SmogRank / History / week of July 29, 2024
Most polluted cities, week of July 29, 2024
1,996 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 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 126.9 | |
| 2 | Dushanbe Dushanbe, Tajikistan | 82.6 | |
| 3 | Santa Anita - Los Ficus Lima region, Peru | 75.4 | |
| 4 | Shenyang Liaoning, China | 59.8 | |
| 5 | Lahore low-cost sensors Punjab, Pakistan | 55.8 | |
| 6 | Kampala low-cost sensors Central Region, Uganda | 48.9 | |
| 7 | Cairo Cairo, Egypt | 45.5 | |
| 8 | Antananarivo Analamanga, Madagascar | 44.1 | |
| 9 | Vereeniging low-cost sensors Gauteng, South Africa | 43.1 | |
| 10 | Şabāḩ as Sālim Mubārak al Kabīr, Kuwait | 42.6 | |
| 11 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 40.8 | |
| 12 | Baghdad Baghdad, Iraq | 40.3 | |
| 13 | Lima Lima Province, Peru | 38.6 | |
| 14 | Jakarta Jakarta, Indonesia | 38.4 | |
| 15 | Ashgabat Ashgabat, Turkmenistan | 37.8 | |
| 16 | Asunción low-cost sensors Asuncion, Paraguay | 36.6 | |
| 17 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 35.1 | |
| 18 | Baku Baki, Azerbaijan | 33.7 | |
| 19 | Kathmandu low-cost sensors Bagmati Province, Nepal | 33.3 | |
| 19 | San Francisco De Borja Lima region, Peru | 33.3 | |
| 21 | Paradise California, United States | 31.0 | |
| 22 | Callao Callao, Peru | 29.3 | |
| 23 | Prince Albert Saskatchewan, Canada | 28.6 | |
| 24 | Chico California, United States | 28.2 | |
| 25 | Nepean low-cost sensors Ontario, Canada | 28.1 | |
| 26 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 27.5 | |
| 27 | Bend Oregon, United States | 26.1 | |
| 28 | Beijing Beijing, China | 25.7 | |
| 29 | Karachi low-cost sensors Sindh, Pakistan | 25.5 | |
| 30 | Meridian Idaho, United States | 25.4 | |
| 31 | Villa Poeta José Gálvez Barrenechea Lima region, Peru | 23.5 | |
| 31 | Nampa Idaho, United States | 23.5 | |
| 33 | Strumica Strumica, North Macedonia | 23.1 | |
| 34 | Boise Idaho, United States | 22.8 | |
| 35 | Addis Ababa Addis Ababa, Ethiopia | 22.7 | |
| 36 | Chennai Tamil Nadu, India | 22.6 | |
| 37 | Shreveport Louisiana, United States | 22.5 | |
| 38 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 22.4 | |
| 39 | Bartlett Tennessee, United States | 21.8 | |
| 40 | Altamont Oregon, United States | 21.4 | |
| 40 | Redmond Oregon, United States | 21.4 | |
| 42 | Hanoi Hanoi, Vietnam | 20.9 | |
| 42 | West Memphis Arkansas, United States | 20.9 | |
| 44 | Birmingham Alabama, United States | 20.6 | |
| 45 | Ōtsuki Yamanashi, Japan | 20.5 | |
| 46 | Chocope La Libertad, Peru | 20.4 | |
| 47 | Little Rock Arkansas, United States | 20.1 | |
| 48 | Delhi Delhi, India | 20.0 | |
| 48 | Longmont Colorado, United States | 20.0 | |
| 50 | Jacobo Hunter Arequipa, Peru | 19.9 | |
| 51 | Nobeoka Miyazaki, Japan | 19.6 | |
| 51 | Twin Falls Idaho, United States | 19.6 | |
| 51 | Yakima Washington, United States | 19.6 | |
| 54 | Conroe Texas, United States | 19.5 | |
| 55 | Bountiful Utah, United States | 19.4 | |
| 56 | Texarkana Texas, United States | 19.3 | |
| 57 | Kolkata West Bengal, India | 19.2 | |
| 58 | Mission Texas, United States | 19.1 | |
| 59 | Pocatello Idaho, United States | 18.9 | |
| 59 | Great Falls Montana, United States | 18.9 | |
| 61 | Saginaw Texas, United States | 18.8 | |
| 62 | Abuja low-cost sensors FCT, Nigeria | 18.6 | |
| 63 | Port Arthur Texas, United States | 18.4 | |
