SmogRank / History / April 1, 2026
Most polluted cities on April 1, 2026
2,339 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 165.0 | |
| 2 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 138.0 | |
| 3 | Bhelai Chhattisgarh, India | 104.0 | |
| 4 | Uttaradit low-cost sensors Uttaradit, Thailand | 101.0 | |
| 5 | Singrauli Madhya Pradesh, India | 94.5 | |
| 6 | Hājīpur Bihar, India | 92.3 | |
| 7 | Keonjhargarh Odisha, India | 83.1 | |
| 7 | Faridabad Haryana, India | 83.1 | |
| 9 | Jalgaon Maharashtra, India | 78.5 | |
| 10 | Sonīpat Haryana, India | 72.2 | |
| 11 | Arāria Bihar, India | 70.2 | |
| 12 | Byasanagar Odisha, India | 69.3 | |
| 13 | Gurugram Haryana, India | 69.1 | |
| 14 | Mangaluru Karnataka, India | 66.5 | |
| 15 | Joda Odisha, India | 66.4 | |
| 16 | Angul Odisha, India | 65.6 | |
| 17 | Bhiwāni Haryana, India | 65.0 | |
| 18 | Yamuna Nagar Haryana, India | 61.4 | |
| 19 | Parbhani Maharashtra, India | 60.6 | |
| 20 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 60.5 | |
| 21 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 60.2 | |
| 22 | Noida Uttar Pradesh, India | 59.4 | |
| 23 | Muzaffarnagar Uttar Pradesh, India | 55.9 | |
| 24 | Barbil Odisha, India | 52.5 | |
| 25 | Irákleion Crete, Greece | 52.4 | |
| 26 | Rourkela Odisha, India | 50.9 | |
| 26 | Gummidipundi Tamil Nadu, India | 50.9 | |
| 28 | Patna Bihar, India | 50.4 | |
| 29 | Baddi Himachal Pradesh, India | 49.6 | |
| 30 | Ghāziābād Uttar Pradesh, India | 49.4 | |
| 31 | Chānda Maharashtra, India | 49.2 | |
| 32 | Dhāruhera Haryana, India | 49.1 | |
| 33 | Hāpur Uttar Pradesh, India | 48.5 | |
| 34 | Changchun low-cost sensors Jilin, China | 48.3 | |
| 35 | Dera Māndi Delhi, India | 48.2 | |
| 36 | Arrah Bihar, India | 48.1 | |
| 37 | Undera Gujarat, India | 47.9 | |
| 38 | Narela Delhi, India | 47.7 | |
| 39 | Delhi Delhi, India | 46.8 | |
| 39 | Łask Łódź Voivodeship, Poland | 46.8 | |
| 41 | Greater Noida Uttar Pradesh, India | 46.5 | |
| 42 | Agartala Tripura, India | 46.4 | |
| 43 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 46.3 | |
| 44 | Bahawalpur low-cost sensors Punjab, Pakistan | 45.2 | |
| 45 | Nagpur Maharashtra, India | 45.0 | |
| 46 | Dhule Maharashtra, India | 44.9 | |
| 47 | Burunday low-cost sensors Almaty Region, Kazakhstan | 44.7 | |
| 48 | Jammu low-cost sensors Jammu and Kashmir, India | 44.6 | |
| 49 | Sholapur Maharashtra, India | 44.2 | |
| 49 | Nanded Maharashtra, India | 44.2 | |
| 49 | Baripāda Odisha, India | 44.2 | |
| 52 | Akola Maharashtra, India | 44.1 | |
| 53 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 43.7 | |
| 54 | Bhiwadi Rajasthan, India | 43.4 | |
| 55 | Lagos low-cost sensors Lagos, Nigeria | 42.0 | |
| 56 | Rawalpindi low-cost sensors Punjab, Pakistan | 41.8 | |
| 56 | Hyderabad Telangana, India | 41.8 | |
| 58 | Kampala low-cost sensors Central Region, Uganda | 41.6 | |
| 58 | Faisalabad low-cost sensors Punjab, Pakistan | 41.6 | |
| 60 | Kadapa Andhra Pradesh, India | 41.4 | |
| 61 | Meerut Uttar Pradesh, India | 41.2 | |
| 61 | Begusarai Bihar, India | 41.2 | |
| 63 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 40.8 | |
| 64 | Indore Madhya Pradesh, India | 40.7 | |
| 65 | Lahore low-cost sensors Punjab, Pakistan | 40.6 | |
| 66 | Târgu Mureş low-cost sensors Mureș County, Romania | 40.3 | |
| 67 | Panchkula Haryana, India | 39.9 | |
