SmogRank / History / week of February 5, 2024
Most polluted cities, week of February 5, 2024
2,058 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 | N'Djamena N’Djaména, Chad | 165.1 | |
| 2 | Ulan Bator Ulaanbaatar, Mongolia | 163.4 | |
| 3 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 160.0 | |
| 4 | Lahore low-cost sensors Punjab, Pakistan | 157.3 | |
| 5 | Abuja low-cost sensors FCT, Nigeria | 145.6 | |
| 6 | Shenyang Liaoning, China | 141.8 | |
| 7 | Delhi Delhi, India | 103.4 | |
| 8 | Kathmandu low-cost sensors Bagmati Province, Nepal | 84.6 | |
| 9 | Tlaquepaque Jalisco, Mexico | 84.0 | |
| 10 | Pljevlja Pljevlja, Montenegro | 80.5 | |
| 11 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 79.9 | |
| 12 | Strumica Strumica, North Macedonia | 78.6 | |
| 13 | Novi Pazar Central Serbia, Serbia | 71.8 | |
| 14 | Skopje Grad Skopje, North Macedonia | 71.6 | |
| 15 | Karachi low-cost sensors Sindh, Pakistan | 70.9 | |
| 16 | Islamabad low-cost sensors Islamabad, Pakistan | 70.5 | |
| 17 | Mumbai Maharashtra, India | 62.4 | |
| 18 | Cairo Cairo, Egypt | 62.2 | |
| 18 | Kavadarci Kavadarci, North Macedonia | 62.2 | |
| 20 | Hyderabad Telangana, India | 60.5 | |
| 21 | Yangon Yangon, Myanmar | 58.0 | |
| 22 | Tetovo Tetovo, North Macedonia | 55.6 | |
| 23 | Veles Veles, North Macedonia | 54.6 | |
| 24 | Podgorica Podgorica, Montenegro | 54.3 | |
| 25 | Kigali Kigali, Rwanda | 51.9 | |
| 26 | Ilinden Ilinden, North Macedonia | 51.0 | |
| 27 | Niš Central Serbia, Serbia | 50.8 | |
| 28 | Brescia Lombardy, Italy | 49.5 | |
| 29 | Mantua Lombardy, Italy | 49.2 | |
| 30 | Almaty low-cost sensors Almaty, Kazakhstan | 48.5 | |
| 31 | Kampala low-cost sensors Central Region, Uganda | 47.1 | |
| 32 | Rovereto Trentino-Alto Adige, Italy | 44.9 | |
| 33 | Hanoi Hanoi, Vietnam | 44.8 | |
| 34 | Zemun Central Serbia, Serbia | 44.6 | |
| 35 | Lazarevac Central Serbia, Serbia | 44.3 | |
| 36 | Chennai Tamil Nadu, India | 42.9 | |
| 36 | Beijing Beijing, China | 42.9 | |
| 36 | Trento Trentino-Alto Adige, Italy | 42.9 | |
| 39 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 42.1 | |
| 40 | Vigevano Lombardy, Italy | 40.9 | |
| 41 | Colombo Western Province, Sri Lanka | 40.8 | |
| 42 | Banja Luka Srpska, Bosnia and Herzegovina | 40.2 | |
| 43 | Cremona Lombardy, Italy | 40.1 | |
| 44 | Dej Cluj County, Romania | 38.5 | |
| 45 | Smederevo Central Serbia, Serbia | 38.2 | |
| 46 | Pančevo Vojvodina, Serbia | 37.8 | |
| 47 | Pavia Lombardy, Italy | 37.1 | |
| 48 | Capannori Tuscany, Italy | 35.3 | |
| 49 | Užice Central Serbia, Serbia | 34.0 | |
| 50 | Badger Alaska, United States | 33.7 | |
| 51 | Kochani Kochani, North Macedonia | 33.5 | |
| 52 | Bitola Bitola, North Macedonia | 32.9 | |
| 53 | Lodi Lombardy, Italy | 32.7 | |
| 54 | Dushanbe Dushanbe, Tajikistan | 32.4 | |
| 55 | Milan Lombardy, Italy | 32.0 | |
| 56 | Jakarta Jakarta, Indonesia | 31.9 | |
| 57 | Treviglio Lombardy, Italy | 31.5 | |
| 58 | Thessaloníki Central Macedonia, Greece | 31.3 | |
| 59 | Obrenovac Central Serbia, Serbia | 31.0 | |
| 60 | Bolzano Trentino-Alto Adige, Italy | 30.7 | |
| 61 | Belgrade Central Serbia, Serbia | 30.0 | |
| 62 | Ourense Galicia, Spain | 29.2 | |
| 63 | Novara Piedmont, Italy | 28.8 | |
| 64 | Ćuprija Central Serbia, Serbia | 28.1 | |
| 64 | Salor Tashkent Region, Uzbekistan | 28.1 | |