| 64 | Millcreek Utah, United States | 18.1 | |
| 65 | Fort Worth Texas, United States | 18.0 | |
| 66 | Springdale Arkansas, United States | 17.6 | |
| 66 | Lexington low-cost sensors Massachusetts, United States | 17.6 | |
| 68 | Lochristi Flanders, Belgium | 17.5 | |
| 68 | Evergem Flanders, Belgium | 17.5 | |
| 68 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 17.5 | |
| 68 | Corsicana Texas, United States | 17.5 | |
| 68 | Saskatoon Saskatchewan, Canada | 17.5 | |
| 73 | Moore Oklahoma, United States | 17.4 | |
| 73 | Tooele Utah, United States | 17.4 | |
| 75 | Gotemba Shizuoka, Japan | 17.3 | |
| 75 | Houston Texas, United States | 17.3 | |
| 75 | Ashburton Canterbury, New Zealand | 17.3 | |
| 78 | Sunnyside Washington, United States | 17.2 | |
| 79 | McAlester Oklahoma, United States | 17.1 | |
| 80 | Bitola Bitola, North Macedonia | 17.0 | |
| 80 | Hernando Mississippi, United States | 17.0 | |
| 80 | Lewiston Idaho, United States | 17.0 | |
| 83 | Ada Oklahoma, United States | 16.9 | |
| 84 | Saiki Oita, Japan | 16.8 | |
| 84 | Algiers Algiers, Algeria | 16.8 | |
| 84 | Corpus Christi Texas, United States | 16.8 | |
| 84 | Denton Texas, United States | 16.8 | |
| 84 | Taylor Texas, United States | 16.8 | |
| 89 | Kochi Kochi, Japan | 16.7 | |
| 89 | Lafayette Louisiana, United States | 16.7 | |
| 89 | Orem Utah, United States | 16.7 | |
| 89 | Rangiora Canterbury, New Zealand | 16.7 | |
| 89 | Hyūga Miyazaki, Japan | 16.7 | |
| 94 | N'Djamena N’Djaména, Chad | 16.6 | |
| 94 | Zwijndrecht Flanders, Belgium | 16.6 | |
| 94 | Krefeld North Rhine-Westphalia, Germany | 16.6 | |
| 97 | Kochani Kochani, North Macedonia | 16.5 | |
| 97 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 16.5 | |
| 97 | Belton Texas, United States | 16.5 | |
| 97 | Calgary Alberta, Canada | 16.5 | |
| 101 | Islamabad low-cost sensors Islamabad, Pakistan | 16.4 | |
| 101 | Baton Rouge Louisiana, United States | 16.4 | |
| 101 | Edinburg Texas, United States | 16.4 | |
| 101 | Live Oak Texas, United States | 16.4 | |
| 101 | Cranbrook British Columbia, Canada | 16.4 | |
| 106 | Falconara Marittima The Marches, Italy | 16.3 | |
| 107 | Oklahoma City Oklahoma, United States | 16.1 | |
| 107 | Austin Texas, United States | 16.1 | |
| 107 | San Marcos Texas, United States | 16.1 | |
| 107 | Medford Oregon, United States | 16.1 | |
| 111 | Redding California, United States | 16.0 | |
| 112 | Wan Chai Wan Chai, Hong Kong | 15.9 | |
| 112 | Takanabe Miyazaki, Japan | 15.9 | |
| 112 | Kofu Yamanashi, Japan | 15.9 | |
| 112 | Georgetown Texas, United States | 15.9 | |
| 116 | Menen Flanders, Belgium | 15.8 | |
| 116 | Mechelen Flanders, Belgium | 15.8 | |
| 116 | Edmond Oklahoma, United States | 15.8 | |
| 116 | Missouri City Texas, United States | 15.8 | |
| 116 | Ayase Kanagawa, Japan | 15.8 | |
| 121 | Kashiwara Nara, Japan | 15.6 | |
| 121 | Gent Flanders, Belgium | 15.6 | |
| 121 | Dallas Texas, United States | 15.6 | |
| 121 | Pasadena Texas, United States | 15.6 | |
| 121 | Eagle Pass Texas, United States | 15.6 | |
| 121 | Billings Montana, United States | 15.6 | |
| 121 | Airdrie Alberta, Canada | 15.6 | |
| 128 | Asprópyrgos Attica, Greece | 15.5 | |
| 128 | Salor Tashkent Region, Uzbekistan | 15.5 | |
| 128 | Ono Hyōgo, Japan | 15.5 | |
| 128 | Limoges New Aquitaine, France | 15.5 | |
| 128 | Yauri Cuzco Department, Peru | 15.5 | |
