SmogRank / History / week of August 12, 2024
Most polluted cities, week of August 12, 2024
1,542 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 | Santa Anita - Los Ficus Lima region, Peru | 84.7 | |
| 2 | Fort McMurray Alberta, Canada | 58.2 | |
| 3 | Edmonton Alberta, Canada | 56.6 | |
| 4 | Grande Prairie Alberta, Canada | 53.1 | |
| 5 | Jakarta Jakarta, Indonesia | 52.9 | |
| 6 | Asunción low-cost sensors Asuncion, Paraguay | 52.6 | |
| 7 | Baghdad Baghdad, Iraq | 47.3 | |
| 8 | Lahore low-cost sensors Punjab, Pakistan | 44.5 | |
| 9 | Kampala low-cost sensors Central Region, Uganda | 39.8 | |
| 10 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 39.3 | |
| 11 | Saskatoon Saskatchewan, Canada | 38.7 | |
| 12 | Swift Current Saskatchewan, Canada | 38.6 | |
| 13 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 36.7 | |
| 13 | St. Albert Alberta, Canada | 36.7 | |
| 15 | Şabāḩ as Sālim Mubārak al Kabīr, Kuwait | 35.8 | |
| 16 | Regina Saskatchewan, Canada | 34.8 | |
| 17 | Vereeniging low-cost sensors Gauteng, South Africa | 34.1 | |
| 18 | Kolkata West Bengal, India | 33.4 | |
| 19 | Lima Lima Province, Peru | 33.1 | |
| 20 | Airdrie Alberta, Canada | 31.2 | |
| 21 | Iloilo low-cost sensors Western Visayas, Philippines | 30.0 | |
| 22 | Calgary Alberta, Canada | 29.5 | |
| 23 | Red Deer Alberta, Canada | 29.3 | |
| 23 | San Francisco De Borja Lima region, Peru | 29.3 | |
| 25 | Saguenay Quebec, Canada | 29.1 | |
| 26 | Callao Callao, Peru | 28.7 | |
| 27 | Medicine Hat Alberta, Canada | 27.4 | |
| 28 | Sherwood Park Alberta, Canada | 27.2 | |
| 29 | Antananarivo Analamanga, Madagascar | 26.9 | |
| 30 | Addis Ababa Addis Ababa, Ethiopia | 26.6 | |
| 31 | Beijing Beijing, China | 25.8 | |
| 32 | Nepean low-cost sensors Ontario, Canada | 24.9 | |
| 33 | Hyderabad Telangana, India | 24.8 | |
| 34 | Edmundston New Brunswick, Canada | 24.3 | |
| 35 | Prince George British Columbia, Canada | 24.1 | |
| 36 | Maputo Maputo City, Mozambique | 23.4 | |
| 37 | Jacobo Hunter Arequipa, Peru | 23.0 | |
| 38 | Abuja low-cost sensors FCT, Nigeria | 22.8 | |
| 39 | Québec Quebec, Canada | 22.5 | |
| 40 | Islamabad low-cost sensors Islamabad, Pakistan | 22.0 | |
| 40 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 22.0 | |
| 40 | Villa Poeta José Gálvez Barrenechea Lima region, Peru | 22.0 | |
| 43 | Banja Luka Srpska, Bosnia and Herzegovina | 21.9 | |
| 44 | L'Ancienne-Lorette Quebec, Canada | 21.8 | |
| 45 | N'Djamena N’Djaména, Chad | 21.3 | |
| 46 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 20.9 | |
| 47 | Radomsko Łódź Voivodeship, Poland | 20.7 | |
| 48 | Chocope La Libertad, Peru | 20.4 | |
| 48 | Superior Wisconsin, United States | 20.4 | |
| 50 | Rangiora Canterbury, New Zealand | 20.0 | |
| 51 | Duluth Minnesota, United States | 19.9 | |
| 52 | Baku Baki, Azerbaijan | 19.8 | |
| 53 | Minamata Kumamoto, Japan | 19.7 | |
| 54 | Tamana Kumamoto, Japan | 19.6 | |
| 55 | Ōzu Kumamoto, Japan | 19.4 | |
| 55 | Shawinigan Quebec, Canada | 19.4 | |
| 57 | Delhi Delhi, India | 19.3 | |
| 58 | Wan Chai Wan Chai, Hong Kong | 18.7 | |
| 58 | Algiers Algiers, Algeria | 18.7 | |
| 60 | Shanghai Shanghai, China | 18.4 | |
| 60 | Bend Oregon, United States | 18.4 | |
| 62 | Sorel-Tracy Quebec, Canada | 18.3 | |
| 63 | Arao Kumamoto, Japan | 18.2 | |
| 64 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 18.1 | |
