SmogRank / History / January 13, 2026
Most polluted cities on January 13, 2026
2,083 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 | 402.0 | |
| 2 | Multan low-cost sensors Punjab, Pakistan | 303.0 | |
| 3 | Bahawalpur low-cost sensors Punjab, Pakistan | 266.0 | |
| 4 | Delhi Delhi, India | 260.0 | |
| 5 | Gujranwala low-cost sensors Punjab, Pakistan | 234.0 | |
| 6 | Lahore low-cost sensors Punjab, Pakistan | 230.0 | |
| 7 | Srinagar Jammu and Kashmir, India | 226.5 | |
| 8 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 222.0 | |
| 9 | Rawalpindi low-cost sensors Punjab, Pakistan | 204.0 | |
| 10 | Sialkot low-cost sensors Punjab, Pakistan | 201.0 | |
| 11 | Pljevlja Pljevlja, Montenegro | 186.0 | |
| 12 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 185.0 | |
| 13 | Islamabad low-cost sensors Islamabad, Pakistan | 180.0 | |
| 14 | Hyderabad low-cost sensors Sindh, Pakistan | 147.0 | |
| 15 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 119.0 | |
| 16 | Wangaratta Victoria, Australia | 116.0 | |
| 17 | Karachi low-cost sensors Sindh, Pakistan | 115.0 | |
| 18 | Târgu Mureş low-cost sensors Mureș County, Romania | 102.0 | |
| 18 | Bijelo Polje Bijelo Polje, Montenegro | 102.0 | |
| 20 | Travnik Federation of B&H, Bosnia and Herzegovina | 101.0 | |
| 21 | Kathmandu low-cost sensors Bagmati Province, Nepal | 92.4 | |
| 22 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 91.6 | |
| 23 | Zamość Lublin, Poland | 89.1 | |
| 24 | Banja Luka Srpska, Bosnia and Herzegovina | 88.1 | |
| 25 | Baia Mare Maramureş, Romania | 79.6 | |
| 26 | Lublin Lublin, Poland | 76.8 | |
| 27 | Bitola Bitola, North Macedonia | 75.9 | |
| 28 | Sighetu Marmaţiei Maramureş, Romania | 73.8 | |
| 29 | Dubai low-cost sensors Dubai, United Arab Emirates | 73.1 | |
| 30 | Talghar low-cost sensors Almaty Region, Kazakhstan | 72.3 | |
| 31 | Otwock Mazovia, Poland | 71.4 | |
| 32 | Hyderabad Telangana, India | 69.3 | |
| 33 | Târgu Jiu Gorj County, Romania | 68.8 | |
| 34 | Kumanovo Kumanovo, North Macedonia | 68.3 | |
| 34 | Quetta low-cost sensors Balochistan, Pakistan | 68.3 | |
| 36 | Gostivar Gostivar, North Macedonia | 67.8 | |
| 37 | Przemyśl Subcarpathia, Poland | 66.9 | |
| 38 | Strumica Strumica, North Macedonia | 66.6 | |
| 38 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 66.6 | |
| 40 | Gorzów Wielkopolski Lubusz, Poland | 66.0 | |
| 41 | San Tung Chung Hang Islands, Hong Kong | 65.9 | |
| 42 | Říčany low-cost sensors Central Bohemia, Czechia | 65.4 | |
| 43 | Kalisz Greater Poland, Poland | 65.3 | |
| 44 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 65.1 | |
| 45 | Olsztyn Warmia-Masuria, Poland | 65.0 | |
| 46 | Poznań Greater Poland, Poland | 64.9 | |
| 47 | Burunday low-cost sensors Almaty Region, Kazakhstan | 64.7 | |
| 48 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 64.4 | |
| 49 | Lagos low-cost sensors Lagos, Nigeria | 63.9 | |
| 50 | Radomsko Łódź Voivodeship, Poland | 63.3 | |
| 51 | Stodůlky low-cost sensors Prague, Czechia | 62.9 | |
| 52 | Starachowice Świętokrzyskie, Poland | 62.7 | |
| 53 | Dej Cluj County, Romania | 60.6 | |
| 54 | Almaty low-cost sensors Almaty, Kazakhstan | 59.2 | |
| 55 | Prilep Prilep, North Macedonia | 58.7 | |
| 56 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 57.5 | |
| 57 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 57.2 | |
| 57 | Nisko Subcarpathia, Poland | 57.2 | |
| 59 | Tlaquepaque Jalisco, Mexico | 57.0 | |
| 60 | Sai Mai low-cost sensors Bangkok, Thailand | 56.4 | |
| 61 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 56.3 | |
