SmogRank / History / February 3, 2026
Most polluted cities on February 3, 2026
2,133 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Gujranwala low-cost sensors Punjab, Pakistan | 205.5 | |
| 2 | Sialkot low-cost sensors Punjab, Pakistan | 200.5 | |
| 3 | Multan low-cost sensors Punjab, Pakistan | 185.0 | |
| 4 | Faisalabad low-cost sensors Punjab, Pakistan | 172.0 | |
| 5 | Bahawalpur low-cost sensors Punjab, Pakistan | 167.0 | |
| 6 | Lahore low-cost sensors Punjab, Pakistan | 156.0 | |
| 7 | Delhi Delhi, India | 134.0 | |
| 8 | Hyderabad low-cost sensors Sindh, Pakistan | 123.0 | |
| 9 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 121.0 | |
| 10 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 119.0 | |
| 11 | Rawalpindi low-cost sensors Punjab, Pakistan | 100.6 | |
| 12 | Karachi low-cost sensors Sindh, Pakistan | 90.3 | |
| 13 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 87.7 | |
| 14 | Otwock Mazovia, Poland | 86.6 | |
| 15 | Żywiec Silesia, Poland | 84.5 | |
| 16 | Banja Luka Srpska, Bosnia and Herzegovina | 79.8 | |
| 17 | Kathmandu low-cost sensors Bagmati Province, Nepal | 77.4 | |
| 17 | Burunday low-cost sensors Almaty Region, Kazakhstan | 77.4 | |
| 19 | Kavadarci Kavadarci, North Macedonia | 77.2 | |
| 20 | Islamabad low-cost sensors Islamabad, Pakistan | 76.4 | |
| 21 | Bijelo Polje Bijelo Polje, Montenegro | 75.9 | |
| 22 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 71.2 | |
| 23 | Bielsko-Biala Silesia, Poland | 66.8 | |
| 24 | Srinagar Jammu and Kashmir, India | 64.4 | |
| 25 | Changchun low-cost sensors Jilin, China | 63.4 | |
| 26 | Białystok Podlasie, Poland | 60.5 | |
| 27 | Kumanovo Kumanovo, North Macedonia | 60.4 | |
| 28 | Phuntsholing low-cost sensors Chukha, Bhutan | 59.4 | |
| 29 | Kłodzko Lower Silesia, Poland | 58.1 | |
| 30 | Haarlem low-cost sensors North Holland, The Netherlands | 56.7 | |
| 31 | Târgu Mureş low-cost sensors Mureș County, Romania | 56.1 | |
| 32 | Zagreb low-cost sensors Zagreb, Croatia | 55.5 | |
| 33 | Bitola Bitola, North Macedonia | 53.7 | |
| 34 | Pljevlja Pljevlja, Montenegro | 53.5 | |
| 35 | Prilep Prilep, North Macedonia | 53.1 | |
| 36 | Starachowice Świętokrzyskie, Poland | 53.0 | |
| 37 | Tema low-cost sensors Greater Accra, Ghana | 52.3 | |
| 38 | Talghar low-cost sensors Almaty Region, Kazakhstan | 50.5 | |
| 39 | Quetta low-cost sensors Balochistan, Pakistan | 50.0 | |
| 40 | Legionowo Mazovia, Poland | 49.8 | |
| 41 | Jastrzębie Zdrój Silesia, Poland | 48.8 | |
| 42 | Konstancin-Jeziorna Mazovia, Poland | 48.7 | |
| 43 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 48.6 | |
| 44 | Cambridge low-cost sensors England, United Kingdom | 48.2 | |
| 45 | Dubai low-cost sensors Dubai, United Arab Emirates | 48.0 | |
