SmogRank / History / week of March 31, 2025
Most polluted cities, week of March 31, 2025
2,192 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 | Dādri Uttar Pradesh, India | 150.8 | |
| 2 | Cuddalore Tamil Nadu, India | 108.9 | |
| 3 | Ghāziābād Uttar Pradesh, India | 94.7 | |
| 4 | Hājīpur Bihar, India | 94.6 | |
| 5 | Narela Delhi, India | 92.3 | |
| 6 | Sasarām Bihar, India | 87.5 | |
| 7 | Guwahati Assam, India | 82.4 | |
| 8 | Siwān Bihar, India | 81.9 | |
| 9 | Rourkela Odisha, India | 81.3 | |
| 10 | Singrauli Madhya Pradesh, India | 78.2 | |
| 11 | Meerut Uttar Pradesh, India | 77.6 | |
| 12 | Bāghpat Uttar Pradesh, India | 73.3 | |
| 13 | Barbil Odisha, India | 72.6 | |
| 14 | Gwalior Madhya Pradesh, India | 71.8 | |
| 15 | Gangtok Sikkim, India | 71.3 | |
| 16 | Begusarai Bihar, India | 70.6 | |
| 17 | Delhi Delhi, India | 69.9 | |
| 18 | Nagpur Maharashtra, India | 69.4 | |
| 19 | Lucknow Uttar Pradesh, India | 69.0 | |
| 20 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 68.0 | |
| 21 | Gandhinagar Gujarat, India | 67.9 | |
| 22 | Najafgarh Delhi, India | 67.8 | |
| 23 | Ropar Punjab, India | 66.7 | |
| 24 | Ankleshwar Gujarat, India | 65.8 | |
| 25 | Sāngli Maharashtra, India | 65.1 | |
| 26 | Jalandhar Punjab, India | 64.8 | |
| 26 | Vapi Gujarat, India | 64.8 | |
| 28 | Patna Bihar, India | 63.4 | |
| 29 | Kharghar Maharashtra, India | 62.0 | |
| 30 | Sri Ganganagar Rajasthan, India | 61.9 | |
| 31 | Bhelai Chhattisgarh, India | 60.3 | |
| 32 | Āsansol West Bengal, India | 59.8 | |
| 33 | Rairangpur Odisha, India | 59.4 | |
| 34 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 59.1 | |
| 35 | Hanumāngarh Rajasthan, India | 58.9 | |
| 36 | Nagaon Assam, India | 58.6 | |
| 37 | Angul Odisha, India | 58.2 | |
| 38 | Mahād Maharashtra, India | 57.8 | |
| 39 | Chittorgarh Rajasthan, India | 57.4 | |
| 40 | Nashik Maharashtra, India | 57.0 | |
| 41 | Sawai Madhopur Rajasthan, India | 55.7 | |
| 42 | Bhiwadi Rajasthan, India | 55.5 | |
| 43 | Tumkūr Karnataka, India | 55.2 | |
| 44 | Chānda Maharashtra, India | 54.7 | |
| 44 | Naharlagun Arunachal Pradesh, India | 54.7 | |
| 46 | Latur Maharashtra, India | 53.5 | |
| 47 | Ahmedabad Gujarat, India | 53.0 | |
| 48 | Badlapur Maharashtra, India | 52.8 | |
| 49 | Rānīganj West Bengal, India | 51.7 | |
| 50 | Jalgaon Maharashtra, India | 51.1 | |
| 51 | Aurangabad Maharashtra, India | 50.2 | |
| 52 | Muzaffarnagar Uttar Pradesh, India | 50.1 | |
| 53 | Panvel Maharashtra, India | 49.8 | |
| 54 | Agra Uttar Pradesh, India | 49.6 | |
| 55 | Thāne Maharashtra, India | 49.5 | |
| 56 | Closepet Karnataka, India | 49.2 | |
| 57 | Baripāda Odisha, India | 48.9 | |
| 58 | Boisar Maharashtra, India | 48.8 | |
| 58 | Noida Uttar Pradesh, India | 48.8 | |
| 60 | Amravati Maharashtra, India | 48.7 | |
| 60 | Pimpri-Chinchwad Maharashtra, India | 48.7 | |
| 62 | Bānswāra Rajasthan, India | 47.9 | |
| 63 | Saharsa Bihar, India | 47.4 | |
| 63 | Chandigarh Chandigarh, India | 47.4 | |
| 65 | Arāria Bihar, India | 47.0 | |
| 66 | Patiāla Punjab, India | 46.5 | |
| 67 | Belagavi Karnataka, India | 46.4 | |
| 68 | Kalyān Maharashtra, India | 46.2 | |
