SmogRank / History / February 19, 2026
Most polluted cities on February 19, 2026
1,680 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Faisalabad low-cost sensors Punjab, Pakistan | 216.0 | |
| 2 | Gujranwala low-cost sensors Punjab, Pakistan | 199.0 | |
| 3 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 190.0 | |
| 4 | Lahore low-cost sensors Punjab, Pakistan | 185.0 | |
| 5 | Sialkot low-cost sensors Punjab, Pakistan | 138.0 | |
| 6 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 135.0 | |
| 7 | Multan low-cost sensors Punjab, Pakistan | 108.0 | |
| 7 | Tuxtla Chiapas, Mexico | 108.0 | |
| 9 | Bahawalpur low-cost sensors Punjab, Pakistan | 97.8 | |
| 10 | Rawalpindi low-cost sensors Punjab, Pakistan | 93.6 | |
| 11 | Delhi Delhi, India | 90.3 | |
| 12 | Srinagar Jammu and Kashmir, India | 84.4 | |
| 13 | Burunday low-cost sensors Almaty Region, Kazakhstan | 72.6 | |
| 14 | Hyderabad Telangana, India | 67.3 | |
| 15 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 64.3 | |
| 16 | Quetta low-cost sensors Balochistan, Pakistan | 63.6 | |
| 17 | Islamabad low-cost sensors Islamabad, Pakistan | 61.3 | |
| 18 | Kathmandu low-cost sensors Bagmati Province, Nepal | 60.6 | |
| 19 | Murree low-cost sensors Punjab, Pakistan | 59.3 | |
| 20 | Hyderabad low-cost sensors Sindh, Pakistan | 56.9 | |
| 21 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 53.9 | |
| 22 | Phuntsholing low-cost sensors Chukha, Bhutan | 51.0 | |
| 23 | Karachi low-cost sensors Sindh, Pakistan | 49.9 | |
| 24 | Sai Mai low-cost sensors Bangkok, Thailand | 49.0 | |
| 25 | Laredo Texas, United States | 47.7 | |
| 26 | Changchun low-cost sensors Jilin, China | 46.6 | |
| 27 | Brownsville Texas, United States | 46.5 | |
| 28 | Corpus Christi Texas, United States | 45.3 | |
| 29 | Stodůlky low-cost sensors Prague, Czechia | 45.1 | |
| 30 | Kampala low-cost sensors Central Region, Uganda | 44.7 | |
| 31 | San Martin Texmelucan de Labastida Puebla, Mexico | 44.5 | |
| 32 | Edinburg Texas, United States | 43.9 | |
| 33 | Ventspils Ventspils, Latvia | 43.7 | |
| 34 | Bangkok low-cost sensors Bangkok, Thailand | 43.3 | |
| 35 | Sukuta low-cost sensors Western, Gambia | 43.0 | |
| 36 | Liepāja Liepaja, Latvia | 42.3 | |
| 36 | Târgu Mureş low-cost sensors Mureș County, Romania | 42.3 | |
| 36 | Piatra Neamţ Neamț County, Romania | 42.3 | |
| 39 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 42.1 | |
| 40 | San Salvador Tizatlalli México, Mexico | 41.9 | |
| 41 | Lagos low-cost sensors Lagos, Nigeria | 41.7 | |
| 42 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 41.3 | |
| 43 | Mission Texas, United States | 39.9 | |
| 44 | Iaşi Iași County, Romania | 38.6 | |
| 45 | Ziguinchor low-cost sensors Ziguinchor, Senegal | 37.9 | |
| 46 | Říčany low-cost sensors Central Bohemia, Czechia | 37.3 | |
| 47 | Kaunas Kaunas, Lithuania | 37.2 | |
| 48 | Tema low-cost sensors Greater Accra, Ghana | 36.4 | |
| 49 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 35.8 | |
| 50 | Narva Ida-Virumaa, Estonia | 35.7 | |
| 51 | Brikama low-cost sensors Western, Gambia | 35.1 | |
| 52 | Zagreb low-cost sensors Zagreb, Croatia | 34.8 | |
| 53 | Puebla Puebla, Mexico | 34.2 | |
| 54 | Uttaradit low-cost sensors Uttaradit, Thailand | 33.8 | |
| 55 | Cuautla Morelos, Mexico | 33.7 | |
| 56 | San Antonio Texas, United States | 33.5 | |
| 57 | Oaxaca Oaxaca, Mexico | 33.0 | |
| 58 | Hita Oita, Japan | 32.9 | |
| 58 | San Francisco Tlalcilalcalpan México, Mexico | 32.9 | |
