SmogRank / History / March 4, 2026
Most polluted cities on March 4, 2026
2,274 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 200.0 | |
| 2 | Faisalabad low-cost sensors Punjab, Pakistan | 144.0 | |
| 3 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 140.0 | |
| 4 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 129.0 | |
| 5 | Lahore low-cost sensors Punjab, Pakistan | 123.0 | |
| 6 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 120.5 | |
| 7 | Agartala Tripura, India | 111.0 | |
| 8 | Bahadurgarh Haryana, India | 110.0 | |
| 9 | Gujranwala low-cost sensors Punjab, Pakistan | 105.0 | |
| 10 | Gurugram Haryana, India | 103.0 | |
| 10 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 103.0 | |
| 12 | Byasanagar Odisha, India | 98.7 | |
| 13 | Faridabad Haryana, India | 98.6 | |
| 14 | Angul Odisha, India | 95.0 | |
| 15 | Pécs Baranya, Hungary | 94.7 | |
| 16 | Sialkot low-cost sensors Punjab, Pakistan | 92.2 | |
| 17 | Dhāruhera Haryana, India | 90.0 | |
| 18 | Multan low-cost sensors Punjab, Pakistan | 89.1 | |
| 19 | Saharsa Bihar, India | 88.9 | |
| 20 | Cuttack Odisha, India | 87.8 | |
| 21 | Jammu low-cost sensors Jammu and Kashmir, India | 86.3 | |
| 22 | Bahawalpur low-cost sensors Punjab, Pakistan | 85.2 | |
| 23 | Thānesar Haryana, India | 83.8 | |
| 24 | Surat Gujarat, India | 80.7 | |
| 25 | Bengaluru Karnataka, India | 78.9 | |
| 26 | Yamuna Nagar Haryana, India | 78.2 | |
| 27 | Karnāl Haryana, India | 76.4 | |
| 27 | Aguascalientes Aguascalientes, Mexico | 76.4 | |
| 29 | Gummidipundi Tamil Nadu, India | 76.3 | |
| 30 | Craiova Dolj, Romania | 76.0 | |
| 31 | Kikinda Vojvodina, Serbia | 75.7 | |
| 32 | Hājīpur Bihar, India | 75.4 | |
| 33 | Sirsa Haryana, India | 72.6 | |
| 33 | Dādri Uttar Pradesh, India | 72.6 | |
| 35 | Narela Delhi, India | 72.5 | |
| 36 | Haldia West Bengal, India | 72.1 | |
| 37 | Belgrade Central Serbia, Serbia | 71.9 | |
| 38 | Ankleshwar Gujarat, India | 71.8 | |
| 39 | Târgu Mureş low-cost sensors Mureș County, Romania | 71.5 | |
| 40 | Bhubaneswar Odisha, India | 70.9 | |
| 41 | Chānda Maharashtra, India | 70.8 | |
| 42 | Bijelo Polje Bijelo Polje, Montenegro | 70.2 | |
| 43 | Jīnd Haryana, India | 70.1 | |
| 44 | Banja Luka Srpska, Bosnia and Herzegovina | 70.0 | |
| 45 | Lucknow Uttar Pradesh, India | 69.8 | |
| 46 | Radomsko Łódź Voivodeship, Poland | 69.6 | |
| 47 | Rawalpindi low-cost sensors Punjab, Pakistan | 69.4 | |
| 48 | Bhiwadi Rajasthan, India | 69.1 | |
| 49 | Kolkata West Bengal, India | 68.6 | |
| 50 | Calafat Dolj, Romania | 68.1 | |
| 51 | Barbil Odisha, India | 67.8 | |
| 52 | Muzaffarnagar Uttar Pradesh, India | 67.7 | |
| 52 | Noida Uttar Pradesh, India | 67.7 | |
| 54 | Baddi Himachal Pradesh, India | 67.6 | |
| 55 | Nagaon Assam, India | 67.0 | |
| 56 | Sonīpat Haryana, India | 66.9 | |
| 57 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 66.0 | |
| 58 | Kathmandu low-cost sensors Bagmati Province, Nepal | 65.7 | |
| 59 | Begusarai Bihar, India | 65.6 | |
| 60 | Delhi Delhi, India | 65.2 | |
| 61 | Singrauli Madhya Pradesh, India | 65.0 | |
| 62 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 64.2 | |
| 63 | Naharlagun Arunachal Pradesh, India | 63.2 | |
| 64 | Uttaradit low-cost sensors Uttaradit, Thailand | 61.8 | |
| 65 | Târgu Jiu Gorj County, Romania | 61.1 | |
| 65 | Tirumala Andhra Pradesh, India | 61.1 | |