| 69 | Buxar Bihar, India | 46.0 | |
| 70 | Pune Maharashtra, India | 45.9 | |
| 71 | Akola Maharashtra, India | 45.5 | |
| 72 | Ajmer Rajasthan, India | 45.0 | |
| 73 | Wadgaon Kolhati Maharashtra, India | 44.7 | |
| 74 | Bhāgalpur Bihar, India | 44.6 | |
| 74 | Baddi Himachal Pradesh, India | 44.6 | |
| 76 | Tlaquepaque Jalisco, Mexico | 44.4 | |
| 77 | Victoria de Durango Durango, Mexico | 44.2 | |
| 78 | Kanpur Uttar Pradesh, India | 44.0 | |
| 79 | Bhiwandi Maharashtra, India | 43.8 | |
| 80 | Kota Rajasthan, India | 43.7 | |
| 80 | Anantapur Andhra Pradesh, India | 43.7 | |
| 82 | Kolkata West Bengal, India | 43.5 | |
| 83 | Bhilwara Rajasthan, India | 43.3 | |
| 84 | Dhaulpur Rajasthan, India | 43.1 | |
| 85 | Sholapur Maharashtra, India | 43.0 | |
| 86 | Dhule Maharashtra, India | 42.6 | |
| 87 | Bettiah Bihar, India | 42.5 | |
| 88 | Rājgīr Bihar, India | 42.3 | |
| 89 | Durgapur West Bengal, India | 42.2 | |
| 90 | Tonk Rajasthan, India | 41.9 | |
| 91 | Jaipur Rajasthan, India | 41.7 | |
| 92 | Hāpur Uttar Pradesh, India | 41.6 | |
| 93 | Bharatpur Rajasthan, India | 41.5 | |
| 94 | Gaya Bihar, India | 41.0 | |
| 95 | Jodhpur Rajasthan, India | 40.7 | |
| 96 | Pratāpgarh Rajasthan, India | 40.6 | |
| 97 | Jhālāwār Rajasthan, India | 40.4 | |
| 98 | Mohali Punjab, India | 40.3 | |
| 99 | Vijayawada Andhra Pradesh, India | 39.9 | |
| 100 | Dausa Rajasthan, India | 39.5 | |
| 101 | Indore Madhya Pradesh, India | 39.1 | |
| 102 | Gummidipundi Tamil Nadu, India | 38.9 | |
| 102 | Durg Chhattisgarh, India | 38.9 | |
| 104 | Byasanagar Odisha, India | 38.8 | |
| 105 | Shrīrāmpur West Bengal, India | 38.7 | |
| 106 | Rishīkesh Uttarakhand, India | 38.2 | |
| 107 | Rājsamand Rajasthan, India | 37.5 | |
| 108 | Cholula Puebla, Mexico | 37.2 | |
| 109 | Shillong Meghalaya, India | 37.1 | |
| 110 | Jhunjhunūn Rajasthan, India | 37.0 | |
| 111 | Sai Mai low-cost sensors Bangkok, Thailand | 36.7 | |
| 112 | Mumbai Maharashtra, India | 36.6 | |
| 113 | Jabalpur Madhya Pradesh, India | 36.4 | |
| 114 | Istanbul low-cost sensors Istanbul, Turkey | 36.3 | |
| 114 | Prayagraj Uttar Pradesh, India | 36.3 | |
| 116 | Sīkar Rajasthan, India | 36.1 | |
| 117 | Serilingampalle Telangana, India | 35.6 | |
| 118 | Srinagar Jammu and Kashmir, India | 35.3 | |
| 119 | Kadapa Andhra Pradesh, India | 35.1 | |
| 120 | Dūngarpur Rajasthan, India | 34.8 | |
| 121 | Tirumala Andhra Pradesh, India | 34.6 | |
| 122 | Nanded Maharashtra, India | 34.4 | |
| 123 | Nāgaur Rajasthan, India | 34.2 | |
| 124 | Dubai low-cost sensors Dubai, United Arab Emirates | 33.9 | |
| 125 | El Paso Texas, United States | 33.7 | |
| 126 | Bikaner Rajasthan, India | 33.6 | |
| 127 | Chūru Rajasthan, India | 33.4 | |
| 127 | Sunland Park New Mexico, United States | 33.4 | |
| 129 | Raipur Chhattisgarh, India | 33.3 | |
| 130 | Virār Maharashtra, India | 32.9 | |
| 131 | Jalor Rajasthan, India | 32.7 | |
| 132 | Jastrzębie Zdrój Silesia, Poland | 32.5 | |
| 133 | Ciudad Juárez Chihuahua, Mexico | 32.3 | |
| 134 | Bhubaneswar Odisha, India | 32.1 | |
| 135 | Socorro Texas, United States | 31.9 | |
| 136 | Saugor Madhya Pradesh, India | 31.8 | |
