SmogRank / History / April 2024
Most polluted cities, April 2024
1,941 cities ranked by their average PM2.5 over the 30 days. A city needs measurements on 70% of the days to be ranked.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | N'Djamena N’Djaména, Chad | 184.1 | |
| 2 | Kathmandu low-cost sensors Bagmati Province, Nepal | 104.7 | |
| 3 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 80.0 | |
| 4 | Tha Bo Nong Khai, Thailand | 68.9 | |
| 5 | Kolkata West Bengal, India | 57.6 | |
| 6 | Beijing Beijing, China | 56.1 | |
| 7 | Delhi Delhi, India | 55.9 | |
| 8 | Shenyang Liaoning, China | 51.2 | |
| 9 | Baghdad Baghdad, Iraq | 46.2 | |
| 10 | Hyderabad Telangana, India | 46.0 | |
| 10 | Hanoi Hanoi, Vietnam | 46.0 | |
| 12 | Santa Anita - Los Ficus Lima region, Peru | 44.3 | |
| 13 | Cairo Cairo, Egypt | 42.4 | |
| 14 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 41.5 | |
| 15 | Jakarta Jakarta, Indonesia | 39.2 | |
| 16 | Yangon Yangon, Myanmar | 36.8 | |
| 17 | Ciudad Juárez Chihuahua, Mexico | 34.5 | |
| 18 | Kigali Kigali, Rwanda | 32.5 | |
| 19 | Celaya Guanajuato, Mexico | 31.6 | |
| 20 | Karachi low-cost sensors Sindh, Pakistan | 31.1 | |
| 21 | Guatemala City Guatemala, Guatemala | 29.1 | |
| 22 | Mumbai Maharashtra, India | 29.0 | |
| 23 | Rabinal Baja Verapaz, Guatemala | 28.7 | |
| 24 | Şabāḩ as Sālim Mubārak al Kabīr, Kuwait | 28.0 | |
| 25 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 27.0 | |
| 26 | Shanghai Shanghai, China | 26.8 | |
| 27 | Jeddah Mecca Region, Saudi Arabia | 26.5 | |
| 28 | Islamabad low-cost sensors Islamabad, Pakistan | 26.4 | |
| 29 | Abuja low-cost sensors FCT, Nigeria | 25.5 | |
| 30 | Salamanca Guanajuato, Mexico | 25.4 | |
| 31 | Villa Poeta José Gálvez Barrenechea Lima region, Peru | 25.1 | |
| 32 | Addis Ababa Addis Ababa, Ethiopia | 24.3 | |
| 33 | Antananarivo Analamanga, Madagascar | 23.6 | |
| 33 | Zhushan Taiwan, Taiwan | 23.6 | |
| 35 | Wan Chai Wan Chai, Hong Kong | 22.6 | |
| 36 | Astana Astana, Kazakhstan | 22.5 | |
| 36 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 22.5 | |
| 38 | Novi Pazar Central Serbia, Serbia | 22.0 | |
| 39 | Guangzhou Guangdong, China | 21.8 | |
| 40 | Shulin Taipei, Taiwan | 21.5 | |
| 40 | Ulan Bator Ulaanbaatar, Mongolia | 21.5 | |
| 42 | Działdowo Warmia-Masuria, Poland | 21.3 | |
| 42 | Erlin Taiwan, Taiwan | 21.3 | |
| 44 | Baku Baki, Azerbaijan | 21.2 | |
| 45 | Taibao Taiwan, Taiwan | 21.0 | |
| 45 | Lima Lima Province, Peru | 21.0 | |
| 47 | Jincheng Fukien, Taiwan | 20.7 | |
| 48 | Salor Tashkent Region, Uzbekistan | 20.6 | |
| 48 | Yongkang Taiwan, Taiwan | 20.6 | |
| 50 | Puli Taiwan, Taiwan | 20.5 | |
| 51 | Ćuprija Central Serbia, Serbia | 20.4 | |
| 51 | Douliu Taiwan, Taiwan | 20.4 | |
| 51 | Yuanlin Taiwan, Taiwan | 20.4 | |
| 54 | Erlun Taiwan, Taiwan | 20.2 | |
| 55 | Beigang Taiwan, Taiwan | 20.0 | |
| 56 | Hsinchu Taiwan, Taiwan | 19.8 | |
| 57 | Ashgabat Ashgabat, Turkmenistan | 19.7 | |
| 58 | Taoyuan Taiwan, Taiwan | 19.6 | |
| 58 | Shikokuchūō Ehime, Japan | 19.6 | |
| 60 | Taichung Taiwan, Taiwan | 19.5 | |
| 60 | Zhubei Taiwan, Taiwan | 19.5 | |
| 60 | Chiayi City Taiwan, Taiwan | 19.5 | |
