SmogRank / History / February 17, 2026
Most polluted cities on February 17, 2026
2,100 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 | 213.0 | |
| 2 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 179.0 | |
| 3 | Sukuta low-cost sensors Western, Gambia | 174.0 | |
| 4 | Gujranwala low-cost sensors Punjab, Pakistan | 171.0 | |
| 5 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 161.5 | |
| 6 | Lahore low-cost sensors Punjab, Pakistan | 152.0 | |
| 7 | Sialkot low-cost sensors Punjab, Pakistan | 138.0 | |
| 8 | Jammu low-cost sensors Jammu and Kashmir, India | 124.5 | |
| 9 | Brikama low-cost sensors Western, Gambia | 120.3 | |
| 10 | Bahawalpur low-cost sensors Punjab, Pakistan | 114.0 | |
| 11 | Kathmandu low-cost sensors Bagmati Province, Nepal | 102.0 | |
| 12 | Rawalpindi low-cost sensors Punjab, Pakistan | 101.0 | |
| 13 | Burunday low-cost sensors Almaty Region, Kazakhstan | 94.3 | |
| 14 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 86.3 | |
| 15 | Tuxtla Chiapas, Mexico | 84.6 | |
| 16 | Multan low-cost sensors Punjab, Pakistan | 79.4 | |
| 17 | Kampala low-cost sensors Central Region, Uganda | 79.2 | |
| 18 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 78.7 | |
| 19 | Delhi Delhi, India | 78.4 | |
| 20 | Dushanbe Dushanbe, Tajikistan | 74.3 | |
| 21 | Rēzekne Rēzekne, Latvia | 74.1 | |
| 22 | Kalisz Greater Poland, Poland | 73.2 | |
| 23 | Talghar low-cost sensors Almaty Region, Kazakhstan | 71.5 | |
| 24 | Almaty low-cost sensors Almaty, Kazakhstan | 71.2 | |
| 25 | Changchun low-cost sensors Jilin, China | 67.4 | |
| 26 | Islamabad low-cost sensors Islamabad, Pakistan | 65.2 | |
| 27 | Karachi low-cost sensors Sindh, Pakistan | 60.2 | |
| 28 | Ziguinchor low-cost sensors Ziguinchor, Senegal | 59.6 | |
| 29 | Zielona Góra Lubusz, Poland | 58.4 | |
| 30 | Phuntsholing low-cost sensors Chukha, Bhutan | 57.5 | |
| 31 | Łask Łódź Voivodeship, Poland | 56.0 | |
| 32 | Dakar low-cost sensors Dakar, Senegal | 54.8 | |
| 32 | Żary Lubusz, Poland | 54.8 | |
| 32 | Wrocław Lower Silesia, Poland | 54.8 | |
| 35 | Derby Kansas, United States | 54.6 | |
| 36 | Żywiec Silesia, Poland | 54.4 | |
| 37 | Nepean low-cost sensors Ontario, Canada | 54.0 | |
| 38 | Gorzów Wielkopolski Lubusz, Poland | 52.4 | |
| 39 | Korhogo low-cost sensors Savanes District, Ivory Coast | 51.6 | |
| 40 | Rzeszów Subcarpathia, Poland | 51.4 | |
| 40 | Zgierz Łódź Voivodeship, Poland | 51.4 | |
| 42 | Uttaradit low-cost sensors Uttaradit, Thailand | 50.2 | |
| 43 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 50.1 | |
| 44 | Dębica Subcarpathia, Poland | 49.6 | |
| 45 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 48.6 | |
| 45 | Banja Luka Srpska, Bosnia and Herzegovina | 48.6 | |
| 47 | Czechowice-Dziedzice Silesia, Poland | 48.4 | |
| 48 | Gatineau low-cost sensors Quebec, Canada | 47.3 | |
| 49 | Thiès low-cost sensors Thies, Senegal | 47.2 | |
| 50 | Poznań Greater Poland, Poland | 46.5 | |
| 51 | Zagreb low-cost sensors Zagreb, Croatia | 45.7 | |
| 52 | Murree low-cost sensors Punjab, Pakistan | 45.4 | |
| 53 | Radomsko Łódź Voivodeship, Poland | 44.3 | |
| 54 | Eisenhüttenstadt Brandenburg, Germany | 44.0 | |
| 55 | Kraków Lesser Poland, Poland | 43.7 | |
| 56 | Łódź Łódź Voivodeship, Poland | 43.5 | |
| 57 | Sai Mai low-cost sensors Bangkok, Thailand | 43.3 | |
| 58 | Brzeg Opole Voivodeship, Poland | 43.0 | |
| 58 | San Salvador Tizatlalli México, Mexico | 43.0 | |
| 60 | Târgu Mureş low-cost sensors Mureș County, Romania | 42.6 | |
| 61 | Děčín Ústí nad Labem Region, Czechia | 42.2 | |
| 62 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 41.3 | |
| 63 | Hamburg Hamburg, Germany | 40.8 | |
