SmogRank / History / week of May 26, 2025
Most polluted cities, week of May 26, 2025
2,330 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 | Greater Noida Uttar Pradesh, India | 98.3 | |
| 2 | Santa Anita - Los Ficus Lima region, Peru | 78.3 | |
| 3 | Fort McMurray Alberta, Canada | 75.2 | |
| 4 | Narela Delhi, India | 71.6 | |
| 5 | Jaipur Rajasthan, India | 70.2 | |
| 6 | Hanumāngarh Rajasthan, India | 64.8 | |
| 6 | Bhiwadi Rajasthan, India | 64.8 | |
| 8 | Nāgaur Rajasthan, India | 62.7 | |
| 9 | Rānipet Tamil Nadu, India | 60.3 | |
| 10 | Aya Nagar Delhi, India | 57.8 | |
| 11 | Delhi Delhi, India | 57.7 | |
| 12 | Chandigarh Chandigarh, India | 55.2 | |
| 13 | Vereeniging low-cost sensors Gauteng, South Africa | 54.7 | |
| 14 | Jhunjhunūn Rajasthan, India | 54.4 | |
| 15 | Ghāziābād Uttar Pradesh, India | 54.3 | |
| 16 | Ahmedabad Gujarat, India | 53.5 | |
| 17 | Najafgarh Delhi, India | 52.1 | |
| 18 | Lucknow Uttar Pradesh, India | 51.4 | |
| 19 | Gwalior Madhya Pradesh, India | 50.5 | |
| 20 | Prince Albert Saskatchewan, Canada | 50.1 | |
| 21 | Noida Uttar Pradesh, India | 49.5 | |
| 22 | Lahore low-cost sensors Punjab, Pakistan | 48.8 | |
| 23 | Chūru Rajasthan, India | 47.6 | |
| 24 | Sīkar Rajasthan, India | 47.3 | |
| 25 | Rourkela Odisha, India | 46.5 | |
| 25 | Dausa Rajasthan, India | 46.5 | |
| 27 | Chittorgarh Rajasthan, India | 46.3 | |
| 28 | Dubai low-cost sensors Dubai, United Arab Emirates | 45.9 | |
| 29 | Jaisalmer Rajasthan, India | 45.7 | |
| 30 | Bānswāra Rajasthan, India | 45.5 | |
| 31 | Ajmer Rajasthan, India | 45.4 | |
| 32 | Rasapūdipalem Andhra Pradesh, India | 45.3 | |
| 33 | Kigali Kigali, Rwanda | 44.6 | |
| 34 | Regina Saskatchewan, Canada | 44.5 | |
| 35 | Bhilwara Rajasthan, India | 44.3 | |
| 36 | Virār Maharashtra, India | 44.2 | |
| 37 | Hyderabad Telangana, India | 44.1 | |
| 38 | Patiāla Punjab, India | 43.6 | |
| 38 | Bārān Rajasthan, India | 43.6 | |
| 40 | Kanchipuram Tamil Nadu, India | 42.9 | |
| 41 | Gandhinagar Gujarat, India | 42.5 | |
| 42 | Anantapur Andhra Pradesh, India | 41.4 | |
| 43 | Dādri Uttar Pradesh, India | 41.0 | |
| 44 | Karauli Rajasthan, India | 40.2 | |
| 45 | Mohali Punjab, India | 40.0 | |
| 46 | Chāpra Bihar, India | 39.6 | |
| 46 | Bikaner Rajasthan, India | 39.6 | |
| 48 | Kadapa Andhra Pradesh, India | 39.3 | |
| 49 | Bismarck North Dakota, United States | 39.2 | |
| 50 | Dūngarpur Rajasthan, India | 39.0 | |
| 51 | Jakarta Jakarta, Indonesia | 38.7 | |
| 52 | Dhule Maharashtra, India | 38.5 | |
| 53 | Sri Ganganagar Rajasthan, India | 37.7 | |
| 54 | Dushanbe Dushanbe, Tajikistan | 37.3 | |
| 55 | Bārmer Rajasthan, India | 37.1 | |
| 56 | Rājsamand Rajasthan, India | 36.8 | |
| 56 | Nagaon Assam, India | 36.8 | |
| 58 | Meerut Uttar Pradesh, India | 36.7 | |
| 59 | San Francisco De Borja Lima region, Peru | 36.6 | |
| 60 | Saskatoon Saskatchewan, Canada | 36.4 | |
| 61 | Manama Manama, Bahrain | 36.1 | |
| 61 | Bhiwandi Maharashtra, India | 36.1 | |
| 63 | Agra Uttar Pradesh, India | 35.4 | |
| 64 | Vijayawada Andhra Pradesh, India | 35.0 | |
| 64 | Jalandhar Punjab, India | 35.0 | |
| 66 | Byasanagar Odisha, India | 34.8 | |
| 67 | Kanpur Uttar Pradesh, India | 34.7 | |
