SmogRank / History / week of January 12, 2026
Most polluted cities, week of January 12, 2026
2,055 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 | Faisalabad low-cost sensors Punjab, Pakistan | 323.1 | |
| 2 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 258.9 | |
| 3 | Lahore low-cost sensors Punjab, Pakistan | 254.7 | |
| 4 | Multan low-cost sensors Punjab, Pakistan | 252.4 | |
| 5 | Delhi Delhi, India | 251.4 | |
| 6 | Gujranwala low-cost sensors Punjab, Pakistan | 243.7 | |
| 7 | Sialkot low-cost sensors Punjab, Pakistan | 238.9 | |
| 8 | Srinagar Jammu and Kashmir, India | 234.8 | |
| 9 | Bahawalpur low-cost sensors Punjab, Pakistan | 226.0 | |
| 10 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 187.0 | |
| 11 | Rawalpindi low-cost sensors Punjab, Pakistan | 182.3 | |
| 12 | Islamabad low-cost sensors Islamabad, Pakistan | 138.4 | |
| 13 | Pljevlja Pljevlja, Montenegro | 132.6 | |
| 14 | Hyderabad low-cost sensors Sindh, Pakistan | 128.9 | |
| 15 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 125.2 | |
| 16 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 124.1 | |
| 17 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 113.9 | |
| 18 | Târgu Mureş low-cost sensors Mureș County, Romania | 101.5 | |
| 19 | Karachi low-cost sensors Sindh, Pakistan | 100.6 | |
| 20 | Sighetu Marmaţiei Maramureş, Romania | 99.4 | |
| 21 | Travnik Federation of B&H, Bosnia and Herzegovina | 97.1 | |
| 22 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 84.8 | |
| 23 | Bijelo Polje Bijelo Polje, Montenegro | 84.1 | |
| 24 | Hyderabad Telangana, India | 80.8 | |
| 25 | Dej Cluj County, Romania | 73.9 | |
| 26 | Kumanovo Kumanovo, North Macedonia | 73.1 | |
| 27 | Strumica Strumica, North Macedonia | 72.6 | |
| 28 | Banja Luka Srpska, Bosnia and Herzegovina | 71.6 | |
| 29 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 70.6 | |
| 30 | Kathmandu low-cost sensors Bagmati Province, Nepal | 68.2 | |
| 31 | Târgu Jiu Gorj County, Romania | 68.0 | |
| 32 | Bitola Bitola, North Macedonia | 67.4 | |
| 33 | Dushanbe Dushanbe, Tajikistan | 67.0 | |
| 34 | Gostivar Gostivar, North Macedonia | 64.5 | |
| 35 | Wangaratta Victoria, Australia | 64.0 | |
| 36 | Żywiec Silesia, Poland | 60.9 | |
| 37 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 59.2 | |
| 38 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 58.1 | |
| 39 | Sai Mai low-cost sensors Bangkok, Thailand | 57.9 | |
| 40 | Kardítsa Thessaly, Greece | 57.5 | |
| 40 | Lagos low-cost sensors Lagos, Nigeria | 57.5 | |
| 42 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 57.3 | |
| 43 | Talghar low-cost sensors Almaty Region, Kazakhstan | 55.9 | |
| 44 | Quetta low-cost sensors Balochistan, Pakistan | 55.0 | |
| 45 | Otwock Mazovia, Poland | 54.8 | |
| 46 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 53.9 | |
| 47 | Gorzów Wielkopolski Lubusz, Poland | 52.6 | |
| 48 | Bangkok low-cost sensors Bangkok, Thailand | 52.3 | |
| 48 | Tulare low-cost sensors California, United States | 52.3 | |
| 50 | Delano low-cost sensors California, United States | 52.1 | |
| 51 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 51.8 | |
| 52 | Ilinden Ilinden, North Macedonia | 51.0 | |
| 53 | Zagreb low-cost sensors Zagreb, Croatia | 50.5 | |
| 54 | Zamość Lublin, Poland | 50.1 | |
| 55 | Skopje Grad Skopje, North Macedonia | 49.9 | |
| 56 | Burunday low-cost sensors Almaty Region, Kazakhstan | 48.9 | |
| 57 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 48.0 | |
| 58 | Czechowice-Dziedzice Silesia, Poland | 47.3 | |
| 59 | Tarnów Lesser Poland, Poland | 46.7 | |
