SmogRank / History / September 20, 2026
Most polluted cities on September 20, 2026
2,147 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Gurugram Haryana, India | 212.0 | |
| 2 | Dera Māndi Delhi, India | 147.0 | |
| 3 | Dādri Uttar Pradesh, India | 107.0 | |
| 4 | Noida Uttar Pradesh, India | 100.2 | |
| 5 | Gujranwala low-cost sensors Punjab, Pakistan | 87.6 | |
| 6 | Delhi Delhi, India | 83.1 | |
| 7 | Aya Nagar Delhi, India | 82.2 | |
| 8 | Jīnd Haryana, India | 81.1 | |
| 9 | Greater Noida Uttar Pradesh, India | 81.0 | |
| 10 | Multan low-cost sensors Punjab, Pakistan | 80.8 | |
| 11 | Bahadurgarh Haryana, India | 79.3 | |
| 12 | Kuala Lumpur low-cost sensors Kuala Lumpur, Malaysia | 79.1 | |
| 13 | Yamuna Nagar Haryana, India | 78.6 | |
| 14 | Narela Delhi, India | 73.6 | |
| 15 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 73.4 | |
| 16 | Ghāziābād Uttar Pradesh, India | 73.0 | |
| 17 | Bhiwadi Rajasthan, India | 72.8 | |
| 18 | Hāpur Uttar Pradesh, India | 72.5 | |
| 19 | Bhāgalpur Bihar, India | 69.7 | |
| 20 | Faisalabad low-cost sensors Punjab, Pakistan | 69.6 | |
| 21 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 66.4 | |
| 22 | Kaithal Haryana, India | 66.3 | |
| 23 | Zomba low-cost sensors Southern Region, Malawi | 64.2 | |
| 24 | Lilongwe low-cost sensors Central Region, Malawi | 64.1 | |
| 25 | Rājgīr Bihar, India | 63.4 | |
| 26 | Ankleshwar Gujarat, India | 63.1 | |
| 27 | Muzaffarnagar Uttar Pradesh, India | 62.8 | |
| 28 | Blantyre low-cost sensors Southern Region, Malawi | 61.0 | |
| 29 | Najafgarh Delhi, India | 60.4 | |
| 30 | Surat Gujarat, India | 59.2 | |
| 31 | Kalyān Maharashtra, India | 56.9 | |
| 32 | Sīkar Rajasthan, India | 56.6 | |
| 33 | Dausa Rajasthan, India | 56.0 | |
| 34 | Sialkot low-cost sensors Punjab, Pakistan | 55.5 | |
| 35 | Bhiwāni Haryana, India | 55.2 | |
| 36 | Lahore low-cost sensors Punjab, Pakistan | 54.9 | |
| 36 | Jalandhar Punjab, India | 54.9 | |
| 38 | Kampala low-cost sensors Central Region, Uganda | 53.9 | |
| 38 | Sri Ganganagar Rajasthan, India | 53.9 | |
| 40 | Thānesar Haryana, India | 53.2 | |
| 40 | Ambāla Haryana, India | 53.2 | |
| 42 | Bahawalpur low-cost sensors Punjab, Pakistan | 52.6 | |
| 43 | Jammu low-cost sensors Jammu and Kashmir, India | 52.4 | |
| 44 | Saharsa Bihar, India | 50.9 | |
| 45 | Sonīpat Haryana, India | 49.5 | |
| 46 | Nalbāri Assam, India | 49.2 | |
| 47 | Hājīpur Bihar, India | 48.5 | |
| 48 | Hanumāngarh Rajasthan, India | 47.8 | |
| 49 | Iloilo low-cost sensors Western Visayas, Philippines | 47.2 | |
| 49 | Queenstown Estate low-cost sensors Singapore | 47.2 | |
| 51 | Meerut Uttar Pradesh, India | 46.3 | |
| 52 | Dubai low-cost sensors Dubai, United Arab Emirates | 46.2 | |
| 53 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 44.5 | |
| 53 | Bāghpat Uttar Pradesh, India | 44.5 | |
| 55 | Mangaluru Karnataka, India | 44.4 | |
| 56 | Morādābād Uttar Pradesh, India | 44.0 | |
| 57 | Jhunjhunūn Rajasthan, India | 43.5 | |
| 58 | Ubud low-cost sensors Bali, Indonesia | 43.3 | |
| 59 | Tabanan low-cost sensors Bali, Indonesia | 42.9 | |
| 60 | Singapore low-cost sensors Singapore | 42.5 | |
| 61 | Rawalpindi low-cost sensors Punjab, Pakistan | 41.7 | |
| 62 | Ahmedabad Gujarat, India | 41.6 | |
| 63 | Patna Bihar, India | 41.2 | |
| 63 | Jalgaon Maharashtra, India | 41.2 | |