| 137 | Coimbatore Tamil Nadu, India | 31.7 | |
| 138 | Morādābād Uttar Pradesh, India | 31.5 | |
| 138 | Bhopal Madhya Pradesh, India | 31.5 | |
| 140 | San Luis de la Paz Guanajuato, Mexico | 31.4 | |
| 141 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 31.0 | |
| 141 | Greater Noida Uttar Pradesh, India | 31.0 | |
| 143 | Valjevo Central Serbia, Serbia | 30.6 | |
| 144 | Parbhani Maharashtra, India | 30.0 | |
| 145 | Būndi Rajasthan, India | 29.8 | |
| 146 | Bhayandar Maharashtra, India | 29.7 | |
| 147 | Cuttack Odisha, India | 29.5 | |
| 148 | Bengaluru Karnataka, India | 29.3 | |
| 149 | Novi Pazar Central Serbia, Serbia | 29.2 | |
| 149 | Vereeniging low-cost sensors Gauteng, South Africa | 29.2 | |
| 151 | Jaisalmer Rajasthan, India | 28.7 | |
| 152 | Bangkok low-cost sensors Bangkok, Thailand | 28.2 | |
| 153 | Monterrey Nuevo León, Mexico | 27.7 | |
| 154 | Rasapūdipalem Andhra Pradesh, India | 27.6 | |
| 155 | Ciudad Nezahualcoyotl México, Mexico | 27.3 | |
| 156 | Bārān Rajasthan, India | 26.8 | |
| 157 | Calexico California, United States | 26.5 | |
| 158 | Neelankarai Tamil Nadu, India | 26.3 | |
| 159 | Tehuacán Puebla, Mexico | 26.0 | |
| 160 | Santa Catarina Nuevo León, Mexico | 25.9 | |
| 161 | Hacienda Santa Fe Jalisco, Mexico | 25.8 | |
| 162 | Kolhāpur Maharashtra, India | 25.5 | |
| 163 | Saltillo Coahuila, Mexico | 25.3 | |
| 164 | Irapuato Guanajuato, Mexico | 24.8 | |
| 165 | Chaozhou Taiwan, Taiwan | 24.7 | |
| 165 | Apizaco Tlaxcala, Mexico | 24.7 | |
| 167 | Skellefteå Västerbotten, Sweden | 24.6 | |
| 168 | Hyderabad Telangana, India | 24.5 | |
| 168 | Joda Odisha, India | 24.5 | |
| 170 | Fengshan Takao, Taiwan | 24.4 | |
| 170 | Bielsko-Biala Silesia, Poland | 24.4 | |
| 172 | Niš Central Serbia, Serbia | 24.3 | |
| 173 | Chikmagalūr Karnataka, India | 24.2 | |
| 174 | Sirohi Rajasthan, India | 24.0 | |
| 175 | Żywiec Silesia, Poland | 23.9 | |
| 176 | Yadgir Karnataka, India | 23.8 | |
| 177 | Mixquiahuala de Juárez Hidalgo, Mexico | 23.6 | |
| 178 | Amaravati Andhra Pradesh, India | 23.5 | |
| 179 | Tulancingo Hidalgo, Mexico | 23.4 | |
| 179 | Ciudad Benito Juárez Nuevo León, Mexico | 23.4 | |
| 181 | Jincheng Fukien, Taiwan | 23.3 | |
| 181 | Tuen Mun Tuen Mun, Hong Kong | 23.3 | |
| 183 | Chennai Tamil Nadu, India | 22.8 | |
| 183 | Karauli Rajasthan, India | 22.8 | |
| 185 | Obrenovac Central Serbia, Serbia | 22.7 | |
| 185 | Tirupparangunram Tamil Nadu, India | 22.7 | |
| 185 | Kaohsiung Takao, Taiwan | 22.7 | |
| 188 | Užice Central Serbia, Serbia | 22.6 | |
| 189 | Dushanbe Dushanbe, Tajikistan | 22.4 | |
| 190 | Corpus Christi Texas, United States | 22.3 | |
| 191 | Surat Gujarat, India | 22.2 | |
| 191 | Wan Chai Wan Chai, Hong Kong | 22.2 | |
| 193 | Mexico City Mexico City, Mexico | 21.9 | |
| 194 | Nandri Rajasthan, India | 21.8 | |
| 195 | Silao de la Victoria Guanajuato, Mexico | 21.5 | |
| 196 | Hubballi Karnataka, India | 21.4 | |
| 196 | Yongkang Taiwan, Taiwan | 21.4 | |
| 196 | Erlun Taiwan, Taiwan | 21.4 | |
| 199 | Łask Łódź Voivodeship, Poland | 21.0 | |
| 199 | Naucalpan de Juárez México, Mexico | 21.0 |
Top 200 of 2,192 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