SmogRank / History / June 29, 2026
Most polluted cities on June 29, 2026
2,241 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Veszprém Veszprém, Hungary | 776.0 | |
| 2 | Bahadurgarh Haryana, India | 123.0 | |
| 3 | Karnāl Haryana, India | 116.0 | |
| 4 | Gurugram Haryana, India | 114.0 | |
| 5 | Dushanbe Dushanbe, Tajikistan | 86.5 | |
| 6 | Kampala low-cost sensors Central Region, Uganda | 82.3 | |
| 7 | Bhiwāni Haryana, India | 82.0 | |
| 8 | Thānesar Haryana, India | 78.2 | |
| 9 | Jīnd Haryana, India | 76.3 | |
| 10 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 74.6 | |
| 11 | Buxar Bihar, India | 72.7 | |
| 12 | Dera Māndi Delhi, India | 71.2 | |
| 13 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 62.3 | |
| 14 | Kaithal Haryana, India | 62.0 | |
| 15 | Gujranwala low-cost sensors Punjab, Pakistan | 61.0 | |
| 16 | Narela Delhi, India | 58.8 | |
| 17 | Bhiwadi Rajasthan, India | 58.4 | |
| 18 | Muzaffarnagar Uttar Pradesh, India | 57.9 | |
| 19 | Faridabad Haryana, India | 57.7 | |
| 20 | Dhāruhera Haryana, India | 55.9 | |
| 21 | Hāpur Uttar Pradesh, India | 55.3 | |
| 22 | Fort McMurray Alberta, Canada | 55.2 | |
| 23 | Ghāziābād Uttar Pradesh, India | 54.9 | |
| 24 | Dādri Uttar Pradesh, India | 54.4 | |
| 25 | Jammu low-cost sensors Jammu and Kashmir, India | 50.8 | |
| 25 | Anantapur Andhra Pradesh, India | 50.8 | |
| 27 | Eagle Pass Texas, United States | 49.8 | |
| 28 | Karonga low-cost sensors Northern Region, Malawi | 47.3 | |
| 29 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 47.1 | |
| 30 | Vereeniging low-cost sensors Gauteng, South Africa | 46.8 | |
| 31 | Hājīpur Bihar, India | 45.5 | |
| 32 | Lahore low-cost sensors Punjab, Pakistan | 44.7 | |
| 33 | Dubai low-cost sensors Dubai, United Arab Emirates | 44.6 | |
| 33 | Sialkot low-cost sensors Punjab, Pakistan | 44.6 | |
| 35 | Murree low-cost sensors Punjab, Pakistan | 44.2 | |
| 35 | Rourkela Odisha, India | 44.2 | |
| 37 | Gummidipundi Tamil Nadu, India | 43.8 | |
| 38 | Kotli Loharan low-cost sensors Punjab, Pakistan | 43.7 | |
| 39 | Noida Uttar Pradesh, India | 42.8 | |
| 40 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 42.3 | |
| 41 | Delhi Delhi, India | 42.2 | |
| 42 | Rawalpindi low-cost sensors Punjab, Pakistan | 41.6 | |
| 43 | Edmonton Alberta, Canada | 41.2 | |
| 43 | Greater Noida Uttar Pradesh, India | 41.2 | |
| 45 | Sīkar Rajasthan, India | 41.1 | |
| 46 | Ambāla Haryana, India | 40.8 | |
| 47 | Flagstaff Arizona, United States | 40.5 | |
| 48 | Kathmandu low-cost sensors Bagmati Province, Nepal | 40.2 | |
| 49 | Baddi Himachal Pradesh, India | 40.1 | |
| 50 | Vapi Gujarat, India | 39.9 | |
| 51 | Iloilo low-cost sensors Western Visayas, Philippines | 38.7 | |
| 52 | Islamabad low-cost sensors Islamabad, Pakistan | 38.6 | |
| 53 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 38.4 | |
| 54 | Bānswāra Rajasthan, India | 38.1 | |
| 55 | St. Albert Alberta, Canada | 37.1 | |
| 56 | Patiāla Punjab, India | 37.0 | |
| 57 | Jaisalmer Rajasthan, India | 35.6 | |
| 58 | Faisalabad low-cost sensors Punjab, Pakistan | 35.2 | |
| 58 | Chāpra Bihar, India | 35.2 | |
| 58 | Aya Nagar Delhi, India | 35.2 | |
| 61 | Chittoor Andhra Pradesh, India | 35.0 | |
| 62 | Rājgīr Bihar, India | 34.8 | |
| 62 | Nagaon Assam, India | 34.8 | |
| 62 | Zagreb low-cost sensors Zagreb, Croatia | 34.8 | |
| 62 | Pueblo Colorado, United States | 34.8 | |