| 61 | Tuen Mun Tuen Mun, Hong Kong | 56.3 | |
| 63 | Konstancin-Jeziorna Mazovia, Poland | 54.7 | |
| 64 | Macon Georgia, United States | 54.5 | |
| 65 | Bangkok low-cost sensors Bangkok, Thailand | 53.9 | |
| 66 | Tin Shui Wai Yuen Long, Hong Kong | 53.6 | |
| 66 | Włocławek Kujawsko-Pomorskie, Poland | 53.6 | |
| 66 | Czechowice-Dziedzice Silesia, Poland | 53.6 | |
| 69 | Legionowo Mazovia, Poland | 53.2 | |
| 70 | Zalău Sălaj County, Romania | 53.1 | |
| 71 | Wolfsberg Carinthia, Austria | 52.1 | |
| 72 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 51.0 | |
| 73 | Ashaiman low-cost sensors Greater Accra, Ghana | 50.1 | |
| 74 | Żyrardów Mazovia, Poland | 50.0 | |
| 75 | Białystok Podlasie, Poland | 49.8 | |
| 75 | Tema low-cost sensors Greater Accra, Ghana | 49.8 | |
| 77 | Delano low-cost sensors California, United States | 49.6 | |
| 78 | Sham Shui Po Sham Shui Po District, Hong Kong | 49.1 | |
| 78 | Tulare low-cost sensors California, United States | 49.1 | |
| 80 | Pruszków Mazovia, Poland | 49.0 | |
| 81 | Mong Kok Yau Tsim Mong District, Hong Kong | 48.9 | |
| 82 | Ciechanów Mazovia, Poland | 48.8 | |
| 83 | Augusta Georgia, United States | 48.6 | |
| 84 | Wan Chai Wan Chai, Hong Kong | 48.3 | |
| 85 | Radom Mazovia, Poland | 48.2 | |
| 86 | Buftea Ilfov, Romania | 48.1 | |
| 87 | Ełk Warmia-Masuria, Poland | 47.8 | |
| 88 | Guadalajara Jalisco, Mexico | 47.7 | |
| 89 | Łask Łódź Voivodeship, Poland | 47.6 | |
| 90 | Kwai Chung Kwai Tsing District, Hong Kong | 47.4 | |
| 90 | Nikšić Opština Nikšić, Montenegro | 47.4 | |
| 92 | Warsaw Mazovia, Poland | 47.2 | |
| 92 | Kraków Lesser Poland, Poland | 47.2 | |
| 94 | Codlea Brașov County, Romania | 46.0 | |
| 95 | Fanling North District, Hong Kong | 45.2 | |
| 95 | Victoria Central and Western, Hong Kong | 45.2 | |
| 97 | Ptuj Urban Municipality of Ptuj, Slovenia | 45.1 | |
| 98 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 44.9 | |
| 99 | Tsuen Wan Tsuen Wan, Hong Kong | 44.6 | |
| 100 | Kampala low-cost sensors Central Region, Uganda | 44.3 | |
| 100 | Skopje Grad Skopje, North Macedonia | 44.3 | |
| 102 | Zielona Góra Lubusz, Poland | 44.1 | |
| 103 | Gdańsk Pomerania, Poland | 43.9 | |
| 104 | Tarnów Lesser Poland, Poland | 43.7 | |
| 104 | Tai Po Tai Po, Hong Kong | 43.7 | |
| 106 | Ventspils Ventspils, Latvia | 43.5 | |
| 107 | Murree low-cost sensors Punjab, Pakistan | 42.8 | |
| 108 | Dębica Subcarpathia, Poland | 42.2 | |
| 109 | Augustów Podlasie, Poland | 42.0 | |
| 109 | Manlleu Catalonia, Spain | 42.0 | |
| 111 | Toruń Kujawsko-Pomorskie, Poland | 41.7 | |
| 112 | Jarosław Subcarpathia, Poland | 41.6 | |
| 113 | Suwałki Podlasie, Poland | 41.5 | |
| 113 | Ziguinchor low-cost sensors Ziguinchor, Senegal | 41.5 | |
| 115 | Ilinden Ilinden, North Macedonia | 41.4 | |
| 115 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 41.4 | |
| 117 | Medina Estates low-cost sensors Greater Accra, Ghana | 41.1 | |
| 118 | Sha Tin Sha Tin, Hong Kong | 40.9 | |
| 119 | Gorizia Friuli Venezia Giulia, Italy | 40.7 | |
| 120 | Bydgoszcz Kujawsko-Pomorskie, Poland | 40.6 | |
| 121 | Zgierz Łódź Voivodeship, Poland | 40.3 | |
| 121 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 40.3 | |
| 123 | Molina de Segura Murcia, Spain | 40.2 | |
| 123 | Graz Styria, Austria | 40.2 | |
| 125 | Lárisa Thessaly, Greece | 40.0 | |
| 126 | Murcia Murcia, Spain | 39.5 | |
| 127 | Kielce Świętokrzyskie, Poland | 39.2 | |
| 128 | Győr Győr-Moson-Sopron, Hungary | 39.1 | |
| 129 | Dushanbe Dushanbe, Tajikistan | 39.0 | |
| 130 | Craiova Dolj, Romania | 38.6 | |
