SmogRank / History / January 16, 2026
Most polluted cities on January 16, 2026
2,141 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 302.0 | |
| 2 | Sialkot low-cost sensors Punjab, Pakistan | 285.0 | |
| 3 | Multan low-cost sensors Punjab, Pakistan | 283.0 | |
| 4 | Faisalabad low-cost sensors Punjab, Pakistan | 274.0 | |
| 5 | Srinagar Jammu and Kashmir, India | 260.5 | |
| 6 | Gujranwala low-cost sensors Punjab, Pakistan | 244.0 | |
| 7 | Lahore low-cost sensors Punjab, Pakistan | 240.5 | |
| 8 | Delhi Delhi, India | 220.0 | |
| 9 | Bahawalpur low-cost sensors Punjab, Pakistan | 208.5 | |
| 10 | Rawalpindi low-cost sensors Punjab, Pakistan | 195.0 | |
| 11 | Pljevlja Pljevlja, Montenegro | 159.0 | |
| 12 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 133.0 | |
| 13 | Islamabad low-cost sensors Islamabad, Pakistan | 131.0 | |
| 14 | Banja Luka Srpska, Bosnia and Herzegovina | 129.0 | |
| 15 | Kumanovo Kumanovo, North Macedonia | 114.0 | |
| 16 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 111.0 | |
| 17 | Karachi low-cost sensors Sindh, Pakistan | 103.0 | |
| 18 | Veles Veles, North Macedonia | 89.2 | |
| 19 | Bijelo Polje Bijelo Polje, Montenegro | 86.6 | |
| 20 | Sighetu Marmaţiei Maramureş, Romania | 86.1 | |
| 21 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 85.6 | |
| 22 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 85.0 | |
| 23 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 84.4 | |
| 24 | Hyderabad Telangana, India | 83.0 | |
| 25 | Bitola Bitola, North Macedonia | 82.1 | |
| 26 | Dushanbe Dushanbe, Tajikistan | 80.9 | |
| 27 | Changchun low-cost sensors Jilin, China | 77.8 | |
| 28 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 77.6 | |
| 29 | Târgu Jiu Gorj County, Romania | 76.1 | |
| 30 | Gostivar Gostivar, North Macedonia | 76.0 | |
| 31 | Travnik Federation of B&H, Bosnia and Herzegovina | 75.4 | |
| 32 | Gorzów Wielkopolski Lubusz, Poland | 74.8 | |
| 33 | Ilinden Ilinden, North Macedonia | 73.8 | |
| 34 | Kavadarci Kavadarci, North Macedonia | 70.5 | |
| 35 | Târgu Mureş low-cost sensors Mureș County, Romania | 69.2 | |
| 36 | Kardítsa Thessaly, Greece | 68.4 | |
| 37 | Żywiec Silesia, Poland | 68.1 | |
| 38 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 67.9 | |
| 39 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 65.9 | |
| 40 | Skopje Grad Skopje, North Macedonia | 65.7 | |
| 41 | Pécs Baranya, Hungary | 64.3 | |
| 42 | Győr Győr-Moson-Sopron, Hungary | 63.8 | |
| 43 | Hyderabad low-cost sensors Sindh, Pakistan | 63.1 | |
| 44 | Sai Mai low-cost sensors Bangkok, Thailand | 62.9 | |
| 45 | Tulare low-cost sensors California, United States | 61.4 | |
| 46 | Jastrzębie Zdrój Silesia, Poland | 60.6 | |
| 47 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 60.3 | |
| 48 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 59.6 | |
| 49 | Delano low-cost sensors California, United States | 59.0 | |
| 50 | Quezon City low-cost sensors National Capital Region, Philippines | 58.9 | |
| 51 | Rzeszów Subcarpathia, Poland | 58.5 | |
| 52 | Koper Urban Municipality of Koper, Slovenia | 57.5 | |
| 53 | Guadalajara Jalisco, Mexico | 57.3 | |
| 54 | Lagos low-cost sensors Lagos, Nigeria | 56.6 | |
| 55 | Ohrid Ohrid, North Macedonia | 56.2 | |
| 56 | Kathmandu low-cost sensors Bagmati Province, Nepal | 55.0 | |
| 56 | Zagreb low-cost sensors Zagreb, Croatia | 55.0 | |
| 58 | Lárisa Thessaly, Greece | 54.7 | |
| 59 | Otwock Mazovia, Poland | 54.4 | |
| 60 | Bangkok low-cost sensors Bangkok, Thailand | 54.3 | |
| 61 | Tríkala Thessaly, Greece | 52.5 | |
