SmogRank / History / April 2025
Most polluted cities, April 2025
2,133 cities ranked by their average PM2.5 over the 30 days. A city needs measurements on 70% of the days to be ranked.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Santa Anita Jalisco, Mexico | 147.2 | |
| 2 | Narela Delhi, India | 103.1 | |
| 3 | Dādri Uttar Pradesh, India | 98.8 | |
| 4 | Meerut Uttar Pradesh, India | 87.7 | |
| 5 | Singrauli Madhya Pradesh, India | 83.6 | |
| 6 | Ghāziābād Uttar Pradesh, India | 79.8 | |
| 7 | Sasarām Bihar, India | 78.0 | |
| 8 | Gandhinagar Gujarat, India | 74.0 | |
| 9 | Delhi Delhi, India | 72.8 | |
| 10 | Bhiwadi Rajasthan, India | 72.0 | |
| 11 | Rourkela Odisha, India | 70.9 | |
| 12 | Lucknow Uttar Pradesh, India | 70.7 | |
| 13 | Gwalior Madhya Pradesh, India | 69.1 | |
| 14 | Najafgarh Delhi, India | 68.4 | |
| 15 | Sri Ganganagar Rajasthan, India | 64.3 | |
| 16 | Muzaffarnagar Uttar Pradesh, India | 63.6 | |
| 17 | Nagpur Maharashtra, India | 56.0 | |
| 18 | Bhelai Chhattisgarh, India | 55.7 | |
| 19 | Patna Bihar, India | 55.4 | |
| 20 | Ahmedabad Gujarat, India | 55.3 | |
| 21 | Jaipur Rajasthan, India | 54.7 | |
| 22 | Noida Uttar Pradesh, India | 52.2 | |
| 23 | Sawai Madhopur Rajasthan, India | 52.0 | |
| 24 | Patiāla Punjab, India | 51.8 | |
| 25 | Ajmer Rajasthan, India | 50.9 | |
| 26 | Jalandhar Punjab, India | 50.2 | |
| 27 | Latur Maharashtra, India | 48.6 | |
| 28 | Jalgaon Maharashtra, India | 47.8 | |
| 29 | Chittorgarh Rajasthan, India | 47.5 | |
| 30 | Dausa Rajasthan, India | 46.7 | |
| 31 | Angul Odisha, India | 46.2 | |
| 32 | Chandigarh Chandigarh, India | 45.7 | |
| 33 | Guwahati Assam, India | 45.3 | |
| 34 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 45.0 | |
| 35 | Badlapur Maharashtra, India | 44.7 | |
| 36 | Nashik Maharashtra, India | 44.5 | |
| 37 | Mohali Punjab, India | 44.0 | |
| 38 | Sholapur Maharashtra, India | 43.7 | |
| 39 | Kota Rajasthan, India | 43.6 | |
| 40 | Kalyān Maharashtra, India | 43.4 | |
| 41 | Chūru Rajasthan, India | 43.3 | |
| 42 | Akola Maharashtra, India | 42.8 | |
| 43 | Jhālāwār Rajasthan, India | 42.4 | |
| 44 | Ankleshwar Gujarat, India | 41.4 | |
| 45 | Mahād Maharashtra, India | 41.3 | |
| 45 | Bārān Rajasthan, India | 41.3 | |
| 47 | Chānda Maharashtra, India | 41.2 | |
| 47 | Agra Uttar Pradesh, India | 41.2 | |
| 49 | Kanpur Uttar Pradesh, India | 40.9 | |
| 49 | Gaya Bihar, India | 40.9 | |
| 51 | Bhiwandi Maharashtra, India | 40.6 | |
| 51 | Serilingampalle Telangana, India | 40.6 | |
| 51 | Kharghar Maharashtra, India | 40.6 | |
| 54 | Vijayawada Andhra Pradesh, India | 40.5 | |
| 55 | Jhunjhunūn Rajasthan, India | 40.3 | |
| 56 | Bānswāra Rajasthan, India | 40.2 | |
| 57 | Baddi Himachal Pradesh, India | 39.6 | |
| 58 | Hāpur Uttar Pradesh, India | 38.8 | |
| 59 | Anantapur Andhra Pradesh, India | 38.4 | |
| 60 | Rānīganj West Bengal, India | 38.3 | |
| 61 | Aurangabad Maharashtra, India | 38.1 | |
| 62 | Thāne Maharashtra, India | 37.8 | |
| 63 | Āsansol West Bengal, India | 37.7 | |
| 64 | Amravati Maharashtra, India | 37.6 | |
| 65 | Vapi Gujarat, India | 37.4 | |
| 66 | Rishīkesh Uttarakhand, India | 37.3 | |
| 66 | Pune Maharashtra, India | 37.3 | |
