SmogRank / History / week of December 4, 2023
Most polluted cities, week of December 4, 2023
1,903 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 | Ramos Arizpe Coahuila, Mexico | 382.0 | |
| 2 | Lahore low-cost sensors Punjab, Pakistan | 227.6 | |
| 3 | Delhi Delhi, India | 153.4 | |
| 4 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 110.4 | |
| 5 | Islamabad low-cost sensors Islamabad, Pakistan | 108.0 | |
| 6 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 102.9 | |
| 7 | Cairo Cairo, Egypt | 102.5 | |
| 8 | N'Djamena N’Djaména, Chad | 98.1 | |
| 9 | Karachi low-cost sensors Sindh, Pakistan | 93.8 | |
| 10 | Kolkata West Bengal, India | 89.7 | |
| 11 | Dushanbe Dushanbe, Tajikistan | 78.8 | |
| 12 | Banja Luka Srpska, Bosnia and Herzegovina | 78.6 | |
| 13 | Kathmandu low-cost sensors Bagmati Province, Nepal | 78.5 | |
| 14 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 77.6 | |
| 15 | Beijing Beijing, China | 75.1 | |
| 16 | Ulan Bator Ulaanbaatar, Mongolia | 69.3 | |
| 17 | Mumbai Maharashtra, India | 63.2 | |
| 18 | Şabāḩ as Sālim Mubārak al Kabīr, Kuwait | 62.1 | |
| 19 | Manama Manama, Bahrain | 59.4 | |
| 20 | Tetovo Tetovo, North Macedonia | 56.9 | |
| 21 | Havířov Moravian-Silesian Region, Czechia | 56.3 | |
| 22 | Abuja low-cost sensors FCT, Nigeria | 53.9 | |
| 23 | Bohumín Moravian-Silesian Region, Czechia | 53.6 | |
| 24 | Český Těšín Moravian-Silesian Region, Czechia | 52.3 | |
| 25 | Ostrava Moravian-Silesian Region, Czechia | 50.4 | |
| 26 | Frýdek-Místek Moravian-Silesian Region, Czechia | 46.8 | |
| 27 | Skopje Grad Skopje, North Macedonia | 46.6 | |
| 28 | Jakarta Jakarta, Indonesia | 45.5 | |
| 29 | Hyderabad Telangana, India | 45.3 | |
| 30 | Bitola Bitola, North Macedonia | 42.7 | |
| 31 | Spišská Nová Ves Košice Region, Slovakia | 42.2 | |
| 32 | Opava Moravian-Silesian Region, Czechia | 41.6 | |
| 33 | Shenyang Liaoning, China | 41.5 | |
| 34 | Niš Central Serbia, Serbia | 40.4 | |
| 35 | Ciudad Benito Juárez Nuevo León, Mexico | 38.4 | |
| 36 | Teplice Ústí nad Labem Region, Czechia | 38.2 | |
| 37 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 37.4 | |
| 37 | Bangkok low-cost sensors Bangkok, Thailand | 37.4 | |
| 39 | Žilina Žilina Region, Slovakia | 37.3 | |
| 39 | Přerov Olomouc Region, Czechia | 37.3 | |
| 41 | Martin Žilina Region, Slovakia | 37.2 | |
| 42 | Třinec Moravian-Silesian Region, Czechia | 37.1 | |
| 43 | Olomouc Olomouc Region, Czechia | 36.4 | |
| 44 | Veles Veles, North Macedonia | 36.1 | |
| 45 | Most Ústí nad Labem Region, Czechia | 35.9 | |
| 46 | Ilinden Ilinden, North Macedonia | 35.4 | |
| 47 | Stralsund Mecklenburg-Vorpommern, Germany | 35.3 | |
