SmogRank / History / September 19, 2026
Most polluted cities on September 19, 2026
2,407 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Gurugram Haryana, India | 181.0 | |
| 2 | Blantyre low-cost sensors Southern Region, Malawi | 90.0 | |
| 3 | Gujranwala low-cost sensors Punjab, Pakistan | 89.2 | |
| 4 | Dera Māndi Delhi, India | 85.1 | |
| 5 | Zomba low-cost sensors Southern Region, Malawi | 84.6 | |
| 6 | Dādri Uttar Pradesh, India | 75.5 | |
| 7 | Singapore low-cost sensors Singapore | 74.9 | |
| 8 | Kuala Lumpur low-cost sensors Kuala Lumpur, Malaysia | 74.6 | |
| 9 | Multan low-cost sensors Punjab, Pakistan | 74.5 | |
| 10 | Noida Uttar Pradesh, India | 73.4 | |
| 11 | Bhiwadi Rajasthan, India | 72.9 | |
| 12 | Queenstown Estate low-cost sensors Singapore | 72.1 | |
| 13 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 71.9 | |
| 13 | Saltillo Coahuila, Mexico | 71.9 | |
| 15 | Jīnd Haryana, India | 71.3 | |
| 16 | Lahore low-cost sensors Punjab, Pakistan | 70.9 | |
| 17 | Yamuna Nagar Haryana, India | 69.4 | |
| 18 | Faisalabad low-cost sensors Punjab, Pakistan | 65.2 | |
| 19 | Delhi Delhi, India | 64.0 | |
| 20 | Narela Delhi, India | 63.9 | |
| 21 | Lilongwe low-cost sensors Central Region, Malawi | 61.9 | |
| 22 | Bhāgalpur Bihar, India | 60.4 | |
| 23 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 58.5 | |
| 24 | Hāpur Uttar Pradesh, India | 55.7 | |
| 25 | Bahadurgarh Haryana, India | 55.6 | |
| 26 | Dhāruhera Haryana, India | 54.4 | |
| 27 | Begusarai Bihar, India | 54.0 | |
| 28 | Dubai low-cost sensors Dubai, United Arab Emirates | 53.3 | |
| 28 | Hājīpur Bihar, India | 53.3 | |
| 30 | Sri Ganganagar Rajasthan, India | 52.8 | |
| 31 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 52.6 | |
| 32 | Muzaffarnagar Uttar Pradesh, India | 51.5 | |
| 33 | Kaithal Haryana, India | 51.3 | |
| 34 | Ankleshwar Gujarat, India | 51.2 | |
| 34 | Aya Nagar Delhi, India | 51.2 | |
| 36 | Ambāla Haryana, India | 49.8 | |
| 37 | Iloilo low-cost sensors Western Visayas, Philippines | 48.6 | |
| 38 | Patna Bihar, India | 48.3 | |
| 39 | Jalandhar Punjab, India | 48.2 | |
| 40 | Nalbāri Assam, India | 46.8 | |
| 41 | Bhiwāni Haryana, India | 46.7 | |
| 42 | Kolkata West Bengal, India | 46.6 | |
| 43 | Ghāziābād Uttar Pradesh, India | 46.3 | |
| 44 | Jammu low-cost sensors Jammu and Kashmir, India | 45.5 | |
| 45 | Sialkot low-cost sensors Punjab, Pakistan | 45.0 | |
| 46 | Undera Gujarat, India | 44.6 | |
| 47 | Bahawalpur low-cost sensors Punjab, Pakistan | 44.0 | |
| 48 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 43.7 | |
| 49 | Bāghpat Uttar Pradesh, India | 43.1 | |
| 50 | Tirupati Andhra Pradesh, India | 42.9 | |
| 51 | Kampala low-cost sensors Central Region, Uganda | 42.8 | |
| 52 | Dausa Rajasthan, India | 42.4 | |
| 53 | Sonīpat Haryana, India | 42.3 | |
| 54 | Kadapa Andhra Pradesh, India | 42.0 | |
| 55 | Thānesar Haryana, India | 41.7 | |
| 55 | Meerut Uttar Pradesh, India | 41.7 | |
| 57 | Morādābād Uttar Pradesh, India | 41.2 | |
| 58 | Baddi Himachal Pradesh, India | 40.9 | |
| 59 | Arāria Bihar, India | 40.6 | |
| 60 | Byasanagar Odisha, India | 40.5 | |
| 61 | Burunday low-cost sensors Almaty Region, Kazakhstan | 40.2 | |
| 62 | Rawalpindi low-cost sensors Punjab, Pakistan | 40.0 | |
| 63 | Cuttack Odisha, India | 39.9 | |
| 64 | Dushanbe Dushanbe, Tajikistan | 39.7 | |
| 65 | Chittoor Andhra Pradesh, India | 39.6 | |
