SmogRank / History / June 5, 2026
Most polluted cities on June 5, 2026
2,238 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Faridabad Haryana, India | 156.0 | |
| 2 | Jharia Jharkhand, India | 113.0 | |
| 3 | Angul Odisha, India | 85.7 | |
| 4 | Bhiwāni Haryana, India | 84.2 | |
| 5 | Gummidipundi Tamil Nadu, India | 81.5 | |
| 6 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 76.9 | |
| 7 | Hājīpur Bihar, India | 75.5 | |
| 8 | Gurugram Haryana, India | 65.9 | |
| 9 | Nalbāri Assam, India | 61.5 | |
| 10 | Dādri Uttar Pradesh, India | 60.6 | |
| 11 | Noida Uttar Pradesh, India | 60.5 | |
| 12 | Ropar Punjab, India | 59.9 | |
| 13 | Kampala low-cost sensors Central Region, Uganda | 58.2 | |
| 14 | Bhiwadi Rajasthan, India | 55.7 | |
| 15 | Greater Noida Uttar Pradesh, India | 55.4 | |
| 16 | Chāpra Bihar, India | 55.1 | |
| 17 | Dhāruhera Haryana, India | 53.2 | |
| 18 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 52.5 | |
| 19 | Baddi Himachal Pradesh, India | 51.7 | |
| 20 | Vapi Gujarat, India | 51.3 | |
| 21 | Bahadurgarh Haryana, India | 50.7 | |
| 22 | Narela Delhi, India | 50.5 | |
| 23 | Aya Nagar Delhi, India | 49.5 | |
| 24 | Karnāl Haryana, India | 49.0 | |
| 25 | Delhi Delhi, India | 47.3 | |
| 26 | Bhelai Chhattisgarh, India | 45.3 | |
| 27 | Singrauli Madhya Pradesh, India | 44.9 | |
| 28 | Hāpur Uttar Pradesh, India | 44.1 | |
| 28 | Ambāla Haryana, India | 44.1 | |
| 30 | Muzaffarnagar Uttar Pradesh, India | 43.8 | |
| 31 | Patna Bihar, India | 43.4 | |
| 32 | Hyderabad Telangana, India | 41.8 | |
| 33 | Rājgīr Bihar, India | 41.7 | |
| 34 | Sonīpat Haryana, India | 41.6 | |
| 35 | Jalandhar Punjab, India | 40.6 | |
| 36 | Sirsa Haryana, India | 40.5 | |
| 37 | Barbil Odisha, India | 40.2 | |
| 38 | Lucknow Uttar Pradesh, India | 40.0 | |
| 39 | Palembang low-cost sensors South Sumatra, Indonesia | 38.8 | |
| 39 | Undera Gujarat, India | 38.8 | |
| 41 | Vijayawada Andhra Pradesh, India | 38.6 | |
| 41 | Jīnd Haryana, India | 38.6 | |
| 43 | El Paso Texas, United States | 38.2 | |
| 44 | Lahore low-cost sensors Punjab, Pakistan | 38.1 | |
| 45 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 37.9 | |
| 46 | Faisalabad low-cost sensors Punjab, Pakistan | 37.7 | |
| 46 | Rourkela Odisha, India | 37.7 | |
| 46 | Kathmandu low-cost sensors Bagmati Province, Nepal | 37.7 | |
| 49 | Badlapur Maharashtra, India | 37.6 | |
| 50 | Rasapūdipalem Andhra Pradesh, India | 37.0 | |
| 51 | Chittoor Andhra Pradesh, India | 36.8 | |
| 52 | Gaya Bihar, India | 36.6 | |
| 53 | Thānesar Haryana, India | 36.4 | |
| 54 | Najafgarh Delhi, India | 36.3 | |
| 55 | Keonjhargarh Odisha, India | 35.8 | |
| 56 | Rairangpur Odisha, India | 35.7 | |
| 57 | Kaithal Haryana, India | 35.6 | |
| 57 | Bānswāra Rajasthan, India | 35.6 | |
| 59 | Kota Rajasthan, India | 34.9 | |
| 60 | Begusarai Bihar, India | 34.4 | |
| 61 | Rawalpindi low-cost sensors Punjab, Pakistan | 34.2 | |
| 61 | Thāne Maharashtra, India | 34.2 | |
| 63 | Dubai low-cost sensors Dubai, United Arab Emirates | 34.1 | |
| 63 | Agra Uttar Pradesh, India | 34.1 | |
| 65 | Bahawalpur low-cost sensors Punjab, Pakistan | 33.9 | |
| 66 | Buxar Bihar, India | 33.8 | |
| 67 | Ciudad Juárez Chihuahua, Mexico | 33.2 | |
| 68 | Gujranwala low-cost sensors Punjab, Pakistan | 32.7 | |
| 68 | Bhiwandi Maharashtra, India | 32.7 | |
| 70 | Lilongwe low-cost sensors Central Region, Malawi | 32.6 | |
