SmogRank / History / October 30, 2025
Most polluted cities on October 30, 2025
2,280 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Bhiwāni Haryana, India | 335.0 | |
| 2 | Faisalabad low-cost sensors Punjab, Pakistan | 319.0 | |
| 3 | Lahore low-cost sensors Punjab, Pakistan | 314.0 | |
| 4 | Gujranwala low-cost sensors Punjab, Pakistan | 293.0 | |
| 5 | Multan low-cost sensors Punjab, Pakistan | 277.5 | |
| 6 | Bahawalpur low-cost sensors Punjab, Pakistan | 219.0 | |
| 7 | Narela Delhi, India | 218.0 | |
| 8 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 215.0 | |
| 9 | Delhi Delhi, India | 198.0 | |
| 10 | Bahadurgarh Haryana, India | 194.0 | |
| 11 | Nagapattinam Tamil Nadu, India | 186.0 | |
| 12 | Noida Uttar Pradesh, India | 185.5 | |
| 13 | Najafgarh Delhi, India | 181.0 | |
| 14 | Bhiwadi Rajasthan, India | 179.0 | |
| 15 | Sonīpat Haryana, India | 178.0 | |
| 16 | Aya Nagar Delhi, India | 167.0 | |
| 17 | Jīnd Haryana, India | 165.0 | |
| 18 | Bāghpat Uttar Pradesh, India | 164.0 | |
| 19 | Srinagar Jammu and Kashmir, India | 160.0 | |
| 20 | Sialkot low-cost sensors Punjab, Pakistan | 157.0 | |
| 20 | Hanumāngarh Rajasthan, India | 157.0 | |
| 22 | Greater Noida Uttar Pradesh, India | 152.0 | |
| 23 | Bikaner Rajasthan, India | 150.0 | |
| 24 | Ghāziābād Uttar Pradesh, India | 142.0 | |
| 24 | Dādri Uttar Pradesh, India | 142.0 | |
| 26 | Chūru Rajasthan, India | 124.0 | |
| 27 | Sīkar Rajasthan, India | 112.0 | |
| 28 | Jhunjhunūn Rajasthan, India | 110.0 | |
| 29 | Tonk Rajasthan, India | 104.0 | |
| 30 | Begusarai Bihar, India | 101.0 | |
| 31 | Dausa Rajasthan, India | 98.2 | |
| 32 | Rawalpindi low-cost sensors Punjab, Pakistan | 96.3 | |
| 33 | Jaipur Rajasthan, India | 93.6 | |
| 34 | Jaisalmer Rajasthan, India | 92.8 | |
| 35 | Nāgaur Rajasthan, India | 90.5 | |
| 36 | Quetta low-cost sensors Balochistan, Pakistan | 87.5 | |
| 37 | Muzaffarnagar Uttar Pradesh, India | 83.4 | |
| 38 | Yamuna Nagar Haryana, India | 82.6 | |
| 39 | Hyderabad low-cost sensors Sindh, Pakistan | 79.1 | |
| 40 | Jalandhar Punjab, India | 77.5 | |
| 41 | Islamabad low-cost sensors Islamabad, Pakistan | 77.2 | |
| 42 | Jalgaon Maharashtra, India | 76.9 | |
| 43 | Thānesar Haryana, India | 74.9 | |
| 44 | Kaithal Haryana, India | 72.2 | |
| 44 | Sri Ganganagar Rajasthan, India | 72.2 | |
| 46 | Karachi low-cost sensors Sindh, Pakistan | 69.0 | |
| 47 | Tambaram Tamil Nadu, India | 65.5 | |
| 48 | Meerut Uttar Pradesh, India | 63.8 | |
| 49 | Rājsamand Rajasthan, India | 62.4 | |
| 49 | Panchkula Haryana, India | 62.4 | |
| 51 | Patiāla Punjab, India | 58.1 | |
| 52 | Ajmer Rajasthan, India | 55.3 | |
| 53 | Karauli Rajasthan, India | 54.5 | |
| 53 | Hāpur Uttar Pradesh, India | 54.5 | |
| 55 | Chittorgarh Rajasthan, India | 52.4 | |
| 56 | Tiruchirappalli Tamil Nadu, India | 51.7 | |
| 57 | Nandri Rajasthan, India | 51.5 | |
| 58 | Ankleshwar Gujarat, India | 50.7 | |
| 59 | Dubai low-cost sensors Dubai, United Arab Emirates | 49.6 | |
| 59 | Baddi Himachal Pradesh, India | 49.6 | |
| 61 | Changchun low-cost sensors Jilin, China | 49.3 | |
| 62 | Morādābād Uttar Pradesh, India | 49.1 | |
| 63 | Jodhpur Rajasthan, India | 47.8 | |
| 64 | Dhaulpur Rajasthan, India | 47.6 | |
| 65 | Blantyre low-cost sensors Southern Region, Malawi | 47.5 | |
| 66 | Gummidipundi Tamil Nadu, India | 46.3 | |
