SmogRank / History / September 17, 2026
Most polluted cities on September 17, 2026
2,328 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Saint-Louis low-cost sensors Saint-Louis, Senegal | 231.9 | |
| 2 | Kuala Lumpur low-cost sensors Kuala Lumpur, Malaysia | 98.1 | |
| 3 | Harare low-cost sensors Harare, Zimbabwe | 94.5 | |
| 4 | Dera Māndi Delhi, India | 74.3 | |
| 5 | Yamuna Nagar Haryana, India | 61.9 | |
| 6 | Lilongwe low-cost sensors Central Region, Malawi | 61.8 | |
| 7 | Byasanagar Odisha, India | 59.2 | |
| 8 | Durgapur West Bengal, India | 57.2 | |
| 8 | Dādri Uttar Pradesh, India | 57.2 | |
| 10 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 56.0 | |
| 11 | Noida Uttar Pradesh, India | 54.2 | |
| 12 | Dubai low-cost sensors Dubai, United Arab Emirates | 53.7 | |
| 12 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 53.7 | |
| 14 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 53.5 | |
| 15 | Kampala low-cost sensors Central Region, Uganda | 52.1 | |
| 16 | Chāpra Bihar, India | 51.8 | |
| 17 | Chittoor Andhra Pradesh, India | 51.3 | |
| 18 | Queenstown Estate low-cost sensors Singapore | 51.0 | |
| 19 | Joda Odisha, India | 50.8 | |
| 20 | Greater Noida Uttar Pradesh, India | 50.7 | |
| 21 | Barbil Odisha, India | 49.8 | |
| 22 | Hāpur Uttar Pradesh, India | 47.1 | |
| 23 | Morādābād Uttar Pradesh, India | 46.0 | |
| 24 | Bahadurgarh Haryana, India | 45.9 | |
| 25 | Bhiwadi Rajasthan, India | 43.8 | |
| 26 | Raipur Chhattisgarh, India | 43.7 | |
| 27 | Amaravati Andhra Pradesh, India | 43.4 | |
| 28 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 43.3 | |
| 29 | Dhāruhera Haryana, India | 42.7 | |
| 30 | Ghāziābād Uttar Pradesh, India | 42.6 | |
| 31 | Vereeniging low-cost sensors Gauteng, South Africa | 42.5 | |
| 31 | Delhi Delhi, India | 42.5 | |
| 33 | Kaithal Haryana, India | 41.2 | |
| 34 | Sonīpat Haryana, India | 40.6 | |
| 35 | Aya Nagar Delhi, India | 40.3 | |
| 36 | Nagaon Assam, India | 39.9 | |
| 37 | Singapore low-cost sensors Singapore | 39.6 | |
| 38 | Multan low-cost sensors Punjab, Pakistan | 39.4 | |
| 38 | Muzaffarnagar Uttar Pradesh, India | 39.4 | |
| 40 | Kadapa Andhra Pradesh, India | 39.3 | |
| 41 | Butwāl low-cost sensors Lumbini Province, Nepal | 39.0 | |
| 42 | Ambāla Haryana, India | 38.8 | |
| 43 | Blantyre low-cost sensors Southern Region, Malawi | 38.7 | |
| 44 | Vijayawada Andhra Pradesh, India | 37.6 | |
| 45 | Ankleshwar Gujarat, India | 37.5 | |
| 46 | Hyderabad low-cost sensors Sindh, Pakistan | 37.3 | |
| 47 | Lucknow Uttar Pradesh, India | 36.5 | |
| 48 | Narela Delhi, India | 36.2 | |
| 49 | Nanded Maharashtra, India | 36.1 | |
| 50 | Zomba low-cost sensors Southern Region, Malawi | 35.5 | |
| 51 | Baripāda Odisha, India | 35.2 | |
| 52 | Thānesar Haryana, India | 34.8 | |
| 52 | Rasapūdipalem Andhra Pradesh, India | 34.8 | |
| 54 | Gujranwala low-cost sensors Punjab, Pakistan | 34.1 | |
| 54 | Kalyān Maharashtra, India | 34.1 | |
| 56 | San Luis Potosí San Luis Potosí, Mexico | 34.0 | |
| 57 | Jalandhar Punjab, India | 33.6 | |
| 58 | Jhālāwār Rajasthan, India | 33.2 | |
| 58 | Faridabad Haryana, India | 33.2 | |
| 58 | Bhilwara Rajasthan, India | 33.2 | |
| 58 | Bhilai Chhattisgarh, India | 33.2 | |
| 62 | Quezon City low-cost sensors National Capital Region, Philippines | 32.8 | |
| 63 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 32.5 | |
