SmogRank / History / July 31, 2026
Most polluted cities on July 31, 2026
2,280 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Kamloops British Columbia, Canada | 146.0 | |
| 2 | Kampala low-cost sensors Central Region, Uganda | 73.2 | |
| 3 | Vernon British Columbia, Canada | 68.9 | |
| 4 | Gummidipundi Tamil Nadu, India | 67.7 | |
| 5 | Nampa Idaho, United States | 66.3 | |
| 6 | Lilongwe low-cost sensors Central Region, Malawi | 65.6 | |
| 7 | Santa Rosa California, United States | 64.2 | |
| 8 | Quetta low-cost sensors Balochistan, Pakistan | 60.5 | |
| 9 | Ashaiman low-cost sensors Greater Accra, Ghana | 60.1 | |
| 10 | Undera Gujarat, India | 53.1 | |
| 11 | Faisalabad low-cost sensors Punjab, Pakistan | 51.5 | |
| 12 | Karonga low-cost sensors Northern Region, Malawi | 49.5 | |
| 13 | Dushanbe Dushanbe, Tajikistan | 48.9 | |
| 14 | Dhāruhera Haryana, India | 46.6 | |
| 15 | Siwān Bihar, India | 46.2 | |
| 16 | Calgary Alberta, Canada | 45.4 | |
| 17 | Lagos low-cost sensors Lagos, Nigeria | 42.8 | |
| 18 | Antananarivo Analamanga, Madagascar | 42.4 | |
| 19 | Dubai low-cost sensors Dubai, United Arab Emirates | 42.3 | |
| 20 | Bhiwadi Rajasthan, India | 41.8 | |
| 21 | Lethbridge Alberta, Canada | 41.5 | |
| 22 | Airdrie Alberta, Canada | 40.8 | |
| 23 | Quezon City low-cost sensors National Capital Region, Philippines | 40.7 | |
| 24 | Pendleton Oregon, United States | 40.0 | |
| 25 | Chāpra Bihar, India | 39.4 | |
| 26 | Gurugram Haryana, India | 39.1 | |
| 26 | Tema low-cost sensors Greater Accra, Ghana | 39.1 | |
| 28 | Palembang low-cost sensors South Sumatra, Indonesia | 38.8 | |
| 29 | Lahore low-cost sensors Punjab, Pakistan | 38.3 | |
| 30 | Islamabad low-cost sensors Islamabad, Pakistan | 37.8 | |
| 30 | Jharia Jharkhand, India | 37.8 | |
| 32 | Gujranwala low-cost sensors Punjab, Pakistan | 37.7 | |
| 33 | Yamuna Nagar Haryana, India | 36.9 | |
| 34 | Noida Uttar Pradesh, India | 36.8 | |
| 35 | Ajmer Rajasthan, India | 36.3 | |
| 36 | Mzuzu low-cost sensors Northern Region, Malawi | 36.2 | |
| 37 | Chittoor Andhra Pradesh, India | 35.8 | |
| 38 | Kadapa Andhra Pradesh, India | 35.0 | |
| 39 | Iloilo low-cost sensors Western Visayas, Philippines | 34.9 | |
| 40 | Blantyre low-cost sensors Southern Region, Malawi | 34.8 | |
| 40 | Karnāl Haryana, India | 34.8 | |
| 42 | Hyderabad low-cost sensors Sindh, Pakistan | 34.6 | |
| 43 | Anantapur Andhra Pradesh, India | 34.4 | |
| 44 | Murree low-cost sensors Punjab, Pakistan | 33.9 | |
| 45 | Cranbrook British Columbia, Canada | 33.7 | |
| 46 | Zomba low-cost sensors Southern Region, Malawi | 33.6 | |
| 46 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 33.6 | |
| 46 | Lewiston Idaho, United States | 33.6 | |
| 49 | Begusarai Bihar, India | 33.5 | |
| 50 | Chittorgarh Rajasthan, India | 32.3 | |
| 50 | Changchun low-cost sensors Jilin, China | 32.3 | |
| 52 | Multan low-cost sensors Punjab, Pakistan | 31.9 | |
| 52 | Vijayawada Andhra Pradesh, India | 31.9 | |
| 52 | Tirupati Andhra Pradesh, India | 31.9 | |
| 55 | Lima Lima Province, Peru | 31.2 | |
| 56 | Bahadurgarh Haryana, India | 31.1 | |
| 57 | Gandhinagar Gujarat, India | 31.0 | |
| 58 | Dausa Rajasthan, India | 30.4 | |
| 59 | San Luis Potosí San Luis Potosí, Mexico | 30.3 | |
| 59 | Macon Georgia, United States | 30.3 | |
| 61 | Rawalpindi low-cost sensors Punjab, Pakistan | 30.1 | |
| 61 | Bhiwāni Haryana, India | 30.1 | |
| 63 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 29.9 | |
| 63 | Boise Idaho, United States | 29.9 | |
