SmogRank / History / March 10, 2026
Most polluted cities on March 10, 2026
2,154 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 149.0 | |
| 2 | Gujranwala low-cost sensors Punjab, Pakistan | 132.0 | |
| 3 | Faisalabad low-cost sensors Punjab, Pakistan | 123.0 | |
| 4 | Bahawalpur low-cost sensors Punjab, Pakistan | 113.5 | |
| 5 | Sialkot low-cost sensors Punjab, Pakistan | 113.0 | |
| 6 | Lahore low-cost sensors Punjab, Pakistan | 104.0 | |
| 7 | Delhi Delhi, India | 100.0 | |
| 8 | Jammu low-cost sensors Jammu and Kashmir, India | 98.2 | |
| 9 | Kathmandu low-cost sensors Bagmati Province, Nepal | 93.0 | |
| 10 | Phuntsholing low-cost sensors Chukha, Bhutan | 82.6 | |
| 11 | Gorzów Wielkopolski Lubusz, Poland | 69.9 | |
| 12 | Multan low-cost sensors Punjab, Pakistan | 68.6 | |
| 13 | Islamabad low-cost sensors Islamabad, Pakistan | 65.7 | |
| 14 | Rawalpindi low-cost sensors Punjab, Pakistan | 65.2 | |
| 15 | Changchun low-cost sensors Jilin, China | 64.4 | |
| 16 | Hyderabad Telangana, India | 63.5 | |
| 17 | Copenhagen low-cost sensors Capital Region, Denmark | 59.0 | |
| 18 | Haarlem low-cost sensors North Holland, The Netherlands | 56.0 | |
| 19 | Kalmar Kalmar, Sweden | 52.3 | |
| 20 | Pljevlja Pljevlja, Montenegro | 50.2 | |
| 21 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 49.0 | |
| 22 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 47.7 | |
| 22 | Banja Luka Srpska, Bosnia and Herzegovina | 47.7 | |
| 24 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 47.4 | |
| 25 | Hyderabad low-cost sensors Sindh, Pakistan | 47.3 | |
| 26 | Kościerzyna Pomerania, Poland | 47.0 | |
| 27 | Stralsund Mecklenburg-Vorpommern, Germany | 46.4 | |
| 28 | Żywiec Silesia, Poland | 45.9 | |
| 29 | San Salvador Tizatlalli México, Mexico | 45.6 | |
| 30 | Szczecin West Pomerania, Poland | 44.8 | |
| 31 | South Lake Tahoe California, United States | 44.7 | |
| 32 | Kampala low-cost sensors Central Region, Uganda | 43.6 | |
| 33 | Târgu Mureş low-cost sensors Mureș County, Romania | 43.4 | |
| 34 | Kołobrzeg West Pomerania, Poland | 43.0 | |
| 35 | Otwock Mazovia, Poland | 42.4 | |
| 36 | Lund Skåne, Sweden | 42.2 | |
| 37 | Włocławek Kujawsko-Pomorskie, Poland | 42.0 | |
| 38 | Teltow Brandenburg, Germany | 41.2 | |
| 39 | Gothenburg Västra Götaland, Sweden | 40.8 | |
| 40 | Uttaradit low-cost sensors Uttaradit, Thailand | 40.7 | |
| 40 | Bernburg Saxony-Anhalt, Germany | 40.7 | |
| 42 | Karachi low-cost sensors Sindh, Pakistan | 40.6 | |
| 43 | Malmö Skåne, Sweden | 40.2 | |
| 44 | Dessau Saxony-Anhalt, Germany | 40.1 | |
| 45 | Magdeburg Saxony-Anhalt, Germany | 40.0 | |
| 46 | Hamburg Hamburg, Germany | 39.9 | |
| 47 | Bitterfeld-Wolfen Saxony-Anhalt, Germany | 39.7 | |