| 64 | Hyderabad low-cost sensors Sindh, Pakistan | 39.8 | |
| 65 | Lubnjow Brandenburg, Germany | 39.5 | |
| 66 | Socorro Texas, United States | 38.5 | |
| 67 | Halstenbek Schleswig-Holstein, Germany | 38.2 | |
| 68 | Przemyśl Subcarpathia, Poland | 38.1 | |
| 68 | Ciudad Juárez Chihuahua, Mexico | 38.1 | |
| 70 | Berlin State of Berlin, Germany | 37.8 | |
| 71 | Starachowice Świętokrzyskie, Poland | 37.7 | |
| 72 | Teltow Brandenburg, Germany | 37.6 | |
| 73 | Cottbus Brandenburg, Germany | 37.3 | |
| 74 | Toronto Ontario, Canada | 37.2 | |
| 75 | Stendal Saxony-Anhalt, Germany | 36.9 | |
| 75 | Włocławek Kujawsko-Pomorskie, Poland | 36.9 | |
| 77 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 36.8 | |
| 78 | Jarosław Subcarpathia, Poland | 36.6 | |
| 79 | Tarnów Lesser Poland, Poland | 36.0 | |
| 79 | Bangkok low-cost sensors Bangkok, Thailand | 36.0 | |
| 81 | Yerevan low-cost sensors Yerevan, Armenia | 35.9 | |
| 81 | Cornwall Ontario, Canada | 35.9 | |
| 83 | Frankfurt (Oder) Brandenburg, Germany | 35.6 | |
| 84 | Schwerin Mecklenburg-Vorpommern, Germany | 35.5 | |
| 85 | San Luis Potosí San Luis Potosí, Mexico | 35.4 | |
| 86 | Buxtehude Lower Saxony, Germany | 35.3 | |
| 87 | Königs Wusterhausen Brandenburg, Germany | 35.2 | |
| 88 | Oranienburg Brandenburg, Germany | 35.0 | |
| 89 | San Francisco Tlalcilalcalpan México, Mexico | 34.8 | |
| 90 | Brandenburg an der Havel Brandenburg, Germany | 34.7 | |
| 91 | Nauen Brandenburg, Germany | 34.6 | |
| 92 | Potsdam Brandenburg, Germany | 34.2 | |
| 92 | Cuautla Morelos, Mexico | 34.2 | |
| 94 | Quetta low-cost sensors Balochistan, Pakistan | 34.0 | |
| 94 | Blankenfelde-Mahlow Brandenburg, Germany | 34.0 | |
| 96 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 33.9 | |
| 97 | Milton Ontario, Canada | 33.7 | |
| 98 | Newmarket Ontario, Canada | 33.5 | |
| 99 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 33.1 | |
| 99 | Luckenwalde Brandenburg, Germany | 33.1 | |
| 101 | Wittenberg Saxony-Anhalt, Germany | 33.0 | |
| 102 | Dubai low-cost sensors Dubai, United Arab Emirates | 32.9 | |
| 102 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 32.9 | |
| 102 | Albany New York, United States | 32.9 | |
| 105 | Hansestadt Salzwedel Saxony-Anhalt, Germany | 32.7 | |
| 106 | Falkensee Brandenburg, Germany | 32.6 | |
| 107 | Fengshan Takao, Taiwan | 32.5 | |
| 108 | Lagos low-cost sensors Lagos, Nigeria | 32.3 | |
| 108 | Burg bei Magdeburg Saxony-Anhalt, Germany | 32.3 | |
| 108 | Mexico City Mexico City, Mexico | 32.3 | |
| 111 | Baia Mare Maramureş, Romania | 32.0 | |
| 112 | Redford Michigan, United States | 31.9 | |
| 113 | Nisko Subcarpathia, Poland | 31.8 | |
| 114 | Lüneburg Lower Saxony, Germany | 31.7 | |
| 114 | Mladá Boleslav Central Bohemia, Czechia | 31.7 | |
| 116 | Sighetu Marmaţiei Maramureş, Romania | 31.6 | |
| 117 | Suceava Suceava, Romania | 31.5 | |
| 117 | Mielec Subcarpathia, Poland | 31.5 | |
| 117 | Bernau bei Berlin Brandenburg, Germany | 31.5 | |
| 120 | Mississauga Ontario, Canada | 31.2 | |
| 120 | Oakville Ontario, Canada | 31.2 | |
| 122 | Bielsko-Biala Silesia, Poland | 31.1 | |
| 123 | Oconomowoc low-cost sensors Wisconsin, United States | 30.9 | |
| 124 | Radom Mazovia, Poland | 30.8 | |
| 125 | Wismar Mecklenburg-Vorpommern, Germany | 30.7 | |
| 125 | Dessau Saxony-Anhalt, Germany | 30.7 | |
| 127 | Havířov Moravian-Silesian Region, Czechia | 30.6 | |
| 127 | Bijelo Polje Bijelo Polje, Montenegro | 30.6 | |
| 129 | Wittenberge Brandenburg, Germany | 30.5 | |
| 129 | Aguascalientes Aguascalientes, Mexico | 30.5 | |
| 129 | Reading Pennsylvania, United States | 30.5 | |