| 64 | Alessandria Piedmont, Italy | 28.1 | |
| 67 | Volos Thessaly, Greece | 27.9 | |
| 68 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 27.4 | |
| 69 | Jesi The Marches, Italy | 27.3 | |
| 70 | Celaya Guanajuato, Mexico | 27.2 | |
| 71 | Şabāḩ as Sālim Mubārak al Kabīr, Kuwait | 26.9 | |
| 71 | Saronno Lombardy, Italy | 26.9 | |
| 73 | Montemurlo Tuscany, Italy | 26.6 | |
| 74 | Działdowo Warmia-Masuria, Poland | 26.4 | |
| 75 | Dalmine Lombardy, Italy | 26.3 | |
| 76 | Tuen Mun Tuen Mun, Hong Kong | 25.1 | |
| 77 | Bergamo Lombardy, Italy | 25.0 | |
| 78 | Sremčica Central Serbia, Serbia | 24.3 | |
| 79 | Santa Cruz de Tenerife Canary Islands, Spain | 24.2 | |
| 79 | Włocławek Kujawsko-Pomorskie, Poland | 24.2 | |
| 81 | Maspalomas Canary Islands, Spain | 24.1 | |
| 81 | Benevento Campania, Italy | 24.1 | |
| 83 | Asprópyrgos Attica, Greece | 23.9 | |
| 84 | Las Palmas de Gran Canaria Canary Islands, Spain | 23.8 | |
| 85 | Athens Attica, Greece | 23.7 | |
| 86 | Turin Piedmont, Italy | 23.6 | |
| 87 | Irapuato Guanajuato, Mexico | 23.5 | |
| 88 | Manlleu Catalonia, Spain | 23.3 | |
| 89 | Granadilla de Abona Canary Islands, Spain | 23.1 | |
| 90 | Baku Baki, Azerbaijan | 23.0 | |
| 91 | Lima Lima Province, Peru | 22.8 | |
| 92 | Skarżysko-Kamienna Świętokrzyskie, Poland | 22.6 | |
| 92 | Kourou Guyane, French Guiana | 22.6 | |
| 94 | Zgierz Łódź Voivodeship, Poland | 22.4 | |
| 94 | Hamar Innlandet, Norway | 22.4 | |
| 96 | Falconara Marittima The Marches, Italy | 22.2 | |
| 97 | Mollet del Vallès Catalonia, Spain | 22.1 | |
| 98 | Wan Chai Wan Chai, Hong Kong | 22.0 | |
| 98 | Candelaria Canary Islands, Spain | 22.0 | |
| 98 | Acerra Campania, Italy | 22.0 | |
| 101 | Como Lombardy, Italy | 21.9 | |
| 102 | Pátra West Greece, Greece | 21.8 | |
| 102 | Poznań Greater Poland, Poland | 21.8 | |
| 104 | Cluj-Napoca Cluj County, Romania | 21.5 | |
| 105 | Opole Opole Voivodeship, Poland | 21.4 | |
| 105 | Erba Lombardy, Italy | 21.4 | |
| 105 | Arezzo Tuscany, Italy | 21.4 | |
| 105 | Cayenne Guyane, French Guiana | 21.4 | |
| 109 | Prato Tuscany, Italy | 21.0 | |
| 110 | Santa Cruz de la Palma Canary Islands, Spain | 20.9 | |
| 110 | Kościan Greater Poland, Poland | 20.9 | |
| 112 | Kutno Łódź Voivodeship, Poland | 20.8 | |
| 113 | Algiers Algiers, Algeria | 20.7 | |
| 113 | Salamanca Guanajuato, Mexico | 20.7 | |
| 115 | Vigo Galicia, Spain | 20.6 | |
| 115 | Bra Piedmont, Italy | 20.6 | |
| 117 | San Isidro Canary Islands, Spain | 20.5 | |
| 118 | Klagenfurt am Wörthersee Carinthia, Austria | 20.4 | |
| 119 | Agüimes Canary Islands, Spain | 20.3 | |
| 120 | San Tung Chung Hang Islands, Hong Kong | 20.2 | |
| 121 | Guangzhou Guangdong, China | 20.1 | |
| 121 | Lleida Catalonia, Spain | 20.1 | |
| 123 | Wolfsberg Carinthia, Austria | 19.9 | |
| 124 | Iaşi Iași County, Romania | 19.8 | |
| 125 | Vimercate Lombardy, Italy | 19.7 | |
| 126 | Monaco Municipality of Monaco, Monaco | 19.5 | |
| 127 | Ceglie Messapica Apulia, Italy | 19.3 | |
| 127 | Fairbanks Alaska, United States | 19.3 | |
| 129 | Molina de Segura Murcia, Spain | 19.0 | |
| 129 | Arona Canary Islands, Spain | 19.0 | |
| 129 | Arles Provence-Alpes-Côte d'Azur, France | 19.0 | |
| 129 | Kalisz Greater Poland, Poland | 19.0 | |
| 129 | Lancaster Pennsylvania, United States | 19.0 | |
| 134 | Gostivar Gostivar, North Macedonia | 18.9 | |
