Most polluted cities, May 2025
2,043 cities ranked by their average PM2.5 over the 31 days. A city needs measurements on 70% of the days to be ranked.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Cuddalore Tamil Nadu, India | 92.9 | |
| 2 | Narela Delhi, India | 79.0 | |
| 3 | Muzaffarnagar Uttar Pradesh, India | 69.2 | |
| 4 | Najafgarh Delhi, India | 64.5 | |
| 5 | Delhi Delhi, India | 63.2 | |
| 6 | Lucknow Uttar Pradesh, India | 60.7 | |
| 7 | Dushanbe Dushanbe, Tajikistan | 59.9 | |
| 8 | Ghāziābād Uttar Pradesh, India | 59.1 | |
| 9 | Bhiwadi Rajasthan, India | 54.7 | |
| 10 | Hanumāngarh Rajasthan, India | 54.5 | |
| 11 | Baddi Himachal Pradesh, India | 53.8 | |
| 12 | Gandhinagar Gujarat, India | 53.6 | |
| 13 | Patiāla Punjab, India | 52.3 | |
| 14 | Noida Uttar Pradesh, India | 50.7 | |
| 15 | Jaipur Rajasthan, India | 49.2 | |
| 16 | Sri Ganganagar Rajasthan, India | 49.0 | |
| 17 | Keonjhargarh Odisha, India | 48.2 | |
| 18 | Rourkela Odisha, India | 47.5 | |
| 19 | Hājīpur Bihar, India | 47.1 | |
| 20 | Bhelai Chhattisgarh, India | 46.7 | |
| 21 | Bikaner Rajasthan, India | 46.2 | |
| 22 | Greater Noida Uttar Pradesh, India | 45.8 | |
| 23 | Jalandhar Punjab, India | 45.7 | |
| 24 | Ahmedabad Gujarat, India | 44.6 | |
| 25 | Dubai low-cost sensors Dubai, United Arab Emirates | 43.8 | |
| 25 | Ajmer Rajasthan, India | 43.8 | |
| 27 | Vereeniging low-cost sensors Gauteng, South Africa | 43.3 | |
| 27 | Dādri Uttar Pradesh, India | 43.3 | |
| 29 | Tonk Rajasthan, India | 43.0 | |
| 30 | Singrauli Madhya Pradesh, India | 42.9 | |
| 31 | Nagaon Assam, India | 42.8 | |
| 32 | Bhiwandi Maharashtra, India | 42.5 | |
| 33 | Gwalior Madhya Pradesh, India | 42.4 | |
| 34 | Badlapur Maharashtra, India | 41.9 | |
| 35 | Chandigarh Chandigarh, India | 41.3 | |
| 36 | Mohali Punjab, India | 41.2 | |
| 37 | Anantapur Andhra Pradesh, India | 41.0 | |
| 38 | Hyderabad Telangana, India | 40.3 | |
| 39 | Kanpur Uttar Pradesh, India | 40.0 | |
| 40 | Sīkar Rajasthan, India | 39.6 | |
| 41 | Jhālāwār Rajasthan, India | 39.2 | |
| 42 | Sawai Madhopur Rajasthan, India | 38.9 | |
| 42 | Chūru Rajasthan, India | 38.9 | |
| 44 | Vijayawada Andhra Pradesh, India | 38.8 | |
| 45 | Cuttack Odisha, India | 38.5 | |
| 46 | Nāgaur Rajasthan, India | 38.0 | |
| 47 | Kalyān Maharashtra, India | 37.9 | |
| 48 | Dausa Rajasthan, India | 37.7 | |
| 49 | Jhunjhunūn Rajasthan, India | 37.6 | |
| 50 | Meerut Uttar Pradesh, India | 37.3 | |
| 51 | Nagpur Maharashtra, India | 37.2 | |
| 52 | Patna Bihar, India | 36.8 | |
| 53 | Bārmer Rajasthan, India | 36.6 | |
| 54 | Bhilwara Rajasthan, India | 36.3 | |
| 55 | Gaya Bihar, India | 35.6 | |
| 56 | Tirupparangunram Tamil Nadu, India | 35.4 | |
| 56 | Angul Odisha, India | 35.4 | |
| 58 | Cholula Puebla, Mexico | 35.3 | |
| 59 | Rasapūdipalem Andhra Pradesh, India | 34.9 | |
| 60 | Kharghar Maharashtra, India | 34.8 | |
| 61 | Chittorgarh Rajasthan, India | 34.7 | |
| 61 | Prayagraj Uttar Pradesh, India | 34.7 | |
| 63 | Karauli Rajasthan, India | 34.6 | |
| 64 | Hacienda Santa Fe Jalisco, Mexico | 34.5 | |
| 65 | Agra Uttar Pradesh, India | 34.2 | |
| 66 | Kota Rajasthan, India | 33.2 | |
| 67 | Rairangpur Odisha, India | 33.0 | |
| 68 | Joda Odisha, India | 32.5 | |