| 64 | Dushanbe Dushanbe, Tajikistan | 32.4 | |
| 64 | Undera Gujarat, India | 32.4 | |
| 66 | Nagpur Maharashtra, India | 32.2 | |
| 67 | Haldia West Bengal, India | 32.1 | |
| 68 | Parbhani Maharashtra, India | 31.8 | |
| 69 | Karachi low-cost sensors Sindh, Pakistan | 31.5 | |
| 69 | Faisalabad low-cost sensors Punjab, Pakistan | 31.5 | |
| 69 | Anantapur Andhra Pradesh, India | 31.5 | |
| 72 | Gurugram Haryana, India | 31.4 | |
| 73 | Shrīrāmpur West Bengal, India | 30.8 | |
| 74 | Malegaon Maharashtra, India | 30.3 | |
| 74 | Ubud low-cost sensors Bali, Indonesia | 30.3 | |
| 76 | Tabanan low-cost sensors Bali, Indonesia | 29.9 | |
| 77 | Sīkar Rajasthan, India | 29.8 | |
| 78 | Bhiwāni Haryana, India | 29.7 | |
| 78 | Tuxtla Chiapas, Mexico | 29.7 | |
| 80 | Kolkata West Bengal, India | 29.6 | |
| 81 | Arāria Bihar, India | 29.3 | |
| 82 | Lahore low-cost sensors Punjab, Pakistan | 29.1 | |
| 82 | Jammu low-cost sensors Jammu and Kashmir, India | 29.1 | |
| 84 | Kathmandu low-cost sensors Bagmati Province, Nepal | 28.9 | |
| 85 | Hyderabad Telangana, India | 28.8 | |
| 85 | Chittorgarh Rajasthan, India | 28.8 | |
| 87 | Dūngarpur Rajasthan, India | 28.7 | |
| 87 | Arrah Bihar, India | 28.7 | |
| 89 | Pratāpgarh Rajasthan, India | 28.5 | |
| 90 | Rairangpur Odisha, India | 28.3 | |
| 91 | Chānda Maharashtra, India | 28.0 | |
| 92 | Rānīganj West Bengal, India | 27.9 | |
| 92 | Keonjhargarh Odisha, India | 27.9 | |
| 92 | Hājīpur Bihar, India | 27.9 | |
| 95 | Hacienda Santa Fe Jalisco, Mexico | 27.8 | |
| 96 | Bahawalpur low-cost sensors Punjab, Pakistan | 27.4 | |
| 96 | Najafgarh Delhi, India | 27.4 | |
| 98 | Begusarai Bihar, India | 27.3 | |
| 99 | Mzuzu low-cost sensors Northern Region, Malawi | 27.0 | |
| 99 | Thiès low-cost sensors Thies, Senegal | 27.0 | |
| 101 | Angul Odisha, India | 26.7 | |
| 102 | Jalgaon Maharashtra, India | 26.6 | |
| 103 | Agartala Tripura, India | 26.5 | |
| 104 | Phuntsholing low-cost sensors Chukha, Bhutan | 26.2 | |
| 105 | Būndi Rajasthan, India | 25.9 | |
| 106 | Ahmedabad Gujarat, India | 25.5 | |
| 107 | Quetta low-cost sensors Balochistan, Pakistan | 25.3 | |
| 107 | Panchkula Haryana, India | 25.3 | |
| 109 | Aurangabad Maharashtra, India | 25.2 | |
| 110 | Wan Chai Wan Chai, Hong Kong | 24.7 | |
| 110 | Huelva Andalusia, Spain | 24.7 | |
| 112 | Karonga low-cost sensors Northern Region, Malawi | 24.6 | |
| 113 | Cuttack Odisha, India | 24.5 | |
| 114 | Bāghpat Uttar Pradesh, India | 24.4 | |
| 115 | Srinagar Jammu and Kashmir, India | 24.2 | |
| 116 | Addis Ababa Addis Ababa, Ethiopia | 24.0 | |
| 116 | Karagandy low-cost sensors Karaganda, Kazakhstan | 24.0 | |
| 116 | Santa Anita Jalisco, Mexico | 24.0 | |
| 119 | Nalbāri Assam, India | 23.9 | |
| 119 | Dausa Rajasthan, India | 23.9 | |
| 121 | Chennai Tamil Nadu, India | 23.8 | |
| 121 | Asunción low-cost sensors Asuncion, Paraguay | 23.8 | |
| 123 | Kanpur Uttar Pradesh, India | 23.5 | |
| 123 | Durg Chhattisgarh, India | 23.5 | |
| 125 | Sirohi Rajasthan, India | 23.4 | |
| 125 | Izegem Flanders, Belgium | 23.4 | |
| 127 | Āsansol West Bengal, India | 23.1 | |
| 128 | Istanbul low-cost sensors Istanbul, Turkey | 22.9 | |
| 128 | Rourkela Odisha, India | 22.9 | |
| 130 | Karnāl Haryana, India | 22.8 | |
| 130 | Gandhinagar Gujarat, India | 22.8 | |
| 130 | Ibadan low-cost sensors Oyo State, Nigeria | 22.8 | |
| 130 | Abuja low-cost sensors FCT, Nigeria | 22.8 | |