| 66 | Rājgīr Bihar, India | 39.5 | |
| 66 | Hanumāngarh Rajasthan, India | 39.5 | |
| 68 | Faridabad Haryana, India | 39.4 | |
| 69 | Haldia West Bengal, India | 38.2 | |
| 70 | Joda Odisha, India | 37.7 | |
| 71 | Ahmedabad Gujarat, India | 37.6 | |
| 72 | Tabanan low-cost sensors Bali, Indonesia | 37.5 | |
| 73 | Kalyān Maharashtra, India | 37.2 | |
| 74 | Ubud low-cost sensors Bali, Indonesia | 37.0 | |
| 75 | Kanpur Uttar Pradesh, India | 36.7 | |
| 76 | Shrīrāmpur West Bengal, India | 36.6 | |
| 76 | Lucknow Uttar Pradesh, India | 36.6 | |
| 78 | Sīkar Rajasthan, India | 35.8 | |
| 79 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 35.5 | |
| 80 | Anantapur Andhra Pradesh, India | 35.0 | |
| 81 | Jaipur Rajasthan, India | 34.7 | |
| 82 | Angul Odisha, India | 34.5 | |
| 83 | Ibadan low-cost sensors Oyo State, Nigeria | 34.2 | |
| 84 | San Luis Potosí San Luis Potosí, Mexico | 34.0 | |
| 85 | Mangaluru Karnataka, India | 33.7 | |
| 86 | Gandhinagar Gujarat, India | 33.4 | |
| 87 | Butwāl low-cost sensors Lumbini Province, Nepal | 33.2 | |
| 88 | Harare low-cost sensors Harare, Zimbabwe | 33.0 | |
| 89 | Kathmandu low-cost sensors Bagmati Province, Nepal | 32.5 | |
| 90 | Vijayawada Andhra Pradesh, India | 32.1 | |
| 91 | Nagaon Assam, India | 32.0 | |
| 92 | Najafgarh Delhi, India | 31.8 | |
| 93 | Shivamogga Karnataka, India | 31.7 | |
| 94 | Dalung low-cost sensors Bali, Indonesia | 31.2 | |
| 95 | Alipur low-cost sensors Islamabad, Pakistan | 31.1 | |
| 96 | Gaya Bihar, India | 30.9 | |
| 97 | Islamabad low-cost sensors Islamabad, Pakistan | 30.7 | |
| 98 | Quetta low-cost sensors Balochistan, Pakistan | 30.5 | |
| 99 | Rānīganj West Bengal, India | 30.3 | |
| 99 | Agartala Tripura, India | 30.3 | |
| 101 | Rasapūdipalem Andhra Pradesh, India | 29.9 | |
| 102 | Surat Gujarat, India | 29.6 | |
| 103 | Karachi low-cost sensors Sindh, Pakistan | 29.5 | |
| 104 | Ajmer Rajasthan, India | 29.3 | |
| 105 | Tuxtla Chiapas, Mexico | 29.2 | |
| 106 | Karauli Rajasthan, India | 29.1 | |
| 107 | Jalgaon Maharashtra, India | 28.9 | |
| 107 | Baripāda Odisha, India | 28.9 | |
| 109 | Hyderabad low-cost sensors Sindh, Pakistan | 28.6 | |
| 109 | Kameoka Kyoto, Japan | 28.6 | |
| 111 | Siwān Bihar, India | 28.5 | |
| 112 | Durgapur West Bengal, India | 28.4 | |
| 113 | Nanded Maharashtra, India | 27.9 | |
| 114 | Izegem Flanders, Belgium | 27.7 | |
| 115 | Ashaiman low-cost sensors Greater Accra, Ghana | 27.1 | |
| 116 | Chānda Maharashtra, India | 27.0 | |
| 116 | Hacienda Santa Fe Jalisco, Mexico | 27.0 | |
| 118 | Karonga low-cost sensors Northern Region, Malawi | 26.9 | |
| 118 | Tonk Rajasthan, India | 26.9 | |
| 120 | Hyderabad Telangana, India | 26.8 | |
| 121 | Parbhani Maharashtra, India | 26.6 | |
| 121 | Saint-Louis low-cost sensors Saint-Louis, Senegal | 26.6 | |
| 123 | Āsansol West Bengal, India | 26.4 | |
| 124 | Lagos low-cost sensors Lagos, Nigeria | 26.1 | |
| 124 | Lima Lima Province, Peru | 26.1 | |
| 126 | Karnāl Haryana, India | 26.0 | |
| 127 | Bhilwara Rajasthan, India | 25.9 | |
| 128 | Wan Chai Wan Chai, Hong Kong | 25.6 | |
| 129 | Vereeniging low-cost sensors Gauteng, South Africa | 25.2 | |
| 129 | Phuntsholing low-cost sensors Chukha, Bhutan | 25.2 | |
| 131 | Vapi Gujarat, India | 24.2 | |
| 132 | Keonjhargarh Odisha, India | 24.0 | |
| 133 | Mzuzu low-cost sensors Northern Region, Malawi | 23.9 | |