| 67 | Mahād Maharashtra, India | 60.9 | |
| 68 | Żywiec Silesia, Poland | 60.5 | |
| 69 | Hāpur Uttar Pradesh, India | 60.1 | |
| 70 | Baripāda Odisha, India | 59.8 | |
| 71 | Sāngli Maharashtra, India | 59.5 | |
| 72 | Phuntsholing low-cost sensors Chukha, Bhutan | 58.4 | |
| 72 | Shillong Meghalaya, India | 58.4 | |
| 74 | Bāghpat Uttar Pradesh, India | 57.7 | |
| 75 | Najafgarh Delhi, India | 57.3 | |
| 76 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 56.4 | |
| 77 | Rānīganj West Bengal, India | 56.2 | |
| 78 | Akola Maharashtra, India | 56.1 | |
| 79 | Sholapur Maharashtra, India | 56.0 | |
| 80 | Shrīrāmpur West Bengal, India | 55.7 | |
| 81 | Closepet Karnataka, India | 55.5 | |
| 81 | Jhālāwār Rajasthan, India | 55.5 | |
| 81 | Zgierz Łódź Voivodeship, Poland | 55.5 | |
| 84 | Kotli Loharan low-cost sensors Punjab, Pakistan | 55.2 | |
| 85 | Ohrid Ohrid, North Macedonia | 54.9 | |
| 86 | Říčany low-cost sensors Central Bohemia, Czechia | 54.5 | |
| 87 | Kalyān Maharashtra, India | 54.4 | |
| 88 | Stodůlky low-cost sensors Prague, Czechia | 53.7 | |
| 89 | Kłodzko Lower Silesia, Poland | 53.5 | |
| 90 | Bhiwāni Haryana, India | 53.3 | |
| 91 | Arāria Bihar, India | 52.4 | |
| 92 | Dushanbe Dushanbe, Tajikistan | 52.2 | |
| 93 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 52.1 | |
| 94 | Gandhinagar Gujarat, India | 52.0 | |
| 95 | Łask Łódź Voivodeship, Poland | 51.9 | |
| 96 | Kumanovo Kumanovo, North Macedonia | 51.4 | |
| 97 | Tetovo Tetovo, North Macedonia | 51.3 | |
| 98 | Ghāziābād Uttar Pradesh, India | 51.1 | |
| 98 | Joda Odisha, India | 51.1 | |
| 100 | Aya Nagar Delhi, India | 50.7 | |
| 101 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 50.6 | |
| 101 | Pljevlja Pljevlja, Montenegro | 50.6 | |
| 103 | Podgorica Podgorica, Montenegro | 50.3 | |
| 104 | Meerut Uttar Pradesh, India | 50.0 | |
| 105 | Burunday low-cost sensors Almaty Region, Kazakhstan | 49.9 | |
| 106 | Otwock Mazovia, Poland | 49.8 | |
| 107 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 49.6 | |
| 108 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 49.5 | |
| 109 | Jalgaon Maharashtra, India | 49.4 | |
| 109 | Buxar Bihar, India | 49.4 | |
| 111 | Rourkela Odisha, India | 49.3 | |
| 112 | Patna Bihar, India | 49.2 | |
| 113 | Jaipur Rajasthan, India | 48.9 | |
| 114 | Pimpri-Chinchwad Maharashtra, India | 48.8 | |
| 115 | Indore Madhya Pradesh, India | 48.7 | |
| 116 | Āsansol West Bengal, India | 48.4 | |
| 117 | Islamabad low-cost sensors Islamabad, Pakistan | 48.2 | |
| 118 | Krosno Subcarpathia, Poland | 47.9 | |
| 118 | Rairangpur Odisha, India | 47.9 | |
| 120 | Kharghar Maharashtra, India | 47.5 | |
| 121 | Dej Cluj County, Romania | 47.0 | |
| 122 | Tarnów Lesser Poland, Poland | 46.8 | |
| 123 | Bhayandar Maharashtra, India | 46.4 | |
| 124 | Changchun low-cost sensors Jilin, China | 46.3 | |
| 124 | South Lake Tahoe California, United States | 46.3 | |
| 126 | Ahmedabad Gujarat, India | 45.8 | |
| 127 | Kaithal Haryana, India | 45.5 | |
| 128 | Gevgelija Gevgelija, North Macedonia | 45.4 | |
| 128 | Kadapa Andhra Pradesh, India | 45.4 | |
| 130 | Czechowice-Dziedzice Silesia, Poland | 45.0 | |
| 131 | Gaya Bihar, India | 44.5 | |
| 132 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 44.2 | |
| 133 | Chittorgarh Rajasthan, India | 44.0 | |
