SmogRank / History / week of July 20, 2026
Most polluted cities, week of July 20, 2026
2,252 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 | 96.0 | |
| 2 | Kampala low-cost sensors Central Region, Uganda | 92.6 | |
| 3 | Lilongwe low-cost sensors Central Region, Malawi | 65.8 | |
| 4 | Dushanbe Dushanbe, Tajikistan | 64.8 | |
| 5 | Rājgīr Bihar, India | 64.3 | |
| 6 | Vereeniging low-cost sensors Gauteng, South Africa | 61.6 | |
| 7 | Dera Māndi Delhi, India | 56.8 | |
| 8 | Karnāl Haryana, India | 56.3 | |
| 9 | Dhaulpur Rajasthan, India | 53.1 | |
| 10 | Nampa Idaho, United States | 50.2 | |
| 11 | Faisalabad low-cost sensors Punjab, Pakistan | 49.5 | |
| 12 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 49.2 | |
| 13 | Bahadurgarh Haryana, India | 48.9 | |
| 14 | Gummidipundi Tamil Nadu, India | 48.7 | |
| 15 | Sonīpat Haryana, India | 47.2 | |
| 16 | Red Deer Alberta, Canada | 47.1 | |
| 17 | Antananarivo Analamanga, Madagascar | 47.0 | |
| 18 | Quetta low-cost sensors Balochistan, Pakistan | 46.8 | |
| 19 | Karonga low-cost sensors Northern Region, Malawi | 45.9 | |
| 20 | Kamloops British Columbia, Canada | 44.3 | |
| 21 | Bānswāra Rajasthan, India | 44.2 | |
| 22 | Multan low-cost sensors Punjab, Pakistan | 44.0 | |
| 23 | Faridabad Haryana, India | 43.5 | |
| 24 | Dhāruhera Haryana, India | 43.4 | |
| 25 | Lahore low-cost sensors Punjab, Pakistan | 43.1 | |
| 25 | Calgary Alberta, Canada | 43.1 | |
| 27 | Gurugram Haryana, India | 42.8 | |
| 27 | Palembang low-cost sensors South Sumatra, Indonesia | 42.8 | |
| 29 | Ashaiman low-cost sensors Greater Accra, Ghana | 42.6 | |
| 30 | Blantyre low-cost sensors Southern Region, Malawi | 42.2 | |
| 31 | Nalbāri Assam, India | 40.6 | |
| 32 | Pendleton Oregon, United States | 40.3 | |
| 33 | Chittoor Andhra Pradesh, India | 39.9 | |
| 34 | Airdrie Alberta, Canada | 39.5 | |
| 35 | Edmonton Alberta, Canada | 38.9 | |
| 36 | Chāpra Bihar, India | 38.7 | |
| 36 | Boise Idaho, United States | 38.7 | |
| 38 | Fort McMurray Alberta, Canada | 37.9 | |
| 39 | Yamuna Nagar Haryana, India | 37.7 | |
| 40 | Dubai low-cost sensors Dubai, United Arab Emirates | 37.6 | |
| 40 | Byasanagar Odisha, India | 37.6 | |
| 42 | Anantapur Andhra Pradesh, India | 37.5 | |
| 43 | Zomba low-cost sensors Southern Region, Malawi | 36.7 | |
| 44 | Grande Prairie Alberta, Canada | 36.6 | |
| 45 | Sherwood Park Alberta, Canada | 36.5 | |
| 46 | Redmond Oregon, United States | 36.4 | |
| 47 | Nagaon Assam, India | 35.5 | |
| 48 | Gujranwala low-cost sensors Punjab, Pakistan | 35.2 | |
| 48 | Walla Walla Washington, United States | 35.2 | |
| 50 | Bordeaux New Aquitaine, France | 34.5 | |
| 51 | Vijayawada Andhra Pradesh, India | 34.4 | |
| 52 | Jharia Jharkhand, India | 34.2 | |
| 53 | Mzuzu low-cost sensors Northern Region, Malawi | 33.9 | |
| 53 | Bahawalpur low-cost sensors Punjab, Pakistan | 33.9 | |
| 55 | Bhiwadi Rajasthan, India | 33.4 | |
| 56 | Rourkela Odisha, India | 33.2 | |
| 57 | Noida Uttar Pradesh, India | 32.8 | |
| 58 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 32.6 | |
| 58 | Tirupati Andhra Pradesh, India | 32.6 | |
| 60 | St. Albert Alberta, Canada | 32.4 | |
| 61 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 32.1 | |
| 61 | Kadapa Andhra Pradesh, India | 32.1 | |
| 63 | Swift Current Saskatchewan, Canada | 31.9 | |
