SmogRank / History / April 19, 2026
Most polluted cities on April 19, 2026
2,198 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Wadgaon Kolhati Maharashtra, India | 261.0 | |
| 2 | Gurugram Haryana, India | 185.0 | |
| 3 | Narela Delhi, India | 151.0 | |
| 4 | Faridabad Haryana, India | 130.5 | |
| 5 | Dādri Uttar Pradesh, India | 130.0 | |
| 6 | Bānswāra Rajasthan, India | 126.0 | |
| 7 | Noida Uttar Pradesh, India | 124.5 | |
| 8 | Hāpur Uttar Pradesh, India | 118.0 | |
| 9 | Singrauli Madhya Pradesh, India | 112.0 | |
| 10 | Delhi Delhi, India | 109.5 | |
| 11 | Ghāziābād Uttar Pradesh, India | 109.0 | |
| 12 | Victoria de Durango Durango, Mexico | 103.0 | |
| 13 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 102.0 | |
| 14 | Dera Māndi Delhi, India | 91.7 | |
| 15 | Yamuna Nagar Haryana, India | 90.6 | |
| 16 | Uttaradit low-cost sensors Uttaradit, Thailand | 87.2 | |
| 17 | Bāghpat Uttar Pradesh, India | 86.3 | |
| 18 | Najafgarh Delhi, India | 85.5 | |
| 19 | Joda Odisha, India | 84.2 | |
| 20 | Kathmandu low-cost sensors Bagmati Province, Nepal | 83.4 | |
| 21 | Jīnd Haryana, India | 83.0 | |
| 22 | Muzaffarnagar Uttar Pradesh, India | 81.7 | |
| 23 | Dhāruhera Haryana, India | 80.7 | |
| 24 | Bhiwadi Rajasthan, India | 78.5 | |
| 25 | Meerut Uttar Pradesh, India | 75.5 | |
| 26 | Bahadurgarh Haryana, India | 75.2 | |
| 27 | Jalgaon Maharashtra, India | 75.0 | |
| 27 | Baddi Himachal Pradesh, India | 75.0 | |
| 29 | Panvel Maharashtra, India | 73.3 | |
| 30 | Greater Noida Uttar Pradesh, India | 73.1 | |
| 31 | Thānesar Haryana, India | 72.6 | |
| 32 | Parbhani Maharashtra, India | 70.5 | |
| 33 | Aya Nagar Delhi, India | 70.4 | |
| 34 | Karnāl Haryana, India | 67.5 | |
| 35 | Kharghar Maharashtra, India | 66.7 | |
| 36 | Burunday low-cost sensors Almaty Region, Kazakhstan | 66.1 | |
| 37 | Barbil Odisha, India | 64.4 | |
| 38 | Gummidipundi Tamil Nadu, India | 63.3 | |
| 39 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 62.6 | |
| 40 | Undera Gujarat, India | 62.3 | |
| 41 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 61.8 | |
| 42 | Jaipur Rajasthan, India | 61.0 | |
| 43 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 60.2 | |
| 44 | Gwalior Madhya Pradesh, India | 59.4 | |
| 45 | Lucknow Uttar Pradesh, India | 57.4 | |
| 46 | Sholapur Maharashtra, India | 55.2 | |
| 47 | Kalyān Maharashtra, India | 53.8 | |
| 48 | Saugor Madhya Pradesh, India | 53.3 | |
| 49 | Rourkela Odisha, India | 51.4 | |
| 50 | Bhiwandi Maharashtra, India | 51.2 | |
| 50 | Wan Chai Wan Chai, Hong Kong | 51.2 | |
| 52 | Panchkula Haryana, India | 50.7 | |
| 53 | Dhule Maharashtra, India | 50.1 | |
| 54 | Tumkūr Karnataka, India | 50.0 | |
| 55 | Nagpur Maharashtra, India | 49.6 | |
| 56 | Jalandhar Punjab, India | 49.4 | |
| 56 | Talghar low-cost sensors Almaty Region, Kazakhstan | 49.4 | |
| 58 | Kanpur Uttar Pradesh, India | 49.3 | |
| 59 | Hājīpur Bihar, India | 47.5 | |
| 60 | Karauli Rajasthan, India | 47.0 | |
| 60 | Tin Shui Wai Yuen Long, Hong Kong | 47.0 | |
| 62 | Mong Kok Yau Tsim Mong District, Hong Kong | 46.4 | |
| 63 | Sham Shui Po Sham Shui Po District, Hong Kong | 45.8 | |
| 64 | Yadgir Karnataka, India | 45.7 | |
| 64 | Sirsa Haryana, India | 45.7 | |
| 64 | Sau Mau Ping Kwun Tong District, Hong Kong | 45.7 | |
| 67 | Bhāgalpur Bihar, India | 45.1 | |