| 69 | Panvel Maharashtra, India | 32.4 | |
| 70 | Bharatpur Rajasthan, India | 32.2 | |
| 71 | Kolkata West Bengal, India | 31.8 | |
| 72 | Sāngli Maharashtra, India | 31.7 | |
| 72 | Gummidipundi Tamil Nadu, India | 31.7 | |
| 72 | Puebla Puebla, Mexico | 31.7 | |
| 75 | Būndi Rajasthan, India | 31.6 | |
| 76 | Jalgaon Maharashtra, India | 31.1 | |
| 76 | Dūngarpur Rajasthan, India | 31.1 | |
| 78 | Bārān Rajasthan, India | 30.8 | |
| 79 | Mahād Maharashtra, India | 30.6 | |
| 80 | Jaisalmer Rajasthan, India | 30.0 | |
| 81 | Tirumala Andhra Pradesh, India | 29.9 | |
| 81 | Wadgaon Kolhati Maharashtra, India | 29.9 | |
| 83 | Aurangabad Maharashtra, India | 29.6 | |
| 84 | Jodhpur Rajasthan, India | 29.5 | |
| 85 | Thāne Maharashtra, India | 29.4 | |
| 86 | Jalor Rajasthan, India | 29.2 | |
| 87 | Tlaquepaque Jalisco, Mexico | 29.1 | |
| 88 | Rānīganj West Bengal, India | 28.9 | |
| 88 | Amaravati Andhra Pradesh, India | 28.9 | |
| 90 | Nashik Maharashtra, India | 28.7 | |
| 91 | Ankleshwar Gujarat, India | 28.5 | |
| 92 | Surat Gujarat, India | 28.3 | |
| 92 | Barbil Odisha, India | 28.3 | |
| 94 | Chāpra Bihar, India | 28.2 | |
| 95 | Hāpur Uttar Pradesh, India | 28.1 | |
| 95 | Bhopal Madhya Pradesh, India | 28.1 | |
| 95 | Akola Maharashtra, India | 28.1 | |
| 95 | Victoria de Durango Durango, Mexico | 28.1 | |
| 99 | Vapi Gujarat, India | 27.7 | |
| 100 | Amravati Maharashtra, India | 27.5 | |
| 101 | Sholapur Maharashtra, India | 27.3 | |
| 102 | Chennai Tamil Nadu, India | 27.2 | |
| 103 | Rishīkesh Uttarakhand, India | 26.7 | |
| 104 | Latur Maharashtra, India | 26.6 | |
| 105 | Apizaco Tlaxcala, Mexico | 26.5 | |
| 106 | Serilingampalle Telangana, India | 26.4 | |
| 106 | Byasanagar Odisha, India | 26.4 | |
| 108 | Arāria Bihar, India | 26.1 | |
| 109 | Āsansol West Bengal, India | 26.0 | |
| 109 | Ciudad Benito Juárez Nuevo León, Mexico | 26.0 | |
| 111 | Neelankarai Tamil Nadu, India | 25.7 | |
| 112 | Rājsamand Rajasthan, India | 25.1 | |
| 112 | Kolhāpur Maharashtra, India | 25.1 | |
| 114 | Naucalpan de Juárez México, Mexico | 24.9 | |
| 115 | Chānda Maharashtra, India | 24.6 | |
| 116 | Mixquiahuala de Juárez Hidalgo, Mexico | 24.4 | |
| 116 | Ciudad Nezahualcoyotl México, Mexico | 24.4 | |
| 118 | Morādābād Uttar Pradesh, India | 24.3 | |
| 118 | Tehuacán Puebla, Mexico | 24.3 | |
| 118 | Aguascalientes Aguascalientes, Mexico | 24.3 | |
| 121 | Saugor Madhya Pradesh, India | 24.0 | |
| 121 | Pratāpgarh Rajasthan, India | 24.0 | |
| 121 | Nandri Rajasthan, India | 24.0 | |
| 124 | Monterrey Nuevo León, Mexico | 23.8 | |
| 125 | Shillong Meghalaya, India | 23.6 | |
| 125 | Tepeji del Río de Ocampo Hidalgo, Mexico | 23.6 | |
| 127 | Shrīrāmpur West Bengal, India | 23.3 | |
| 127 | Durgapur West Bengal, India | 23.3 | |
| 129 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 23.2 | |
| 130 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 23.1 | |
| 131 | Istanbul low-cost sensors Istanbul, Turkey | 22.9 | |
| 132 | San Martin Texmelucan de Labastida Puebla, Mexico | 22.5 | |
| 132 | Ciudad Juárez Chihuahua, Mexico | 22.5 | |
| 134 | Virār Maharashtra, India | 22.3 | |
| 134 | Mexico City Mexico City, Mexico | 22.3 | |
| 136 | Dhaulpur Rajasthan, India | 22.2 | |
