SmogRank / History / week of February 10, 2025
Most polluted cities, week of February 10, 2025
2,118 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 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 156.3 | |
| 2 | Lahore low-cost sensors Punjab, Pakistan | 139.1 | |
| 3 | N'Djamena N’Djaména, Chad | 128.2 | |
| 4 | Kampala low-cost sensors Central Region, Uganda | 113.7 | |
| 5 | Kolkata West Bengal, India | 100.0 | |
| 6 | Delhi Delhi, India | 96.9 | |
| 7 | Kathmandu low-cost sensors Bagmati Province, Nepal | 92.5 | |
| 8 | Negotin Central Serbia, Serbia | 89.9 | |
| 9 | Novi Pazar Central Serbia, Serbia | 88.3 | |
| 10 | Banja Luka Srpska, Bosnia and Herzegovina | 86.8 | |
| 11 | Valjevo Central Serbia, Serbia | 84.9 | |
| 12 | Leskovac Central Serbia, Serbia | 83.8 | |
| 13 | Mumbai Maharashtra, India | 82.4 | |
| 14 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 80.2 | |
| 15 | Dushanbe Dushanbe, Tajikistan | 79.7 | |
| 16 | Užice Central Serbia, Serbia | 76.8 | |
| 17 | Hyderabad Telangana, India | 75.5 | |
| 18 | Loznica Central Serbia, Serbia | 74.2 | |
| 19 | Zaječar Central Serbia, Serbia | 72.9 | |
| 20 | Almaty low-cost sensors Almaty, Kazakhstan | 72.5 | |
| 21 | Ulan Bator Ulaanbaatar, Mongolia | 72.2 | |
| 22 | Prokuplje Central Serbia, Serbia | 69.4 | |
| 23 | Sai Mai low-cost sensors Bangkok, Thailand | 69.2 | |
| 24 | Hanoi Hanoi, Vietnam | 68.9 | |
| 25 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 67.7 | |
| 26 | Abuja low-cost sensors FCT, Nigeria | 67.6 | |
| 27 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 66.4 | |
| 28 | Şabāḩ as Sālim Mubārak al Kabīr, Kuwait | 64.9 | |
| 29 | Karachi low-cost sensors Sindh, Pakistan | 63.4 | |
| 29 | Islamabad low-cost sensors Islamabad, Pakistan | 63.4 | |
| 31 | Čačak Central Serbia, Serbia | 62.6 | |
| 32 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 62.5 | |
| 33 | Bangkok low-cost sensors Bangkok, Thailand | 62.2 | |
| 34 | Travnik Federation of B&H, Bosnia and Herzegovina | 61.3 | |
| 35 | Krotoszyn Greater Poland, Poland | 60.7 | |
| 36 | Yangon Yangon, Myanmar | 60.5 | |
| 36 | Bielsko-Biala Silesia, Poland | 60.5 | |
| 38 | Lubań Lower Silesia, Poland | 59.6 | |
| 39 | Żywiec Silesia, Poland | 59.5 | |
| 40 | Pirot Central Serbia, Serbia | 56.0 | |
| 41 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 54.8 | |
| 42 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 54.7 | |
| 43 | Calafat Dolj, Romania | 53.6 | |
| 44 | Skarżysko-Kamienna Świętokrzyskie, Poland | 53.4 | |
| 45 | Opole Opole Voivodeship, Poland | 53.3 | |
| 46 | Baghdad Baghdad, Iraq | 52.4 | |
| 47 | Yerevan low-cost sensors Yerevan, Armenia | 52.1 | |
| 48 | Kruševac Central Serbia, Serbia | 51.9 | |
| 49 | Kłodzko Lower Silesia, Poland | 51.7 | |
| 50 | Stodůlky low-cost sensors Prague, Czechia | 51.2 | |
| 51 | Salor Tashkent Region, Uzbekistan | 50.3 | |
| 52 | Zagreb low-cost sensors Zagreb, Croatia | 49.2 | |
| 53 | Dej Cluj County, Romania | 48.9 | |
| 54 | Kraljevo Central Serbia, Serbia | 47.8 | |
| 55 | Jastrzębie Zdrój Silesia, Poland | 47.7 | |
| 56 | Niš Central Serbia, Serbia | 47.6 | |
| 57 | Shenyang Liaoning, China | 47.2 | |
| 58 | Tha Bo Nong Khai, Thailand | 46.7 | |
| 58 | Třinec Moravian-Silesian Region, Czechia | 46.7 | |
| 60 | Bihać Federation of B&H, Bosnia and Herzegovina | 46.3 | |
| 61 | Otwock Mazovia, Poland | 46.2 | |
| 62 | Łask Łódź Voivodeship, Poland | 45.9 | |
| 63 | Poznań Greater Poland, Poland | 45.7 | |
| 64 | Czechowice-Dziedzice Silesia, Poland | 45.6 | |