| 67 | Victoria de Durango Durango, Mexico | 34.7 | |
| 69 | Būndi Rajasthan, India | 34.6 | |
| 69 | Angul Odisha, India | 34.6 | |
| 71 | Nagpur Maharashtra, India | 34.5 | |
| 72 | Sāngli Maharashtra, India | 34.2 | |
| 73 | Akola Maharashtra, India | 33.9 | |
| 74 | Nashik Maharashtra, India | 33.7 | |
| 74 | Kota Rajasthan, India | 33.7 | |
| 76 | Jalor Rajasthan, India | 33.5 | |
| 77 | Bharatpur Rajasthan, India | 33.4 | |
| 78 | Joda Odisha, India | 32.6 | |
| 79 | Thāne Maharashtra, India | 32.5 | |
| 79 | Jabalpur Madhya Pradesh, India | 32.5 | |
| 81 | Gummidipundi Tamil Nadu, India | 30.4 | |
| 82 | Patna Bihar, India | 30.1 | |
| 83 | Aurangabad Maharashtra, India | 29.7 | |
| 84 | Amravati Maharashtra, India | 29.4 | |
| 85 | Saugor Madhya Pradesh, India | 29.3 | |
| 86 | Kalyān Maharashtra, India | 29.1 | |
| 87 | Sirohi Rajasthan, India | 28.3 | |
| 88 | Dhaulpur Rajasthan, India | 28.1 | |
| 89 | Mahād Maharashtra, India | 27.8 | |
| 90 | Hacienda Santa Fe Jalisco, Mexico | 27.4 | |
| 91 | Cholula Puebla, Mexico | 27.2 | |
| 92 | Indore Madhya Pradesh, India | 27.1 | |
| 92 | Shenyang Liaoning, China | 27.1 | |
| 94 | Pratāpgarh Rajasthan, India | 26.8 | |
| 94 | Barbil Odisha, India | 26.8 | |
| 96 | Kolkata West Bengal, India | 26.7 | |
| 96 | Bāghpat Uttar Pradesh, India | 26.7 | |
| 98 | Prayagraj Uttar Pradesh, India | 26.6 | |
| 99 | Hāpur Uttar Pradesh, India | 26.5 | |
| 100 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 26.3 | |
| 101 | West Fargo North Dakota, United States | 26.2 | |
| 101 | St. Albert Alberta, Canada | 26.2 | |
| 103 | Jodhpur Rajasthan, India | 26.1 | |
| 104 | Chānda Maharashtra, India | 25.8 | |
| 105 | Wadgaon Kolhati Maharashtra, India | 25.7 | |
| 106 | Gaya Bihar, India | 25.6 | |
| 107 | Guangzhou Guangdong, China | 25.5 | |
| 107 | Watertown South Dakota, United States | 25.5 | |
| 109 | Latur Maharashtra, India | 25.4 | |
| 110 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 25.2 | |
| 111 | Pune Maharashtra, India | 25.1 | |
| 112 | Vellore Tamil Nadu, India | 25.0 | |
| 112 | Bengaluru Karnataka, India | 25.0 | |
| 114 | Cuttack Odisha, India | 24.8 | |
| 115 | Kraljevo Central Serbia, Serbia | 24.2 | |
| 116 | Morādābād Uttar Pradesh, India | 24.1 | |
| 117 | Istanbul low-cost sensors Istanbul, Turkey | 23.7 | |
| 118 | Callao Callao, Peru | 23.6 | |
| 119 | Panvel Maharashtra, India | 23.3 | |
| 119 | Chennai Tamil Nadu, India | 23.3 | |
| 121 | Wan Chai Wan Chai, Hong Kong | 23.2 | |
| 122 | Jhālāwār Rajasthan, India | 22.5 | |
| 123 | Shrīrāmpur West Bengal, India | 22.4 | |
| 124 | Amaravati Andhra Pradesh, India | 22.3 | |
| 125 | Vijayapura Karnataka, India | 22.2 | |
| 125 | Naucalpan de Juárez México, Mexico | 22.2 | |
| 127 | Mumbai Maharashtra, India | 22.1 | |
| 128 | Ankleshwar Gujarat, India | 21.9 | |
| 129 | Ciudad Benito Juárez Nuevo León, Mexico | 21.8 | |
| 130 | Mérida Yucatán, Mexico | 21.6 | |
| 131 | Nairobi Nairobi County, Kenya | 21.5 | |
| 131 | Bhubaneswar Odisha, India | 21.5 | |
| 133 | Aguascalientes Aguascalientes, Mexico | 21.3 | |
| 134 | Ashgabat Ashgabat, Turkmenistan | 21.2 | |
| 134 | Monterrey Nuevo León, Mexico | 21.2 | |
| 136 | Brookings South Dakota, United States | 20.9 | |