| 68 | Karnāl Haryana, India | 39.8 | |
| 69 | Phuntsholing low-cost sensors Chukha, Bhutan | 39.4 | |
| 70 | Siwān Bihar, India | 38.9 | |
| 71 | Shrīrāmpur West Bengal, India | 38.4 | |
| 72 | Jharia Jharkhand, India | 38.3 | |
| 72 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 38.3 | |
| 74 | Chaniá Crete, Greece | 38.2 | |
| 75 | Ambāla Haryana, India | 38.1 | |
| 76 | Nashik Maharashtra, India | 37.7 | |
| 77 | Thānesar Haryana, India | 37.6 | |
| 77 | Bhubaneswar Odisha, India | 37.6 | |
| 79 | Gujranwala low-cost sensors Punjab, Pakistan | 37.4 | |
| 79 | Closepet Karnataka, India | 37.4 | |
| 81 | Cuttack Odisha, India | 37.3 | |
| 82 | Yadgir Karnataka, India | 36.8 | |
| 83 | Najafgarh Delhi, India | 36.7 | |
| 84 | Kathmandu low-cost sensors Bagmati Province, Nepal | 36.6 | |
| 85 | Gaya Bihar, India | 36.2 | |
| 85 | Banja Luka Srpska, Bosnia and Herzegovina | 36.2 | |
| 87 | Latur Maharashtra, India | 36.0 | |
| 87 | Durgapur West Bengal, India | 36.0 | |
| 89 | Quezon City low-cost sensors National Capital Region, Philippines | 35.8 | |
| 90 | Āsansol West Bengal, India | 35.3 | |
| 91 | Aurangabad Maharashtra, India | 35.2 | |
| 92 | Ajmer Rajasthan, India | 34.9 | |
| 93 | Pune Maharashtra, India | 34.8 | |
| 93 | Talghar low-cost sensors Almaty Region, Kazakhstan | 34.8 | |
| 93 | Sai Mai low-cost sensors Bangkok, Thailand | 34.8 | |
| 96 | Kolkata West Bengal, India | 34.5 | |
| 96 | Bhopal Madhya Pradesh, India | 34.5 | |
| 98 | Thāne Maharashtra, India | 34.3 | |
| 99 | Bāghpat Uttar Pradesh, India | 34.2 | |
| 100 | Badlapur Maharashtra, India | 33.4 | |
| 101 | Obrenovac Central Serbia, Serbia | 33.3 | |
| 101 | Sukuta low-cost sensors Western, Gambia | 33.3 | |
| 103 | Żywiec Silesia, Poland | 33.2 | |
| 104 | Chittorgarh Rajasthan, India | 33.1 | |
| 105 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 33.0 | |
| 106 | Rānīganj West Bengal, India | 32.9 | |
| 106 | Haldia West Bengal, India | 32.9 | |
| 108 | Vijayawada Andhra Pradesh, India | 32.8 | |
| 108 | Dakar low-cost sensors Dakar, Senegal | 32.8 | |
| 108 | Santa Anita - Los Ficus Lima region, Peru | 32.8 | |
| 111 | Almaty low-cost sensors Almaty, Kazakhstan | 32.6 | |
| 112 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 32.5 | |
| 113 | Jaipur Rajasthan, India | 31.8 | |
| 114 | Bangkok low-cost sensors Bangkok, Thailand | 31.5 | |
| 115 | San Luis Potosí San Luis Potosí, Mexico | 31.3 | |
| 116 | Rājgīr Bihar, India | 31.2 | |
| 117 | Multan low-cost sensors Punjab, Pakistan | 31.0 | |
| 118 | Gwalior Madhya Pradesh, India | 30.9 | |
| 119 | Islamabad low-cost sensors Islamabad, Pakistan | 30.8 | |
| 120 | Sāngli Maharashtra, India | 30.6 | |
| 120 | Bānswāra Rajasthan, India | 30.6 | |
| 122 | Kalyān Maharashtra, India | 30.3 | |
| 122 | Bhiwandi Maharashtra, India | 30.3 | |
| 124 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 30.2 | |
| 125 | Jīnd Haryana, India | 29.7 | |
| 126 | Chittoor Andhra Pradesh, India | 29.6 | |
| 127 | Sialkot low-cost sensors Punjab, Pakistan | 29.5 | |
| 127 | Surat Gujarat, India | 29.5 | |
| 127 | Ahmedabad Gujarat, India | 29.5 | |
| 127 | Xonacatlán México, Mexico | 29.5 | |
| 131 | Bhāgalpur Bihar, India | 29.4 | |
| 131 | Kalisz Greater Poland, Poland | 29.4 | |
| 133 | Bengaluru Karnataka, India | 29.2 | |
| 134 | Quthbullapur Telangana, India | 28.9 | |