| 60 | Changchun low-cost sensors Jilin, China | 46.6 | |
| 61 | Kłodzko Lower Silesia, Poland | 46.5 | |
| 62 | Prilep Prilep, North Macedonia | 46.3 | |
| 63 | Legionowo Mazovia, Poland | 45.6 | |
| 64 | Przemyśl Subcarpathia, Poland | 45.4 | |
| 65 | Tema low-cost sensors Greater Accra, Ghana | 45.2 | |
| 66 | Murree low-cost sensors Punjab, Pakistan | 44.9 | |
| 67 | Kraków Lesser Poland, Poland | 44.7 | |
| 68 | Kalisz Greater Poland, Poland | 44.2 | |
| 69 | Ashaiman low-cost sensors Greater Accra, Ghana | 43.9 | |
| 70 | Dębica Subcarpathia, Poland | 43.8 | |
| 71 | Almaty low-cost sensors Almaty, Kazakhstan | 43.7 | |
| 72 | Opole Opole Voivodeship, Poland | 43.5 | |
| 73 | Włocławek Kujawsko-Pomorskie, Poland | 43.4 | |
| 74 | Lublin Lublin, Poland | 43.1 | |
| 74 | Phuntsholing low-cost sensors Chukha, Bhutan | 43.1 | |
| 76 | Buftea Ilfov, Romania | 42.9 | |
| 77 | Dubai low-cost sensors Dubai, United Arab Emirates | 42.8 | |
| 77 | Stodůlky low-cost sensors Prague, Czechia | 42.8 | |
| 77 | Jastrzębie Zdrój Silesia, Poland | 42.8 | |
| 80 | Olsztyn Warmia-Masuria, Poland | 42.6 | |
| 81 | Poznań Greater Poland, Poland | 42.5 | |
| 82 | Quezon City low-cost sensors National Capital Region, Philippines | 42.4 | |
| 83 | Suceava Suceava, Romania | 42.2 | |
| 84 | Lárisa Thessaly, Greece | 42.0 | |
| 85 | Ciechanów Mazovia, Poland | 41.8 | |
| 86 | Ptuj Urban Municipality of Ptuj, Slovenia | 40.9 | |
| 87 | Esztergom Komárom-Esztergom, Hungary | 40.7 | |
| 88 | Tríkala Thessaly, Greece | 40.5 | |
| 88 | Říčany low-cost sensors Central Bohemia, Czechia | 40.5 | |
| 90 | Ohrid Ohrid, North Macedonia | 39.8 | |
| 91 | Nisko Subcarpathia, Poland | 39.7 | |
| 92 | Győr Győr-Moson-Sopron, Hungary | 39.5 | |
| 93 | Voluntari Ilfov, Romania | 39.4 | |
| 94 | Yerevan low-cost sensors Yerevan, Armenia | 39.0 | |
| 94 | Konstancin-Jeziorna Mazovia, Poland | 39.0 | |
| 96 | Cluj-Napoca Cluj County, Romania | 38.9 | |
| 97 | Radomsko Łódź Voivodeship, Poland | 38.7 | |
| 98 | Wrocław Lower Silesia, Poland | 38.4 | |
| 99 | Starachowice Świętokrzyskie, Poland | 38.3 | |
| 99 | Medina Estates low-cost sensors Greater Accra, Ghana | 38.3 | |
| 101 | Warsaw Mazovia, Poland | 38.2 | |
| 102 | Tuen Mun Tuen Mun, Hong Kong | 38.1 | |
| 103 | Graz Styria, Austria | 37.9 | |
| 103 | Gdańsk Pomerania, Poland | 37.9 | |
| 105 | Iaşi Iași County, Romania | 37.8 | |
| 106 | Toruń Kujawsko-Pomorskie, Poland | 37.1 | |
| 106 | Nikšić Opština Nikšić, Montenegro | 37.1 | |
| 108 | Pruszków Mazovia, Poland | 36.6 | |
| 108 | Zgierz Łódź Voivodeship, Poland | 36.6 | |
| 110 | Piatra Neamţ Neamț County, Romania | 36.3 | |
| 110 | Craiova Dolj, Romania | 36.3 | |
| 112 | Tlaquepaque Jalisco, Mexico | 36.1 | |
| 113 | Rzeszów Subcarpathia, Poland | 36.0 | |
| 113 | Łask Łódź Voivodeship, Poland | 36.0 | |
| 115 | Rēzekne Rēzekne, Latvia | 35.8 | |
| 116 | Manlleu Catalonia, Spain | 35.7 | |
| 117 | Zalău Sălaj County, Romania | 35.5 | |
| 117 | Elbląg Warmia-Masuria, Poland | 35.5 | |
| 119 | Suwałki Podlasie, Poland | 35.4 | |
| 120 | Ełk Warmia-Masuria, Poland | 35.3 | |
| 120 | Białystok Podlasie, Poland | 35.3 | |
| 120 | Elk Grove low-cost sensors California, United States | 35.3 | |
| 123 | Wolfsberg Carinthia, Austria | 35.2 | |
| 123 | Pécs Baranya, Hungary | 35.2 | |
| 125 | Bakersfield California, United States | 35.0 | |
| 126 | Żyrardów Mazovia, Poland | 34.8 | |
| 126 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 34.8 | |
| 128 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 34.7 | |
| 128 | Wan Chai Wan Chai, Hong Kong | 34.7 | |
| 130 | Hacienda Santa Fe Jalisco, Mexico | 34.6 | |
