SmogRank / History / January 19, 2026
Most polluted cities on January 19, 2026
1,529 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 609.0 | |
| 2 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 420.0 | |
| 3 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 401.0 | |
| 4 | Faisalabad low-cost sensors Punjab, Pakistan | 339.0 | |
| 5 | Gujranwala low-cost sensors Punjab, Pakistan | 289.0 | |
| 6 | Bahawalpur low-cost sensors Punjab, Pakistan | 288.0 | |
| 7 | Multan low-cost sensors Punjab, Pakistan | 285.0 | |
| 8 | Delhi Delhi, India | 274.0 | |
| 9 | Sialkot low-cost sensors Punjab, Pakistan | 271.5 | |
| 10 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 259.0 | |
| 11 | Lahore low-cost sensors Punjab, Pakistan | 252.5 | |
| 12 | Srinagar Jammu and Kashmir, India | 202.5 | |
| 13 | Hyderabad low-cost sensors Sindh, Pakistan | 174.0 | |
| 14 | Târgu Mureş low-cost sensors Mureș County, Romania | 158.0 | |
| 15 | Sighetu Marmaţiei Maramureş, Romania | 151.0 | |
| 16 | Talghar low-cost sensors Almaty Region, Kazakhstan | 146.0 | |
| 17 | Almaty low-cost sensors Almaty, Kazakhstan | 140.5 | |
| 18 | Rawalpindi low-cost sensors Punjab, Pakistan | 123.0 | |
| 19 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 118.0 | |
| 20 | Dushanbe Dushanbe, Tajikistan | 116.0 | |
| 21 | Rzeszów Subcarpathia, Poland | 106.9 | |
| 22 | Islamabad low-cost sensors Islamabad, Pakistan | 104.0 | |
| 23 | Czechowice-Dziedzice Silesia, Poland | 103.0 | |
| 24 | Żywiec Silesia, Poland | 102.0 | |
| 25 | Kraków Lesser Poland, Poland | 101.3 | |
| 26 | Burunday low-cost sensors Almaty Region, Kazakhstan | 99.5 | |
| 27 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 91.6 | |
| 28 | Târgu Jiu Gorj County, Romania | 90.9 | |
| 29 | Legionowo Mazovia, Poland | 83.5 | |
| 30 | Zamość Lublin, Poland | 81.7 | |
| 31 | Karachi low-cost sensors Sindh, Pakistan | 80.9 | |
| 32 | Dębica Subcarpathia, Poland | 78.6 | |
| 33 | Suwałki Podlasie, Poland | 78.0 | |
| 34 | Przemyśl Subcarpathia, Poland | 77.3 | |
| 35 | Starachowice Świętokrzyskie, Poland | 74.3 | |
| 36 | Otwock Mazovia, Poland | 70.6 | |
| 37 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 69.2 | |
| 38 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 69.0 | |
| 39 | Jastrzębie Zdrój Silesia, Poland | 68.7 | |
| 40 | Hacienda Santa Fe Jalisco, Mexico | 68.0 | |
| 41 | Gorzów Wielkopolski Lubusz, Poland | 67.9 | |
| 42 | Włocławek Kujawsko-Pomorskie, Poland | 67.1 | |
| 43 | Augustów Podlasie, Poland | 66.2 | |
| 44 | Lublin Lublin, Poland | 65.6 | |
| 45 | Suceava Suceava, Romania | 64.2 | |
| 45 | Pljevlja Pljevlja, Montenegro | 64.2 | |
| 47 | Kathmandu low-cost sensors Bagmati Province, Nepal | 64.1 | |
| 48 | Toruń Kujawsko-Pomorskie, Poland | 62.4 | |