| 65 | Dushanbe Dushanbe, Tajikistan | 41.1 | |
| 66 | Faridabad Haryana, India | 40.6 | |
| 67 | Tirupati Andhra Pradesh, India | 39.7 | |
| 68 | Jaipur Rajasthan, India | 39.5 | |
| 69 | Kadapa Andhra Pradesh, India | 39.4 | |
| 70 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 39.2 | |
| 71 | Chittoor Andhra Pradesh, India | 38.9 | |
| 72 | Begusarai Bihar, India | 38.2 | |
| 73 | Karauli Rajasthan, India | 38.0 | |
| 73 | Arāria Bihar, India | 38.0 | |
| 75 | Islamabad low-cost sensors Islamabad, Pakistan | 37.2 | |
| 76 | Panvel Maharashtra, India | 37.0 | |
| 77 | Baddi Himachal Pradesh, India | 36.6 | |
| 78 | Mzuzu low-cost sensors Northern Region, Malawi | 36.5 | |
| 79 | Murree low-cost sensors Punjab, Pakistan | 35.6 | |
| 80 | Chūru Rajasthan, India | 35.5 | |
| 81 | Gaya Bihar, India | 35.4 | |
| 82 | Harare low-cost sensors Harare, Zimbabwe | 35.3 | |
| 82 | Gandhinagar Gujarat, India | 35.3 | |
| 84 | Raipur Chhattisgarh, India | 34.2 | |
| 85 | Butwāl low-cost sensors Lumbini Province, Nepal | 34.1 | |
| 85 | San Luis Potosí San Luis Potosí, Mexico | 34.1 | |
| 87 | Quetta low-cost sensors Balochistan, Pakistan | 33.9 | |
| 87 | Kanpur Uttar Pradesh, India | 33.9 | |
| 89 | Ajmer Rajasthan, India | 33.7 | |
| 89 | Serilingampalle Telangana, India | 33.7 | |
| 91 | Karachi low-cost sensors Sindh, Pakistan | 33.2 | |
| 92 | Bikaner Rajasthan, India | 33.1 | |
| 93 | Byasanagar Odisha, India | 33.0 | |
| 94 | Bhilai Chhattisgarh, India | 32.4 | |
| 95 | Tonk Rajasthan, India | 32.1 | |
| 96 | Parbhani Maharashtra, India | 31.8 | |
| 97 | Burunday low-cost sensors Almaty Region, Kazakhstan | 31.6 | |
| 98 | Nashik Maharashtra, India | 31.5 | |
| 99 | Dalung low-cost sensors Bali, Indonesia | 31.0 | |
| 100 | Nanded Maharashtra, India | 30.9 | |
| 100 | Keonjhargarh Odisha, India | 30.9 | |
| 102 | Ibadan low-cost sensors Oyo State, Nigeria | 30.7 | |
| 103 | Angul Odisha, India | 30.6 | |
| 104 | Vijayawada Andhra Pradesh, India | 30.2 | |
| 104 | Kathmandu low-cost sensors Bagmati Province, Nepal | 30.2 | |
| 106 | Mahād Maharashtra, India | 30.0 | |
| 107 | Chittorgarh Rajasthan, India | 29.9 | |
| 108 | Karonga low-cost sensors Northern Region, Malawi | 29.5 | |
| 108 | Āsansol West Bengal, India | 29.5 | |
| 110 | Jodhpur Rajasthan, India | 29.2 | |
| 111 | Būndi Rajasthan, India | 29.0 | |
| 112 | Shivamogga Karnataka, India | 28.5 | |
| 112 | Bhilwara Rajasthan, India | 28.5 | |
| 114 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 28.2 | |
| 115 | Calexico California, United States | 27.9 | |
| 116 | Vapi Gujarat, India | 27.8 | |
| 117 | Vereeniging low-cost sensors Gauteng, South Africa | 27.7 | |
| 118 | Nagpur Maharashtra, India | 27.6 | |
| 118 | Kota Rajasthan, India | 27.6 | |
| 118 | Dūngarpur Rajasthan, India | 27.6 | |
| 121 | Sasarām Bihar, India | 27.1 | |
| 122 | Durgapur West Bengal, India | 27.0 | |
| 123 | Denpasar low-cost sensors Bali, Indonesia | 26.8 | |
| 124 | Boisar Maharashtra, India | 26.7 | |
| 125 | Pune Maharashtra, India | 26.6 | |
| 126 | Pratāpgarh Rajasthan, India | 26.2 | |
| 127 | Bhayandar Maharashtra, India | 26.1 | |
| 128 | Karnāl Haryana, India | 25.8 | |
| 128 | Jalor Rajasthan, India | 25.8 | |
| 130 | Aurangabad Maharashtra, India | 25.6 | |
| 131 | Rānīganj West Bengal, India | 25.4 | |
| 132 | Lucknow Uttar Pradesh, India | 25.3 | |
| 132 | Gwalior Madhya Pradesh, India | 25.3 | |
