SmogRank / History / October 28, 2025
Most polluted cities on October 28, 2025
2,214 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Multan low-cost sensors Punjab, Pakistan | 340.0 | |
| 2 | Faisalabad low-cost sensors Punjab, Pakistan | 328.0 | |
| 3 | Lahore low-cost sensors Punjab, Pakistan | 246.0 | |
| 4 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 186.0 | |
| 5 | Bahawalpur low-cost sensors Punjab, Pakistan | 163.0 | |
| 6 | Gujranwala low-cost sensors Punjab, Pakistan | 160.0 | |
| 7 | Dhāruhera Haryana, India | 147.0 | |
| 8 | Noida Uttar Pradesh, India | 142.5 | |
| 9 | Sialkot low-cost sensors Punjab, Pakistan | 142.0 | |
| 10 | Bhiwāni Haryana, India | 139.0 | |
| 11 | Greater Noida Uttar Pradesh, India | 136.0 | |
| 12 | Delhi Delhi, India | 135.0 | |
| 13 | Najafgarh Delhi, India | 132.0 | |
| 14 | Srinagar Jammu and Kashmir, India | 128.0 | |
| 15 | Narela Delhi, India | 126.0 | |
| 16 | Gummidipundi Tamil Nadu, India | 118.0 | |
| 17 | Bāghpat Uttar Pradesh, India | 117.0 | |
| 18 | Dādri Uttar Pradesh, India | 116.0 | |
| 19 | Bhiwadi Rajasthan, India | 114.5 | |
| 20 | Dushanbe Dushanbe, Tajikistan | 111.0 | |
| 21 | Muzaffarnagar Uttar Pradesh, India | 104.0 | |
| 22 | Ghāziābād Uttar Pradesh, India | 101.0 | |
| 23 | Dausa Rajasthan, India | 88.2 | |
| 24 | Rawalpindi low-cost sensors Punjab, Pakistan | 87.0 | |
| 25 | Meerut Uttar Pradesh, India | 82.7 | |
| 26 | Baddi Himachal Pradesh, India | 77.6 | |
| 27 | Jalandhar Punjab, India | 76.1 | |
| 28 | Changchun low-cost sensors Jilin, China | 75.5 | |
| 29 | Thānesar Haryana, India | 74.6 | |
| 30 | Gaya Bihar, India | 73.1 | |
| 31 | Sri Ganganagar Rajasthan, India | 73.0 | |
| 32 | Chandigarh Chandigarh, India | 72.9 | |
| 33 | Saugor Madhya Pradesh, India | 70.9 | |
| 34 | Bharatpur Rajasthan, India | 70.8 | |
| 35 | Hājīpur Bihar, India | 70.6 | |
| 36 | Islamabad low-cost sensors Islamabad, Pakistan | 69.4 | |
| 37 | Karachi low-cost sensors Sindh, Pakistan | 67.5 | |
| 38 | Begusarai Bihar, India | 66.6 | |
| 39 | Tonk Rajasthan, India | 66.4 | |
| 39 | Bhopal Madhya Pradesh, India | 66.4 | |
| 41 | Singrauli Madhya Pradesh, India | 65.9 | |
| 42 | Quetta low-cost sensors Balochistan, Pakistan | 65.1 | |
| 43 | Morādābād Uttar Pradesh, India | 64.5 | |
| 44 | Jabalpur Madhya Pradesh, India | 64.1 | |
| 45 | Dubai low-cost sensors Dubai, United Arab Emirates | 63.0 | |
| 46 | Jaipur Rajasthan, India | 61.8 | |
| 47 | Hanumāngarh Rajasthan, India | 61.6 | |
| 48 | Chūru Rajasthan, India | 58.7 | |
| 49 | Bikaner Rajasthan, India | 57.5 | |
| 50 | Kampala low-cost sensors Central Region, Uganda | 56.9 | |
| 51 | Kathmandu low-cost sensors Bagmati Province, Nepal | 56.6 | |
| 52 | Patiāla Punjab, India | 56.3 | |
| 53 | Nāgaur Rajasthan, India | 56.1 | |
| 54 | Sīkar Rajasthan, India | 54.1 | |
| 55 | Arāria Bihar, India | 51.3 | |
| 56 | Jhunjhunūn Rajasthan, India | 51.1 | |
| 57 | Lucknow Uttar Pradesh, India | 50.6 | |
| 58 | Jaisalmer Rajasthan, India | 50.3 | |
| 59 | Patna Bihar, India | 48.9 | |
| 60 | Rourkela Odisha, India | 47.6 | |
| 60 | Kolkata West Bengal, India | 47.6 | |
| 62 | Thiès low-cost sensors Thies, Senegal | 44.5 | |
| 63 | Kharghar Maharashtra, India | 41.8 | |
| 64 | Haldia West Bengal, India | 40.7 | |
| 65 | Agra Uttar Pradesh, India | 40.1 | |
| 66 | Hyderabad Telangana, India | 39.7 | |
