SmogRank / History / September 28, 2025
Most polluted cities on September 28, 2025
2,306 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Calexico California, United States | 253.5 | |
| 2 | Grants Pass Oregon, United States | 154.0 | |
| 3 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 147.0 | |
| 4 | Gujranwala low-cost sensors Punjab, Pakistan | 118.0 | |
| 4 | Cuddalore Tamil Nadu, India | 118.0 | |
| 6 | Wenatchee Washington, United States | 95.2 | |
| 7 | Lahore low-cost sensors Punjab, Pakistan | 94.6 | |
| 8 | Multan low-cost sensors Punjab, Pakistan | 91.3 | |
| 9 | Faisalabad low-cost sensors Punjab, Pakistan | 90.7 | |
| 10 | Blantyre low-cost sensors Southern Region, Malawi | 89.6 | |
| 11 | Sialkot low-cost sensors Punjab, Pakistan | 84.9 | |
| 12 | Karauli Rajasthan, India | 77.3 | |
| 13 | Narela Delhi, India | 66.5 | |
| 14 | Rājgīr Bihar, India | 60.9 | |
| 15 | Gummidipundi Tamil Nadu, India | 59.7 | |
| 16 | Muzaffarnagar Uttar Pradesh, India | 58.9 | |
| 17 | Bhāgalpur Bihar, India | 57.7 | |
| 18 | Bahawalpur low-cost sensors Punjab, Pakistan | 57.0 | |
| 19 | Medford Oregon, United States | 55.4 | |
| 20 | Ashland Oregon, United States | 55.1 | |
| 21 | Hanumāngarh Rajasthan, India | 51.6 | |
| 22 | Bhiwadi Rajasthan, India | 51.1 | |
| 23 | Cranbrook British Columbia, Canada | 51.0 | |
| 24 | Chāpra Bihar, India | 49.9 | |
| 25 | Dushanbe Dushanbe, Tajikistan | 49.6 | |
| 26 | Wadgaon Kolhati Maharashtra, India | 49.3 | |
| 27 | Baddi Himachal Pradesh, India | 48.2 | |
| 28 | Madikeri Karnataka, India | 47.7 | |
| 29 | Bāghpat Uttar Pradesh, India | 46.3 | |
| 30 | Ghāziābād Uttar Pradesh, India | 45.0 | |
| 31 | Rawalpindi low-cost sensors Punjab, Pakistan | 44.1 | |
| 32 | Tirupati Andhra Pradesh, India | 41.1 | |
| 33 | Kharghar Maharashtra, India | 40.3 | |
| 34 | Tonk Rajasthan, India | 40.2 | |
| 35 | Dubai low-cost sensors Dubai, United Arab Emirates | 39.9 | |
| 36 | Meerut Uttar Pradesh, India | 39.2 | |
| 37 | Vereeniging low-cost sensors Gauteng, South Africa | 39.0 | |
| 38 | Quetta low-cost sensors Balochistan, Pakistan | 38.2 | |
| 39 | Buxar Bihar, India | 38.0 | |
| 40 | Coeur d'Alene Idaho, United States | 37.0 | |
| 41 | Kadapa Andhra Pradesh, India | 36.7 | |
| 42 | Jaipur Rajasthan, India | 36.6 | |
| 43 | Boisar Maharashtra, India | 36.3 | |
| 44 | Bikaner Rajasthan, India | 35.4 | |
| 45 | Jalandhar Punjab, India | 35.1 | |
| 46 | Chandigarh Chandigarh, India | 35.0 | |
| 46 | Iloilo low-cost sensors Western Visayas, Philippines | 35.0 | |
| 48 | Aya Nagar Delhi, India | 34.9 | |
| 49 | Royal Oak low-cost sensors Michigan, United States | 34.8 | |
| 50 | Karachi low-cost sensors Sindh, Pakistan | 34.6 | |
| 51 | Delhi Delhi, India | 34.5 | |
| 52 | Dādri Uttar Pradesh, India | 33.7 | |
| 53 | Bhilwara Rajasthan, India | 33.6 | |
| 54 | Anantapur Andhra Pradesh, India | 33.5 | |
| 55 | Ankleshwar Gujarat, India | 33.4 | |
| 56 | Nagaon Assam, India | 33.2 | |
| 56 | Nandri Rajasthan, India | 33.2 | |
| 58 | Lucknow Uttar Pradesh, India | 33.1 | |
| 59 | Arāria Bihar, India | 32.8 | |
| 60 | Spokane Valley Washington, United States | 32.7 | |
| 61 | Tuxtla Chiapas, Mexico | 32.6 | |
| 62 | Najafgarh Delhi, India | 32.5 | |
| 63 | Spokane Washington, United States | 32.3 | |
| 64 | Ajmer Rajasthan, India | 31.8 | |
| 64 | Haarlem low-cost sensors North Holland, The Netherlands | 31.8 | |