| 60 | York Pennsylvania, United States | 32.3 | |
| 61 | Celaya Guanajuato, Mexico | 32.2 | |
| 62 | Vereeniging low-cost sensors Gauteng, South Africa | 31.7 | |
| 63 | Suceava Suceava, Romania | 31.3 | |
| 63 | Hacienda Santa Fe Jalisco, Mexico | 31.3 | |
| 65 | Live Oak Texas, United States | 30.9 | |
| 66 | Tehuacán Puebla, Mexico | 30.7 | |
| 67 | Cadereyta Jiménez Nuevo León, Mexico | 30.6 | |
| 68 | Xonacatlán México, Mexico | 30.3 | |
| 69 | Tlaquepaque Jalisco, Mexico | 30.1 | |
| 70 | San Luis de la Paz Guanajuato, Mexico | 29.9 | |
| 71 | Ashaiman low-cost sensors Greater Accra, Ghana | 29.4 | |
| 72 | College Station Texas, United States | 29.3 | |
| 73 | Erlun Taiwan, Taiwan | 28.8 | |
| 74 | San Marcos Texas, United States | 28.7 | |
| 75 | Tlaxcala Tlaxcala, Mexico | 28.6 | |
| 75 | Silao de la Victoria Guanajuato, Mexico | 28.6 | |
| 77 | Harrisburg Pennsylvania, United States | 28.4 | |
| 78 | San Juan del Río Querétaro, Mexico | 28.3 | |
| 79 | Magong Taiwan, Taiwan | 28.0 | |
| 80 | Carlisle Pennsylvania, United States | 27.8 | |
| 81 | Mixquiahuala de Juárez Hidalgo, Mexico | 27.7 | |
| 82 | Podgorica Podgorica, Montenegro | 27.4 | |
| 82 | Lancaster Pennsylvania, United States | 27.4 | |
| 84 | Mexico City Mexico City, Mexico | 27.3 | |
| 85 | Jincheng Fukien, Taiwan | 27.2 | |
| 85 | Ciudad Benito Juárez Nuevo León, Mexico | 27.2 | |
| 87 | Wan Chai Wan Chai, Hong Kong | 26.9 | |
| 87 | Tuen Mun Tuen Mun, Hong Kong | 26.9 | |
| 87 | Fanling North District, Hong Kong | 26.9 | |
| 90 | Santiago de Querétaro Querétaro, Mexico | 26.6 | |
| 91 | Almaty low-cost sensors Almaty, Kazakhstan | 26.5 | |
| 91 | Irapuato Guanajuato, Mexico | 26.5 | |
| 93 | Hyūga Miyazaki, Japan | 25.9 | |
| 94 | Naucalpan de Juárez México, Mexico | 25.8 | |
| 95 | Tainan Taiwan, Taiwan | 25.7 | |
| 96 | Takanabe Miyazaki, Japan | 25.5 | |
| 97 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 25.4 | |
| 97 | Chiayi City Taiwan, Taiwan | 25.4 | |
| 99 | Conroe Texas, United States | 25.3 | |
| 100 | Maebaru-chūō Fukuoka, Japan | 25.2 | |
| 100 | Salamanca Guanajuato, Mexico | 25.2 | |
| 100 | Ciudad Apodaca Nuevo León, Mexico | 25.2 | |
| 103 | San Luis Potosí San Luis Potosí, Mexico | 25.0 | |
| 104 | Tanushimarumachi-toyoki Fukuoka, Japan | 24.9 | |
| 104 | Lebanon Pennsylvania, United States | 24.9 | |
| 106 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 24.8 | |
| 107 | Kwai Chung Kwai Tsing District, Hong Kong | 24.7 | |
| 107 | Haarlem low-cost sensors North Holland, The Netherlands | 24.7 | |
| 107 | Győr Győr-Moson-Sopron, Hungary | 24.7 | |
| 110 | Fukuoka Fukuoka, Japan | 24.5 | |
| 111 | Taibao Taiwan, Taiwan | 24.3 | |
| 111 | Xinying Taiwan, Taiwan | 24.3 | |
| 113 | Douliu Taiwan, Taiwan | 24.2 | |
| 113 | Fredrikstad Østfold, Norway | 24.2 | |
| 113 | Houston Texas, United States | 24.2 | |
| 116 | Sham Shui Po Sham Shui Po District, Hong Kong | 24.1 | |
| 117 | Dushanbe Dushanbe, Tajikistan | 24.0 | |
| 117 | Beigang Taiwan, Taiwan | 24.0 | |
| 117 | Accra low-cost sensors Greater Accra, Ghana | 24.0 | |
| 117 | Austin Texas, United States | 24.0 | |
| 121 | San Tung Chung Hang Islands, Hong Kong | 23.9 | |
| 121 | Kumamoto Kumamoto, Japan | 23.9 | |
| 123 | Yongkang Taiwan, Taiwan | 23.8 | |
| 124 | Erlin Taiwan, Taiwan | 23.7 | |
| 124 | Pachuca de Soto Hidalgo, Mexico | 23.7 | |
| 126 | Keelung Taiwan, Taiwan | 23.4 | |
| 126 | Aguascalientes Aguascalientes, Mexico | 23.4 | |
