SmogRank / History / July 27, 2026
Most polluted cities on July 27, 2026
2,271 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Ropar Punjab, India | 136.0 | |
| 2 | Twin Falls Idaho, United States | 121.0 | |
| 3 | Nampa Idaho, United States | 119.0 | |
| 4 | Faisalabad low-cost sensors Punjab, Pakistan | 109.5 | |
| 5 | Boise Idaho, United States | 93.3 | |
| 6 | Lahore low-cost sensors Punjab, Pakistan | 83.4 | |
| 7 | Vereeniging low-cost sensors Gauteng, South Africa | 77.3 | |
| 8 | Dera Māndi Delhi, India | 74.2 | |
| 9 | Idaho Falls Idaho, United States | 71.1 | |
| 10 | Kampala low-cost sensors Central Region, Uganda | 68.6 | |
| 11 | Rājgīr Bihar, India | 66.4 | |
| 12 | Muzaffarnagar Uttar Pradesh, India | 60.9 | |
| 12 | Gurugram Haryana, India | 60.9 | |
| 14 | Pocatello Idaho, United States | 59.2 | |
| 15 | Multan low-cost sensors Punjab, Pakistan | 58.1 | |
| 16 | Yamuna Nagar Haryana, India | 55.6 | |
| 17 | Quetta low-cost sensors Balochistan, Pakistan | 54.8 | |
| 18 | Karnāl Haryana, India | 54.1 | |
| 19 | Bahadurgarh Haryana, India | 52.8 | |
| 20 | Bānswāra Rajasthan, India | 52.3 | |
| 21 | Gujranwala low-cost sensors Punjab, Pakistan | 51.7 | |
| 22 | Sonīpat Haryana, India | 49.1 | |
| 23 | Byasanagar Odisha, India | 48.8 | |
| 24 | Great Falls Montana, United States | 48.4 | |
| 25 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 48.3 | |
| 26 | Bhāgalpur Bihar, India | 47.7 | |
| 27 | Dhāruhera Haryana, India | 47.5 | |
| 28 | Sialkot low-cost sensors Punjab, Pakistan | 46.4 | |
| 28 | Siwān Bihar, India | 46.4 | |
| 30 | Gummidipundi Tamil Nadu, India | 45.7 | |
| 31 | Ghāziābād Uttar Pradesh, India | 45.2 | |
| 32 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 44.6 | |
| 33 | Palembang low-cost sensors South Sumatra, Indonesia | 44.2 | |
| 34 | Bahawalpur low-cost sensors Punjab, Pakistan | 44.1 | |
| 35 | Dushanbe Dushanbe, Tajikistan | 43.3 | |
| 36 | Jammu low-cost sensors Jammu and Kashmir, India | 42.1 | |
| 37 | Changchun low-cost sensors Jilin, China | 41.8 | |
| 38 | Butte Montana, United States | 41.5 | |
| 39 | Arrah Bihar, India | 41.3 | |
| 40 | Thānesar Haryana, India | 41.2 | |
| 40 | Helena Montana, United States | 41.2 | |
| 42 | Ambāla Haryana, India | 41.1 | |
| 43 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 41.0 | |
| 44 | Faridabad Haryana, India | 40.7 | |
| 45 | Rourkela Odisha, India | 40.2 | |
| 46 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 40.1 | |
| 47 | Lewiston Idaho, United States | 38.7 | |
| 48 | Bhiwadi Rajasthan, India | 38.6 | |
| 49 | Anantapur Andhra Pradesh, India | 37.8 | |
| 50 | Ashaiman low-cost sensors Greater Accra, Ghana | 37.5 | |
| 51 | Jharia Jharkhand, India | 36.5 | |
| 51 | Pendleton Oregon, United States | 36.5 | |
| 53 | Lagos low-cost sensors Lagos, Nigeria | 36.4 | |
| 54 | Dādri Uttar Pradesh, India | 36.3 | |
| 55 | Nagaon Assam, India | 35.6 | |
| 56 | Dubai low-cost sensors Dubai, United Arab Emirates | 34.3 | |
| 57 | Bhubaneswar Odisha, India | 34.1 | |
| 57 | Missoula Montana, United States | 34.1 | |
| 59 | Rangiora Canterbury, New Zealand | 34.0 | |
| 60 | Vijayawada Andhra Pradesh, India | 33.8 | |
| 61 | Ann Arbor low-cost sensors Michigan, United States | 33.5 | |
| 61 | Royal Oak low-cost sensors Michigan, United States | 33.5 | |
| 63 | Antananarivo Analamanga, Madagascar | 33.2 | |