| 66 | Gandhinagar Gujarat, India | 34.4 | |
| 66 | Ankleshwar Gujarat, India | 34.4 | |
| 68 | Barbil Odisha, India | 34.3 | |
| 69 | Rasapūdipalem Andhra Pradesh, India | 33.9 | |
| 70 | Changchun low-cost sensors Jilin, China | 33.8 | |
| 71 | Vijayawada Andhra Pradesh, India | 33.7 | |
| 72 | Tuxtla Chiapas, Mexico | 33.4 | |
| 73 | Morādābād Uttar Pradesh, India | 33.3 | |
| 74 | Sri Ganganagar Rajasthan, India | 33.2 | |
| 75 | Mzuzu low-cost sensors Northern Region, Malawi | 33.1 | |
| 76 | Blantyre low-cost sensors Southern Region, Malawi | 32.0 | |
| 76 | Najafgarh Delhi, India | 32.0 | |
| 78 | Kadapa Andhra Pradesh, India | 31.9 | |
| 79 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 31.4 | |
| 80 | Joda Odisha, India | 31.2 | |
| 81 | Ahmedabad Gujarat, India | 31.1 | |
| 82 | Agra Uttar Pradesh, India | 31.0 | |
| 83 | Undera Gujarat, India | 30.9 | |
| 84 | Tonk Rajasthan, India | 30.8 | |
| 85 | Dhule Maharashtra, India | 30.7 | |
| 86 | Kolkata West Bengal, India | 30.5 | |
| 87 | Wadgaon Kolhati Maharashtra, India | 30.2 | |
| 88 | Tirupati Andhra Pradesh, India | 29.9 | |
| 88 | Lucknow Uttar Pradesh, India | 29.9 | |
| 90 | Yamuna Nagar Haryana, India | 29.8 | |
| 91 | Sept-Îles Quebec, Canada | 29.7 | |
| 92 | Dausa Rajasthan, India | 29.4 | |
| 93 | Calgary Alberta, Canada | 29.2 | |
| 93 | Red Deer Alberta, Canada | 29.2 | |
| 95 | Jhālāwār Rajasthan, India | 29.1 | |
| 95 | Angul Odisha, India | 29.1 | |
| 97 | Ropar Punjab, India | 28.7 | |
| 97 | Durgapur West Bengal, India | 28.7 | |
| 97 | Santa Anita - Los Ficus Lima region, Peru | 28.7 | |
| 100 | Shrīrāmpur West Bengal, India | 28.6 | |
| 101 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 28.4 | |
| 101 | Chānda Maharashtra, India | 28.4 | |
| 103 | Chittorgarh Rajasthan, India | 28.3 | |
| 103 | Neelankarai Tamil Nadu, India | 28.3 | |
| 105 | Ibadan low-cost sensors Oyo State, Nigeria | 28.2 | |
| 106 | Arāria Bihar, India | 28.1 | |
| 107 | Jaipur Rajasthan, India | 27.9 | |
| 108 | Ajmer Rajasthan, India | 27.8 | |
| 109 | Malegaon Maharashtra, India | 27.6 | |
| 110 | Jounieh low-cost sensors Mount Lebanon, Lebanon | 27.5 | |
| 111 | Jharia Jharkhand, India | 27.3 | |
| 111 | Lima Lima Province, Peru | 27.3 | |
| 111 | Airdrie Alberta, Canada | 27.3 | |
| 114 | Beirut low-cost sensors Beirut, Lebanon | 27.2 | |
| 114 | Istanbul low-cost sensors Istanbul, Turkey | 27.2 | |
| 114 | Bhiwandi Maharashtra, India | 27.2 | |
| 114 | Callao Callao, Peru | 27.2 | |
| 118 | Hyderabad low-cost sensors Sindh, Pakistan | 26.9 | |
| 119 | Ełk Warmia-Masuria, Poland | 26.6 | |
| 119 | Nepean low-cost sensors Ontario, Canada | 26.6 | |
| 121 | Karachi low-cost sensors Sindh, Pakistan | 26.3 | |
| 121 | Bhubaneswar Odisha, India | 26.3 | |
| 123 | Medina Estates low-cost sensors Greater Accra, Ghana | 25.9 | |
| 124 | Târgu Mureş low-cost sensors Mureș County, Romania | 25.8 | |
| 124 | Nilópolis Rio de Janeiro, Brazil | 25.8 | |
| 126 | Laredo Texas, United States | 25.7 | |
| 127 | Kanpur Uttar Pradesh, India | 25.5 | |
| 128 | Arrah Bihar, India | 25.4 | |
| 129 | Sidon low-cost sensors South Governorate, Lebanon | 25.1 | |
| 129 | Haldia West Bengal, India | 25.1 | |
| 129 | San Francisco De Borja Lima region, Peru | 25.1 | |
| 132 | Říčany low-cost sensors Central Bohemia, Czechia | 24.8 | |
