SmogRank / History / February 6, 2026
Most polluted cities on February 6, 2026
2,425 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 168.5 | |
| 2 | Faisalabad low-cost sensors Punjab, Pakistan | 165.5 | |
| 3 | Żywiec Silesia, Poland | 151.0 | |
| 4 | Lahore low-cost sensors Punjab, Pakistan | 150.0 | |
| 5 | Gujranwala low-cost sensors Punjab, Pakistan | 147.0 | |
| 6 | Kłodzko Lower Silesia, Poland | 143.0 | |
| 7 | Multan low-cost sensors Punjab, Pakistan | 123.0 | |
| 8 | Sialkot low-cost sensors Punjab, Pakistan | 120.5 | |
| 9 | Sri Ganganagar Rajasthan, India | 120.0 | |
| 10 | Hyderabad low-cost sensors Sindh, Pakistan | 116.0 | |
| 11 | Gurugram Haryana, India | 108.0 | |
| 12 | Delhi Delhi, India | 106.0 | |
| 13 | Bijelo Polje Bijelo Polje, Montenegro | 104.0 | |
| 14 | Ghāziābād Uttar Pradesh, India | 103.0 | |
| 15 | Merseburg Saxony-Anhalt, Germany | 102.0 | |
| 16 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 101.0 | |
| 16 | Halle (Saale) Saxony-Anhalt, Germany | 101.0 | |
| 18 | Hājīpur Bihar, India | 94.9 | |
| 19 | Bernburg Saxony-Anhalt, Germany | 94.2 | |
| 20 | Joda Odisha, India | 91.3 | |
| 21 | Dādri Uttar Pradesh, India | 91.2 | |
| 22 | Dhāruhera Haryana, India | 90.9 | |
| 23 | Noida Uttar Pradesh, India | 90.7 | |
| 24 | Singrauli Madhya Pradesh, India | 89.5 | |
| 25 | Ropar Punjab, India | 89.3 | |
| 26 | Naharlagun Arunachal Pradesh, India | 87.7 | |
| 27 | Rawalpindi low-cost sensors Punjab, Pakistan | 87.1 | |
| 28 | Weißenfels Saxony-Anhalt, Germany | 86.2 | |
| 29 | Bahadurgarh Haryana, India | 85.0 | |
| 30 | Dessau Saxony-Anhalt, Germany | 82.6 | |
| 31 | Faridabad Haryana, India | 81.6 | |
| 32 | Wittenberg Saxony-Anhalt, Germany | 81.4 | |
| 33 | Narela Delhi, India | 80.8 | |
| 34 | Pljevlja Pljevlja, Montenegro | 80.6 | |
| 35 | Kolkata West Bengal, India | 80.2 | |
| 36 | Najafgarh Delhi, India | 78.9 | |
| 37 | Tonk Rajasthan, India | 77.9 | |
| 38 | Köthen Saxony-Anhalt, Germany | 77.6 | |
| 39 | Chittorgarh Rajasthan, India | 77.4 | |
| 40 | Bhilwara Rajasthan, India | 77.1 | |
| 41 | Karachi low-cost sensors Sindh, Pakistan | 77.0 | |
| 42 | Ahmedabad Gujarat, India | 76.8 | |
| 43 | Jhālāwār Rajasthan, India | 76.1 | |
| 44 | Bhiwadi Rajasthan, India | 75.8 | |
| 45 | Magdeburg Saxony-Anhalt, Germany | 75.3 | |
| 45 | Burg bei Magdeburg Saxony-Anhalt, Germany | 75.3 | |
| 47 | Jīnd Haryana, India | 75.0 | |
| 48 | Bitterfeld-Wolfen Saxony-Anhalt, Germany | 74.9 | |
| 49 | Banja Luka Srpska, Bosnia and Herzegovina | 72.8 | |
| 50 | Dushanbe Dushanbe, Tajikistan | 72.7 | |
| 50 | Mahād Maharashtra, India | 72.7 | |
| 50 | Pimpri-Chinchwad Maharashtra, India | 72.7 | |
| 53 | Sīkar Rajasthan, India | 72.5 | |
| 54 | Kota Rajasthan, India | 72.3 | |
| 54 | Żary Lubusz, Poland | 72.3 | |
| 56 | Phuntsholing low-cost sensors Chukha, Bhutan | 71.9 | |
| 57 | Pune Maharashtra, India | 71.7 | |
| 58 | Nagpur Maharashtra, India | 71.6 | |
| 59 | Bārān Rajasthan, India | 70.8 | |
| 60 | Bahawalpur low-cost sensors Punjab, Pakistan | 70.7 | |
| 60 | Bāghpat Uttar Pradesh, India | 70.7 | |
| 62 | Bhayandar Maharashtra, India | 70.3 | |
| 63 | Thānesar Haryana, India | 69.6 | |
| 64 | Muzaffarnagar Uttar Pradesh, India | 69.4 | |
| 65 | Greater Noida Uttar Pradesh, India | 69.2 | |
| 66 | Islamabad low-cost sensors Islamabad, Pakistan | 68.8 | |