| 137 | Silchar Assam, India | 22.1 | |
| 138 | Vijayapura Karnataka, India | 22.0 | |
| 138 | Wan Chai Wan Chai, Hong Kong | 22.0 | |
| 140 | Guadalajara Jalisco, Mexico | 21.8 | |
| 141 | Jabalpur Madhya Pradesh, India | 21.7 | |
| 141 | Boisar Maharashtra, India | 21.7 | |
| 143 | Tulancingo Hidalgo, Mexico | 21.4 | |
| 144 | Pimpri-Chinchwad Maharashtra, India | 21.3 | |
| 145 | Baripāda Odisha, India | 21.1 | |
| 146 | Sirohi Rajasthan, India | 21.0 | |
| 146 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 21.0 | |
| 148 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 20.9 | |
| 148 | León de los Aldama Guanajuato, Mexico | 20.9 | |
| 150 | Bhubaneswar Odisha, India | 20.8 | |
| 150 | Bhayandar Maharashtra, India | 20.8 | |
| 150 | Santiago de Querétaro Querétaro, Mexico | 20.8 | |
| 153 | Bengaluru Karnataka, India | 20.4 | |
| 154 | Mumbai Maharashtra, India | 20.2 | |
| 154 | Salamanca Guanajuato, Mexico | 20.2 | |
| 156 | Pune Maharashtra, India | 20.1 | |
| 156 | Nanded Maharashtra, India | 20.1 | |
| 156 | Iloilo low-cost sensors Western Visayas, Philippines | 20.1 | |
| 159 | Raipur Chhattisgarh, India | 20.0 | |
| 160 | Tepic Nayarit, Mexico | 19.9 | |
| 160 | Fort McMurray Alberta, Canada | 19.9 | |
| 162 | Guwahati Assam, India | 19.8 | |
| 163 | San Juan del Río Querétaro, Mexico | 19.7 | |
| 164 | Hubballi Karnataka, India | 19.5 | |
| 164 | San Luis Potosí San Luis Potosí, Mexico | 19.5 | |
| 166 | Celaya Guanajuato, Mexico | 19.3 | |
| 167 | Mérida Yucatán, Mexico | 19.1 | |
| 168 | Irapuato Guanajuato, Mexico | 19.0 | |
| 169 | Shivamogga Karnataka, India | 18.7 | |
| 170 | Sai Mai low-cost sensors Bangkok, Thailand | 18.4 | |
| 171 | Ourense Galicia, Spain | 18.3 | |
| 172 | Gudalur Tamil Nadu, India | 18.2 | |
| 173 | Sunland Park New Mexico, United States | 17.8 | |
| 174 | San Miguel de Allende Guanajuato, Mexico | 17.5 | |
| 175 | Perundurai Tamil Nadu, India | 17.4 | |
| 175 | Santa Anita Jalisco, Mexico | 17.4 | |
| 177 | Tula de Allende Hidalgo, Mexico | 17.3 | |
| 178 | Indore Madhya Pradesh, India | 17.0 | |
| 179 | Bangkok low-cost sensors Bangkok, Thailand | 16.8 | |
| 180 | Durg Chhattisgarh, India | 16.7 | |
| 181 | Prince Albert Saskatchewan, Canada | 16.6 | |
| 182 | Kalaburagi Karnataka, India | 16.5 | |
| 182 | Abasolo Guanajuato, Mexico | 16.5 | |
| 184 | Tuen Mun Tuen Mun, Hong Kong | 16.4 | |
| 185 | Jincheng Fukien, Taiwan | 16.2 | |
| 185 | Zapopan Jalisco, Mexico | 16.2 | |
| 187 | Edinburg Texas, United States | 15.9 | |
| 188 | El Paso Texas, United States | 15.5 | |
| 188 | Rangiora Canterbury, New Zealand | 15.5 | |
| 190 | Laredo Texas, United States | 15.4 | |
| 191 | La Providencia Siglo XXI Hidalgo, Mexico | 15.3 | |
| 191 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 15.3 | |
| 193 | Ōtsuki Yamanashi, Japan | 15.2 | |
| 194 | Onomichi Hiroshima, Japan | 15.1 | |
| 195 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 14.8 | |
| 196 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 14.6 | |
| 196 | Tamana Kumamoto, Japan | 14.6 | |
| 196 | Brownsville Texas, United States | 14.6 | |
| 196 | Socorro Texas, United States | 14.6 | |
| 200 | Nakatsu Oita, Japan | 14.4 |
Top 200 of 2,043 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