SmogRank / History / January 30, 2026
Most polluted cities on January 30, 2026
2,334 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Gurugram Haryana, India | 183.0 | |
| 2 | Dādri Uttar Pradesh, India | 158.0 | |
| 3 | Tumkūr Karnataka, India | 156.0 | |
| 4 | Faisalabad low-cost sensors Punjab, Pakistan | 150.5 | |
| 5 | Gummidipundi Tamil Nadu, India | 148.0 | |
| 6 | Multan low-cost sensors Punjab, Pakistan | 138.0 | |
| 7 | Noida Uttar Pradesh, India | 137.5 | |
| 8 | Sialkot low-cost sensors Punjab, Pakistan | 135.0 | |
| 9 | Singrauli Madhya Pradesh, India | 132.0 | |
| 10 | Delhi Delhi, India | 128.0 | |
| 11 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 126.5 | |
| 12 | Dhāruhera Haryana, India | 126.0 | |
| 13 | Rawalpindi low-cost sensors Punjab, Pakistan | 123.5 | |
| 14 | Bahawalpur low-cost sensors Punjab, Pakistan | 121.0 | |
| 15 | Gujranwala low-cost sensors Punjab, Pakistan | 120.0 | |
| 16 | Bhiwadi Rajasthan, India | 119.0 | |
| 17 | Yerevan low-cost sensors Yerevan, Armenia | 118.0 | |
| 18 | Dera Māndi Delhi, India | 116.0 | |
| 19 | Târgu Mureş low-cost sensors Mureș County, Romania | 115.0 | |
| 20 | Lahore low-cost sensors Punjab, Pakistan | 114.0 | |
| 21 | Rasapūdipalem Andhra Pradesh, India | 107.0 | |
| 22 | Bāghpat Uttar Pradesh, India | 104.0 | |
| 22 | Angul Odisha, India | 104.0 | |
| 24 | Ghāziābād Uttar Pradesh, India | 102.0 | |
| 24 | Chittorgarh Rajasthan, India | 102.0 | |
| 26 | Faridabad Haryana, India | 101.2 | |
| 27 | Greater Noida Uttar Pradesh, India | 99.1 | |
| 28 | Phuntsholing low-cost sensors Chukha, Bhutan | 98.3 | |
| 29 | Baddi Himachal Pradesh, India | 97.4 | |
| 30 | Naharlagun Arunachal Pradesh, India | 96.5 | |
| 31 | Tonk Rajasthan, India | 96.4 | |
| 32 | Dej Cluj County, Romania | 95.1 | |
| 33 | Keonjhargarh Odisha, India | 94.4 | |
| 34 | Amaravati Andhra Pradesh, India | 94.1 | |
| 35 | Sīkar Rajasthan, India | 91.9 | |
| 36 | Dhule Maharashtra, India | 90.8 | |
| 37 | Barbil Odisha, India | 89.3 | |
| 38 | Jaipur Rajasthan, India | 88.0 | |
| 39 | Bhilwara Rajasthan, India | 87.2 | |
| 40 | Baripāda Odisha, India | 86.3 | |
| 41 | Muzaffarnagar Uttar Pradesh, India | 85.9 | |
| 41 | Talghar low-cost sensors Almaty Region, Kazakhstan | 85.9 | |
| 43 | Bahadurgarh Haryana, India | 85.2 | |
| 44 | Būndi Rajasthan, India | 84.9 | |
| 45 | Narela Delhi, India | 84.4 | |
| 46 | Najafgarh Delhi, India | 84.3 | |
| 47 | Jalor Rajasthan, India | 83.5 | |
| 48 | Kolkata West Bengal, India | 82.9 | |
| 49 | Pimpri-Chinchwad Maharashtra, India | 82.0 | |
| 50 | Aya Nagar Delhi, India | 81.9 | |
| 51 | Ankleshwar Gujarat, India | 81.7 | |
| 52 | Dushanbe Dushanbe, Tajikistan | 81.5 | |
| 53 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 80.9 | |
| 54 | Kalyān Maharashtra, India | 78.6 | |
| 55 | Jhālāwār Rajasthan, India | 78.3 | |
| 56 | Srinagar Jammu and Kashmir, India | 78.0 | |
| 57 | Cuttack Odisha, India | 76.5 | |
| 58 | Rājsamand Rajasthan, India | 73.5 | |
| 59 | Chūru Rajasthan, India | 73.4 | |
| 60 | Kota Rajasthan, India | 73.2 | |
| 61 | Kampala low-cost sensors Central Region, Uganda | 73.0 | |
| 62 | Bhayandar Maharashtra, India | 72.8 | |
| 63 | Almaty low-cost sensors Almaty, Kazakhstan | 71.6 | |
| 64 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 69.7 | |
| 65 | Kathmandu low-cost sensors Bagmati Province, Nepal | 69.5 | |