| 64 | Bhiwāni Haryana, India | 31.8 | |
| 65 | Lagos low-cost sensors Lagos, Nigeria | 31.6 | |
| 66 | Jīnd Haryana, India | 31.2 | |
| 67 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 30.5 | |
| 68 | Tuxtla Chiapas, Mexico | 30.1 | |
| 69 | Muzaffarnagar Uttar Pradesh, India | 30.0 | |
| 69 | Fort St. John British Columbia, Canada | 30.0 | |
| 69 | Wadgaon Kolhati Maharashtra, India | 30.0 | |
| 72 | Vernon British Columbia, Canada | 29.5 | |
| 73 | Kelowna British Columbia, Canada | 28.9 | |
| 74 | Moses Lake Washington, United States | 28.7 | |
| 75 | Karachi low-cost sensors Sindh, Pakistan | 28.4 | |
| 75 | Delhi Delhi, India | 28.4 | |
| 77 | Yellowknife low-cost sensors Northwest Territories, Canada | 28.3 | |
| 78 | Medicine Hat Alberta, Canada | 28.2 | |
| 79 | San Luis Potosí San Luis Potosí, Mexico | 28.1 | |
| 80 | Limoges New Aquitaine, France | 28.0 | |
| 81 | Thānesar Haryana, India | 27.8 | |
| 82 | Rasapūdipalem Andhra Pradesh, India | 27.6 | |
| 83 | Ghāziābād Uttar Pradesh, India | 27.3 | |
| 84 | Changchun low-cost sensors Jilin, China | 27.1 | |
| 84 | Lewiston Idaho, United States | 27.1 | |
| 86 | Singrauli Madhya Pradesh, India | 26.9 | |
| 87 | Najafgarh Delhi, India | 26.8 | |
| 88 | Kaithal Haryana, India | 26.4 | |
| 89 | Ambāla Haryana, India | 26.3 | |
| 89 | Lormont New Aquitaine, France | 26.3 | |
| 91 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 26.1 | |
| 91 | Arāria Bihar, India | 26.1 | |
| 93 | Nobeoka Miyazaki, Japan | 26.0 | |
| 94 | Istanbul low-cost sensors Istanbul, Turkey | 25.9 | |
| 94 | Hyderabad low-cost sensors Sindh, Pakistan | 25.9 | |
| 94 | Bend Oregon, United States | 25.9 | |
| 94 | Prince Albert Saskatchewan, Canada | 25.9 | |
| 98 | Ciudad General Escobedo Nuevo León, Mexico | 25.4 | |
| 98 | Joda Odisha, India | 25.4 | |
| 100 | Sialkot low-cost sensors Punjab, Pakistan | 25.3 | |
| 101 | Lethbridge Alberta, Canada | 25.1 | |
| 101 | Hyūga Miyazaki, Japan | 25.1 | |
| 103 | Jammu low-cost sensors Jammu and Kashmir, India | 25.0 | |
| 104 | Agartala Tripura, India | 24.9 | |
| 104 | Kobayashi Miyazaki, Japan | 24.9 | |
| 106 | Narela Delhi, India | 24.8 | |
| 107 | Kanpur Uttar Pradesh, India | 24.7 | |
| 107 | Aioi Hyōgo, Japan | 24.7 | |
| 109 | Aya Nagar Delhi, India | 24.6 | |
| 110 | Tonk Rajasthan, India | 24.3 | |
| 110 | Quezon City low-cost sensors National Capital Region, Philippines | 24.3 | |
| 112 | Takanabe Miyazaki, Japan | 24.2 | |
| 112 | Susaki Kochi, Japan | 24.2 | |
| 112 | Kariya Hyōgo, Japan | 24.2 | |
| 115 | Kalyān Maharashtra, India | 24.1 | |
| 115 | Winnipeg low-cost sensors Manitoba, Canada | 24.1 | |
| 117 | Shido Kagawa, Japan | 24.0 | |
| 117 | Baddi Himachal Pradesh, India | 24.0 | |
| 119 | Chennai Tamil Nadu, India | 23.9 | |
| 120 | Patna Bihar, India | 23.8 | |
| 120 | Lucknow Uttar Pradesh, India | 23.8 | |
| 120 | Kamojimachō-jōgejima Tokushima, Japan | 23.8 | |
| 120 | Ikedachō Tokushima, Japan | 23.8 | |
| 120 | Périgueux New Aquitaine, France | 23.8 | |
| 120 | Pullman Washington, United States | 23.8 | |
| 126 | Valletta Valletta, Malta | 23.7 | |
| 126 | Spokane Washington, United States | 23.7 | |
| 126 | Tatsuno Hyōgo, Japan | 23.7 | |
| 129 | Mie Oita, Japan | 23.6 | |
| 129 | Parque Industrial Ciudad Mitras Nuevo León, Mexico | 23.6 | |
| 131 | Jounieh low-cost sensors Mount Lebanon, Lebanon | 23.5 | |