| 68 | Victoria de Durango Durango, Mexico | 37.1 | |
| 69 | Bhilwara Rajasthan, India | 37.0 | |
| 70 | Jodhpur Rajasthan, India | 36.9 | |
| 71 | Buxar Bihar, India | 36.7 | |
| 72 | Sīkar Rajasthan, India | 36.6 | |
| 73 | Bharatpur Rajasthan, India | 36.5 | |
| 74 | Kolkata West Bengal, India | 36.4 | |
| 75 | Panvel Maharashtra, India | 35.9 | |
| 76 | Dubai low-cost sensors Dubai, United Arab Emirates | 35.8 | |
| 76 | Tonk Rajasthan, India | 35.8 | |
| 76 | Pimpri-Chinchwad Maharashtra, India | 35.8 | |
| 79 | Indore Madhya Pradesh, India | 35.7 | |
| 79 | Wadgaon Kolhati Maharashtra, India | 35.7 | |
| 81 | Saugor Madhya Pradesh, India | 35.6 | |
| 81 | Keonjhargarh Odisha, India | 35.6 | |
| 83 | Dushanbe Dushanbe, Tajikistan | 35.5 | |
| 84 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 35.4 | |
| 85 | Cholula Puebla, Mexico | 35.1 | |
| 86 | Tlaquepaque Jalisco, Mexico | 34.8 | |
| 87 | Tirumala Andhra Pradesh, India | 34.7 | |
| 88 | Bettiah Bihar, India | 34.1 | |
| 89 | Nāgaur Rajasthan, India | 33.8 | |
| 90 | Baripāda Odisha, India | 33.5 | |
| 91 | Logroño La Rioja, Spain | 32.5 | |
| 92 | Hyderabad Telangana, India | 32.3 | |
| 92 | Puebla Puebla, Mexico | 32.3 | |
| 94 | Gummidipundi Tamil Nadu, India | 32.2 | |
| 95 | Pratāpgarh Rajasthan, India | 31.7 | |
| 96 | Coimbatore Tamil Nadu, India | 30.8 | |
| 97 | Greater Noida Uttar Pradesh, India | 30.5 | |
| 98 | Kolhāpur Maharashtra, India | 30.3 | |
| 99 | Hacienda Santa Fe Jalisco, Mexico | 30.2 | |
| 100 | Ciudad Nezahualcoyotl México, Mexico | 30.0 | |
| 101 | Yadgir Karnataka, India | 29.9 | |
| 102 | Jalor Rajasthan, India | 29.8 | |
| 102 | Ciudad Juárez Chihuahua, Mexico | 29.8 | |
| 104 | Byasanagar Odisha, India | 29.7 | |
| 105 | Shrīrāmpur West Bengal, India | 29.4 | |
| 105 | Nanded Maharashtra, India | 29.4 | |
| 105 | Dhaulpur Rajasthan, India | 29.4 | |
| 108 | Wan Chai Wan Chai, Hong Kong | 29.3 | |
| 109 | Istanbul low-cost sensors Istanbul, Turkey | 29.0 | |
| 109 | Morādābād Uttar Pradesh, India | 29.0 | |
| 111 | Jaisalmer Rajasthan, India | 28.9 | |
| 112 | Cuttack Odisha, India | 28.7 | |
| 113 | Dūngarpur Rajasthan, India | 28.3 | |
| 113 | Sunland Park New Mexico, United States | 28.3 | |
| 113 | El Paso Texas, United States | 28.3 | |
| 116 | Cuernavaca Morelos, Mexico | 28.0 | |
| 117 | Bengaluru Karnataka, India | 27.8 | |
| 118 | Tehuacán Puebla, Mexico | 27.4 | |
| 119 | Neelankarai Tamil Nadu, India | 27.2 | |
| 120 | Novi Pazar Central Serbia, Serbia | 27.0 | |
| 120 | Parbhani Maharashtra, India | 27.0 | |
| 122 | Jabalpur Madhya Pradesh, India | 26.7 | |
| 123 | Jincheng Fukien, Taiwan | 26.6 | |
| 124 | Karauli Rajasthan, India | 26.4 | |
| 124 | Durg Chhattisgarh, India | 26.4 | |
| 124 | Sai Mai low-cost sensors Bangkok, Thailand | 26.4 | |
| 127 | San Luis de la Paz Guanajuato, Mexico | 26.1 | |
| 128 | Virār Maharashtra, India | 25.9 | |
| 129 | Bārmer Rajasthan, India | 25.7 | |
| 130 | Mixquiahuala de Juárez Hidalgo, Mexico | 25.6 | |
| 131 | Mumbai Maharashtra, India | 25.5 | |
| 132 | Zacatepec de Hidalgo Morelos, Mexico | 25.1 | |
| 133 | Durgapur West Bengal, India | 25.0 | |
| 133 | Tuen Mun Tuen Mun, Hong Kong | 25.0 | |
