SmogRank / History / week of April 14, 2025
Most polluted cities, week of April 14, 2025
2,207 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 | Santa Anita Jalisco, Mexico | 90.0 | |
| 2 | Delhi Delhi, India | 65.2 | |
| 3 | Dushanbe Dushanbe, Tajikistan | 62.1 | |
| 4 | Islamabad low-cost sensors Islamabad, Pakistan | 54.0 | |
| 5 | Sunland Park New Mexico, United States | 47.5 | |
| 6 | Cuernavaca Morelos, Mexico | 42.3 | |
| 7 | El Paso Texas, United States | 40.1 | |
| 8 | Guangzhou Guangdong, China | 39.5 | |
| 9 | Wan Chai Wan Chai, Hong Kong | 37.8 | |
| 10 | Victoria de Durango Durango, Mexico | 37.1 | |
| 11 | Hacienda Santa Fe Jalisco, Mexico | 35.8 | |
| 12 | Zacatepec de Hidalgo Morelos, Mexico | 35.7 | |
| 13 | Ciudad Nezahualcoyotl México, Mexico | 35.3 | |
| 14 | Tuen Mun Tuen Mun, Hong Kong | 34.8 | |
| 15 | Istanbul low-cost sensors Istanbul, Turkey | 34.2 | |
| 16 | Cuautla Morelos, Mexico | 34.1 | |
| 17 | Ciudad Juárez Chihuahua, Mexico | 34.0 | |
| 18 | Callao Callao, Peru | 33.4 | |
| 19 | Mong Kok Yau Tsim Mong District, Hong Kong | 32.7 | |
| 20 | Fanling North District, Hong Kong | 32.5 | |
| 21 | Tlaquepaque Jalisco, Mexico | 32.4 | |
| 22 | Shenyang Liaoning, China | 31.7 | |
| 23 | Puebla Puebla, Mexico | 31.2 | |
| 24 | Tehuacán Puebla, Mexico | 31.0 | |
| 25 | Socorro Texas, United States | 30.4 | |
| 26 | Quezon City low-cost sensors National Capital Region, Philippines | 30.3 | |
| 26 | Aguascalientes Aguascalientes, Mexico | 30.3 | |
| 28 | Lima Lima Province, Peru | 30.1 | |
| 29 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 29.9 | |
| 30 | Mexico City Mexico City, Mexico | 29.5 | |
| 31 | Dubai low-cost sensors Dubai, United Arab Emirates | 29.3 | |
| 32 | San Tung Chung Hang Islands, Hong Kong | 29.2 | |
| 33 | Hobbs New Mexico, United States | 29.0 | |
| 34 | Jakarta Jakarta, Indonesia | 28.9 | |
| 34 | Mixquiahuala de Juárez Hidalgo, Mexico | 28.9 | |
| 36 | Victoria Central and Western, Hong Kong | 28.2 | |
| 37 | Kwai Chung Kwai Tsing District, Hong Kong | 28.1 | |
| 38 | Tai Po Tai Po, Hong Kong | 27.9 | |
| 39 | Chihuahua Chihuahua, Mexico | 27.4 | |
| 40 | Apizaco Tlaxcala, Mexico | 26.5 | |
| 41 | Sau Mau Ping Kwun Tong District, Hong Kong | 26.1 | |
| 42 | Zapopan Jalisco, Mexico | 26.0 | |
| 43 | Tsuen Wan Tsuen Wan, Hong Kong | 25.8 | |
| 43 | Tin Shui Wai Yuen Long, Hong Kong | 25.8 | |
| 45 | Jincheng Fukien, Taiwan | 25.7 | |
| 46 | García Nuevo León, Mexico | 25.4 | |
| 47 | Guadalajara Jalisco, Mexico | 25.2 | |
| 48 | Sham Shui Po Sham Shui Po District, Hong Kong | 24.9 | |
| 49 | Morelia Michoacán, Mexico | 24.8 | |
| 50 | Taoyuan Taiwan, Taiwan | 24.7 | |
| 51 | San Luis de la Paz Guanajuato, Mexico | 24.3 | |
| 52 | Sha Tin Sha Tin, Hong Kong | 24.2 | |
| 53 | Irapuato Guanajuato, Mexico | 23.6 | |
| 54 | Negotin Central Serbia, Serbia | 23.5 | |
| 54 | Sopot Pomerania, Poland | 23.5 | |
| 54 | Gdynia Pomerania, Poland | 23.5 | |
| 57 | Novi Pazar Central Serbia, Serbia | 23.4 | |
| 58 | Vereeniging low-cost sensors Gauteng, South Africa | 23.2 | |
| 58 | Buzi Taiwan, Taiwan | 23.2 | |
| 58 | Gdańsk Pomerania, Poland | 23.2 | |
| 61 | Aberdeen Southern District, Hong Kong | 23.0 | |
| 61 | Tulancingo Hidalgo, Mexico | 23.0 | |