| 132 | Opole Opole Voivodeship, Poland | 30.4 | |
| 133 | Kleinmachnow Brandenburg, Germany | 30.2 | |
| 134 | Puebla Puebla, Mexico | 30.1 | |
| 135 | Hartford Connecticut, United States | 30.0 | |
| 136 | Katowice Silesia, Poland | 29.8 | |
| 137 | Tema low-cost sensors Greater Accra, Ghana | 29.7 | |
| 137 | Kłodzko Lower Silesia, Poland | 29.7 | |
| 139 | Szczecin West Pomerania, Poland | 29.5 | |
| 140 | Ann Arbor low-cost sensors Michigan, United States | 29.3 | |
| 141 | Otwock Mazovia, Poland | 29.2 | |
| 142 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 28.8 | |
| 142 | Barrie Ontario, Canada | 28.8 | |
| 142 | Kitchener Ontario, Canada | 28.8 | |
| 145 | Neubrandenburg Mecklenburg-Vorpommern, Germany | 28.7 | |
| 146 | Kielce Świętokrzyskie, Poland | 28.5 | |
| 146 | Lübeck Schleswig-Holstein, Germany | 28.5 | |
| 148 | Chaozhou Taiwan, Taiwan | 28.3 | |
| 148 | Neuruppin Brandenburg, Germany | 28.3 | |
| 148 | Brampton Ontario, Canada | 28.3 | |
| 151 | Strausberg Brandenburg, Germany | 28.2 | |
| 152 | Jastrzębie Zdrój Silesia, Poland | 28.1 | |
| 152 | Lincoln Park Michigan, United States | 28.1 | |
| 154 | Żyrardów Mazovia, Poland | 28.0 | |
| 154 | Neuenhagen Brandenburg, Germany | 28.0 | |
| 154 | Ústí nad Labem Ústí nad Labem Region, Czechia | 28.0 | |
| 154 | Toruń Kujawsko-Pomorskie, Poland | 28.0 | |
| 154 | Santiago de Querétaro Querétaro, Mexico | 28.0 | |
| 159 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 27.9 | |
| 159 | New York City New York, United States | 27.9 | |
| 159 | Alliston Ontario, Canada | 27.9 | |
| 162 | Jelenia Góra Lower Silesia, Poland | 27.8 | |
| 163 | York Pennsylvania, United States | 27.7 | |
| 163 | Lancaster Pennsylvania, United States | 27.7 | |
| 165 | Tlaquepaque Jalisco, Mexico | 27.6 | |
| 165 | Guelph Ontario, Canada | 27.6 | |
| 167 | Zamość Lublin, Poland | 27.5 | |
| 167 | Syracuse New York, United States | 27.5 | |
| 167 | Harrisburg Pennsylvania, United States | 27.5 | |
| 167 | Waterdown Ontario, Canada | 27.5 | |
| 171 | Fanling North District, Hong Kong | 27.4 | |
| 172 | Kaohsiung Takao, Taiwan | 27.3 | |
| 173 | Teplice Ústí nad Labem Region, Czechia | 27.2 | |
| 173 | San Martin Texmelucan de Labastida Puebla, Mexico | 27.2 | |
| 173 | Hamilton Ontario, Canada | 27.2 | |
| 176 | Cuernavaca Morelos, Mexico | 27.1 | |
| 176 | Abington low-cost sensors Pennsylvania, United States | 27.1 | |
| 178 | Oregon Ohio, United States | 27.0 | |
| 179 | Hodonín South Moravian, Czechia | 26.8 | |
| 180 | Bohumín Moravian-Silesian Region, Czechia | 26.7 | |
| 180 | Kingston Ontario, Canada | 26.7 | |
| 182 | Krosno Subcarpathia, Poland | 26.6 | |
| 183 | Dej Cluj County, Romania | 26.5 | |
| 183 | Tetovo Tetovo, North Macedonia | 26.5 | |
| 183 | Pennsauken New Jersey, United States | 26.5 | |
| 186 | Puli Taiwan, Taiwan | 26.4 | |
| 186 | Güstrow Mecklenburg-Vorpommern, Germany | 26.4 | |
| 186 | Mixquiahuala de Juárez Hidalgo, Mexico | 26.4 | |
| 189 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 26.3 | |
| 189 | Olomouc Olomouc Region, Czechia | 26.3 | |
| 189 | Ottawa Ontario, Canada | 26.3 | |
| 192 | Camden low-cost sensors New Jersey, United States | 26.2 | |
| 193 | Kiel Schleswig-Holstein, Germany | 26.1 | |
| 193 | Wheaton low-cost sensors Illinois, United States | 26.1 | |
| 193 | Grand Rapids Michigan, United States | 26.1 | |
| 193 | Southfield Michigan, United States | 26.1 | |
| 197 | Tuen Mun Tuen Mun, Hong Kong | 25.9 | |
| 197 | Cuxhaven Lower Saxony, Germany | 25.9 | |
| 199 | Iaşi Iași County, Romania | 25.7 | |
| 199 | Jasło Subcarpathia, Poland | 25.7 |
Top 200 of 2,100 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