| 48 | Halle (Saale) Saxony-Anhalt, Germany | 39.5 | |
| 48 | Bijelo Polje Bijelo Polje, Montenegro | 39.5 | |
| 50 | Burg bei Magdeburg Saxony-Anhalt, Germany | 39.4 | |
| 51 | Lagos low-cost sensors Lagos, Nigeria | 39.3 | |
| 52 | Xonacatlán México, Mexico | 38.6 | |
| 53 | Berlin State of Berlin, Germany | 38.5 | |
| 54 | Dubai low-cost sensors Dubai, United Arab Emirates | 38.3 | |
| 55 | Neubrandenburg Mecklenburg-Vorpommern, Germany | 38.2 | |
| 56 | Stendal Saxony-Anhalt, Germany | 38.1 | |
| 57 | Stodůlky low-cost sensors Prague, Czechia | 37.9 | |
| 57 | Wittenberg Saxony-Anhalt, Germany | 37.9 | |
| 59 | Amsterdam North Holland, The Netherlands | 37.8 | |
| 59 | Rostock Mecklenburg-Vorpommern, Germany | 37.8 | |
| 59 | Brandenburg an der Havel Brandenburg, Germany | 37.8 | |
| 62 | Oranienburg Brandenburg, Germany | 37.7 | |
| 62 | Gdańsk Pomerania, Poland | 37.7 | |
| 64 | Norrköping Östergötland, Sweden | 37.6 | |
| 65 | Zaanstad North Holland, The Netherlands | 37.3 | |
| 65 | Weißenfels Saxony-Anhalt, Germany | 37.3 | |
| 67 | Zeitz Saxony-Anhalt, Germany | 37.0 | |
| 68 | Merseburg Saxony-Anhalt, Germany | 36.9 | |
| 68 | Zagreb low-cost sensors Zagreb, Croatia | 36.9 | |
| 70 | Tema low-cost sensors Greater Accra, Ghana | 36.6 | |
| 71 | Ventspils Ventspils, Latvia | 36.5 | |
| 72 | 's-Gravenzande South Holland, The Netherlands | 36.3 | |
| 72 | Kalisz Greater Poland, Poland | 36.3 | |
| 72 | Mexico City Mexico City, Mexico | 36.3 | |
| 75 | Schwerin Mecklenburg-Vorpommern, Germany | 36.2 | |
| 76 | Velserbroek North Holland, The Netherlands | 36.0 | |
| 77 | Nisko Subcarpathia, Poland | 35.9 | |
| 78 | Naucalpan de Juárez México, Mexico | 35.8 | |
| 79 | San Francisco Tlalcilalcalpan México, Mexico | 35.7 | |
| 80 | Linköping Östergötland, Sweden | 35.6 | |
| 81 | Toruń Kujawsko-Pomorskie, Poland | 35.5 | |
| 82 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 35.3 | |
| 83 | Potsdam Brandenburg, Germany | 35.2 | |
| 84 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 35.1 | |
| 84 | Neuruppin Brandenburg, Germany | 35.1 | |
| 86 | The Hague South Holland, The Netherlands | 34.9 | |
| 87 | Poznań Greater Poland, Poland | 34.5 | |
| 88 | Bellinzona Ticino, Switzerland | 34.3 | |
| 89 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 34.1 | |
| 90 | Jarosław Subcarpathia, Poland | 34.0 | |
| 90 | Velsen-Zuid North Holland, The Netherlands | 34.0 | |
| 92 | Kumanovo Kumanovo, North Macedonia | 33.9 | |
| 92 | Bydgoszcz Kujawsko-Pomorskie, Poland | 33.9 | |
| 94 | Blankenfelde-Mahlow Brandenburg, Germany | 33.8 | |
| 95 | Ashaiman low-cost sensors Greater Accra, Ghana | 33.7 | |
| 95 | Maarssen Utrecht, The Netherlands | 33.7 | |
| 95 | Halstenbek Schleswig-Holstein, Germany | 33.7 | |