| 65 | Šabac Central Serbia, Serbia | 44.6 | |
| 66 | Kalisz Greater Poland, Poland | 43.8 | |
| 67 | Codlea Brașov County, Romania | 43.7 | |
| 68 | Kragujevac Central Serbia, Serbia | 43.5 | |
| 69 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 43.2 | |
| 70 | Ostrava Moravian-Silesian Region, Czechia | 42.7 | |
| 71 | Celje Urban Municipality of Celje, Slovenia | 41.8 | |
| 72 | Český Těšín Moravian-Silesian Region, Czechia | 41.3 | |
| 73 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 41.2 | |
| 74 | Cairo Cairo, Egypt | 41.0 | |
| 75 | Novo Mesto Urban Municipality of Novo Mesto, Slovenia | 40.9 | |
| 76 | Kraków Lesser Poland, Poland | 40.6 | |
| 77 | Pristina Pristina, Kosovo | 40.5 | |
| 78 | Bernburg Saxony-Anhalt, Germany | 40.3 | |
| 79 | Kranj Urban Municipality of Kranj, Slovenia | 40.2 | |
| 80 | Bor Central Serbia, Serbia | 40.1 | |
| 81 | Frýdek-Místek Moravian-Silesian Region, Czechia | 39.9 | |
| 82 | Ćuprija Central Serbia, Serbia | 39.8 | |
| 82 | Włocławek Kujawsko-Pomorskie, Poland | 39.8 | |
| 84 | Beijing Beijing, China | 39.6 | |
| 84 | Kutno Łódź Voivodeship, Poland | 39.6 | |
| 86 | Radom Mazovia, Poland | 39.5 | |
| 87 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 39.4 | |
| 88 | Havířov Moravian-Silesian Region, Czechia | 39.3 | |
| 89 | Abidjan low-cost sensors Abidjan Autonomous District, Ivory Coast | 38.7 | |
| 90 | Guangzhou Guangdong, China | 38.6 | |
| 90 | Ptuj Urban Municipality of Ptuj, Slovenia | 38.6 | |
| 92 | Kikinda Vojvodina, Serbia | 38.3 | |
| 93 | Dunkirk Hauts-de-France, France | 38.0 | |
| 94 | Roeselare Flanders, Belgium | 37.9 | |
| 95 | Weißenfels Saxony-Anhalt, Germany | 37.8 | |
| 95 | Opava Moravian-Silesian Region, Czechia | 37.8 | |
| 95 | Łódź Łódź Voivodeship, Poland | 37.8 | |
| 95 | Gorzów Wielkopolski Lubusz, Poland | 37.8 | |
| 99 | Smederevo Central Serbia, Serbia | 37.5 | |
| 100 | Bohumín Moravian-Silesian Region, Czechia | 37.3 | |
| 101 | Żyrardów Mazovia, Poland | 36.9 | |
| 101 | Lazarevac Central Serbia, Serbia | 36.9 | |
| 101 | Radomsko Łódź Voivodeship, Poland | 36.9 | |
| 104 | Lublin Lublin, Poland | 36.7 | |
| 104 | Kędzierzyn-Koźle Opole Voivodeship, Poland | 36.7 | |
| 106 | Birmingham low-cost sensors England, United Kingdom | 36.5 | |
| 107 | Maldegem Flanders, Belgium | 36.4 | |
| 108 | Jelenia Góra Lower Silesia, Poland | 36.3 | |
| 109 | Merseburg Saxony-Anhalt, Germany | 36.2 | |
| 110 | Děčín Ústí nad Labem Region, Czechia | 36.1 | |
| 111 | Chennai Tamil Nadu, India | 36.0 | |
| 111 | Sulechów Lubusz, Poland | 36.0 | |
| 113 | Izegem Flanders, Belgium | 35.9 | |
| 114 | Starachowice Świętokrzyskie, Poland | 35.8 | |
| 114 | Wittenberg Saxony-Anhalt, Germany | 35.8 | |
| 116 | Ruse Ruse, Bulgaria | 35.6 | |
| 116 | Tomaszów Lubelski Lublin, Poland | 35.6 | |
| 118 | Futog Vojvodina, Serbia | 35.5 | |
| 119 | Speyer Rheinland-Pfalz, Germany | 35.4 | |
| 119 | Dessau Saxony-Anhalt, Germany | 35.4 | |
| 121 | Przemyśl Subcarpathia, Poland | 35.3 | |
| 122 | Istanbul low-cost sensors Istanbul, Turkey | 35.2 | |
| 122 | Maribor Urban Municipality of Maribor, Slovenia | 35.2 | |
| 124 | Lochristi Flanders, Belgium | 34.8 | |
| 125 | Wan Chai Wan Chai, Hong Kong | 34.6 | |
| 126 | Kielce Świętokrzyskie, Poland | 34.5 | |
| 126 | Kortrijk Flanders, Belgium | 34.5 | |
| 126 | Katowice Silesia, Poland | 34.5 | |
| 129 | Münster North Rhine-Westphalia, Germany | 34.4 | |
| 130 | Koksijde Flanders, Belgium | 34.3 | |
| 130 | Grimbergen Flanders, Belgium | 34.3 | |
