SmogRank / History / March 28, 2026
Most polluted cities on March 28, 2026
2,251 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Belagavi Karnataka, India | 227.0 | |
| 2 | Gurugram Haryana, India | 142.0 | |
| 3 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 125.5 | |
| 4 | Changchun low-cost sensors Jilin, China | 122.0 | |
| 5 | Faridabad Haryana, India | 101.8 | |
| 6 | Dādri Uttar Pradesh, India | 99.6 | |
| 7 | Narela Delhi, India | 89.4 | |
| 8 | Ropar Punjab, India | 83.9 | |
| 9 | Mangaluru Karnataka, India | 83.0 | |
| 10 | Noida Uttar Pradesh, India | 81.3 | |
| 11 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 79.0 | |
| 12 | Uttaradit low-cost sensors Uttaradit, Thailand | 76.0 | |
| 13 | Sonīpat Haryana, India | 74.2 | |
| 14 | Ghāziābād Uttar Pradesh, India | 71.8 | |
| 15 | Gummidipundi Tamil Nadu, India | 69.7 | |
| 16 | Delhi Delhi, India | 67.7 | |
| 17 | Sialkot low-cost sensors Punjab, Pakistan | 67.2 | |
| 18 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 63.4 | |
| 19 | Mahād Maharashtra, India | 63.2 | |
| 19 | Undera Gujarat, India | 63.2 | |
| 21 | Faisalabad low-cost sensors Punjab, Pakistan | 62.1 | |
| 22 | Gujranwala low-cost sensors Punjab, Pakistan | 61.9 | |
| 23 | Yamuna Nagar Haryana, India | 61.8 | |
| 24 | Bāghpat Uttar Pradesh, India | 60.9 | |
| 25 | Talghar low-cost sensors Almaty Region, Kazakhstan | 60.6 | |
| 26 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 59.1 | |
| 27 | Jammu low-cost sensors Jammu and Kashmir, India | 57.9 | |
| 28 | Muzaffarnagar Uttar Pradesh, India | 56.7 | |
| 29 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 56.5 | |
| 30 | Singrauli Madhya Pradesh, India | 55.3 | |
| 31 | Lahore low-cost sensors Punjab, Pakistan | 54.5 | |
| 32 | Baddi Himachal Pradesh, India | 53.8 | |
| 33 | Malegaon Maharashtra, India | 53.6 | |
| 33 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 53.6 | |
| 35 | Greater Noida Uttar Pradesh, India | 52.9 | |
| 36 | Agartala Tripura, India | 52.0 | |
| 37 | Burunday low-cost sensors Almaty Region, Kazakhstan | 51.3 | |
| 38 | Jalandhar Punjab, India | 50.3 | |
| 39 | Victoria de Durango Durango, Mexico | 50.0 | |
| 40 | Kadapa Andhra Pradesh, India | 49.7 | |
| 41 | Bhiwadi Rajasthan, India | 49.5 | |
| 42 | Najafgarh Delhi, India | 49.2 | |
| 43 | Karauli Rajasthan, India | 48.9 | |
| 44 | Sholapur Maharashtra, India | 48.4 | |
| 45 | Karnāl Haryana, India | 46.2 | |
| 46 | Jīnd Haryana, India | 45.6 | |
| 47 | Joda Odisha, India | 45.3 | |
| 48 | Almaty low-cost sensors Almaty, Kazakhstan | 45.2 | |
| 49 | Sirsa Haryana, India | 45.1 | |
| 50 | Jaipur Rajasthan, India | 44.9 | |
| 51 | Sasebo Nagasaki, Japan | 44.2 | |
| 52 | Ambāla Haryana, India | 44.0 | |
| 53 | Tirumala Andhra Pradesh, India | 43.7 | |
| 54 | Thānesar Haryana, India | 43.4 | |
| 55 | Kaithal Haryana, India | 43.3 | |
| 56 | Kathmandu low-cost sensors Bagmati Province, Nepal | 43.2 | |
| 57 | Lucknow Uttar Pradesh, India | 43.1 | |
| 58 | Ankleshwar Gujarat, India | 43.0 | |
| 59 | Żywiec Silesia, Poland | 42.5 | |
| 60 | Bengaluru Karnataka, India | 42.4 | |
| 61 | Rourkela Odisha, India | 42.2 | |
| 61 | Closepet Karnataka, India | 42.2 | |
