SmogRank / History / November 3, 2025
Most polluted cities on November 3, 2025
2,222 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Gujranwala low-cost sensors Punjab, Pakistan | 313.0 | |
| 2 | Narela Delhi, India | 266.0 | |
| 3 | Lahore low-cost sensors Punjab, Pakistan | 260.0 | |
| 4 | Multan low-cost sensors Punjab, Pakistan | 238.5 | |
| 5 | Hāpur Uttar Pradesh, India | 231.0 | |
| 6 | Srinagar Jammu and Kashmir, India | 225.5 | |
| 7 | Faisalabad low-cost sensors Punjab, Pakistan | 223.5 | |
| 8 | Jīnd Haryana, India | 212.0 | |
| 9 | Ghāziābād Uttar Pradesh, India | 207.0 | |
| 10 | Kaithal Haryana, India | 204.0 | |
| 11 | Muzaffarnagar Uttar Pradesh, India | 188.0 | |
| 12 | Sonīpat Haryana, India | 166.0 | |
| 13 | Meerut Uttar Pradesh, India | 164.0 | |
| 14 | Sialkot low-cost sensors Punjab, Pakistan | 159.5 | |
| 15 | Dādri Uttar Pradesh, India | 159.0 | |
| 16 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 158.0 | |
| 17 | Dushanbe Dushanbe, Tajikistan | 148.0 | |
| 18 | Noida Uttar Pradesh, India | 146.0 | |
| 19 | Stodůlky low-cost sensors Prague, Czechia | 143.4 | |
| 20 | Delhi Delhi, India | 137.0 | |
| 21 | Greater Noida Uttar Pradesh, India | 136.0 | |
| 22 | Baddi Himachal Pradesh, India | 133.0 | |
| 23 | Bahawalpur low-cost sensors Punjab, Pakistan | 128.5 | |
| 24 | Karnāl Haryana, India | 128.0 | |
| 25 | Thānesar Haryana, India | 121.0 | |
| 25 | Hājīpur Bihar, India | 121.0 | |
| 27 | Panchkula Haryana, India | 113.0 | |
| 28 | Gurugram Haryana, India | 110.0 | |
| 29 | Jalandhar Punjab, India | 107.0 | |
| 30 | Yamuna Nagar Haryana, India | 106.0 | |
| 31 | Rawalpindi low-cost sensors Punjab, Pakistan | 104.3 | |
| 32 | Patiāla Punjab, India | 101.0 | |
| 33 | Lárisa Thessaly, Greece | 97.1 | |
| 34 | Morādābād Uttar Pradesh, India | 96.3 | |
| 35 | Aya Nagar Delhi, India | 94.6 | |
| 36 | Faridabad Haryana, India | 88.6 | |
| 37 | Singrauli Madhya Pradesh, India | 87.8 | |
| 38 | Islamabad low-cost sensors Islamabad, Pakistan | 85.7 | |
| 39 | Cuddalore Tamil Nadu, India | 81.7 | |
| 40 | Bhiwadi Rajasthan, India | 80.0 | |
| 41 | Kanpur Uttar Pradesh, India | 79.7 | |
| 42 | Angul Odisha, India | 78.1 | |
| 43 | Jaipur Rajasthan, India | 75.6 | |
| 43 | Ambāla Haryana, India | 75.6 | |
| 45 | Tonk Rajasthan, India | 73.8 | |
| 45 | Dhaulpur Rajasthan, India | 73.8 | |
| 47 | Lucknow Uttar Pradesh, India | 73.5 | |
| 48 | Patna Bihar, India | 72.0 | |
| 49 | Bahadurgarh Haryana, India | 70.2 | |
| 50 | Kampala low-cost sensors Central Region, Uganda | 69.4 | |
| 51 | Mohali Punjab, India | 68.3 | |
| 52 | Chikmagalūr Karnataka, India | 67.5 | |
| 53 | Sīkar Rajasthan, India | 66.6 | |
| 54 | Karauli Rajasthan, India | 66.4 | |
| 55 | Gwalior Madhya Pradesh, India | 66.3 | |
| 56 | Arāria Bihar, India | 65.7 | |
| 57 | Jhālāwār Rajasthan, India | 63.1 | |
| 58 | Rishīkesh Uttarakhand, India | 63.0 | |
| 59 | Dhāruhera Haryana, India | 62.9 | |
| 60 | Bettiah Bihar, India | 62.8 | |
| 61 | Sawai Madhopur Rajasthan, India | 62.3 | |
| 62 | Nāgaur Rajasthan, India | 61.9 | |
| 63 | Gummidipundi Tamil Nadu, India | 60.9 | |
| 64 | Būndi Rajasthan, India | 57.4 | |
| 65 | Dausa Rajasthan, India | 56.6 | |
| 66 | Bijelo Polje Bijelo Polje, Montenegro | 56.2 | |
| 67 | Chittoor Andhra Pradesh, India | 55.8 | |
| 68 | Tetovo Tetovo, North Macedonia | 54.7 | |
| 69 | Gaya Bihar, India | 54.4 | |
