SmogRank / History / September 25, 2026
Most polluted cities on September 25, 2026
2,383 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Dera Māndi Delhi, India | 158.0 | |
| 2 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 114.0 | |
| 3 | Lahore low-cost sensors Punjab, Pakistan | 100.0 | |
| 4 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 98.4 | |
| 5 | Kampala low-cost sensors Central Region, Uganda | 87.4 | |
| 6 | Gujranwala low-cost sensors Punjab, Pakistan | 83.0 | |
| 7 | Bahawalpur low-cost sensors Punjab, Pakistan | 80.3 | |
| 8 | Jammu low-cost sensors Jammu and Kashmir, India | 76.7 | |
| 9 | Multan low-cost sensors Punjab, Pakistan | 73.5 | |
| 10 | Dubai low-cost sensors Dubai, United Arab Emirates | 72.3 | |
| 11 | Sri Ganganagar Rajasthan, India | 67.4 | |
| 12 | Gummidipundi Tamil Nadu, India | 66.9 | |
| 13 | Sialkot low-cost sensors Punjab, Pakistan | 64.3 | |
| 14 | Zomba low-cost sensors Southern Region, Malawi | 62.9 | |
| 15 | Lilongwe low-cost sensors Central Region, Malawi | 62.1 | |
| 16 | Faisalabad low-cost sensors Punjab, Pakistan | 61.8 | |
| 17 | Gurugram Haryana, India | 61.5 | |
| 18 | Jīnd Haryana, India | 61.1 | |
| 19 | Kalyān Maharashtra, India | 57.5 | |
| 20 | Karonga low-cost sensors Northern Region, Malawi | 54.5 | |
| 21 | Kaithal Haryana, India | 53.4 | |
| 22 | Chāpra Bihar, India | 53.2 | |
| 23 | Parbhani Maharashtra, India | 52.0 | |
| 24 | Yamuna Nagar Haryana, India | 51.5 | |
| 25 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 51.4 | |
| 26 | Tabanan low-cost sensors Bali, Indonesia | 50.8 | |
| 27 | Mzuzu low-cost sensors Northern Region, Malawi | 48.0 | |
| 28 | Nanded Maharashtra, India | 47.8 | |
| 29 | Ubud low-cost sensors Bali, Indonesia | 47.7 | |
| 30 | Hanumāngarh Rajasthan, India | 47.1 | |
| 31 | Bikaner Rajasthan, India | 46.9 | |
| 32 | Baddi Himachal Pradesh, India | 45.1 | |
| 33 | Arāria Bihar, India | 45.0 | |
| 34 | Ambāla Haryana, India | 44.3 | |
| 35 | Vereeniging low-cost sensors Gauteng, South Africa | 43.3 | |
| 36 | Blantyre low-cost sensors Southern Region, Malawi | 43.2 | |
| 37 | Dalung low-cost sensors Bali, Indonesia | 42.9 | |
| 38 | Chittoor Andhra Pradesh, India | 42.1 | |
| 39 | Bhilwara Rajasthan, India | 42.0 | |
| 40 | Aurangabad Maharashtra, India | 41.8 | |
| 41 | Nalbāri Assam, India | 41.4 | |
| 42 | Karnāl Haryana, India | 40.7 | |
| 42 | Undera Gujarat, India | 40.7 | |
| 44 | Queenstown Estate low-cost sensors Singapore | 40.5 | |
| 45 | Gandhinagar Gujarat, India | 40.2 | |
| 46 | Ahmedabad Gujarat, India | 40.0 | |
| 47 | Singapore low-cost sensors Singapore | 39.5 | |
| 48 | Sholapur Maharashtra, India | 38.0 | |
| 49 | Jalgaon Maharashtra, India | 37.7 | |
| 49 | Anantapur Andhra Pradesh, India | 37.7 | |
| 51 | Nagaon Assam, India | 37.5 | |
| 52 | Dushanbe Dushanbe, Tajikistan | 37.2 | |
| 53 | Jalandhar Punjab, India | 36.8 | |
| 53 | Kuala Lumpur low-cost sensors Kuala Lumpur, Malaysia | 36.8 | |
| 55 | Thānesar Haryana, India | 36.7 | |
| 56 | Serilingampalle Telangana, India | 36.6 | |
| 57 | Rasapūdipalem Andhra Pradesh, India | 36.5 | |
| 58 | Chittorgarh Rajasthan, India | 35.9 | |
| 59 | Kadapa Andhra Pradesh, India | 35.3 | |
| 60 | Dhāruhera Haryana, India | 35.0 | |
| 61 | Tirupati Andhra Pradesh, India | 34.8 | |
| 62 | San Luis Potosí San Luis Potosí, Mexico | 34.0 | |
