SmogRank / History / February 25, 2026
Most polluted cities on February 25, 2026
2,234 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 | 229.0 | |
| 2 | Karonga low-cost sensors Northern Region, Malawi | 188.2 | |
| 3 | Gurugram Haryana, India | 183.0 | |
| 4 | Agartala Tripura, India | 170.0 | |
| 5 | Jammu low-cost sensors Jammu and Kashmir, India | 164.0 | |
| 6 | Sialkot low-cost sensors Punjab, Pakistan | 160.0 | |
| 7 | Gujranwala low-cost sensors Punjab, Pakistan | 157.0 | |
| 8 | Faisalabad low-cost sensors Punjab, Pakistan | 148.0 | |
| 9 | Bhiwadi Rajasthan, India | 146.0 | |
| 10 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 141.0 | |
| 11 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 138.0 | |
| 12 | Lahore low-cost sensors Punjab, Pakistan | 132.0 | |
| 13 | Dhāruhera Haryana, India | 118.0 | |
| 14 | Faridabad Haryana, India | 114.5 | |
| 15 | Bāghpat Uttar Pradesh, India | 114.0 | |
| 16 | Bahadurgarh Haryana, India | 110.0 | |
| 17 | Surat Gujarat, India | 107.0 | |
| 18 | Hāpur Uttar Pradesh, India | 105.0 | |
| 18 | Dādri Uttar Pradesh, India | 105.0 | |
| 20 | Narela Delhi, India | 104.0 | |
| 21 | Kampala low-cost sensors Central Region, Uganda | 102.0 | |
| 21 | Hyderabad low-cost sensors Sindh, Pakistan | 102.0 | |
| 23 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 94.9 | |
| 24 | Thānesar Haryana, India | 93.8 | |
| 25 | Delhi Delhi, India | 93.2 | |
| 26 | Multan low-cost sensors Punjab, Pakistan | 93.1 | |
| 27 | Ghāziābād Uttar Pradesh, India | 92.0 | |
| 28 | Karnāl Haryana, India | 90.7 | |
| 29 | Yamuna Nagar Haryana, India | 88.2 | |
| 29 | Angul Odisha, India | 88.2 | |
| 31 | Hājīpur Bihar, India | 85.4 | |
| 32 | Karachi low-cost sensors Sindh, Pakistan | 84.1 | |
| 32 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 84.1 | |
| 34 | Meerut Uttar Pradesh, India | 83.6 | |
| 34 | Jīnd Haryana, India | 83.6 | |
| 36 | Noida Uttar Pradesh, India | 83.5 | |
| 37 | Greater Noida Uttar Pradesh, India | 81.5 | |
| 38 | Undera Gujarat, India | 81.0 | |
| 39 | Bhiwāni Haryana, India | 80.9 | |
| 40 | Baddi Himachal Pradesh, India | 78.8 | |
| 41 | Muzaffarnagar Uttar Pradesh, India | 77.7 | |
| 42 | Sirsa Haryana, India | 76.6 | |
| 43 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 75.6 | |
| 44 | Kathmandu low-cost sensors Bagmati Province, Nepal | 75.0 | |
| 45 | Nalbāri Assam, India | 74.6 | |
| 46 | Singrauli Madhya Pradesh, India | 73.9 | |
| 47 | Lucknow Uttar Pradesh, India | 72.0 | |
| 48 | Rawalpindi low-cost sensors Punjab, Pakistan | 71.1 | |
| 49 | Islamabad low-cost sensors Islamabad, Pakistan | 71.0 | |
| 50 | Gwalior Madhya Pradesh, India | 70.2 | |
| 51 | Najafgarh Delhi, India | 69.2 | |
| 52 | Ahmedabad Gujarat, India | 69.1 | |
| 53 | Boisar Maharashtra, India | 67.9 | |
| 54 | Kanpur Uttar Pradesh, India | 66.8 | |
| 55 | Chandigarh Chandigarh, India | 66.4 | |
| 56 | Kolkata West Bengal, India | 66.1 | |
| 57 | Gummidipundi Tamil Nadu, India | 65.1 | |
| 58 | Aya Nagar Delhi, India | 65.0 | |
| 59 | Saharsa Bihar, India | 64.6 | |
| 60 | Dubai low-cost sensors Dubai, United Arab Emirates | 64.1 | |
| 61 | Nagpur Maharashtra, India | 62.8 | |
| 62 | Kaithal Haryana, India | 60.1 | |
| 63 | Haldia West Bengal, India | 59.8 | |
| 64 | Naharlagun Arunachal Pradesh, India | 58.9 | |
| 65 | Kota Rajasthan, India | 58.3 | |