| 133 | Talghar low-cost sensors Almaty Region, Kazakhstan | 44.0 | |
| 135 | Tríkala Thessaly, Greece | 43.9 | |
| 136 | Bitola Bitola, North Macedonia | 43.8 | |
| 136 | Bhiwandi Maharashtra, India | 43.8 | |
| 136 | Gyál Pest County, Hungary | 43.8 | |
| 139 | Voluntari Ilfov, Romania | 43.7 | |
| 139 | Nashik Maharashtra, India | 43.7 | |
| 139 | Chandigarh Chandigarh, India | 43.7 | |
| 142 | Kavadarci Kavadarci, North Macedonia | 43.5 | |
| 143 | Buftea Ilfov, Romania | 43.4 | |
| 144 | Keonjhargarh Odisha, India | 43.3 | |
| 145 | Chennai Tamil Nadu, India | 43.1 | |
| 146 | Kielce Świętokrzyskie, Poland | 43.0 | |
| 147 | Znojmo South Moravian, Czechia | 42.9 | |
| 148 | Latur Maharashtra, India | 42.6 | |
| 149 | Codlea Brașov County, Romania | 42.3 | |
| 149 | Wheaton low-cost sensors Illinois, United States | 42.3 | |
| 149 | Sai Mai low-cost sensors Bangkok, Thailand | 42.3 | |
| 152 | Badlapur Maharashtra, India | 42.1 | |
| 153 | Kardítsa Thessaly, Greece | 42.0 | |
| 154 | Greater Noida Uttar Pradesh, India | 41.9 | |
| 155 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 41.8 | |
| 156 | Jodhpur Rajasthan, India | 41.6 | |
| 156 | Neelankarai Tamil Nadu, India | 41.6 | |
| 158 | Almaty low-cost sensors Almaty, Kazakhstan | 41.4 | |
| 159 | Tirupati Andhra Pradesh, India | 41.3 | |
| 159 | Panvel Maharashtra, India | 41.3 | |
| 161 | Virār Maharashtra, India | 41.2 | |
| 161 | Ambāla Haryana, India | 41.2 | |
| 163 | Pune Maharashtra, India | 41.1 | |
| 163 | Gwalior Madhya Pradesh, India | 41.1 | |
| 163 | Boisar Maharashtra, India | 41.1 | |
| 166 | Ropar Punjab, India | 40.7 | |
| 167 | Sīkar Rajasthan, India | 40.4 | |
| 168 | Hyderabad Telangana, India | 40.3 | |
| 169 | Nagpur Maharashtra, India | 40.0 | |
| 170 | Durgapur West Bengal, India | 39.9 | |
| 171 | Nanded Maharashtra, India | 39.8 | |
| 171 | Nāgaur Rajasthan, India | 39.8 | |
| 173 | Tonk Rajasthan, India | 39.6 | |
| 173 | Morādābād Uttar Pradesh, India | 39.6 | |
| 173 | Nikšić Opština Nikšić, Montenegro | 39.6 | |
| 176 | Dębica Subcarpathia, Poland | 39.4 | |
| 176 | Patiāla Punjab, India | 39.4 | |
| 176 | Jalandhar Punjab, India | 39.4 | |
| 176 | Coimbatore Tamil Nadu, India | 39.4 | |
| 176 | Bangkok low-cost sensors Bangkok, Thailand | 39.4 | |
| 176 | Lagos low-cost sensors Lagos, Nigeria | 39.4 | |
| 176 | Serilingampalle Telangana, India | 39.4 | |
| 183 | Kolhāpur Maharashtra, India | 39.3 | |
| 184 | Travnik Federation of B&H, Bosnia and Herzegovina | 39.1 | |
| 185 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 39.0 | |
| 185 | Győr Győr-Moson-Sopron, Hungary | 39.0 | |
| 187 | Jalor Rajasthan, India | 38.9 | |
| 188 | Ajmer Rajasthan, India | 38.8 | |
| 189 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 38.7 | |
| 190 | Karachi low-cost sensors Sindh, Pakistan | 38.5 | |
| 191 | Nisko Subcarpathia, Poland | 38.4 | |
| 191 | Mumbai Maharashtra, India | 38.4 | |
| 191 | Bhilwara Rajasthan, India | 38.4 | |
| 194 | Dūngarpur Rajasthan, India | 38.3 | |
| 195 | Amaravati Andhra Pradesh, India | 38.2 | |
| 196 | Timişoara Timiș County, Romania | 38.1 | |
| 197 | Vienna Vienna, Austria | 37.8 | |
| 198 | Hamilton Ontario, Canada | 37.6 | |
| 199 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 37.5 | |
| 199 | Jastrzębie Zdrój Silesia, Poland | 37.5 |
Top 200 of 2,274 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