| 67 | Dushanbe Dushanbe, Tajikistan | 45.9 | |
| 67 | Bhilwara Rajasthan, India | 45.9 | |
| 69 | Bijelo Polje Bijelo Polje, Montenegro | 45.4 | |
| 70 | Malegaon Maharashtra, India | 45.3 | |
| 71 | Almaty low-cost sensors Almaty, Kazakhstan | 45.2 | |
| 72 | Sirsa Haryana, India | 44.9 | |
| 73 | Chandigarh Chandigarh, India | 44.7 | |
| 74 | Dhule Maharashtra, India | 44.4 | |
| 74 | Sioux Falls South Dakota, United States | 44.4 | |
| 76 | Lilongwe low-cost sensors Central Region, Malawi | 42.7 | |
| 76 | Kadapa Andhra Pradesh, India | 42.7 | |
| 78 | Tetovo Tetovo, North Macedonia | 42.6 | |
| 79 | Lima Lima Province, Peru | 42.1 | |
| 80 | Ariyalūr Tamil Nadu, India | 41.7 | |
| 81 | Kavadarci Kavadarci, North Macedonia | 41.1 | |
| 82 | Strumica Strumica, North Macedonia | 40.9 | |
| 83 | Kampala low-cost sensors Central Region, Uganda | 40.4 | |
| 84 | Wadgaon Kolhati Maharashtra, India | 40.3 | |
| 85 | Tulare low-cost sensors California, United States | 39.4 | |
| 85 | Vapi Gujarat, India | 39.4 | |
| 87 | Lucknow Uttar Pradesh, India | 38.5 | |
| 87 | Lagos low-cost sensors Lagos, Nigeria | 38.5 | |
| 89 | Bhelai Chhattisgarh, India | 38.4 | |
| 90 | Sirohi Rajasthan, India | 37.9 | |
| 91 | Naharlagun Arunachal Pradesh, India | 37.8 | |
| 92 | Bharatpur Rajasthan, India | 37.7 | |
| 93 | Vereeniging low-cost sensors Gauteng, South Africa | 37.4 | |
| 93 | Vijayawada Andhra Pradesh, India | 37.4 | |
| 95 | Sawai Madhopur Rajasthan, India | 37.3 | |
| 96 | Anantapur Andhra Pradesh, India | 36.9 | |
| 97 | Kumanovo Kumanovo, North Macedonia | 36.7 | |
| 98 | Dūngarpur Rajasthan, India | 36.6 | |
| 99 | Delano low-cost sensors California, United States | 36.3 | |
| 100 | Santa Anita - Los Ficus Lima region, Peru | 36.1 | |
| 101 | Rānipet Tamil Nadu, India | 35.5 | |
| 102 | Nashik Maharashtra, India | 35.4 | |
| 103 | Tijuana Baja California, Mexico | 35.2 | |
| 104 | Nanded Maharashtra, India | 35.1 | |
| 105 | Villa Poeta José Gálvez Barrenechea Lima region, Peru | 34.6 | |
| 106 | Rasapūdipalem Andhra Pradesh, India | 33.8 | |
| 107 | Jhālāwār Rajasthan, India | 33.7 | |
| 108 | Kigali Kigali, Rwanda | 32.9 | |
| 108 | San Francisco De Borja Lima region, Peru | 32.9 | |
| 110 | Būndi Rajasthan, India | 32.6 | |
| 111 | Codlea Brașov County, Romania | 32.1 | |
| 112 | Xonacatlán México, Mexico | 32.0 | |
| 112 | Pimpri-Chinchwad Maharashtra, India | 32.0 | |
| 114 | Kota Rajasthan, India | 31.9 | |
| 115 | Gandhinagar Gujarat, India | 31.8 | |
| 116 | Parbhani Maharashtra, India | 31.6 | |
| 117 | Mangaluru Karnataka, India | 31.5 | |
| 118 | Gwalior Madhya Pradesh, India | 31.3 | |
| 118 | Joda Odisha, India | 31.3 | |
| 120 | Veles Veles, North Macedonia | 31.1 | |
| 121 | Mahād Maharashtra, India | 30.7 | |
| 122 | Jalor Rajasthan, India | 30.4 | |
| 122 | Bhopal Madhya Pradesh, India | 30.4 | |
| 124 | Istanbul low-cost sensors Istanbul, Turkey | 30.2 | |
| 124 | Bengaluru Karnataka, India | 30.2 | |
| 126 | Latur Maharashtra, India | 29.8 | |
| 126 | Pljevlja Pljevlja, Montenegro | 29.8 | |
| 128 | Gostivar Gostivar, North Macedonia | 29.5 | |
| 129 | Chittoor Andhra Pradesh, India | 29.3 | |
| 130 | Quezon City low-cost sensors National Capital Region, Philippines | 28.8 | |
| 131 | Dej Cluj County, Romania | 28.7 | |
| 131 | Akola Maharashtra, India | 28.7 | |
| 133 | Hājīpur Bihar, India | 28.6 | |