| 64 | Hondomachi-hondo Kumamoto, Japan | 18.1 | |
| 64 | Trois-Rivières Quebec, Canada | 18.1 | |
| 67 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 18.0 | |
| 68 | Honmachi Kumamoto, Japan | 17.9 | |
| 69 | Redford Michigan, United States | 17.8 | |
| 70 | Albany New York, United States | 17.6 | |
| 71 | Thunder Bay Ontario, Canada | 17.5 | |
| 72 | Sherbrooke Quebec, Canada | 17.4 | |
| 73 | Kotō Kumamoto, Japan | 17.3 | |
| 74 | Karachi low-cost sensors Sindh, Pakistan | 17.2 | |
| 74 | Saiki Oita, Japan | 17.2 | |
| 76 | Yauri Cuzco Department, Peru | 17.1 | |
| 76 | Dorval Quebec, Canada | 17.1 | |
| 76 | Rivière-des-Prairies–Pointe-aux-Trembles Quebec, Canada | 17.1 | |
| 79 | Bismarck North Dakota, United States | 16.9 | |
| 80 | Kathmandu low-cost sensors Bagmati Province, Nepal | 16.8 | |
| 80 | Ōyanomachi-noboritate Kumamoto, Japan | 16.8 | |
| 80 | Nichinan Miyazaki, Japan | 16.8 | |
| 80 | Kikuchi Kumamoto, Japan | 16.8 | |
| 84 | Kumamoto Kumamoto, Japan | 16.7 | |
| 84 | Great Falls Montana, United States | 16.7 | |
| 86 | Guangzhou Guangdong, China | 16.6 | |
| 87 | Ōtsuki Yamanashi, Japan | 16.5 | |
| 88 | Ōmuta Fukuoka, Japan | 16.4 | |
| 88 | Nobeoka Miyazaki, Japan | 16.4 | |
| 88 | Lowell Massachusetts, United States | 16.4 | |
| 88 | Drummondville Quebec, Canada | 16.4 | |
| 92 | Kanoya Kagoshima, Japan | 16.3 | |
| 92 | Hitoyoshi Kumamoto, Japan | 16.3 | |
| 92 | Augusta Maine, United States | 16.3 | |
| 95 | Uekimachi-mōno Kumamoto, Japan | 16.2 | |
| 95 | Tijuana Baja California, Mexico | 16.2 | |
| 97 | Uto Kumamoto, Japan | 16.1 | |
| 97 | Boston Massachusetts, United States | 16.1 | |
| 99 | Kamloops British Columbia, Canada | 16.0 | |
| 99 | Minamikyushu Kagoshima, Japan | 16.0 | |
| 101 | Kobayashi Miyazaki, Japan | 15.9 | |
| 101 | Lethbridge Alberta, Canada | 15.9 | |
| 103 | Sendai Kagoshima, Japan | 15.8 | |
| 103 | Mifune Kumamoto, Japan | 15.8 | |
| 105 | Kagoshima Kagoshima, Japan | 15.7 | |
| 105 | Shenyang Liaoning, China | 15.7 | |
| 105 | Chikugo Fukuoka, Japan | 15.7 | |
| 108 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 15.6 | |
| 108 | Philadelphia Pennsylvania, United States | 15.6 | |
| 110 | Yamaga Kumamoto, Japan | 15.5 | |
| 110 | Hartford Connecticut, United States | 15.5 | |
| 110 | Brockton Massachusetts, United States | 15.5 | |
| 110 | Haverhill Massachusetts, United States | 15.5 | |
| 110 | Montréal Quebec, Canada | 15.5 | |
| 115 | Derry New Hampshire, United States | 15.4 | |
| 115 | Ayase Kanagawa, Japan | 15.4 | |
| 117 | Obrenovac Central Serbia, Serbia | 15.3 | |
| 117 | Ōita Oita, Japan | 15.3 | |
| 119 | Jincheng Fukien, Taiwan | 15.2 | |
| 119 | Kushikino Kagoshima, Japan | 15.2 | |
| 119 | Worcester Massachusetts, United States | 15.2 | |
| 119 | Rutland Vermont, United States | 15.2 | |
| 123 | North Charleston South Carolina, United States | 15.1 | |
| 123 | Altamont Oregon, United States | 15.1 | |
| 125 | Zemun Central Serbia, Serbia | 15.0 | |
| 125 | Bartlett Tennessee, United States | 15.0 | |
| 127 | Jurong West Singapore | 14.9 | |
| 127 | Chimbote Ancash, Peru | 14.9 | |
| 127 | Augusta Georgia, United States | 14.9 | |
| 127 | Springfield Massachusetts, United States | 14.9 | |
| 131 | Shreveport Louisiana, United States | 14.8 | |
| 131 | Columbia low-cost sensors Missouri, United States | 14.8 | |
| 131 | Meridian Idaho, United States | 14.8 | |