| 49 | Ciechanów Mazovia, Poland | 61.8 | |
| 50 | Bydgoszcz Kujawsko-Pomorskie, Poland | 60.4 | |
| 51 | Jarosław Subcarpathia, Poland | 59.2 | |
| 52 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 58.3 | |
| 53 | Bijelo Polje Bijelo Polje, Montenegro | 57.8 | |
| 54 | Kościerzyna Pomerania, Poland | 57.5 | |
| 55 | Craiova Dolj, Romania | 56.8 | |
| 56 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 56.6 | |
| 57 | Gdańsk Pomerania, Poland | 55.8 | |
| 58 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 55.5 | |
| 59 | Sai Mai low-cost sensors Bangkok, Thailand | 55.3 | |
| 60 | Zgierz Łódź Voivodeship, Poland | 55.1 | |
| 61 | Mielec Subcarpathia, Poland | 54.8 | |
| 62 | Łask Łódź Voivodeship, Poland | 54.5 | |
| 63 | Katowice Silesia, Poland | 54.3 | |
| 64 | Radomsko Łódź Voivodeship, Poland | 54.2 | |
| 64 | Łódź Łódź Voivodeship, Poland | 54.2 | |
| 66 | Veles Veles, North Macedonia | 53.8 | |
| 67 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 53.6 | |
| 68 | Lagos low-cost sensors Lagos, Nigeria | 53.3 | |
| 69 | Cluj-Napoca Cluj County, Romania | 53.0 | |
| 70 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 52.2 | |
| 70 | Sopot Pomerania, Poland | 52.2 | |
| 72 | Konstancin-Jeziorna Mazovia, Poland | 51.3 | |
| 72 | Ełk Warmia-Masuria, Poland | 51.3 | |
| 74 | Kavadarci Kavadarci, North Macedonia | 51.2 | |
| 75 | Bitola Bitola, North Macedonia | 50.9 | |
| 76 | Pruszków Mazovia, Poland | 50.5 | |
| 77 | Poznań Greater Poland, Poland | 50.2 | |
| 77 | Kalisz Greater Poland, Poland | 50.2 | |
| 79 | Nisko Subcarpathia, Poland | 50.1 | |
| 80 | Phuntsholing low-cost sensors Chukha, Bhutan | 49.4 | |
| 80 | Zagreb low-cost sensors Zagreb, Croatia | 49.4 | |
| 82 | Copenhagen low-cost sensors Capital Region, Denmark | 48.6 | |
| 83 | Tema low-cost sensors Greater Accra, Ghana | 48.5 | |
| 84 | Płock Mazovia, Poland | 48.2 | |
| 85 | Haarlem low-cost sensors North Holland, The Netherlands | 47.9 | |
| 86 | Kumanovo Kumanovo, North Macedonia | 47.8 | |
| 87 | Warsaw Mazovia, Poland | 47.7 | |
| 88 | Murree low-cost sensors Punjab, Pakistan | 47.6 | |
| 89 | Zalău Sălaj County, Romania | 47.4 | |
| 90 | Kampala low-cost sensors Central Region, Uganda | 47.0 | |
| 90 | Travnik Federation of B&H, Bosnia and Herzegovina | 47.0 | |
| 92 | Quezon City low-cost sensors National Capital Region, Philippines | 46.9 | |
| 93 | Bangkok low-cost sensors Bangkok, Thailand | 46.7 | |
| 94 | Banja Luka Srpska, Bosnia and Herzegovina | 46.3 | |
| 95 | Ashaiman low-cost sensors Greater Accra, Ghana | 46.1 | |
| 96 | Wrocław Lower Silesia, Poland | 45.5 | |
| 97 | Piatra Neamţ Neamț County, Romania | 45.4 | |
| 97 | Białystok Podlasie, Poland | 45.4 | |
| 99 | Esztergom Komárom-Esztergom, Hungary | 44.6 | |