| 66 | Changchun low-cost sensors Jilin, China | 57.5 | |
| 67 | Phuntsholing low-cost sensors Chukha, Bhutan | 57.2 | |
| 68 | Talghar low-cost sensors Almaty Region, Kazakhstan | 57.0 | |
| 69 | Cuttack Odisha, India | 56.9 | |
| 70 | Bahawalpur low-cost sensors Punjab, Pakistan | 56.6 | |
| 71 | Kalyān Maharashtra, India | 56.5 | |
| 71 | Lagos low-cost sensors Lagos, Nigeria | 56.5 | |
| 73 | Jalgaon Maharashtra, India | 56.4 | |
| 74 | Chittorgarh Rajasthan, India | 55.8 | |
| 75 | Arrah Bihar, India | 54.8 | |
| 76 | Badlapur Maharashtra, India | 54.4 | |
| 77 | Rānīganj West Bengal, India | 53.5 | |
| 77 | Bellinzona Ticino, Switzerland | 53.5 | |
| 79 | Patna Bihar, India | 53.1 | |
| 80 | Kadapa Andhra Pradesh, India | 53.0 | |
| 81 | Begusarai Bihar, India | 52.9 | |
| 82 | Pune Maharashtra, India | 52.7 | |
| 83 | Morādābād Uttar Pradesh, India | 52.5 | |
| 83 | Bhiwandi Maharashtra, India | 52.5 | |
| 83 | Barbil Odisha, India | 52.5 | |
| 86 | Sukuta low-cost sensors Western, Gambia | 51.3 | |
| 87 | Kharghar Maharashtra, India | 50.7 | |
| 88 | Mahād Maharashtra, India | 49.5 | |
| 89 | Almaty low-cost sensors Almaty, Kazakhstan | 49.1 | |
| 89 | Banja Luka Srpska, Bosnia and Herzegovina | 49.1 | |
| 91 | Patiāla Punjab, India | 48.7 | |
| 92 | Jalandhar Punjab, India | 48.6 | |
| 93 | Bhubaneswar Odisha, India | 48.5 | |
| 94 | Bhilwara Rajasthan, India | 48.2 | |
| 95 | Shillong Meghalaya, India | 48.1 | |
| 96 | Ambāla Haryana, India | 47.7 | |
| 97 | Byasanagar Odisha, India | 47.0 | |
| 98 | Springdale Arkansas, United States | 46.6 | |
| 99 | Dhaulpur Rajasthan, India | 46.5 | |
| 100 | Gandhinagar Gujarat, India | 46.3 | |
| 101 | Durgapur West Bengal, India | 46.2 | |
| 102 | Arāria Bihar, India | 45.5 | |
| 103 | Sāngli Maharashtra, India | 45.3 | |
| 104 | Ropar Punjab, India | 45.1 | |
| 104 | Nanded Maharashtra, India | 45.1 | |
| 106 | Zacatepec de Hidalgo Morelos, Mexico | 44.8 | |
| 107 | Bijelo Polje Bijelo Polje, Montenegro | 44.6 | |
| 108 | Ankleshwar Gujarat, India | 44.5 | |
| 109 | Rourkela Odisha, India | 44.4 | |
| 110 | Bettiah Bihar, India | 44.3 | |
| 111 | Lugano Ticino, Switzerland | 44.1 | |
| 112 | Būndi Rajasthan, India | 43.9 | |
| 113 | Jalor Rajasthan, India | 43.6 | |
| 114 | Shrīrāmpur West Bengal, India | 43.5 | |
| 115 | Ajmer Rajasthan, India | 43.4 | |
| 116 | Sawai Madhopur Rajasthan, India | 43.3 | |
| 116 | Buxar Bihar, India | 43.3 | |
| 116 | Anantapur Andhra Pradesh, India | 43.3 | |
| 119 | Aurangabad Maharashtra, India | 43.1 | |
| 120 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 42.7 | |
| 121 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 42.2 | |
| 122 | Baripāda Odisha, India | 41.7 | |
| 122 | Aguascalientes Aguascalientes, Mexico | 41.7 | |
| 124 | Latur Maharashtra, India | 41.3 | |
| 125 | Gaya Bihar, India | 41.2 | |
| 126 | Jhunjhunūn Rajasthan, India | 41.0 | |
| 126 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 41.0 | |
| 128 | Bharatpur Rajasthan, India | 40.8 | |
| 128 | Sai Mai low-cost sensors Bangkok, Thailand | 40.8 | |
| 130 | Wake Forest low-cost sensors North Carolina, United States | 40.1 | |
| 131 | Brikama low-cost sensors Western, Gambia | 39.9 | |
| 132 | Karauli Rajasthan, India | 39.8 | |
| 133 | Agra Uttar Pradesh, India | 39.6 | |
| 134 | Tirupati Andhra Pradesh, India | 39.5 | |
| 134 | Amravati Maharashtra, India | 39.5 | |