| 45 | Ashaiman low-cost sensors Greater Accra, Ghana | 48.0 | |
| 47 | Zamość Lublin, Poland | 47.7 | |
| 48 | Tarnów Lesser Poland, Poland | 47.3 | |
| 49 | Stodůlky low-cost sensors Prague, Czechia | 47.1 | |
| 50 | Codlea Brașov County, Romania | 47.0 | |
| 51 | Ciechanów Mazovia, Poland | 46.8 | |
| 51 | Ciudad Benito Juárez Nuevo León, Mexico | 46.8 | |
| 53 | Delano low-cost sensors California, United States | 46.7 | |
| 54 | Tulare low-cost sensors California, United States | 46.4 | |
| 55 | Kampala low-cost sensors Central Region, Uganda | 46.2 | |
| 56 | Włocławek Kujawsko-Pomorskie, Poland | 45.0 | |
| 57 | Veles Veles, North Macedonia | 44.9 | |
| 58 | Yerevan low-cost sensors Yerevan, Armenia | 44.8 | |
| 59 | Ełk Warmia-Masuria, Poland | 44.0 | |
| 60 | Ilinden Ilinden, North Macedonia | 43.7 | |
| 61 | Birmingham low-cost sensors England, United Kingdom | 43.4 | |
| 62 | Elbląg Warmia-Masuria, Poland | 42.8 | |
| 63 | Dębica Subcarpathia, Poland | 42.3 | |
| 64 | Jelenia Góra Lower Silesia, Poland | 41.9 | |
| 65 | Kraków Lesser Poland, Poland | 41.2 | |
| 66 | Rzeszów Subcarpathia, Poland | 41.1 | |
| 66 | Říčany low-cost sensors Central Bohemia, Czechia | 41.1 | |
| 68 | Czechowice-Dziedzice Silesia, Poland | 41.0 | |
| 69 | Manchester low-cost sensors England, United Kingdom | 40.5 | |
| 70 | Rēzekne Rēzekne, Latvia | 39.9 | |
| 70 | Gevgelija Gevgelija, North Macedonia | 39.9 | |
| 72 | Zeitz Saxony-Anhalt, Germany | 39.6 | |
| 72 | Bernburg Saxony-Anhalt, Germany | 39.6 | |
| 72 | Nepean low-cost sensors Ontario, Canada | 39.6 | |
| 75 | Mexicali Baja California, Mexico | 38.9 | |
| 76 | Kalisz Greater Poland, Poland | 38.6 | |
| 77 | Medina Estates low-cost sensors Greater Accra, Ghana | 38.4 | |
| 77 | Accra low-cost sensors Greater Accra, Ghana | 38.4 | |
| 79 | Gostivar Gostivar, North Macedonia | 38.2 | |
| 80 | Fengshan Takao, Taiwan | 37.9 | |
| 80 | Lagos low-cost sensors Lagos, Nigeria | 37.9 | |
| 82 | Piatra Neamţ Neamț County, Romania | 37.7 | |
| 83 | Weißenfels Saxony-Anhalt, Germany | 37.6 | |
| 84 | Żyrardów Mazovia, Poland | 37.4 | |
| 85 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 37.3 | |
| 86 | Warsaw Mazovia, Poland | 37.0 | |
| 87 | Podgorica Podgorica, Montenegro | 36.7 | |
| 87 | Daytona Beach Florida, United States | 36.7 | |
| 87 | Gatineau low-cost sensors Quebec, Canada | 36.7 | |
| 90 | Strumica Strumica, North Macedonia | 36.6 | |
| 90 | Żary Lubusz, Poland | 36.6 | |
| 92 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 36.5 | |
| 92 | Medemblik North Holland, The Netherlands | 36.5 | |
| 94 | Murree low-cost sensors Punjab, Pakistan | 36.2 | |
| 95 | Olsztyn Warmia-Masuria, Poland | 36.1 | |
| 95 | Lublin Lublin, Poland | 36.1 | |
