SmogRank / History / January 10, 2026
Most polluted cities on January 10, 2026
2,123 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Ariyalūr Tamil Nadu, India | 495.0 | |
| 2 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 259.0 | |
| 3 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 223.0 | |
| 4 | Bijelo Polje Bijelo Polje, Montenegro | 210.0 | |
| 5 | Lahore low-cost sensors Punjab, Pakistan | 188.0 | |
| 6 | Faisalabad low-cost sensors Punjab, Pakistan | 185.5 | |
| 7 | Bahawalpur low-cost sensors Punjab, Pakistan | 175.0 | |
| 8 | Sialkot low-cost sensors Punjab, Pakistan | 171.0 | |
| 9 | Delhi Delhi, India | 168.0 | |
| 10 | Burunday low-cost sensors Almaty Region, Kazakhstan | 167.0 | |
| 10 | Noida Uttar Pradesh, India | 167.0 | |
| 12 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 156.0 | |
| 13 | Rawalpindi low-cost sensors Punjab, Pakistan | 155.0 | |
| 14 | Gujranwala low-cost sensors Punjab, Pakistan | 154.0 | |
| 15 | Multan low-cost sensors Punjab, Pakistan | 153.0 | |
| 16 | Yerevan low-cost sensors Yerevan, Armenia | 145.0 | |
| 17 | Greater Noida Uttar Pradesh, India | 141.0 | |
| 18 | Tonk Rajasthan, India | 140.0 | |
| 19 | Sīkar Rajasthan, India | 139.0 | |
| 20 | Żywiec Silesia, Poland | 133.0 | |
| 21 | Ghāziābād Uttar Pradesh, India | 126.0 | |
| 22 | Kanpur Uttar Pradesh, India | 122.0 | |
| 23 | Talghar low-cost sensors Almaty Region, Kazakhstan | 121.0 | |
| 24 | Bhiwadi Rajasthan, India | 119.0 | |
| 25 | Almaty low-cost sensors Almaty, Kazakhstan | 118.0 | |
| 26 | Kota Rajasthan, India | 117.0 | |
| 26 | Būndi Rajasthan, India | 117.0 | |
| 28 | Baddi Himachal Pradesh, India | 116.0 | |
| 29 | Dhāruhera Haryana, India | 115.0 | |
| 29 | Aya Nagar Delhi, India | 115.0 | |
| 31 | Islamabad low-cost sensors Islamabad, Pakistan | 114.0 | |
| 32 | Bhilwara Rajasthan, India | 108.0 | |
| 33 | Bāghpat Uttar Pradesh, India | 107.0 | |
| 34 | Begusarai Bihar, India | 106.0 | |
| 35 | Chittorgarh Rajasthan, India | 105.0 | |
| 36 | Hāpur Uttar Pradesh, India | 104.0 | |
| 37 | Gwalior Madhya Pradesh, India | 101.9 | |
| 38 | Strumica Strumica, North Macedonia | 101.5 | |
| 39 | Nāgaur Rajasthan, India | 100.0 | |
| 40 | Muzaffarnagar Uttar Pradesh, India | 98.5 | |
| 41 | Jodhpur Rajasthan, India | 96.1 | |
| 42 | Najafgarh Delhi, India | 95.9 | |
| 43 | Nandri Rajasthan, India | 94.9 | |
| 44 | Jalor Rajasthan, India | 93.7 | |
| 45 | Jhālāwār Rajasthan, India | 91.4 | |
| 46 | Rājsamand Rajasthan, India | 90.9 | |
| 47 | Jhunjhunūn Rajasthan, India | 90.5 | |
| 48 | Jaipur Rajasthan, India | 89.7 | |
| 48 | Gummidipundi Tamil Nadu, India | 89.7 | |
| 48 | Bahadurgarh Haryana, India | 89.7 | |
| 51 | Dūngarpur Rajasthan, India | 89.5 | |
| 52 | Karnāl Haryana, India | 87.1 | |
| 53 | Kolkata West Bengal, India | 86.8 | |
| 54 | Lucknow Uttar Pradesh, India | 84.5 | |
| 55 | Bārmer Rajasthan, India | 83.1 | |
| 56 | Sirohi Rajasthan, India | 81.9 | |
| 56 | Singrauli Madhya Pradesh, India | 81.9 | |
| 58 | Gevgelija Gevgelija, North Macedonia | 79.3 | |
| 59 | Faridabad Haryana, India | 78.9 | |
| 59 | Kadapa Andhra Pradesh, India | 78.9 | |
| 61 | Thānesar Haryana, India | 78.5 | |
| 62 | Pratāpgarh Rajasthan, India | 78.2 | |
| 63 | Sri Ganganagar Rajasthan, India | 77.8 | |
| 64 | Quetta low-cost sensors Balochistan, Pakistan | 76.9 | |
| 64 | Pune Maharashtra, India | 76.9 | |
