SmogRank / History / week of September 21, 2026
Most polluted cities, week of September 21, 2026
2,357 cities ranked by their average PM2.5 over the 7 days. A city needs measurements on 70% of the days to be ranked.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Gujranwala low-cost sensors Punjab, Pakistan | 99.3 | |
| 2 | Lahore low-cost sensors Punjab, Pakistan | 94.1 | |
| 2 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 94.1 | |
| 4 | Dera Māndi Delhi, India | 93.1 | |
| 5 | Gurugram Haryana, India | 86.6 | |
| 6 | Yamuna Nagar Haryana, India | 78.7 | |
| 7 | Multan low-cost sensors Punjab, Pakistan | 78.4 | |
| 8 | Jīnd Haryana, India | 75.2 | |
| 9 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 74.0 | |
| 10 | Faisalabad low-cost sensors Punjab, Pakistan | 73.5 | |
| 11 | Sialkot low-cost sensors Punjab, Pakistan | 73.2 | |
| 12 | Jammu low-cost sensors Jammu and Kashmir, India | 72.9 | |
| 13 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 67.9 | |
| 14 | Lilongwe low-cost sensors Central Region, Malawi | 67.8 | |
| 15 | Dādri Uttar Pradesh, India | 64.6 | |
| 16 | Saint-Louis low-cost sensors Saint-Louis, Senegal | 64.0 | |
| 17 | Bahawalpur low-cost sensors Punjab, Pakistan | 63.7 | |
| 18 | Kampala low-cost sensors Central Region, Uganda | 63.4 | |
| 19 | Zomba low-cost sensors Southern Region, Malawi | 63.3 | |
| 20 | Dubai low-cost sensors Dubai, United Arab Emirates | 62.9 | |
| 21 | Kaithal Haryana, India | 60.7 | |
| 22 | Blantyre low-cost sensors Southern Region, Malawi | 58.2 | |
| 23 | Sri Ganganagar Rajasthan, India | 56.6 | |
| 24 | Bahadurgarh Haryana, India | 55.9 | |
| 25 | Dhāruhera Haryana, India | 54.2 | |
| 26 | Kalyān Maharashtra, India | 50.7 | |
| 27 | Tabanan low-cost sensors Bali, Indonesia | 49.6 | |
| 28 | Narela Delhi, India | 48.8 | |
| 29 | Hanumāngarh Rajasthan, India | 48.2 | |
| 30 | Jalandhar Punjab, India | 48.1 | |
| 31 | Parbhani Maharashtra, India | 48.0 | |
| 32 | Rawalpindi low-cost sensors Punjab, Pakistan | 47.7 | |
| 33 | Thānesar Haryana, India | 47.6 | |
| 34 | Delhi Delhi, India | 47.0 | |
| 35 | Karonga low-cost sensors Northern Region, Malawi | 46.8 | |
| 36 | Noida Uttar Pradesh, India | 46.6 | |
| 37 | Muzaffarnagar Uttar Pradesh, India | 46.4 | |
| 37 | Ambāla Haryana, India | 46.4 | |
| 39 | Najafgarh Delhi, India | 46.2 | |
| 40 | Bhiwāni Haryana, India | 45.9 | |
| 41 | Ubud low-cost sensors Bali, Indonesia | 45.8 | |
| 42 | Ahmedabad Gujarat, India | 45.3 | |
| 43 | Singapore low-cost sensors Singapore | 45.1 | |
| 44 | Alipur low-cost sensors Islamabad, Pakistan | 44.7 | |
| 45 | Islamabad low-cost sensors Islamabad, Pakistan | 43.2 | |
| 45 | Hāpur Uttar Pradesh, India | 43.2 | |
| 47 | Arāria Bihar, India | 43.1 | |
| 48 | Sonīpat Haryana, India | 43.0 | |
| 48 | Aya Nagar Delhi, India | 43.0 | |
| 50 | Kuala Lumpur low-cost sensors Kuala Lumpur, Malaysia | 42.8 | |
| 51 | Queenstown Estate low-cost sensors Singapore | 42.5 | |
| 52 | Chittoor Andhra Pradesh, India | 42.4 | |
| 53 | Baddi Himachal Pradesh, India | 42.2 | |
| 54 | Bhilwara Rajasthan, India | 42.1 | |
| 54 | Aurangabad Maharashtra, India | 42.1 | |
| 56 | Chittorgarh Rajasthan, India | 42.0 | |
| 57 | Dalung low-cost sensors Bali, Indonesia | 41.8 | |
| 58 | Bhiwadi Rajasthan, India | 41.7 | |
| 59 | Gandhinagar Gujarat, India | 41.6 | |
| 60 | Meerut Uttar Pradesh, India | 40.8 | |