| 134 | Radomsko Łódź Voivodeship, Poland | 39.5 | |
| 137 | Bangkok low-cost sensors Bangkok, Thailand | 39.4 | |
| 138 | Indore Madhya Pradesh, India | 39.1 | |
| 139 | Sīkar Rajasthan, India | 38.7 | |
| 139 | Chānda Maharashtra, India | 38.7 | |
| 141 | Vijayawada Andhra Pradesh, India | 38.6 | |
| 142 | Sholapur Maharashtra, India | 38.3 | |
| 142 | Akola Maharashtra, India | 38.3 | |
| 144 | Virār Maharashtra, India | 38.2 | |
| 144 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 38.2 | |
| 146 | Chūru Rajasthan, India | 37.9 | |
| 146 | San Salvador Tizatlalli México, Mexico | 37.9 | |
| 148 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 37.6 | |
| 149 | Āsansol West Bengal, India | 37.5 | |
| 149 | Uttaradit low-cost sensors Uttaradit, Thailand | 37.5 | |
| 151 | Jodhpur Rajasthan, India | 37.3 | |
| 152 | Closepet Karnataka, India | 37.1 | |
| 153 | Jaipur Rajasthan, India | 37.0 | |
| 154 | Pljevlja Pljevlja, Montenegro | 36.9 | |
| 155 | Silchar Assam, India | 36.8 | |
| 155 | Dūngarpur Rajasthan, India | 36.8 | |
| 157 | Mumbai Maharashtra, India | 36.7 | |
| 157 | Tema low-cost sensors Greater Accra, Ghana | 36.7 | |
| 159 | Jhālāwār Rajasthan, India | 36.2 | |
| 159 | Mexicali Baja California, Mexico | 36.2 | |
| 161 | Dausa Rajasthan, India | 35.4 | |
| 162 | Pimpri-Chinchwad Maharashtra, India | 35.2 | |
| 163 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 34.9 | |
| 163 | Korhogo low-cost sensors Savanes District, Ivory Coast | 34.9 | |
| 165 | Guwahati Assam, India | 34.2 | |
| 166 | Aizawl Mizoram, India | 34.0 | |
| 166 | Ashaiman low-cost sensors Greater Accra, Ghana | 34.0 | |
| 168 | Yadgir Karnataka, India | 33.9 | |
| 168 | San Luis Potosí San Luis Potosí, Mexico | 33.9 | |
| 170 | Cayenne Guyane, French Guiana | 33.8 | |
| 171 | Thāne Maharashtra, India | 33.5 | |
| 172 | Siwān Bihar, India | 33.4 | |
| 172 | Sri Ganganagar Rajasthan, India | 33.4 | |
| 174 | Hyderabad Telangana, India | 33.3 | |
| 175 | Dhule Maharashtra, India | 33.2 | |
| 176 | Burunday low-cost sensors Almaty Region, Kazakhstan | 33.1 | |
| 177 | Chittoor Andhra Pradesh, India | 33.0 | |
| 178 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 32.6 | |
| 179 | Panvel Maharashtra, India | 32.3 | |
| 180 | Tirumala Andhra Pradesh, India | 32.1 | |
| 180 | Ahilyanagar Maharashtra, India | 32.1 | |
| 180 | Medina Estates low-cost sensors Greater Accra, Ghana | 32.1 | |
| 183 | San Francisco Tlalcilalcalpan México, Mexico | 32.0 | |
| 184 | Prayagraj Uttar Pradesh, India | 31.7 | |
| 184 | Zgierz Łódź Voivodeship, Poland | 31.7 | |
| 186 | Kourou Guyane, French Guiana | 31.6 | |
| 187 | Rājgīr Bihar, India | 31.2 | |
| 187 | Jaisalmer Rajasthan, India | 31.2 | |
| 187 | Spartanburg South Carolina, United States | 31.2 | |
| 190 | Bengaluru Karnataka, India | 30.9 | |
| 191 | Bikaner Rajasthan, India | 30.8 | |
| 191 | Łask Łódź Voivodeship, Poland | 30.8 | |
| 193 | Pratāpgarh Rajasthan, India | 30.6 | |
| 193 | Fengshan Takao, Taiwan | 30.6 | |
| 195 | Bhayandar Maharashtra, India | 30.5 | |
| 196 | Bhilai Chhattisgarh, India | 30.4 | |
| 196 | Silao de la Victoria Guanajuato, Mexico | 30.4 | |
| 198 | Vapi Gujarat, India | 30.3 | |
| 199 | Coimbatore Tamil Nadu, India | 30.2 | |
| 199 | Kłodzko Lower Silesia, Poland | 30.2 |
Top 200 of 2,234 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