| 100 | Olsztyn Warmia-Masuria, Poland | 44.3 | |
| 101 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 44.2 | |
| 102 | Iaşi Iași County, Romania | 44.1 | |
| 103 | Porto low-cost sensors Porto, Portugal | 43.3 | |
| 104 | Radom Mazovia, Poland | 43.1 | |
| 105 | Nikšić Opština Nikšić, Montenegro | 41.7 | |
| 106 | Szczecin West Pomerania, Poland | 41.2 | |
| 107 | Stralsund Mecklenburg-Vorpommern, Germany | 40.8 | |
| 108 | Ptuj Urban Municipality of Ptuj, Slovenia | 39.9 | |
| 109 | Beersel low-cost sensors Flanders, Belgium | 39.8 | |
| 110 | Delano low-cost sensors California, United States | 39.5 | |
| 111 | Dubai low-cost sensors Dubai, United Arab Emirates | 38.4 | |
| 111 | Kielce Świętokrzyskie, Poland | 38.4 | |
| 113 | Schwedt (Oder) Brandenburg, Germany | 38.3 | |
| 114 | Elbląg Warmia-Masuria, Poland | 38.2 | |
| 115 | Ventspils Ventspils, Latvia | 37.8 | |
| 115 | Opole Opole Voivodeship, Poland | 37.8 | |
| 115 | Kędzierzyn-Koźle Opole Voivodeship, Poland | 37.8 | |
| 118 | Yerevan low-cost sensors Yerevan, Armenia | 37.7 | |
| 118 | Medina Estates low-cost sensors Greater Accra, Ghana | 37.7 | |
| 120 | Ciudad Nezahualcoyotl México, Mexico | 37.5 | |
| 121 | Żary Lubusz, Poland | 37.3 | |
| 121 | Racibórz Silesia, Poland | 37.3 | |
| 123 | Iloilo low-cost sensors Western Visayas, Philippines | 37.2 | |
| 124 | Overijse low-cost sensors Flanders, Belgium | 37.1 | |
| 125 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 36.9 | |
| 126 | Kołobrzeg West Pomerania, Poland | 36.5 | |
| 127 | Wan Chai Wan Chai, Hong Kong | 36.3 | |
| 127 | Cambridge low-cost sensors England, United Kingdom | 36.3 | |
| 129 | Wawer Mazovia, Poland | 36.2 | |
| 130 | Eisenhüttenstadt Brandenburg, Germany | 35.7 | |
| 131 | Zielona Góra Lubusz, Poland | 35.5 | |
| 131 | Tulare low-cost sensors California, United States | 35.5 | |
| 133 | Fengshan Takao, Taiwan | 35.2 | |
| 133 | Brzeg Opole Voivodeship, Poland | 35.2 | |
| 135 | Ilinden Ilinden, North Macedonia | 34.8 | |
| 136 | Winter Park Florida, United States | 34.0 | |
| 137 | Kaohsiung Takao, Taiwan | 33.8 | |
| 138 | Orlando Florida, United States | 33.5 | |
| 139 | Neubrandenburg Mecklenburg-Vorpommern, Germany | 33.3 | |
| 140 | Budapest Budapest, Hungary | 33.2 | |
| 141 | Gyál Pest County, Hungary | 33.0 | |
| 142 | Istanbul low-cost sensors Istanbul, Turkey | 32.8 | |
| 143 | Tin Shui Wai Yuen Long, Hong Kong | 32.7 | |
| 144 | Accra low-cost sensors Greater Accra, Ghana | 32.3 | |
| 145 | Tai Po Tai Po, Hong Kong | 32.1 | |
| 145 | Xonacatlán México, Mexico | 32.1 | |
| 147 | Fanling North District, Hong Kong | 32.0 | |
| 148 | Worms Rheinland-Pfalz, Germany | 31.7 | |
| 148 | Olpe low-cost sensors North Rhine-Westphalia, Germany | 31.7 | |