| 98 | Wismar Mecklenburg-Vorpommern, Germany | 33.5 | |
| 99 | Bremerhaven Bremen, Germany | 33.4 | |
| 100 | Sukuta low-cost sensors Western, Gambia | 33.3 | |
| 100 | Oldenburg Lower Saxony, Germany | 33.3 | |
| 100 | Luckenwalde Brandenburg, Germany | 33.3 | |
| 100 | Dunkirk Hauts-de-France, France | 33.3 | |
| 104 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 33.2 | |
| 105 | Cuxhaven Lower Saxony, Germany | 33.0 | |
| 106 | Celaya Guanajuato, Mexico | 32.8 | |
| 107 | Maassluis South Holland, The Netherlands | 32.6 | |
| 107 | Gdynia Pomerania, Poland | 32.6 | |
| 109 | Itzehoe Schleswig-Holstein, Germany | 32.5 | |
| 109 | Żary Lubusz, Poland | 32.5 | |
| 111 | Köthen Saxony-Anhalt, Germany | 32.1 | |
| 111 | Łask Łódź Voivodeship, Poland | 32.1 | |
| 113 | Emden Lower Saxony, Germany | 32.0 | |
| 114 | Nauen Brandenburg, Germany | 31.9 | |
| 114 | Bernau bei Berlin Brandenburg, Germany | 31.9 | |
| 114 | Říčany low-cost sensors Central Bohemia, Czechia | 31.9 | |
| 117 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 31.7 | |
| 118 | Halberstadt Saxony-Anhalt, Germany | 31.6 | |
| 119 | Schwedt (Oder) Brandenburg, Germany | 31.5 | |
| 119 | Heilbronn Baden-Wurttemberg, Germany | 31.5 | |
| 119 | Flensburg Schleswig-Holstein, Germany | 31.5 | |
| 122 | Schiedam South Holland, The Netherlands | 31.4 | |
| 122 | Kiel Schleswig-Holstein, Germany | 31.4 | |
| 124 | Medemblik North Holland, The Netherlands | 31.3 | |
| 124 | Königs Wusterhausen Brandenburg, Germany | 31.3 | |
| 126 | Utrecht Utrecht, The Netherlands | 31.2 | |
| 126 | Rotterdam South Holland, The Netherlands | 31.2 | |
| 128 | Tetovo Tetovo, North Macedonia | 31.1 | |
| 129 | Lugano Ticino, Switzerland | 31.0 | |
| 129 | Groningen Groningen, The Netherlands | 31.0 | |
| 129 | Güstrow Mecklenburg-Vorpommern, Germany | 31.0 | |
| 132 | Murree low-cost sensors Punjab, Pakistan | 30.9 | |
| 133 | Suwałki Podlasie, Poland | 30.6 | |
| 133 | Saltillo Coahuila, Mexico | 30.6 | |
| 135 | Zacatepec de Hidalgo Morelos, Mexico | 30.5 | |
| 136 | Ridderkerk South Holland, The Netherlands | 30.4 | |
| 137 | Buxtehude Lower Saxony, Germany | 30.3 | |
| 138 | Ełk Warmia-Masuria, Poland | 30.2 | |
| 139 | Wittenberge Brandenburg, Germany | 30.0 | |
| 139 | Łódź Łódź Voivodeship, Poland | 30.0 | |
| 141 | Bremen Bremen, Germany | 29.7 | |
| 142 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 29.6 | |
| 142 | Zgierz Łódź Voivodeship, Poland | 29.6 | |
| 144 | Gevgelija Gevgelija, North Macedonia | 29.4 | |
| 144 | Münster North Rhine-Westphalia, Germany | 29.4 | |
| 144 | Friesoythe Lower Saxony, Germany | 29.4 | |
| 147 | Visby Gotland, Sweden | 29.2 | |
| 147 | Friedrichshafen Baden-Wurttemberg, Germany | 29.2 | |
