SmogRank / History / week of May 27, 2024
Most polluted cities, week of May 27, 2024
2,011 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 | Mumbai Maharashtra, India | 199.1 | |
| 2 | N'Djamena N’Djaména, Chad | 127.0 | |
| 3 | Santa Anita - Los Ficus Lima region, Peru | 91.1 | |
| 4 | Vereeniging low-cost sensors Gauteng, South Africa | 67.0 | |
| 5 | Delhi Delhi, India | 63.9 | |
| 6 | Lahore low-cost sensors Punjab, Pakistan | 60.4 | |
| 7 | Belmopan Cayo District, Belize | 58.5 | |
| 8 | Jakarta Jakarta, Indonesia | 54.2 | |
| 9 | Baghdad Baghdad, Iraq | 51.9 | |
| 10 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 50.4 | |
| 11 | Baku Baki, Azerbaijan | 47.5 | |
| 12 | Islamabad low-cost sensors Islamabad, Pakistan | 45.9 | |
| 13 | Addis Ababa Addis Ababa, Ethiopia | 43.6 | |
| 14 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 42.1 | |
| 15 | Kathmandu low-cost sensors Bagmati Province, Nepal | 40.7 | |
| 16 | Lima Lima Province, Peru | 38.8 | |
| 17 | Hyderabad Telangana, India | 38.3 | |
| 18 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 38.0 | |
| 19 | Cairo Cairo, Egypt | 37.4 | |
| 20 | San Francisco De Borja Lima region, Peru | 36.0 | |
| 21 | Şabāḩ as Sālim Mubārak al Kabīr, Kuwait | 35.2 | |
| 22 | Rabinal Baja Verapaz, Guatemala | 34.9 | |
| 23 | Hanoi Hanoi, Vietnam | 34.7 | |
| 24 | Kampala low-cost sensors Central Region, Uganda | 34.3 | |
| 25 | Guatemala City Guatemala, Guatemala | 34.1 | |
| 26 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 33.1 | |
| 27 | Maputo Maputo City, Mozambique | 31.9 | |
| 28 | Mission Texas, United States | 31.6 | |
| 29 | Beijing Beijing, China | 30.3 | |
| 29 | San Luis de la Paz Guanajuato, Mexico | 30.3 | |
| 29 | Celaya Guanajuato, Mexico | 30.3 | |
| 32 | Irapuato Guanajuato, Mexico | 28.7 | |
| 33 | Santiago de Querétaro Querétaro, Mexico | 28.3 | |
| 34 | Edinburg Texas, United States | 27.0 | |
| 35 | Kolkata West Bengal, India | 26.1 | |
| 36 | Corpus Christi Texas, United States | 25.8 | |
| 37 | San Miguel de Allende Guanajuato, Mexico | 25.7 | |
| 37 | Brownsville Texas, United States | 25.7 | |
| 39 | Laredo Texas, United States | 25.0 | |
| 39 | Rangiora Canterbury, New Zealand | 25.0 | |
| 41 | Silao de la Victoria Guanajuato, Mexico | 24.9 | |
| 42 | León de los Aldama Guanajuato, Mexico | 24.8 | |
| 43 | Ashgabat Ashgabat, Turkmenistan | 24.2 | |
| 44 | Shanghai Shanghai, China | 23.3 | |
| 45 | Jacobo Hunter Arequipa, Peru | 23.2 | |
| 46 | Live Oak Texas, United States | 23.0 | |
| 47 | Abuja low-cost sensors FCT, Nigeria | 22.8 | |
| 48 | Callao Callao, Peru | 22.4 | |
| 49 | Eagle Pass Texas, United States | 22.1 | |
| 50 | Antananarivo Analamanga, Madagascar | 21.7 | |
| 51 | Guanajuato Guanajuato, Mexico | 21.4 | |
| 52 | Aguascalientes Aguascalientes, Mexico | 20.3 | |
| 53 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 20.2 | |
| 54 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 20.0 | |
| 55 | Chimbote Ancash, Peru | 18.8 | |
| 56 | Austin Texas, United States | 18.7 | |
| 56 | La Crescenta-Montrose low-cost sensors California, United States | 18.7 | |
| 58 | Vilnius Vilnius, Lithuania | 18.6 | |
| 58 | Chocope La Libertad, Peru | 18.6 | |
| 60 | Pori Satakunta, Finland | 18.5 | |
| 61 | Houston Texas, United States | 18.1 | |
| 62 | Jaén Andalusia, Spain | 17.5 | |
| 63 | Missouri City Texas, United States | 17.2 | |
