SmogRank / History / September 29, 2025
Most polluted cities on September 29, 2025
2,316 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Salamanca Castille and León, Spain | 210.0 | |
| 2 | Faisalabad low-cost sensors Punjab, Pakistan | 133.0 | |
| 3 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 126.0 | |
| 4 | Lahore low-cost sensors Punjab, Pakistan | 104.5 | |
| 5 | Gujranwala low-cost sensors Punjab, Pakistan | 102.4 | |
| 6 | Karauli Rajasthan, India | 88.8 | |
| 7 | Sialkot low-cost sensors Punjab, Pakistan | 87.1 | |
| 8 | Multan low-cost sensors Punjab, Pakistan | 84.4 | |
| 9 | Wenatchee Washington, United States | 80.3 | |
| 10 | Blantyre low-cost sensors Southern Region, Malawi | 77.9 | |
| 11 | Madikeri Karnataka, India | 71.9 | |
| 12 | Bahawalpur low-cost sensors Punjab, Pakistan | 68.1 | |
| 13 | Baddi Himachal Pradesh, India | 65.5 | |
| 14 | Chāpra Bihar, India | 61.5 | |
| 15 | Gummidipundi Tamil Nadu, India | 60.3 | |
| 16 | Narela Delhi, India | 55.3 | |
| 17 | Bhāgalpur Bihar, India | 53.9 | |
| 18 | Dushanbe Dushanbe, Tajikistan | 52.1 | |
| 19 | Dubai low-cost sensors Dubai, United Arab Emirates | 51.8 | |
| 20 | Bhiwadi Rajasthan, India | 50.8 | |
| 21 | Lucknow Uttar Pradesh, India | 49.3 | |
| 22 | Muzaffarnagar Uttar Pradesh, India | 47.8 | |
| 23 | Karachi low-cost sensors Sindh, Pakistan | 47.7 | |
| 24 | Rawalpindi low-cost sensors Punjab, Pakistan | 47.2 | |
| 25 | Rājgīr Bihar, India | 46.9 | |
| 26 | Changchun low-cost sensors Jilin, China | 45.6 | |
| 27 | Quetta low-cost sensors Balochistan, Pakistan | 45.4 | |
| 28 | Tirupati Andhra Pradesh, India | 44.9 | |
| 29 | Dādri Uttar Pradesh, India | 44.3 | |
| 30 | Hanumāngarh Rajasthan, India | 43.7 | |
| 31 | Faridabad Haryana, India | 42.7 | |
| 32 | Gaya Bihar, India | 41.3 | |
| 33 | Ghāziābād Uttar Pradesh, India | 41.1 | |
| 34 | Serilingampalle Telangana, India | 41.0 | |
| 35 | Morādābād Uttar Pradesh, India | 40.4 | |
| 36 | Noida Uttar Pradesh, India | 40.0 | |
| 37 | Rānīganj West Bengal, India | 39.4 | |
| 38 | Buxar Bihar, India | 38.0 | |
| 39 | Delhi Delhi, India | 37.7 | |
| 40 | Kadapa Andhra Pradesh, India | 37.5 | |
| 41 | Siwān Bihar, India | 37.4 | |
| 41 | Meerut Uttar Pradesh, India | 37.4 | |
| 43 | Greater Noida Uttar Pradesh, India | 36.4 | |
| 44 | Jalandhar Punjab, India | 35.9 | |
| 45 | Patiāla Punjab, India | 34.7 | |
| 46 | Tonk Rajasthan, India | 34.6 | |
| 46 | Arāria Bihar, India | 34.6 | |
| 48 | Jaipur Rajasthan, India | 34.2 | |
| 48 | Chandigarh Chandigarh, India | 34.2 | |
| 50 | Ropar Punjab, India | 33.5 | |
| 51 | Srinagar Jammu and Kashmir, India | 33.2 | |
| 51 | Patna Bihar, India | 33.2 | |
| 53 | Nagaon Assam, India | 33.0 | |
| 53 | Najafgarh Delhi, India | 33.0 | |
| 55 | Quthbullapur Telangana, India | 32.0 | |
| 56 | Bāghpat Uttar Pradesh, India | 31.8 | |
| 57 | Mohali Punjab, India | 31.6 | |
| 58 | Obrenovac Central Serbia, Serbia | 30.9 | |
| 58 | Sri Ganganagar Rajasthan, India | 30.9 | |
| 60 | Anantapur Andhra Pradesh, India | 29.7 | |
| 61 | Coimbatore Tamil Nadu, India | 29.1 | |
| 62 | Nalbāri Assam, India | 28.7 | |
| 63 | Bikaner Rajasthan, India | 28.6 | |
| 64 | Ajmer Rajasthan, India | 28.3 | |
| 65 | Istanbul low-cost sensors Istanbul, Turkey | 28.0 | |
| 66 | Agra Uttar Pradesh, India | 27.8 | |
| 67 | Ellensburg Washington, United States | 27.7 | |