| 65 | Burunday low-cost sensors Almaty Region, Kazakhstan | 69.5 | |
| 67 | Gwalior Madhya Pradesh, India | 69.4 | |
| 68 | Badlapur Maharashtra, India | 69.3 | |
| 68 | Haldia West Bengal, India | 69.3 | |
| 70 | Islamabad low-cost sensors Islamabad, Pakistan | 68.9 | |
| 71 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 68.5 | |
| 72 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 68.3 | |
| 73 | Pratāpgarh Rajasthan, India | 68.2 | |
| 74 | Closepet Karnataka, India | 68.0 | |
| 75 | Yadgir Karnataka, India | 67.5 | |
| 75 | Chennai Tamil Nadu, India | 67.5 | |
| 77 | Nagpur Maharashtra, India | 67.2 | |
| 78 | Bhubaneswar Odisha, India | 67.1 | |
| 79 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 65.9 | |
| 79 | Sai Mai low-cost sensors Bangkok, Thailand | 65.9 | |
| 79 | Kharghar Maharashtra, India | 65.9 | |
| 82 | Changchun low-cost sensors Jilin, China | 65.6 | |
| 83 | Tirumala Andhra Pradesh, India | 65.4 | |
| 84 | Mahād Maharashtra, India | 65.1 | |
| 85 | Hāpur Uttar Pradesh, India | 64.9 | |
| 86 | Târgu Jiu Gorj County, Romania | 64.7 | |
| 86 | Nalbāri Assam, India | 64.7 | |
| 86 | Hanumāngarh Rajasthan, India | 64.7 | |
| 89 | Joda Odisha, India | 64.6 | |
| 90 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 64.4 | |
| 91 | Sholapur Maharashtra, India | 64.2 | |
| 92 | Lucknow Uttar Pradesh, India | 63.7 | |
| 93 | Sawai Madhopur Rajasthan, India | 63.6 | |
| 94 | Rourkela Odisha, India | 63.5 | |
| 95 | Bhiwandi Maharashtra, India | 63.4 | |
| 96 | Neelankarai Tamil Nadu, India | 63.2 | |
| 97 | Dūngarpur Rajasthan, India | 63.1 | |
| 97 | Serilingampalle Telangana, India | 63.1 | |
| 99 | Ahmedabad Gujarat, India | 62.9 | |
| 100 | Durgapur West Bengal, India | 62.0 | |
| 101 | Bhopal Madhya Pradesh, India | 61.6 | |
| 102 | Parbhani Maharashtra, India | 61.0 | |
| 102 | Bangkok low-cost sensors Bangkok, Thailand | 61.0 | |
| 104 | Pune Maharashtra, India | 60.3 | |
| 105 | Mumbai Maharashtra, India | 59.5 | |
| 106 | Hyderabad low-cost sensors Sindh, Pakistan | 59.4 | |
| 107 | Jhunjhunūn Rajasthan, India | 59.3 | |
| 108 | Rānīganj West Bengal, India | 58.7 | |
| 109 | Dausa Rajasthan, India | 58.5 | |
| 110 | Virār Maharashtra, India | 58.3 | |
| 110 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 58.3 | |
| 112 | Jabalpur Madhya Pradesh, India | 58.0 | |
| 112 | Bikaner Rajasthan, India | 58.0 | |
| 114 | Pljevlja Pljevlja, Montenegro | 57.5 | |
| 115 | Sirsa Haryana, India | 57.4 | |
| 116 | Tirupati Andhra Pradesh, India | 57.3 | |
| 116 | Stodůlky low-cost sensors Prague, Czechia | 57.3 | |
| 118 | Begusarai Bihar, India | 57.0 | |
| 119 | Ajmer Rajasthan, India | 56.1 | |
| 120 | Bengaluru Karnataka, India | 55.4 | |
| 121 | Nandri Rajasthan, India | 55.0 | |
| 122 | Yamuna Nagar Haryana, India | 54.9 | |
| 122 | Shrīrāmpur West Bengal, India | 54.9 | |
| 124 | Nāgaur Rajasthan, India | 54.8 | |
| 125 | Gandhinagar Gujarat, India | 54.4 | |
| 126 | Kolhāpur Maharashtra, India | 54.2 | |
| 127 | Thānesar Haryana, India | 53.8 | |
| 127 | Chandigarh Chandigarh, India | 53.8 | |
| 129 | Rairangpur Odisha, India | 53.1 | |
| 129 | Boisar Maharashtra, India | 53.1 | |
| 131 | Nanded Maharashtra, India | 52.6 | |
| 132 | Jalgaon Maharashtra, India | 52.3 | |
| 133 | Craiova Dolj, Romania | 52.1 | |
| 134 | Jodhpur Rajasthan, India | 51.9 | |
| 135 | Aurangabad Maharashtra, India | 51.7 | |