| 63 | Iloilo low-cost sensors Western Visayas, Philippines | 33.8 | |
| 64 | Rawalpindi low-cost sensors Punjab, Pakistan | 33.5 | |
| 65 | Pune Maharashtra, India | 33.3 | |
| 65 | Dūngarpur Rajasthan, India | 33.3 | |
| 67 | Amaravati Andhra Pradesh, India | 33.0 | |
| 68 | Faridabad Haryana, India | 32.7 | |
| 69 | Surat Gujarat, India | 32.2 | |
| 70 | Muzaffarnagar Uttar Pradesh, India | 32.1 | |
| 70 | Mahād Maharashtra, India | 32.1 | |
| 72 | Bhiwāni Haryana, India | 31.8 | |
| 73 | Karagandy low-cost sensors Karaganda, Kazakhstan | 31.7 | |
| 74 | Rājsamand Rajasthan, India | 31.2 | |
| 75 | Islamabad low-cost sensors Islamabad, Pakistan | 31.0 | |
| 76 | Denpasar low-cost sensors Bali, Indonesia | 30.9 | |
| 77 | Latur Maharashtra, India | 30.6 | |
| 78 | Malegaon Maharashtra, India | 30.4 | |
| 79 | Vijayawada Andhra Pradesh, India | 30.3 | |
| 80 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 30.2 | |
| 80 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 30.2 | |
| 80 | Ajmer Rajasthan, India | 30.2 | |
| 83 | Alipur low-cost sensors Islamabad, Pakistan | 29.7 | |
| 83 | Hacienda Santa Fe Jalisco, Mexico | 29.7 | |
| 85 | Calexico California, United States | 29.6 | |
| 86 | Yadgir Karnataka, India | 29.3 | |
| 87 | Boisar Maharashtra, India | 29.2 | |
| 88 | Saharsa Bihar, India | 28.9 | |
| 89 | Nashik Maharashtra, India | 28.8 | |
| 90 | Chūru Rajasthan, India | 28.4 | |
| 91 | Nāgaur Rajasthan, India | 27.9 | |
| 91 | Panchkula Haryana, India | 27.9 | |
| 93 | Jodhpur Rajasthan, India | 27.8 | |
| 94 | Pimpri-Chinchwad Maharashtra, India | 27.3 | |
| 95 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 27.2 | |
| 96 | Hyderabad low-cost sensors Sindh, Pakistan | 26.4 | |
| 96 | Chandigarh Chandigarh, India | 26.4 | |
| 98 | Wadgaon Kolhati Maharashtra, India | 26.3 | |
| 99 | Yuanlin Taiwan, Taiwan | 26.0 | |
| 100 | Quezon City low-cost sensors National Capital Region, Philippines | 25.3 | |
| 101 | Miyakonojō Miyazaki, Japan | 25.2 | |
| 102 | Panvel Maharashtra, India | 25.0 | |
| 103 | Ibadan low-cost sensors Oyo State, Nigeria | 24.9 | |
| 104 | Lagos low-cost sensors Lagos, Nigeria | 24.8 | |
| 105 | Karachi low-cost sensors Sindh, Pakistan | 24.7 | |
| 106 | Sirsa Haryana, India | 24.5 | |
| 107 | Harare low-cost sensors Harare, Zimbabwe | 24.3 | |
| 107 | Nichinan Miyazaki, Japan | 24.3 | |
| 109 | Douliu Taiwan, Taiwan | 24.2 | |
| 110 | Beigang Taiwan, Taiwan | 23.8 | |
| 111 | Erlun Taiwan, Taiwan | 23.5 | |
| 112 | Chiayi City Taiwan, Taiwan | 23.4 | |
| 113 | Bahadurgarh Haryana, India | 23.3 | |
| 113 | Zhushan Taiwan, Taiwan | 23.3 | |
| 115 | Hubballi Karnataka, India | 23.1 | |
| 116 | Chennai Tamil Nadu, India | 23.0 | |
| 117 | Jhunjhunūn Rajasthan, India | 22.8 | |
| 117 | Nantou Taiwan, Taiwan | 22.8 | |
| 119 | Kobayashi Miyazaki, Japan | 22.7 | |
| 120 | Lugu Taiwan, Taiwan | 22.4 | |
| 120 | Taguig low-cost sensors National Capital Region, Philippines | 22.4 | |
| 122 | Aki Kochi, Japan | 22.3 | |
| 123 | Taichung Taiwan, Taiwan | 22.2 | |
| 123 | Aosta Aosta Valley, Italy | 22.2 | |
| 123 | Santa Anita Jalisco, Mexico | 22.2 | |
| 126 | Jalor Rajasthan, India | 22.0 | |
| 127 | Ropar Punjab, India | 21.9 | |
| 128 | Tetovo Tetovo, North Macedonia | 21.5 | |
| 128 | Pratāpgarh Rajasthan, India | 21.5 | |
| 130 | Mumbai Maharashtra, India | 21.4 | |
