SmogRank / History / week of April 28, 2025
Most polluted cities, week of April 28, 2025
1,624 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 | Bikaner Rajasthan, India | 110.5 | |
| 2 | Gandhinagar Gujarat, India | 100.2 | |
| 3 | Narela Delhi, India | 92.6 | |
| 4 | Sri Ganganagar Rajasthan, India | 83.0 | |
| 5 | Delhi Delhi, India | 72.4 | |
| 6 | Hanumāngarh Rajasthan, India | 69.8 | |
| 7 | Lucknow Uttar Pradesh, India | 68.3 | |
| 8 | Navalpattu Tamil Nadu, India | 68.2 | |
| 9 | Najafgarh Delhi, India | 67.7 | |
| 10 | Ghāziābād Uttar Pradesh, India | 67.3 | |
| 11 | Muzaffarnagar Uttar Pradesh, India | 66.1 | |
| 12 | Kota Rajasthan, India | 63.9 | |
| 13 | Bhiwadi Rajasthan, India | 60.5 | |
| 14 | Jaipur Rajasthan, India | 60.2 | |
| 14 | Baddi Himachal Pradesh, India | 60.2 | |
| 16 | Gwalior Madhya Pradesh, India | 58.9 | |
| 17 | Sīkar Rajasthan, India | 58.5 | |
| 17 | Noida Uttar Pradesh, India | 58.5 | |
| 19 | Nagaon Assam, India | 57.2 | |
| 20 | Ahmedabad Gujarat, India | 57.1 | |
| 21 | Dushanbe Dushanbe, Tajikistan | 56.7 | |
| 22 | Būndi Rajasthan, India | 52.2 | |
| 23 | Rourkela Odisha, India | 52.1 | |
| 24 | Jalandhar Punjab, India | 51.1 | |
| 25 | Singrauli Madhya Pradesh, India | 50.2 | |
| 26 | Bārān Rajasthan, India | 49.9 | |
| 27 | Dādri Uttar Pradesh, India | 49.5 | |
| 28 | Malegaon Maharashtra, India | 49.3 | |
| 29 | Chūru Rajasthan, India | 49.0 | |
| 30 | Tiruchirappalli Tamil Nadu, India | 48.8 | |
| 31 | Patiāla Punjab, India | 48.6 | |
| 32 | Chandigarh Chandigarh, India | 48.2 | |
| 33 | Sasarām Bihar, India | 47.9 | |
| 34 | Jalgaon Maharashtra, India | 47.8 | |
| 35 | Yadgir Karnataka, India | 46.8 | |
| 36 | Latur Maharashtra, India | 46.7 | |
| 37 | Manama Manama, Bahrain | 46.5 | |
| 38 | Dausa Rajasthan, India | 46.3 | |
| 39 | Jhunjhunūn Rajasthan, India | 46.1 | |
| 40 | Jhālāwār Rajasthan, India | 45.7 | |
| 41 | Sawai Madhopur Rajasthan, India | 45.4 | |
| 42 | Kanpur Uttar Pradesh, India | 45.2 | |
| 43 | Mohali Punjab, India | 44.8 | |
| 44 | Jaisalmer Rajasthan, India | 44.4 | |
| 45 | Sholapur Maharashtra, India | 44.2 | |
| 46 | Bārmer Rajasthan, India | 44.0 | |
| 47 | Nagpur Maharashtra, India | 43.8 | |
| 48 | Chittorgarh Rajasthan, India | 43.7 | |
| 49 | Ajmer Rajasthan, India | 43.2 | |
| 50 | Nāgaur Rajasthan, India | 42.6 | |
| 50 | Meerut Uttar Pradesh, India | 42.6 | |
| 52 | Rishīkesh Uttarakhand, India | 41.9 | |
| 53 | Kalyān Maharashtra, India | 40.9 | |
| 54 | Dhule Maharashtra, India | 40.3 | |
| 55 | Bhilwara Rajasthan, India | 40.1 | |
| 56 | Hājīpur Bihar, India | 39.2 | |
| 57 | Kigali Kigali, Rwanda | 39.1 | |
| 57 | Jalor Rajasthan, India | 39.1 | |
| 57 | Cholula Puebla, Mexico | 39.1 | |
| 60 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 38.7 | |
| 61 | Kolkata West Bengal, India | 38.5 | |
| 62 | Akola Maharashtra, India | 38.3 | |
| 63 | Tonk Rajasthan, India | 38.0 | |
| 64 | Ciudad Nezahualcoyotl México, Mexico | 37.4 | |
| 65 | Amravati Maharashtra, India | 37.0 | |
| 66 | Jakarta Jakarta, Indonesia | 36.9 | |
| 67 | Bāghpat Uttar Pradesh, India | 36.8 | |
| 67 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 36.8 | |
| 69 | Vijayawada Andhra Pradesh, India | 36.7 | |
| 70 | Gūduvāncheri Tamil Nadu, India | 36.2 | |