| 133 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 24.7 | |
| 133 | Indore Madhya Pradesh, India | 24.7 | |
| 135 | Jalandhar Punjab, India | 24.6 | |
| 136 | Gaya Bihar, India | 24.4 | |
| 136 | Radomsko Łódź Voivodeship, Poland | 24.4 | |
| 136 | Byasanagar Odisha, India | 24.4 | |
| 139 | Patna Bihar, India | 24.2 | |
| 140 | Agartala Tripura, India | 24.0 | |
| 141 | Badlapur Maharashtra, India | 23.9 | |
| 141 | Lagos low-cost sensors Lagos, Nigeria | 23.9 | |
| 143 | Baripāda Odisha, India | 23.5 | |
| 143 | Kalisz Greater Poland, Poland | 23.5 | |
| 145 | Starachowice Świętokrzyskie, Poland | 23.4 | |
| 146 | Bhilwara Rajasthan, India | 23.3 | |
| 146 | Ashaiman low-cost sensors Greater Accra, Ghana | 23.3 | |
| 148 | Nagpur Maharashtra, India | 23.2 | |
| 149 | Brikama low-cost sensors Western, Gambia | 23.0 | |
| 150 | Karauli Rajasthan, India | 22.9 | |
| 150 | Quthbullapur Telangana, India | 22.9 | |
| 152 | Dallas Texas, United States | 22.6 | |
| 153 | Trussville Alabama, United States | 22.5 | |
| 154 | Gwalior Madhya Pradesh, India | 22.4 | |
| 155 | Bareilly Uttar Pradesh, India | 22.3 | |
| 155 | Aurangabad Maharashtra, India | 22.3 | |
| 155 | Akola Maharashtra, India | 22.3 | |
| 158 | Rairangpur Odisha, India | 22.0 | |
| 159 | Gorzów Wielkopolski Lubusz, Poland | 21.9 | |
| 160 | Austin Texas, United States | 21.8 | |
| 161 | Nisko Subcarpathia, Poland | 21.7 | |
| 161 | Keonjhargarh Odisha, India | 21.7 | |
| 161 | Bārmer Rajasthan, India | 21.7 | |
| 164 | Āsansol West Bengal, India | 21.5 | |
| 164 | Saguenay Quebec, Canada | 21.5 | |
| 166 | Zomba low-cost sensors Southern Region, Malawi | 21.4 | |
| 167 | Mostar Federation of B&H, Bosnia and Herzegovina | 21.3 | |
| 167 | Naucalpan de Juárez México, Mexico | 21.3 | |
| 169 | Kraków Lesser Poland, Poland | 21.2 | |
| 170 | Silchar Assam, India | 21.1 | |
| 170 | Edmundston New Brunswick, Canada | 21.1 | |
| 172 | Chennai Tamil Nadu, India | 21.0 | |
| 172 | Tema low-cost sensors Greater Accra, Ghana | 21.0 | |
| 172 | Łask Łódź Voivodeship, Poland | 21.0 | |
| 172 | Shreveport Louisiana, United States | 21.0 | |
| 176 | Little Rock Arkansas, United States | 20.9 | |
| 176 | Corpus Christi Texas, United States | 20.9 | |
| 178 | Bhāgalpur Bihar, India | 20.8 | |
| 178 | Springdale Arkansas, United States | 20.8 | |
| 180 | Zamość Lublin, Poland | 20.6 | |
| 180 | Kielce Świętokrzyskie, Poland | 20.6 | |
| 182 | Dūngarpur Rajasthan, India | 20.5 | |
| 182 | Dhaulpur Rajasthan, India | 20.5 | |
| 182 | Baytown Texas, United States | 20.5 | |
| 185 | Stodůlky low-cost sensors Prague, Czechia | 20.3 | |
| 186 | Multan low-cost sensors Punjab, Pakistan | 20.2 | |
| 187 | Hubballi Karnataka, India | 20.1 | |
| 188 | Gangtok Sikkim, India | 19.9 | |
| 189 | Shivamogga Karnataka, India | 19.8 | |
| 189 | Yaoundé low-cost sensors Centre, Cameroon | 19.8 | |
| 189 | Live Oak Texas, United States | 19.8 | |
| 189 | San Antonio Texas, United States | 19.8 | |
| 193 | Calexico California, United States | 19.7 | |
| 194 | Jalor Rajasthan, India | 19.6 | |
| 194 | Shin’ichi Hiroshima, Japan | 19.6 | |
| 194 | Tehuacán Puebla, Mexico | 19.6 | |
| 194 | Saginaw Texas, United States | 19.6 | |
| 198 | Valletta Valletta, Malta | 19.5 | |
| 198 | Denton Texas, United States | 19.5 | |
| 198 | Taylor Texas, United States | 19.5 |
Top 200 of 2,241 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