SmogRank / History / week of July 21, 2025
Most polluted cities, week of July 21, 2025
2,136 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 | Bhelai Chhattisgarh, India | 77.0 | |
| 2 | Sri Ganganagar Rajasthan, India | 72.7 | |
| 3 | Prince Albert Saskatchewan, Canada | 62.7 | |
| 4 | Faisalabad low-cost sensors Punjab, Pakistan | 56.9 | |
| 5 | Lahore low-cost sensors Punjab, Pakistan | 56.3 | |
| 6 | Gujranwala low-cost sensors Punjab, Pakistan | 56.2 | |
| 7 | Dushanbe Dushanbe, Tajikistan | 53.8 | |
| 8 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 46.0 | |
| 9 | Gaya Bihar, India | 44.0 | |
| 10 | Ghāziābād Uttar Pradesh, India | 43.6 | |
| 11 | Saltillo Coahuila, Mexico | 43.0 | |
| 12 | Saharsa Bihar, India | 41.2 | |
| 13 | Cuddalore Tamil Nadu, India | 40.9 | |
| 14 | Dubai low-cost sensors Dubai, United Arab Emirates | 40.3 | |
| 15 | Sialkot low-cost sensors Punjab, Pakistan | 40.1 | |
| 16 | Saskatoon Saskatchewan, Canada | 39.4 | |
| 17 | Vereeniging low-cost sensors Gauteng, South Africa | 38.6 | |
| 18 | Hājīpur Bihar, India | 38.5 | |
| 19 | Multan low-cost sensors Punjab, Pakistan | 37.5 | |
| 20 | Gadag-Betageri Karnataka, India | 37.3 | |
| 21 | Narela Delhi, India | 37.1 | |
| 22 | Vijayawada Andhra Pradesh, India | 37.0 | |
| 22 | Singrauli Madhya Pradesh, India | 37.0 | |
| 24 | Baddi Himachal Pradesh, India | 35.7 | |
| 25 | Muzaffarnagar Uttar Pradesh, India | 34.9 | |
| 25 | Kota Rajasthan, India | 34.9 | |
| 27 | Kadapa Andhra Pradesh, India | 34.8 | |
| 28 | Morādābād Uttar Pradesh, India | 34.6 | |
| 29 | Greater Noida Uttar Pradesh, India | 33.6 | |
| 30 | Rangiora Canterbury, New Zealand | 33.4 | |
| 31 | Chittoor Andhra Pradesh, India | 33.3 | |
| 31 | Noida Uttar Pradesh, India | 33.3 | |
| 33 | Tonk Rajasthan, India | 33.2 | |
| 34 | Bārān Rajasthan, India | 32.8 | |
| 35 | Dādri Uttar Pradesh, India | 32.6 | |
| 36 | Rājgīr Bihar, India | 32.4 | |
| 36 | Anantapur Andhra Pradesh, India | 32.4 | |
| 38 | Regina Saskatchewan, Canada | 32.3 | |
| 38 | Joda Odisha, India | 32.3 | |
| 40 | Patna Bihar, India | 31.2 | |
| 40 | Delhi Delhi, India | 31.2 | |
| 42 | Nalbāri Assam, India | 31.0 | |
| 43 | Swift Current Saskatchewan, Canada | 30.7 | |
| 43 | Bhiwadi Rajasthan, India | 30.7 | |
| 45 | Durgapur West Bengal, India | 30.3 | |
| 46 | Najafgarh Delhi, India | 30.2 | |
| 47 | Wadgaon Kolhati Maharashtra, India | 30.1 | |
| 48 | Vapi Gujarat, India | 29.9 | |
| 49 | Rawalpindi low-cost sensors Punjab, Pakistan | 29.7 | |
| 50 | Hyderabad Telangana, India | 29.2 | |
| 51 | Istanbul low-cost sensors Istanbul, Turkey | 28.7 | |
| 52 | Timaru Canterbury, New Zealand | 28.4 | |
| 52 | Tema low-cost sensors Greater Accra, Ghana | 28.4 | |
| 54 | Tirupparangunram Tamil Nadu, India | 28.2 | |
| 54 | Hāpur Uttar Pradesh, India | 28.2 | |
| 56 | Ahmedabad Gujarat, India | 28.0 | |
| 57 | Sorel-Tracy Quebec, Canada | 27.5 | |
| 58 | Addis Ababa Addis Ababa, Ethiopia | 27.4 | |
| 58 | Lucknow Uttar Pradesh, India | 27.4 | |
| 60 | Dausa Rajasthan, India | 27.1 | |
| 61 | Ajmer Rajasthan, India | 27.0 | |
| 62 | Islamabad low-cost sensors Islamabad, Pakistan | 26.9 | |
| 63 | Duluth Minnesota, United States | 26.7 | |
| 64 | Trois-Rivières Quebec, Canada | 26.0 | |
| 65 | Karachi low-cost sensors Sindh, Pakistan | 25.9 | |
| 66 | Jaipur Rajasthan, India | 25.7 | |