| 66 | Skopje Grad Skopje, North Macedonia | 76.8 | |
| 67 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 76.6 | |
| 68 | Sighetu Marmaţiei Maramureş, Romania | 76.3 | |
| 69 | Tarnów Lesser Poland, Poland | 75.7 | |
| 70 | Jīnd Haryana, India | 75.0 | |
| 71 | Pljevlja Pljevlja, Montenegro | 74.3 | |
| 72 | Agra Uttar Pradesh, India | 73.8 | |
| 73 | Dausa Rajasthan, India | 73.6 | |
| 74 | Nagpur Maharashtra, India | 73.4 | |
| 75 | Karachi low-cost sensors Sindh, Pakistan | 73.2 | |
| 76 | Sonīpat Haryana, India | 73.1 | |
| 77 | Shrīrāmpur West Bengal, India | 71.7 | |
| 78 | Zagreb low-cost sensors Zagreb, Croatia | 71.4 | |
| 79 | Jabalpur Madhya Pradesh, India | 71.1 | |
| 80 | Changchun low-cost sensors Jilin, China | 70.9 | |
| 81 | Tlaquepaque Jalisco, Mexico | 70.4 | |
| 82 | Chandigarh Chandigarh, India | 70.3 | |
| 83 | Haldia West Bengal, India | 69.9 | |
| 83 | Pendleton Oregon, United States | 69.9 | |
| 85 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 69.6 | |
| 86 | Yamuna Nagar Haryana, India | 69.5 | |
| 87 | Baia Mare Maramureş, Romania | 69.4 | |
| 88 | Veles Veles, North Macedonia | 68.0 | |
| 89 | Ahmedabad Gujarat, India | 67.9 | |
| 90 | Târgu Jiu Gorj County, Romania | 67.5 | |
| 91 | Kampala low-cost sensors Central Region, Uganda | 66.9 | |
| 92 | Kumanovo Kumanovo, North Macedonia | 66.1 | |
| 93 | Rānīganj West Bengal, India | 65.8 | |
| 94 | Morādābād Uttar Pradesh, India | 64.6 | |
| 95 | Miskolc Borsod-Abaúj-Zemplén, Hungary | 64.3 | |
| 96 | Ankleshwar Gujarat, India | 63.8 | |
| 97 | Tumkūr Karnataka, India | 63.3 | |
| 98 | Saharsa Bihar, India | 62.8 | |
| 99 | Ilinden Ilinden, North Macedonia | 62.2 | |
| 100 | Anantapur Andhra Pradesh, India | 61.8 | |
| 101 | Rourkela Odisha, India | 61.6 | |
| 102 | Amaravati Andhra Pradesh, India | 60.9 | |
| 103 | Târgu Mureş low-cost sensors Mureș County, Romania | 60.7 | |
| 104 | Kavadarci Kavadarci, North Macedonia | 59.2 | |
| 105 | Kathmandu low-cost sensors Bagmati Province, Nepal | 59.1 | |
| 106 | Bettiah Bihar, India | 58.9 | |
| 107 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 58.8 | |
| 108 | Banja Luka Srpska, Bosnia and Herzegovina | 58.7 | |
| 109 | Győr Győr-Moson-Sopron, Hungary | 58.2 | |
| 110 | Mumbai Maharashtra, India | 58.1 | |
| 111 | Kaithal Haryana, India | 57.8 | |
| 111 | Bhiwandi Maharashtra, India | 57.8 | |
| 113 | Siwān Bihar, India | 57.6 | |
| 114 | Dubai low-cost sensors Dubai, United Arab Emirates | 56.6 | |
| 115 | Badlapur Maharashtra, India | 56.5 | |
| 116 | Rājgīr Bihar, India | 56.4 | |
| 117 | Kłodzko Lower Silesia, Poland | 56.1 | |
| 118 | Dunaújváros Fejér, Hungary | 55.8 | |
| 119 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 55.7 | |
| 120 | Virār Maharashtra, India | 54.7 | |
| 121 | Aurangabad Maharashtra, India | 54.5 | |
| 122 | Gyál Pest County, Hungary | 53.9 | |
| 123 | Āsansol West Bengal, India | 53.8 | |
| 124 | Dębica Subcarpathia, Poland | 53.3 | |
| 125 | Veszprém Veszprém, Hungary | 52.6 | |
| 126 | Jastrzębie Zdrój Silesia, Poland | 52.5 | |
| 127 | Jalandhar Punjab, India | 52.4 | |
| 128 | Patna Bihar, India | 52.3 | |
| 128 | Jalgaon Maharashtra, India | 52.3 | |
| 130 | Nashik Maharashtra, India | 52.2 | |
| 131 | Eisenzicken Burgenland, Austria | 50.6 | |
| 131 | Esztergom Komárom-Esztergom, Hungary | 50.6 | |
| 133 | Durgapur West Bengal, India | 50.3 | |
| 134 | Bānswāra Rajasthan, India | 50.1 | |
