SmogRank / History / April 20, 2026
Most polluted cities on April 20, 2026
2,262 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Gurugram Haryana, India | 152.0 | |
| 2 | Bhāgalpur Bihar, India | 120.0 | |
| 3 | Chānda Maharashtra, India | 109.6 | |
| 4 | Singrauli Madhya Pradesh, India | 95.4 | |
| 5 | Parbhani Maharashtra, India | 90.7 | |
| 6 | Uttaradit low-cost sensors Uttaradit, Thailand | 83.5 | |
| 7 | Jīnd Haryana, India | 80.8 | |
| 8 | Najafgarh Delhi, India | 80.3 | |
| 9 | Faridabad Haryana, India | 79.5 | |
| 10 | Baddi Himachal Pradesh, India | 76.7 | |
| 11 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 76.6 | |
| 12 | Yamuna Nagar Haryana, India | 73.6 | |
| 13 | Bahadurgarh Haryana, India | 72.7 | |
| 14 | Faisalabad low-cost sensors Punjab, Pakistan | 71.4 | |
| 15 | Narela Delhi, India | 69.1 | |
| 16 | Hājīpur Bihar, India | 68.6 | |
| 17 | Undera Gujarat, India | 68.2 | |
| 18 | Saharsa Bihar, India | 67.0 | |
| 19 | Lucknow Uttar Pradesh, India | 66.8 | |
| 20 | Bahawalpur low-cost sensors Punjab, Pakistan | 66.1 | |
| 21 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 65.6 | |
| 22 | Bārān Rajasthan, India | 61.6 | |
| 23 | Bāghpat Uttar Pradesh, India | 61.2 | |
| 24 | Barbil Odisha, India | 59.5 | |
| 25 | Dhāruhera Haryana, India | 59.1 | |
| 25 | Kathmandu low-cost sensors Bagmati Province, Nepal | 59.1 | |
| 27 | Dera Māndi Delhi, India | 57.7 | |
| 28 | Karnāl Haryana, India | 57.4 | |
| 29 | Delhi Delhi, India | 57.0 | |
| 30 | Dādri Uttar Pradesh, India | 56.5 | |
| 31 | Gaya Bihar, India | 56.0 | |
| 32 | Hāpur Uttar Pradesh, India | 55.9 | |
| 33 | Ankleshwar Gujarat, India | 55.3 | |
| 34 | Muzaffarnagar Uttar Pradesh, India | 54.9 | |
| 35 | Patna Bihar, India | 54.7 | |
| 36 | Quezon City low-cost sensors National Capital Region, Philippines | 54.5 | |
| 37 | Kaithal Haryana, India | 53.7 | |
| 38 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 52.1 | |
| 39 | Ghāziābād Uttar Pradesh, India | 51.8 | |
| 40 | Noida Uttar Pradesh, India | 50.7 | |
| 41 | Hanumāngarh Rajasthan, India | 50.6 | |
| 42 | Aya Nagar Delhi, India | 50.0 | |
| 43 | Jaipur Rajasthan, India | 49.7 | |
| 44 | Bhiwadi Rajasthan, India | 49.3 | |
| 45 | Lahore low-cost sensors Punjab, Pakistan | 48.8 | |
| 46 | Multan low-cost sensors Punjab, Pakistan | 48.6 | |
| 47 | Burunday low-cost sensors Almaty Region, Kazakhstan | 48.5 | |
| 48 | San Luis Potosí San Luis Potosí, Mexico | 48.2 | |
| 49 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 48.1 | |
| 49 | Ibadan low-cost sensors Oyo State, Nigeria | 48.1 | |
| 51 | Ahmedabad Gujarat, India | 47.6 | |
| 52 | Dhule Maharashtra, India | 47.2 | |
| 53 | Thānesar Haryana, India | 46.6 | |
| 54 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 45.2 | |
| 55 | Rājgīr Bihar, India | 45.0 | |
| 56 | Begusarai Bihar, India | 44.8 | |
| 57 | Akola Maharashtra, India | 44.0 | |
| 58 | Sonīpat Haryana, India | 43.1 | |
| 58 | Chūru Rajasthan, India | 43.1 | |
| 58 | Panchkula Haryana, India | 43.1 | |
| 61 | Iloilo low-cost sensors Western Visayas, Philippines | 42.9 | |
| 62 | Kanpur Uttar Pradesh, India | 42.5 | |
| 63 | Dubai low-cost sensors Dubai, United Arab Emirates | 42.2 | |
| 64 | Kampala low-cost sensors Central Region, Uganda | 42.1 | |
| 64 | Saugor Madhya Pradesh, India | 42.1 | |
| 66 | Closepet Karnataka, India | 41.3 | |