| 65 | Sialkot low-cost sensors Punjab, Pakistan | 29.8 | |
| 66 | Karachi low-cost sensors Sindh, Pakistan | 29.5 | |
| 67 | Tulare low-cost sensors California, United States | 29.4 | |
| 68 | Winterthur low-cost sensors Zurich, Switzerland | 29.3 | |
| 69 | Jhunjhunūn Rajasthan, India | 28.8 | |
| 70 | Sonīpat Haryana, India | 28.4 | |
| 71 | Arāria Bihar, India | 28.2 | |
| 72 | Gwalior Madhya Pradesh, India | 28.1 | |
| 73 | Jammu low-cost sensors Jammu and Kashmir, India | 27.9 | |
| 74 | Tonk Rajasthan, India | 27.2 | |
| 75 | Faridabad Haryana, India | 27.1 | |
| 76 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 27.0 | |
| 77 | Füssen low-cost sensors Bavaria, Germany | 26.8 | |
| 77 | Warner Robins Georgia, United States | 26.8 | |
| 79 | Grande Prairie Alberta, Canada | 26.5 | |
| 80 | Lucknow Uttar Pradesh, India | 26.4 | |
| 81 | Agartala Tripura, India | 26.2 | |
| 82 | Hacienda Santa Fe Jalisco, Mexico | 25.9 | |
| 83 | Hyderabad Telangana, India | 25.7 | |
| 83 | Sri Ganganagar Rajasthan, India | 25.7 | |
| 85 | Kalyān Maharashtra, India | 25.5 | |
| 86 | Perrysburg Ohio, United States | 25.4 | |
| 87 | Chigasaki Kanagawa, Japan | 25.3 | |
| 88 | Istanbul low-cost sensors Istanbul, Turkey | 25.1 | |
| 88 | Santa Anita - Los Ficus Lima region, Peru | 25.1 | |
| 90 | Thāne Maharashtra, India | 24.8 | |
| 90 | Medicine Hat Alberta, Canada | 24.8 | |
| 92 | Ahilyanagar Maharashtra, India | 24.7 | |
| 93 | Ayase Kanagawa, Japan | 24.6 | |
| 94 | Jhālāwār Rajasthan, India | 24.5 | |
| 95 | Dhaulpur Rajasthan, India | 24.1 | |
| 95 | Heilbronn Baden-Wurttemberg, Germany | 24.1 | |
| 95 | Great Falls Montana, United States | 24.1 | |
| 98 | Naucalpan de Juárez México, Mexico | 24.0 | |
| 99 | Walla Walla Washington, United States | 23.9 | |
| 100 | Kaithal Haryana, India | 23.6 | |
| 101 | Thānesar Haryana, India | 23.5 | |
| 101 | Aalen Baden-Wurttemberg, Germany | 23.5 | |
| 101 | Pullman Washington, United States | 23.5 | |
| 101 | Byasanagar Odisha, India | 23.5 | |
| 105 | Kotli Loharan low-cost sensors Punjab, Pakistan | 23.4 | |
| 105 | Silchar Assam, India | 23.4 | |
| 105 | Kanpur Uttar Pradesh, India | 23.4 | |
| 105 | Speyer Rheinland-Pfalz, Germany | 23.4 | |
| 105 | Milan Lombardy, Italy | 23.4 | |
| 110 | Harare low-cost sensors Harare, Zimbabwe | 23.3 | |
| 110 | Říčany low-cost sensors Central Bohemia, Czechia | 23.3 | |
| 110 | Missoula Montana, United States | 23.3 | |
| 113 | Bārmer Rajasthan, India | 23.1 | |
| 113 | Calexico California, United States | 23.1 | |
| 115 | Celaya Guanajuato, Mexico | 23.0 | |
| 116 | Jaisalmer Rajasthan, India | 22.9 | |
| 117 | Villingen-Schwenningen Baden-Wurttemberg, Germany | 22.7 | |
| 117 | Lampertheim Hesse, Germany | 22.7 | |
| 117 | Acerra Campania, Italy | 22.7 | |
| 120 | Marigliano Campania, Italy | 22.6 | |
| 121 | Phuntsholing low-cost sensors Chukha, Bhutan | 22.5 | |
| 121 | Callao Callao, Peru | 22.5 | |
| 123 | Rasapūdipalem Andhra Pradesh, India | 22.4 | |
| 123 | Ann Arbor low-cost sensors Michigan, United States | 22.4 | |
| 125 | Dūngarpur Rajasthan, India | 22.3 | |
| 125 | Stuttgart Baden-Wurttemberg, Germany | 22.3 | |
| 125 | Karlsruhe Baden-Wurttemberg, Germany | 22.3 | |
| 125 | Royal Oak low-cost sensors Michigan, United States | 22.3 | |
| 129 | Hachiōji Tokyo, Japan | 22.0 | |
| 129 | Pforzheim Baden-Wurttemberg, Germany | 22.0 | |
| 129 | Ludwigshafen am Rhein Rheinland-Pfalz, Germany | 22.0 | |
| 132 | Jaipur Rajasthan, India | 21.9 | |