| 68 | Iloilo low-cost sensors Western Visayas, Philippines | 44.9 | |
| 69 | Rājgīr Bihar, India | 44.7 | |
| 70 | Buxar Bihar, India | 44.5 | |
| 71 | Bārān Rajasthan, India | 44.1 | |
| 72 | Victoria Central and Western, Hong Kong | 44.0 | |
| 73 | Agartala Tripura, India | 43.8 | |
| 74 | San Tung Chung Hang Islands, Hong Kong | 43.6 | |
| 75 | Chūru Rajasthan, India | 43.5 | |
| 75 | Tuen Mun Tuen Mun, Hong Kong | 43.5 | |
| 77 | Kaithal Haryana, India | 43.3 | |
| 78 | Pune Maharashtra, India | 43.1 | |
| 78 | Akola Maharashtra, India | 43.1 | |
| 80 | Ankleshwar Gujarat, India | 43.0 | |
| 81 | Faisalabad low-cost sensors Punjab, Pakistan | 42.7 | |
| 82 | Phuntsholing low-cost sensors Chukha, Bhutan | 42.4 | |
| 82 | Nashik Maharashtra, India | 42.4 | |
| 84 | Patiāla Punjab, India | 42.3 | |
| 85 | Latur Maharashtra, India | 42.0 | |
| 86 | Almaty low-cost sensors Almaty, Kazakhstan | 41.1 | |
| 86 | Pimpri-Chinchwad Maharashtra, India | 41.1 | |
| 88 | Fanling North District, Hong Kong | 41.0 | |
| 89 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 40.4 | |
| 90 | Jharia Jharkhand, India | 40.3 | |
| 91 | Kampala low-cost sensors Central Region, Uganda | 40.2 | |
| 91 | Kwai Chung Kwai Tsing District, Hong Kong | 40.2 | |
| 93 | Amravati Maharashtra, India | 40.1 | |
| 94 | Hyderabad Telangana, India | 39.9 | |
| 95 | Gaya Bihar, India | 39.8 | |
| 96 | Vijayawada Andhra Pradesh, India | 39.6 | |
| 96 | Changchun low-cost sensors Jilin, China | 39.6 | |
| 98 | Kadapa Andhra Pradesh, India | 39.4 | |
| 99 | Mahād Maharashtra, India | 39.1 | |
| 100 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 38.9 | |
| 101 | Sonīpat Haryana, India | 38.4 | |
| 101 | Closepet Karnataka, India | 38.4 | |
| 103 | Tai Po Tai Po, Hong Kong | 38.3 | |
| 104 | Anantapur Andhra Pradesh, India | 38.2 | |
| 105 | Serilingampalle Telangana, India | 38.1 | |
| 106 | Keonjhargarh Odisha, India | 37.9 | |
| 107 | Tsuen Wan Tsuen Wan, Hong Kong | 37.8 | |
| 108 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 37.6 | |
| 109 | Lahore low-cost sensors Punjab, Pakistan | 37.4 | |
| 110 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 37.0 | |
| 110 | Shivamogga Karnataka, India | 37.0 | |
| 112 | Sukuta low-cost sensors Western, Gambia | 36.8 | |
| 113 | Angul Odisha, India | 36.7 | |
| 113 | Aberdeen Southern District, Hong Kong | 36.7 | |
| 115 | Quezon City low-cost sensors National Capital Region, Philippines | 36.5 | |
| 116 | Bahawalpur low-cost sensors Punjab, Pakistan | 36.3 | |
| 117 | Aizawl Mizoram, India | 36.0 | |
| 118 | Sialkot low-cost sensors Punjab, Pakistan | 35.8 | |
| 119 | Arrah Bihar, India | 35.7 | |
| 120 | Chandigarh Chandigarh, India | 35.5 | |
| 121 | Jhunjhunūn Rajasthan, India | 35.2 | |
| 122 | Bhayandar Maharashtra, India | 35.1 | |
| 123 | Tonk Rajasthan, India | 34.9 | |
| 123 | Patna Bihar, India | 34.9 | |
| 125 | Morādābād Uttar Pradesh, India | 34.8 | |
| 126 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 34.7 | |
| 127 | Ajmer Rajasthan, India | 34.4 | |
| 128 | Bikaner Rajasthan, India | 34.3 | |
| 129 | Badlapur Maharashtra, India | 34.2 | |
| 130 | Ahmedabad Gujarat, India | 34.0 | |
| 131 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 33.9 | |
| 132 | Hanumāngarh Rajasthan, India | 33.6 | |
| 133 | Bengaluru Karnataka, India | 33.4 | |
| 133 | Agra Uttar Pradesh, India | 33.4 | |