| 147 | Santa Catarina Nuevo León, Mexico | 29.2 | |
| 150 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 29.1 | |
| 151 | Tlaxcala Tlaxcala, Mexico | 29.0 | |
| 152 | Altenburg Thuringia, Germany | 28.9 | |
| 153 | Spijkenisse South Holland, The Netherlands | 28.8 | |
| 154 | Quetta low-cost sensors Balochistan, Pakistan | 28.7 | |
| 154 | Mainz Rheinland-Pfalz, Germany | 28.7 | |
| 156 | Apizaco Tlaxcala, Mexico | 28.6 | |
| 157 | Neuenhagen Brandenburg, Germany | 28.5 | |
| 158 | Sai Mai low-cost sensors Bangkok, Thailand | 28.4 | |
| 159 | Radomsko Łódź Voivodeship, Poland | 28.3 | |
| 160 | Bangkok low-cost sensors Bangkok, Thailand | 28.2 | |
| 161 | Ciechanów Mazovia, Poland | 28.1 | |
| 161 | Wolfsburg Lower Saxony, Germany | 28.1 | |
| 161 | Falkensee Brandenburg, Germany | 28.1 | |
| 161 | Eschborn Hesse, Germany | 28.1 | |
| 165 | Oyten Lower Saxony, Germany | 28.0 | |
| 165 | Mixquiahuala de Juárez Hidalgo, Mexico | 28.0 | |
| 167 | Dej Cluj County, Romania | 27.9 | |
| 167 | Dębica Subcarpathia, Poland | 27.9 | |
| 167 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 27.9 | |
| 167 | Callao Callao, Peru | 27.9 | |
| 167 | Calexico California, United States | 27.9 | |
| 172 | Hillegom South Holland, The Netherlands | 27.8 | |
| 172 | Lima Lima Province, Peru | 27.8 | |
| 172 | La Providencia Siglo XXI Hidalgo, Mexico | 27.8 | |
| 175 | Bielefeld North Rhine-Westphalia, Germany | 27.7 | |
| 176 | Köping Västmanland, Sweden | 27.6 | |
| 177 | Tulancingo Hidalgo, Mexico | 27.5 | |
| 178 | Kleinmachnow Brandenburg, Germany | 27.3 | |
| 178 | Gera Thuringia, Germany | 27.3 | |
| 180 | Witzenhausen Hesse, Germany | 27.2 | |
| 181 | Lüneburg Lower Saxony, Germany | 27.1 | |
| 182 | Wilhelmshaven Lower Saxony, Germany | 27.0 | |
| 182 | Gießen Hesse, Germany | 27.0 | |
| 182 | Monterrey Nuevo León, Mexico | 27.0 | |
| 185 | Lübeck Schleswig-Holstein, Germany | 26.9 | |
| 185 | Lingen Lower Saxony, Germany | 26.9 | |
| 185 | Kassel Hesse, Germany | 26.9 | |
| 188 | Strausberg Brandenburg, Germany | 26.8 | |
| 188 | Greiz Thuringia, Germany | 26.8 | |
| 188 | Tlaquepaque Jalisco, Mexico | 26.8 | |
| 191 | Walsrode Lower Saxony, Germany | 26.7 | |
| 192 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 26.6 | |
| 192 | Örebro Örebro, Sweden | 26.6 | |
| 194 | Liepāja Liepaja, Latvia | 26.5 | |
| 194 | Weimar Thuringia, Germany | 26.5 | |
| 196 | Kraków Lesser Poland, Poland | 26.4 | |
| 197 | Frankfurt (Oder) Brandenburg, Germany | 26.3 | |
| 197 | Dortmund North Rhine-Westphalia, Germany | 26.3 | |
| 199 | Borken North Rhine-Westphalia, Germany | 26.2 | |
| 199 | Travnik Federation of B&H, Bosnia and Herzegovina | 26.2 |
Top 200 of 2,154 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