| 131 | Redmond Oregon, United States | 14.8 | |
| 135 | Miyakonojō Miyazaki, Japan | 14.7 | |
| 135 | Katowice Silesia, Poland | 14.7 | |
| 135 | Birmingham Alabama, United States | 14.7 | |
| 135 | Lynn Massachusetts, United States | 14.7 | |
| 135 | Brossard Quebec, Canada | 14.7 | |
| 140 | Takanabe Miyazaki, Japan | 14.6 | |
| 140 | Izumi Kagoshima, Japan | 14.6 | |
| 140 | Danbury Connecticut, United States | 14.6 | |
| 140 | Portsmouth New Hampshire, United States | 14.6 | |
| 140 | Fontana California, United States | 14.6 | |
| 145 | Obita Nagasaki, Japan | 14.5 | |
| 145 | Miyazaki Miyazaki, Japan | 14.5 | |
| 145 | Conroe Texas, United States | 14.5 | |
| 145 | Shintomi Miyazaki, Japan | 14.5 | |
| 149 | Isahaya Nagasaki, Japan | 14.4 | |
| 149 | Keene New Hampshire, United States | 14.4 | |
| 149 | Hyūga Miyazaki, Japan | 14.4 | |
| 152 | Ulu Bedok Singapore | 14.3 | |
| 152 | Aso Kumamoto, Japan | 14.3 | |
| 154 | Nakatsu Oita, Japan | 14.2 | |
| 154 | Portland Maine, United States | 14.2 | |
| 154 | Harrisburg Pennsylvania, United States | 14.2 | |
| 157 | Ōmura Nagasaki, Japan | 14.1 | |
| 157 | Ang Mo Kio New Town Singapore | 14.1 | |
| 157 | Jastrzębie Zdrój Silesia, Poland | 14.1 | |
| 157 | Quincy Massachusetts, United States | 14.1 | |
| 157 | Chula Vista California, United States | 14.1 | |
| 157 | Kirishima Kagoshima, Japan | 14.1 | |
| 163 | Lazarevac Central Serbia, Serbia | 14.0 | |
| 163 | Accra low-cost sensors Greater Accra, Ghana | 14.0 | |
| 163 | Chesapeake Virginia, United States | 14.0 | |
| 163 | Fall River Massachusetts, United States | 14.0 | |
| 163 | Jurupa Valley California, United States | 14.0 | |
| 163 | Nampa Idaho, United States | 14.0 | |
| 169 | Matsuyama Ehime, Japan | 13.9 | |
| 170 | Takasaki Gunma, Japan | 13.6 | |
| 170 | Nakamura Kochi, Japan | 13.6 | |
| 170 | Kochi Kochi, Japan | 13.6 | |
| 170 | Lawrenceville Georgia, United States | 13.6 | |
| 170 | East Hampton Virginia, United States | 13.6 | |
| 170 | Burbank California, United States | 13.6 | |
| 170 | Los Angeles California, United States | 13.6 | |
| 177 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 13.5 | |
| 177 | Togitsu Nagasaki, Japan | 13.5 | |
| 177 | Bangor Maine, United States | 13.5 | |
| 177 | New York City New York, United States | 13.5 | |
| 181 | Dover Delaware, United States | 13.4 | |
| 181 | Ottawa Ontario, Canada | 13.4 | |
| 181 | Ukiha Fukuoka, Japan | 13.4 | |
| 184 | Valdosta Georgia, United States | 13.3 | |
| 184 | Baton Rouge Louisiana, United States | 13.3 | |
| 184 | Providence Rhode Island, United States | 13.3 | |
| 187 | Nagasaki Nagasaki, Japan | 13.2 | |
| 187 | Waterbury Connecticut, United States | 13.2 | |
| 187 | North Chicopee Massachusetts, United States | 13.2 | |
| 190 | Kielce Świętokrzyskie, Poland | 13.1 | |
| 190 | Belgrade Central Serbia, Serbia | 13.1 | |
| 190 | Iyo Ehime, Japan | 13.1 | |
| 190 | New London Connecticut, United States | 13.1 | |
| 190 | Bensalem Pennsylvania, United States | 13.1 | |
| 195 | Chennai Tamil Nadu, India | 13.0 | |
| 195 | Kalisz Greater Poland, Poland | 13.0 | |
| 195 | Chester Pennsylvania, United States | 13.0 | |
| 195 | Pittsfield Massachusetts, United States | 13.0 | |
| 195 | West Mifflin Pennsylvania, United States | 13.0 | |
| 195 | Boise Idaho, United States | 13.0 |
Top 200 of 1,542 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