| 48 | Dej Cluj County, Romania | 35.2 | |
| 49 | Belgrade Central Serbia, Serbia | 34.7 | |
| 49 | Capannori Tuscany, Italy | 34.7 | |
| 51 | Ružomberok Žilina Region, Slovakia | 34.3 | |
| 51 | Litvínov Ústí nad Labem Region, Czechia | 34.3 | |
| 53 | Kavadarci Kavadarci, North Macedonia | 33.9 | |
| 53 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 33.9 | |
| 53 | Děčín Ústí nad Labem Region, Czechia | 33.9 | |
| 56 | Eisenhüttenstadt Brandenburg, Germany | 33.3 | |
| 57 | Graz Styria, Austria | 33.0 | |
| 58 | Victoria de Durango Durango, Mexico | 32.9 | |
| 59 | Valašské Meziříčí Zlín, Czechia | 32.5 | |
| 60 | Beroun Central Bohemia, Czechia | 32.3 | |
| 61 | Ústí nad Labem Ústí nad Labem Region, Czechia | 32.0 | |
| 62 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 31.6 | |
| 63 | Rostock Mecklenburg-Vorpommern, Germany | 31.3 | |
| 64 | Wan Chai Wan Chai, Hong Kong | 31.0 | |
| 64 | Frankfurt (Oder) Brandenburg, Germany | 31.0 | |
| 66 | Kigali Kigali, Rwanda | 30.9 | |
| 67 | Benevento Campania, Italy | 30.6 | |
| 68 | Prešov Prešov Region, Slovakia | 30.5 | |
| 69 | Schwedt (Oder) Brandenburg, Germany | 30.4 | |
| 70 | Humenné Prešov Region, Slovakia | 30.3 | |
| 71 | Traun Upper Austria, Austria | 29.4 | |
| 72 | Botevgrad low-cost sensors Sofia, Bulgaria | 29.3 | |
| 73 | Kochani Kochani, North Macedonia | 29.2 | |
| 74 | Montemurlo Tuscany, Italy | 29.1 | |
| 74 | Alessandria Piedmont, Italy | 29.1 | |
| 76 | Jeddah Mecca Region, Saudi Arabia | 29.0 | |
| 77 | Guangzhou Guangdong, China | 28.9 | |
| 77 | Wismar Mecklenburg-Vorpommern, Germany | 28.9 | |
| 79 | Turin Piedmont, Italy | 28.8 | |
| 80 | Almaty low-cost sensors Almaty, Kazakhstan | 28.6 | |
| 81 | Košice Košice Region, Slovakia | 28.3 | |
| 81 | Manlleu Catalonia, Spain | 28.3 | |
| 83 | Ansfelden Upper Austria, Austria | 27.8 | |
| 84 | Haskovo low-cost sensors Haskovo, Bulgaria | 27.7 | |
| 85 | Novi Sad Vojvodina, Serbia | 27.6 | |
| 86 | Kiel Schleswig-Holstein, Germany | 27.4 | |
| 87 | Güstrow Mecklenburg-Vorpommern, Germany | 27.2 | |
| 88 | Tuen Mun Tuen Mun, Hong Kong | 27.0 | |
| 88 | Cholula Puebla, Mexico | 27.0 | |
| 90 | Znojmo South Moravian, Czechia | 26.7 | |
| 91 | Kadaň Ústí nad Labem Region, Czechia | 26.6 | |
| 92 | Lübeck Schleswig-Holstein, Germany | 26.5 | |
| 92 | Ciudad Apodaca Nuevo León, Mexico | 26.5 | |
| 94 | Mladá Boleslav Central Bohemia, Czechia | 26.3 | |
| 95 | Yangon Yangon, Myanmar | 26.2 | |
| 96 | Zlín Zlín, Czechia | 26.0 | |
| 96 | Santa Catarina Nuevo León, Mexico | 26.0 | |
| 98 | Mong Kok Yau Tsim Mong District, Hong Kong | 25.9 | |
| 98 | Kladno Central Bohemia, Czechia | 25.9 | |