| 63 | Medicine Hat Alberta, Canada | 33.2 | |
| 65 | Bismarck North Dakota, United States | 32.5 | |
| 66 | Nilópolis Rio de Janeiro, Brazil | 32.3 | |
| 67 | Pullman Washington, United States | 32.1 | |
| 68 | Joda Odisha, India | 32.0 | |
| 69 | Buxar Bihar, India | 31.8 | |
| 70 | Hājīpur Bihar, India | 31.1 | |
| 71 | Kaithal Haryana, India | 30.6 | |
| 72 | Bāghpat Uttar Pradesh, India | 30.3 | |
| 73 | Christchurch Canterbury, New Zealand | 30.1 | |
| 74 | Tirupati Andhra Pradesh, India | 29.8 | |
| 74 | Delhi Delhi, India | 29.8 | |
| 74 | Noida Uttar Pradesh, India | 29.8 | |
| 74 | Wadgaon Kolhati Maharashtra, India | 29.8 | |
| 78 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 29.4 | |
| 78 | Narela Delhi, India | 29.4 | |
| 80 | Nepean low-cost sensors Ontario, Canada | 29.0 | |
| 81 | Najafgarh Delhi, India | 28.7 | |
| 82 | Baddi Himachal Pradesh, India | 28.5 | |
| 83 | Jhālāwār Rajasthan, India | 28.4 | |
| 83 | Hanumāngarh Rajasthan, India | 28.4 | |
| 83 | Arāria Bihar, India | 28.4 | |
| 86 | Rodez Occitanie, France | 28.3 | |
| 86 | Perrysburg Ohio, United States | 28.3 | |
| 88 | Srinagar Jammu and Kashmir, India | 28.2 | |
| 88 | Rasapūdipalem Andhra Pradesh, India | 28.2 | |
| 88 | Wake Forest low-cost sensors North Carolina, United States | 28.2 | |
| 91 | Billings Montana, United States | 28.1 | |
| 92 | Panchkula Haryana, India | 28.0 | |
| 93 | Ahmedabad Gujarat, India | 27.8 | |
| 94 | Murree low-cost sensors Punjab, Pakistan | 27.7 | |
| 95 | Nalbāri Assam, India | 27.5 | |
| 95 | West Fargo North Dakota, United States | 27.5 | |
| 97 | Islamabad low-cost sensors Islamabad, Pakistan | 27.4 | |
| 97 | Nagpur Maharashtra, India | 27.4 | |
| 99 | Malegaon Maharashtra, India | 27.2 | |
| 100 | Saharsa Bihar, India | 26.9 | |
| 101 | Moscow Idaho, United States | 26.8 | |
| 102 | Morādābād Uttar Pradesh, India | 26.4 | |
| 103 | Bhiwāni Haryana, India | 26.1 | |
| 103 | Ciudad Juárez Chihuahua, Mexico | 26.1 | |
| 105 | Rawalpindi low-cost sensors Punjab, Pakistan | 26.0 | |
| 106 | Lucknow Uttar Pradesh, India | 25.8 | |
| 107 | Istanbul low-cost sensors Istanbul, Turkey | 25.7 | |
| 108 | Hermiston Oregon, United States | 25.6 | |
| 109 | Aya Nagar Delhi, India | 25.5 | |
| 110 | Jabalpur Madhya Pradesh, India | 25.4 | |
| 111 | Walla Walla Washington, United States | 25.1 | |
| 111 | Swift Current Saskatchewan, Canada | 25.1 | |
| 111 | Singrauli Madhya Pradesh, India | 25.1 | |
| 114 | Karachi low-cost sensors Sindh, Pakistan | 24.9 | |
| 114 | Socorro Texas, United States | 24.9 | |
| 116 | Burunday low-cost sensors Almaty Region, Kazakhstan | 24.7 | |
| 117 | Hyderabad low-cost sensors Sindh, Pakistan | 24.6 | |
| 118 | Susaki Kochi, Japan | 24.4 | |
| 119 | Tema low-cost sensors Greater Accra, Ghana | 24.3 | |
| 119 | San Luis Potosí San Luis Potosí, Mexico | 24.3 | |
| 121 | Gwalior Madhya Pradesh, India | 24.2 | |
| 121 | Edmonton Alberta, Canada | 24.2 | |
| 123 | Coeur d'Alene Idaho, United States | 24.1 | |
| 124 | Kobayashi Miyazaki, Japan | 24.0 | |
| 125 | Sri Ganganagar Rajasthan, India | 23.9 | |
| 126 | Dausa Rajasthan, India | 23.8 | |
| 126 | Regina Saskatchewan, Canada | 23.8 | |
| 128 | Thāne Maharashtra, India | 23.7 | |
| 128 | Ajmer Rajasthan, India | 23.7 | |
| 128 | Timaru Canterbury, New Zealand | 23.7 | |
| 131 | Undera Gujarat, India | 23.6 | |