| 134 | Bailén Andalusia, Spain | 18.9 | |
| 134 | Pesaro The Marches, Italy | 18.9 | |
| 137 | Murcia Murcia, Spain | 18.8 | |
| 138 | Przemyśl Subcarpathia, Poland | 18.6 | |
| 138 | Żywiec Silesia, Poland | 18.6 | |
| 140 | Santa Anita - Los Ficus Lima region, Peru | 18.5 | |
| 141 | Borgomanero Piedmont, Italy | 18.4 | |
| 142 | Katowice Silesia, Poland | 18.3 | |
| 143 | Racibórz Silesia, Poland | 18.2 | |
| 144 | Graz Styria, Austria | 18.1 | |
| 144 | Kościerzyna Pomerania, Poland | 18.1 | |
| 144 | Ciutadella Balearic Islands, Spain | 18.1 | |
| 147 | Sevlievo low-cost sensors Gabrovo, Bulgaria | 18.0 | |
| 147 | Poggibonsi Tuscany, Italy | 18.0 | |
| 147 | Ancona The Marches, Italy | 18.0 | |
| 147 | León de los Aldama Guanajuato, Mexico | 18.0 | |
| 151 | Radom Mazovia, Poland | 17.9 | |
| 151 | Ingenio Canary Islands, Spain | 17.9 | |
| 153 | Quezon City low-cost sensors National Capital Region, Philippines | 17.8 | |
| 153 | Fanling North District, Hong Kong | 17.8 | |
| 153 | Marignane Provence-Alpes-Côte d'Azur, France | 17.8 | |
| 156 | Girona Catalonia, Spain | 17.7 | |
| 157 | Mong Kok Yau Tsim Mong District, Hong Kong | 17.6 | |
| 158 | Astana Astana, Kazakhstan | 17.5 | |
| 158 | Tsuen Wan Tsuen Wan, Hong Kong | 17.5 | |
| 158 | Veszprém Veszprém, Hungary | 17.5 | |
| 161 | Acharnés Attica, Greece | 17.3 | |
| 161 | Montpellier Occitanie, France | 17.3 | |
| 161 | Florence Tuscany, Italy | 17.3 | |
| 164 | Humenné Prešov Region, Slovakia | 17.2 | |
| 164 | Dębica Subcarpathia, Poland | 17.2 | |
| 164 | Żabbar Ħaż-Żabbar, Malta | 17.2 | |
| 164 | Bydgoszcz Kujawsko-Pomorskie, Poland | 17.2 | |
| 168 | Barcelona Catalonia, Spain | 17.1 | |
| 169 | Vranov nad Topľou Prešov Region, Slovakia | 17.0 | |
| 170 | Náchod Hradec Králové Region, Czechia | 16.9 | |
| 171 | Sallanches Auvergne-Rhône-Alpes, France | 16.8 | |
| 171 | Łask Łódź Voivodeship, Poland | 16.8 | |
| 171 | Rijeka Primorje-Gorski Kotar, Croatia | 16.8 | |
| 171 | East Ridge Tennessee, United States | 16.8 | |
| 175 | Telde Canary Islands, Spain | 16.6 | |
| 175 | Arucas Canary Islands, Spain | 16.6 | |
| 175 | Meylan Auvergne-Rhône-Alpes, France | 16.6 | |
| 175 | Lębork Pomerania, Poland | 16.6 | |
| 179 | Żyrardów Mazovia, Poland | 16.5 | |
| 179 | Antananarivo Analamanga, Madagascar | 16.5 | |
| 179 | Gardanne Provence-Alpes-Côte d'Azur, France | 16.5 | |
| 179 | Fréjus Provence-Alpes-Côte d'Azur, France | 16.5 | |
| 179 | Fabriano The Marches, Italy | 16.5 | |
| 179 | Koprivnica Koprivnica-Križevci, Croatia | 16.5 | |
| 185 | San Roque Andalusia, Spain | 16.4 | |
| 185 | Gijón Asturias, Spain | 16.4 | |
| 187 | Jeddah Mecca Region, Saudi Arabia | 16.3 | |
| 187 | Tai Po Tai Po, Hong Kong | 16.3 | |
| 187 | Novi Sad Vojvodina, Serbia | 16.3 | |
| 190 | Zamość Lublin, Poland | 16.2 | |
| 190 | Nisko Subcarpathia, Poland | 16.2 | |
| 190 | Massa Tuscany, Italy | 16.2 | |
| 190 | Bensalem Pennsylvania, United States | 16.2 | |
| 194 | Naples Campania, Italy | 16.1 | |
| 195 | Sliema Tas-Sliema, Malta | 16.0 | |
| 195 | Czechowice-Dziedzice Silesia, Poland | 16.0 | |
| 197 | Legionowo Mazovia, Poland | 15.9 | |
| 198 | Addis Ababa Addis Ababa, Ethiopia | 15.8 | |
| 198 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 15.8 | |
| 198 | Viareggio Tuscany, Italy | 15.8 |
Top 200 of 2,058 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