| 131 | Aberdeen Southern District, Hong Kong | 38.4 | |
| 132 | Esztergom Komárom-Esztergom, Hungary | 37.7 | |
| 133 | Wawer Mazovia, Poland | 37.2 | |
| 134 | Wrocław Lower Silesia, Poland | 36.9 | |
| 134 | Płock Mazovia, Poland | 36.9 | |
| 134 | Zagreb low-cost sensors Zagreb, Croatia | 36.9 | |
| 137 | Kłodzko Lower Silesia, Poland | 36.8 | |
| 138 | Gyál Pest County, Hungary | 36.6 | |
| 138 | Elbląg Warmia-Masuria, Poland | 36.6 | |
| 140 | Accra low-cost sensors Greater Accra, Ghana | 36.4 | |
| 141 | Suceava Suceava, Romania | 36.2 | |
| 141 | Kochani Kochani, North Macedonia | 36.2 | |
| 143 | Wels Upper Austria, Austria | 36.1 | |
| 143 | Sopot Pomerania, Poland | 36.1 | |
| 145 | Valdosta Georgia, United States | 35.9 | |
| 146 | Budapest Budapest, Hungary | 35.4 | |
| 147 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 35.3 | |
| 148 | Voluntari Ilfov, Romania | 35.1 | |
| 149 | Sau Mau Ping Kwun Tong District, Hong Kong | 34.9 | |
| 150 | Phuntsholing low-cost sensors Chukha, Bhutan | 34.7 | |
| 150 | Quezon City low-cost sensors National Capital Region, Philippines | 34.7 | |
| 150 | Bakersfield California, United States | 34.7 | |
| 153 | Cluj-Napoca Cluj County, Romania | 34.6 | |
| 153 | Gevgelija Gevgelija, North Macedonia | 34.6 | |
| 155 | Łódź Łódź Voivodeship, Poland | 34.2 | |
| 156 | Visalia California, United States | 34.1 | |
| 157 | Szczecin West Pomerania, Poland | 34.0 | |
| 158 | Modesto California, United States | 33.9 | |
| 158 | Millcreek Utah, United States | 33.9 | |
| 160 | Fresno California, United States | 33.8 | |
| 161 | Douliu Taiwan, Taiwan | 33.7 | |
| 162 | Perchtoldsdorf Lower Austria, Austria | 33.5 | |
| 162 | Hacienda Santa Fe Jalisco, Mexico | 33.5 | |
| 164 | Piatra Neamţ Neamț County, Romania | 33.3 | |
| 164 | Opole Opole Voivodeship, Poland | 33.3 | |
| 166 | Veszprém Veszprém, Hungary | 32.9 | |
| 167 | Mielec Subcarpathia, Poland | 32.4 | |
| 167 | West Jordan Utah, United States | 32.4 | |
| 169 | Rēzekne Rēzekne, Latvia | 32.1 | |
| 169 | Vienna Vienna, Austria | 32.1 | |
| 171 | Elk Grove low-cost sensors California, United States | 31.6 | |
| 172 | Mödling Lower Austria, Austria | 30.8 | |
| 173 | Erlun Taiwan, Taiwan | 30.5 | |
| 174 | Jincheng Fukien, Taiwan | 30.4 | |
| 175 | Yongkang Taiwan, Taiwan | 30.2 | |
| 175 | Xinying Taiwan, Taiwan | 30.2 | |
| 177 | Linz Upper Austria, Austria | 29.9 | |
| 177 | Klosterneuburg Lower Austria, Austria | 29.9 | |
| 179 | Ansfelden Upper Austria, Austria | 29.7 | |
| 180 | Katowice Silesia, Poland | 29.6 | |
| 181 | Salt Lake City Utah, United States | 29.3 | |
| 182 | Fengshan Takao, Taiwan | 29.2 | |
| 183 | Manteca California, United States | 28.9 | |
| 184 | Braşov Brașov County, Romania | 28.8 | |
| 184 | Chiayi City Taiwan, Taiwan | 28.8 | |
| 186 | Riga Riga, Latvia | 28.7 | |
| 186 | Klagenfurt am Wörthersee Carinthia, Austria | 28.7 | |
| 188 | Tralee Munster, Ireland | 28.6 | |
| 188 | Ljubljana Ljubljana, Slovenia | 28.6 | |
| 188 | West Valley City Utah, United States | 28.6 | |
| 191 | Stockton California, United States | 28.1 | |
| 192 | Bucharest Bucharest, Romania | 28.0 | |
| 193 | Alcantarilla Murcia, Spain | 27.9 | |
| 193 | Traun Upper Austria, Austria | 27.9 | |
| 195 | Kaohsiung Takao, Taiwan | 27.7 | |
| 195 | Pécs Baranya, Hungary | 27.7 | |
| 197 | Sacramento California, United States | 27.6 | |
| 198 | Beigang Taiwan, Taiwan | 27.5 | |
| 199 | Schwedt (Oder) Brandenburg, Germany | 27.4 | |
| 199 | Kościerzyna Pomerania, Poland | 27.4 |
Top 200 of 2,083 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