| 131 | Wan Chai Wan Chai, Hong Kong | 21.1 | |
| 131 | San Francisco Tlalcilalcalpan México, Mexico | 21.1 | |
| 133 | Takanabe Miyazaki, Japan | 21.0 | |
| 134 | Siwān Bihar, India | 20.9 | |
| 134 | Miyazaki Miyazaki, Japan | 20.9 | |
| 134 | Byasanagar Odisha, India | 20.9 | |
| 137 | Changhua Taiwan, Taiwan | 20.6 | |
| 137 | Burriana Valencia, Spain | 20.6 | |
| 139 | Davangere Karnataka, India | 20.5 | |
| 139 | Mexicali Baja California, Mexico | 20.5 | |
| 141 | Patiāla Punjab, India | 20.3 | |
| 141 | Xizhou Taiwan, Taiwan | 20.3 | |
| 143 | Hita Oita, Japan | 20.2 | |
| 143 | Mohali Punjab, India | 20.2 | |
| 143 | San Salvador Tizatlalli México, Mexico | 20.2 | |
| 146 | Rānīganj West Bengal, India | 20.1 | |
| 147 | Shintomi Miyazaki, Japan | 20.0 | |
| 147 | Hyūga Miyazaki, Japan | 20.0 | |
| 149 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 19.9 | |
| 150 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 19.8 | |
| 150 | Ahilyanagar Maharashtra, India | 19.8 | |
| 150 | Puli Taiwan, Taiwan | 19.8 | |
| 150 | Nankoku Kochi, Japan | 19.8 | |
| 154 | Silchar Assam, India | 19.7 | |
| 154 | Ino Kochi, Japan | 19.7 | |
| 154 | Quthbullapur Telangana, India | 19.7 | |
| 157 | Quetta low-cost sensors Balochistan, Pakistan | 19.6 | |
| 157 | Erlin Taiwan, Taiwan | 19.6 | |
| 159 | Chaozhou Taiwan, Taiwan | 19.5 | |
| 160 | Taibao Taiwan, Taiwan | 19.4 | |
| 160 | Asunción low-cost sensors Asuncion, Paraguay | 19.4 | |
| 162 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 19.3 | |
| 162 | Tainan Taiwan, Taiwan | 19.3 | |
| 164 | Hyderabad Telangana, India | 19.2 | |
| 164 | Xinying Taiwan, Taiwan | 19.2 | |
| 164 | Pasadena low-cost sensors California, United States | 19.2 | |
| 167 | Bānswāra Rajasthan, India | 19.1 | |
| 168 | Istanbul low-cost sensors Istanbul, Turkey | 19.0 | |
| 168 | Murree low-cost sensors Punjab, Pakistan | 19.0 | |
| 168 | Thāne Maharashtra, India | 19.0 | |
| 168 | Cuttack Odisha, India | 19.0 | |
| 168 | Ōzu Kumamoto, Japan | 19.0 | |
| 168 | Kochi Kochi, Japan | 19.0 | |
| 168 | Guadalajara Jalisco, Mexico | 19.0 | |
| 175 | Zhudong Taiwan, Taiwan | 18.9 | |
| 176 | Mifune Kumamoto, Japan | 18.8 | |
| 176 | Kanoya Kagoshima, Japan | 18.8 | |
| 176 | Ourense Galicia, Spain | 18.8 | |
| 176 | Turin Piedmont, Italy | 18.8 | |
| 176 | Naharlagun Arunachal Pradesh, India | 18.8 | |
| 181 | Susaki Kochi, Japan | 18.7 | |
| 182 | Delhi Delhi, India | 18.5 | |
| 182 | Fengshan Takao, Taiwan | 18.5 | |
| 182 | Hitoyoshi Kumamoto, Japan | 18.5 | |
| 182 | Sevilla Andalusia, Spain | 18.5 | |
| 186 | Keonjhargarh Odisha, India | 18.4 | |
| 186 | Durango Basque Country, Spain | 18.4 | |
| 186 | Kotō Kumamoto, Japan | 18.4 | |
| 189 | Obrenovac Central Serbia, Serbia | 18.3 | |
| 189 | Huntington Beach low-cost sensors California, United States | 18.3 | |
| 191 | Bareilly Uttar Pradesh, India | 18.2 | |
| 191 | Shinagawa Ehime, Japan | 18.2 | |
| 191 | Ashaiman low-cost sensors Greater Accra, Ghana | 18.2 | |
| 194 | Gudalur Tamil Nadu, India | 18.1 | |
| 195 | Sīkar Rajasthan, India | 18.0 | |
| 195 | Yaoundé low-cost sensors Centre, Cameroon | 18.0 | |
| 195 | Hernani Basque Country, Spain | 18.0 | |
| 195 | Tlaquepaque Jalisco, Mexico | 18.0 | |
| 199 | Badlapur Maharashtra, India | 17.9 | |
| 199 | Huelva Andalusia, Spain | 17.9 |
Top 200 of 2,383 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