| 63 | Pasadena Texas, United States | 17.2 | |
| 65 | Villa Poeta José Gálvez Barrenechea Lima region, Peru | 17.0 | |
| 65 | Mission Bend Texas, United States | 17.0 | |
| 67 | Wan Chai Wan Chai, Hong Kong | 16.9 | |
| 67 | San Antonio Texas, United States | 16.9 | |
| 69 | Szczecin West Pomerania, Poland | 16.8 | |
| 69 | Salamanca Guanajuato, Mexico | 16.8 | |
| 69 | Abasolo Guanajuato, Mexico | 16.8 | |
| 72 | Christchurch Canterbury, New Zealand | 16.7 | |
| 72 | Sevilla Andalusia, Spain | 16.7 | |
| 74 | Jyväskylä Central Finland, Finland | 16.2 | |
| 75 | Conroe Texas, United States | 16.1 | |
| 76 | Bailén Andalusia, Spain | 16.0 | |
| 77 | Ćuprija Central Serbia, Serbia | 15.7 | |
| 77 | Fontana California, United States | 15.7 | |
| 79 | Burriana Valencia, Spain | 15.5 | |
| 79 | Ourense Galicia, Spain | 15.5 | |
| 81 | Accra low-cost sensors Greater Accra, Ghana | 15.4 | |
| 81 | Santa Clarita California, United States | 15.4 | |
| 83 | Helsinki Uusimaa, Finland | 15.3 | |
| 83 | Grajewo Podlasie, Poland | 15.3 | |
| 83 | Asunción low-cost sensors Asuncion, Paraguay | 15.3 | |
| 86 | Los Angeles California, United States | 15.2 | |
| 87 | Dushanbe Dushanbe, Tajikistan | 15.1 | |
| 88 | Toruń Kujawsko-Pomorskie, Poland | 14.9 | |
| 89 | Myyrmäki Uusimaa, Finland | 14.8 | |
| 89 | Briton Ferry Wales, United Kingdom | 14.8 | |
| 91 | Kuopio North Savo, Finland | 14.7 | |
| 91 | Guangzhou Guangdong, China | 14.7 | |
| 91 | Zielona Góra Lubusz, Poland | 14.7 | |
| 94 | Umeå Västerbotten, Sweden | 14.6 | |
| 95 | Augustów Podlasie, Poland | 14.5 | |
| 95 | Tijuana Baja California, Mexico | 14.5 | |
| 97 | Włocławek Kujawsko-Pomorskie, Poland | 14.2 | |
| 97 | Gdynia Pomerania, Poland | 14.2 | |
| 97 | Saginaw Texas, United States | 14.2 | |
| 100 | Quezon City low-cost sensors National Capital Region, Philippines | 14.1 | |
| 100 | Jastrzębie Zdrój Silesia, Poland | 14.1 | |
| 102 | Granada Andalusia, Spain | 14.0 | |
| 102 | Racibórz Silesia, Poland | 14.0 | |
| 102 | Shikokuchūō Ehime, Japan | 14.0 | |
| 105 | Jurupa Valley California, United States | 13.9 | |
| 106 | Timaru Canterbury, New Zealand | 13.8 | |
| 106 | College Station Texas, United States | 13.8 | |
| 108 | Olsztyn Warmia-Masuria, Poland | 13.7 | |
| 108 | Saijō Ehime, Japan | 13.7 | |
| 108 | Beni Enzar Oriental, Morocco | 13.7 | |
| 108 | Gdańsk Pomerania, Poland | 13.7 | |
| 108 | La Porte Texas, United States | 13.7 | |
| 108 | Burbank California, United States | 13.7 | |
| 114 | Huelva Andalusia, Spain | 13.6 | |
| 115 | Athens Attica, Greece | 13.5 | |
| 116 | Gorzów Wielkopolski Lubusz, Poland | 13.4 | |
| 116 | Berkeley California, United States | 13.4 | |
| 116 | Ashburton Canterbury, New Zealand | 13.4 | |
| 119 | Sydney low-cost sensors New South Wales, Australia | 13.3 | |
| 119 | Bydgoszcz Kujawsko-Pomorskie, Poland | 13.3 | |
| 121 | Kasaoka Okayama, Japan | 13.2 | |
| 121 | Corsicana Texas, United States | 13.2 | |
| 123 | Klaukkala Uusimaa, Finland | 13.1 | |
| 123 | Legionowo Mazovia, Poland | 13.1 | |
| 123 | Algiers Algiers, Algeria | 13.1 | |
| 123 | Sundsvall Västernorrland, Sweden | 13.1 | |
| 127 | Lorca Murcia, Spain | 13.0 | |
| 127 | Valjevo Central Serbia, Serbia | 13.0 | |
| 127 | Galveston Texas, United States | 13.0 | |
| 127 | Agoura low-cost sensors California, United States | 13.0 | |
| 131 | Yoshioka Miyagi, Japan | 12.9 | |
