SmogRank / History / week of March 10, 2025
Most polluted cities, week of March 10, 2025
2,137 cities ranked by their average PM2.5 over the 7 days. A city needs measurements on 70% of the days to be ranked.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Dera Māndi Delhi, India | 118.4 | |
| 2 | Hājīpur Bihar, India | 117.6 | |
| 3 | Angul Odisha, India | 106.4 | |
| 4 | Ghāziābād Uttar Pradesh, India | 105.4 | |
| 5 | Rourkela Odisha, India | 95.3 | |
| 6 | Narela Delhi, India | 93.5 | |
| 7 | Durgapur West Bengal, India | 86.7 | |
| 7 | Barbil Odisha, India | 86.7 | |
| 9 | Singrauli Madhya Pradesh, India | 86.5 | |
| 10 | Sasarām Bihar, India | 83.4 | |
| 11 | Sri Ganganagar Rajasthan, India | 80.2 | |
| 12 | Patna Bihar, India | 77.7 | |
| 13 | Rairangpur Odisha, India | 77.1 | |
| 14 | Delhi Delhi, India | 74.2 | |
| 15 | Rānīganj West Bengal, India | 73.6 | |
| 16 | Nagpur Maharashtra, India | 73.0 | |
| 17 | Bhelai Chhattisgarh, India | 72.8 | |
| 18 | Lucknow Uttar Pradesh, India | 71.0 | |
| 19 | Baripāda Odisha, India | 70.0 | |
| 20 | Jalgaon Maharashtra, India | 69.0 | |
| 21 | Guwahati Assam, India | 68.4 | |
| 22 | Najafgarh Delhi, India | 68.2 | |
| 23 | Latur Maharashtra, India | 66.0 | |
| 24 | Āsansol West Bengal, India | 62.8 | |
| 25 | Badlapur Maharashtra, India | 62.0 | |
| 26 | Gwalior Madhya Pradesh, India | 61.8 | |
| 27 | Nanded Maharashtra, India | 61.2 | |
| 27 | Gurugram Haryana, India | 61.2 | |
| 29 | Hanumāngarh Rajasthan, India | 60.8 | |
| 30 | Ankleshwar Gujarat, India | 60.5 | |
| 31 | Bettiah Bihar, India | 60.3 | |
| 32 | Bhāgalpur Bihar, India | 60.1 | |
| 33 | Ahmedabad Gujarat, India | 60.0 | |
| 34 | Begusarai Bihar, India | 59.3 | |
| 35 | Saharsa Bihar, India | 57.8 | |
| 36 | Kalyān Maharashtra, India | 57.6 | |
| 37 | Sholapur Maharashtra, India | 57.4 | |
| 38 | Bhiwadi Rajasthan, India | 56.6 | |
| 39 | Nashik Maharashtra, India | 56.4 | |
| 39 | Chānda Maharashtra, India | 56.4 | |
| 41 | Mahād Maharashtra, India | 56.2 | |
| 42 | Akola Maharashtra, India | 55.7 | |
| 43 | Kanpur Uttar Pradesh, India | 54.9 | |
| 44 | Byasanagar Odisha, India | 54.8 | |
| 45 | Dādri Uttar Pradesh, India | 54.4 | |
| 46 | Muzaffarnagar Uttar Pradesh, India | 53.8 | |
| 47 | Shillong Meghalaya, India | 53.7 | |
| 48 | Malegaon Maharashtra, India | 53.6 | |
| 48 | Buxar Bihar, India | 53.6 | |
| 50 | Noida Uttar Pradesh, India | 52.6 | |
| 51 | Ajmer Rajasthan, India | 52.4 | |
| 51 | Serilingampalle Telangana, India | 52.4 | |
| 53 | Pimpri-Chinchwad Maharashtra, India | 51.6 | |
| 54 | Dhule Maharashtra, India | 51.4 | |
| 55 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 50.8 | |
| 56 | Aurangabad Maharashtra, India | 50.5 | |
| 57 | Parbhani Maharashtra, India | 50.0 | |
| 58 | Mumbai Maharashtra, India | 49.2 | |
| 58 | Boisar Maharashtra, India | 49.2 | |
| 60 | Poznań Greater Poland, Poland | 49.0 | |
| 61 | Kaunas Kaunas, Lithuania | 48.9 | |
| 61 | Virār Maharashtra, India | 48.9 | |
| 63 | Vilnius Vilnius, Lithuania | 48.4 | |
| 64 | Sāngli Maharashtra, India | 48.3 | |
| 65 | Bhiwandi Maharashtra, India | 48.1 | |
| 66 | Thāne Maharashtra, India | 47.4 | |
| 67 | Dubai low-cost sensors Dubai, United Arab Emirates | 46.9 | |