| 67 | Halberstadt Saxony-Anhalt, Germany | 68.6 | |
| 68 | Gandhinagar Gujarat, India | 67.6 | |
| 68 | Luckenwalde Brandenburg, Germany | 67.6 | |
| 70 | Jaipur Rajasthan, India | 67.5 | |
| 71 | Rasapūdipalem Andhra Pradesh, India | 67.3 | |
| 72 | Begusarai Bihar, India | 67.1 | |
| 73 | Sholapur Maharashtra, India | 66.9 | |
| 73 | Zeitz Saxony-Anhalt, Germany | 66.9 | |
| 75 | Aya Nagar Delhi, India | 66.8 | |
| 76 | Badlapur Maharashtra, India | 66.2 | |
| 77 | Parbhani Maharashtra, India | 66.0 | |
| 78 | Jalandhar Punjab, India | 65.6 | |
| 79 | Gummidipundi Tamil Nadu, India | 65.5 | |
| 79 | Bhiwandi Maharashtra, India | 65.5 | |
| 81 | Yamuna Nagar Haryana, India | 65.2 | |
| 81 | Dūngarpur Rajasthan, India | 65.2 | |
| 83 | Serilingampalle Telangana, India | 64.6 | |
| 84 | Gorzów Wielkopolski Lubusz, Poland | 64.5 | |
| 85 | Kharghar Maharashtra, India | 64.0 | |
| 86 | Angul Odisha, India | 63.9 | |
| 87 | Bitola Bitola, North Macedonia | 63.6 | |
| 88 | Cottbus Brandenburg, Germany | 63.4 | |
| 89 | Cuttack Odisha, India | 63.3 | |
| 90 | Kalyān Maharashtra, India | 61.8 | |
| 91 | Virār Maharashtra, India | 61.7 | |
| 92 | Baripāda Odisha, India | 61.4 | |
| 93 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 61.1 | |
| 94 | Jhunjhunūn Rajasthan, India | 60.8 | |
| 95 | Lubnjow Brandenburg, Germany | 60.6 | |
| 96 | Baddi Himachal Pradesh, India | 60.5 | |
| 97 | Kampala low-cost sensors Central Region, Uganda | 60.2 | |
| 97 | Racibórz Silesia, Poland | 60.2 | |
| 99 | Sirsa Haryana, India | 60.1 | |
| 99 | Brandenburg an der Havel Brandenburg, Germany | 60.1 | |
| 101 | Chānda Maharashtra, India | 59.3 | |
| 102 | Stendal Saxony-Anhalt, Germany | 59.2 | |
| 103 | Bhubaneswar Odisha, India | 58.1 | |
| 104 | Yadgir Karnataka, India | 57.9 | |
| 104 | Jalor Rajasthan, India | 57.9 | |
| 106 | Rājsamand Rajasthan, India | 57.4 | |
| 106 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 57.4 | |
| 108 | Salzgitter Lower Saxony, Germany | 57.2 | |
| 109 | Tetovo Tetovo, North Macedonia | 56.6 | |
| 110 | Byasanagar Odisha, India | 56.4 | |
| 111 | Barbil Odisha, India | 56.3 | |
| 112 | Gwalior Madhya Pradesh, India | 56.2 | |
| 113 | Rānīganj West Bengal, India | 55.9 | |
| 114 | Būndi Rajasthan, India | 55.8 | |
| 114 | Königs Wusterhausen Brandenburg, Germany | 55.8 | |
| 116 | Potsdam Brandenburg, Germany | 55.7 | |
| 117 | Blankenfelde-Mahlow Brandenburg, Germany | 55.4 | |
| 118 | Lucknow Uttar Pradesh, India | 55.3 | |
| 119 | Karnāl Haryana, India | 54.6 | |
| 120 | Zielona Góra Lubusz, Poland | 54.5 | |
| 121 | Durgapur West Bengal, India | 54.4 | |
| 121 | Neubrandenburg Mecklenburg-Vorpommern, Germany | 54.4 | |
| 123 | Bikaner Rajasthan, India | 54.3 | |
| 124 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 54.1 | |
| 125 | Wolfsburg Lower Saxony, Germany | 54.0 | |
| 126 | Ajmer Rajasthan, India | 53.9 | |
| 127 | Jalgaon Maharashtra, India | 53.7 | |
| 128 | Kathmandu low-cost sensors Bagmati Province, Nepal | 53.1 | |
| 128 | Zagreb low-cost sensors Zagreb, Croatia | 53.1 | |
| 130 | Aurangabad Maharashtra, India | 52.9 | |
| 131 | Haldia West Bengal, India | 52.6 | |
| 132 | Sirohi Rajasthan, India | 52.3 | |
| 132 | Braunschweig Lower Saxony, Germany | 52.3 | |
| 134 | Chennai Tamil Nadu, India | 52.2 | |
| 135 | Haarlem low-cost sensors North Holland, The Netherlands | 52.1 | |