| 95 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 36.1 | |
| 98 | Mühlhausen Thuringia, Germany | 35.8 | |
| 99 | Suceava Suceava, Romania | 35.7 | |
| 100 | Brikama low-cost sensors Western, Gambia | 35.6 | |
| 100 | Halle (Saale) Saxony-Anhalt, Germany | 35.6 | |
| 100 | Łask Łódź Voivodeship, Poland | 35.6 | |
| 103 | Racibórz Silesia, Poland | 35.5 | |
| 103 | Modesto California, United States | 35.5 | |
| 105 | Radom Mazovia, Poland | 35.3 | |
| 105 | Velsen-Zuid North Holland, The Netherlands | 35.3 | |
| 107 | Kędzierzyn-Koźle Opole Voivodeship, Poland | 35.2 | |
| 108 | Fulda Hesse, Germany | 35.1 | |
| 108 | Huntington Beach low-cost sensors California, United States | 35.1 | |
| 110 | Chaozhou Taiwan, Taiwan | 34.8 | |
| 110 | Purmerend North Holland, The Netherlands | 34.8 | |
| 112 | Nisko Subcarpathia, Poland | 34.7 | |
| 113 | Ohrid Ohrid, North Macedonia | 34.6 | |
| 113 | Kaohsiung Takao, Taiwan | 34.6 | |
| 115 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 34.5 | |
| 115 | Sukuta low-cost sensors Western, Gambia | 34.5 | |
| 117 | Halberstadt Saxony-Anhalt, Germany | 34.4 | |
| 118 | Passau Bavaria, Germany | 34.3 | |
| 119 | Toruń Kujawsko-Pomorskie, Poland | 34.1 | |
| 119 | Fresno California, United States | 34.1 | |
| 121 | Ulm Baden-Wurttemberg, Germany | 34.0 | |
| 122 | Velserbroek North Holland, The Netherlands | 33.7 | |
| 123 | Magdeburg Saxony-Anhalt, Germany | 33.3 | |
| 123 | Altenburg Thuringia, Germany | 33.3 | |
| 125 | Weimar Thuringia, Germany | 33.2 | |
| 125 | Zielona Góra Lubusz, Poland | 33.2 | |
| 125 | Wrocław Lower Silesia, Poland | 33.2 | |
| 125 | Wittenberg Saxony-Anhalt, Germany | 33.2 | |
| 129 | Kassel Hesse, Germany | 33.1 | |
| 129 | Gera Thuringia, Germany | 33.1 | |
| 129 | Dessau Saxony-Anhalt, Germany | 33.1 | |
| 132 | Karlsruhe Baden-Wurttemberg, Germany | 33.0 | |
| 133 | Lawrenceville Georgia, United States | 32.9 | |
| 134 | Augustów Podlasie, Poland | 32.8 | |
| 134 | Groningen Groningen, The Netherlands | 32.8 | |
| 134 | Hildesheim Lower Saxony, Germany | 32.8 | |
| 134 | Burg bei Magdeburg Saxony-Anhalt, Germany | 32.8 | |
| 138 | Rinteln Lower Saxony, Germany | 32.7 | |
| 138 | Bielefeld North Rhine-Westphalia, Germany | 32.7 | |
| 138 | Radomsko Łódź Voivodeship, Poland | 32.7 | |
| 141 | Pruszków Mazovia, Poland | 32.6 | |
| 142 | Marburg an der Lahn Hesse, Germany | 32.5 | |
| 143 | Bitterfeld-Wolfen Saxony-Anhalt, Germany | 32.3 | |
| 143 | Macon Georgia, United States | 32.3 | |
| 145 | Füssen low-cost sensors Bavaria, Germany | 32.2 | |
| 145 | Erfurt Thuringia, Germany | 32.2 | |
| 145 | Gorzów Wielkopolski Lubusz, Poland | 32.2 | |
| 148 | Novo Mesto Urban Municipality of Novo Mesto, Slovenia | 32.1 | |
| 149 | Wernigerode Saxony-Anhalt, Germany | 32.0 | |
