SmogRank / History / week of May 12, 2025
Most polluted cities, week of May 12, 2025
2,243 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 | Aya Nagar Delhi, India | 111.8 | |
| 2 | Narela Delhi, India | 95.4 | |
| 3 | Muzaffarnagar Uttar Pradesh, India | 92.9 | |
| 4 | Patiāla Punjab, India | 83.5 | |
| 5 | Lucknow Uttar Pradesh, India | 82.8 | |
| 6 | Delhi Delhi, India | 76.7 | |
| 7 | Ghāziābād Uttar Pradesh, India | 72.2 | |
| 8 | Najafgarh Delhi, India | 70.2 | |
| 9 | Bhelai Chhattisgarh, India | 67.8 | |
| 10 | Santa Anita - Los Ficus Lima region, Peru | 66.9 | |
| 11 | Keonjhargarh Odisha, India | 63.5 | |
| 12 | Dushanbe Dushanbe, Tajikistan | 63.2 | |
| 13 | Manama Manama, Bahrain | 61.6 | |
| 14 | Jhālāwār Rajasthan, India | 60.1 | |
| 15 | Meerut Uttar Pradesh, India | 59.3 | |
| 15 | Jalandhar Punjab, India | 59.3 | |
| 15 | Badlapur Maharashtra, India | 59.3 | |
| 18 | Hanumāngarh Rajasthan, India | 57.6 | |
| 19 | Nagapattinam Tamil Nadu, India | 56.0 | |
| 20 | Mohali Punjab, India | 55.5 | |
| 21 | Bhiwadi Rajasthan, India | 55.2 | |
| 22 | Noida Uttar Pradesh, India | 55.0 | |
| 23 | Rourkela Odisha, India | 53.2 | |
| 24 | Mangaluru Karnataka, India | 52.9 | |
| 25 | Bāghpat Uttar Pradesh, India | 52.8 | |
| 26 | Dādri Uttar Pradesh, India | 50.6 | |
| 27 | Kanpur Uttar Pradesh, India | 50.2 | |
| 28 | Baddi Himachal Pradesh, India | 50.1 | |
| 29 | Gaya Bihar, India | 49.5 | |
| 30 | Hājīpur Bihar, India | 49.4 | |
| 31 | Cuttack Odisha, India | 48.6 | |
| 32 | Vereeniging low-cost sensors Gauteng, South Africa | 48.5 | |
| 33 | Hyderabad Telangana, India | 47.6 | |
| 34 | Jaipur Rajasthan, India | 47.2 | |
| 35 | Greater Noida Uttar Pradesh, India | 46.5 | |
| 36 | Gandhinagar Gujarat, India | 45.8 | |
| 36 | Joda Odisha, India | 45.8 | |
| 38 | Islamabad low-cost sensors Islamabad, Pakistan | 45.6 | |
| 39 | Ajmer Rajasthan, India | 45.0 | |
| 40 | Kalyān Maharashtra, India | 44.9 | |
| 41 | Gwalior Madhya Pradesh, India | 44.8 | |
| 42 | Sawai Madhopur Rajasthan, India | 44.5 | |
| 42 | Bhiwandi Maharashtra, India | 44.5 | |
| 44 | Karauli Rajasthan, India | 44.3 | |
| 45 | Amaravati Andhra Pradesh, India | 44.2 | |
| 46 | Cuddalore Tamil Nadu, India | 44.0 | |
| 47 | Anantapur Andhra Pradesh, India | 43.8 | |
| 48 | Angul Odisha, India | 43.7 | |
| 49 | Tirupati Andhra Pradesh, India | 43.3 | |
| 50 | Chandigarh Chandigarh, India | 43.2 | |
| 51 | Ahmedabad Gujarat, India | 42.9 | |
| 52 | Patna Bihar, India | 42.6 | |
| 53 | Callao Callao, Peru | 42.2 | |
| 54 | Vijayawada Andhra Pradesh, India | 41.7 | |
| 55 | Nagpur Maharashtra, India | 41.3 | |
| 55 | Prayagraj Uttar Pradesh, India | 41.3 | |
| 57 | Vellore Tamil Nadu, India | 41.2 | |
| 57 | Barbil Odisha, India | 41.2 | |
| 59 | Rasapūdipalem Andhra Pradesh, India | 40.9 | |
| 60 | Singrauli Madhya Pradesh, India | 40.5 | |
| 61 | Tonk Rajasthan, India | 40.1 | |
| 62 | Ciudad Juárez Chihuahua, Mexico | 38.8 | |
| 63 | Tirumala Andhra Pradesh, India | 38.4 | |
| 63 | Rairangpur Odisha, India | 38.4 | |
| 65 | Lima Lima Province, Peru | 38.1 | |
| 66 | Chūru Rajasthan, India | 37.7 | |
| 66 | Agra Uttar Pradesh, India | 37.7 | |
| 68 | Buxar Bihar, India | 37.5 | |
| 69 | Bhāgalpur Bihar, India | 37.0 | |