| 134 | Cholula Puebla, Mexico | 28.5 | |
| 135 | Skopje Grad Skopje, North Macedonia | 28.3 | |
| 136 | Badlapur Maharashtra, India | 28.2 | |
| 136 | Ahmedabad Gujarat, India | 28.2 | |
| 138 | Kalyān Maharashtra, India | 28.1 | |
| 139 | Aurangabad Maharashtra, India | 27.8 | |
| 140 | Coimbatore Tamil Nadu, India | 27.6 | |
| 141 | Sukuta low-cost sensors Western, Gambia | 27.5 | |
| 142 | Rourkela Odisha, India | 26.6 | |
| 143 | Callao Callao, Peru | 26.4 | |
| 144 | Cuddalore Tamil Nadu, India | 26.3 | |
| 145 | Kharghar Maharashtra, India | 26.2 | |
| 146 | Gūduvāncheri Tamil Nadu, India | 26.1 | |
| 146 | Bārmer Rajasthan, India | 26.1 | |
| 148 | Wan Chai Wan Chai, Hong Kong | 26.0 | |
| 149 | San Francisco Tlalcilalcalpan México, Mexico | 25.9 | |
| 150 | Pratāpgarh Rajasthan, India | 25.8 | |
| 151 | Boisar Maharashtra, India | 25.7 | |
| 152 | Mitrovicë Mitrovica, Kosovo | 25.5 | |
| 153 | Bhiwandi Maharashtra, India | 25.4 | |
| 154 | Ciudad Benito Juárez Nuevo León, Mexico | 24.8 | |
| 155 | Chennai Tamil Nadu, India | 24.7 | |
| 155 | Kolhāpur Maharashtra, India | 24.7 | |
| 155 | Bakersfield California, United States | 24.7 | |
| 158 | Hubballi Karnataka, India | 24.5 | |
| 159 | Hanford California, United States | 24.4 | |
| 160 | Hyderabad Telangana, India | 24.3 | |
| 161 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 24.2 | |
| 162 | Sāngli Maharashtra, India | 24.1 | |
| 162 | Tuen Mun Tuen Mun, Hong Kong | 24.1 | |
| 164 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 23.9 | |
| 164 | Corcoran California, United States | 23.9 | |
| 166 | Guwahati Assam, India | 23.8 | |
| 167 | Mixquiahuala de Juárez Hidalgo, Mexico | 23.6 | |
| 168 | Silchar Assam, India | 23.5 | |
| 168 | Salem Tamil Nadu, India | 23.5 | |
| 168 | Hacienda Santa Fe Jalisco, Mexico | 23.5 | |
| 171 | Gaya Bihar, India | 23.2 | |
| 172 | Surat Gujarat, India | 23.1 | |
| 172 | Salamanca Guanajuato, Mexico | 23.1 | |
| 174 | Isahaya Nagasaki, Japan | 23.0 | |
| 175 | Ilinden Ilinden, North Macedonia | 22.8 | |
| 176 | Virār Maharashtra, India | 22.6 | |
| 176 | Singrauli Madhya Pradesh, India | 22.6 | |
| 178 | Ahilyanagar Maharashtra, India | 22.4 | |
| 178 | Naucalpan de Juárez México, Mexico | 22.4 | |
| 180 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 22.0 | |
| 180 | Panvel Maharashtra, India | 22.0 | |
| 182 | Kolkata West Bengal, India | 21.9 | |
| 182 | Tin Shui Wai Yuen Long, Hong Kong | 21.9 | |
| 184 | Gevgelija Gevgelija, North Macedonia | 21.7 | |
| 184 | Vellore Tamil Nadu, India | 21.7 | |
| 184 | Bhubaneswar Odisha, India | 21.7 | |
| 184 | Saltillo Coahuila, Mexico | 21.7 | |
| 184 | Badger Alaska, United States | 21.7 | |
| 189 | Mexico City Mexico City, Mexico | 21.5 | |
| 190 | Skarżysko-Kamienna Świętokrzyskie, Poland | 21.4 | |
| 190 | Kanpur Uttar Pradesh, India | 21.4 | |
| 192 | Bānswāra Rajasthan, India | 21.2 | |
| 192 | Travnik Federation of B&H, Bosnia and Herzegovina | 21.2 | |
| 194 | San Tung Chung Hang Islands, Hong Kong | 21.1 | |
| 195 | Kurashiki Okayama, Japan | 20.9 | |
| 196 | Cluj-Napoca Cluj County, Romania | 20.8 | |
| 196 | Bitola Bitola, North Macedonia | 20.8 | |
| 198 | Mexicali Baja California, Mexico | 20.7 | |
| 199 | Coeur d'Alene Idaho, United States | 20.6 | |
| 200 | Agartala Tripura, India | 20.3 |
Top 200 of 2,280 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