| 60 | Bāghpat Uttar Pradesh, India | 40.8 | |
| 62 | Mzuzu low-cost sensors Northern Region, Malawi | 40.7 | |
| 63 | Dausa Rajasthan, India | 40.3 | |
| 64 | Ghāziābād Uttar Pradesh, India | 40.1 | |
| 65 | Undera Gujarat, India | 39.8 | |
| 66 | Nanded Maharashtra, India | 39.3 | |
| 67 | Nalbāri Assam, India | 38.2 | |
| 68 | Tonk Rajasthan, India | 36.7 | |
| 69 | Vereeniging low-cost sensors Gauteng, South Africa | 36.6 | |
| 70 | Dūngarpur Rajasthan, India | 36.5 | |
| 71 | Nagaon Assam, India | 36.3 | |
| 72 | Kadapa Andhra Pradesh, India | 36.2 | |
| 73 | Denpasar low-cost sensors Bali, Indonesia | 36.1 | |
| 74 | Tirupati Andhra Pradesh, India | 36.0 | |
| 74 | Jalgaon Maharashtra, India | 36.0 | |
| 76 | Saharsa Bihar, India | 35.8 | |
| 76 | Jaipur Rajasthan, India | 35.8 | |
| 78 | Bikaner Rajasthan, India | 35.4 | |
| 79 | Surat Gujarat, India | 35.2 | |
| 80 | Mangaluru Karnataka, India | 34.9 | |
| 81 | Anantapur Andhra Pradesh, India | 34.8 | |
| 82 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 34.4 | |
| 83 | Jhunjhunūn Rajasthan, India | 34.2 | |
| 83 | Faridabad Haryana, India | 34.2 | |
| 85 | San Luis Potosí San Luis Potosí, Mexico | 34.0 | |
| 86 | Ajmer Rajasthan, India | 33.9 | |
| 87 | Amaravati Andhra Pradesh, India | 33.8 | |
| 88 | Dushanbe Dushanbe, Tajikistan | 33.6 | |
| 88 | Pratāpgarh Rajasthan, India | 33.6 | |
| 90 | Iloilo low-cost sensors Western Visayas, Philippines | 33.5 | |
| 91 | Murree low-cost sensors Punjab, Pakistan | 33.4 | |
| 92 | Harare low-cost sensors Harare, Zimbabwe | 33.3 | |
| 93 | Malegaon Maharashtra, India | 32.7 | |
| 94 | Būndi Rajasthan, India | 31.9 | |
| 95 | Chūru Rajasthan, India | 31.4 | |
| 96 | Serilingampalle Telangana, India | 31.2 | |
| 97 | Jhālāwār Rajasthan, India | 31.0 | |
| 98 | Vijayawada Andhra Pradesh, India | 30.6 | |
| 99 | Morādābād Uttar Pradesh, India | 30.3 | |
| 100 | Sholapur Maharashtra, India | 30.1 | |
| 101 | Patiāla Punjab, India | 30.0 | |
| 101 | Calexico California, United States | 30.0 | |
| 103 | Sawai Madhopur Rajasthan, India | 29.7 | |
| 104 | Kota Rajasthan, India | 29.3 | |
| 105 | Karnāl Haryana, India | 29.2 | |
| 106 | Hyderabad low-cost sensors Sindh, Pakistan | 29.0 | |
| 107 | Rājsamand Rajasthan, India | 28.7 | |
| 107 | Jodhpur Rajasthan, India | 28.7 | |
| 109 | Agra Uttar Pradesh, India | 28.6 | |
| 110 | Karachi low-cost sensors Sindh, Pakistan | 28.3 | |
| 111 | Rasapūdipalem Andhra Pradesh, India | 27.8 | |
| 112 | Mahād Maharashtra, India | 27.4 | |
| 112 | Hacienda Santa Fe Jalisco, Mexico | 27.4 | |
| 114 | Nāgaur Rajasthan, India | 27.1 | |
| 115 | Siwān Bihar, India | 26.7 | |
| 115 | Gwalior Madhya Pradesh, India | 26.7 | |
| 117 | Srinagar Jammu and Kashmir, India | 26.5 | |
| 117 | Sīkar Rajasthan, India | 26.5 | |
| 119 | Nashik Maharashtra, India | 26.4 | |
| 120 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 26.0 | |
| 120 | Dhaulpur Rajasthan, India | 26.0 | |
| 122 | Pune Maharashtra, India | 25.7 | |
| 123 | Wadgaon Kolhati Maharashtra, India | 25.3 | |
| 124 | Boisar Maharashtra, India | 25.0 | |
| 125 | Tuxtla Chiapas, Mexico | 24.8 | |
| 126 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 24.7 | |
| 127 | Panvel Maharashtra, India | 24.3 | |
| 127 | Chennai Tamil Nadu, India | 24.3 | |
| 129 | Chānda Maharashtra, India | 24.1 | |
| 130 | Hubballi Karnataka, India | 24.0 | |
| 130 | Ahilyanagar Maharashtra, India | 24.0 | |