| 135 | Lucknow Uttar Pradesh, India | 28.8 | |
| 135 | Jalandhar Punjab, India | 28.8 | |
| 137 | Tonk Rajasthan, India | 28.6 | |
| 138 | Thiès low-cost sensors Thies, Senegal | 28.5 | |
| 139 | Bārān Rajasthan, India | 28.4 | |
| 140 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 28.3 | |
| 141 | Tirupati Andhra Pradesh, India | 28.1 | |
| 142 | Bitola Bitola, North Macedonia | 28.0 | |
| 143 | Tirumala Andhra Pradesh, India | 27.9 | |
| 144 | Silchar Assam, India | 27.8 | |
| 144 | Jhālāwār Rajasthan, India | 27.8 | |
| 146 | Tetovo Tetovo, North Macedonia | 27.5 | |
| 146 | Rasapūdipalem Andhra Pradesh, India | 27.5 | |
| 146 | Mahād Maharashtra, India | 27.5 | |
| 146 | Callao Callao, Peru | 27.5 | |
| 150 | Ashaiman low-cost sensors Greater Accra, Ghana | 27.4 | |
| 150 | Pimpri-Chinchwad Maharashtra, India | 27.4 | |
| 152 | Gorzów Wielkopolski Lubusz, Poland | 27.3 | |
| 153 | Bikaner Rajasthan, India | 26.9 | |
| 153 | Amravati Maharashtra, India | 26.9 | |
| 153 | San Francisco De Borja Lima region, Peru | 26.9 | |
| 156 | Ankleshwar Gujarat, India | 26.8 | |
| 157 | Hacienda Santa Fe Jalisco, Mexico | 26.4 | |
| 158 | Lima Lima Province, Peru | 26.1 | |
| 158 | Vapi Gujarat, India | 26.1 | |
| 160 | Bijelo Polje Bijelo Polje, Montenegro | 25.9 | |
| 161 | Chihuahua Chihuahua, Mexico | 25.8 | |
| 161 | Neelankarai Tamil Nadu, India | 25.8 | |
| 163 | Niš Central Serbia, Serbia | 25.7 | |
| 163 | Gevgelija Gevgelija, North Macedonia | 25.7 | |
| 165 | Nagaon Assam, India | 25.6 | |
| 166 | Kłodzko Lower Silesia, Poland | 25.5 | |
| 167 | Sirsa Haryana, India | 25.4 | |
| 168 | Chūru Rajasthan, India | 25.3 | |
| 169 | Coimbatore Tamil Nadu, India | 25.1 | |
| 169 | Dunkirk Hauts-de-France, France | 25.1 | |
| 171 | Fengshan Takao, Taiwan | 25.0 | |
| 171 | Ciudad General Escobedo Nuevo León, Mexico | 25.0 | |
| 173 | Virār Maharashtra, India | 24.9 | |
| 173 | Tuxtla Chiapas, Mexico | 24.9 | |
| 175 | Kalaburagi Karnataka, India | 24.8 | |
| 176 | Pratāpgarh Rajasthan, India | 24.5 | |
| 176 | Panvel Maharashtra, India | 24.5 | |
| 178 | Douliu Taiwan, Taiwan | 24.4 | |
| 179 | Zhushan Taiwan, Taiwan | 24.2 | |
| 180 | Tema low-cost sensors Greater Accra, Ghana | 24.1 | |
| 181 | Beirut low-cost sensors Beirut, Lebanon | 23.9 | |
| 181 | Aguascalientes Aguascalientes, Mexico | 23.9 | |
| 181 | Calexico California, United States | 23.9 | |
| 184 | Chiayi City Taiwan, Taiwan | 23.6 | |
| 184 | Iloilo low-cost sensors Western Visayas, Philippines | 23.6 | |
| 184 | Abasolo Guanajuato, Mexico | 23.6 | |
| 187 | Tainan Taiwan, Taiwan | 23.4 | |
| 188 | San Francisco Tlalcilalcalpan México, Mexico | 23.3 | |
| 189 | Wan Chai Wan Chai, Hong Kong | 23.2 | |
| 189 | Bydgoszcz Kujawsko-Pomorskie, Poland | 23.2 | |
| 191 | Chaozhou Taiwan, Taiwan | 22.9 | |
| 191 | Ziguinchor low-cost sensors Ziguinchor, Senegal | 22.9 | |
| 191 | Kharghar Maharashtra, India | 22.9 | |
| 194 | Yongkang Taiwan, Taiwan | 22.8 | |
| 195 | Nilópolis Rio de Janeiro, Brazil | 22.6 | |
| 195 | Naharlagun Arunachal Pradesh, India | 22.6 | |
| 197 | Serilingampalle Telangana, India | 22.5 | |
| 198 | Smederevo Central Serbia, Serbia | 22.4 | |
| 198 | Jhunjhunūn Rajasthan, India | 22.4 | |
| 198 | Saint-Louis low-cost sensors Saint-Louis, Senegal | 22.4 |
Top 200 of 2,339 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