| 67 | Vijayawada Andhra Pradesh, India | 40.5 | |
| 68 | Ahilyanagar Maharashtra, India | 40.4 | |
| 69 | Phuntsholing low-cost sensors Chukha, Bhutan | 40.3 | |
| 69 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 40.3 | |
| 71 | Kharghar Maharashtra, India | 40.2 | |
| 72 | Tirupati Andhra Pradesh, India | 40.1 | |
| 73 | Nagpur Maharashtra, India | 40.0 | |
| 74 | Nashik Maharashtra, India | 39.7 | |
| 75 | Durgapur West Bengal, India | 39.6 | |
| 76 | Rourkela Odisha, India | 39.4 | |
| 76 | Angul Odisha, India | 39.4 | |
| 78 | Kalyān Maharashtra, India | 38.8 | |
| 79 | Jalgaon Maharashtra, India | 38.7 | |
| 79 | Buxar Bihar, India | 38.7 | |
| 81 | Kadapa Andhra Pradesh, India | 38.3 | |
| 82 | Baripāda Odisha, India | 38.0 | |
| 83 | Mahād Maharashtra, India | 37.4 | |
| 84 | Chandigarh Chandigarh, India | 37.3 | |
| 85 | Agartala Tripura, India | 37.2 | |
| 85 | Wadgaon Kolhati Maharashtra, India | 37.2 | |
| 87 | Anantapur Andhra Pradesh, India | 37.1 | |
| 88 | Bhiwandi Maharashtra, India | 36.9 | |
| 88 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 36.9 | |
| 90 | Sialkot low-cost sensors Punjab, Pakistan | 36.7 | |
| 91 | Meerut Uttar Pradesh, India | 36.5 | |
| 91 | Greater Noida Uttar Pradesh, India | 36.5 | |
| 93 | Arrah Bihar, India | 36.4 | |
| 94 | Lilongwe low-cost sensors Central Region, Malawi | 36.3 | |
| 94 | Saint-Louis low-cost sensors Saint-Louis, Senegal | 36.3 | |
| 96 | Keonjhargarh Odisha, India | 36.0 | |
| 97 | Ajmer Rajasthan, India | 35.9 | |
| 98 | Bānswāra Rajasthan, India | 35.8 | |
| 98 | Wan Chai Wan Chai, Hong Kong | 35.8 | |
| 100 | Jalandhar Punjab, India | 35.2 | |
| 101 | Patiāla Punjab, India | 34.9 | |
| 101 | Hyderabad Telangana, India | 34.9 | |
| 103 | Sri Ganganagar Rajasthan, India | 34.8 | |
| 103 | Amravati Maharashtra, India | 34.8 | |
| 105 | San Salvador Tizatlalli México, Mexico | 34.7 | |
| 106 | Bhopal Madhya Pradesh, India | 34.6 | |
| 107 | Naharlagun Arunachal Pradesh, India | 34.5 | |
| 108 | Jharia Jharkhand, India | 34.4 | |
| 109 | Gandhinagar Gujarat, India | 34.3 | |
| 110 | Bengaluru Karnataka, India | 34.2 | |
| 111 | Sholapur Maharashtra, India | 34.0 | |
| 111 | Lagos low-cost sensors Lagos, Nigeria | 34.0 | |
| 113 | Morādābād Uttar Pradesh, India | 33.9 | |
| 114 | Latur Maharashtra, India | 33.8 | |
| 114 | Chittoor Andhra Pradesh, India | 33.8 | |
| 116 | Jammu low-cost sensors Jammu and Kashmir, India | 33.7 | |
| 117 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 33.5 | |
| 117 | Sukuta low-cost sensors Western, Gambia | 33.5 | |
| 119 | Gwalior Madhya Pradesh, India | 33.3 | |
| 120 | Gujranwala low-cost sensors Punjab, Pakistan | 33.2 | |
| 121 | Karauli Rajasthan, India | 33.0 | |
| 121 | Sau Mau Ping Kwun Tong District, Hong Kong | 33.0 | |
| 123 | Aurangabad Maharashtra, India | 32.8 | |
| 124 | Byasanagar Odisha, India | 32.7 | |
| 125 | Agra Uttar Pradesh, India | 32.5 | |
| 126 | Bareilly Uttar Pradesh, India | 32.4 | |
| 127 | Rawalpindi low-cost sensors Punjab, Pakistan | 32.2 | |
| 127 | Tonk Rajasthan, India | 32.2 | |
| 127 | Badlapur Maharashtra, India | 32.2 | |
| 130 | Tin Shui Wai Yuen Long, Hong Kong | 32.1 | |
| 131 | Hyderabad low-cost sensors Sindh, Pakistan | 32.0 | |
| 132 | Mong Kok Yau Tsim Mong District, Hong Kong | 31.4 | |
| 132 | Pimpri-Chinchwad Maharashtra, India | 31.4 | |