| 66 | Ropar Punjab, India | 31.7 | |
| 67 | Morādābād Uttar Pradesh, India | 31.4 | |
| 68 | Srinagar Jammu and Kashmir, India | 31.3 | |
| 69 | Quthbullapur Telangana, India | 31.1 | |
| 70 | Noida Uttar Pradesh, India | 30.8 | |
| 71 | Bengaluru Karnataka, India | 29.9 | |
| 71 | Yuanlin Taiwan, Taiwan | 29.9 | |
| 73 | Greater Noida Uttar Pradesh, India | 29.7 | |
| 74 | Jhunjhunūn Rajasthan, India | 29.0 | |
| 75 | Changhua Taiwan, Taiwan | 28.9 | |
| 76 | Jaisalmer Rajasthan, India | 28.2 | |
| 76 | Sri Ganganagar Rajasthan, India | 28.2 | |
| 78 | Erlin Taiwan, Taiwan | 28.1 | |
| 79 | Patiāla Punjab, India | 27.8 | |
| 80 | Jalgaon Maharashtra, India | 27.5 | |
| 80 | Gijón Asturias, Spain | 27.5 | |
| 82 | Sīkar Rajasthan, India | 27.4 | |
| 83 | Nāgaur Rajasthan, India | 26.9 | |
| 84 | Chūru Rajasthan, India | 26.7 | |
| 85 | Gaya Bihar, India | 26.6 | |
| 85 | Fort McMurray Alberta, Canada | 26.6 | |
| 87 | Rānīganj West Bengal, India | 26.4 | |
| 88 | Buzi Taiwan, Taiwan | 26.3 | |
| 88 | Changchun low-cost sensors Jilin, China | 26.3 | |
| 90 | Addis Ababa Addis Ababa, Ethiopia | 26.2 | |
| 91 | Queenstown Estate low-cost sensors Singapore | 26.1 | |
| 91 | Serilingampalle Telangana, India | 26.1 | |
| 93 | Gwalior Madhya Pradesh, India | 26.0 | |
| 94 | Jodhpur Rajasthan, India | 25.9 | |
| 94 | Hājīpur Bihar, India | 25.9 | |
| 94 | Torrejón de Ardoz Madrid, Spain | 25.9 | |
| 97 | Erlun Taiwan, Taiwan | 25.8 | |
| 97 | Ukiah California, United States | 25.8 | |
| 99 | Ahmedabad Gujarat, India | 25.6 | |
| 100 | Chittorgarh Rajasthan, India | 25.5 | |
| 101 | Pratāpgarh Rajasthan, India | 25.2 | |
| 102 | Taichung Taiwan, Taiwan | 24.9 | |
| 102 | Yellowknife low-cost sensors Northwest Territories, Canada | 24.9 | |
| 104 | Jalor Rajasthan, India | 24.6 | |
| 105 | Nalbāri Assam, India | 24.4 | |
| 106 | Buzen Fukuoka, Japan | 24.3 | |
| 107 | Quezon City low-cost sensors National Capital Region, Philippines | 24.2 | |
| 108 | Siwān Bihar, India | 24.0 | |
| 108 | Bārmer Rajasthan, India | 24.0 | |
| 110 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 23.9 | |
| 110 | Silchar Assam, India | 23.9 | |
| 110 | Rourkela Odisha, India | 23.9 | |
| 110 | Dausa Rajasthan, India | 23.9 | |
| 114 | Ostrava Moravian-Silesian Region, Czechia | 23.7 | |
| 115 | Kathmandu low-cost sensors Bagmati Province, Nepal | 23.4 | |
| 116 | Dūngarpur Rajasthan, India | 23.3 | |
| 116 | Agra Uttar Pradesh, India | 23.3 | |
| 116 | Nantou Taiwan, Taiwan | 23.3 | |
| 119 | Sirohi Rajasthan, India | 23.1 | |
| 119 | Patna Bihar, India | 23.1 | |
| 121 | Rājsamand Rajasthan, India | 22.9 | |
| 121 | Agartala Tripura, India | 22.9 | |
| 123 | Cuernavaca Morelos, Mexico | 22.8 | |
| 124 | Roseburg Oregon, United States | 22.2 | |
| 125 | Hyderabad Telangana, India | 21.8 | |
| 125 | Bārān Rajasthan, India | 21.8 | |
| 127 | Āsansol West Bengal, India | 21.7 | |
| 128 | Naharlagun Arunachal Pradesh, India | 21.4 | |
| 129 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 21.1 | |
| 130 | Aurangabad Maharashtra, India | 20.9 | |
| 131 | Pori Satakunta, Finland | 20.6 | |
| 132 | Indore Madhya Pradesh, India | 20.4 | |
| 132 | Frýdek-Místek Moravian-Silesian Region, Czechia | 20.4 | |
| 132 | Fort-de-France Martinique, Martinique | 20.4 | |
| 132 | Ellensburg Washington, United States | 20.4 | |