| 132 | Barbil Odisha, India | 23.5 | |
| 133 | Ankleshwar Gujarat, India | 23.3 | |
| 133 | Takanabe Miyazaki, Japan | 23.3 | |
| 135 | Chittorgarh Rajasthan, India | 23.2 | |
| 135 | Ajaccio Corsica, France | 23.2 | |
| 135 | Naharlagun Arunachal Pradesh, India | 23.2 | |
| 138 | Jaipur Rajasthan, India | 23.1 | |
| 139 | Oregon Ohio, United States | 23.0 | |
| 140 | Aki Kochi, Japan | 22.9 | |
| 141 | Cuttack Odisha, India | 22.8 | |
| 141 | Iloilo low-cost sensors Western Visayas, Philippines | 22.8 | |
| 143 | Gatineau low-cost sensors Quebec, Canada | 22.7 | |
| 144 | Lilongwe low-cost sensors Central Region, Malawi | 22.6 | |
| 144 | Duque de Caxias Rio de Janeiro, Brazil | 22.6 | |
| 146 | Gandhinagar Gujarat, India | 22.5 | |
| 146 | Dūngarpur Rajasthan, India | 22.5 | |
| 148 | Indore Madhya Pradesh, India | 22.2 | |
| 149 | Miyakonojō Miyazaki, Japan | 22.1 | |
| 150 | Naucalpan de Juárez México, Mexico | 21.9 | |
| 150 | Airdrie Alberta, Canada | 21.9 | |
| 152 | Bastia Corsica, France | 21.8 | |
| 152 | Shintomi Miyazaki, Japan | 21.8 | |
| 154 | Tonk Rajasthan, India | 21.7 | |
| 154 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 21.7 | |
| 154 | Windsor Ontario, Canada | 21.7 | |
| 157 | Mangaluru Karnataka, India | 21.6 | |
| 157 | Bareilly Uttar Pradesh, India | 21.6 | |
| 159 | Karonga low-cost sensors Northern Region, Malawi | 21.5 | |
| 159 | Karwar Karnataka, India | 21.5 | |
| 159 | Jalandhar Punjab, India | 21.5 | |
| 159 | Ciudad Nezahualcoyotl México, Mexico | 21.5 | |
| 159 | Calexico California, United States | 21.5 | |
| 164 | Kochi Kochi, Japan | 21.3 | |
| 165 | Kanpur Uttar Pradesh, India | 21.2 | |
| 165 | Quezon City low-cost sensors National Capital Region, Philippines | 21.2 | |
| 165 | Itaguaí Rio de Janeiro, Brazil | 21.2 | |
| 168 | Baku Baki, Azerbaijan | 21.1 | |
| 168 | Nichinan Miyazaki, Japan | 21.1 | |
| 168 | El Paso Texas, United States | 21.1 | |
| 168 | Sherwood Park Alberta, Canada | 21.1 | |
| 172 | Kota Rajasthan, India | 20.8 | |
| 172 | Miyazaki Miyazaki, Japan | 20.8 | |
| 174 | Bārmer Rajasthan, India | 20.7 | |
| 174 | Angul Odisha, India | 20.7 | |
| 174 | Mankato Minnesota, United States | 20.7 | |
| 177 | Detroit Michigan, United States | 20.6 | |
| 178 | Jalor Rajasthan, India | 20.5 | |
| 178 | Atlixco Puebla, Mexico | 20.5 | |
| 180 | Bhopal Madhya Pradesh, India | 20.4 | |
| 181 | Chennai Tamil Nadu, India | 20.3 | |
| 181 | Périgueux New Aquitaine, France | 20.3 | |
| 183 | Bra Piedmont, Italy | 20.2 | |
| 184 | St. Albert Alberta, Canada | 20.1 | |
| 184 | Neelankarai Tamil Nadu, India | 20.1 | |
| 186 | Būndi Rajasthan, India | 20.0 | |
| 186 | Aurillac Auvergne-Rhône-Alpes, France | 20.0 | |
| 186 | Kharghar Maharashtra, India | 20.0 | |
| 189 | Gaya Bihar, India | 19.9 | |
| 189 | Bhilwara Rajasthan, India | 19.9 | |
| 189 | North Ogden Utah, United States | 19.9 | |
| 189 | Nankoku Kochi, Japan | 19.9 | |
| 193 | Blantyre low-cost sensors Southern Region, Malawi | 19.7 | |
| 193 | Santa Catarina Nuevo León, Mexico | 19.7 | |
| 193 | Calgary Alberta, Canada | 19.7 | |
| 196 | Pratāpgarh Rajasthan, India | 19.6 | |
| 196 | Patna Bihar, India | 19.6 | |
| 196 | Ino Kochi, Japan | 19.6 | |
| 196 | Mexico City Mexico City, Mexico | 19.6 | |
| 196 | Southfield Michigan, United States | 19.6 |
Top 200 of 2,271 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