| 132 | Ahmedabad Gujarat, India | 21.9 | |
| 132 | Wenatchee Washington, United States | 21.9 | |
| 135 | Bahawalpur low-cost sensors Punjab, Pakistan | 21.8 | |
| 135 | Chennai Tamil Nadu, India | 21.8 | |
| 135 | Gotemba Shizuoka, Japan | 21.8 | |
| 135 | Mannheim Baden-Wurttemberg, Germany | 21.8 | |
| 135 | Ludwigsburg Baden-Wurttemberg, Germany | 21.8 | |
| 135 | Columbus Georgia, United States | 21.8 | |
| 135 | Torrance low-cost sensors California, United States | 21.8 | |
| 135 | Baddi Himachal Pradesh, India | 21.8 | |
| 143 | Kalisz Greater Poland, Poland | 21.7 | |
| 144 | Ulm Baden-Wurttemberg, Germany | 21.6 | |
| 144 | Kaiserslautern Rheinland-Pfalz, Germany | 21.6 | |
| 146 | Minamirinkan Kanagawa, Japan | 21.5 | |
| 146 | Isehara Kanagawa, Japan | 21.5 | |
| 146 | Friedrichshafen Baden-Wurttemberg, Germany | 21.5 | |
| 146 | Redmond Oregon, United States | 21.5 | |
| 150 | Eggenstein-Leopoldshafen Baden-Wurttemberg, Germany | 21.4 | |
| 151 | Kota Rajasthan, India | 21.3 | |
| 151 | Coimbatore Tamil Nadu, India | 21.3 | |
| 153 | Jīnd Haryana, India | 21.1 | |
| 153 | Kolkata West Bengal, India | 21.1 | |
| 153 | Joda Odisha, India | 21.1 | |
| 156 | Schwäbisch Hall Baden-Wurttemberg, Germany | 21.0 | |
| 156 | Biberach an der Riß Baden-Wurttemberg, Germany | 21.0 | |
| 156 | Atlixco Puebla, Mexico | 21.0 | |
| 156 | San Francisco De Borja Lima region, Peru | 21.0 | |
| 160 | Kurihama Kanagawa, Japan | 20.9 | |
| 160 | Worms Rheinland-Pfalz, Germany | 20.9 | |
| 160 | Wiesloch Baden-Wurttemberg, Germany | 20.9 | |
| 160 | Tübingen Baden-Wurttemberg, Germany | 20.9 | |
| 160 | Landshut Bavaria, Germany | 20.9 | |
| 165 | Gorzów Wielkopolski Lubusz, Poland | 20.8 | |
| 166 | Shrīrāmpur West Bengal, India | 20.7 | |
| 166 | Konstanz Baden-Wurttemberg, Germany | 20.7 | |
| 168 | Trebišov Košice Region, Slovakia | 20.6 | |
| 168 | Gaya Bihar, India | 20.6 | |
| 168 | Würzburg Bavaria, Germany | 20.6 | |
| 168 | Nice Provence-Alpes-Côte d'Azur, France | 20.6 | |
| 172 | Nalbāri Assam, India | 20.5 | |
| 172 | Filderstadt Baden-Wurttemberg, Germany | 20.5 | |
| 172 | Silao de la Victoria Guanajuato, Mexico | 20.5 | |
| 175 | Hāpur Uttar Pradesh, India | 20.4 | |
| 175 | Bhilwara Rajasthan, India | 20.4 | |
| 175 | Tateyama Chiba, Japan | 20.4 | |
| 175 | Lauda-Königshofen Baden-Wurttemberg, Germany | 20.4 | |
| 179 | Reutlingen Baden-Wurttemberg, Germany | 20.3 | |
| 179 | Spokane Washington, United States | 20.3 | |
| 181 | Hiratsuka Kanagawa, Japan | 20.2 | |
| 181 | Basel Basel-City, Switzerland | 20.2 | |
| 181 | Unna North Rhine-Westphalia, Germany | 20.2 | |
| 181 | Lörrach Baden-Wurttemberg, Germany | 20.2 | |
| 181 | Nîmes Occitanie, France | 20.2 | |
| 186 | Saharsa Bihar, India | 20.1 | |
| 186 | Aihara Kanagawa, Japan | 20.1 | |
| 186 | Bern Bern, Switzerland | 20.1 | |
| 186 | Augsburg Bavaria, Germany | 20.1 | |
| 186 | Riedstadt Hesse, Germany | 20.1 | |
| 186 | Westerville Ohio, United States | 20.1 | |
| 192 | Agra Uttar Pradesh, India | 20.0 | |
| 192 | Baden-Baden Baden-Wurttemberg, Germany | 20.0 | |
| 192 | Trnava Trnava Region, Slovakia | 20.0 | |
| 192 | Salamanca Guanajuato, Mexico | 20.0 | |
| 192 | Montgomery Alabama, United States | 20.0 | |
| 197 | Tumkūr Karnataka, India | 19.9 | |
| 197 | Bydgoszcz Kujawsko-Pomorskie, Poland | 19.9 | |
| 197 | Columbus Ohio, United States | 19.9 | |
| 197 | Swift Current Saskatchewan, Canada | 19.9 |
Top 200 of 2,280 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