| 135 | Zgierz Łódź Voivodeship, Poland | 49.9 | |
| 136 | Lagos low-cost sensors Lagos, Nigeria | 49.6 | |
| 137 | Raipur Chhattisgarh, India | 49.4 | |
| 138 | Serilingampalle Telangana, India | 49.3 | |
| 139 | Keonjhargarh Odisha, India | 49.1 | |
| 139 | Radomsko Łódź Voivodeship, Poland | 49.1 | |
| 141 | Dhule Maharashtra, India | 49.0 | |
| 142 | Czechowice-Dziedzice Silesia, Poland | 48.2 | |
| 143 | Naharlagun Arunachal Pradesh, India | 48.0 | |
| 144 | Bhāgalpur Bihar, India | 47.7 | |
| 145 | Stodůlky low-cost sensors Prague, Czechia | 47.4 | |
| 146 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 47.1 | |
| 147 | Guadalajara Jalisco, Mexico | 47.0 | |
| 148 | Budapest Budapest, Hungary | 46.9 | |
| 149 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 46.8 | |
| 150 | Thiès low-cost sensors Thies, Senegal | 46.6 | |
| 151 | Mielec Subcarpathia, Poland | 46.0 | |
| 151 | Gostivar Gostivar, North Macedonia | 46.0 | |
| 153 | Sai Mai low-cost sensors Bangkok, Thailand | 45.9 | |
| 154 | Akola Maharashtra, India | 45.2 | |
| 155 | Dej Cluj County, Romania | 45.1 | |
| 155 | Szeged Csongrád, Hungary | 45.1 | |
| 155 | Sāngli Maharashtra, India | 45.1 | |
| 158 | Perchtoldsdorf Lower Austria, Austria | 44.9 | |
| 159 | Novo Mesto Urban Municipality of Novo Mesto, Slovenia | 44.6 | |
| 160 | Gaya Bihar, India | 44.5 | |
| 161 | Surat Gujarat, India | 44.0 | |
| 161 | Mahād Maharashtra, India | 44.0 | |
| 163 | Cuttack Odisha, India | 43.8 | |
| 164 | Bārān Rajasthan, India | 43.6 | |
| 164 | Pécs Baranya, Hungary | 43.6 | |
| 166 | Patiāla Punjab, India | 43.3 | |
| 167 | Arāria Bihar, India | 43.0 | |
| 168 | Vienna Vienna, Austria | 42.2 | |
| 169 | Amravati Maharashtra, India | 42.0 | |
| 170 | Hanumāngarh Rajasthan, India | 41.8 | |
| 171 | Ambāla Haryana, India | 41.5 | |
| 172 | Kochani Kochani, North Macedonia | 41.4 | |
| 173 | Ashaiman low-cost sensors Greater Accra, Ghana | 41.1 | |
| 174 | Xonacatlán México, Mexico | 40.6 | |
| 175 | Ptuj Urban Municipality of Ptuj, Slovenia | 40.5 | |
| 176 | Chaozhou Taiwan, Taiwan | 40.2 | |
| 177 | Nagapattinam Tamil Nadu, India | 40.1 | |
| 178 | Bitola Bitola, North Macedonia | 40.0 | |
| 179 | Braşov Brașov County, Romania | 39.9 | |
| 180 | Łask Łódź Voivodeship, Poland | 39.8 | |
| 181 | Codlea Brașov County, Romania | 39.6 | |
| 182 | Murree low-cost sensors Punjab, Pakistan | 39.5 | |
| 183 | San Luis Potosí San Luis Potosí, Mexico | 39.4 | |
| 184 | Říčany low-cost sensors Central Bohemia, Czechia | 39.0 | |
| 185 | Bengaluru Karnataka, India | 38.9 | |
| 185 | Fengshan Takao, Taiwan | 38.9 | |
| 187 | Panvel Maharashtra, India | 38.7 | |
| 187 | Bangkok low-cost sensors Bangkok, Thailand | 38.7 | |
| 189 | Hacienda Santa Fe Jalisco, Mexico | 38.6 | |
| 190 | Neelankarai Tamil Nadu, India | 38.2 | |
| 191 | Saugor Madhya Pradesh, India | 38.1 | |
| 192 | Racibórz Silesia, Poland | 38.0 | |
| 193 | Zalău Sălaj County, Romania | 37.9 | |
| 194 | Medina Estates low-cost sensors Greater Accra, Ghana | 37.8 | |
| 195 | Kraków Lesser Poland, Poland | 37.7 | |
| 196 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 37.4 | |
| 197 | Tuen Mun Tuen Mun, Hong Kong | 37.2 | |
| 198 | Craiova Dolj, Romania | 37.1 | |
| 199 | Calafat Dolj, Romania | 36.7 | |
| 200 | Perundurai Tamil Nadu, India | 36.6 |
Top 200 of 2,123 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