SmogRank / History / week of May 19, 2025
Most polluted cities, week of May 19, 2025
2,338 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 | Cuddalore Tamil Nadu, India | 271.9 | |
| 2 | Navalpattu Tamil Nadu, India | 201.3 | |
| 3 | Santa Anita - Los Ficus Lima region, Peru | 76.8 | |
| 4 | Dushanbe Dushanbe, Tajikistan | 73.6 | |
| 5 | Aya Nagar Delhi, India | 69.3 | |
| 6 | Baddi Himachal Pradesh, India | 67.5 | |
| 7 | Keonjhargarh Odisha, India | 67.4 | |
| 8 | Muzaffarnagar Uttar Pradesh, India | 64.3 | |
| 9 | Dubai low-cost sensors Dubai, United Arab Emirates | 61.4 | |
| 10 | Narela Delhi, India | 60.9 | |
| 11 | Tonk Rajasthan, India | 59.7 | |
| 12 | Najafgarh Delhi, India | 53.8 | |
| 13 | Hanumāngarh Rajasthan, India | 53.5 | |
| 14 | Kharghar Maharashtra, India | 53.3 | |
| 15 | Delhi Delhi, India | 52.4 | |
| 16 | Patiāla Punjab, India | 51.7 | |
| 16 | Bārmer Rajasthan, India | 51.7 | |
| 18 | Jalandhar Punjab, India | 51.5 | |
| 19 | Bhiwandi Maharashtra, India | 50.8 | |
| 20 | Manama Manama, Bahrain | 49.7 | |
| 21 | Tirupati Andhra Pradesh, India | 49.1 | |
| 22 | Lucknow Uttar Pradesh, India | 48.9 | |
| 23 | Gandhinagar Gujarat, India | 48.8 | |
| 24 | Islamabad low-cost sensors Islamabad, Pakistan | 47.7 | |
| 25 | Ajmer Rajasthan, India | 46.0 | |
| 26 | Vereeniging low-cost sensors Gauteng, South Africa | 45.7 | |
| 27 | Bhelai Chhattisgarh, India | 45.4 | |
| 27 | Ahmedabad Gujarat, India | 45.4 | |
| 29 | Bhiwadi Rajasthan, India | 44.9 | |
| 30 | Jaipur Rajasthan, India | 44.6 | |
| 31 | Hacienda Santa Fe Jalisco, Mexico | 44.3 | |
| 32 | Tlaquepaque Jalisco, Mexico | 43.0 | |
| 33 | Ghāziābād Uttar Pradesh, India | 42.4 | |
| 34 | Sri Ganganagar Rajasthan, India | 42.1 | |
| 35 | Kalyān Maharashtra, India | 41.8 | |
| 36 | Noida Uttar Pradesh, India | 40.7 | |
| 37 | Anantapur Andhra Pradesh, India | 40.6 | |
| 38 | Vapi Gujarat, India | 40.5 | |
| 39 | Mangaluru Karnataka, India | 40.2 | |
| 39 | Hyderabad Telangana, India | 40.2 | |
| 41 | Chūru Rajasthan, India | 40.1 | |
| 42 | Jodhpur Rajasthan, India | 39.6 | |
| 43 | Rishīkesh Uttarakhand, India | 39.2 | |
| 43 | Lima Lima Province, Peru | 39.2 | |
| 45 | Chittorgarh Rajasthan, India | 39.1 | |
| 46 | Sawai Madhopur Rajasthan, India | 38.8 | |
| 47 | Panvel Maharashtra, India | 37.9 | |
| 48 | Wadgaon Kolhati Maharashtra, India | 37.8 | |
| 49 | Bharatpur Rajasthan, India | 37.7 | |
| 50 | Jalgaon Maharashtra, India | 37.5 | |
| 50 | Cholula Puebla, Mexico | 37.5 | |
| 52 | Atlixco Puebla, Mexico | 37.2 | |
| 53 | Gwalior Madhya Pradesh, India | 37.1 | |
| 54 | Undera Gujarat, India | 36.2 | |
| 55 | Kanpur Uttar Pradesh, India | 35.9 | |
| 56 | Sīkar Rajasthan, India | 35.6 | |
| 57 | Prayagraj Uttar Pradesh, India | 35.5 | |
| 58 | Agra Uttar Pradesh, India | 34.9 | |
| 59 | Nashik Maharashtra, India | 34.7 | |
| 59 | Jakarta Jakarta, Indonesia | 34.7 | |
| 61 | Kigali Kigali, Rwanda | 34.6 | |
| 61 | Jhunjhunūn Rajasthan, India | 34.6 | |
| 63 | Tiruchirappalli Tamil Nadu, India | 34.0 | |
| 64 | Ankleshwar Gujarat, India | 33.8 | |
| 65 | Badlapur Maharashtra, India | 33.7 | |
| 66 | Nagpur Maharashtra, India | 33.5 | |
| 66 | Kanchipuram Tamil Nadu, India | 33.5 | |
