SmogRank / History / October 2, 2025
Most polluted cities on October 2, 2025
1,867 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Gujranwala low-cost sensors Punjab, Pakistan | 146.0 | |
| 2 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 107.0 | |
| 3 | Cuddalore Tamil Nadu, India | 102.0 | |
| 4 | Lahore low-cost sensors Punjab, Pakistan | 93.4 | |
| 5 | Faisalabad low-cost sensors Punjab, Pakistan | 88.6 | |
| 6 | Sialkot low-cost sensors Punjab, Pakistan | 80.3 | |
| 7 | Dushanbe Dushanbe, Tajikistan | 78.5 | |
| 8 | Gurugram Haryana, India | 64.3 | |
| 9 | Multan low-cost sensors Punjab, Pakistan | 63.2 | |
| 10 | Rasapūdipalem Andhra Pradesh, India | 56.5 | |
| 11 | Mohali Punjab, India | 56.4 | |
| 12 | Gummidipundi Tamil Nadu, India | 56.2 | |
| 13 | Narela Delhi, India | 56.1 | |
| 14 | Faridabad Haryana, India | 53.1 | |
| 15 | Changchun low-cost sensors Jilin, China | 52.5 | |
| 16 | Noida Uttar Pradesh, India | 52.0 | |
| 17 | Hāpur Uttar Pradesh, India | 51.1 | |
| 18 | Rawalpindi low-cost sensors Punjab, Pakistan | 50.5 | |
| 19 | Dādri Uttar Pradesh, India | 50.4 | |
| 20 | Chittoor Andhra Pradesh, India | 48.2 | |
| 21 | Hanumāngarh Rajasthan, India | 48.1 | |
| 22 | Kampala low-cost sensors Central Region, Uganda | 45.9 | |
| 23 | Ghāziābād Uttar Pradesh, India | 45.8 | |
| 24 | Bhiwadi Rajasthan, India | 44.9 | |
| 25 | Delhi Delhi, India | 43.7 | |
| 26 | Greater Noida Uttar Pradesh, India | 42.1 | |
| 27 | Chandigarh Chandigarh, India | 40.1 | |
| 28 | Łask Łódź Voivodeship, Poland | 40.0 | |
| 29 | Ropar Punjab, India | 39.1 | |
| 30 | Dubai low-cost sensors Dubai, United Arab Emirates | 39.0 | |
| 31 | Bahawalpur low-cost sensors Punjab, Pakistan | 38.8 | |
| 32 | Islamabad low-cost sensors Islamabad, Pakistan | 38.5 | |
| 33 | Ambāla Haryana, India | 38.3 | |
| 34 | Tonk Rajasthan, India | 38.2 | |
| 35 | Hyderabad low-cost sensors Sindh, Pakistan | 38.1 | |
| 36 | Buxar Bihar, India | 37.9 | |
| 37 | Jabalpur Madhya Pradesh, India | 37.7 | |
| 38 | Kharghar Maharashtra, India | 37.2 | |
| 39 | Aya Nagar Delhi, India | 37.0 | |
| 40 | Morādābād Uttar Pradesh, India | 36.8 | |
| 41 | Najafgarh Delhi, India | 36.1 | |
| 42 | Nalbāri Assam, India | 35.7 | |
| 43 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 35.3 | |
| 44 | Sri Ganganagar Rajasthan, India | 35.0 | |
| 45 | Srinagar Jammu and Kashmir, India | 34.6 | |
| 45 | Serilingampalle Telangana, India | 34.6 | |
| 47 | Porto low-cost sensors Porto, Portugal | 34.3 | |
| 48 | Nagaon Assam, India | 33.6 | |
| 48 | Radomsko Łódź Voivodeship, Poland | 33.6 | |
| 50 | Bāghpat Uttar Pradesh, India | 33.2 | |
| 51 | Jīnd Haryana, India | 32.9 | |
| 52 | Quthbullapur Telangana, India | 32.7 | |
| 53 | Wenatchee Washington, United States | 32.5 | |
| 54 | Jaipur Rajasthan, India | 31.9 | |
| 55 | Kalisz Greater Poland, Poland | 31.0 | |
| 56 | Lucknow Uttar Pradesh, India | 30.4 | |
| 57 | Ajmer Rajasthan, India | 30.1 | |
| 58 | Patiāla Punjab, India | 30.0 | |
| 59 | Lagos low-cost sensors Lagos, Nigeria | 29.9 | |
| 60 | Wadgaon Kolhati Maharashtra, India | 29.8 | |
| 61 | Gent Flanders, Belgium | 29.6 | |
| 62 | Bielsko-Biala Silesia, Poland | 29.2 | |
| 63 | Karachi low-cost sensors Sindh, Pakistan | 29.1 | |
| 64 | Bhilwara Rajasthan, India | 29.0 | |
| 65 | Sirsa Haryana, India | 28.2 | |
| 65 | Aurangabad Maharashtra, India | 28.2 | |