| 137 | Saltillo Coahuila, Mexico | 20.8 | |
| 138 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 20.6 | |
| 139 | Jincheng Fukien, Taiwan | 20.5 | |
| 140 | Bhayandar Maharashtra, India | 20.0 | |
| 141 | Tirumala Andhra Pradesh, India | 19.9 | |
| 141 | Rangiora Canterbury, New Zealand | 19.9 | |
| 143 | Tlaquepaque Jalisco, Mexico | 19.8 | |
| 144 | Boisar Maharashtra, India | 19.6 | |
| 145 | Ourense Galicia, Spain | 19.5 | |
| 146 | Keonjhargarh Odisha, India | 19.4 | |
| 147 | Sunland Park New Mexico, United States | 19.3 | |
| 147 | Pimpri-Chinchwad Maharashtra, India | 19.3 | |
| 149 | Shivamogga Karnataka, India | 19.2 | |
| 150 | Tepeji del Río de Ocampo Hidalgo, Mexico | 18.9 | |
| 151 | Les Abymes Guadeloupe, Guadeloupe | 18.7 | |
| 152 | Rānīganj West Bengal, India | 18.4 | |
| 152 | Le Lamentin Martinique, Martinique | 18.4 | |
| 154 | Santa Catarina Nuevo León, Mexico | 18.3 | |
| 155 | Serilingampalle Telangana, India | 18.2 | |
| 155 | Neelankarai Tamil Nadu, India | 18.2 | |
| 157 | Kolhāpur Maharashtra, India | 17.9 | |
| 157 | Fort-de-France Martinique, Martinique | 17.9 | |
| 159 | Tepic Nayarit, Mexico | 17.8 | |
| 160 | León de los Aldama Guanajuato, Mexico | 17.7 | |
| 161 | Cadereyta Jiménez Nuevo León, Mexico | 17.6 | |
| 162 | Surat Gujarat, India | 17.4 | |
| 162 | Salamanca Guanajuato, Mexico | 17.4 | |
| 162 | Guadalajara Jalisco, Mexico | 17.4 | |
| 165 | Hubballi Karnataka, India | 17.3 | |
| 166 | Perundurai Tamil Nadu, India | 17.2 | |
| 167 | Durg Chhattisgarh, India | 17.1 | |
| 167 | Iloilo low-cost sensors Western Visayas, Philippines | 17.1 | |
| 167 | Mexico City Mexico City, Mexico | 17.1 | |
| 167 | Ciudad General Escobedo Nuevo León, Mexico | 17.1 | |
| 171 | Silchar Assam, India | 17.0 | |
| 171 | Baripāda Odisha, India | 17.0 | |
| 171 | Mong Kok Yau Tsim Mong District, Hong Kong | 17.0 | |
| 174 | Raipur Chhattisgarh, India | 16.9 | |
| 175 | Móstoles Madrid, Spain | 16.7 | |
| 176 | Ciudad Juárez Chihuahua, Mexico | 16.5 | |
| 177 | Tuen Mun Tuen Mun, Hong Kong | 16.4 | |
| 177 | Bailén Andalusia, Spain | 16.4 | |
| 179 | Gangtok Sikkim, India | 16.2 | |
| 179 | Belmopan Cayo District, Belize | 16.2 | |
| 181 | Sham Shui Po Sham Shui Po District, Hong Kong | 16.1 | |
| 181 | El Paso Texas, United States | 16.1 | |
| 183 | Fuenlabrada Madrid, Spain | 16.0 | |
| 184 | Ashburton Canterbury, New Zealand | 15.9 | |
| 185 | Ōmuta Fukuoka, Japan | 15.7 | |
| 185 | Fontana California, United States | 15.7 | |
| 187 | Yuanlin Taiwan, Taiwan | 15.6 | |
| 187 | Marigot Saint Martin | 15.6 | |
| 187 | Edinburg Texas, United States | 15.6 | |
| 190 | Christchurch Canterbury, New Zealand | 15.3 | |
| 190 | Ciudad Nezahualcoyotl México, Mexico | 15.3 | |
| 192 | Erlun Taiwan, Taiwan | 15.2 | |
| 193 | Uekimachi-mōno Kumamoto, Japan | 15.1 | |
| 194 | Fengshan Takao, Taiwan | 15.0 | |
| 194 | Santa Anita Jalisco, Mexico | 15.0 | |
| 196 | Sau Mau Ping Kwun Tong District, Hong Kong | 14.9 | |
| 197 | Kwai Chung Kwai Tsing District, Hong Kong | 14.8 | |
| 197 | Tamana Kumamoto, Japan | 14.8 | |
| 199 | Douliu Taiwan, Taiwan | 14.7 | |
| 199 | Nakatsu Oita, Japan | 14.7 |
Top 200 of 2,330 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