| 67 | San Tung Chung Hang Islands, Hong Kong | 39.0 | |
| 68 | Lilongwe low-cost sensors Central Region, Malawi | 38.6 | |
| 69 | Bhelai Chhattisgarh, India | 38.4 | |
| 70 | Shrīrāmpur West Bengal, India | 38.1 | |
| 70 | Kanpur Uttar Pradesh, India | 38.1 | |
| 72 | Anantapur Andhra Pradesh, India | 37.8 | |
| 73 | Tuen Mun Tuen Mun, Hong Kong | 37.6 | |
| 74 | Prayagraj Uttar Pradesh, India | 37.4 | |
| 75 | Chāpra Bihar, India | 37.2 | |
| 76 | Jhālāwār Rajasthan, India | 36.9 | |
| 77 | Ajmer Rajasthan, India | 36.7 | |
| 78 | Wan Chai Wan Chai, Hong Kong | 36.5 | |
| 79 | Tirupati Andhra Pradesh, India | 36.4 | |
| 80 | Tin Shui Wai Yuen Long, Hong Kong | 36.0 | |
| 81 | Blantyre low-cost sensors Southern Region, Malawi | 35.1 | |
| 82 | Silchar Assam, India | 35.0 | |
| 83 | Bhāgalpur Bihar, India | 34.7 | |
| 84 | Nanded Maharashtra, India | 34.4 | |
| 84 | Coimbatore Tamil Nadu, India | 34.4 | |
| 86 | Rājgīr Bihar, India | 34.3 | |
| 87 | Mangaluru Karnataka, India | 34.0 | |
| 87 | Nandri Rajasthan, India | 34.0 | |
| 89 | Ropar Punjab, India | 33.9 | |
| 89 | Agartala Tripura, India | 33.9 | |
| 91 | Tai Po Tai Po, Hong Kong | 33.8 | |
| 92 | Āsansol West Bengal, India | 33.4 | |
| 93 | Rānīganj West Bengal, India | 33.1 | |
| 94 | Vapi Gujarat, India | 32.7 | |
| 95 | Sirsa Haryana, India | 32.6 | |
| 96 | Vijayawada Andhra Pradesh, India | 32.2 | |
| 96 | Delano low-cost sensors California, United States | 32.2 | |
| 98 | Sāngli Maharashtra, India | 32.0 | |
| 99 | Tijuana Baja California, Mexico | 31.9 | |
| 100 | Guwahati Assam, India | 31.8 | |
| 101 | Jalgaon Maharashtra, India | 31.7 | |
| 102 | Arrah Bihar, India | 31.3 | |
| 102 | Hacienda Santa Fe Jalisco, Mexico | 31.3 | |
| 102 | Joda Odisha, India | 31.3 | |
| 105 | Nalbāri Assam, India | 31.1 | |
| 105 | Lagos low-cost sensors Lagos, Nigeria | 31.1 | |
| 107 | Strumica Strumica, North Macedonia | 31.0 | |
| 107 | Vereeniging low-cost sensors Gauteng, South Africa | 31.0 | |
| 109 | Naharlagun Arunachal Pradesh, India | 30.9 | |
| 109 | Pimpri-Chinchwad Maharashtra, India | 30.9 | |
| 111 | Parbhani Maharashtra, India | 30.8 | |
| 112 | Sham Shui Po Sham Shui Po District, Hong Kong | 30.5 | |
| 113 | Karauli Rajasthan, India | 30.3 | |
| 114 | Rishīkesh Uttarakhand, India | 30.1 | |
| 115 | Fanling North District, Hong Kong | 30.0 | |
| 115 | Tulare low-cost sensors California, United States | 30.0 | |
| 117 | Jodhpur Rajasthan, India | 29.9 | |
| 118 | Guadalajara Jalisco, Mexico | 29.8 | |
| 119 | Ciudad Benito Juárez Nuevo León, Mexico | 29.7 | |
| 120 | Iloilo low-cost sensors Western Visayas, Philippines | 29.5 | |
| 120 | Tuxtla Chiapas, Mexico | 29.5 | |
| 122 | Saharsa Bihar, India | 29.4 | |
| 123 | Durgapur West Bengal, India | 29.3 | |
| 124 | Kolhāpur Maharashtra, India | 29.2 | |
| 125 | Tsuen Wan Tsuen Wan, Hong Kong | 28.9 | |
| 126 | Mong Kok Yau Tsim Mong District, Hong Kong | 28.8 | |
| 127 | Bengaluru Karnataka, India | 28.6 | |
| 127 | Akola Maharashtra, India | 28.6 | |
| 129 | Sha Tin Sha Tin, Hong Kong | 28.5 | |
| 130 | Kavadarci Kavadarci, North Macedonia | 28.4 | |
| 131 | Bārmer Rajasthan, India | 28.0 | |
| 131 | Kwai Chung Kwai Tsing District, Hong Kong | 28.0 | |
| 133 | Amravati Maharashtra, India | 27.9 | |
| 133 | Banja Luka Srpska, Bosnia and Herzegovina | 27.9 | |
| 135 | Aberdeen Southern District, Hong Kong | 27.7 | |