| 67 | San Francisco Tlalcilalcalpan México, Mexico | 25.6 | |
| 68 | Shawinigan Quebec, Canada | 25.5 | |
| 69 | Changchun low-cost sensors Jilin, China | 25.4 | |
| 70 | Rānīganj West Bengal, India | 25.3 | |
| 71 | Malegaon Maharashtra, India | 25.1 | |
| 71 | Bānswāra Rajasthan, India | 25.1 | |
| 73 | Granby Quebec, Canada | 24.7 | |
| 74 | Jalandhar Punjab, India | 24.3 | |
| 75 | Montréal Quebec, Canada | 24.1 | |
| 76 | Āsansol West Bengal, India | 24.0 | |
| 77 | Drummondville Quebec, Canada | 23.9 | |
| 78 | Tirupati Andhra Pradesh, India | 23.5 | |
| 79 | Sherbrooke Quebec, Canada | 23.4 | |
| 80 | Bahawalpur low-cost sensors Punjab, Pakistan | 23.3 | |
| 80 | Bhiwandi Maharashtra, India | 23.3 | |
| 80 | Christchurch Canterbury, New Zealand | 23.3 | |
| 80 | Mohali Punjab, India | 23.3 | |
| 84 | Surat Gujarat, India | 23.2 | |
| 84 | Badlapur Maharashtra, India | 23.2 | |
| 84 | L'Ancienne-Lorette Quebec, Canada | 23.2 | |
| 87 | Rourkela Odisha, India | 23.1 | |
| 87 | Kanpur Uttar Pradesh, India | 23.1 | |
| 87 | Wan Chai Wan Chai, Hong Kong | 23.1 | |
| 90 | Chandigarh Chandigarh, India | 22.9 | |
| 91 | Silchar Assam, India | 22.5 | |
| 92 | Gandhinagar Gujarat, India | 22.4 | |
| 93 | Quetta low-cost sensors Balochistan, Pakistan | 22.2 | |
| 93 | Brossard Quebec, Canada | 22.2 | |
| 93 | Aya Nagar Delhi, India | 22.2 | |
| 96 | Vijayapura Karnataka, India | 22.1 | |
| 97 | Otwock Mazovia, Poland | 21.9 | |
| 97 | Nāgaur Rajasthan, India | 21.9 | |
| 97 | Accra low-cost sensors Greater Accra, Ghana | 21.9 | |
| 100 | Rivière-des-Prairies–Pointe-aux-Trembles Quebec, Canada | 21.8 | |
| 101 | Chānda Maharashtra, India | 21.7 | |
| 101 | Tuxtla Chiapas, Mexico | 21.7 | |
| 101 | Québec Quebec, Canada | 21.7 | |
| 104 | Logroño La Rioja, Spain | 21.6 | |
| 105 | Thāne Maharashtra, India | 21.5 | |
| 105 | Sīkar Rajasthan, India | 21.5 | |
| 107 | Dunedin low-cost sensors Otago, New Zealand | 21.2 | |
| 107 | Oconomowoc low-cost sensors Wisconsin, United States | 21.2 | |
| 109 | Medina Estates low-cost sensors Greater Accra, Ghana | 21.1 | |
| 110 | Iloilo low-cost sensors Western Visayas, Philippines | 20.6 | |
| 110 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 20.6 | |
| 112 | Chūru Rajasthan, India | 20.5 | |
| 112 | Agra Uttar Pradesh, India | 20.5 | |
| 114 | Bāghpat Uttar Pradesh, India | 20.4 | |
| 115 | San Salvador Tizatlalli México, Mexico | 20.1 | |
| 116 | Nagpur Maharashtra, India | 19.9 | |
| 116 | Dūngarpur Rajasthan, India | 19.9 | |
| 118 | Albany New York, United States | 19.8 | |
| 119 | Kolkata West Bengal, India | 19.7 | |
| 120 | Wake Forest low-cost sensors North Carolina, United States | 19.4 | |
| 121 | Meerut Uttar Pradesh, India | 19.3 | |
| 122 | García Nuevo León, Mexico | 19.2 | |
| 122 | Marquette Michigan, United States | 19.2 | |
| 124 | West Fargo North Dakota, United States | 19.0 | |
| 125 | Dhule Maharashtra, India | 18.9 | |
| 126 | Rājsamand Rajasthan, India | 18.8 | |
| 126 | Panvel Maharashtra, India | 18.8 | |
| 128 | Sewell New Jersey, United States | 18.7 | |
| 129 | Gwalior Madhya Pradesh, India | 18.5 | |
| 129 | Ōtsuki Yamanashi, Japan | 18.5 | |
| 129 | Neelankarai Tamil Nadu, India | 18.5 | |
| 129 | Nandri Rajasthan, India | 18.5 | |
| 133 | Patiāla Punjab, India | 18.4 | |
| 133 | Chennai Tamil Nadu, India | 18.4 | |