| 65 | Haarlem low-cost sensors North Holland, The Netherlands | 28.2 | |
| 68 | Iloilo low-cost sensors Western Visayas, Philippines | 28.0 | |
| 69 | Chennai Tamil Nadu, India | 27.9 | |
| 69 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 27.9 | |
| 71 | Patna Bihar, India | 27.8 | |
| 72 | Thānesar Haryana, India | 27.7 | |
| 73 | Kadapa Andhra Pradesh, India | 27.6 | |
| 74 | Dhule Maharashtra, India | 27.5 | |
| 75 | Quetta low-cost sensors Balochistan, Pakistan | 27.0 | |
| 76 | Sīkar Rajasthan, India | 26.7 | |
| 77 | Jastrzębie Zdrój Silesia, Poland | 26.4 | |
| 78 | San Salvador Tizatlalli México, Mexico | 26.3 | |
| 79 | Vereeniging low-cost sensors Gauteng, South Africa | 26.2 | |
| 79 | Jhunjhunūn Rajasthan, India | 26.2 | |
| 81 | Rourkela Odisha, India | 25.9 | |
| 82 | Blantyre low-cost sensors Southern Region, Malawi | 25.8 | |
| 83 | Bengaluru Karnataka, India | 25.3 | |
| 84 | Birmingham low-cost sensors England, United Kingdom | 25.1 | |
| 85 | Edmonton Alberta, Canada | 25.0 | |
| 86 | Kłodzko Lower Silesia, Poland | 24.9 | |
| 87 | Agra Uttar Pradesh, India | 24.7 | |
| 88 | Żyrardów Mazovia, Poland | 24.5 | |
| 88 | Silchar Assam, India | 24.5 | |
| 90 | Dębica Subcarpathia, Poland | 24.0 | |
| 90 | Cholula Puebla, Mexico | 24.0 | |
| 90 | Neelankarai Tamil Nadu, India | 24.0 | |
| 93 | Quezon City low-cost sensors National Capital Region, Philippines | 23.9 | |
| 94 | Radom Mazovia, Poland | 23.4 | |
| 95 | Chānda Maharashtra, India | 23.3 | |
| 96 | Kota Rajasthan, India | 23.1 | |
| 96 | Jhālāwār Rajasthan, India | 23.1 | |
| 98 | Cambridge low-cost sensors England, United Kingdom | 23.0 | |
| 98 | Saskatoon Saskatchewan, Canada | 23.0 | |
| 100 | Jalandhar Punjab, India | 22.9 | |
| 101 | Wrocław Lower Silesia, Poland | 22.4 | |
| 102 | Vijayapura Karnataka, India | 22.2 | |
| 103 | Otwock Mazovia, Poland | 22.0 | |
| 104 | Jarosław Subcarpathia, Poland | 21.9 | |
| 104 | Raipur Chhattisgarh, India | 21.9 | |
| 106 | Gwalior Madhya Pradesh, India | 21.6 | |
| 106 | Royal Oak low-cost sensors Michigan, United States | 21.6 | |
| 108 | Říčany low-cost sensors Central Bohemia, Czechia | 21.5 | |
| 109 | Żywiec Silesia, Poland | 21.3 | |
| 109 | Red Deer Alberta, Canada | 21.3 | |
| 111 | Starachowice Świętokrzyskie, Poland | 21.2 | |
| 111 | Baytown Texas, United States | 21.2 | |
| 113 | Badlapur Maharashtra, India | 20.9 | |
| 113 | Poznań Greater Poland, Poland | 20.9 | |
| 113 | Singrauli Madhya Pradesh, India | 20.9 | |
| 116 | Shivamogga Karnataka, India | 20.8 | |
| 116 | Czechowice-Dziedzice Silesia, Poland | 20.8 | |
| 118 | Saugor Madhya Pradesh, India | 20.5 | |
| 119 | Bangkok low-cost sensors Bangkok, Thailand | 20.3 | |
| 120 | Bhiwāni Haryana, India | 20.2 | |
| 120 | Houston Texas, United States | 20.2 | |
| 120 | Parque Industrial Ciudad Mitras Nuevo León, Mexico | 20.2 | |
| 123 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 20.0 | |
| 124 | Nisko Subcarpathia, Poland | 19.9 | |
| 124 | Jalgaon Maharashtra, India | 19.9 | |
| 124 | Fengshan Takao, Taiwan | 19.9 | |
| 127 | Istanbul low-cost sensors Istanbul, Turkey | 19.8 | |
| 127 | Chittorgarh Rajasthan, India | 19.8 | |
| 129 | Mankato Minnesota, United States | 19.6 | |
| 130 | Mielec Subcarpathia, Poland | 19.5 | |
| 130 | Sāngli Maharashtra, India | 19.5 | |