| 70 | Kota Rajasthan, India | 53.9 | |
| 71 | Dubai low-cost sensors Dubai, United Arab Emirates | 53.5 | |
| 72 | Bārān Rajasthan, India | 52.9 | |
| 73 | Āsansol West Bengal, India | 51.6 | |
| 74 | Prayagraj Uttar Pradesh, India | 51.3 | |
| 75 | Chūru Rajasthan, India | 50.9 | |
| 76 | Istanbul low-cost sensors Istanbul, Turkey | 50.4 | |
| 77 | Kardítsa Thessaly, Greece | 49.4 | |
| 77 | Nandri Rajasthan, India | 49.4 | |
| 79 | Jhunjhunūn Rajasthan, India | 49.2 | |
| 80 | Kolkata West Bengal, India | 49.1 | |
| 81 | Karachi low-cost sensors Sindh, Pakistan | 48.7 | |
| 81 | Bhubaneswar Odisha, India | 48.7 | |
| 83 | Ajmer Rajasthan, India | 47.3 | |
| 84 | Blantyre low-cost sensors Southern Region, Malawi | 47.2 | |
| 85 | Hanumāngarh Rajasthan, India | 46.7 | |
| 86 | Jodhpur Rajasthan, India | 46.3 | |
| 87 | Tulare low-cost sensors California, United States | 45.6 | |
| 88 | Ropar Punjab, India | 44.6 | |
| 89 | Durgapur West Bengal, India | 44.5 | |
| 90 | Cuttack Odisha, India | 43.6 | |
| 91 | Baripāda Odisha, India | 43.1 | |
| 92 | Tríkala Thessaly, Greece | 42.9 | |
| 93 | Gostivar Gostivar, North Macedonia | 41.2 | |
| 94 | Rourkela Odisha, India | 40.6 | |
| 95 | Hacienda Santa Fe Jalisco, Mexico | 40.0 | |
| 96 | Pasadena low-cost sensors California, United States | 39.7 | |
| 97 | Rānīganj West Bengal, India | 39.5 | |
| 98 | Bikaner Rajasthan, India | 38.8 | |
| 99 | Bhilwara Rajasthan, India | 38.6 | |
| 100 | Bhelai Chhattisgarh, India | 38.4 | |
| 101 | Kavadarci Kavadarci, North Macedonia | 38.1 | |
| 102 | Haldia West Bengal, India | 38.0 | |
| 103 | Kumanovo Kumanovo, North Macedonia | 37.4 | |
| 103 | Saharsa Bihar, India | 37.4 | |
| 105 | Jalor Rajasthan, India | 36.7 | |
| 106 | Strumica Strumica, North Macedonia | 36.2 | |
| 107 | Sri Ganganagar Rajasthan, India | 35.9 | |
| 108 | Mangaluru Karnataka, India | 35.7 | |
| 109 | Changchun low-cost sensors Jilin, China | 34.8 | |
| 110 | Delano low-cost sensors California, United States | 34.7 | |
| 111 | San Salvador Tizatlalli México, Mexico | 34.4 | |
| 112 | Wan Chai Wan Chai, Hong Kong | 33.7 | |
| 113 | Byasanagar Odisha, India | 33.5 | |
| 114 | Saugor Madhya Pradesh, India | 33.4 | |
| 115 | Chennai Tamil Nadu, India | 33.3 | |
| 116 | Kathmandu low-cost sensors Bagmati Province, Nepal | 32.2 | |
| 117 | Skopje Grad Skopje, North Macedonia | 32.1 | |
| 118 | Rājsamand Rajasthan, India | 31.8 | |
| 119 | Bharatpur Rajasthan, India | 31.7 | |
| 120 | Nagpur Maharashtra, India | 31.6 | |
| 121 | Anantapur Andhra Pradesh, India | 31.5 | |
| 121 | Agra Uttar Pradesh, India | 31.5 | |
| 123 | Vapi Gujarat, India | 31.3 | |
| 123 | Joda Odisha, India | 31.3 | |
| 125 | Quetta low-cost sensors Balochistan, Pakistan | 31.0 | |
| 126 | Tirumala Andhra Pradesh, India | 30.7 | |
| 127 | Veles Veles, North Macedonia | 30.4 | |
| 128 | Moscow Idaho, United States | 30.3 | |
| 129 | Lagos low-cost sensors Lagos, Nigeria | 30.2 | |
| 129 | San Francisco Tlalcilalcalpan México, Mexico | 30.2 | |
| 129 | Guadalajara Jalisco, Mexico | 30.2 | |
| 129 | Hanford California, United States | 30.2 | |
| 133 | Bārmer Rajasthan, India | 30.0 | |
| 134 | Bengaluru Karnataka, India | 29.7 | |
| 135 | Tuen Mun Tuen Mun, Hong Kong | 29.5 | |
| 135 | Banja Luka Srpska, Bosnia and Herzegovina | 29.5 | |
| 137 | Ohrid Ohrid, North Macedonia | 29.4 | |