| 67 | Gaya Bihar, India | 46.9 | |
| 69 | Bharatpur Rajasthan, India | 46.6 | |
| 70 | Amravati Maharashtra, India | 46.5 | |
| 71 | Dhaulpur Rajasthan, India | 46.2 | |
| 72 | Kalisz Greater Poland, Poland | 45.7 | |
| 73 | Hāpur Uttar Pradesh, India | 45.5 | |
| 74 | Kolkata West Bengal, India | 45.1 | |
| 75 | Kolhāpur Maharashtra, India | 45.0 | |
| 76 | Tumkūr Karnataka, India | 44.7 | |
| 77 | Cholula Puebla, Mexico | 44.1 | |
| 78 | Dushanbe Dushanbe, Tajikistan | 43.9 | |
| 79 | Patiāla Punjab, India | 43.5 | |
| 80 | Bhayandar Maharashtra, India | 43.2 | |
| 81 | Prayagraj Uttar Pradesh, India | 42.8 | |
| 82 | Włocławek Kujawsko-Pomorskie, Poland | 42.4 | |
| 83 | Pune Maharashtra, India | 42.3 | |
| 84 | Gandhinagar Gujarat, India | 42.2 | |
| 85 | Shrīrāmpur West Bengal, India | 42.1 | |
| 86 | Kota Rajasthan, India | 42.0 | |
| 87 | Mangaluru Karnataka, India | 41.9 | |
| 88 | Jhunjhunūn Rajasthan, India | 41.6 | |
| 89 | Chandigarh Chandigarh, India | 41.5 | |
| 90 | Istanbul low-cost sensors Istanbul, Turkey | 41.2 | |
| 90 | Baddi Himachal Pradesh, India | 41.2 | |
| 92 | Augustów Podlasie, Poland | 41.1 | |
| 93 | Jodhpur Rajasthan, India | 40.9 | |
| 94 | Victoria de Durango Durango, Mexico | 40.7 | |
| 95 | Bhilwara Rajasthan, India | 40.6 | |
| 96 | Novi Pazar Central Serbia, Serbia | 40.3 | |
| 96 | Toruń Kujawsko-Pomorskie, Poland | 40.3 | |
| 96 | Guadalajara Jalisco, Mexico | 40.3 | |
| 99 | Otwock Mazovia, Poland | 40.1 | |
| 99 | Stodůlky low-cost sensors Prague, Czechia | 40.1 | |
| 101 | Bikaner Rajasthan, India | 39.8 | |
| 102 | Gummidipundi Tamil Nadu, India | 39.5 | |
| 103 | Dūngarpur Rajasthan, India | 38.7 | |
| 104 | Łask Łódź Voivodeship, Poland | 38.5 | |
| 104 | Tlaquepaque Jalisco, Mexico | 38.5 | |
| 106 | Cuttack Odisha, India | 38.4 | |
| 107 | Yerevan low-cost sensors Yerevan, Armenia | 37.8 | |
| 107 | Chūru Rajasthan, India | 37.8 | |
| 109 | Raipur Chhattisgarh, India | 37.7 | |
| 109 | Nagaon Assam, India | 37.7 | |
| 111 | Mohali Punjab, India | 37.6 | |
| 112 | Durg Chhattisgarh, India | 37.5 | |
| 113 | Dausa Rajasthan, India | 37.4 | |
| 114 | Nāgaur Rajasthan, India | 36.9 | |
| 115 | Jaipur Rajasthan, India | 36.8 | |
| 115 | Chittorgarh Rajasthan, India | 36.8 | |
| 117 | Sīkar Rajasthan, India | 36.5 | |
| 118 | Arrah Bihar, India | 36.4 | |
| 119 | Gangtok Sikkim, India | 36.1 | |
| 120 | Sunland Park New Mexico, United States | 35.8 | |
| 121 | Bydgoszcz Kujawsko-Pomorskie, Poland | 35.7 | |
| 122 | Dej Cluj County, Romania | 35.6 | |
| 123 | Bhubaneswar Odisha, India | 35.5 | |
| 124 | Būndi Rajasthan, India | 35.4 | |
| 124 | Gorzów Wielkopolski Lubusz, Poland | 35.4 | |
| 126 | Ełk Warmia-Masuria, Poland | 35.2 | |
| 127 | Kalaburagi Karnataka, India | 34.9 | |
| 127 | Bānswāra Rajasthan, India | 34.9 | |
| 129 | Jhālāwār Rajasthan, India | 34.8 | |
| 130 | Yadgir Karnataka, India | 34.3 | |
| 131 | Vijayawada Andhra Pradesh, India | 34.2 | |
| 131 | Sai Mai low-cost sensors Bangkok, Thailand | 34.2 | |
| 133 | Agra Uttar Pradesh, India | 34.1 | |
| 134 | Calafat Dolj, Romania | 33.8 | |
| 135 | Ropar Punjab, India | 33.6 | |
| 136 | Tonk Rajasthan, India | 33.0 | |