| 136 | Chennai Tamil Nadu, India | 20.3 | |
| 136 | Łask Łódź Voivodeship, Poland | 20.3 | |
| 138 | Indianapolis Indiana, United States | 20.1 | |
| 139 | Kalisz Greater Poland, Poland | 20.0 | |
| 140 | Le Lamentin Martinique, Martinique | 19.9 | |
| 140 | Windsor low-cost sensors California, United States | 19.9 | |
| 142 | Xizhou Taiwan, Taiwan | 19.8 | |
| 143 | Guwahati Assam, India | 19.7 | |
| 143 | Dhule Maharashtra, India | 19.7 | |
| 143 | Douliu Taiwan, Taiwan | 19.7 | |
| 146 | Columbus Ohio, United States | 19.4 | |
| 147 | Winterthur low-cost sensors Zurich, Switzerland | 19.3 | |
| 148 | Gandhinagar Gujarat, India | 19.0 | |
| 148 | Zhushan Taiwan, Taiwan | 19.0 | |
| 150 | Kolkata West Bengal, India | 18.8 | |
| 150 | San Salvador Tizatlalli México, Mexico | 18.8 | |
| 152 | Valašské Meziříčí Zlín, Czechia | 18.6 | |
| 153 | Kota Rajasthan, India | 18.5 | |
| 153 | Sunnyside Washington, United States | 18.5 | |
| 155 | Tetovo Tetovo, North Macedonia | 18.3 | |
| 156 | Bhopal Madhya Pradesh, India | 18.2 | |
| 156 | Havířov Moravian-Silesian Region, Czechia | 18.2 | |
| 156 | Tri-Cities Washington, United States | 18.2 | |
| 159 | Miaoli Taiwan, Taiwan | 17.9 | |
| 159 | Lagos low-cost sensors Lagos, Nigeria | 17.9 | |
| 159 | Saltillo Coahuila, Mexico | 17.9 | |
| 162 | Terre Haute Indiana, United States | 17.8 | |
| 163 | Český Těšín Moravian-Silesian Region, Czechia | 17.7 | |
| 163 | Mankato Minnesota, United States | 17.7 | |
| 165 | Żyrardów Mazovia, Poland | 17.6 | |
| 165 | Middletown Ohio, United States | 17.6 | |
| 165 | Santa Rosa California, United States | 17.6 | |
| 168 | Rairangpur Odisha, India | 17.5 | |
| 169 | Wan Chai Wan Chai, Hong Kong | 17.4 | |
| 170 | Coimbatore Tamil Nadu, India | 17.3 | |
| 171 | Jastrzębie Zdrój Silesia, Poland | 17.2 | |
| 172 | Bonn North Rhine-Westphalia, Germany | 17.1 | |
| 172 | Westerville Ohio, United States | 17.1 | |
| 174 | Lewiston Idaho, United States | 17.0 | |
| 175 | Kalyān Maharashtra, India | 16.9 | |
| 175 | Schiedam South Holland, The Netherlands | 16.9 | |
| 175 | Třinec Moravian-Silesian Region, Czechia | 16.9 | |
| 178 | Hranice Olomouc Region, Czechia | 16.8 | |
| 178 | Kalamazoo Michigan, United States | 16.8 | |
| 180 | Yerevan low-cost sensors Yerevan, Armenia | 16.7 | |
| 180 | Hubballi Karnataka, India | 16.7 | |
| 180 | Shulin Taipei, Taiwan | 16.7 | |
| 180 | Mons Wallonia, Belgium | 16.7 | |
| 184 | Nagpur Maharashtra, India | 16.5 | |
| 184 | Badhoevedorp North Holland, The Netherlands | 16.5 | |
| 184 | Litvínov Ústí nad Labem Region, Czechia | 16.5 | |
| 184 | Yakima Washington, United States | 16.5 | |
| 188 | Istanbul low-cost sensors Istanbul, Turkey | 16.4 | |
| 188 | Beigang Taiwan, Taiwan | 16.4 | |
| 188 | Zhudong Taiwan, Taiwan | 16.4 | |
| 188 | Weißenfels Saxony-Anhalt, Germany | 16.4 | |
| 188 | Přerov Olomouc Region, Czechia | 16.4 | |
| 188 | Berkeley California, United States | 16.4 | |
| 194 | Perundurai Tamil Nadu, India | 16.3 | |
| 194 | Manchester low-cost sensors England, United Kingdom | 16.3 | |
| 196 | The Hague South Holland, The Netherlands | 16.2 | |
| 197 | Jhālāwār Rajasthan, India | 16.1 | |
| 197 | Gudalur Tamil Nadu, India | 16.1 | |
| 197 | Amsterdam North Holland, The Netherlands | 16.1 | |
| 197 | Owensboro Kentucky, United States | 16.1 |
Top 200 of 2,306 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