| 150 | Speyer Rheinland-Pfalz, Germany | 31.5 | |
| 151 | Badger Alaska, United States | 31.4 | |
| 152 | Frankfurt (Oder) Brandenburg, Germany | 31.3 | |
| 152 | Bad Kreuznach Rheinland-Pfalz, Germany | 31.3 | |
| 154 | Chaozhou Taiwan, Taiwan | 31.2 | |
| 155 | Buftea Ilfov, Romania | 30.9 | |
| 156 | Lilongwe low-cost sensors Central Region, Malawi | 30.7 | |
| 156 | Douliu Taiwan, Taiwan | 30.7 | |
| 156 | San Luis Potosí San Luis Potosí, Mexico | 30.7 | |
| 159 | Stodůlky low-cost sensors Prague, Czechia | 30.4 | |
| 159 | Naucalpan de Juárez México, Mexico | 30.4 | |
| 161 | Bellinzona Ticino, Switzerland | 30.3 | |
| 161 | Heilbronn Baden-Wurttemberg, Germany | 30.3 | |
| 163 | Chiayi City Taiwan, Taiwan | 30.2 | |
| 164 | Quetta low-cost sensors Balochistan, Pakistan | 30.1 | |
| 164 | Graz Styria, Austria | 30.1 | |
| 164 | Strausberg Brandenburg, Germany | 30.1 | |
| 167 | Mong Kok Yau Tsim Mong District, Hong Kong | 29.8 | |
| 167 | Mexico City Mexico City, Mexico | 29.8 | |
| 169 | Sham Shui Po Sham Shui Po District, Hong Kong | 29.5 | |
| 170 | Mission Texas, United States | 29.3 | |
| 170 | Elk Grove low-cost sensors California, United States | 29.3 | |
| 172 | Győr Győr-Moson-Sopron, Hungary | 28.8 | |
| 172 | Fairbanks Alaska, United States | 28.8 | |
| 174 | Riga Riga, Latvia | 28.5 | |
| 174 | Visby Gotland, Sweden | 28.5 | |
| 174 | Ludwigshafen am Rhein Rheinland-Pfalz, Germany | 28.5 | |
| 177 | Voluntari Ilfov, Romania | 28.4 | |
| 177 | Velserbroek North Holland, The Netherlands | 28.4 | |
| 179 | Schiedam South Holland, The Netherlands | 28.3 | |
| 180 | Szeged Csongrád, Hungary | 28.0 | |
| 180 | Tainan Taiwan, Taiwan | 28.0 | |
| 182 | Yongkang Taiwan, Taiwan | 27.7 | |
| 182 | Sau Mau Ping Kwun Tong District, Hong Kong | 27.7 | |
| 184 | Kwai Chung Kwai Tsing District, Hong Kong | 27.6 | |
| 184 | Maribor Urban Municipality of Maribor, Slovenia | 27.6 | |
| 186 | Popeşti-Leordeni Ilfov, Romania | 27.5 | |
| 187 | Malmö Skåne, Sweden | 27.3 | |
| 187 | Mannheim Baden-Wurttemberg, Germany | 27.3 | |
| 189 | Victoria Central and Western, Hong Kong | 27.1 | |
| 190 | Zacatepec de Hidalgo Morelos, Mexico | 27.0 | |
| 191 | Velsen-Zuid North Holland, The Netherlands | 26.9 | |
| 192 | Zhushan Taiwan, Taiwan | 26.8 | |
| 193 | Xinying Taiwan, Taiwan | 26.5 | |
| 193 | Tsuen Wan Tsuen Wan, Hong Kong | 26.5 | |
| 193 | Frankfurt am Main Hesse, Germany | 26.5 | |
| 196 | Winterthur low-cost sensors Zurich, Switzerland | 26.4 | |
| 197 | Mixquiahuala de Juárez Hidalgo, Mexico | 26.3 | |
| 197 | Tijuana Baja California, Mexico | 26.3 | |
| 199 | 's-Gravenzande South Holland, The Netherlands | 26.2 | |
| 199 | Berlin State of Berlin, Germany | 26.2 |
Top 200 of 1,529 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