| 68 | Mannheim Baden-Wurttemberg, Germany | 27.2 | |
| 69 | Silchar Assam, India | 26.5 | |
| 70 | Āsansol West Bengal, India | 26.3 | |
| 70 | Cataño Cataño, Puerto Rico | 26.3 | |
| 72 | Vereeniging low-cost sensors Gauteng, South Africa | 26.0 | |
| 72 | Jhunjhunūn Rajasthan, India | 26.0 | |
| 72 | Fort McMurray Alberta, Canada | 26.0 | |
| 75 | Bhilwara Rajasthan, India | 25.8 | |
| 76 | Gwalior Madhya Pradesh, India | 25.7 | |
| 76 | Kathmandu low-cost sensors Bagmati Province, Nepal | 25.7 | |
| 78 | Nagpur Maharashtra, India | 24.9 | |
| 79 | Iloilo low-cost sensors Western Visayas, Philippines | 24.3 | |
| 80 | Naharlagun Arunachal Pradesh, India | 24.1 | |
| 81 | Chānda Maharashtra, India | 24.0 | |
| 82 | Neelankarai Tamil Nadu, India | 23.9 | |
| 83 | Nandri Rajasthan, India | 23.7 | |
| 84 | Požarevac Central Serbia, Serbia | 23.6 | |
| 84 | Kolkata West Bengal, India | 23.6 | |
| 86 | Hermiston Oregon, United States | 23.5 | |
| 87 | Chennai Tamil Nadu, India | 23.3 | |
| 88 | Panvel Maharashtra, India | 23.1 | |
| 89 | Wadgaon Kolhati Maharashtra, India | 23.0 | |
| 90 | Quezon City low-cost sensors National Capital Region, Philippines | 22.6 | |
| 91 | Agartala Tripura, India | 22.5 | |
| 92 | Valjevo Central Serbia, Serbia | 22.4 | |
| 93 | Ruse Ruse, Bulgaria | 22.3 | |
| 93 | Chūru Rajasthan, India | 22.3 | |
| 93 | Bhiwāni Haryana, India | 22.3 | |
| 93 | Ankleshwar Gujarat, India | 22.3 | |
| 97 | Belgrade Central Serbia, Serbia | 22.2 | |
| 97 | Sīkar Rajasthan, India | 22.2 | |
| 97 | Hyderabad Telangana, India | 22.2 | |
| 97 | Baripāda Odisha, India | 22.2 | |
| 97 | Angul Odisha, India | 22.2 | |
| 102 | Ludwigshafen am Rhein Rheinland-Pfalz, Germany | 21.8 | |
| 102 | Užice Central Serbia, Serbia | 21.8 | |
| 104 | Bengaluru Karnataka, India | 21.5 | |
| 104 | Kharghar Maharashtra, India | 21.5 | |
| 106 | Durgapur West Bengal, India | 21.4 | |
| 106 | Yakima Washington, United States | 21.4 | |
| 106 | Vernon British Columbia, Canada | 21.4 | |
| 109 | Dausa Rajasthan, India | 21.0 | |
| 109 | Dortmund North Rhine-Westphalia, Germany | 21.0 | |
| 111 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 20.7 | |
| 112 | Jaisalmer Rajasthan, India | 20.6 | |
| 112 | Walla Walla Washington, United States | 20.6 | |
| 112 | Kelowna British Columbia, Canada | 20.6 | |
| 115 | Lagos low-cost sensors Lagos, Nigeria | 20.5 | |
| 116 | Kalyān Maharashtra, India | 20.4 | |
| 116 | Winterthur low-cost sensors Zurich, Switzerland | 20.4 | |
| 118 | Prayagraj Uttar Pradesh, India | 20.3 | |
| 119 | Kanpur Uttar Pradesh, India | 20.2 | |
| 120 | Cuddalore Tamil Nadu, India | 20.1 | |
| 120 | St. Louis Missouri, United States | 20.1 | |
| 122 | Bārān Rajasthan, India | 19.8 | |
| 123 | Gudalur Tamil Nadu, India | 19.7 | |
| 124 | Tuxtla Chiapas, Mexico | 19.5 | |
| 125 | Saltillo Coahuila, Mexico | 19.4 | |
| 125 | Joda Odisha, India | 19.4 | |
| 127 | Niš Central Serbia, Serbia | 19.3 | |
| 127 | Tri-Cities Washington, United States | 19.3 | |
| 129 | Smederevo Central Serbia, Serbia | 19.1 | |
| 129 | Sirohi Rajasthan, India | 19.1 | |
| 131 | Shulin Taipei, Taiwan | 18.8 | |
| 132 | Bhiwandi Maharashtra, India | 18.7 | |
| 132 | Worms Rheinland-Pfalz, Germany | 18.7 | |
| 134 | Yerevan low-cost sensors Yerevan, Armenia | 18.5 | |
| 135 | Jalor Rajasthan, India | 18.4 | |
| 135 | Bhopal Madhya Pradesh, India | 18.4 | |