| 62 | Czechowice-Dziedzice Silesia, Poland | 52.3 | |
| 63 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 51.5 | |
| 64 | Poznań Greater Poland, Poland | 51.0 | |
| 65 | Stodůlky low-cost sensors Prague, Czechia | 50.7 | |
| 66 | Tarnów Lesser Poland, Poland | 50.6 | |
| 67 | Gdańsk Pomerania, Poland | 49.9 | |
| 68 | Kłodzko Lower Silesia, Poland | 49.8 | |
| 69 | Graz Styria, Austria | 49.0 | |
| 70 | Sopot Pomerania, Poland | 48.6 | |
| 71 | Dunaújváros Fejér, Hungary | 48.3 | |
| 72 | Murree low-cost sensors Punjab, Pakistan | 48.2 | |
| 73 | Suceava Suceava, Romania | 48.0 | |
| 73 | Piatra Neamţ Neamț County, Romania | 48.0 | |
| 75 | Phuntsholing low-cost sensors Chukha, Bhutan | 47.5 | |
| 76 | Budapest Budapest, Hungary | 47.1 | |
| 77 | Toruń Kujawsko-Pomorskie, Poland | 46.5 | |
| 78 | Gdynia Pomerania, Poland | 46.3 | |
| 79 | Gyál Pest County, Hungary | 46.2 | |
| 80 | Zielona Góra Lubusz, Poland | 46.0 | |
| 81 | Włocławek Kujawsko-Pomorskie, Poland | 45.9 | |
| 82 | Jelenia Góra Lower Silesia, Poland | 45.8 | |
| 83 | Kalisz Greater Poland, Poland | 45.7 | |
| 83 | Podgorica Podgorica, Montenegro | 45.7 | |
| 85 | Tlaquepaque Jalisco, Mexico | 44.8 | |
| 85 | Hacienda Santa Fe Jalisco, Mexico | 44.8 | |
| 87 | Dębica Subcarpathia, Poland | 44.3 | |
| 87 | Tema low-cost sensors Greater Accra, Ghana | 44.3 | |
| 89 | Volos Thessaly, Greece | 44.2 | |
| 90 | Legionowo Mazovia, Poland | 44.1 | |
| 91 | Suwałki Podlasie, Poland | 44.0 | |
| 92 | Ciechanów Mazovia, Poland | 43.9 | |
| 93 | Ashaiman low-cost sensors Greater Accra, Ghana | 43.8 | |
| 94 | Warsaw Mazovia, Poland | 43.7 | |
| 95 | Przemyśl Subcarpathia, Poland | 43.5 | |
| 95 | Kochani Kochani, North Macedonia | 43.5 | |
| 97 | Szeged Csongrád, Hungary | 43.4 | |
| 98 | Gorizia Friuli Venezia Giulia, Italy | 43.2 | |
| 99 | Żyrardów Mazovia, Poland | 42.7 | |
| 99 | Říčany low-cost sensors Central Bohemia, Czechia | 42.7 | |
| 101 | Konstancin-Jeziorna Mazovia, Poland | 42.1 | |
| 102 | Nikšić Opština Nikšić, Montenegro | 41.8 | |
| 103 | Zamość Lublin, Poland | 41.5 | |
| 104 | Pruszków Mazovia, Poland | 41.3 | |
| 104 | Olsztyn Warmia-Masuria, Poland | 41.3 | |
| 104 | Esztergom Komárom-Esztergom, Hungary | 41.3 | |
| 107 | Iaşi Iași County, Romania | 41.1 | |
| 108 | Szczecin West Pomerania, Poland | 41.0 | |
| 109 | Ventspils Ventspils, Latvia | 40.3 | |
| 110 | Białystok Podlasie, Poland | 40.1 | |
| 111 | Calafat Dolj, Romania | 40.0 | |
| 112 | Wrocław Lower Silesia, Poland | 39.6 | |
| 113 | Augustów Podlasie, Poland | 39.4 | |
| 114 | Kraków Lesser Poland, Poland | 39.0 | |
| 115 | Medina Estates low-cost sensors Greater Accra, Ghana | 38.7 | |
| 115 | Xonacatlán México, Mexico | 38.7 | |
| 117 | Bydgoszcz Kujawsko-Pomorskie, Poland | 38.6 | |
| 118 | Lublin Lublin, Poland | 38.5 | |
| 118 | Elk Grove low-cost sensors California, United States | 38.5 | |
| 120 | Ciudad Nezahualcoyotl México, Mexico | 38.4 | |
| 121 | Yerevan low-cost sensors Yerevan, Armenia | 38.3 | |
| 121 | Płock Mazovia, Poland | 38.3 | |
| 123 | Maribor Urban Municipality of Maribor, Slovenia | 38.1 | |
| 123 | San Luis Potosí San Luis Potosí, Mexico | 38.1 | |
| 125 | Radom Mazovia, Poland | 38.0 | |
| 125 | Ełk Warmia-Masuria, Poland | 38.0 | |
| 127 | Elbląg Warmia-Masuria, Poland | 37.8 | |
| 128 | Bakersfield California, United States | 37.7 | |
| 129 | Wolfsberg Carinthia, Austria | 37.3 | |
| 130 | Modesto California, United States | 37.1 | |
| 131 | Fresno California, United States | 37.0 | |
| 132 | Jincheng Fukien, Taiwan | 36.5 | |
| 133 | Tuen Mun Tuen Mun, Hong Kong | 36.3 | |