| 68 | Vijayawada Andhra Pradesh, India | 33.4 | |
| 69 | Dūngarpur Rajasthan, India | 33.3 | |
| 70 | Chandigarh Chandigarh, India | 33.1 | |
| 71 | Virār Maharashtra, India | 32.9 | |
| 72 | Hājīpur Bihar, India | 32.8 | |
| 73 | Dādri Uttar Pradesh, India | 32.2 | |
| 74 | Nāgaur Rajasthan, India | 32.0 | |
| 74 | Gaya Bihar, India | 32.0 | |
| 76 | Bikaner Rajasthan, India | 31.8 | |
| 77 | Tirupparangunram Tamil Nadu, India | 31.6 | |
| 77 | Kota Rajasthan, India | 31.6 | |
| 79 | Surat Gujarat, India | 31.4 | |
| 79 | Patna Bihar, India | 31.4 | |
| 79 | Dausa Rajasthan, India | 31.4 | |
| 79 | San Francisco De Borja Lima region, Peru | 31.4 | |
| 83 | Callao Callao, Peru | 30.2 | |
| 84 | Rourkela Odisha, India | 29.4 | |
| 84 | Shenyang Liaoning, China | 29.4 | |
| 86 | Mohali Punjab, India | 29.3 | |
| 87 | Vellore Tamil Nadu, India | 29.0 | |
| 87 | Mixquiahuala de Juárez Hidalgo, Mexico | 29.0 | |
| 89 | Apizaco Tlaxcala, Mexico | 28.6 | |
| 90 | Bhopal Madhya Pradesh, India | 28.4 | |
| 91 | Meerut Uttar Pradesh, India | 28.0 | |
| 92 | Mahād Maharashtra, India | 27.8 | |
| 93 | Sāngli Maharashtra, India | 27.7 | |
| 93 | Ciudad Benito Juárez Nuevo León, Mexico | 27.7 | |
| 95 | Thāne Maharashtra, India | 27.6 | |
| 95 | Bhilwara Rajasthan, India | 27.6 | |
| 97 | Būndi Rajasthan, India | 27.5 | |
| 97 | Tehuacán Puebla, Mexico | 27.5 | |
| 97 | Ciudad Nezahualcoyotl México, Mexico | 27.5 | |
| 100 | Tulancingo Hidalgo, Mexico | 27.3 | |
| 101 | Naucalpan de Juárez México, Mexico | 26.7 | |
| 102 | Tepeji del Río de Ocampo Hidalgo, Mexico | 26.6 | |
| 103 | Gummidipundi Tamil Nadu, India | 26.3 | |
| 104 | Bhayandar Maharashtra, India | 26.1 | |
| 105 | Chennai Tamil Nadu, India | 26.0 | |
| 106 | Guadalajara Jalisco, Mexico | 25.8 | |
| 107 | Santa Catarina Nuevo León, Mexico | 25.4 | |
| 108 | Rasapūdipalem Andhra Pradesh, India | 25.2 | |
| 109 | Morelia Michoacán, Mexico | 25.1 | |
| 109 | Monterrey Nuevo León, Mexico | 25.1 | |
| 111 | Aguascalientes Aguascalientes, Mexico | 25.0 | |
| 112 | Istanbul low-cost sensors Istanbul, Turkey | 24.7 | |
| 113 | Mumbai Maharashtra, India | 24.4 | |
| 113 | Bhāgalpur Bihar, India | 24.4 | |
| 113 | Santa Anita Jalisco, Mexico | 24.4 | |
| 116 | Mexico City Mexico City, Mexico | 24.2 | |
| 117 | Tambaram Tamil Nadu, India | 24.1 | |
| 118 | Boisar Maharashtra, India | 24.0 | |
| 119 | Rājsamand Rajasthan, India | 23.8 | |
| 119 | Jabalpur Madhya Pradesh, India | 23.8 | |
| 121 | Puebla Puebla, Mexico | 23.5 | |
| 122 | Saugor Madhya Pradesh, India | 23.3 | |
| 122 | Amravati Maharashtra, India | 23.3 | |
| 124 | Aurangabad Maharashtra, India | 23.2 | |
| 124 | Pachuca de Soto Hidalgo, Mexico | 23.2 | |
| 124 | Greater Noida Uttar Pradesh, India | 23.2 | |
| 127 | Neelankarai Tamil Nadu, India | 23.1 | |
| 128 | San Martin Texmelucan de Labastida Puebla, Mexico | 23.0 | |
| 128 | Ciudad Juárez Chihuahua, Mexico | 23.0 | |
| 130 | Buxar Bihar, India | 22.8 | |
| 130 | Tlaxcala Tlaxcala, Mexico | 22.8 | |
| 130 | Victoria de Durango Durango, Mexico | 22.8 | |
| 133 | Jalor Rajasthan, India | 22.7 | |
| 134 | Hāpur Uttar Pradesh, India | 22.4 | |
| 135 | Pimpri-Chinchwad Maharashtra, India | 22.1 | |