| 150 | Zaanstad North Holland, The Netherlands | 31.9 | |
| 150 | Bad Wildungen Hesse, Germany | 31.9 | |
| 152 | Wawer Mazovia, Poland | 31.8 | |
| 153 | Badhoevedorp North Holland, The Netherlands | 31.7 | |
| 154 | Ptuj Urban Municipality of Ptuj, Slovenia | 31.6 | |
| 155 | 's-Gravenzande South Holland, The Netherlands | 31.5 | |
| 155 | Schwäbisch Hall Baden-Wurttemberg, Germany | 31.5 | |
| 155 | Heilbronn Baden-Wurttemberg, Germany | 31.5 | |
| 155 | Łódź Łódź Voivodeship, Poland | 31.5 | |
| 159 | Maarssen Utrecht, The Netherlands | 31.4 | |
| 159 | Münster North Rhine-Westphalia, Germany | 31.4 | |
| 159 | Goslar Lower Saxony, Germany | 31.4 | |
| 159 | Eisenach Thuringia, Germany | 31.4 | |
| 163 | Ruse Ruse, Bulgaria | 31.2 | |
| 164 | Göttingen Lower Saxony, Germany | 31.1 | |
| 165 | Gabrovo low-cost sensors Gabrovo, Bulgaria | 30.9 | |
| 165 | Enschede Overijssel, The Netherlands | 30.9 | |
| 165 | Jena Thuringia, Germany | 30.9 | |
| 168 | Osnabrück Lower Saxony, Germany | 30.8 | |
| 168 | Gießen Hesse, Germany | 30.8 | |
| 170 | Dortmund North Rhine-Westphalia, Germany | 30.7 | |
| 171 | Gdańsk Pomerania, Poland | 30.6 | |
| 171 | Bergen Vestland, Norway | 30.6 | |
| 173 | Amsterdam North Holland, The Netherlands | 30.5 | |
| 174 | Oldenburg Lower Saxony, Germany | 30.4 | |
| 175 | Unna North Rhine-Westphalia, Germany | 30.3 | |
| 175 | Ludwigsburg Baden-Wurttemberg, Germany | 30.3 | |
| 175 | Hannover Lower Saxony, Germany | 30.3 | |
| 178 | Salzgitter Lower Saxony, Germany | 30.2 | |
| 179 | Hillegom South Holland, The Netherlands | 30.1 | |
| 179 | Friesoythe Lower Saxony, Germany | 30.1 | |
| 181 | Jincheng Fukien, Taiwan | 30.0 | |
| 182 | Maassluis South Holland, The Netherlands | 29.9 | |
| 182 | Opole Opole Voivodeship, Poland | 29.9 | |
| 184 | Speyer Rheinland-Pfalz, Germany | 29.8 | |
| 184 | Köthen Saxony-Anhalt, Germany | 29.8 | |
| 184 | Braunschweig Lower Saxony, Germany | 29.8 | |
| 184 | San Luis Potosí San Luis Potosí, Mexico | 29.8 | |
| 184 | Aguascalientes Aguascalientes, Mexico | 29.8 | |
| 184 | Visalia California, United States | 29.8 | |
| 190 | Datteln North Rhine-Westphalia, Germany | 29.7 | |
| 191 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 29.6 | |
| 191 | Zacatepec de Hidalgo Morelos, Mexico | 29.6 | |
| 191 | Merced California, United States | 29.6 | |
| 194 | Utrecht Utrecht, The Netherlands | 29.5 | |
| 194 | Schiedam South Holland, The Netherlands | 29.5 | |
| 194 | Greiz Thuringia, Germany | 29.5 | |
| 197 | Tlaquepaque Jalisco, Mexico | 29.4 | |
| 198 | Voluntari Ilfov, Romania | 29.3 | |
| 198 | Yongkang Taiwan, Taiwan | 29.3 | |
| 198 | Ridderkerk South Holland, The Netherlands | 29.3 |
Top 200 of 2,133 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