SmogRank / History / February 28, 2026
Most polluted cities on February 28, 2026
2,278 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 | 377.0 | |
| 2 | Gurugram Haryana, India | 193.0 | |
| 3 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 190.0 | |
| 4 | Faisalabad low-cost sensors Punjab, Pakistan | 183.5 | |
| 5 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 168.0 | |
| 6 | Faridabad Haryana, India | 130.3 | |
| 7 | Lahore low-cost sensors Punjab, Pakistan | 130.0 | |
| 7 | Dādri Uttar Pradesh, India | 130.0 | |
| 9 | Bahawalpur low-cost sensors Punjab, Pakistan | 124.0 | |
| 10 | Noida Uttar Pradesh, India | 116.0 | |
| 11 | Narela Delhi, India | 115.0 | |
| 12 | Kampala low-cost sensors Central Region, Uganda | 114.5 | |
| 13 | Karonga low-cost sensors Northern Region, Malawi | 114.4 | |
| 14 | Gummidipundi Tamil Nadu, India | 114.0 | |
| 15 | Multan low-cost sensors Punjab, Pakistan | 110.5 | |
| 16 | Bahadurgarh Haryana, India | 110.0 | |
| 17 | Dhāruhera Haryana, India | 107.0 | |
| 17 | Bhiwadi Rajasthan, India | 107.0 | |
| 19 | Yamuna Nagar Haryana, India | 105.0 | |
| 20 | Bhelai Chhattisgarh, India | 101.0 | |
| 21 | Angul Odisha, India | 96.0 | |
| 22 | Agartala Tripura, India | 93.5 | |
| 23 | Delhi Delhi, India | 91.1 | |
| 24 | Gujranwala low-cost sensors Punjab, Pakistan | 90.0 | |
| 25 | Greater Noida Uttar Pradesh, India | 86.4 | |
| 26 | Singrauli Madhya Pradesh, India | 85.2 | |
| 27 | Sialkot low-cost sensors Punjab, Pakistan | 83.8 | |
| 28 | Bāghpat Uttar Pradesh, India | 83.1 | |
| 29 | Thānesar Haryana, India | 82.5 | |
| 30 | Najafgarh Delhi, India | 82.3 | |
| 31 | Phuntsholing low-cost sensors Chukha, Bhutan | 81.7 | |
| 31 | Tuxtla Chiapas, Mexico | 81.7 | |
| 33 | Durgapur West Bengal, India | 81.4 | |
| 34 | Ghāziābād Uttar Pradesh, India | 80.6 | |
| 35 | Lucknow Uttar Pradesh, India | 80.0 | |
| 36 | Palembang low-cost sensors South Sumatra, Indonesia | 78.0 | |
| 37 | Nagpur Maharashtra, India | 73.2 | |
| 38 | Banja Luka Srpska, Bosnia and Herzegovina | 73.0 | |
| 39 | Kathmandu low-cost sensors Bagmati Province, Nepal | 72.9 | |
| 40 | Jīnd Haryana, India | 72.6 | |
| 41 | Târgu Mureş low-cost sensors Mureș County, Romania | 71.2 | |
| 42 | Jammu low-cost sensors Jammu and Kashmir, India | 70.5 | |
| 43 | Hājīpur Bihar, India | 69.5 | |
| 44 | Meerut Uttar Pradesh, India | 68.6 | |
| 45 | Aya Nagar Delhi, India | 68.5 | |
| 46 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 67.8 | |
| 47 | Baddi Himachal Pradesh, India | 67.6 | |
| 48 | Cuttack Odisha, India | 66.8 | |
| 49 | Muzaffarnagar Uttar Pradesh, India | 66.1 | |
| 50 | Chennai Tamil Nadu, India | 66.0 | |
| 51 | Byasanagar Odisha, India | 64.1 | |
| 52 | Karnāl Haryana, India | 64.0 | |
| 53 | Kanpur Uttar Pradesh, India | 62.3 | |
| 54 | Tirumala Andhra Pradesh, India | 61.9 | |
| 54 | Kaithal Haryana, India | 61.9 | |
| 56 | Rawalpindi low-cost sensors Punjab, Pakistan | 61.4 | |
| 57 | Arāria Bihar, India | 60.6 | |
| 58 | Rānīganj West Bengal, India | 60.2 | |
| 59 | Bhiwāni Haryana, India | 59.1 | |
| 60 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 58.2 | |
| 60 | Neelankarai Tamil Nadu, India | 58.2 | |
| 62 | Shillong Meghalaya, India | 58.1 | |
| 62 | Bhubaneswar Odisha, India | 58.1 | |
| 64 | Closepet Karnataka, India | 57.2 | |
| 65 | Dubai low-cost sensors Dubai, United Arab Emirates | 55.5 | |