| 63 | Meerut Uttar Pradesh, India | 42.1 | |
| 64 | Anantapur Andhra Pradesh, India | 41.8 | |
| 65 | Pune Maharashtra, India | 41.5 | |
| 65 | Angul Odisha, India | 41.5 | |
| 65 | Barbil Odisha, India | 41.5 | |
| 68 | Chittoor Andhra Pradesh, India | 41.4 | |
| 69 | Dhule Maharashtra, India | 41.2 | |
| 70 | Bhelai Chhattisgarh, India | 40.8 | |
| 71 | Bhiwāni Haryana, India | 39.9 | |
| 71 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 39.9 | |
| 73 | Chānda Maharashtra, India | 39.8 | |
| 74 | San Luis Potosí San Luis Potosí, Mexico | 39.6 | |
| 75 | Gwalior Madhya Pradesh, India | 39.5 | |
| 76 | Rēzekne Rēzekne, Latvia | 39.4 | |
| 77 | Surat Gujarat, India | 38.6 | |
| 78 | Nanded Maharashtra, India | 38.2 | |
| 79 | Nagpur Maharashtra, India | 37.8 | |
| 80 | Tirupati Andhra Pradesh, India | 37.7 | |
| 80 | Sai Mai low-cost sensors Bangkok, Thailand | 37.7 | |
| 82 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 37.5 | |
| 83 | Nashik Maharashtra, India | 37.4 | |
| 83 | Gorzów Wielkopolski Lubusz, Poland | 37.4 | |
| 85 | Hita Oita, Japan | 36.7 | |
| 86 | Rawalpindi low-cost sensors Punjab, Pakistan | 36.6 | |
| 87 | Panchkula Haryana, India | 36.4 | |
| 88 | Kampala low-cost sensors Central Region, Uganda | 36.3 | |
| 89 | Łask Łódź Voivodeship, Poland | 36.1 | |
| 90 | Tsushima Nagasaki, Japan | 36.0 | |
| 91 | Gotō Nagasaki, Japan | 35.7 | |
| 92 | Multan low-cost sensors Punjab, Pakistan | 35.6 | |
| 92 | Togitsu Nagasaki, Japan | 35.6 | |
| 94 | Vijayawada Andhra Pradesh, India | 35.5 | |
| 95 | Bangkok low-cost sensors Bangkok, Thailand | 35.1 | |
| 96 | Kumamoto Kumamoto, Japan | 34.9 | |
| 97 | Marana Arizona, United States | 34.8 | |
| 98 | Uekimachi-mōno Kumamoto, Japan | 34.6 | |
| 98 | Ōmuta Fukuoka, Japan | 34.6 | |
| 98 | Nagato Yamaguchi, Japan | 34.6 | |
| 101 | Zhushan Taiwan, Taiwan | 34.5 | |
| 101 | Hondomachi-hondo Kumamoto, Japan | 34.5 | |
| 103 | Jalgaon Maharashtra, India | 34.4 | |
| 104 | Ajmer Rajasthan, India | 34.3 | |
| 104 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 34.3 | |
| 106 | Minamata Kumamoto, Japan | 34.2 | |
| 107 | Maebaru-chūō Fukuoka, Japan | 34.0 | |
| 108 | Rasapūdipalem Andhra Pradesh, India | 33.9 | |
| 109 | Kanpur Uttar Pradesh, India | 33.8 | |
| 109 | Aurangabad Maharashtra, India | 33.8 | |
| 109 | Ōmura Nagasaki, Japan | 33.8 | |
| 112 | Kalyān Maharashtra, India | 33.7 | |
| 113 | Nagasaki Nagasaki, Japan | 33.5 | |
| 113 | Tucson Arizona, United States | 33.5 | |
| 115 | Uto Kumamoto, Japan | 33.4 | |
| 116 | Kushikino Kagoshima, Japan | 33.3 | |
| 116 | Pimpri-Chinchwad Maharashtra, India | 33.3 | |
| 118 | Douliu Taiwan, Taiwan | 33.2 | |
| 119 | Hyderabad Telangana, India | 32.9 | |
| 119 | Hājīpur Bihar, India | 32.9 | |
| 121 | Arao Kumamoto, Japan | 32.7 | |
| 122 | Tamana Kumamoto, Japan | 32.6 | |
| 123 | Tanushimarumachi-toyoki Fukuoka, Japan | 32.4 | |
| 123 | Matsuura Nagasaki, Japan | 32.4 | |
| 125 | Latur Maharashtra, India | 32.2 | |
| 125 | Bārān Rajasthan, India | 32.2 | |
| 127 | Panvel Maharashtra, India | 32.0 | |
| 127 | Ōyanomachi-noboritate Kumamoto, Japan | 32.0 | |
| 129 | Koga Fukuoka, Japan | 31.9 | |
| 130 | Fukuoka Fukuoka, Japan | 31.8 | |