| 130 | Winterthur low-cost sensors Zurich, Switzerland | 19.5 | |
| 134 | Vijayawada Andhra Pradesh, India | 19.3 | |
| 134 | Mexico City Mexico City, Mexico | 19.3 | |
| 136 | Avilés Asturias, Spain | 19.1 | |
| 137 | Užice Central Serbia, Serbia | 19.0 | |
| 137 | Moore Oklahoma, United States | 19.0 | |
| 139 | Vapi Gujarat, India | 18.9 | |
| 140 | Ahmedabad Gujarat, India | 18.8 | |
| 141 | Chūru Rajasthan, India | 18.7 | |
| 142 | Mahād Maharashtra, India | 18.6 | |
| 143 | Nagpur Maharashtra, India | 18.5 | |
| 143 | Kalaburagi Karnataka, India | 18.5 | |
| 145 | Yuanlin Taiwan, Taiwan | 18.4 | |
| 146 | Coimbatore Tamil Nadu, India | 18.3 | |
| 147 | Agartala Tripura, India | 18.2 | |
| 147 | García Nuevo León, Mexico | 18.2 | |
| 149 | Obrenovac Central Serbia, Serbia | 18.1 | |
| 149 | Panvel Maharashtra, India | 18.1 | |
| 149 | Sukuta low-cost sensors Western, Gambia | 18.1 | |
| 152 | Nandri Rajasthan, India | 18.0 | |
| 153 | Amravati Maharashtra, India | 17.9 | |
| 154 | Rzeszów Subcarpathia, Poland | 17.7 | |
| 154 | Szczecin West Pomerania, Poland | 17.7 | |
| 156 | Jelenia Góra Lower Silesia, Poland | 17.6 | |
| 157 | Sherwood Park Alberta, Canada | 17.5 | |
| 158 | Arrah Bihar, India | 17.4 | |
| 159 | Ashaiman low-cost sensors Greater Accra, Ghana | 17.3 | |
| 159 | Columbia low-cost sensors Missouri, United States | 17.3 | |
| 161 | Rānīganj West Bengal, India | 17.2 | |
| 161 | Queenstown Estate low-cost sensors Singapore | 17.2 | |
| 161 | Brzeg Opole Voivodeship, Poland | 17.2 | |
| 164 | Ankleshwar Gujarat, India | 17.1 | |
| 164 | Ciudad Benito Juárez Nuevo León, Mexico | 17.1 | |
| 166 | Kielce Świętokrzyskie, Poland | 17.0 | |
| 166 | Pune Maharashtra, India | 17.0 | |
| 166 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 17.0 | |
| 169 | Salamanca Guanajuato, Mexico | 16.9 | |
| 169 | St. Albert Alberta, Canada | 16.9 | |
| 171 | Hacienda Santa Fe Jalisco, Mexico | 16.8 | |
| 172 | Pratāpgarh Rajasthan, India | 16.7 | |
| 172 | Tlaquepaque Jalisco, Mexico | 16.7 | |
| 172 | Pasadena Texas, United States | 16.7 | |
| 172 | Sai Mai low-cost sensors Bangkok, Thailand | 16.7 | |
| 176 | Tarnów Lesser Poland, Poland | 16.6 | |
| 177 | Hubballi Karnataka, India | 16.5 | |
| 177 | Daxi Taiwan, Taiwan | 16.5 | |
| 177 | Knokke-Heist Flanders, Belgium | 16.5 | |
| 180 | Jalor Rajasthan, India | 16.4 | |
| 180 | Wan Chai Wan Chai, Hong Kong | 16.4 | |
| 180 | Miyakonojō Miyazaki, Japan | 16.4 | |
| 180 | Tema low-cost sensors Greater Accra, Ghana | 16.4 | |
| 180 | Puebla Puebla, Mexico | 16.4 | |
| 180 | Kirishima Kagoshima, Japan | 16.4 | |
| 186 | Akola Maharashtra, India | 16.3 | |
| 186 | Fort Dodge Iowa, United States | 16.3 | |
| 188 | Rishīkesh Uttarakhand, India | 16.2 | |
| 188 | Zielona Góra Lubusz, Poland | 16.2 | |
| 190 | Buzi Taiwan, Taiwan | 16.1 | |
| 190 | Bydgoszcz Kujawsko-Pomorskie, Poland | 16.1 | |
| 192 | Toruń Kujawsko-Pomorskie, Poland | 16.0 | |
| 192 | San Luis de la Paz Guanajuato, Mexico | 16.0 | |
| 194 | Perundurai Tamil Nadu, India | 15.9 | |
| 194 | Łódź Łódź Voivodeship, Poland | 15.9 | |
| 194 | Superior Wisconsin, United States | 15.9 | |
| 197 | Wawer Mazovia, Poland | 15.8 | |
| 197 | Jasło Subcarpathia, Poland | 15.8 | |
| 197 | Nashik Maharashtra, India | 15.8 | |
| 197 | Madikeri Karnataka, India | 15.8 |
Top 200 of 1,867 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