SmogRank / History / March 5, 2026
Most polluted cities on March 5, 2026
2,281 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 | 217.5 | |
| 2 | Faisalabad low-cost sensors Punjab, Pakistan | 186.5 | |
| 3 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 130.0 | |
| 4 | Lahore low-cost sensors Punjab, Pakistan | 114.0 | |
| 4 | Jalandhar Punjab, India | 114.0 | |
| 6 | Multan low-cost sensors Punjab, Pakistan | 112.5 | |
| 7 | Bahawalpur low-cost sensors Punjab, Pakistan | 109.0 | |
| 7 | Bahadurgarh Haryana, India | 109.0 | |
| 9 | Jammu low-cost sensors Jammu and Kashmir, India | 102.8 | |
| 10 | Gurugram Haryana, India | 102.0 | |
| 11 | Byasanagar Odisha, India | 99.6 | |
| 12 | Agartala Tripura, India | 95.4 | |
| 13 | Sialkot low-cost sensors Punjab, Pakistan | 94.9 | |
| 14 | Angul Odisha, India | 89.4 | |
| 15 | Faridabad Haryana, India | 87.1 | |
| 16 | Baripāda Odisha, India | 86.9 | |
| 17 | Gujranwala low-cost sensors Punjab, Pakistan | 85.1 | |
| 18 | Cuttack Odisha, India | 85.0 | |
| 19 | Lucknow Uttar Pradesh, India | 82.4 | |
| 20 | Thānesar Haryana, India | 80.2 | |
| 20 | Karnāl Haryana, India | 80.2 | |
| 22 | Bhubaneswar Odisha, India | 79.1 | |
| 23 | Yamuna Nagar Haryana, India | 78.3 | |
| 24 | Nalbāri Assam, India | 77.9 | |
| 25 | Muzaffarnagar Uttar Pradesh, India | 77.8 | |
| 26 | Dhāruhera Haryana, India | 77.6 | |
| 27 | Saharsa Bihar, India | 76.5 | |
| 28 | Hājīpur Bihar, India | 76.0 | |
| 29 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 75.8 | |
| 30 | Rānīganj West Bengal, India | 72.7 | |
| 31 | Kolkata West Bengal, India | 72.6 | |
| 32 | Rawalpindi low-cost sensors Punjab, Pakistan | 71.6 | |
| 33 | Sāngli Maharashtra, India | 70.0 | |
| 34 | Sholapur Maharashtra, India | 68.8 | |
| 35 | Shillong Meghalaya, India | 68.7 | |
| 36 | Sonīpat Haryana, India | 67.6 | |
| 36 | Gummidipundi Tamil Nadu, India | 67.6 | |
| 38 | Noida Uttar Pradesh, India | 67.1 | |
| 39 | Baddi Himachal Pradesh, India | 66.4 | |
| 40 | Surat Gujarat, India | 66.2 | |
| 41 | Bhiwāni Haryana, India | 65.9 | |
| 42 | Jīnd Haryana, India | 65.8 | |
| 43 | Târgu Mureş low-cost sensors Mureș County, Romania | 65.4 | |
| 44 | Nagaon Assam, India | 64.0 | |
| 45 | Kampala low-cost sensors Central Region, Uganda | 63.9 | |
| 46 | Āsansol West Bengal, India | 63.7 | |
| 47 | Kathmandu low-cost sensors Bagmati Province, Nepal | 63.5 | |
| 48 | Phuntsholing low-cost sensors Chukha, Bhutan | 63.4 | |
| 49 | Changchun low-cost sensors Jilin, China | 63.0 | |
| 50 | Stodůlky low-cost sensors Prague, Czechia | 62.8 | |
| 50 | Bhiwadi Rajasthan, India | 62.8 | |
| 52 | Mahād Maharashtra, India | 62.7 | |
| 52 | Radomsko Łódź Voivodeship, Poland | 62.7 | |
| 54 | Rairangpur Odisha, India | 62.1 | |
| 55 | Barbil Odisha, India | 61.6 | |
| 56 | Delhi Delhi, India | 61.5 | |
| 57 | Dādri Uttar Pradesh, India | 60.5 | |
| 58 | Tirumala Andhra Pradesh, India | 60.4 | |
| 59 | Arāria Bihar, India | 60.3 | |
| 60 | Narela Delhi, India | 60.1 | |
| 60 | Říčany low-cost sensors Central Bohemia, Czechia | 60.1 | |
| 62 | Rasapūdipalem Andhra Pradesh, India | 59.7 | |
| 63 | Keonjhargarh Odisha, India | 59.4 | |
| 64 | Craiova Dolj, Romania | 59.1 | |
| 64 | Begusarai Bihar, India | 59.1 | |
| 66 | Closepet Karnataka, India | 58.9 | |
| 67 | Uttaradit low-cost sensors Uttaradit, Thailand | 58.8 | |