| 131 | Gwalior Madhya Pradesh, India | 23.5 | |
| 131 | Dādri Uttar Pradesh, India | 23.5 | |
| 131 | Ikaruga Hyōgo, Japan | 23.5 | |
| 131 | Bizen Okayama, Japan | 23.5 | |
| 131 | Mima Tokushima, Japan | 23.5 | |
| 137 | Cranbrook British Columbia, Canada | 23.4 | |
| 138 | Iloilo low-cost sensors Western Visayas, Philippines | 23.1 | |
| 138 | Quthbullapur Telangana, India | 23.1 | |
| 140 | Iwade Wakayama, Japan | 23.0 | |
| 140 | Santa Catarina Nuevo León, Mexico | 23.0 | |
| 140 | Twin Falls Idaho, United States | 23.0 | |
| 143 | Shingū Wakayama, Japan | 22.7 | |
| 143 | Higashinozoe Hyōgo, Japan | 22.7 | |
| 143 | Calexico California, United States | 22.7 | |
| 146 | Aki Kochi, Japan | 22.6 | |
| 146 | Mérida Yucatán, Mexico | 22.6 | |
| 148 | Ono Hyōgo, Japan | 22.4 | |
| 148 | Kochi Kochi, Japan | 22.4 | |
| 148 | Fukuroi Shizuoka, Japan | 22.4 | |
| 148 | Yoshinogawa Tokushima, Japan | 22.4 | |
| 152 | Kainan Wakayama, Japan | 22.3 | |
| 153 | Kakogawachō-honmachi Hyōgo, Japan | 22.2 | |
| 153 | Anan Tokushima, Japan | 22.2 | |
| 155 | Sumoto Hyōgo, Japan | 22.1 | |
| 156 | Rangiora Canterbury, New Zealand | 21.8 | |
| 157 | Minato Wakayama, Japan | 21.7 | |
| 158 | Angul Odisha, India | 21.6 | |
| 158 | Nishiwaki Hyōgo, Japan | 21.6 | |
| 160 | Baku Baki, Azerbaijan | 21.5 | |
| 160 | Jhunjhunūn Rajasthan, India | 21.5 | |
| 162 | Prince George British Columbia, Canada | 21.4 | |
| 163 | Beirut low-cost sensors Beirut, Lebanon | 21.3 | |
| 163 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 21.3 | |
| 163 | Tokushima Tokushima, Japan | 21.3 | |
| 163 | Tamano Okayama, Japan | 21.3 | |
| 167 | Bareilly Uttar Pradesh, India | 21.2 | |
| 167 | Shintomi Miyazaki, Japan | 21.2 | |
| 169 | Narutochō-mitsuishi Tokushima, Japan | 21.1 | |
| 170 | Boisar Maharashtra, India | 21.0 | |
| 170 | Perrysburg Ohio, United States | 21.0 | |
| 170 | Minami-Alps Yamanashi, Japan | 21.0 | |
| 173 | Beppu Oita, Japan | 20.9 | |
| 173 | Hiragi Kagawa, Japan | 20.9 | |
| 175 | Dūngarpur Rajasthan, India | 20.8 | |
| 175 | Great Falls Montana, United States | 20.8 | |
| 177 | Saskatoon Saskatchewan, Canada | 20.7 | |
| 178 | Ahmedabad Gujarat, India | 20.6 | |
| 178 | Agra Uttar Pradesh, India | 20.6 | |
| 178 | Akashi Hyōgo, Japan | 20.6 | |
| 178 | Zentsujichó Kagawa, Japan | 20.6 | |
| 178 | Okayama Okayama, Japan | 20.6 | |
| 178 | Himeji Hyōgo, Japan | 20.6 | |
| 178 | Moscow Idaho, United States | 20.6 | |
| 178 | Bismarck North Dakota, United States | 20.6 | |
| 178 | Spokane Valley Washington, United States | 20.6 | |
| 187 | Dausa Rajasthan, India | 20.5 | |
| 187 | Hashimoto Wakayama, Japan | 20.5 | |
| 187 | Monroe low-cost sensors Washington, United States | 20.5 | |
| 190 | Montluçon Auvergne-Rhône-Alpes, France | 20.4 | |
| 191 | Hājīpur Bihar, India | 20.3 | |
| 191 | Ankleshwar Gujarat, India | 20.3 | |
| 191 | Gotemba Shizuoka, Japan | 20.3 | |
| 191 | Monterrey Nuevo León, Mexico | 20.3 | |
| 191 | Laredo Texas, United States | 20.3 | |
| 196 | Ōita Oita, Japan | 20.2 | |
| 196 | Miyazaki Miyazaki, Japan | 20.2 | |
| 196 | Ciudad Nezahualcoyotl México, Mexico | 20.2 | |
| 196 | Shreveport Louisiana, United States | 20.2 | |
| 196 | Tri-Cities Washington, United States | 20.2 |
Top 200 of 2,252 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