| 136 | Coimbatore Tamil Nadu, India | 33.0 | |
| 138 | Morādābād Uttar Pradesh, India | 32.8 | |
| 138 | Cuddalore Tamil Nadu, India | 32.8 | |
| 140 | Hyderabad Telangana, India | 32.6 | |
| 141 | Indore Madhya Pradesh, India | 32.3 | |
| 142 | Jaisalmer Rajasthan, India | 32.1 | |
| 143 | Faridabad Haryana, India | 32.0 | |
| 143 | San Salvador Tizatlalli México, Mexico | 32.0 | |
| 145 | Żyrardów Mazovia, Poland | 31.9 | |
| 146 | Thessaloníki Central Macedonia, Greece | 31.8 | |
| 147 | Jalandhar Punjab, India | 31.4 | |
| 148 | Wrocław Lower Silesia, Poland | 31.2 | |
| 149 | Hacienda Santa Fe Jalisco, Mexico | 31.1 | |
| 150 | Pratāpgarh Rajasthan, India | 30.9 | |
| 151 | Niš Central Serbia, Serbia | 30.8 | |
| 152 | Suwałki Podlasie, Poland | 30.7 | |
| 152 | Olsztyn Warmia-Masuria, Poland | 30.7 | |
| 154 | Warsaw Mazovia, Poland | 30.5 | |
| 154 | Kadapa Andhra Pradesh, India | 30.5 | |
| 156 | Chiayi City Taiwan, Taiwan | 30.4 | |
| 156 | Quthbullapur Telangana, India | 30.4 | |
| 158 | Legionowo Mazovia, Poland | 30.2 | |
| 159 | Greater Noida Uttar Pradesh, India | 30.1 | |
| 160 | Białystok Podlasie, Poland | 29.8 | |
| 160 | Karauli Rajasthan, India | 29.8 | |
| 160 | Szczecin West Pomerania, Poland | 29.8 | |
| 163 | Tirupparangunram Tamil Nadu, India | 29.7 | |
| 163 | Ciudad Juárez Chihuahua, Mexico | 29.7 | |
| 165 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 29.6 | |
| 165 | Beigang Taiwan, Taiwan | 29.6 | |
| 167 | Ciechanów Mazovia, Poland | 29.5 | |
| 167 | Ciudad Benito Juárez Nuevo León, Mexico | 29.5 | |
| 169 | Anantapur Andhra Pradesh, India | 29.4 | |
| 169 | Łódź Łódź Voivodeship, Poland | 29.4 | |
| 171 | Rasapūdipalem Andhra Pradesh, India | 29.3 | |
| 171 | Xinying Taiwan, Taiwan | 29.3 | |
| 173 | Douliu Taiwan, Taiwan | 29.1 | |
| 174 | Sawai Madhopur Rajasthan, India | 29.0 | |
| 175 | Erlun Taiwan, Taiwan | 28.9 | |
| 176 | Bengaluru Karnataka, India | 28.8 | |
| 177 | Jelenia Góra Lower Silesia, Poland | 28.6 | |
| 178 | Pruszków Mazovia, Poland | 28.5 | |
| 178 | Valjevo Central Serbia, Serbia | 28.5 | |
| 180 | San Francisco Tlalcilalcalpan México, Mexico | 28.3 | |
| 181 | Kłodzko Lower Silesia, Poland | 28.1 | |
| 182 | Bangkok low-cost sensors Bangkok, Thailand | 28.0 | |
| 182 | Tainan Taiwan, Taiwan | 28.0 | |
| 184 | Teltow Brandenburg, Germany | 27.7 | |
| 185 | Jalor Rajasthan, India | 27.3 | |
| 185 | Żary Lubusz, Poland | 27.3 | |
| 187 | Berlin State of Berlin, Germany | 26.8 | |
| 187 | Płock Mazovia, Poland | 26.8 | |
| 189 | Ciudad Nezahualcoyotl México, Mexico | 26.7 | |
| 190 | Closepet Karnataka, India | 26.6 | |
| 191 | Konstancin-Jeziorna Mazovia, Poland | 26.5 | |
| 191 | Elbląg Warmia-Masuria, Poland | 26.5 | |
| 193 | Wawer Mazovia, Poland | 26.4 | |
| 193 | Cottbus Brandenburg, Germany | 26.4 | |
| 195 | Radom Mazovia, Poland | 26.2 | |
| 196 | San Luis de la Paz Guanajuato, Mexico | 26.1 | |
| 197 | Yongkang Taiwan, Taiwan | 26.0 | |
| 197 | Zielona Góra Lubusz, Poland | 26.0 | |
| 199 | Oranienburg Brandenburg, Germany | 25.8 | |
| 199 | Frankfurt (Oder) Brandenburg, Germany | 25.8 |
Top 200 of 2,137 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