| 135 | Santa Catarina Nuevo León, Mexico | 24.8 | |
| 136 | Raipur Chhattisgarh, India | 24.7 | |
| 137 | Bhubaneswar Odisha, India | 24.6 | |
| 138 | Cuautla Morelos, Mexico | 24.3 | |
| 138 | Mexico City Mexico City, Mexico | 24.3 | |
| 140 | Vereeniging low-cost sensors Gauteng, South Africa | 24.1 | |
| 141 | Rājsamand Rajasthan, India | 24.0 | |
| 142 | Socorro Texas, United States | 23.9 | |
| 143 | Mong Kok Yau Tsim Mong District, Hong Kong | 23.8 | |
| 144 | Nandri Rajasthan, India | 23.7 | |
| 145 | Irapuato Guanajuato, Mexico | 23.6 | |
| 146 | Erlun Taiwan, Taiwan | 23.2 | |
| 147 | Aguascalientes Aguascalientes, Mexico | 23.1 | |
| 148 | Guadalajara Jalisco, Mexico | 22.9 | |
| 149 | Fanling North District, Hong Kong | 22.2 | |
| 150 | Bangkok low-cost sensors Bangkok, Thailand | 22.0 | |
| 151 | Tulancingo Hidalgo, Mexico | 21.9 | |
| 152 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 21.7 | |
| 152 | Monterrey Nuevo León, Mexico | 21.7 | |
| 154 | San Tung Chung Hang Islands, Hong Kong | 21.6 | |
| 155 | Douliu Taiwan, Taiwan | 21.5 | |
| 155 | Yuanlin Taiwan, Taiwan | 21.5 | |
| 157 | Hubballi Karnataka, India | 21.3 | |
| 158 | Taibao Taiwan, Taiwan | 21.2 | |
| 159 | Buzi Taiwan, Taiwan | 21.0 | |
| 159 | Erlin Taiwan, Taiwan | 21.0 | |
| 161 | Chennai Tamil Nadu, India | 20.8 | |
| 161 | Taoyuan Taiwan, Taiwan | 20.8 | |
| 163 | Niš Central Serbia, Serbia | 20.7 | |
| 163 | Tai Po Tai Po, Hong Kong | 20.7 | |
| 165 | Tin Shui Wai Yuen Long, Hong Kong | 20.6 | |
| 166 | Ciudad Benito Juárez Nuevo León, Mexico | 20.5 | |
| 167 | Yongkang Taiwan, Taiwan | 20.3 | |
| 167 | Taichung Taiwan, Taiwan | 20.3 | |
| 167 | Hsinchu Taiwan, Taiwan | 20.3 | |
| 167 | Tsuen Wan Tsuen Wan, Hong Kong | 20.3 | |
| 167 | Kwai Chung Kwai Tsing District, Hong Kong | 20.3 | |
| 172 | Neili Taiwan, Taiwan | 20.2 | |
| 172 | Fengshan Takao, Taiwan | 20.2 | |
| 174 | Nantou Taiwan, Taiwan | 20.1 | |
| 175 | Xinying Taiwan, Taiwan | 20.0 | |
| 175 | Beigang Taiwan, Taiwan | 20.0 | |
| 177 | Changhua Taiwan, Taiwan | 19.9 | |
| 178 | Obrenovac Central Serbia, Serbia | 19.8 | |
| 178 | Shivamogga Karnataka, India | 19.8 | |
| 178 | Tainan Taiwan, Taiwan | 19.8 | |
| 178 | Zhushan Taiwan, Taiwan | 19.8 | |
| 178 | Victoria Central and Western, Hong Kong | 19.8 | |
| 178 | Tepic Nayarit, Mexico | 19.8 | |
| 184 | Xizhou Taiwan, Taiwan | 19.7 | |
| 184 | Zhubei Taiwan, Taiwan | 19.7 | |
| 186 | Addis Ababa Addis Ababa, Ethiopia | 19.6 | |
| 186 | Taipei Taiwan, Taiwan | 19.6 | |
| 188 | Silao de la Victoria Guanajuato, Mexico | 19.5 | |
| 189 | Chaozhou Taiwan, Taiwan | 19.3 | |
| 189 | Sham Shui Po Sham Shui Po District, Hong Kong | 19.3 | |
| 191 | Toufen Taiwan, Taiwan | 19.2 | |
| 191 | San Juan del Río Querétaro, Mexico | 19.2 | |
| 191 | León de los Aldama Guanajuato, Mexico | 19.2 | |
| 194 | Kaohsiung Takao, Taiwan | 19.1 | |
| 194 | Chiayi City Taiwan, Taiwan | 19.1 | |
| 196 | New Taipei City Taipei, Taiwan | 19.0 | |
| 197 | Zapopan Jalisco, Mexico | 18.9 | |
| 198 | Kalaburagi Karnataka, India | 18.8 | |
| 198 | Sau Mau Ping Kwun Tong District, Hong Kong | 18.8 | |
| 198 | Celaya Guanajuato, Mexico | 18.8 |
Top 200 of 2,133 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