| 134 | Panvel Maharashtra, India | 31.3 | |
| 135 | Arāria Bihar, India | 31.1 | |
| 136 | Fanling North District, Hong Kong | 31.0 | |
| 137 | Sai Mai low-cost sensors Bangkok, Thailand | 30.8 | |
| 138 | Pune Maharashtra, India | 30.7 | |
| 139 | Aizawl Mizoram, India | 30.6 | |
| 140 | Kwai Chung Kwai Tsing District, Hong Kong | 30.5 | |
| 141 | Sasarām Bihar, India | 30.3 | |
| 142 | Karachi low-cost sensors Sindh, Pakistan | 30.2 | |
| 142 | Tuen Mun Tuen Mun, Hong Kong | 30.2 | |
| 142 | Sham Shui Po Sham Shui Po District, Hong Kong | 30.2 | |
| 145 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 29.8 | |
| 145 | Tai Po Tai Po, Hong Kong | 29.8 | |
| 147 | Jabalpur Madhya Pradesh, India | 29.6 | |
| 148 | Bangkok low-cost sensors Bangkok, Thailand | 29.5 | |
| 148 | Palembang low-cost sensors South Sumatra, Indonesia | 29.5 | |
| 150 | Boisar Maharashtra, India | 29.3 | |
| 150 | Bhayandar Maharashtra, India | 29.3 | |
| 152 | Nāgaur Rajasthan, India | 29.1 | |
| 152 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 29.1 | |
| 154 | Sīkar Rajasthan, India | 28.9 | |
| 154 | Kolkata West Bengal, India | 28.9 | |
| 156 | Coimbatore Tamil Nadu, India | 28.4 | |
| 156 | Douliu Taiwan, Taiwan | 28.4 | |
| 158 | Yuanlin Taiwan, Taiwan | 28.2 | |
| 159 | Sirsa Haryana, India | 27.6 | |
| 159 | Prayagraj Uttar Pradesh, India | 27.6 | |
| 159 | Zhushan Taiwan, Taiwan | 27.6 | |
| 162 | Lugu Taiwan, Taiwan | 27.5 | |
| 163 | Novi Pazar Central Serbia, Serbia | 27.4 | |
| 163 | Rairangpur Odisha, India | 27.4 | |
| 163 | Tsuen Wan Tsuen Wan, Hong Kong | 27.4 | |
| 163 | Victoria Central and Western, Hong Kong | 27.4 | |
| 167 | Indore Madhya Pradesh, India | 27.2 | |
| 167 | Tlaquepaque Jalisco, Mexico | 27.2 | |
| 169 | Rānīganj West Bengal, India | 27.1 | |
| 170 | Virār Maharashtra, India | 27.0 | |
| 171 | Chittorgarh Rajasthan, India | 26.4 | |
| 172 | Āsansol West Bengal, India | 26.3 | |
| 173 | Hacienda Santa Fe Jalisco, Mexico | 26.1 | |
| 174 | Nantou Taiwan, Taiwan | 26.0 | |
| 175 | Perundurai Tamil Nadu, India | 25.9 | |
| 176 | Islamabad low-cost sensors Islamabad, Pakistan | 25.8 | |
| 177 | Mangaluru Karnataka, India | 25.7 | |
| 178 | Kolhāpur Maharashtra, India | 25.3 | |
| 178 | Gangtok Sikkim, India | 25.3 | |
| 180 | Dausa Rajasthan, India | 25.2 | |
| 180 | Ashaiman low-cost sensors Greater Accra, Ghana | 25.2 | |
| 182 | Shrīrāmpur West Bengal, India | 25.1 | |
| 182 | Tuxtla Chiapas, Mexico | 25.1 | |
| 184 | Pratāpgarh Rajasthan, India | 24.7 | |
| 185 | Jaisalmer Rajasthan, India | 24.6 | |
| 185 | Mumbai Maharashtra, India | 24.6 | |
| 185 | Xinying Taiwan, Taiwan | 24.6 | |
| 188 | Târgu Mureş low-cost sensors Mureș County, Romania | 24.5 | |
| 188 | Tirumala Andhra Pradesh, India | 24.5 | |
| 188 | Victoria de Durango Durango, Mexico | 24.5 | |
| 191 | Erlun Taiwan, Taiwan | 24.4 | |
| 192 | Erlin Taiwan, Taiwan | 24.3 | |
| 193 | Baia Mare Maramureş, Romania | 24.2 | |
| 194 | Calexico California, United States | 24.0 | |
| 194 | Neelankarai Tamil Nadu, India | 24.0 | |
| 196 | Changhua Taiwan, Taiwan | 23.9 | |
| 197 | Sha Tin Sha Tin, Hong Kong | 23.7 | |
| 198 | Beigang Taiwan, Taiwan | 23.6 | |
| 199 | Buzi Taiwan, Taiwan | 23.5 | |
| 199 | Fengshan Takao, Taiwan | 23.5 |
Top 200 of 2,262 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