| 136 | Karachi low-cost sensors Sindh, Pakistan | 51.5 | |
| 137 | Sri Ganganagar Rajasthan, India | 51.2 | |
| 138 | Coimbatore Tamil Nadu, India | 51.0 | |
| 139 | Latur Maharashtra, India | 50.9 | |
| 140 | Āsansol West Bengal, India | 50.8 | |
| 141 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 50.7 | |
| 142 | Říčany low-cost sensors Central Bohemia, Czechia | 50.2 | |
| 143 | Sāngli Maharashtra, India | 49.6 | |
| 143 | Patna Bihar, India | 49.6 | |
| 143 | Gorzów Wielkopolski Lubusz, Poland | 49.6 | |
| 146 | Meerut Uttar Pradesh, India | 49.5 | |
| 147 | Tulare low-cost sensors California, United States | 49.4 | |
| 148 | Żary Lubusz, Poland | 49.3 | |
| 149 | Delano low-cost sensors California, United States | 49.2 | |
| 150 | Sirohi Rajasthan, India | 48.8 | |
| 151 | Nashik Maharashtra, India | 48.5 | |
| 152 | Zeitz Saxony-Anhalt, Germany | 48.4 | |
| 152 | Weißenfels Saxony-Anhalt, Germany | 48.4 | |
| 152 | Weimar Thuringia, Germany | 48.4 | |
| 152 | Hacienda Santa Fe Jalisco, Mexico | 48.4 | |
| 156 | Halle (Saale) Saxony-Anhalt, Germany | 48.2 | |
| 156 | Bijelo Polje Bijelo Polje, Montenegro | 48.2 | |
| 158 | Kalisz Greater Poland, Poland | 47.6 | |
| 159 | Tema low-cost sensors Greater Accra, Ghana | 47.5 | |
| 160 | Ashaiman low-cost sensors Greater Accra, Ghana | 47.3 | |
| 161 | Bernburg Saxony-Anhalt, Germany | 47.1 | |
| 162 | Dessau Saxony-Anhalt, Germany | 47.0 | |
| 163 | Buxar Bihar, India | 46.5 | |
| 163 | Merseburg Saxony-Anhalt, Germany | 46.5 | |
| 163 | Erfurt Thuringia, Germany | 46.5 | |
| 166 | Jalandhar Punjab, India | 46.4 | |
| 167 | Chittoor Andhra Pradesh, India | 46.3 | |
| 168 | Morādābād Uttar Pradesh, India | 45.9 | |
| 169 | Anantapur Andhra Pradesh, India | 45.5 | |
| 169 | Haarlem low-cost sensors North Holland, The Netherlands | 45.5 | |
| 171 | Kaithal Haryana, India | 45.3 | |
| 172 | Halberstadt Saxony-Anhalt, Germany | 45.2 | |
| 173 | Gaya Bihar, India | 44.8 | |
| 173 | Chānda Maharashtra, India | 44.8 | |
| 175 | Mühlhausen Thuringia, Germany | 44.7 | |
| 176 | Hyderabad Telangana, India | 44.4 | |
| 177 | Zagreb low-cost sensors Zagreb, Croatia | 44.1 | |
| 178 | Vijayawada Andhra Pradesh, India | 44.0 | |
| 179 | Akola Maharashtra, India | 43.9 | |
| 180 | Nordhausen Thuringia, Germany | 43.7 | |
| 181 | Wadgaon Kolhati Maharashtra, India | 43.6 | |
| 182 | Jaisalmer Rajasthan, India | 43.4 | |
| 183 | Poznań Greater Poland, Poland | 43.3 | |
| 184 | Amravati Maharashtra, India | 42.9 | |
| 185 | Bānswāra Rajasthan, India | 42.8 | |
| 186 | Ambāla Haryana, India | 42.6 | |
| 186 | Zielona Góra Lubusz, Poland | 42.6 | |
| 188 | Lagos low-cost sensors Lagos, Nigeria | 42.5 | |
| 188 | Wittenberg Saxony-Anhalt, Germany | 42.5 | |
| 190 | Wernigerode Saxony-Anhalt, Germany | 42.1 | |
| 191 | Bārān Rajasthan, India | 42.0 | |
| 192 | Bitterfeld-Wolfen Saxony-Anhalt, Germany | 41.9 | |
| 193 | Chikmagalūr Karnataka, India | 41.8 | |
| 193 | Burg bei Magdeburg Saxony-Anhalt, Germany | 41.8 | |
| 193 | Tlaquepaque Jalisco, Mexico | 41.8 | |
| 196 | Jena Thuringia, Germany | 41.3 | |
| 197 | Gostivar Gostivar, North Macedonia | 41.2 | |
| 197 | Magdeburg Saxony-Anhalt, Germany | 41.2 | |
| 199 | Panvel Maharashtra, India | 41.1 | |
| 200 | Strumica Strumica, North Macedonia | 40.9 |
Top 200 of 2,334 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