| 70 | Malegaon Maharashtra, India | 36.3 | |
| 70 | Dausa Rajasthan, India | 36.3 | |
| 72 | Sri Ganganagar Rajasthan, India | 35.6 | |
| 73 | Cholula Puebla, Mexico | 35.5 | |
| 74 | Ciudad Benito Juárez Nuevo León, Mexico | 35.4 | |
| 75 | Gummidipundi Tamil Nadu, India | 34.9 | |
| 76 | Hacienda Santa Fe Jalisco, Mexico | 34.6 | |
| 77 | Panvel Maharashtra, India | 34.1 | |
| 78 | Kigali Kigali, Rwanda | 33.8 | |
| 78 | Thāne Maharashtra, India | 33.8 | |
| 80 | Dhule Maharashtra, India | 33.3 | |
| 81 | Kolkata West Bengal, India | 33.0 | |
| 82 | Hāpur Uttar Pradesh, India | 32.7 | |
| 83 | Atlixco Puebla, Mexico | 32.6 | |
| 84 | Jhunjhunūn Rajasthan, India | 32.5 | |
| 84 | Sunland Park New Mexico, United States | 32.5 | |
| 86 | Chennai Tamil Nadu, India | 32.4 | |
| 86 | Aguascalientes Aguascalientes, Mexico | 32.4 | |
| 86 | Neelankarai Tamil Nadu, India | 32.4 | |
| 89 | Sīkar Rajasthan, India | 32.2 | |
| 90 | Serilingampalle Telangana, India | 32.1 | |
| 91 | Aurangabad Maharashtra, India | 31.7 | |
| 91 | Morelia Michoacán, Mexico | 31.7 | |
| 93 | Bhopal Madhya Pradesh, India | 31.2 | |
| 93 | Santa Catarina Nuevo León, Mexico | 31.2 | |
| 95 | Bhilwara Rajasthan, India | 31.0 | |
| 96 | Kadapa Andhra Pradesh, India | 30.9 | |
| 97 | Sāngli Maharashtra, India | 30.8 | |
| 98 | Monterrey Nuevo León, Mexico | 30.7 | |
| 99 | Byasanagar Odisha, India | 30.6 | |
| 100 | Dubai low-cost sensors Dubai, United Arab Emirates | 30.5 | |
| 101 | San Francisco De Borja Lima region, Peru | 30.4 | |
| 102 | Rānīganj West Bengal, India | 30.1 | |
| 103 | Bharatpur Rajasthan, India | 30.0 | |
| 103 | Wadgaon Kolhati Maharashtra, India | 30.0 | |
| 105 | García Nuevo León, Mexico | 29.8 | |
| 106 | Jakarta Jakarta, Indonesia | 29.7 | |
| 107 | Cadereyta Jiménez Nuevo León, Mexico | 29.5 | |
| 108 | Addis Ababa Addis Ababa, Ethiopia | 29.2 | |
| 109 | Tirupparangunram Tamil Nadu, India | 29.1 | |
| 109 | Saugor Madhya Pradesh, India | 29.1 | |
| 109 | Ankleshwar Gujarat, India | 29.1 | |
| 112 | Āsansol West Bengal, India | 29.0 | |
| 113 | Tiruchirappalli Tamil Nadu, India | 28.9 | |
| 114 | Tambaram Tamil Nadu, India | 28.8 | |
| 115 | Nāgaur Rajasthan, India | 28.6 | |
| 116 | Kolhāpur Maharashtra, India | 28.4 | |
| 117 | Akola Maharashtra, India | 28.3 | |
| 118 | Latur Maharashtra, India | 28.2 | |
| 119 | Dūngarpur Rajasthan, India | 28.1 | |
| 120 | Baripāda Odisha, India | 27.7 | |
| 121 | Chittorgarh Rajasthan, India | 27.6 | |
| 121 | Ciudad General Escobedo Nuevo León, Mexico | 27.6 | |
| 121 | Jardines de la Silla Nuevo León, Mexico | 27.6 | |
| 124 | Morādābād Uttar Pradesh, India | 27.5 | |
| 125 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 27.1 | |
| 125 | Kota Rajasthan, India | 27.1 | |
| 125 | Puebla Puebla, Mexico | 27.1 | |
| 128 | Nashik Maharashtra, India | 27.0 | |
| 129 | Mixquiahuala de Juárez Hidalgo, Mexico | 26.9 | |
| 129 | Tlaquepaque Jalisco, Mexico | 26.9 | |
| 131 | Dhaulpur Rajasthan, India | 26.7 | |
| 132 | Boisar Maharashtra, India | 26.6 | |
| 133 | Undera Gujarat, India | 26.5 | |
| 134 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 26.4 | |
| 135 | Arāria Bihar, India | 26.3 | |
| 136 | Tehuacán Puebla, Mexico | 25.9 | |