| 135 | Chānda Maharashtra, India | 33.3 | |
| 136 | Virār Maharashtra, India | 32.8 | |
| 137 | San Salvador Tizatlalli México, Mexico | 32.5 | |
| 138 | Kolhāpur Maharashtra, India | 32.3 | |
| 139 | Sai Mai low-cost sensors Bangkok, Thailand | 32.0 | |
| 140 | Jhālāwār Rajasthan, India | 31.9 | |
| 141 | Dausa Rajasthan, India | 31.7 | |
| 142 | Boisar Maharashtra, India | 31.6 | |
| 143 | Fengshan Takao, Taiwan | 31.5 | |
| 144 | Mumbai Maharashtra, India | 31.4 | |
| 145 | Chittoor Andhra Pradesh, India | 31.2 | |
| 146 | Jammu low-cost sensors Jammu and Kashmir, India | 30.9 | |
| 147 | Hyderabad low-cost sensors Sindh, Pakistan | 30.8 | |
| 147 | Bareilly Uttar Pradesh, India | 30.8 | |
| 147 | Aurangabad Maharashtra, India | 30.8 | |
| 150 | Dubai low-cost sensors Dubai, United Arab Emirates | 30.7 | |
| 150 | San Luis Potosí San Luis Potosí, Mexico | 30.7 | |
| 152 | Lilongwe low-cost sensors Central Region, Malawi | 30.6 | |
| 152 | Thāne Maharashtra, India | 30.6 | |
| 154 | Ambāla Haryana, India | 30.5 | |
| 155 | Tirupati Andhra Pradesh, India | 30.4 | |
| 156 | Gandhinagar Gujarat, India | 30.1 | |
| 157 | Shrīrāmpur West Bengal, India | 29.9 | |
| 157 | Durgapur West Bengal, India | 29.9 | |
| 157 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 29.9 | |
| 160 | Multan low-cost sensors Punjab, Pakistan | 29.4 | |
| 161 | Indore Madhya Pradesh, India | 29.3 | |
| 161 | Douliu Taiwan, Taiwan | 29.3 | |
| 163 | Gujranwala low-cost sensors Punjab, Pakistan | 29.1 | |
| 163 | Lagos low-cost sensors Lagos, Nigeria | 29.1 | |
| 163 | Neelankarai Tamil Nadu, India | 29.1 | |
| 166 | Saharsa Bihar, India | 29.0 | |
| 166 | Zhushan Taiwan, Taiwan | 29.0 | |
| 168 | Kolkata West Bengal, India | 28.9 | |
| 168 | Bangkok low-cost sensors Bangkok, Thailand | 28.9 | |
| 170 | Byasanagar Odisha, India | 28.8 | |
| 171 | Baripāda Odisha, India | 28.6 | |
| 171 | Sha Tin Sha Tin, Hong Kong | 28.6 | |
| 173 | Hacienda Santa Fe Jalisco, Mexico | 28.5 | |
| 174 | Quetta low-cost sensors Balochistan, Pakistan | 28.4 | |
| 175 | Jabalpur Madhya Pradesh, India | 27.9 | |
| 176 | Karachi low-cost sensors Sindh, Pakistan | 27.8 | |
| 177 | Tuxtla Chiapas, Mexico | 27.3 | |
| 178 | Rawalpindi low-cost sensors Punjab, Pakistan | 27.2 | |
| 179 | Ibadan low-cost sensors Oyo State, Nigeria | 27.0 | |
| 180 | Nantou Taiwan, Taiwan | 26.5 | |
| 181 | Prayagraj Uttar Pradesh, India | 26.3 | |
| 182 | Chaozhou Taiwan, Taiwan | 26.2 | |
| 183 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 25.8 | |
| 183 | Tehuacán Puebla, Mexico | 25.8 | |
| 185 | Celaya Guanajuato, Mexico | 25.7 | |
| 186 | Sasarām Bihar, India | 25.6 | |
| 187 | Coimbatore Tamil Nadu, India | 25.3 | |
| 188 | Kaohsiung Takao, Taiwan | 25.1 | |
| 189 | Arāria Bihar, India | 24.6 | |
| 189 | Tlaquepaque Jalisco, Mexico | 24.6 | |
| 191 | Lugu Taiwan, Taiwan | 24.5 | |
| 192 | Sri Ganganagar Rajasthan, India | 24.3 | |
| 193 | Chiayi City Taiwan, Taiwan | 24.2 | |
| 194 | Ziguinchor low-cost sensors Ziguinchor, Senegal | 24.1 | |
| 195 | Erlun Taiwan, Taiwan | 23.6 | |
| 196 | Tainan Taiwan, Taiwan | 23.5 | |
| 196 | Aguascalientes Aguascalientes, Mexico | 23.5 | |
| 198 | Bhilai Chhattisgarh, India | 23.0 | |
| 198 | Bharatpur Rajasthan, India | 23.0 | |
| 198 | Yuanlin Taiwan, Taiwan | 23.0 |
Top 200 of 2,198 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