| 60 | Saijō Ehime, Japan | 19.5 | |
| 64 | Irapuato Guanajuato, Mexico | 19.3 | |
| 65 | Taipei Taiwan, Taiwan | 19.2 | |
| 66 | Fengshan Takao, Taiwan | 19.0 | |
| 67 | Dushanbe Dushanbe, Tajikistan | 18.9 | |
| 68 | Nantou Taiwan, Taiwan | 18.7 | |
| 68 | León de los Aldama Guanajuato, Mexico | 18.7 | |
| 70 | San Francisco De Borja Lima region, Peru | 18.6 | |
| 71 | Toufen Taiwan, Taiwan | 18.5 | |
| 71 | Tainan Taiwan, Taiwan | 18.5 | |
| 71 | Valjevo Central Serbia, Serbia | 18.5 | |
| 74 | Miaoli Taiwan, Taiwan | 18.4 | |
| 74 | Niihama Ehime, Japan | 18.4 | |
| 74 | Benevento Campania, Italy | 18.4 | |
| 77 | Neili Taiwan, Taiwan | 18.3 | |
| 77 | Zhudong Taiwan, Taiwan | 18.3 | |
| 77 | Nakatsu Oita, Japan | 18.3 | |
| 80 | Mission Texas, United States | 18.2 | |
| 80 | New Taipei City Taipei, Taiwan | 18.2 | |
| 82 | Daxi Taiwan, Taiwan | 18.1 | |
| 82 | Tuen Mun Tuen Mun, Hong Kong | 18.1 | |
| 82 | Changhua Taiwan, Taiwan | 18.1 | |
| 82 | Belmopan Cayo District, Belize | 18.1 | |
| 86 | Xinying Taiwan, Taiwan | 18.0 | |
| 86 | Kaohsiung Takao, Taiwan | 18.0 | |
| 88 | Xizhi Taipei, Taiwan | 17.9 | |
| 89 | Xizhou Taiwan, Taiwan | 17.6 | |
| 89 | Mong Kok Yau Tsim Mong District, Hong Kong | 17.6 | |
| 91 | Edinburg Texas, United States | 17.5 | |
| 92 | Athens Attica, Greece | 17.4 | |
| 93 | Fukuyama Hiroshima, Japan | 17.1 | |
| 93 | Užice Central Serbia, Serbia | 17.1 | |
| 95 | Gostivar Gostivar, North Macedonia | 17.0 | |
| 95 | Chennai Tamil Nadu, India | 17.0 | |
| 95 | Maebaru-chūō Fukuoka, Japan | 17.0 | |
| 98 | Buzi Taiwan, Taiwan | 16.8 | |
| 98 | Kourou Guyane, French Guiana | 16.8 | |
| 100 | Kasaoka Okayama, Japan | 16.7 | |
| 101 | Chaozhou Taiwan, Taiwan | 16.6 | |
| 102 | Katowice Silesia, Poland | 16.5 | |
| 102 | San Miguel de Allende Guanajuato, Mexico | 16.5 | |
| 104 | Bielsko-Biala Silesia, Poland | 16.4 | |
| 105 | Kan’onjichō Kagawa, Japan | 16.3 | |
| 105 | Ponca City Oklahoma, United States | 16.3 | |
| 107 | Colombo Western Province, Sri Lanka | 16.2 | |
| 107 | Kuala Lumpur low-cost sensors Kuala Lumpur, Malaysia | 16.2 | |
| 107 | Östersund Jämtland, Sweden | 16.2 | |
| 110 | Włocławek Kujawsko-Pomorskie, Poland | 16.0 | |
| 111 | Smederevo Central Serbia, Serbia | 15.9 | |
| 111 | Ōmuta Fukuoka, Japan | 15.9 | |
| 111 | Cártama Andalusia, Spain | 15.9 | |
| 114 | Hualien City Taiwan, Taiwan | 15.8 | |
| 114 | Jastrzębie Zdrój Silesia, Poland | 15.8 | |
| 114 | Alessandria Piedmont, Italy | 15.8 | |
| 117 | Toki Gifu, Japan | 15.7 | |
| 117 | Hita Oita, Japan | 15.7 | |
| 119 | Fukushima Fukushima, Japan | 15.6 | |
| 119 | Racibórz Silesia, Poland | 15.6 | |
| 119 | Abasolo Guanajuato, Mexico | 15.6 | |
| 122 | Yokkaichi Mie, Japan | 15.4 | |
| 122 | Kure Hiroshima, Japan | 15.4 | |
| 122 | Yoshioka Miyagi, Japan | 15.4 | |
| 122 | Laredo Texas, United States | 15.4 | |
| 122 | Chikugo Fukuoka, Japan | 15.4 | |
| 127 | Tsurusaki Oita, Japan | 15.3 | |
| 127 | Tamano Okayama, Japan | 15.3 | |
| 127 | Imabari Ehime, Japan | 15.3 | |
| 130 | Kurashiki Okayama, Japan | 15.2 | |
| 130 | Igusa Saitama, Japan | 15.2 | |
| 130 | Fukuoka Fukuoka, Japan | 15.2 | |