| 63 | Taibao Taiwan, Taiwan | 22.9 | |
| 63 | Xizhou Taiwan, Taiwan | 22.9 | |
| 65 | Saltillo Coahuila, Mexico | 22.8 | |
| 65 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 22.8 | |
| 65 | San Francisco De Borja Lima region, Peru | 22.8 | |
| 68 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 22.5 | |
| 69 | Hsinchu Taiwan, Taiwan | 22.4 | |
| 69 | Erlun Taiwan, Taiwan | 22.4 | |
| 71 | Taipei Taiwan, Taiwan | 22.2 | |
| 72 | Chennai Tamil Nadu, India | 22.1 | |
| 73 | Yuanlin Taiwan, Taiwan | 22.0 | |
| 74 | Taichung Taiwan, Taiwan | 21.9 | |
| 74 | New Taipei City Taipei, Taiwan | 21.9 | |
| 76 | Neili Taiwan, Taiwan | 21.8 | |
| 76 | Erlin Taiwan, Taiwan | 21.8 | |
| 78 | Zhubei Taiwan, Taiwan | 21.6 | |
| 78 | Monterrey Nuevo León, Mexico | 21.6 | |
| 78 | Ciudad Benito Juárez Nuevo León, Mexico | 21.6 | |
| 81 | Tepic Nayarit, Mexico | 21.5 | |
| 82 | Addis Ababa Addis Ababa, Ethiopia | 21.4 | |
| 82 | Nantou Taiwan, Taiwan | 21.4 | |
| 84 | Changhua Taiwan, Taiwan | 21.3 | |
| 85 | Zaječar Central Serbia, Serbia | 21.0 | |
| 86 | Douliu Taiwan, Taiwan | 20.9 | |
| 87 | Daxi Taiwan, Taiwan | 20.6 | |
| 87 | Xizhi Taipei, Taiwan | 20.6 | |
| 89 | Shulin Taipei, Taiwan | 20.5 | |
| 89 | Magong Taiwan, Taiwan | 20.5 | |
| 91 | Toufen Taiwan, Taiwan | 20.4 | |
| 91 | Cadereyta Jiménez Nuevo León, Mexico | 20.4 | |
| 93 | Liepāja Liepaja, Latvia | 20.3 | |
| 93 | Zhudong Taiwan, Taiwan | 20.3 | |
| 95 | Sai Mai low-cost sensors Bangkok, Thailand | 20.1 | |
| 96 | Puli Taiwan, Taiwan | 19.9 | |
| 97 | Yongkang Taiwan, Taiwan | 19.8 | |
| 97 | Tainan Taiwan, Taiwan | 19.8 | |
| 97 | Beigang Taiwan, Taiwan | 19.8 | |
| 97 | Zhushan Taiwan, Taiwan | 19.8 | |
| 97 | Santa Anita - Los Ficus Lima region, Peru | 19.8 | |
| 102 | Jardines de la Silla Nuevo León, Mexico | 19.7 | |
| 103 | Albany Georgia, United States | 19.6 | |
| 104 | Fengshan Takao, Taiwan | 19.4 | |
| 105 | Xinying Taiwan, Taiwan | 19.3 | |
| 105 | Tula de Allende Hidalgo, Mexico | 19.3 | |
| 107 | Kaohsiung Takao, Taiwan | 19.1 | |
| 107 | Iloilo low-cost sensors Western Visayas, Philippines | 19.1 | |
| 109 | Ciudad General Escobedo Nuevo León, Mexico | 19.0 | |
| 109 | La Providencia Siglo XXI Hidalgo, Mexico | 19.0 | |
| 111 | San Juan del Río Querétaro, Mexico | 18.8 | |
| 112 | Miaoli Taiwan, Taiwan | 18.7 | |
| 112 | Chiayi City Taiwan, Taiwan | 18.7 | |
| 112 | León de los Aldama Guanajuato, Mexico | 18.7 | |
| 115 | Klaipėda Klaipėda County, Lithuania | 18.5 | |
| 115 | Salamanca Guanajuato, Mexico | 18.5 | |
| 117 | Santa Catarina Nuevo León, Mexico | 18.3 | |
| 117 | San Luis Potosí San Luis Potosí, Mexico | 18.3 | |
| 119 | Chaozhou Taiwan, Taiwan | 18.1 | |
| 120 | Prokuplje Central Serbia, Serbia | 18.0 | |
| 121 | Hiratsuka Kanagawa, Japan | 17.8 | |
| 122 | Sanzhi Taipei, Taiwan | 17.7 | |
| 123 | Columbus Georgia, United States | 17.6 | |
| 124 | Bangkok low-cost sensors Bangkok, Thailand | 17.4 | |
| 125 | Ventspils Ventspils, Latvia | 17.3 | |
| 125 | Leskovac Central Serbia, Serbia | 17.3 | |
| 125 | Pachuca de Soto Hidalgo, Mexico | 17.3 | |
| 128 | Keelung Taiwan, Taiwan | 17.1 | |
| 128 | Kurashiki Okayama, Japan | 17.1 | |
| 128 | Tallahassee Florida, United States | 17.1 | |
| 131 | Nairobi Nairobi County, Kenya | 16.7 | |