| 128 | Grants Pass Oregon, United States | 15.5 | |
| 134 | Jackson Mississippi, United States | 15.4 | |
| 134 | Rouyn-Noranda Quebec, Canada | 15.4 | |
| 134 | Mima Tokushima, Japan | 15.4 | |
| 137 | Accra low-cost sensors Greater Accra, Ghana | 15.3 | |
| 137 | Żabbar Ħaż-Żabbar, Malta | 15.3 | |
| 137 | Roeselare Flanders, Belgium | 15.3 | |
| 137 | Koksijde Flanders, Belgium | 15.3 | |
| 137 | Brownsville Texas, United States | 15.3 | |
| 137 | Laredo Texas, United States | 15.3 | |
| 137 | Salt Lake City Utah, United States | 15.3 | |
| 144 | Roubaix Hauts-de-France, France | 15.2 | |
| 144 | College Station Texas, United States | 15.2 | |
| 144 | Idaho Falls Idaho, United States | 15.2 | |
| 144 | West Valley City Utah, United States | 15.2 | |
| 144 | Regina Saskatchewan, Canada | 15.2 | |
| 149 | Athens Attica, Greece | 15.1 | |
| 149 | Gostivar Gostivar, North Macedonia | 15.1 | |
| 149 | Tilburg North Brabant, The Netherlands | 15.1 | |
| 149 | Bozeman Montana, United States | 15.1 | |
| 149 | Butte Montana, United States | 15.1 | |
| 154 | Porterville California, United States | 15.0 | |
| 155 | Anan Tokushima, Japan | 14.9 | |
| 155 | San Clemente Ica, Peru | 14.9 | |
| 155 | Gainesville Georgia, United States | 14.9 | |
| 155 | Helena Montana, United States | 14.9 | |
| 155 | Dorval Quebec, Canada | 14.9 | |
| 160 | Valletta Valletta, Malta | 14.8 | |
| 160 | Mission Bend Texas, United States | 14.8 | |
| 160 | Moscow Idaho, United States | 14.8 | |
| 163 | Sōja Okayama, Japan | 14.7 | |
| 163 | Iwade Wakayama, Japan | 14.7 | |
| 163 | Antwerp Flanders, Belgium | 14.7 | |
| 166 | Izegem Flanders, Belgium | 14.6 | |
| 166 | Beveren Flanders, Belgium | 14.6 | |
| 166 | Newmarket Ontario, Canada | 14.6 | |
| 169 | Kasaoka Okayama, Japan | 14.5 | |
| 169 | Fontana California, United States | 14.5 | |
| 169 | West Jordan Utah, United States | 14.5 | |
| 169 | Bizen Okayama, Japan | 14.5 | |
| 173 | Guangzhou Guangdong, China | 14.4 | |
| 173 | Nara-shi Nara, Japan | 14.4 | |
| 173 | Ikaruga Hyōgo, Japan | 14.4 | |
| 173 | Christchurch Canterbury, New Zealand | 14.4 | |
| 173 | Stabroek Flanders, Belgium | 14.4 | |
| 173 | Kortrijk Flanders, Belgium | 14.4 | |
| 173 | Rexburg Idaho, United States | 14.4 | |
| 173 | Ottawa Ontario, Canada | 14.4 | |
| 181 | Périgueux New Aquitaine, France | 14.3 | |
| 181 | Bakersfield California, United States | 14.3 | |
| 181 | Jurupa Valley California, United States | 14.3 | |
| 181 | Greater Sudbury Ontario, Canada | 14.3 | |
| 181 | Sorel-Tracy Quebec, Canada | 14.3 | |
| 186 | Jurong West Singapore | 14.2 | |
| 186 | Willebroek Flanders, Belgium | 14.2 | |
| 186 | Mol Flanders, Belgium | 14.2 | |
| 186 | Dyersburg Tennessee, United States | 14.2 | |
| 186 | Rapid City South Dakota, United States | 14.2 | |
| 186 | Sault Ste. Marie Ontario, Canada | 14.2 | |
| 186 | Fujiyoshida Yamanashi, Japan | 14.2 | |
| 193 | Ikedachō Tokushima, Japan | 14.1 | |
| 193 | Brussels Brussels Capital, Belgium | 14.1 | |
| 193 | Düsseldorf North Rhine-Westphalia, Germany | 14.1 | |
| 193 | Dunkirk Hauts-de-France, France | 14.1 | |
| 193 | El Paso Texas, United States | 14.1 | |
| 193 | Sheridan Wyoming, United States | 14.1 | |
| 193 | Montréal Quebec, Canada | 14.1 | |
| 193 | Tatsuno Hyōgo, Japan | 14.1 |
Top 200 of 1,996 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