| 131 | Poznań Greater Poland, Poland | 12.9 | |
| 131 | Dallas Texas, United States | 12.9 | |
| 131 | Glendora California, United States | 12.9 | |
| 131 | Riverside California, United States | 12.9 | |
| 136 | Niihama Ehime, Japan | 12.8 | |
| 136 | Sopot Pomerania, Poland | 12.8 | |
| 136 | Bend Oregon, United States | 12.8 | |
| 139 | Lahti Paijat-Hame, Finland | 12.7 | |
| 139 | Shulin Taipei, Taiwan | 12.7 | |
| 139 | Fabriano The Marches, Italy | 12.7 | |
| 142 | Cártama Andalusia, Spain | 12.6 | |
| 142 | Świecie Kujawsko-Pomorskie, Poland | 12.6 | |
| 142 | Kołobrzeg West Pomerania, Poland | 12.6 | |
| 142 | Bielsko-Biala Silesia, Poland | 12.6 | |
| 142 | Sulphur Louisiana, United States | 12.6 | |
| 147 | Riga Riga, Latvia | 12.5 | |
| 147 | Siedlce Mazovia, Poland | 12.5 | |
| 147 | San Roque Andalusia, Spain | 12.5 | |
| 147 | Kutno Łódź Voivodeship, Poland | 12.5 | |
| 147 | Kalisz Greater Poland, Poland | 12.5 | |
| 147 | Užice Central Serbia, Serbia | 12.5 | |
| 147 | Bakersfield California, United States | 12.5 | |
| 147 | Brawley California, United States | 12.5 | |
| 155 | Nakatsu Oita, Japan | 12.4 | |
| 156 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 12.3 | |
| 156 | Pruszków Mazovia, Poland | 12.3 | |
| 156 | Murcia Murcia, Spain | 12.3 | |
| 156 | Falconara Marittima The Marches, Italy | 12.3 | |
| 160 | Ventspils Ventspils, Latvia | 12.2 | |
| 160 | Vantaa Uusimaa, Finland | 12.2 | |
| 160 | Ocala Florida, United States | 12.2 | |
| 163 | Acharnés Attica, Greece | 12.1 | |
| 163 | Kraljevo Central Serbia, Serbia | 12.1 | |
| 163 | Wangaratta Victoria, Australia | 12.1 | |
| 163 | Teltow Brandenburg, Germany | 12.1 | |
| 163 | Radomsko Łódź Voivodeship, Poland | 12.1 | |
| 163 | Bizen Okayama, Japan | 12.1 | |
| 169 | Kaunas Kaunas, Lithuania | 12.0 | |
| 169 | Łuków Lublin, Poland | 12.0 | |
| 169 | Zhubei Taiwan, Taiwan | 12.0 | |
| 169 | Molina de Segura Murcia, Spain | 12.0 | |
| 173 | Prešov Prešov Region, Slovakia | 11.9 | |
| 173 | Białystok Podlasie, Poland | 11.9 | |
| 173 | Novi Pazar Central Serbia, Serbia | 11.9 | |
| 173 | Ikedachō Tokushima, Japan | 11.9 | |
| 173 | La Línea de la Concepción Andalusia, Spain | 11.9 | |
| 173 | Fort Worth Texas, United States | 11.9 | |
| 173 | Odessa Texas, United States | 11.9 | |
| 180 | Jurong West Singapore | 11.8 | |
| 180 | Berlin State of Berlin, Germany | 11.8 | |
| 180 | Kościan Greater Poland, Poland | 11.8 | |
| 183 | Lappeenranta South Karelia, Finland | 11.7 | |
| 183 | Konstancin-Jeziorna Mazovia, Poland | 11.7 | |
| 183 | Tumba Stockholm, Sweden | 11.7 | |
| 183 | Chikugo Fukuoka, Japan | 11.7 | |
| 187 | Skellefteå Västerbotten, Sweden | 11.6 | |
| 187 | Neubrandenburg Mecklenburg-Vorpommern, Germany | 11.6 | |
| 187 | Katowice Silesia, Poland | 11.6 | |
| 187 | Lafayette Louisiana, United States | 11.6 | |
| 191 | Otwock Mazovia, Poland | 11.5 | |
| 191 | Działdowo Warmia-Masuria, Poland | 11.5 | |
| 191 | Kan’onjichō Kagawa, Japan | 11.5 | |
| 191 | Łask Łódź Voivodeship, Poland | 11.5 | |
| 191 | Kędzierzyn-Koźle Opole Voivodeship, Poland | 11.5 | |
| 191 | Baton Rouge Louisiana, United States | 11.5 | |
| 191 | Hobbs New Mexico, United States | 11.5 | |
| 198 | Rēzekne Rēzekne, Latvia | 11.4 | |
| 198 | Ruse Ruse, Bulgaria | 11.4 | |
| 198 | Tainan Taiwan, Taiwan | 11.4 |
Top 200 of 2,011 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