| 66 | Rourkela Odisha, India | 54.9 | |
| 66 | Naharlagun Arunachal Pradesh, India | 54.9 | |
| 68 | Stodůlky low-cost sensors Prague, Czechia | 54.4 | |
| 69 | Islamabad low-cost sensors Islamabad, Pakistan | 52.7 | |
| 69 | Czechowice-Dziedzice Silesia, Poland | 52.7 | |
| 71 | Ropar Punjab, India | 52.5 | |
| 72 | Dej Cluj County, Romania | 52.4 | |
| 73 | Patna Bihar, India | 52.3 | |
| 74 | Rasapūdipalem Andhra Pradesh, India | 52.1 | |
| 75 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 51.9 | |
| 76 | Sukuta low-cost sensors Western, Gambia | 51.3 | |
| 77 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 51.2 | |
| 78 | Târgu Jiu Gorj County, Romania | 50.7 | |
| 79 | Kumanovo Kumanovo, North Macedonia | 50.1 | |
| 79 | Shrīrāmpur West Bengal, India | 50.1 | |
| 79 | Talghar low-cost sensors Almaty Region, Kazakhstan | 50.1 | |
| 82 | Kolkata West Bengal, India | 50.0 | |
| 82 | Amaravati Andhra Pradesh, India | 50.0 | |
| 84 | Włocławek Kujawsko-Pomorskie, Poland | 49.8 | |
| 85 | Saharsa Bihar, India | 49.6 | |
| 86 | Sirsa Haryana, India | 49.4 | |
| 87 | Bijelo Polje Bijelo Polje, Montenegro | 49.3 | |
| 88 | Chandigarh Chandigarh, India | 49.1 | |
| 89 | Yadgir Karnataka, India | 48.8 | |
| 90 | Nagaon Assam, India | 48.7 | |
| 91 | Říčany low-cost sensors Central Bohemia, Czechia | 47.7 | |
| 92 | Keonjhargarh Odisha, India | 47.5 | |
| 93 | Āsansol West Bengal, India | 47.3 | |
| 94 | Baripāda Odisha, India | 47.2 | |
| 95 | Tetovo Tetovo, North Macedonia | 45.5 | |
| 95 | Zagreb low-cost sensors Zagreb, Croatia | 45.5 | |
| 97 | Gorzów Wielkopolski Lubusz, Poland | 44.8 | |
| 98 | Gwalior Madhya Pradesh, India | 44.6 | |
| 99 | Suwałki Podlasie, Poland | 43.9 | |
| 99 | Augustów Podlasie, Poland | 43.9 | |
| 99 | Chittorgarh Rajasthan, India | 43.9 | |
| 102 | Pljevlja Pljevlja, Montenegro | 43.8 | |
| 103 | Liepāja Liepaja, Latvia | 43.5 | |
| 103 | Tonk Rajasthan, India | 43.5 | |
| 105 | Karachi low-cost sensors Sindh, Pakistan | 43.2 | |
| 105 | Anantapur Andhra Pradesh, India | 43.2 | |
| 107 | Barbil Odisha, India | 43.0 | |
| 108 | Tirupati Andhra Pradesh, India | 42.9 | |
| 108 | Bettiah Bihar, India | 42.9 | |
| 108 | Begusarai Bihar, India | 42.9 | |
| 111 | Kościerzyna Pomerania, Poland | 42.7 | |
| 112 | Nisko Subcarpathia, Poland | 42.6 | |
| 112 | Jaipur Rajasthan, India | 42.6 | |
| 114 | Ambāla Haryana, India | 42.4 | |
| 115 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 42.2 | |
| 115 | Jhālāwār Rajasthan, India | 42.2 | |
| 117 | Morādābād Uttar Pradesh, India | 42.0 | |
| 118 | Kadapa Andhra Pradesh, India | 41.9 | |
| 119 | Gostivar Gostivar, North Macedonia | 41.8 | |
| 120 | Jaisalmer Rajasthan, India | 41.4 | |
| 120 | Lagos low-cost sensors Lagos, Nigeria | 41.4 | |
| 122 | Ahmedabad Gujarat, India | 41.3 | |
| 122 | Agra Uttar Pradesh, India | 41.3 | |
| 124 | Codlea Brașov County, Romania | 40.8 | |
| 124 | Ajmer Rajasthan, India | 40.8 | |
| 126 | Jodhpur Rajasthan, India | 40.4 | |
| 127 | Akola Maharashtra, India | 40.2 | |
| 128 | Chānda Maharashtra, India | 40.0 | |
| 128 | Tulare low-cost sensors California, United States | 40.0 | |
| 130 | Changchun low-cost sensors Jilin, China | 39.8 | |
| 131 | Arrah Bihar, India | 39.7 | |
| 132 | Rēzekne Rēzekne, Latvia | 39.6 | |
| 133 | Jalgaon Maharashtra, India | 39.5 | |
| 133 | Bhilwara Rajasthan, India | 39.5 | |