| 70 | Victoria de Durango Durango, Mexico | 36.2 | |
| 72 | Bānswāra Rajasthan, India | 36.1 | |
| 73 | Badlapur Maharashtra, India | 36.0 | |
| 74 | Aurangabad Maharashtra, India | 35.9 | |
| 75 | Cuttack Odisha, India | 35.8 | |
| 76 | Jodhpur Rajasthan, India | 35.5 | |
| 77 | Panvel Maharashtra, India | 34.8 | |
| 77 | San Martin Texmelucan de Labastida Puebla, Mexico | 34.8 | |
| 79 | Bhiwandi Maharashtra, India | 34.7 | |
| 79 | Atlixco Puebla, Mexico | 34.7 | |
| 81 | Rānīganj West Bengal, India | 34.6 | |
| 82 | Agra Uttar Pradesh, India | 34.1 | |
| 83 | Nashik Maharashtra, India | 33.8 | |
| 83 | Prayagraj Uttar Pradesh, India | 33.8 | |
| 85 | Bharatpur Rajasthan, India | 33.5 | |
| 86 | Dubai low-cost sensors Dubai, United Arab Emirates | 33.4 | |
| 86 | Mahād Maharashtra, India | 33.4 | |
| 88 | Angul Odisha, India | 33.3 | |
| 89 | Hyderabad Telangana, India | 33.0 | |
| 90 | Pune Maharashtra, India | 32.9 | |
| 91 | Quthbullapur Telangana, India | 32.5 | |
| 92 | Shillong Meghalaya, India | 32.4 | |
| 93 | Serilingampalle Telangana, India | 32.3 | |
| 94 | Kolhāpur Maharashtra, India | 31.9 | |
| 95 | Patna Bihar, India | 31.8 | |
| 95 | Sai Mai low-cost sensors Bangkok, Thailand | 31.8 | |
| 97 | Tirumala Andhra Pradesh, India | 31.7 | |
| 98 | Bhelai Chhattisgarh, India | 31.5 | |
| 99 | Hāpur Uttar Pradesh, India | 31.4 | |
| 99 | Āsansol West Bengal, India | 31.4 | |
| 101 | Naharlagun Arunachal Pradesh, India | 31.3 | |
| 102 | Mixquiahuala de Juárez Hidalgo, Mexico | 31.2 | |
| 103 | Wan Chai Wan Chai, Hong Kong | 30.8 | |
| 103 | Wadgaon Kolhati Maharashtra, India | 30.8 | |
| 105 | Irapuato Guanajuato, Mexico | 30.4 | |
| 106 | Keonjhargarh Odisha, India | 30.3 | |
| 106 | Karauli Rajasthan, India | 30.3 | |
| 108 | Kanchipuram Tamil Nadu, India | 29.9 | |
| 109 | Indore Madhya Pradesh, India | 29.6 | |
| 110 | Puebla Puebla, Mexico | 29.4 | |
| 111 | Tehuacán Puebla, Mexico | 29.1 | |
| 112 | Tepeji del Río de Ocampo Hidalgo, Mexico | 29.0 | |
| 113 | Nandri Rajasthan, India | 28.8 | |
| 114 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 28.6 | |
| 115 | Nanded Maharashtra, India | 28.4 | |
| 116 | Ankleshwar Gujarat, India | 28.1 | |
| 117 | Bangkok low-cost sensors Bangkok, Thailand | 28.0 | |
| 118 | Salem Tamil Nadu, India | 27.8 | |
| 119 | Greater Noida Uttar Pradesh, India | 27.7 | |
| 120 | Shrīrāmpur West Bengal, India | 27.6 | |
| 120 | Tulancingo Hidalgo, Mexico | 27.6 | |
| 122 | Morādābād Uttar Pradesh, India | 27.4 | |
| 123 | Guangzhou Guangdong, China | 27.3 | |
| 124 | Bengaluru Karnataka, India | 27.2 | |
| 125 | Gaya Bihar, India | 27.1 | |
| 126 | Pratāpgarh Rajasthan, India | 27.0 | |
| 127 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 26.6 | |
| 128 | Bhopal Madhya Pradesh, India | 26.3 | |
| 129 | Kharghar Maharashtra, India | 26.2 | |
| 130 | Coimbatore Tamil Nadu, India | 26.1 | |
| 130 | Morelia Michoacán, Mexico | 26.1 | |
| 132 | Saugor Madhya Pradesh, India | 25.9 | |
| 133 | Tlaxcala Tlaxcala, Mexico | 25.8 | |
| 134 | Thāne Maharashtra, India | 25.7 | |
| 135 | Dūngarpur Rajasthan, India | 25.6 | |
| 136 | Rasapūdipalem Andhra Pradesh, India | 25.5 | |
| 136 | Vapi Gujarat, India | 25.5 | |
| 138 | Shenyang Liaoning, China | 25.4 | |