| 133 | Boisar Maharashtra, India | 18.4 | |
| 133 | Pennsauken New Jersey, United States | 18.4 | |
| 133 | Pittsfield Massachusetts, United States | 18.4 | |
| 138 | Jhunjhunūn Rajasthan, India | 18.3 | |
| 139 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 18.2 | |
| 139 | Saint-Jean-sur-Richelieu Quebec, Canada | 18.2 | |
| 141 | Sirohi Rajasthan, India | 18.1 | |
| 142 | Jalor Rajasthan, India | 18.0 | |
| 142 | Bhilwara Rajasthan, India | 18.0 | |
| 142 | Ankleshwar Gujarat, India | 18.0 | |
| 145 | Minneapolis Minnesota, United States | 17.9 | |
| 146 | Shivamogga Karnataka, India | 17.7 | |
| 146 | Rishīkesh Uttarakhand, India | 17.7 | |
| 148 | Gudalur Tamil Nadu, India | 17.6 | |
| 148 | Arrecife Canary Islands, Spain | 17.6 | |
| 148 | Franklin Park Illinois, United States | 17.6 | |
| 151 | Shibukawa Gunma, Japan | 17.5 | |
| 151 | Ishinomaki Miyagi, Japan | 17.5 | |
| 151 | Ciudad Benito Juárez Nuevo León, Mexico | 17.5 | |
| 151 | Barbil Odisha, India | 17.5 | |
| 155 | Jodhpur Rajasthan, India | 17.4 | |
| 155 | Byasanagar Odisha, India | 17.4 | |
| 157 | Saint Paul Minnesota, United States | 17.3 | |
| 158 | Yerevan low-cost sensors Yerevan, Armenia | 17.2 | |
| 158 | Bikaner Rajasthan, India | 17.2 | |
| 158 | Baripāda Odisha, India | 17.2 | |
| 158 | Des Plaines Illinois, United States | 17.2 | |
| 158 | Blaine Minnesota, United States | 17.2 | |
| 163 | Sāngli Maharashtra, India | 17.1 | |
| 163 | West Memphis Arkansas, United States | 17.1 | |
| 165 | Milwaukee Wisconsin, United States | 17.0 | |
| 166 | Keonjhargarh Odisha, India | 16.9 | |
| 167 | Sawai Madhopur Rajasthan, India | 16.8 | |
| 168 | Tepeji del Río de Ocampo Hidalgo, Mexico | 16.7 | |
| 169 | Tomioka Gunma, Japan | 16.6 | |
| 169 | Tlaquepaque Jalisco, Mexico | 16.6 | |
| 169 | León de los Aldama Guanajuato, Mexico | 16.6 | |
| 169 | Eau Claire Wisconsin, United States | 16.6 | |
| 173 | Sofia Sofia-Capital, Bulgaria | 16.5 | |
| 173 | Ourense Galicia, Spain | 16.5 | |
| 175 | Yaita Tochigi, Japan | 16.4 | |
| 175 | Nepean low-cost sensors Ontario, Canada | 16.4 | |
| 177 | Nanded Maharashtra, India | 16.3 | |
| 177 | Hubballi Karnataka, India | 16.3 | |
| 179 | Virār Maharashtra, India | 16.2 | |
| 179 | Rouyn-Noranda Quebec, Canada | 16.2 | |
| 181 | Ropar Punjab, India | 16.1 | |
| 181 | Jalgaon Maharashtra, India | 16.1 | |
| 181 | Hafnarfjörður Capital Region, Iceland | 16.1 | |
| 181 | Apizaco Tlaxcala, Mexico | 16.1 | |
| 181 | Ciudad General Escobedo Nuevo León, Mexico | 16.1 | |
| 181 | Danbury Connecticut, United States | 16.1 | |
| 181 | Springfield Massachusetts, United States | 16.1 | |
| 181 | Green Bay Wisconsin, United States | 16.1 | |
| 189 | Bārmer Rajasthan, India | 16.0 | |
| 189 | Elmwood Park Illinois, United States | 16.0 | |
| 189 | Superior Wisconsin, United States | 16.0 | |
| 192 | Hartford Connecticut, United States | 15.9 | |
| 192 | Saint Cloud Minnesota, United States | 15.9 | |
| 194 | Shrīrāmpur West Bengal, India | 15.8 | |
| 194 | Portland Maine, United States | 15.8 | |
| 194 | Edmonton Alberta, Canada | 15.8 | |
| 197 | Jhālāwār Rajasthan, India | 15.7 | |
| 197 | Bridgeview Illinois, United States | 15.7 | |
| 199 | Kiryū Gunma, Japan | 15.6 | |
| 199 | Puebla Puebla, Mexico | 15.6 |
Top 200 of 2,136 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