| 135 | Bharatpur Rajasthan, India | 18.4 | |
| 138 | Rourkela Odisha, India | 18.3 | |
| 139 | Mankato Minnesota, United States | 18.2 | |
| 140 | Heidelberg Baden-Wurttemberg, Germany | 18.1 | |
| 141 | Wake Forest low-cost sensors North Carolina, United States | 18.0 | |
| 142 | Speyer Rheinland-Pfalz, Germany | 17.9 | |
| 143 | Lampertheim Hesse, Germany | 17.8 | |
| 144 | Cuttack Odisha, India | 17.7 | |
| 144 | Ashaiman low-cost sensors Greater Accra, Ghana | 17.7 | |
| 144 | Yellowknife low-cost sensors Northwest Territories, Canada | 17.7 | |
| 147 | Aurangabad Maharashtra, India | 17.6 | |
| 147 | Kłodzko Lower Silesia, Poland | 17.6 | |
| 149 | Krefeld North Rhine-Westphalia, Germany | 17.5 | |
| 150 | Pendleton Oregon, United States | 17.4 | |
| 151 | Pune Maharashtra, India | 17.3 | |
| 151 | Jodhpur Rajasthan, India | 17.3 | |
| 151 | Spokane Washington, United States | 17.3 | |
| 154 | Zhudong Taiwan, Taiwan | 17.2 | |
| 155 | Virār Maharashtra, India | 17.1 | |
| 155 | Shrīrāmpur West Bengal, India | 17.1 | |
| 155 | Breda North Brabant, The Netherlands | 17.1 | |
| 158 | Kolhāpur Maharashtra, India | 17.0 | |
| 158 | Denain Hauts-de-France, France | 17.0 | |
| 158 | Portsmouth Ohio, United States | 17.0 | |
| 158 | Fort Dodge Iowa, United States | 17.0 | |
| 162 | Shivamogga Karnataka, India | 16.9 | |
| 163 | Olpe low-cost sensors North Rhine-Westphalia, Germany | 16.8 | |
| 163 | Mönchengladbach North Rhine-Westphalia, Germany | 16.8 | |
| 163 | Roseburg Oregon, United States | 16.8 | |
| 163 | Kamloops British Columbia, Canada | 16.8 | |
| 167 | Jalgaon Maharashtra, India | 16.7 | |
| 167 | Jabalpur Madhya Pradesh, India | 16.7 | |
| 167 | Yamanashi Yamanashi, Japan | 16.7 | |
| 170 | Venlo Limburg, The Netherlands | 16.6 | |
| 170 | Grimbergen Flanders, Belgium | 16.6 | |
| 170 | Beersel low-cost sensors Flanders, Belgium | 16.6 | |
| 173 | Jüchen North Rhine-Westphalia, Germany | 16.4 | |
| 173 | Gary Indiana, United States | 16.4 | |
| 175 | Nāgaur Rajasthan, India | 16.3 | |
| 175 | Daxi Taiwan, Taiwan | 16.3 | |
| 175 | Münster North Rhine-Westphalia, Germany | 16.3 | |
| 178 | Mumbai Maharashtra, India | 16.2 | |
| 178 | Osnabrück Lower Saxony, Germany | 16.2 | |
| 178 | Hagen North Rhine-Westphalia, Germany | 16.2 | |
| 178 | York Pennsylvania, United States | 16.2 | |
| 182 | Aschaffenburg Bavaria, Germany | 16.1 | |
| 182 | Sunnyside Washington, United States | 16.1 | |
| 184 | Datteln North Rhine-Westphalia, Germany | 16.0 | |
| 184 | Bielefeld North Rhine-Westphalia, Germany | 16.0 | |
| 186 | Venray Limburg, The Netherlands | 15.9 | |
| 186 | Oberhausen North Rhine-Westphalia, Germany | 15.9 | |
| 186 | Cincinnati Ohio, United States | 15.9 | |
| 186 | Houston Texas, United States | 15.9 | |
| 190 | Tirumala Andhra Pradesh, India | 15.8 | |
| 190 | Yuanlin Taiwan, Taiwan | 15.8 | |
| 190 | Beigang Taiwan, Taiwan | 15.8 | |
| 190 | Porto low-cost sensors Porto, Portugal | 15.8 | |
| 190 | Ciudad Benito Juárez Nuevo León, Mexico | 15.8 | |
| 190 | Brookfield Illinois, United States | 15.8 | |
| 190 | Wheaton low-cost sensors Illinois, United States | 15.8 | |
| 197 | Antwerp Flanders, Belgium | 15.7 | |
| 197 | Jeffersonville Indiana, United States | 15.7 | |
| 197 | Middletown Ohio, United States | 15.7 | |
| 200 | Dhule Maharashtra, India | 15.6 |
Top 200 of 2,316 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