| 68 | Najafgarh Delhi, India | 58.7 | |
| 69 | Chānda Maharashtra, India | 58.2 | |
| 70 | Belgrade Central Serbia, Serbia | 57.7 | |
| 71 | Hāpur Uttar Pradesh, India | 57.3 | |
| 71 | Bengaluru Karnataka, India | 57.3 | |
| 73 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 56.8 | |
| 73 | Żywiec Silesia, Poland | 56.8 | |
| 75 | Kotli Loharan low-cost sensors Punjab, Pakistan | 56.5 | |
| 76 | Shrīrāmpur West Bengal, India | 56.4 | |
| 77 | Durgapur West Bengal, India | 56.3 | |
| 78 | Ghāziābād Uttar Pradesh, India | 54.9 | |
| 79 | Dushanbe Dushanbe, Tajikistan | 54.8 | |
| 80 | Morādābād Uttar Pradesh, India | 54.6 | |
| 80 | Singrauli Madhya Pradesh, India | 54.6 | |
| 82 | Haldia West Bengal, India | 54.5 | |
| 82 | Łask Łódź Voivodeship, Poland | 54.5 | |
| 84 | Gaya Bihar, India | 53.7 | |
| 85 | Jhālāwār Rajasthan, India | 53.5 | |
| 86 | Jalgaon Maharashtra, India | 53.0 | |
| 86 | Banja Luka Srpska, Bosnia and Herzegovina | 53.0 | |
| 88 | Tetovo Tetovo, North Macedonia | 50.8 | |
| 89 | Talghar low-cost sensors Almaty Region, Kazakhstan | 50.5 | |
| 90 | Kalyān Maharashtra, India | 50.3 | |
| 91 | Otwock Mazovia, Poland | 50.2 | |
| 92 | Kikinda Vojvodina, Serbia | 49.8 | |
| 93 | Bāghpat Uttar Pradesh, India | 49.5 | |
| 93 | Aya Nagar Delhi, India | 49.5 | |
| 95 | Jaipur Rajasthan, India | 49.4 | |
| 96 | Meerut Uttar Pradesh, India | 49.3 | |
| 97 | Rourkela Odisha, India | 49.2 | |
| 98 | Islamabad low-cost sensors Islamabad, Pakistan | 48.7 | |
| 99 | Buftea Ilfov, Romania | 48.3 | |
| 100 | Chittorgarh Rajasthan, India | 48.0 | |
| 101 | Zgierz Łódź Voivodeship, Poland | 47.8 | |
| 102 | Hyderabad Telangana, India | 47.3 | |
| 103 | Tirupati Andhra Pradesh, India | 47.1 | |
| 103 | Patna Bihar, India | 47.1 | |
| 103 | Gwalior Madhya Pradesh, India | 47.1 | |
| 106 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 46.9 | |
| 106 | Tonk Rajasthan, India | 46.9 | |
| 108 | South Lake Tahoe California, United States | 46.5 | |
| 109 | Cambridge low-cost sensors England, United Kingdom | 46.1 | |
| 110 | Ropar Punjab, India | 46.0 | |
| 111 | Indore Madhya Pradesh, India | 45.9 | |
| 112 | Chandigarh Chandigarh, India | 45.8 | |
| 113 | Latur Maharashtra, India | 45.0 | |
| 114 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 44.6 | |
| 115 | Wadgaon Kolhati Maharashtra, India | 44.5 | |
| 116 | Gorzów Wielkopolski Lubusz, Poland | 44.4 | |
| 117 | Ruse Ruse, Bulgaria | 44.3 | |
| 118 | Ambāla Haryana, India | 44.2 | |
| 119 | Calafat Dolj, Romania | 44.1 | |
| 119 | Sai Mai low-cost sensors Bangkok, Thailand | 44.1 | |
| 121 | Badlapur Maharashtra, India | 43.9 | |
| 121 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 43.9 | |
| 123 | Timişoara Timiș County, Romania | 43.8 | |
| 124 | Anantapur Andhra Pradesh, India | 43.4 | |
| 125 | Piteşti Arges, Romania | 43.3 | |
| 125 | Chikmagalūr Karnataka, India | 43.3 | |
| 127 | Kaithal Haryana, India | 43.2 | |
| 128 | Voluntari Ilfov, Romania | 43.1 | |
| 128 | Bangkok low-cost sensors Bangkok, Thailand | 43.1 | |
| 128 | Lugano Ticino, Switzerland | 43.1 | |
| 131 | Dhule Maharashtra, India | 42.9 | |
| 132 | Chennai Tamil Nadu, India | 42.8 | |
| 132 | Akola Maharashtra, India | 42.8 | |
| 134 | Amaravati Andhra Pradesh, India | 42.7 | |
| 135 | Pimpri-Chinchwad Maharashtra, India | 42.6 | |
| 136 | Târgu Jiu Gorj County, Romania | 42.3 | |