| 131 | Ahilyanagar Maharashtra, India | 31.7 | |
| 131 | Aso Kumamoto, Japan | 31.7 | |
| 133 | Hitoyoshi Kumamoto, Japan | 31.6 | |
| 134 | Aizawl Mizoram, India | 31.4 | |
| 135 | Kikuchi Kumamoto, Japan | 31.3 | |
| 136 | Coimbatore Tamil Nadu, India | 31.2 | |
| 136 | Izumi Kagoshima, Japan | 31.2 | |
| 138 | Ōzu Kumamoto, Japan | 31.1 | |
| 138 | Itoshima Fukuoka, Japan | 31.1 | |
| 140 | Suceava Suceava, Romania | 31.0 | |
| 140 | Sendai Kagoshima, Japan | 31.0 | |
| 142 | Morādābād Uttar Pradesh, India | 30.6 | |
| 142 | Jhunjhunūn Rajasthan, India | 30.6 | |
| 142 | Quthbullapur Telangana, India | 30.6 | |
| 145 | Yadgir Karnataka, India | 30.5 | |
| 145 | Kotō Kumamoto, Japan | 30.5 | |
| 147 | Arāria Bihar, India | 30.4 | |
| 147 | Isahaya Nagasaki, Japan | 30.4 | |
| 149 | Bhubaneswar Odisha, India | 30.3 | |
| 150 | Casa Grande Arizona, United States | 30.2 | |
| 151 | Phuntsholing low-cost sensors Chukha, Bhutan | 30.1 | |
| 152 | Badlapur Maharashtra, India | 30.0 | |
| 152 | Youkaichi Shiga, Japan | 30.0 | |
| 152 | Imarichō-kō Saga, Japan | 30.0 | |
| 155 | Murree low-cost sensors Punjab, Pakistan | 29.9 | |
| 156 | Keonjhargarh Odisha, India | 29.8 | |
| 156 | Indore Madhya Pradesh, India | 29.8 | |
| 156 | Kagoshima Kagoshima, Japan | 29.8 | |
| 159 | Nantou Taiwan, Taiwan | 29.7 | |
| 159 | Honmachi Kumamoto, Japan | 29.7 | |
| 161 | Shimonoseki Yamaguchi, Japan | 29.6 | |
| 162 | Chandigarh Chandigarh, India | 29.5 | |
| 163 | Chiayi City Taiwan, Taiwan | 29.4 | |
| 163 | Onoda Yamaguchi, Japan | 29.4 | |
| 165 | Akola Maharashtra, India | 29.3 | |
| 166 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 29.1 | |
| 166 | Cuttack Odisha, India | 29.1 | |
| 166 | Buxar Bihar, India | 29.1 | |
| 169 | Durgapur West Bengal, India | 29.0 | |
| 169 | Yukuhashi Fukuoka, Japan | 29.0 | |
| 169 | Fukuyama Hiroshima, Japan | 29.0 | |
| 172 | Mifune Kumamoto, Japan | 28.9 | |
| 172 | Casas Adobes Arizona, United States | 28.9 | |
| 174 | Kobayashi Miyazaki, Japan | 28.7 | |
| 175 | Kurayoshi Tottori, Japan | 28.6 | |
| 175 | Kurashiki Okayama, Japan | 28.6 | |
| 175 | Iizuka Fukuoka, Japan | 28.6 | |
| 175 | Munakata Fukuoka, Japan | 28.6 | |
| 179 | Islamabad low-cost sensors Islamabad, Pakistan | 28.5 | |
| 179 | Hagi Yamaguchi, Japan | 28.5 | |
| 179 | Ogōri Fukuoka, Japan | 28.5 | |
| 182 | Higashihiroshima Hiroshima, Japan | 28.2 | |
| 183 | Kitakyushu Fukuoka, Japan | 28.1 | |
| 183 | Kan’onjichō Kagawa, Japan | 28.1 | |
| 185 | Kolhāpur Maharashtra, India | 27.9 | |
| 185 | Fengshan Takao, Taiwan | 27.9 | |
| 187 | Lugu Taiwan, Taiwan | 27.8 | |
| 187 | Hiji Oita, Japan | 27.8 | |
| 189 | Obita Nagasaki, Japan | 27.7 | |
| 189 | Higashigō Saga, Japan | 27.7 | |
| 191 | Takeo Saga, Japan | 27.6 | |
| 191 | Neelankarai Tamil Nadu, India | 27.6 | |
| 191 | Saikai Nagasaki, Japan | 27.6 | |
| 194 | Jabalpur Madhya Pradesh, India | 27.5 | |
| 194 | Ureshinomachi-shimojuku Saga, Japan | 27.5 | |
| 194 | Tottori-shi Tottori, Japan | 27.5 | |
| 194 | Matsue Shimane, Japan | 27.5 | |
| 194 | Beppu Oita, Japan | 27.5 | |
| 199 | Chūru Rajasthan, India | 27.3 | |
| 199 | Ukiha Fukuoka, Japan | 27.3 |
Top 200 of 2,251 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