| 137 | Kharghar Maharashtra, India | 25.6 | |
| 138 | Raipur Chhattisgarh, India | 25.4 | |
| 138 | Santiago de Querétaro Querétaro, Mexico | 25.4 | |
| 140 | Jalor Rajasthan, India | 25.2 | |
| 140 | San Luis Potosí San Luis Potosí, Mexico | 25.2 | |
| 142 | Virār Maharashtra, India | 25.0 | |
| 142 | Bhayandar Maharashtra, India | 25.0 | |
| 142 | Amravati Maharashtra, India | 25.0 | |
| 145 | Jodhpur Rajasthan, India | 24.8 | |
| 145 | Guadalajara Jalisco, Mexico | 24.8 | |
| 147 | Shenyang Liaoning, China | 24.7 | |
| 148 | Ariyalūr Tamil Nadu, India | 24.5 | |
| 148 | Apizaco Tlaxcala, Mexico | 24.5 | |
| 150 | Socorro Texas, United States | 24.3 | |
| 151 | Jabalpur Madhya Pradesh, India | 24.2 | |
| 152 | Vapi Gujarat, India | 24.1 | |
| 153 | Bhubaneswar Odisha, India | 23.9 | |
| 154 | Shrīrāmpur West Bengal, India | 23.8 | |
| 154 | Durgapur West Bengal, India | 23.8 | |
| 156 | Bikaner Rajasthan, India | 23.6 | |
| 156 | Tepeji del Río de Ocampo Hidalgo, Mexico | 23.6 | |
| 158 | Nandri Rajasthan, India | 23.5 | |
| 159 | Sholapur Maharashtra, India | 23.1 | |
| 160 | Rishīkesh Uttarakhand, India | 23.0 | |
| 160 | Villa Poeta José Gálvez Barrenechea Lima region, Peru | 23.0 | |
| 162 | San Juan del Río Querétaro, Mexico | 22.9 | |
| 162 | Pimpri-Chinchwad Maharashtra, India | 22.9 | |
| 164 | Chānda Maharashtra, India | 22.8 | |
| 164 | San Martin Texmelucan de Labastida Puebla, Mexico | 22.8 | |
| 164 | Victoria de Durango Durango, Mexico | 22.8 | |
| 164 | El Paso Texas, United States | 22.8 | |
| 168 | Mumbai Maharashtra, India | 22.7 | |
| 168 | Tulancingo Hidalgo, Mexico | 22.7 | |
| 170 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 22.6 | |
| 171 | Bārān Rajasthan, India | 22.5 | |
| 172 | Quezon City low-cost sensors National Capital Region, Philippines | 22.4 | |
| 173 | Rājsamand Rajasthan, India | 22.1 | |
| 174 | Durg Chhattisgarh, India | 21.9 | |
| 174 | Tepic Nayarit, Mexico | 21.9 | |
| 176 | Vijayapura Karnataka, India | 21.8 | |
| 176 | Bangkok low-cost sensors Bangkok, Thailand | 21.8 | |
| 178 | Pratāpgarh Rajasthan, India | 21.6 | |
| 179 | Laredo Texas, United States | 21.4 | |
| 180 | Surat Gujarat, India | 21.1 | |
| 181 | Sirohi Rajasthan, India | 21.0 | |
| 181 | Tamana Kumamoto, Japan | 21.0 | |
| 183 | Tlaxcala Tlaxcala, Mexico | 20.5 | |
| 184 | Istanbul low-cost sensors Istanbul, Turkey | 20.4 | |
| 185 | Hubballi Karnataka, India | 20.3 | |
| 186 | Bārmer Rajasthan, India | 20.2 | |
| 186 | Sai Mai low-cost sensors Bangkok, Thailand | 20.2 | |
| 188 | Silchar Assam, India | 20.1 | |
| 189 | Iloilo low-cost sensors Western Visayas, Philippines | 19.9 | |
| 190 | Shivamogga Karnataka, India | 19.7 | |
| 191 | Bengaluru Karnataka, India | 19.6 | |
| 192 | Perundurai Tamil Nadu, India | 19.5 | |
| 192 | Onomichi Hiroshima, Japan | 19.5 | |
| 194 | Nagaon Assam, India | 19.4 | |
| 195 | Brawley California, United States | 19.2 | |
| 196 | Eagle Pass Texas, United States | 19.1 | |
| 197 | Wan Chai Wan Chai, Hong Kong | 19.0 | |
| 198 | Zacatepec de Hidalgo Morelos, Mexico | 18.9 | |
| 198 | Pachuca de Soto Hidalgo, Mexico | 18.9 | |
| 200 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 18.8 |
Top 200 of 2,243 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