| 135 | Buxar Bihar, India | 39.3 | |
| 136 | Nanded Maharashtra, India | 39.2 | |
| 136 | Jelenia Góra Lower Silesia, Poland | 39.2 | |
| 138 | Ciechanów Mazovia, Poland | 39.0 | |
| 139 | Patiāla Punjab, India | 38.9 | |
| 140 | Otwock Mazovia, Poland | 38.8 | |
| 140 | Chittoor Andhra Pradesh, India | 38.8 | |
| 142 | Jabalpur Madhya Pradesh, India | 38.7 | |
| 142 | Amravati Maharashtra, India | 38.7 | |
| 144 | Ventspils Ventspils, Latvia | 38.6 | |
| 145 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 38.5 | |
| 146 | Gaya Bihar, India | 38.4 | |
| 147 | Murree low-cost sensors Punjab, Pakistan | 38.3 | |
| 148 | Sholapur Maharashtra, India | 38.2 | |
| 149 | Przemyśl Subcarpathia, Poland | 38.1 | |
| 149 | Haldia West Bengal, India | 38.1 | |
| 149 | Gdańsk Pomerania, Poland | 38.1 | |
| 152 | Ełk Warmia-Masuria, Poland | 38.0 | |
| 153 | Coimbatore Tamil Nadu, India | 37.9 | |
| 154 | Ohrid Ohrid, North Macedonia | 37.8 | |
| 154 | Żywiec Silesia, Poland | 37.8 | |
| 156 | Novo Mesto Urban Municipality of Novo Mesto, Slovenia | 37.6 | |
| 157 | Hyderabad low-cost sensors Sindh, Pakistan | 37.5 | |
| 158 | Bengaluru Karnataka, India | 37.4 | |
| 159 | Kraków Lesser Poland, Poland | 37.3 | |
| 159 | Vapi Gujarat, India | 37.3 | |
| 161 | Dhaulpur Rajasthan, India | 37.2 | |
| 161 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 37.2 | |
| 161 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 37.2 | |
| 164 | Chūru Rajasthan, India | 37.0 | |
| 165 | Serilingampalle Telangana, India | 36.8 | |
| 166 | Lugano Ticino, Switzerland | 36.7 | |
| 167 | Hyderabad Telangana, India | 36.6 | |
| 168 | Uttaradit low-cost sensors Uttaradit, Thailand | 36.5 | |
| 169 | Toruń Kujawsko-Pomorskie, Poland | 36.3 | |
| 170 | Riga Riga, Latvia | 36.2 | |
| 170 | Vijayawada Andhra Pradesh, India | 36.2 | |
| 172 | Jhunjhunūn Rajasthan, India | 36.0 | |
| 172 | Bhiwandi Maharashtra, India | 36.0 | |
| 174 | Quetta low-cost sensors Balochistan, Pakistan | 35.9 | |
| 174 | Kalisz Greater Poland, Poland | 35.9 | |
| 176 | Raipur Chhattisgarh, India | 35.7 | |
| 176 | Bhopal Madhya Pradesh, India | 35.7 | |
| 176 | Joda Odisha, India | 35.7 | |
| 179 | Karauli Rajasthan, India | 35.2 | |
| 180 | Vereeniging low-cost sensors Gauteng, South Africa | 35.1 | |
| 180 | Bydgoszcz Kujawsko-Pomorskie, Poland | 35.1 | |
| 182 | Kavadarci Kavadarci, North Macedonia | 35.0 | |
| 183 | Delano low-cost sensors California, United States | 34.9 | |
| 184 | Skopje Grad Skopje, North Macedonia | 34.7 | |
| 185 | Gandhinagar Gujarat, India | 34.5 | |
| 186 | Sīkar Rajasthan, India | 34.4 | |
| 187 | Ptuj Urban Municipality of Ptuj, Slovenia | 34.1 | |
| 188 | San Luis Potosí San Luis Potosí, Mexico | 34.0 | |
| 189 | Virār Maharashtra, India | 33.9 | |
| 189 | Būndi Rajasthan, India | 33.9 | |
| 191 | Prayagraj Uttar Pradesh, India | 33.7 | |
| 191 | Aizawl Mizoram, India | 33.7 | |
| 193 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 33.6 | |
| 194 | Bitola Bitola, North Macedonia | 33.3 | |
| 195 | Indore Madhya Pradesh, India | 33.2 | |
| 195 | Gangtok Sikkim, India | 33.2 | |
| 197 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 32.9 | |
| 197 | Bānswāra Rajasthan, India | 32.9 | |
| 197 | Aguascalientes Aguascalientes, Mexico | 32.9 | |
| 200 | Łask Łódź Voivodeship, Poland | 32.7 |
Top 200 of 2,278 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