoseki Yamaguchi, Japan | 12.5 | |
| 115 | Okayama Okayama, Japan | 12.5 | |
| 115 | Fresno California, United States | 12.5 | |
| 115 | Spokane Valley Washington, United States | 12.5 | |
| 119 | Baton Rouge Louisiana, United States | 12.4 | |
| 119 | Chikusei Ibaraki, Japan | 12.4 | |
| 119 | Sugai Kyoto, Japan | 12.4 | |
| 122 | Zentsujichó Kagawa, Japan | 12.3 | |
| 122 | Uji Kyoto, Japan | 12.3 | |
| 122 | Sandachō Hyōgo, Japan | 12.3 | |
| 122 | Kakegawa Shizuoka, Japan | 12.3 | |
| 122 | San Luis de la Paz Guanajuato, Mexico | 12.3 | |
| 122 | Misato, Saitama Saitama, Japan | 12.3 | |
| 128 | Tsuyama Okayama, Japan | 12.2 | |
| 128 | Niihama Ehime, Japan | 12.2 | |
| 128 | Marugame Kagawa, Japan | 12.2 | |
| 128 | Kakogawachō-honmachi Hyōgo, Japan | 12.2 | |
| 132 | Veles Veles, North Macedonia | 12.1 | |
| 132 | Honmachi Kumamoto, Japan | 12.1 | |
| 132 | Uto Kumamoto, Japan | 12.1 | |
| 132 | Tamana Kumamoto, Japan | 12.1 | |
| 132 | Sōja Okayama, Japan | 12.1 | |
| 132 | Nichinan Miyazaki, Japan | 12.1 | |
| 132 | Kumamoto Kumamoto, Japan | 12.1 | |
| 132 | Kashiwara Nara, Japan | 12.1 | |
| 132 | Irapuato Guanajuato, Mexico | 12.1 | |
| 132 | Hattiesburg Mississippi, United States | 12.1 | |
| 132 | Iga Mie, Japan | 12.1 | |
| 143 | Cluj-Napoca Cluj County, Romania | 12.0 | |
| 143 | Minato Wakayama, Japan | 12.0 | |
| 143 | Kurume Fukuoka, Japan | 12.0 | |
| 143 | Ikedachō Tokushima, Japan | 12.0 | |
| 143 | La Línea de la Concepción Andalusia, Spain | 12.0 | |
| 143 | Spokane Washington, United States | 12.0 | |
| 149 | Kitakyushu Fukuoka, Japan | 11.9 | |
| 149 | Kisarazu Chiba, Japan | 11.9 | |
| 149 | Saijō Ehime, Japan | 11.9 | |
| 149 | Teltow Brandenburg, Germany | 11.9 | |
| 149 | New Brunswick New Jersey, United States | 11.9 | |
| 149 | Kirishima Kagoshima, Japan | 11.9 | |
| 149 | Tatsuno Hyōgo, Japan | 11.9 | |
| 156 | Susaki Kochi, Japan | 11.8 | |
| 156 | Saiki Oita, Japan | 11.8 | |
| 156 | East Saint Louis Illinois, United States | 11.8 | |
| 156 | Regina Saskatchewan, Canada | 11.8 | |
| 156 | Mima Tokushima, Japan | 11.8 | |
| 161 | Hanyū Saitama, Japan | 11.7 | |
| 161 | Matsuyama Ehime, Japan | 11.7 | |
| 161 | Trenton New Jersey, United States | 11.7 | |
| 161 | Brawley California, United States | 11.7 | |
| 161 | Fontana California, United States | 11.7 | |
| 161 | Asakuchi Okayama, Japan | 11.7 | |
| 167 | Tatebayashi Gunma, Japan | 11.6 | |
| 167 | Iwade Wakayama, Japan | 11.6 | |
| 167 | Bernau bei Berlin Brandenburg, Germany | 11.6 | |
| 167 | West Mifflin Pennsylvania, United States | 11.6 | |
| 167 | Courtenay British Columbia, Canada | 11.6 | |
| 172 | Kochani Kochani, North Macedonia | 11.5 | |
| 172 | Ōzu Kumamoto, Japan | 11.5 | |
| 172 | Nakatsu Oita, Japan | 11.5 | |
| 172 | Kanzakimachi-kanzaki Saga, Japan | 11.5 | |
| 172 | Hiratsuka Kanagawa, Japan | 11.5 | |
| 172 | Conakry Conakry, Guinea | 11.5 | |
| 172 | Hyūga Miyazaki, Japan | 11.5 | |
| 179 | Sano Tochigi, Japan | 11.4 | |
| 179 | Higashinozoe Hyōgo, Japan | 11.4 | |
| 179 | Narutochō-mitsuishi Tokushima, Japan | 11.4 | |
| 179 | Menuma Saitama, Japan | 11.4 | |
| 179 | Igusa Saitama, Japan | 11.4 | |
| 179 | Little Rock Arkansas, United States | 11.4 | |
| 179 | Niiza Saitama, Japan | 11.4 | |
| 179 | Susono Shizuoka, Japan | 11.4 | |
| 179 | Shikokuchūō Ehime, Japan | 11.4 | |
| 179 | Harewood British Columbia, Canada | 11.4 | |
| 189 | Uekimachi-mōno Kumamoto, Japan | 11.3 | |
| 189 | Suzuka Mie, Japan | 11.3 | |
| 189 | Sendai Kagoshima, Japan | 11.3 | |
| 189 | Kyoto Kyoto, Japan | 11.3 | |
| 189 | Kameyama Mie, Japan | 11.3 | |
| 189 | Fukuyama Hiroshima, Japan | 11.3 | |
| 189 | Berlin State of Berlin, Germany | 11.3 | |
| 189 | Bohumín Moravian-Silesian Region, Czechia | 11.3 | |
| 197 | Tosu Saga, Japan | 11.2 | |
| 197 | Kōnosu Saitama, Japan | 11.2 | |
| 197 | Kochi Kochi, Japan | 11.2 | |
| 197 | Kasukabe Saitama, Japan | 11.2 |
Top 200 of 1,667 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