| 126 | Shintomi Miyazaki, Japan | 23.4 | |
| 126 | Chikugo Fukuoka, Japan | 23.4 | |
| 130 | Fengshan Takao, Taiwan | 23.3 | |
| 130 | Kaohsiung Takao, Taiwan | 23.3 | |
| 132 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 23.2 | |
| 132 | Mission Bend Texas, United States | 23.2 | |
| 132 | Arao Kumamoto, Japan | 23.2 | |
| 135 | Tin Shui Wai Yuen Long, Hong Kong | 23.1 | |
| 136 | Tai Po Tai Po, Hong Kong | 23.0 | |
| 137 | Dubai low-cost sensors Dubai, United Arab Emirates | 22.9 | |
| 137 | Buftea Ilfov, Romania | 22.9 | |
| 137 | Shulin Taipei, Taiwan | 22.9 | |
| 137 | Zhushan Taiwan, Taiwan | 22.9 | |
| 137 | Tsuen Wan Tsuen Wan, Hong Kong | 22.9 | |
| 142 | Yuanlin Taiwan, Taiwan | 22.8 | |
| 143 | Uekimachi-mōno Kumamoto, Japan | 22.7 | |
| 144 | Nantou Taiwan, Taiwan | 22.5 | |
| 145 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 22.3 | |
| 146 | Nobeoka Miyazaki, Japan | 22.2 | |
| 146 | Gyál Pest County, Hungary | 22.2 | |
| 148 | Mong Kok Yau Tsim Mong District, Hong Kong | 22.1 | |
| 149 | Neili Taiwan, Taiwan | 22.0 | |
| 149 | Santa Catarina Nuevo León, Mexico | 22.0 | |
| 151 | Zhudong Taiwan, Taiwan | 21.9 | |
| 151 | Saga Saga, Japan | 21.9 | |
| 151 | Ōmuta Fukuoka, Japan | 21.9 | |
| 151 | Baytown Texas, United States | 21.9 | |
| 155 | Kardítsa Thessaly, Greece | 21.8 | |
| 156 | Miyazaki Miyazaki, Japan | 21.7 | |
| 156 | Beppu Oita, Japan | 21.7 | |
| 156 | Missouri City Texas, United States | 21.7 | |
| 159 | Voluntari Ilfov, Romania | 21.6 | |
| 159 | Higashigō Saga, Japan | 21.6 | |
| 161 | Riga Riga, Latvia | 21.5 | |
| 161 | Chaozhou Taiwan, Taiwan | 21.5 | |
| 161 | Sau Mau Ping Kwun Tong District, Hong Kong | 21.5 | |
| 161 | Uto Kumamoto, Japan | 21.5 | |
| 161 | Tosu Saga, Japan | 21.5 | |
| 161 | Kashima Saga, Japan | 21.5 | |
| 167 | Kikuchi Kumamoto, Japan | 21.4 | |
| 167 | Camden low-cost sensors New Jersey, United States | 21.4 | |
| 169 | Daxi Taiwan, Taiwan | 21.3 | |
| 169 | Xizhi Taipei, Taiwan | 21.3 | |
| 169 | Zhubei Taiwan, Taiwan | 21.3 | |
| 172 | Taichung Taiwan, Taiwan | 21.2 | |
| 172 | Nichinan Miyazaki, Japan | 21.2 | |
| 172 | Kasuga Fukuoka, Japan | 21.2 | |
| 175 | Myyrmäki Uusimaa, Finland | 21.1 | |
| 175 | Ōzu Kumamoto, Japan | 21.1 | |
| 175 | Kanzakimachi-kanzaki Saga, Japan | 21.1 | |
| 175 | Porsgrunn Telemark, Norway | 21.1 | |
| 175 | Shreveport Louisiana, United States | 21.1 | |
| 180 | Vantaa Uusimaa, Finland | 20.9 | |
| 180 | Toufen Taiwan, Taiwan | 20.9 | |
| 180 | Buzi Taiwan, Taiwan | 20.9 | |
| 180 | Taylor Texas, United States | 20.9 | |
| 184 | Koga Fukuoka, Japan | 20.8 | |
| 184 | Wake Forest low-cost sensors North Carolina, United States | 20.8 | |
| 184 | Kotō Kumamoto, Japan | 20.8 | |
| 187 | Quezon City low-cost sensors National Capital Region, Philippines | 20.7 | |
| 187 | Morelia Michoacán, Mexico | 20.7 | |
| 189 | Talghar low-cost sensors Almaty Region, Kazakhstan | 20.6 | |
| 189 | Tamana Kumamoto, Japan | 20.6 | |
| 191 | Helsinki Uusimaa, Finland | 20.5 | |
| 191 | Mie Oita, Japan | 20.5 | |
| 191 | Pflugerville Texas, United States | 20.5 | |
| 191 | Taku Saga, Japan | 20.5 | |
| 195 | Yilan Taiwan, Taiwan | 20.4 | |
| 196 | Sha Tin Sha Tin, Hong Kong | 20.3 | |
| 196 | Victoria Central and Western, Hong Kong | 20.3 | |
| 196 | Pasadena Texas, United States | 20.3 | |
| 196 | Ogōri Fukuoka, Japan | 20.3 | |
| 200 | Onoda Yamaguchi, Japan | 20.2 |
Top 200 of 1,680 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