| 134 | Lilongwe low-cost sensors Central Region, Malawi | 36.2 | |
| 135 | Żary Lubusz, Poland | 35.6 | |
| 136 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 35.5 | |
| 137 | Manlleu Catalonia, Spain | 35.4 | |
| 138 | Lugano Ticino, Switzerland | 35.1 | |
| 138 | Opole Opole Voivodeship, Poland | 35.1 | |
| 140 | Nisko Subcarpathia, Poland | 35.0 | |
| 140 | Wan Chai Wan Chai, Hong Kong | 35.0 | |
| 142 | Ruse Ruse, Bulgaria | 34.8 | |
| 143 | Visalia California, United States | 34.5 | |
| 144 | Devínska Nová Ves Bratislava Region, Slovakia | 34.3 | |
| 144 | Racibórz Silesia, Poland | 34.3 | |
| 146 | Accra low-cost sensors Greater Accra, Ghana | 34.1 | |
| 147 | Rēzekne Rēzekne, Latvia | 33.9 | |
| 148 | Starachowice Świętokrzyskie, Poland | 33.7 | |
| 149 | Katowice Silesia, Poland | 33.6 | |
| 150 | Talghar low-cost sensors Almaty Region, Kazakhstan | 33.5 | |
| 151 | Jarosław Subcarpathia, Poland | 33.3 | |
| 152 | Schwedt (Oder) Brandenburg, Germany | 32.9 | |
| 153 | Veszprém Veszprém, Hungary | 32.7 | |
| 153 | Zgierz Łódź Voivodeship, Poland | 32.7 | |
| 155 | Winterthur low-cost sensors Zurich, Switzerland | 32.4 | |
| 156 | Erlun Taiwan, Taiwan | 32.3 | |
| 156 | Maebaru-chūō Fukuoka, Japan | 32.3 | |
| 156 | Florin low-cost sensors California, United States | 32.3 | |
| 159 | Kołobrzeg West Pomerania, Poland | 32.2 | |
| 160 | Fanling North District, Hong Kong | 32.1 | |
| 161 | Hanford California, United States | 32.0 | |
| 162 | Istanbul low-cost sensors Istanbul, Turkey | 31.9 | |
| 162 | Tin Shui Wai Yuen Long, Hong Kong | 31.9 | |
| 164 | Sham Shui Po Sham Shui Po District, Hong Kong | 31.8 | |
| 165 | Douliu Taiwan, Taiwan | 31.6 | |
| 166 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 31.3 | |
| 167 | Madera California, United States | 31.2 | |
| 168 | Craiova Dolj, Romania | 31.1 | |
| 168 | Wawer Mazovia, Poland | 31.1 | |
| 168 | Onomichi Hiroshima, Japan | 31.1 | |
| 168 | Sukuta low-cost sensors Western, Gambia | 31.1 | |
| 168 | Copenhagen low-cost sensors Capital Region, Denmark | 31.1 | |
| 173 | Voluntari Ilfov, Romania | 30.8 | |
| 174 | Sacramento California, United States | 30.7 | |
| 175 | Chihuahua Chihuahua, Mexico | 30.6 | |
| 176 | Celje Urban Municipality of Celje, Slovenia | 30.5 | |
| 176 | Asakuchi Okayama, Japan | 30.5 | |
| 178 | San Martin Texmelucan de Labastida Puebla, Mexico | 30.4 | |
| 178 | Stockton California, United States | 30.4 | |
| 180 | Mielec Subcarpathia, Poland | 30.2 | |
| 181 | Naucalpan de Juárez México, Mexico | 30.1 | |
| 182 | Novo Mesto Urban Municipality of Novo Mesto, Slovenia | 30.0 | |
| 183 | Mong Kok Yau Tsim Mong District, Hong Kong | 29.9 | |
| 183 | Higashinozoe Hyōgo, Japan | 29.9 | |
| 183 | Eisenhüttenstadt Brandenburg, Germany | 29.9 | |
| 186 | Quetta low-cost sensors Balochistan, Pakistan | 29.7 | |
| 187 | Brzeg Opole Voivodeship, Poland | 29.5 | |
| 188 | Beigang Taiwan, Taiwan | 29.2 | |
| 188 | Millcreek Utah, United States | 29.2 | |
| 190 | Kan’onjichō Kagawa, Japan | 29.1 | |
| 190 | Aguascalientes Aguascalientes, Mexico | 29.1 | |
| 192 | Mexico City Mexico City, Mexico | 29.0 | |
| 193 | Xinying Taiwan, Taiwan | 28.9 | |
| 194 | Cluj-Napoca Cluj County, Romania | 28.8 | |
| 194 | Łódź Łódź Voivodeship, Poland | 28.8 | |
| 196 | Buftea Ilfov, Romania | 28.5 | |
| 196 | Neili Taiwan, Taiwan | 28.5 | |
| 196 | Onoda Yamaguchi, Japan | 28.5 | |
| 196 | Fukuyama Hiroshima, Japan | 28.5 | |
| 200 | Zalău Sălaj County, Romania | 28.4 |
Top 200 of 2,141 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