| 138 | Mexico City Mexico City, Mexico | 25.4 | |
| 140 | Chāpra Bihar, India | 24.9 | |
| 141 | Sirohi Rajasthan, India | 24.8 | |
| 141 | Buxar Bihar, India | 24.8 | |
| 143 | Guwahati Assam, India | 24.7 | |
| 144 | Durgapur West Bengal, India | 24.4 | |
| 145 | Parbhani Maharashtra, India | 24.1 | |
| 146 | Arāria Bihar, India | 23.9 | |
| 146 | San Juan del Río Querétaro, Mexico | 23.9 | |
| 148 | Ariyalūr Tamil Nadu, India | 23.8 | |
| 148 | Tlaquepaque Jalisco, Mexico | 23.8 | |
| 150 | Pimpri-Chinchwad Maharashtra, India | 23.6 | |
| 151 | Dhaulpur Rajasthan, India | 23.5 | |
| 152 | Santiago de Querétaro Querétaro, Mexico | 23.3 | |
| 152 | Celaya Guanajuato, Mexico | 23.3 | |
| 154 | León de los Aldama Guanajuato, Mexico | 23.2 | |
| 155 | Vereeniging low-cost sensors Gauteng, South Africa | 23.1 | |
| 156 | Mong Kok Yau Tsim Mong District, Hong Kong | 23.0 | |
| 157 | Thanjavur Tamil Nadu, India | 22.6 | |
| 157 | Hubballi Karnataka, India | 22.6 | |
| 159 | Barbil Odisha, India | 22.5 | |
| 159 | Hacienda Santa Fe Jalisco, Mexico | 22.5 | |
| 161 | Tuen Mun Tuen Mun, Hong Kong | 22.3 | |
| 162 | Chānda Maharashtra, India | 22.1 | |
| 163 | Guadalajara Jalisco, Mexico | 22.0 | |
| 164 | Tai Po Tai Po, Hong Kong | 21.9 | |
| 165 | Říčany low-cost sensors Central Bohemia, Czechia | 21.7 | |
| 166 | Nalbāri Assam, India | 21.6 | |
| 166 | Sham Shui Po Sham Shui Po District, Hong Kong | 21.6 | |
| 168 | Kalaburagi Karnataka, India | 21.2 | |
| 168 | Tin Shui Wai Yuen Long, Hong Kong | 21.2 | |
| 170 | Sau Mau Ping Kwun Tong District, Hong Kong | 21.1 | |
| 171 | Silchar Assam, India | 21.0 | |
| 171 | Gummidipundi Tamil Nadu, India | 21.0 | |
| 173 | Jardines de la Silla Nuevo León, Mexico | 20.9 | |
| 173 | Byasanagar Odisha, India | 20.9 | |
| 175 | Kwai Chung Kwai Tsing District, Hong Kong | 20.7 | |
| 176 | Cuautla Morelos, Mexico | 20.6 | |
| 176 | Amaravati Andhra Pradesh, India | 20.6 | |
| 178 | Shivamogga Karnataka, India | 20.5 | |
| 178 | Pachuca de Soto Hidalgo, Mexico | 20.5 | |
| 180 | Silao de la Victoria Guanajuato, Mexico | 20.4 | |
| 181 | Zacatepec de Hidalgo Morelos, Mexico | 20.3 | |
| 181 | Tula de Allende Hidalgo, Mexico | 20.3 | |
| 181 | Santa Catarina Nuevo León, Mexico | 20.3 | |
| 184 | Victoria Central and Western, Hong Kong | 20.2 | |
| 185 | Salamanca Guanajuato, Mexico | 20.1 | |
| 186 | Fanling North District, Hong Kong | 20.0 | |
| 187 | Boisar Maharashtra, India | 19.8 | |
| 187 | Tsuen Wan Tsuen Wan, Hong Kong | 19.8 | |
| 189 | La Providencia Siglo XXI Hidalgo, Mexico | 19.6 | |
| 190 | Guanajuato Guanajuato, Mexico | 19.4 | |
| 191 | Virār Maharashtra, India | 19.3 | |
| 192 | San Tung Chung Hang Islands, Hong Kong | 19.1 | |
| 192 | Aberdeen Southern District, Hong Kong | 19.1 | |
| 194 | Istanbul low-cost sensors Istanbul, Turkey | 19.0 | |
| 194 | Aguascalientes Aguascalientes, Mexico | 19.0 | |
| 196 | Gudalur Tamil Nadu, India | 18.9 | |
| 197 | Baripāda Odisha, India | 18.8 | |
| 197 | Zagreb low-cost sensors Zagreb, Croatia | 18.8 | |
| 197 | Canvey Island England, United Kingdom | 18.8 | |
| 200 | Quezon City low-cost sensors National Capital Region, Philippines | 18.7 |
Top 200 of 1,624 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