| 133 | Tetovo Tetovo, North Macedonia | 15.1 | |
| 133 | Yorii Saitama, Japan | 15.1 | |
| 133 | Iyo Ehime, Japan | 15.1 | |
| 133 | Kani Gifu, Japan | 15.1 | |
| 137 | Sekimachi Gifu, Japan | 15.0 | |
| 137 | Gyōda Saitama, Japan | 15.0 | |
| 139 | Pirot Central Serbia, Serbia | 14.9 | |
| 139 | Sham Shui Po Sham Shui Po District, Hong Kong | 14.9 | |
| 139 | Tanushimarumachi-toyoki Fukuoka, Japan | 14.9 | |
| 139 | Tahara Aichi, Japan | 14.9 | |
| 139 | Imarichō-kō Saga, Japan | 14.9 | |
| 139 | Iruma Saitama, Japan | 14.9 | |
| 139 | Koga Fukuoka, Japan | 14.9 | |
| 139 | Asakuchi Okayama, Japan | 14.9 | |
| 147 | Kodamachō-kodamaminami Saitama, Japan | 14.8 | |
| 147 | Kameyama Mie, Japan | 14.8 | |
| 147 | Lawrenceville Georgia, United States | 14.8 | |
| 150 | Skarżysko-Kamienna Świętokrzyskie, Poland | 14.7 | |
| 150 | Łuków Lublin, Poland | 14.7 | |
| 150 | Marugame Kagawa, Japan | 14.7 | |
| 150 | Kazo Saitama, Japan | 14.7 | |
| 150 | Matsuyama Ehime, Japan | 14.7 | |
| 150 | Shiroishi Miyagi, Japan | 14.7 | |
| 150 | Zgierz Łódź Voivodeship, Poland | 14.7 | |
| 157 | Kampala low-cost sensors Central Region, Uganda | 14.6 | |
| 157 | Tsuen Wan Tsuen Wan, Hong Kong | 14.6 | |
| 157 | Sōja Okayama, Japan | 14.6 | |
| 157 | Minato Wakayama, Japan | 14.6 | |
| 157 | Sasebo Nagasaki, Japan | 14.6 | |
| 157 | Kitakyushu Fukuoka, Japan | 14.6 | |
| 157 | Nagai Yamagata, Japan | 14.6 | |
| 157 | Acerra Campania, Italy | 14.6 | |
| 157 | Corpus Christi Texas, United States | 14.6 | |
| 157 | Hashima Gifu, Japan | 14.6 | |
| 157 | Sado Niigata, Japan | 14.6 | |
| 168 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 14.5 | |
| 168 | Pruszków Mazovia, Poland | 14.5 | |
| 168 | Zemun Central Serbia, Serbia | 14.5 | |
| 168 | Keelung Taiwan, Taiwan | 14.5 | |
| 168 | Kwai Chung Kwai Tsing District, Hong Kong | 14.5 | |
| 168 | Owariasahi Aichi, Japan | 14.5 | |
| 174 | Asprópyrgos Attica, Greece | 14.4 | |
| 174 | Lublin Lublin, Poland | 14.4 | |
| 174 | Lazarevac Central Serbia, Serbia | 14.4 | |
| 174 | Takasaki Gunma, Japan | 14.4 | |
| 174 | Ishinomaki Miyagi, Japan | 14.4 | |
| 174 | Kutno Łódź Voivodeship, Poland | 14.4 | |
| 174 | Tsushima Nagasaki, Japan | 14.4 | |
| 181 | Siedlce Mazovia, Poland | 14.3 | |
| 181 | Niš Central Serbia, Serbia | 14.3 | |
| 181 | Shibata Niigata, Japan | 14.3 | |
| 181 | Iwanuma Miyagi, Japan | 14.3 | |
| 181 | Bailén Andalusia, Spain | 14.3 | |
| 181 | Łask Łódź Voivodeship, Poland | 14.3 | |
| 181 | Misato, Saitama Saitama, Japan | 14.3 | |
| 181 | Sōma Fukushima, Japan | 14.3 | |
| 189 | Radom Mazovia, Poland | 14.2 | |
| 189 | Yilan Taiwan, Taiwan | 14.2 | |
| 189 | Tai Po Tai Po, Hong Kong | 14.2 | |
| 189 | Uozu Toyama, Japan | 14.2 | |
| 189 | Suzaka Nagano, Japan | 14.2 | |
| 189 | Maspalomas Canary Islands, Spain | 14.2 | |
| 189 | Granadilla de Abona Canary Islands, Spain | 14.2 | |
| 196 | Zentsujichó Kagawa, Japan | 14.1 | |
| 196 | Togitsu Nagasaki, Japan | 14.1 | |
| 196 | Sakai-nakajima Gunma, Japan | 14.1 | |
| 196 | Menuma Saitama, Japan | 14.1 | |
| 196 | Algiers Algiers, Algeria | 14.1 |
Top 200 of 1,941 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