| 134 | Siwān Bihar, India | 25.0 | |
| 135 | Saugor Madhya Pradesh, India | 24.9 | |
| 136 | Hyderabad low-cost sensors Sindh, Pakistan | 24.8 | |
| 136 | Nāgaur Rajasthan, India | 24.8 | |
| 138 | Patiāla Punjab, India | 24.6 | |
| 139 | Cuttack Odisha, India | 24.5 | |
| 140 | Hyderabad Telangana, India | 24.4 | |
| 140 | Pimpri-Chinchwad Maharashtra, India | 24.4 | |
| 142 | Istanbul low-cost sensors Istanbul, Turkey | 24.1 | |
| 143 | Ashaiman low-cost sensors Greater Accra, Ghana | 24.0 | |
| 144 | Atlixco Puebla, Mexico | 23.9 | |
| 145 | Rājsamand Rajasthan, India | 23.7 | |
| 145 | Hacienda Santa Fe Jalisco, Mexico | 23.7 | |
| 147 | Sirsa Haryana, India | 23.4 | |
| 148 | Mumbai Maharashtra, India | 23.3 | |
| 149 | Lagos low-cost sensors Lagos, Nigeria | 23.2 | |
| 150 | Ahilyanagar Maharashtra, India | 22.9 | |
| 151 | Rairangpur Odisha, India | 22.8 | |
| 152 | Hubballi Karnataka, India | 22.7 | |
| 152 | Bareilly Uttar Pradesh, India | 22.7 | |
| 154 | Chānda Maharashtra, India | 22.6 | |
| 155 | Wan Chai Wan Chai, Hong Kong | 22.4 | |
| 155 | Mexicali Baja California, Mexico | 22.4 | |
| 157 | Rourkela Odisha, India | 22.2 | |
| 158 | Thāne Maharashtra, India | 22.1 | |
| 159 | Erlin Taiwan, Taiwan | 22.0 | |
| 160 | Puebla Puebla, Mexico | 21.7 | |
| 161 | Douliu Taiwan, Taiwan | 21.5 | |
| 162 | Chandigarh Chandigarh, India | 21.3 | |
| 163 | Wadgaon Kolhati Maharashtra, India | 21.2 | |
| 164 | Jincheng Fukien, Taiwan | 21.0 | |
| 165 | Badlapur Maharashtra, India | 20.9 | |
| 165 | Naharlagun Arunachal Pradesh, India | 20.9 | |
| 167 | Changchun low-cost sensors Jilin, China | 20.5 | |
| 168 | Kolkata West Bengal, India | 20.3 | |
| 168 | Yuanlin Taiwan, Taiwan | 20.3 | |
| 168 | Erlun Taiwan, Taiwan | 20.3 | |
| 168 | Zhushan Taiwan, Taiwan | 20.3 | |
| 168 | Quthbullapur Telangana, India | 20.3 | |
| 173 | Amaravati Andhra Pradesh, India | 19.9 | |
| 174 | Beigang Taiwan, Taiwan | 19.8 | |
| 174 | Quezon City low-cost sensors National Capital Region, Philippines | 19.8 | |
| 176 | Srinagar Jammu and Kashmir, India | 19.6 | |
| 176 | Ropar Punjab, India | 19.6 | |
| 176 | Taibao Taiwan, Taiwan | 19.6 | |
| 176 | Chiayi City Taiwan, Taiwan | 19.6 | |
| 180 | Sawai Madhopur Rajasthan, India | 19.3 | |
| 180 | Rasapūdipalem Andhra Pradesh, India | 19.3 | |
| 182 | Shrīrāmpur West Bengal, India | 19.2 | |
| 182 | Agra Uttar Pradesh, India | 19.2 | |
| 182 | Tema low-cost sensors Greater Accra, Ghana | 19.2 | |
| 185 | Tin Shui Wai Yuen Long, Hong Kong | 19.1 | |
| 186 | Phuntsholing low-cost sensors Chukha, Bhutan | 18.7 | |
| 186 | Talghar low-cost sensors Almaty Region, Kazakhstan | 18.7 | |
| 186 | Aguascalientes Aguascalientes, Mexico | 18.7 | |
| 189 | Akola Maharashtra, India | 18.5 | |
| 190 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 18.4 | |
| 190 | Nantou Taiwan, Taiwan | 18.4 | |
| 190 | Asunción low-cost sensors Asuncion, Paraguay | 18.4 | |
| 193 | Sāngli Maharashtra, India | 18.3 | |
| 194 | Taichung Taiwan, Taiwan | 18.2 | |
| 195 | Sirohi Rajasthan, India | 18.1 | |
| 195 | Silchar Assam, India | 18.1 | |
| 195 | Jaisalmer Rajasthan, India | 18.1 | |
| 195 | Dhaulpur Rajasthan, India | 18.1 | |
| 195 | Chikmagalūr Karnataka, India | 18.1 | |
| 200 | Gudalur Tamil Nadu, India | 18.0 |
Top 200 of 2,147 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