| 137 | Sāngli Maharashtra, India | 29.4 | |
| 137 | Pratāpgarh Rajasthan, India | 29.4 | |
| 140 | San Tung Chung Hang Islands, Hong Kong | 28.3 | |
| 141 | Volos Thessaly, Greece | 28.1 | |
| 141 | Kalyān Maharashtra, India | 28.1 | |
| 143 | Dimitrovgrad low-cost sensors Haskovo, Bulgaria | 28.0 | |
| 143 | Neelankarai Tamil Nadu, India | 28.0 | |
| 145 | Shrīrāmpur West Bengal, India | 27.8 | |
| 145 | Badlapur Maharashtra, India | 27.8 | |
| 147 | Riverside California, United States | 27.6 | |
| 148 | Jalgaon Maharashtra, India | 27.5 | |
| 149 | Mbarara low-cost sensors Western Region, Uganda | 27.4 | |
| 150 | Corcoran California, United States | 27.3 | |
| 151 | Kadapa Andhra Pradesh, India | 27.2 | |
| 152 | Nashik Maharashtra, India | 27.1 | |
| 153 | Fontana California, United States | 27.0 | |
| 154 | Bitola Bitola, North Macedonia | 26.7 | |
| 155 | Dej Cluj County, Romania | 26.6 | |
| 155 | Lilongwe low-cost sensors Central Region, Malawi | 26.6 | |
| 157 | Białystok Podlasie, Poland | 26.5 | |
| 157 | Jabalpur Madhya Pradesh, India | 26.5 | |
| 157 | Tlaquepaque Jalisco, Mexico | 26.5 | |
| 157 | Los Angeles California, United States | 26.5 | |
| 161 | Bānswāra Rajasthan, India | 26.3 | |
| 162 | Jurupa Valley California, United States | 26.0 | |
| 163 | Elbląg Warmia-Masuria, Poland | 25.9 | |
| 164 | Amravati Maharashtra, India | 25.8 | |
| 165 | Sirohi Rajasthan, India | 25.6 | |
| 166 | Aberdeen Southern District, Hong Kong | 25.5 | |
| 167 | Victoria Central and Western, Hong Kong | 25.4 | |
| 168 | Tin Shui Wai Yuen Long, Hong Kong | 25.3 | |
| 168 | Kwai Chung Kwai Tsing District, Hong Kong | 25.3 | |
| 170 | Kharghar Maharashtra, India | 25.2 | |
| 171 | Tai Po Tai Po, Hong Kong | 24.9 | |
| 172 | Chittorgarh Rajasthan, India | 24.8 | |
| 172 | Santa Anita Jalisco, Mexico | 24.8 | |
| 174 | Aurangabad Maharashtra, India | 24.6 | |
| 174 | Compton California, United States | 24.6 | |
| 176 | Sham Shui Po Sham Shui Po District, Hong Kong | 24.4 | |
| 177 | Hubballi Karnataka, India | 24.3 | |
| 178 | Raipur Chhattisgarh, India | 24.2 | |
| 179 | Perundurai Tamil Nadu, India | 24.1 | |
| 180 | Sau Mau Ping Kwun Tong District, Hong Kong | 24.0 | |
| 181 | Inglewood low-cost sensors California, United States | 23.9 | |
| 182 | Haskovo low-cost sensors Haskovo, Bulgaria | 23.8 | |
| 182 | Vereeniging low-cost sensors Gauteng, South Africa | 23.8 | |
| 184 | Pruszków Mazovia, Poland | 23.7 | |
| 184 | Mong Kok Yau Tsim Mong District, Hong Kong | 23.7 | |
| 186 | Tijuana Baja California, Mexico | 23.6 | |
| 187 | Visalia California, United States | 23.4 | |
| 188 | Madikeri Karnataka, India | 23.3 | |
| 188 | Ciudad Benito Juárez Nuevo León, Mexico | 23.3 | |
| 190 | Tsuen Wan Tsuen Wan, Hong Kong | 23.2 | |
| 191 | Gevgelija Gevgelija, North Macedonia | 23.1 | |
| 192 | Augustów Podlasie, Poland | 23.0 | |
| 193 | Ciudad Juárez Chihuahua, Mexico | 22.9 | |
| 194 | Santa Monica low-cost sensors California, United States | 22.7 | |
| 195 | Fanling North District, Hong Kong | 22.5 | |
| 195 | Hawthorne low-cost sensors California, United States | 22.5 | |
| 197 | Starachowice Świętokrzyskie, Poland | 22.4 | |
| 197 | Thāne Maharashtra, India | 22.4 | |
| 197 | Hyderabad Telangana, India | 22.4 | |
| 200 | Thessaloníki Central Macedonia, Greece | 22.2 |
Top 200 of 2,222 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