| 136 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 22.0 | |
| 136 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 22.0 | |
| 136 | Ansfelden Upper Austria, Austria | 22.0 | |
| 139 | Vijayapura Karnataka, India | 21.9 | |
| 140 | Pratāpgarh Rajasthan, India | 21.8 | |
| 141 | Silchar Assam, India | 21.7 | |
| 142 | Coimbatore Tamil Nadu, India | 21.6 | |
| 143 | Bengaluru Karnataka, India | 21.1 | |
| 143 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 21.1 | |
| 145 | Zapopan Jalisco, Mexico | 21.0 | |
| 145 | Laredo Texas, United States | 21.0 | |
| 147 | Ciudad General Escobedo Nuevo León, Mexico | 20.8 | |
| 147 | Celaya Guanajuato, Mexico | 20.8 | |
| 149 | Cadereyta Jiménez Nuevo León, Mexico | 20.7 | |
| 149 | San Luis Potosí San Luis Potosí, Mexico | 20.7 | |
| 149 | Santiago de Querétaro Querétaro, Mexico | 20.7 | |
| 152 | Kolhāpur Maharashtra, India | 20.6 | |
| 153 | Tepic Nayarit, Mexico | 20.5 | |
| 154 | Nagaon Assam, India | 20.4 | |
| 154 | Tula de Allende Hidalgo, Mexico | 20.4 | |
| 156 | Kolkata West Bengal, India | 20.3 | |
| 156 | Ōtsuki Yamanashi, Japan | 20.3 | |
| 158 | Rānīganj West Bengal, India | 20.0 | |
| 158 | Dhaulpur Rajasthan, India | 20.0 | |
| 158 | San Juan del Río Querétaro, Mexico | 20.0 | |
| 158 | Edinburg Texas, United States | 20.0 | |
| 162 | Tirumala Andhra Pradesh, India | 19.8 | |
| 163 | Yamanashi Yamanashi, Japan | 19.7 | |
| 164 | Akola Maharashtra, India | 19.3 | |
| 164 | Sai Mai low-cost sensors Bangkok, Thailand | 19.3 | |
| 166 | Indore Madhya Pradesh, India | 19.0 | |
| 166 | Santa Monica low-cost sensors California, United States | 19.0 | |
| 168 | Ariyalūr Tamil Nadu, India | 18.9 | |
| 169 | Tomioka Gunma, Japan | 18.8 | |
| 170 | Guangzhou Guangdong, China | 18.7 | |
| 170 | Mission Texas, United States | 18.7 | |
| 172 | Nandri Rajasthan, India | 18.4 | |
| 173 | Salem Tamil Nadu, India | 18.3 | |
| 173 | San Miguel de Allende Guanajuato, Mexico | 18.3 | |
| 175 | Sirohi Rajasthan, India | 18.1 | |
| 175 | Morādābād Uttar Pradesh, India | 18.1 | |
| 175 | Madikeri Karnataka, India | 18.1 | |
| 178 | Bārān Rajasthan, India | 18.0 | |
| 178 | Wan Chai Wan Chai, Hong Kong | 18.0 | |
| 178 | Ourense Galicia, Spain | 18.0 | |
| 181 | Jaisalmer Rajasthan, India | 17.9 | |
| 182 | Gudalur Tamil Nadu, India | 17.8 | |
| 182 | Guwahati Assam, India | 17.8 | |
| 184 | Rangiora Canterbury, New Zealand | 17.7 | |
| 185 | Brownsville Texas, United States | 17.6 | |
| 186 | La Providencia Siglo XXI Hidalgo, Mexico | 17.5 | |
| 187 | Mima Tokushima, Japan | 17.4 | |
| 188 | Rairangpur Odisha, India | 17.3 | |
| 189 | Saijō Ehime, Japan | 16.9 | |
| 190 | Mérida Yucatán, Mexico | 16.8 | |
| 190 | Corpus Christi Texas, United States | 16.8 | |
| 192 | Uozu Toyama, Japan | 16.6 | |
| 192 | Ikedachō Tokushima, Japan | 16.6 | |
| 192 | Ayase Kanagawa, Japan | 16.6 | |
| 195 | Kurayoshi Tottori, Japan | 16.5 | |
| 196 | Āsansol West Bengal, India | 16.4 | |
| 196 | Shibukawa Gunma, Japan | 16.4 | |
| 198 | Pune Maharashtra, India | 16.3 | |
| 198 | Bangkok low-cost sensors Bangkok, Thailand | 16.3 | |
| 200 | Iloilo low-cost sensors Western Visayas, Philippines | 16.2 |
Top 200 of 2,338 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