| 71 | Socorro Texas, United States | 32.4 | |
| 72 | Anantapur Andhra Pradesh, India | 32.1 | |
| 73 | Nagaon Assam, India | 31.8 | |
| 74 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 31.6 | |
| 75 | Lima Lima Province, Peru | 31.3 | |
| 76 | Sri Ganganagar Rajasthan, India | 31.2 | |
| 77 | Lagos low-cost sensors Lagos, Nigeria | 31.0 | |
| 77 | Santa Anita - Los Ficus Lima region, Peru | 31.0 | |
| 79 | Iloilo low-cost sensors Western Visayas, Philippines | 30.7 | |
| 80 | Malegaon Maharashtra, India | 30.0 | |
| 80 | Wadgaon Kolhati Maharashtra, India | 30.0 | |
| 82 | Phuntsholing low-cost sensors Chukha, Bhutan | 29.8 | |
| 83 | Morādābād Uttar Pradesh, India | 29.7 | |
| 84 | Yamuna Nagar Haryana, India | 29.6 | |
| 84 | Ciudad Nezahualcoyotl México, Mexico | 29.6 | |
| 86 | Sialkot low-cost sensors Punjab, Pakistan | 29.5 | |
| 87 | Panchkula Haryana, India | 29.3 | |
| 88 | Meerut Uttar Pradesh, India | 29.2 | |
| 88 | Akola Maharashtra, India | 29.2 | |
| 90 | Ełk Warmia-Masuria, Poland | 29.1 | |
| 91 | Karachi low-cost sensors Sindh, Pakistan | 28.1 | |
| 92 | Jalor Rajasthan, India | 28.0 | |
| 93 | Tirupati Andhra Pradesh, India | 27.9 | |
| 93 | Nilópolis Rio de Janeiro, Brazil | 27.9 | |
| 95 | Bhāgalpur Bihar, India | 27.3 | |
| 95 | Ajmer Rajasthan, India | 27.3 | |
| 97 | Hyderabad low-cost sensors Sindh, Pakistan | 27.2 | |
| 98 | Naucalpan de Juárez México, Mexico | 27.1 | |
| 98 | Sunland Park New Mexico, United States | 27.1 | |
| 100 | Durgapur West Bengal, India | 27.0 | |
| 100 | Ahmedabad Gujarat, India | 27.0 | |
| 100 | Calexico California, United States | 27.0 | |
| 103 | Istanbul low-cost sensors Istanbul, Turkey | 26.8 | |
| 104 | Bhubaneswar Odisha, India | 26.7 | |
| 104 | Pasadena low-cost sensors California, United States | 26.7 | |
| 106 | Quthbullapur Telangana, India | 26.2 | |
| 107 | Ashaiman low-cost sensors Greater Accra, Ghana | 26.0 | |
| 108 | Āsansol West Bengal, India | 25.6 | |
| 108 | Ibadan low-cost sensors Oyo State, Nigeria | 25.6 | |
| 110 | Bettiah Bihar, India | 25.5 | |
| 111 | Kanpur Uttar Pradesh, India | 25.3 | |
| 112 | Boisar Maharashtra, India | 25.2 | |
| 112 | Arāria Bihar, India | 25.2 | |
| 114 | Multan low-cost sensors Punjab, Pakistan | 25.0 | |
| 115 | Rājsamand Rajasthan, India | 24.9 | |
| 116 | Nagpur Maharashtra, India | 24.8 | |
| 116 | Hanumāngarh Rajasthan, India | 24.8 | |
| 118 | Bareilly Uttar Pradesh, India | 24.7 | |
| 119 | Kadapa Andhra Pradesh, India | 24.6 | |
| 119 | Tema low-cost sensors Greater Accra, Ghana | 24.6 | |
| 121 | Kolkata West Bengal, India | 24.5 | |
| 122 | Harare low-cost sensors Harare, Zimbabwe | 24.4 | |
| 123 | Jhunjhunūn Rajasthan, India | 24.2 | |
| 123 | Jalgaon Maharashtra, India | 24.2 | |
| 125 | Quezon City low-cost sensors National Capital Region, Philippines | 24.0 | |
| 126 | Latur Maharashtra, India | 23.9 | |
| 126 | Jabalpur Madhya Pradesh, India | 23.9 | |
| 128 | Cuttack Odisha, India | 23.8 | |
| 128 | Haldia West Bengal, India | 23.8 | |
| 130 | Karonga low-cost sensors Northern Region, Malawi | 23.7 | |
| 130 | Arrah Bihar, India | 23.7 | |
| 130 | Mexico City Mexico City, Mexico | 23.7 | |
| 133 | Jaipur Rajasthan, India | 23.6 | |
| 133 | Las Cruces New Mexico, United States | 23.6 | |
| 135 | Kalyān Maharashtra, India | 23.4 | |
| 136 | Nashik Maharashtra, India | 23.2 | |