| 134 | Rājsamand Rajasthan, India | 23.7 | |
| 135 | Istanbul low-cost sensors Istanbul, Turkey | 23.4 | |
| 136 | Bareilly Uttar Pradesh, India | 23.2 | |
| 137 | Agra Uttar Pradesh, India | 23.1 | |
| 138 | Naharlagun Arunachal Pradesh, India | 22.9 | |
| 139 | Quezon City low-cost sensors National Capital Region, Philippines | 22.3 | |
| 140 | Denpasar low-cost sensors Bali, Indonesia | 22.2 | |
| 141 | Hubballi Karnataka, India | 22.1 | |
| 142 | Silchar Assam, India | 21.9 | |
| 143 | Zhushan Taiwan, Taiwan | 21.8 | |
| 144 | Obrenovac Central Serbia, Serbia | 21.7 | |
| 145 | Thāne Maharashtra, India | 21.6 | |
| 146 | Tema low-cost sensors Greater Accra, Ghana | 21.4 | |
| 146 | Quthbullapur Telangana, India | 21.4 | |
| 148 | Almaty low-cost sensors Almaty, Kazakhstan | 21.3 | |
| 149 | Talghar low-cost sensors Almaty Region, Kazakhstan | 21.2 | |
| 150 | Târgu Mureş low-cost sensors Mureș County, Romania | 21.0 | |
| 150 | Jincheng Fukien, Taiwan | 21.0 | |
| 152 | Boisar Maharashtra, India | 20.8 | |
| 152 | Bhilai Chhattisgarh, India | 20.8 | |
| 152 | Yuanlin Taiwan, Taiwan | 20.8 | |
| 155 | Saugor Madhya Pradesh, India | 20.6 | |
| 155 | Barbil Odisha, India | 20.6 | |
| 157 | Raipur Chhattisgarh, India | 20.5 | |
| 157 | Chennai Tamil Nadu, India | 20.5 | |
| 159 | Nantou Taiwan, Taiwan | 20.4 | |
| 160 | Pratāpgarh Rajasthan, India | 20.3 | |
| 160 | Chittorgarh Rajasthan, India | 20.3 | |
| 160 | Ziguinchor low-cost sensors Ziguinchor, Senegal | 20.3 | |
| 163 | Sirsa Haryana, India | 20.2 | |
| 163 | Panvel Maharashtra, India | 20.2 | |
| 163 | Mahād Maharashtra, India | 20.2 | |
| 163 | Bikaner Rajasthan, India | 20.2 | |
| 163 | Bhubaneswar Odisha, India | 20.2 | |
| 168 | Sawai Madhopur Rajasthan, India | 20.0 | |
| 169 | Rourkela Odisha, India | 19.8 | |
| 169 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 19.8 | |
| 169 | Calexico California, United States | 19.8 | |
| 172 | Sholapur Maharashtra, India | 19.7 | |
| 173 | Dūngarpur Rajasthan, India | 19.6 | |
| 174 | Murree low-cost sensors Punjab, Pakistan | 19.5 | |
| 175 | Dhaulpur Rajasthan, India | 19.4 | |
| 176 | Chandigarh Chandigarh, India | 19.3 | |
| 177 | Nagpur Maharashtra, India | 19.2 | |
| 177 | Jhunjhunūn Rajasthan, India | 19.2 | |
| 177 | Douliu Taiwan, Taiwan | 19.2 | |
| 180 | Mong Kok Yau Tsim Mong District, Hong Kong | 19.0 | |
| 181 | Santa Anita - Los Ficus Lima region, Peru | 18.9 | |
| 182 | Būndi Rajasthan, India | 18.7 | |
| 182 | Erlin Taiwan, Taiwan | 18.7 | |
| 184 | Gwalior Madhya Pradesh, India | 18.6 | |
| 185 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 18.5 | |
| 185 | Patiāla Punjab, India | 18.5 | |
| 185 | Atlixco Puebla, Mexico | 18.5 | |
| 188 | Tainan Taiwan, Taiwan | 18.4 | |
| 188 | Chiayi City Taiwan, Taiwan | 18.4 | |
| 188 | Wadgaon Kolhati Maharashtra, India | 18.4 | |
| 191 | Accra low-cost sensors Greater Accra, Ghana | 18.3 | |
| 192 | Bhelai Chhattisgarh, India | 18.2 | |
| 192 | Bharatpur Rajasthan, India | 18.2 | |
| 194 | Kikinda Vojvodina, Serbia | 18.1 | |
| 194 | Gudalur Tamil Nadu, India | 18.1 | |
| 196 | Taibao Taiwan, Taiwan | 18.0 | |
| 196 | Pimpri-Chinchwad Maharashtra, India | 18.0 | |
| 198 | Jalor Rajasthan, India | 17.9 | |
| 199 | Pune Maharashtra, India | 17.8 | |
| 199 | Yongkang Taiwan, Taiwan | 17.8 |
Top 200 of 2,407 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