| 131 | Ventspils Ventspils, Latvia | 34.5 | |
| 131 | Augustów Podlasie, Poland | 34.5 | |
| 131 | Maribor Urban Municipality of Maribor, Slovenia | 34.5 | |
| 134 | Zielona Góra Lubusz, Poland | 34.1 | |
| 135 | Douliu Taiwan, Taiwan | 34.0 | |
| 136 | Tin Shui Wai Yuen Long, Hong Kong | 33.9 | |
| 137 | Radom Mazovia, Poland | 33.7 | |
| 137 | Accra low-cost sensors Greater Accra, Ghana | 33.7 | |
| 137 | Gyál Pest County, Hungary | 33.7 | |
| 140 | Budapest Budapest, Hungary | 33.6 | |
| 141 | Fanling North District, Hong Kong | 33.5 | |
| 141 | Fresno California, United States | 33.5 | |
| 143 | Jarosław Subcarpathia, Poland | 33.4 | |
| 144 | Gorizia Friuli Venezia Giulia, Italy | 33.3 | |
| 145 | Guadalajara Jalisco, Mexico | 33.1 | |
| 146 | Bydgoszcz Kujawsko-Pomorskie, Poland | 33.0 | |
| 147 | Popeşti-Leordeni Ilfov, Romania | 32.9 | |
| 148 | Sukuta low-cost sensors Western, Gambia | 32.8 | |
| 149 | Koper Urban Municipality of Koper, Slovenia | 32.6 | |
| 150 | Bucharest Bucharest, Romania | 32.3 | |
| 150 | Xonacatlán México, Mexico | 32.3 | |
| 152 | Ziguinchor low-cost sensors Ziguinchor, Senegal | 32.0 | |
| 153 | Volos Thessaly, Greece | 31.8 | |
| 154 | Gdynia Pomerania, Poland | 31.7 | |
| 155 | Sopot Pomerania, Poland | 31.6 | |
| 155 | Racibórz Silesia, Poland | 31.6 | |
| 157 | Erlun Taiwan, Taiwan | 31.0 | |
| 157 | Mong Kok Yau Tsim Mong District, Hong Kong | 31.0 | |
| 159 | Sham Shui Po Sham Shui Po District, Hong Kong | 30.9 | |
| 160 | Płock Mazovia, Poland | 30.8 | |
| 160 | Visalia California, United States | 30.8 | |
| 162 | Yongkang Taiwan, Taiwan | 30.7 | |
| 163 | Brzeg Opole Voivodeship, Poland | 30.6 | |
| 164 | Kochani Kochani, North Macedonia | 30.5 | |
| 164 | Modesto California, United States | 30.5 | |
| 166 | Jincheng Fukien, Taiwan | 30.4 | |
| 166 | Chiayi City Taiwan, Taiwan | 30.4 | |
| 166 | San Tung Chung Hang Islands, Hong Kong | 30.4 | |
| 169 | Katowice Silesia, Poland | 30.3 | |
| 170 | Lilongwe low-cost sensors Central Region, Malawi | 30.1 | |
| 171 | Calafat Dolj, Romania | 29.9 | |
| 171 | Florin low-cost sensors California, United States | 29.9 | |
| 173 | Xinying Taiwan, Taiwan | 29.8 | |
| 174 | Łódź Łódź Voivodeship, Poland | 29.7 | |
| 175 | Żary Lubusz, Poland | 29.6 | |
| 176 | Tainan Taiwan, Taiwan | 29.5 | |
| 177 | Kędzierzyn-Koźle Opole Voivodeship, Poland | 29.2 | |
| 178 | Fengshan Takao, Taiwan | 29.1 | |
| 179 | Veszprém Veszprém, Hungary | 29.0 | |
| 180 | Wawer Mazovia, Poland | 28.8 | |
| 181 | Novo Mesto Urban Municipality of Novo Mesto, Slovenia | 28.6 | |
| 181 | Hanford California, United States | 28.6 | |
| 183 | Szczecin West Pomerania, Poland | 28.5 | |
| 184 | Haskovo low-cost sensors Haskovo, Bulgaria | 28.4 | |
| 184 | Kaohsiung Takao, Taiwan | 28.4 | |
| 186 | Beigang Taiwan, Taiwan | 28.2 | |
| 186 | Iloilo low-cost sensors Western Visayas, Philippines | 28.2 | |
| 186 | Tai Po Tai Po, Hong Kong | 28.2 | |
| 189 | Klosterneuburg Lower Austria, Austria | 28.0 | |
| 190 | Yuanlin Taiwan, Taiwan | 27.9 | |
| 191 | Ruse Ruse, Bulgaria | 27.7 | |
| 191 | Ciudad Nezahualcoyotl México, Mexico | 27.7 | |
| 191 | Millcreek Utah, United States | 27.7 | |
| 194 | Victoria Central and Western, Hong Kong | 27.6 | |
| 194 | Jelenia Góra Lower Silesia, Poland | 27.6 | |
| 196 | Kwai Chung Kwai Tsing District, Hong Kong | 27.5 | |
| 196 | Dunaújváros Fejér, Hungary | 27.5 | |
| 198 | Mielec Subcarpathia, Poland | 27.4 | |
| 199 | Vienna Vienna, Austria | 27.3 | |
| 200 | Stockton California, United States | 27.2 |
Top 200 of 2,055 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