| 136 | Callao Callao, Peru | 23.2 | |
| 138 | Shrīrāmpur West Bengal, India | 23.0 | |
| 138 | Hubballi Karnataka, India | 23.0 | |
| 140 | Rānīganj West Bengal, India | 22.9 | |
| 141 | Dushanbe Dushanbe, Tajikistan | 22.8 | |
| 141 | Neelankarai Tamil Nadu, India | 22.8 | |
| 143 | Chennai Tamil Nadu, India | 22.7 | |
| 144 | Chittorgarh Rajasthan, India | 22.6 | |
| 145 | Kotli Loharan low-cost sensors Punjab, Pakistan | 22.5 | |
| 146 | Jaisalmer Rajasthan, India | 22.4 | |
| 146 | Torrance low-cost sensors California, United States | 22.4 | |
| 148 | Singapore low-cost sensors Singapore | 22.3 | |
| 149 | Zomba low-cost sensors Southern Region, Malawi | 22.1 | |
| 150 | Białystok Podlasie, Poland | 22.0 | |
| 150 | Coimbatore Tamil Nadu, India | 22.0 | |
| 152 | Dhule Maharashtra, India | 21.6 | |
| 152 | Changchun low-cost sensors Jilin, China | 21.6 | |
| 152 | Santa Monica low-cost sensors California, United States | 21.6 | |
| 155 | San Francisco De Borja Lima region, Peru | 21.5 | |
| 156 | Sirohi Rajasthan, India | 21.4 | |
| 156 | San Pedro Sula low-cost sensors Cortés Department, Honduras | 21.4 | |
| 158 | Gwalior Madhya Pradesh, India | 20.9 | |
| 159 | Parbhani Maharashtra, India | 20.8 | |
| 160 | Dūngarpur Rajasthan, India | 20.7 | |
| 160 | San Luis Potosí San Luis Potosí, Mexico | 20.7 | |
| 160 | Aguascalientes Aguascalientes, Mexico | 20.7 | |
| 163 | Dausa Rajasthan, India | 20.6 | |
| 163 | Royal Oak low-cost sensors Michigan, United States | 20.6 | |
| 165 | Prayagraj Uttar Pradesh, India | 20.5 | |
| 166 | Shivamogga Karnataka, India | 19.9 | |
| 166 | Tulancingo Hidalgo, Mexico | 19.9 | |
| 168 | Mixquiahuala de Juárez Hidalgo, Mexico | 19.8 | |
| 169 | Silchar Assam, India | 19.6 | |
| 169 | Dolton Illinois, United States | 19.6 | |
| 169 | Los Angeles California, United States | 19.6 | |
| 172 | Blantyre low-cost sensors Southern Region, Malawi | 19.5 | |
| 173 | Suwałki Podlasie, Poland | 19.4 | |
| 174 | Jurupa Valley California, United States | 19.1 | |
| 175 | Mumbai Maharashtra, India | 19.0 | |
| 175 | Aurangabad Maharashtra, India | 19.0 | |
| 177 | Wake Forest low-cost sensors North Carolina, United States | 18.9 | |
| 178 | Gandhinagar Gujarat, India | 18.7 | |
| 179 | Tlaquepaque Jalisco, Mexico | 18.6 | |
| 180 | Amravati Maharashtra, India | 18.5 | |
| 181 | Surat Gujarat, India | 18.3 | |
| 182 | Otwock Mazovia, Poland | 18.2 | |
| 182 | Tirumala Andhra Pradesh, India | 18.2 | |
| 182 | Valletta Valletta, Malta | 18.2 | |
| 182 | Tuxtla Chiapas, Mexico | 18.2 | |
| 182 | Compton California, United States | 18.2 | |
| 182 | Riverside California, United States | 18.2 | |
| 188 | Pratāpgarh Rajasthan, India | 18.0 | |
| 188 | Vijayapura Karnataka, India | 18.0 | |
| 188 | Puebla Puebla, Mexico | 18.0 | |
| 191 | Jodhpur Rajasthan, India | 17.6 | |
| 191 | West Mifflin Pennsylvania, United States | 17.6 | |
| 191 | La Providencia Siglo XXI Hidalgo, Mexico | 17.6 | |
| 194 | Gangtok Sikkim, India | 17.5 | |
| 195 | Żabbar Ħaż-Żabbar, Malta | 17.4 | |
| 195 | Brookfield low-cost sensors Wisconsin, United States | 17.4 | |
| 197 | Bhilwara Rajasthan, India | 17.3 | |
| 197 | Dakar low-cost sensors Dakar, Senegal | 17.3 | |
| 197 | Accra low-cost sensors Greater Accra, Ghana | 17.3 | |
| 200 | Baku Baki, Azerbaijan | 17.2 |
Top 200 of 2,238 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