| 100 | Eberswalde Brandenburg, Germany | 25.8 | |
| 101 | Partizánske Trenčín Region, Slovakia | 25.7 | |
| 102 | Kroměříž Zlín, Czechia | 25.6 | |
| 103 | Židenice South Moravian, Czechia | 25.4 | |
| 104 | Zvolen Banská Bystrica Region, Slovakia | 25.2 | |
| 105 | Badger Alaska, United States | 25.0 | |
| 106 | Tlaquepaque Jalisco, Mexico | 24.8 | |
| 107 | Vranov nad Topľou Prešov Region, Slovakia | 24.6 | |
| 107 | Wels Upper Austria, Austria | 24.6 | |
| 107 | Passau Bavaria, Germany | 24.6 | |
| 107 | Ciudad Juárez Chihuahua, Mexico | 24.6 | |
| 111 | Hradec Králové Hradec Králové Region, Czechia | 24.2 | |
| 111 | Naples Campania, Italy | 24.2 | |
| 113 | Linz Upper Austria, Austria | 24.1 | |
| 114 | Addis Ababa Addis Ababa, Ethiopia | 24.0 | |
| 114 | Pardubice Pardubice Region, Czechia | 24.0 | |
| 116 | Bernau bei Berlin Brandenburg, Germany | 23.6 | |
| 117 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 23.5 | |
| 118 | Victoria Central and Western, Hong Kong | 23.4 | |
| 118 | České Budějovice South Bohemian Region, Czechia | 23.4 | |
| 120 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 23.2 | |
| 120 | Sankt Pölten Lower Austria, Austria | 23.2 | |
| 120 | Brno South Moravian, Czechia | 23.2 | |
| 120 | Tijuana Baja California, Mexico | 23.2 | |
| 124 | Sham Shui Po Sham Shui Po District, Hong Kong | 23.1 | |
| 124 | Mexicali Baja California, Mexico | 23.1 | |
| 126 | Itzehoe Schleswig-Holstein, Germany | 22.8 | |
| 126 | Berlin State of Berlin, Germany | 22.8 | |
| 126 | Trnava Trnava Region, Slovakia | 22.8 | |
| 126 | Trenčín Trenčín Region, Slovakia | 22.8 | |
| 130 | Antananarivo Analamanga, Madagascar | 22.7 | |
| 130 | Banská Bystrica Banská Bystrica Region, Slovakia | 22.7 | |
| 132 | Cluj-Napoca Cluj County, Romania | 22.6 | |
| 132 | Amstetten Lower Austria, Austria | 22.6 | |
| 134 | Klosterneuburg Lower Austria, Austria | 22.5 | |
| 134 | Monterrey Nuevo León, Mexico | 22.5 | |
| 136 | Prievidza Trenčín Region, Slovakia | 22.3 | |
| 136 | Zapopan Jalisco, Mexico | 22.3 | |
| 136 | Chikusei Ibaraki, Japan | 22.3 | |
| 136 | San Salvador Tizatlalli México, Mexico | 22.3 | |
| 140 | Kwai Chung Kwai Tsing District, Hong Kong | 22.2 | |
| 140 | Pesaro The Marches, Italy | 22.2 | |
| 142 | Tin Shui Wai Yuen Long, Hong Kong | 22.1 | |
| 142 | Kasaoka Okayama, Japan | 22.1 | |
| 142 | Wolfsberg Carinthia, Austria | 22.1 | |
| 142 | Massa Tuscany, Italy | 22.1 | |
| 142 | Falconara Marittima The Marches, Italy | 22.1 | |
| 147 | Gabrovo low-cost sensors Gabrovo, Bulgaria | 22.0 | |
| 147 | Teltow Brandenburg, Germany | 22.0 | |
| 149 | Tsuen Wan Tsuen Wan, Hong Kong | 21.9 | |