| 136 | Târgu Jiu Gorj County, Romania | 52.0 | |
| 136 | Oranienburg Brandenburg, Germany | 52.0 | |
| 138 | Tulare low-cost sensors California, United States | 51.9 | |
| 139 | Berlin State of Berlin, Germany | 51.5 | |
| 140 | Sāngli Maharashtra, India | 50.4 | |
| 141 | Pratāpgarh Rajasthan, India | 50.3 | |
| 141 | Anantapur Andhra Pradesh, India | 50.3 | |
| 143 | Sawai Madhopur Rajasthan, India | 50.0 | |
| 144 | Saharsa Bihar, India | 49.7 | |
| 144 | Rourkela Odisha, India | 49.7 | |
| 144 | Teltow Brandenburg, Germany | 49.7 | |
| 147 | Panvel Maharashtra, India | 49.4 | |
| 148 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 49.3 | |
| 148 | Latur Maharashtra, India | 49.3 | |
| 148 | Mumbai Maharashtra, India | 49.3 | |
| 148 | Nauen Brandenburg, Germany | 49.3 | |
| 152 | Falkensee Brandenburg, Germany | 49.2 | |
| 153 | Amaravati Andhra Pradesh, India | 49.1 | |
| 154 | Eisenhüttenstadt Brandenburg, Germany | 49.0 | |
| 155 | Stodůlky low-cost sensors Prague, Czechia | 48.8 | |
| 156 | Indore Madhya Pradesh, India | 48.7 | |
| 157 | Hanumāngarh Rajasthan, India | 48.5 | |
| 158 | Bettiah Bihar, India | 48.3 | |
| 159 | Meerut Uttar Pradesh, India | 48.2 | |
| 160 | Kolhāpur Maharashtra, India | 47.7 | |
| 161 | Nāgaur Rajasthan, India | 47.6 | |
| 161 | Chūru Rajasthan, India | 47.6 | |
| 161 | Arāria Bihar, India | 47.6 | |
| 164 | Kadapa Andhra Pradesh, India | 47.5 | |
| 165 | Wadgaon Kolhati Maharashtra, India | 46.9 | |
| 166 | Tirupati Andhra Pradesh, India | 46.8 | |
| 167 | Tirumala Andhra Pradesh, India | 46.7 | |
| 167 | Shrīrāmpur West Bengal, India | 46.7 | |
| 167 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 46.7 | |
| 167 | Travnik Federation of B&H, Bosnia and Herzegovina | 46.7 | |
| 171 | Jastrzębie Zdrój Silesia, Poland | 46.6 | |
| 172 | Bhopal Madhya Pradesh, India | 46.4 | |
| 172 | Amravati Maharashtra, India | 46.4 | |
| 174 | Patna Bihar, India | 46.3 | |
| 175 | Gevgelija Gevgelija, North Macedonia | 46.1 | |
| 175 | Nashik Maharashtra, India | 46.1 | |
| 177 | Opole Opole Voivodeship, Poland | 45.6 | |
| 178 | Kalisz Greater Poland, Poland | 45.5 | |
| 179 | Boisar Maharashtra, India | 45.3 | |
| 179 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 45.3 | |
| 181 | Gostivar Gostivar, North Macedonia | 45.2 | |
| 182 | Korhogo low-cost sensors Savanes District, Ivory Coast | 45.0 | |
| 182 | Schwerin Mecklenburg-Vorpommern, Germany | 45.0 | |
| 182 | Kędzierzyn-Koźle Opole Voivodeship, Poland | 45.0 | |
| 185 | Thāne Maharashtra, India | 44.9 | |
| 186 | Bānswāra Rajasthan, India | 44.6 | |
| 187 | Chāpra Bihar, India | 44.0 | |
| 188 | Chandigarh Chandigarh, India | 43.9 | |
| 189 | Schwedt (Oder) Brandenburg, Germany | 43.4 | |
| 190 | Akola Maharashtra, India | 43.3 | |
| 191 | Strausberg Brandenburg, Germany | 43.1 | |
| 192 | Neuruppin Brandenburg, Germany | 42.7 | |
| 192 | Mexicali Baja California, Mexico | 42.7 | |
| 194 | Kardítsa Thessaly, Greece | 42.6 | |
| 194 | Sai Mai low-cost sensors Bangkok, Thailand | 42.6 | |
| 196 | Wrocław Lower Silesia, Poland | 42.4 | |
| 197 | Vijayawada Andhra Pradesh, India | 42.1 | |
| 198 | Strumica Strumica, North Macedonia | 42.0 | |
| 198 | Guwahati Assam, India | 42.0 | |
| 200 | Walsrode Lower Saxony, Germany | 41.9 |
Top 200 of 2,425 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