| 137 | Kłodzko Lower Silesia, Poland | 42.0 | |
| 138 | Almaty low-cost sensors Almaty, Kazakhstan | 41.6 | |
| 139 | Serilingampalle Telangana, India | 41.5 | |
| 140 | Prague Prague, Czechia | 41.4 | |
| 141 | Popeşti-Leordeni Ilfov, Romania | 40.8 | |
| 141 | Boisar Maharashtra, India | 40.8 | |
| 143 | Dej Cluj County, Romania | 40.7 | |
| 144 | Chāpra Bihar, India | 40.6 | |
| 144 | Bijelo Polje Bijelo Polje, Montenegro | 40.6 | |
| 146 | Bhelai Chhattisgarh, India | 40.5 | |
| 146 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 40.5 | |
| 146 | Haarlem low-cost sensors North Holland, The Netherlands | 40.5 | |
| 149 | Kanpur Uttar Pradesh, India | 40.3 | |
| 150 | Kumanovo Kumanovo, North Macedonia | 40.1 | |
| 151 | Aurangabad Maharashtra, India | 39.9 | |
| 151 | Ajmer Rajasthan, India | 39.9 | |
| 153 | Bucharest Bucharest, Romania | 39.7 | |
| 153 | Vijayawada Andhra Pradesh, India | 39.7 | |
| 155 | Wheaton low-cost sensors Illinois, United States | 39.4 | |
| 156 | Kharghar Maharashtra, India | 39.3 | |
| 157 | Ohrid Ohrid, North Macedonia | 39.0 | |
| 157 | Bitola Bitola, North Macedonia | 39.0 | |
| 159 | Coimbatore Tamil Nadu, India | 38.7 | |
| 159 | Joda Odisha, India | 38.7 | |
| 161 | Podgorica Podgorica, Montenegro | 38.4 | |
| 162 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 38.3 | |
| 163 | Nanded Maharashtra, India | 38.2 | |
| 163 | Jastrzębie Zdrój Silesia, Poland | 38.2 | |
| 165 | Győr Győr-Moson-Sopron, Hungary | 38.1 | |
| 166 | Kolhāpur Maharashtra, India | 37.9 | |
| 166 | les Escaldes Escaldes-Engordany, Andorra | 37.9 | |
| 168 | Tarnów Lesser Poland, Poland | 37.7 | |
| 168 | Bellinzona Ticino, Switzerland | 37.7 | |
| 170 | Burunday low-cost sensors Almaty Region, Kazakhstan | 37.5 | |
| 170 | Greater Noida Uttar Pradesh, India | 37.5 | |
| 172 | Nashik Maharashtra, India | 37.4 | |
| 173 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 37.3 | |
| 173 | Fengshan Takao, Taiwan | 37.3 | |
| 175 | Bhiwandi Maharashtra, India | 37.2 | |
| 176 | Dimitrovgrad low-cost sensors Haskovo, Bulgaria | 37.1 | |
| 176 | Włocławek Kujawsko-Pomorskie, Poland | 37.1 | |
| 178 | Panvel Maharashtra, India | 36.9 | |
| 179 | Siwān Bihar, India | 36.4 | |
| 179 | Czechowice-Dziedzice Silesia, Poland | 36.4 | |
| 181 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 36.2 | |
| 181 | Winterthur low-cost sensors Zurich, Switzerland | 36.2 | |
| 183 | Jihlava Vysocina, Czechia | 36.1 | |
| 184 | Bettiah Bihar, India | 35.9 | |
| 185 | Kardítsa Thessaly, Greece | 35.8 | |
| 185 | Lagos low-cost sensors Lagos, Nigeria | 35.8 | |
| 185 | Zacatepec de Hidalgo Morelos, Mexico | 35.8 | |
| 188 | Rājgīr Bihar, India | 35.7 | |
| 189 | Pune Maharashtra, India | 35.6 | |
| 189 | Leeds England, United Kingdom | 35.6 | |
| 189 | Neelankarai Tamil Nadu, India | 35.6 | |
| 192 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 35.5 | |
| 192 | Kota Rajasthan, India | 35.5 | |
| 194 | Esztergom Komárom-Esztergom, Hungary | 35.3 | |
| 194 | Kalisz Greater Poland, Poland | 35.3 | |
| 196 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 35.1 | |
| 197 | Tríkala Thessaly, Greece | 35.0 | |
| 197 | Żary Lubusz, Poland | 35.0 | |
| 199 | Hayes England, United Kingdom | 34.8 | |
| 200 | Patiāla Punjab, India | 34.7 |
Top 200 of 2,281 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