| 149 | Lagos low-cost sensors Lagos, Nigeria | 21.9 | |
| 149 | Strausberg Brandenburg, Germany | 21.9 | |
| 149 | San Francisco Tlalcilalcalpan México, Mexico | 21.9 | |
| 153 | Baku Baki, Azerbaijan | 21.8 | |
| 153 | Pilsen Plzeň Region, Czechia | 21.8 | |
| 155 | Neuruppin Brandenburg, Germany | 21.7 | |
| 155 | Toluca México, Mexico | 21.7 | |
| 157 | Prague Prague, Czechia | 21.5 | |
| 158 | Kan’onjichō Kagawa, Japan | 21.4 | |
| 158 | Cadereyta Jiménez Nuevo León, Mexico | 21.4 | |
| 160 | Sau Mau Ping Kwun Tong District, Hong Kong | 21.2 | |
| 160 | Hamburg Hamburg, Germany | 21.2 | |
| 162 | Fanling North District, Hong Kong | 21.1 | |
| 162 | Esztergom Komárom-Esztergom, Hungary | 21.1 | |
| 164 | Volos Thessaly, Greece | 20.8 | |
| 164 | Pátra West Greece, Greece | 20.8 | |
| 166 | Mödling Lower Austria, Austria | 20.7 | |
| 166 | Dunaújváros Fejér, Hungary | 20.7 | |
| 166 | Nitra Nitra Region, Slovakia | 20.7 | |
| 169 | Tai Po Tai Po, Hong Kong | 20.6 | |
| 170 | Steyr Upper Austria, Austria | 20.5 | |
| 170 | Karlova Ves Bratislava Region, Slovakia | 20.5 | |
| 170 | Mollet del Vallès Catalonia, Spain | 20.5 | |
| 173 | Murcia Murcia, Spain | 20.4 | |
| 173 | Neuenhagen Brandenburg, Germany | 20.4 | |
| 173 | Ciudad General Escobedo Nuevo León, Mexico | 20.4 | |
| 176 | Kurashiki Okayama, Japan | 20.3 | |
| 177 | Perchtoldsdorf Lower Austria, Austria | 20.2 | |
| 177 | Bratislava Bratislava Region, Slovakia | 20.2 | |
| 177 | Bakersfield California, United States | 20.2 | |
| 180 | Sha Tin Sha Tin, Hong Kong | 20.0 | |
| 180 | Žiar nad Hronom Banská Bystrica Region, Slovakia | 20.0 | |
| 180 | Arezzo Tuscany, Italy | 20.0 | |
| 183 | Senica Trnava Region, Slovakia | 19.9 | |
| 183 | Handlová Trenčín Region, Slovakia | 19.9 | |
| 183 | Liberpolis County of Osijek-Baranja, Croatia | 19.9 | |
| 186 | Sōja Okayama, Japan | 19.8 | |
| 187 | Klagenfurt am Wörthersee Carinthia, Austria | 19.7 | |
| 188 | Prato Tuscany, Italy | 19.6 | |
| 189 | Thessaloníki Central Macedonia, Greece | 19.5 | |
| 189 | Flensburg Schleswig-Holstein, Germany | 19.5 | |
| 191 | Fukuyama Hiroshima, Japan | 19.4 | |
| 192 | Klaipėda Klaipėda County, Lithuania | 19.3 | |
| 192 | Győr Győr-Moson-Sopron, Hungary | 19.3 | |
| 192 | Ceglie Messapica Apulia, Italy | 19.3 | |
| 192 | Hanford California, United States | 19.3 | |
| 196 | Vienna Vienna, Austria | 19.1 | |
| 197 | Asakuchi Okayama, Japan | 19.0 | |
| 198 | Ventspils Ventspils, Latvia | 18.8 | |
| 199 | Kleinmachnow Brandenburg, Germany | 18.7 | |
| 199 | Falkensee Brandenburg, Germany | 18.7 |
Top 200 of 1,903 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