| 130 | Toruń Kujawsko-Pomorskie, Poland | 34.3 | |
| 133 | Zamość Lublin, Poland | 34.2 | |
| 134 | Halberstadt Saxony-Anhalt, Germany | 34.1 | |
| 135 | Rzeszów Subcarpathia, Poland | 33.9 | |
| 135 | Worms Rheinland-Pfalz, Germany | 33.9 | |
| 135 | Bydgoszcz Kujawsko-Pomorskie, Poland | 33.9 | |
| 138 | Dębica Subcarpathia, Poland | 33.7 | |
| 138 | Wrocław Lower Silesia, Poland | 33.7 | |
| 140 | Lučenec Banská Bystrica Region, Slovakia | 33.6 | |
| 141 | Sevlievo low-cost sensors Gabrovo, Bulgaria | 33.5 | |
| 141 | Schiedam South Holland, The Netherlands | 33.5 | |
| 141 | Menen Flanders, Belgium | 33.5 | |
| 141 | Hamar Innlandet, Norway | 33.5 | |
| 141 | Trbovlje Municipality of Trbovlje, Slovenia | 33.5 | |
| 146 | Antwerp Flanders, Belgium | 33.4 | |
| 146 | Karlsruhe Baden-Wurttemberg, Germany | 33.4 | |
| 146 | Zielona Góra Lubusz, Poland | 33.4 | |
| 149 | Beveren Flanders, Belgium | 33.2 | |
| 149 | Douai Hauts-de-France, France | 33.2 | |
| 149 | Subotica Vojvodina, Serbia | 33.2 | |
| 152 | Köthen Saxony-Anhalt, Germany | 33.0 | |
| 153 | Gent Flanders, Belgium | 32.8 | |
| 154 | Greiz Thuringia, Germany | 32.6 | |
| 155 | Wernigerode Saxony-Anhalt, Germany | 32.4 | |
| 155 | Bielefeld North Rhine-Westphalia, Germany | 32.4 | |
| 155 | Ljubljana Ljubljana, Slovenia | 32.4 | |
| 158 | Mechelen Flanders, Belgium | 32.3 | |
| 158 | Houthalen Flanders, Belgium | 32.3 | |
| 158 | Jülich North Rhine-Westphalia, Germany | 32.3 | |
| 158 | Hildesheim Lower Saxony, Germany | 32.3 | |
| 162 | Winterthur low-cost sensors Zurich, Switzerland | 32.2 | |
| 162 | Borken North Rhine-Westphalia, Germany | 32.2 | |
| 164 | Cluj-Napoca Cluj County, Romania | 32.1 | |
| 164 | Kassel Hesse, Germany | 32.1 | |
| 166 | Kaunas Kaunas, Lithuania | 32.0 | |
| 166 | Pruszków Mazovia, Poland | 32.0 | |
| 166 | Zaventem Flanders, Belgium | 32.0 | |
| 169 | Haskovo low-cost sensors Haskovo, Bulgaria | 31.9 | |
| 170 | Siedlce Mazovia, Poland | 31.8 | |
| 170 | Kapellen Flanders, Belgium | 31.8 | |
| 170 | Krefeld North Rhine-Westphalia, Germany | 31.8 | |
| 173 | Prague Prague, Czechia | 31.7 | |
| 174 | Stabroek Flanders, Belgium | 31.6 | |
| 174 | Tübingen Baden-Wurttemberg, Germany | 31.6 | |
| 174 | Żary Lubusz, Poland | 31.6 | |
| 177 | Magdeburg Saxony-Anhalt, Germany | 31.5 | |
| 177 | Altenburg Thuringia, Germany | 31.5 | |
| 179 | Gera Thuringia, Germany | 31.4 | |
| 179 | Datteln North Rhine-Westphalia, Germany | 31.4 | |
| 181 | Maarssen Utrecht, The Netherlands | 31.3 | |
| 181 | Weimar Thuringia, Germany | 31.3 | |
| 181 | Osnabrück Lower Saxony, Germany | 31.3 | |
| 184 | Walsrode Lower Saxony, Germany | 31.2 | |
| 184 | Heilbronn Baden-Wurttemberg, Germany | 31.2 | |
| 184 | Szczecin West Pomerania, Poland | 31.2 | |
| 187 | Konstancin-Jeziorna Mazovia, Poland | 31.1 | |
| 187 | Graz Styria, Austria | 31.1 | |
| 187 | Zwijndrecht Flanders, Belgium | 31.1 | |
| 187 | Neuwied Rheinland-Pfalz, Germany | 31.1 | |
| 187 | Denain Hauts-de-France, France | 31.1 | |
| 187 | Beroun Central Bohemia, Czechia | 31.1 | |
| 193 | Warsaw Mazovia, Poland | 31.0 | |
| 193 | Augustów Podlasie, Poland | 31.0 | |
| 193 | Evergem Flanders, Belgium | 31.0 | |
| 193 | Stuttgart Baden-Wurttemberg, Germany | 31.0 | |
| 193 | Creil Hauts-de-France, France | 31.0 | |
| 198 | Kehl Baden-Wurttemberg, Germany | 30.9 | |
| 198 | Cottbus Brandenburg, Germany | 30.9 | |
| 200 | Vilnius Vilnius, Lithuania | 30.8 |
Top 200 of 2,118 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