| 132 | Yokkaichi Mie, Japan | 16.6 | |
| 133 | Accra low-cost sensors Greater Accra, Ghana | 16.5 | |
| 133 | Celaya Guanajuato, Mexico | 16.5 | |
| 135 | Yilan Taiwan, Taiwan | 16.4 | |
| 135 | Kameyama Mie, Japan | 16.4 | |
| 137 | San Pawl il-Baħar Saint Paul’s Bay, Malta | 16.3 | |
| 138 | Suzuka Mie, Japan | 16.1 | |
| 138 | Kofu Yamanashi, Japan | 16.1 | |
| 138 | Neubrandenburg Mecklenburg-Vorpommern, Germany | 16.1 | |
| 141 | Otwock Mazovia, Poland | 16.0 | |
| 141 | Ōtsuki Yamanashi, Japan | 16.0 | |
| 141 | Ishinomaki Miyagi, Japan | 16.0 | |
| 141 | Elbląg Warmia-Masuria, Poland | 16.0 | |
| 145 | Stodůlky low-cost sensors Prague, Czechia | 15.9 | |
| 146 | Asakuchi Okayama, Japan | 15.8 | |
| 147 | Inabe Mie, Japan | 15.7 | |
| 148 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 15.6 | |
| 148 | Olsztyn Warmia-Masuria, Poland | 15.6 | |
| 148 | Kraljevo Central Serbia, Serbia | 15.6 | |
| 148 | Tamana Kumamoto, Japan | 15.6 | |
| 148 | Onoda Yamaguchi, Japan | 15.6 | |
| 148 | Igusa Saitama, Japan | 15.6 | |
| 148 | Gyōda Saitama, Japan | 15.6 | |
| 148 | Włocławek Kujawsko-Pomorskie, Poland | 15.6 | |
| 148 | San Miguel de Allende Guanajuato, Mexico | 15.6 | |
| 148 | Topeka Kansas, United States | 15.6 | |
| 148 | Owariasahi Aichi, Japan | 15.6 | |
| 148 | Shikokuchūō Ehime, Japan | 15.6 | |
| 160 | Yerevan low-cost sensors Yerevan, Armenia | 15.5 | |
| 160 | Tsu Mie, Japan | 15.5 | |
| 160 | Saijō Ehime, Japan | 15.5 | |
| 160 | Toruń Kujawsko-Pomorskie, Poland | 15.5 | |
| 160 | Świecie Kujawsko-Pomorskie, Poland | 15.5 | |
| 165 | Tahara Aichi, Japan | 15.4 | |
| 165 | Kodamachō-kodamaminami Saitama, Japan | 15.4 | |
| 167 | Youkaichi Shiga, Japan | 15.3 | |
| 167 | Nabari Mie, Japan | 15.3 | |
| 167 | Las Cruces New Mexico, United States | 15.3 | |
| 167 | Matsusaka Mie, Japan | 15.3 | |
| 171 | Sakado Saitama, Japan | 15.2 | |
| 171 | Nyūzen Toyama, Japan | 15.2 | |
| 171 | Menuma Saitama, Japan | 15.2 | |
| 171 | Kukichūō Saitama, Japan | 15.2 | |
| 171 | Užice Central Serbia, Serbia | 15.2 | |
| 171 | East Ridge Tennessee, United States | 15.2 | |
| 171 | Shirakawa Fukushima, Japan | 15.2 | |
| 178 | Ełk Warmia-Masuria, Poland | 15.1 | |
| 178 | Yujing Taiwan, Taiwan | 15.1 | |
| 178 | Kasaoka Okayama, Japan | 15.1 | |
| 178 | Kariya Aichi, Japan | 15.1 | |
| 178 | Medina Estates low-cost sensors Greater Accra, Ghana | 15.1 | |
| 178 | Stralsund Mecklenburg-Vorpommern, Germany | 15.1 | |
| 178 | Kołobrzeg West Pomerania, Poland | 15.1 | |
| 178 | Higashi-Matsuyama Saitama, Japan | 15.1 | |
| 186 | Tamano Okayama, Japan | 15.0 | |
| 186 | Sakai-nakajima Gunma, Japan | 15.0 | |
| 186 | Chigasaki Kanagawa, Japan | 15.0 | |
| 186 | Kuwana Mie, Japan | 15.0 | |
| 190 | Tomaszów Lubelski Lublin, Poland | 14.9 | |
| 190 | Yorii Saitama, Japan | 14.9 | |
| 190 | Yokota Tokyo, Japan | 14.9 | |
| 190 | Ageo Saitama, Japan | 14.9 | |
| 190 | Valletta Valletta, Malta | 14.9 | |
| 195 | Kaunas Kaunas, Lithuania | 14.8 | |
| 195 | Morohongō Saitama, Japan | 14.8 | |
| 195 | Marugame Kagawa, Japan | 14.8 | |
| 195 | Kōnosu Saitama, Japan | 14.8 | |
| 195 | Higashiosaka Osaka, Japan | 14.8 | |
| 195 | Asaka Saitama, Japan | 14.8 |
Top 200 of 2,207 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