| 132 | Jalor Rajasthan, India | 23.8 | |
| 132 | Quezon City low-cost sensors National Capital Region, Philippines | 23.8 | |
| 134 | Quetta low-cost sensors Balochistan, Pakistan | 23.7 | |
| 134 | Lucknow Uttar Pradesh, India | 23.7 | |
| 134 | Ibadan low-cost sensors Oyo State, Nigeria | 23.7 | |
| 137 | Jaisalmer Rajasthan, India | 23.5 | |
| 138 | Bhopal Madhya Pradesh, India | 23.4 | |
| 139 | Chandigarh Chandigarh, India | 23.3 | |
| 140 | Karauli Rajasthan, India | 23.2 | |
| 141 | Nagpur Maharashtra, India | 22.9 | |
| 142 | Hājīpur Bihar, India | 22.7 | |
| 143 | Latur Maharashtra, India | 22.6 | |
| 144 | Pimpri-Chinchwad Maharashtra, India | 22.4 | |
| 145 | Nandri Rajasthan, India | 22.3 | |
| 146 | Bharatpur Rajasthan, India | 22.1 | |
| 146 | Wan Chai Wan Chai, Hong Kong | 22.1 | |
| 148 | Thāne Maharashtra, India | 21.7 | |
| 148 | Hyderabad Telangana, India | 21.7 | |
| 150 | Istanbul low-cost sensors Istanbul, Turkey | 21.6 | |
| 150 | Mumbai Maharashtra, India | 21.6 | |
| 150 | Bareilly Uttar Pradesh, India | 21.6 | |
| 153 | Gaya Bihar, India | 21.2 | |
| 153 | Taguig low-cost sensors National Capital Region, Philippines | 21.2 | |
| 155 | Bhayandar Maharashtra, India | 20.9 | |
| 156 | Lagos low-cost sensors Lagos, Nigeria | 20.7 | |
| 157 | San Salvador Tizatlalli México, Mexico | 20.4 | |
| 158 | Yadgir Karnataka, India | 20.3 | |
| 158 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 20.3 | |
| 160 | Durgapur West Bengal, India | 20.2 | |
| 161 | Obrenovac Central Serbia, Serbia | 20.1 | |
| 162 | Keonjhargarh Odisha, India | 20.0 | |
| 162 | Kharghar Maharashtra, India | 20.0 | |
| 164 | Bārmer Rajasthan, India | 19.9 | |
| 165 | Baku Baki, Azerbaijan | 19.8 | |
| 165 | Yuanlin Taiwan, Taiwan | 19.8 | |
| 167 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 19.7 | |
| 168 | Quthbullapur Telangana, India | 19.6 | |
| 169 | Agartala Tripura, India | 19.5 | |
| 170 | Sirsa Haryana, India | 19.4 | |
| 171 | Burunday low-cost sensors Almaty Region, Kazakhstan | 19.3 | |
| 172 | Byasanagar Odisha, India | 19.2 | |
| 173 | Raipur Chhattisgarh, India | 19.1 | |
| 173 | Zhushan Taiwan, Taiwan | 19.1 | |
| 175 | Kanpur Uttar Pradesh, India | 19.0 | |
| 175 | Begusarai Bihar, India | 19.0 | |
| 177 | Indore Madhya Pradesh, India | 18.9 | |
| 177 | Bhiwandi Maharashtra, India | 18.9 | |
| 179 | Douliu Taiwan, Taiwan | 18.8 | |
| 179 | Porto low-cost sensors Porto, Portugal | 18.8 | |
| 179 | Santa Anita Jalisco, Mexico | 18.8 | |
| 182 | Silchar Assam, India | 18.6 | |
| 183 | Amravati Maharashtra, India | 18.5 | |
| 183 | Beigang Taiwan, Taiwan | 18.5 | |
| 185 | Ropar Punjab, India | 18.4 | |
| 186 | Patna Bihar, India | 18.3 | |
| 186 | Kolkata West Bengal, India | 18.3 | |
| 188 | Naharlagun Arunachal Pradesh, India | 18.2 | |
| 189 | Rānīganj West Bengal, India | 18.1 | |
| 189 | Angul Odisha, India | 18.1 | |
| 189 | Erlun Taiwan, Taiwan | 18.1 | |
| 192 | Ashaiman low-cost sensors Greater Accra, Ghana | 18.0 | |
| 193 | Gudalur Tamil Nadu, India | 17.9 | |
| 193 | Guadalajara Jalisco, Mexico | 17.9 | |
| 195 | Erlin Taiwan, Taiwan | 17.8 | |
| 196 | Taichung Taiwan, Taiwan | 17.7 | |
| 196 | Puli Taiwan, Taiwan | 17.7 | |
| 198 | Yerevan low-cost sensors Yerevan, Armenia | 17.5 | |
| 198 | Akola Maharashtra, India | 17.5 | |
| 198 | Nantou Taiwan, Taiwan | 17.5 |
Top 200 of 2,357 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