| 135 | Victoria Central and Western, Hong Kong | 27.7 | |
| 137 | San Francisco Tlalcilalcalpan México, Mexico | 27.5 | |
| 138 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 27.1 | |
| 139 | Kaunas Kaunas, Lithuania | 26.6 | |
| 140 | Wadgaon Kolhati Maharashtra, India | 26.3 | |
| 141 | Istanbul low-cost sensors Istanbul, Turkey | 26.1 | |
| 142 | Kaithal Haryana, India | 26.0 | |
| 142 | Tlaquepaque Jalisco, Mexico | 26.0 | |
| 144 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 25.9 | |
| 145 | Tetovo Tetovo, North Macedonia | 25.6 | |
| 146 | Dej Cluj County, Romania | 25.4 | |
| 146 | Nagpur Maharashtra, India | 25.4 | |
| 146 | Indore Madhya Pradesh, India | 25.4 | |
| 149 | Harare low-cost sensors Harare, Zimbabwe | 25.2 | |
| 149 | Panvel Maharashtra, India | 25.2 | |
| 151 | Chānda Maharashtra, India | 25.1 | |
| 152 | Kalyān Maharashtra, India | 24.9 | |
| 152 | Sau Mau Ping Kwun Tong District, Hong Kong | 24.9 | |
| 152 | Bijelo Polje Bijelo Polje, Montenegro | 24.9 | |
| 155 | Chittoor Andhra Pradesh, India | 24.8 | |
| 156 | Closepet Karnataka, India | 24.4 | |
| 156 | Dhaulpur Rajasthan, India | 24.4 | |
| 158 | Pratāpgarh Rajasthan, India | 24.3 | |
| 159 | Pune Maharashtra, India | 24.1 | |
| 159 | Cadereyta Jiménez Nuevo León, Mexico | 24.1 | |
| 161 | Mumbai Maharashtra, India | 23.9 | |
| 161 | Bhiwandi Maharashtra, India | 23.9 | |
| 161 | Ankleshwar Gujarat, India | 23.9 | |
| 164 | Salamanca Guanajuato, Mexico | 23.8 | |
| 165 | Sukuta low-cost sensors Western, Gambia | 23.7 | |
| 166 | Gadag-Betageri Karnataka, India | 23.5 | |
| 167 | Angul Odisha, India | 23.3 | |
| 168 | San Salvador Tizatlalli México, Mexico | 23.1 | |
| 169 | Yerevan low-cost sensors Yerevan, Armenia | 23.0 | |
| 169 | Aurangabad Maharashtra, India | 23.0 | |
| 171 | Skopje Grad Skopje, North Macedonia | 22.9 | |
| 172 | Madikeri Karnataka, India | 22.5 | |
| 172 | Badlapur Maharashtra, India | 22.5 | |
| 174 | Gwalior Madhya Pradesh, India | 22.3 | |
| 174 | Gijón Asturias, Spain | 22.3 | |
| 176 | Gostivar Gostivar, North Macedonia | 22.0 | |
| 176 | Ciudad Apodaca Nuevo León, Mexico | 22.0 | |
| 178 | Monterrey Nuevo León, Mexico | 21.9 | |
| 179 | Bangkok low-cost sensors Bangkok, Thailand | 21.3 | |
| 180 | Mahād Maharashtra, India | 21.1 | |
| 180 | Belagavi Karnataka, India | 21.1 | |
| 182 | Quezon City low-cost sensors National Capital Region, Philippines | 20.8 | |
| 183 | Sai Mai low-cost sensors Bangkok, Thailand | 20.7 | |
| 183 | Barbil Odisha, India | 20.7 | |
| 185 | Ashaiman low-cost sensors Greater Accra, Ghana | 20.6 | |
| 186 | Zacatepec de Hidalgo Morelos, Mexico | 20.5 | |
| 186 | Santa Catarina Nuevo León, Mexico | 20.5 | |
| 188 | Sawai Madhopur Rajasthan, India | 20.3 | |
| 189 | Hubballi Karnataka, India | 20.2 | |
| 190 | Bhayandar Maharashtra, India | 20.1 | |
| 190 | San Diego California, United States | 20.1 | |
| 192 | Tema low-cost sensors Greater Accra, Ghana | 19.9 | |
| 193 | Santa Anita Jalisco, Mexico | 19.8 | |
| 194 | Bhilai Chhattisgarh, India | 19.7 | |
| 195 | Anaheim California, United States | 19.5 | |
| 196 | Sholapur Maharashtra, India | 19.3 | |
| 196 | Puebla Puebla, Mexico | 19.3 | |
| 198 | Porto low-cost sensors Porto, Portugal | 19.2 | |
| 199 | Shivamogga Karnataka, India | 19.1 | |
| 199 | Tehuacán Puebla, Mexico | 19.1 |
Top 200 of 2,214 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