| 130 | Nikšić Opština Nikšić, Montenegro | 22.8 | |
| 135 | Tirumala Andhra Pradesh, India | 22.7 | |
| 135 | Jaipur Rajasthan, India | 22.7 | |
| 135 | Bhelai Chhattisgarh, India | 22.7 | |
| 138 | Dalung low-cost sensors Bali, Indonesia | 22.5 | |
| 139 | Sri Ganganagar Rajasthan, India | 22.1 | |
| 140 | Bareilly Uttar Pradesh, India | 21.7 | |
| 141 | Hubballi Karnataka, India | 21.6 | |
| 141 | Burunday low-cost sensors Almaty Region, Kazakhstan | 21.6 | |
| 143 | Akola Maharashtra, India | 21.5 | |
| 144 | Patna Bihar, India | 21.4 | |
| 145 | Jaisalmer Rajasthan, India | 21.2 | |
| 146 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 20.9 | |
| 146 | Guadalajara Jalisco, Mexico | 20.9 | |
| 148 | Smederevo Central Serbia, Serbia | 20.6 | |
| 148 | Shivamogga Karnataka, India | 20.6 | |
| 150 | Gudalur Tamil Nadu, India | 20.5 | |
| 150 | Honmachi Kumamoto, Japan | 20.5 | |
| 152 | Thāne Maharashtra, India | 20.4 | |
| 152 | Silchar Assam, India | 20.4 | |
| 154 | Quthbullapur Telangana, India | 20.3 | |
| 155 | Sialkot low-cost sensors Punjab, Pakistan | 20.2 | |
| 155 | Kota Rajasthan, India | 20.2 | |
| 155 | Kharghar Maharashtra, India | 20.2 | |
| 158 | Aguascalientes Aguascalientes, Mexico | 20.0 | |
| 159 | Saltillo Coahuila, Mexico | 19.9 | |
| 160 | Calexico California, United States | 19.8 | |
| 161 | Mahād Maharashtra, India | 19.7 | |
| 162 | Mong Kok Yau Tsim Mong District, Hong Kong | 19.6 | |
| 162 | Lagos low-cost sensors Lagos, Nigeria | 19.6 | |
| 164 | Rājsamand Rajasthan, India | 19.5 | |
| 165 | Rājgīr Bihar, India | 19.4 | |
| 165 | Gaya Bihar, India | 19.4 | |
| 167 | Bhayandar Maharashtra, India | 19.3 | |
| 167 | Ajmer Rajasthan, India | 19.3 | |
| 167 | Tin Shui Wai Yuen Long, Hong Kong | 19.3 | |
| 167 | Parque Industrial Ciudad Mitras Nuevo León, Mexico | 19.3 | |
| 171 | Wadgaon Kolhati Maharashtra, India | 19.1 | |
| 172 | Beirut low-cost sensors Beirut, Lebanon | 18.9 | |
| 172 | Rawalpindi low-cost sensors Punjab, Pakistan | 18.9 | |
| 174 | Sirsa Haryana, India | 18.6 | |
| 175 | Dhaulpur Rajasthan, India | 18.3 | |
| 176 | Dhule Maharashtra, India | 18.2 | |
| 177 | Tlaquepaque Jalisco, Mexico | 18.1 | |
| 178 | Hondomachi-hondo Kumamoto, Japan | 18.0 | |
| 179 | Ashaiman low-cost sensors Greater Accra, Ghana | 17.8 | |
| 179 | Mérida Yucatán, Mexico | 17.8 | |
| 179 | Singrauli Madhya Pradesh, India | 17.8 | |
| 182 | Pune Maharashtra, India | 17.7 | |
| 182 | Badlapur Maharashtra, India | 17.7 | |
| 182 | Tainan Taiwan, Taiwan | 17.7 | |
| 182 | Zhushan Taiwan, Taiwan | 17.7 | |
| 186 | Granite City Illinois, United States | 17.6 | |
| 187 | Fengshan Takao, Taiwan | 17.5 | |
| 187 | Marigot Saint Martin | 17.5 | |
| 189 | San Tung Chung Hang Islands, Hong Kong | 17.4 | |
| 189 | Kwai Chung Kwai Tsing District, Hong Kong | 17.4 | |
| 191 | Kaohsiung Takao, Taiwan | 17.2 | |
| 191 | Changchun low-cost sensors Jilin, China | 17.2 | |
| 191 | Portsmouth Ohio, United States | 17.2 | |
| 194 | Tonk Rajasthan, India | 17.0 | |
| 194 | Chandigarh Chandigarh, India | 17.0 | |
| 194 | Douliu Taiwan, Taiwan | 17.0 | |
| 194 | Jincheng Fukien, Taiwan | 17.0 | |
| 198 | Obrenovac Central Serbia, Serbia | 16.9 | |
| 198 | Tai Po Tai Po, Hong Kong | 16.9 | |
| 198 | Sham Shui Po Sham Shui Po District, Hong Kong | 16.9 |
Top 200 of 2,328 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