SmogRank / History / June 18, 2026
Most polluted cities on June 18, 2026
2,320 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Joda Odisha, India | 148.0 | |
| 2 | Kharghar Maharashtra, India | 132.0 | |
| 3 | Faridabad Haryana, India | 95.1 | |
| 4 | Lilongwe low-cost sensors Central Region, Malawi | 78.6 | |
| 5 | Bahadurgarh Haryana, India | 76.0 | |
| 6 | Hājīpur Bihar, India | 70.3 | |
| 7 | Hāpur Uttar Pradesh, India | 69.4 | |
| 8 | Bhilai Chhattisgarh, India | 68.2 | |
| 9 | Muzaffarnagar Uttar Pradesh, India | 67.9 | |
| 10 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 67.5 | |
| 11 | Noida Uttar Pradesh, India | 66.2 | |
| 12 | Gummidipundi Tamil Nadu, India | 63.9 | |
| 13 | Bhiwadi Rajasthan, India | 62.5 | |
| 14 | Baddi Himachal Pradesh, India | 61.4 | |
| 15 | Narela Delhi, India | 58.9 | |
| 16 | Thānesar Haryana, India | 58.2 | |
| 17 | Kampala low-cost sensors Central Region, Uganda | 57.3 | |
| 18 | Chāpra Bihar, India | 57.0 | |
| 19 | Yamuna Nagar Haryana, India | 56.6 | |
| 20 | Karnāl Haryana, India | 55.4 | |
| 21 | Lucknow Uttar Pradesh, India | 54.9 | |
| 22 | Dādri Uttar Pradesh, India | 54.7 | |
| 23 | Delhi Delhi, India | 53.1 | |
| 24 | Bāghpat Uttar Pradesh, India | 52.6 | |
| 25 | Dhāruhera Haryana, India | 49.6 | |
| 26 | Jīnd Haryana, India | 49.5 | |
| 27 | Bhiwāni Haryana, India | 49.1 | |
| 27 | Aguascalientes Aguascalientes, Mexico | 49.1 | |
| 29 | Ghāziābād Uttar Pradesh, India | 46.4 | |
| 30 | Najafgarh Delhi, India | 46.0 | |
| 31 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 45.8 | |
| 32 | Kanpur Uttar Pradesh, India | 45.3 | |
| 32 | Jammu low-cost sensors Jammu and Kashmir, India | 45.3 | |
| 34 | Morādābād Uttar Pradesh, India | 45.1 | |
| 35 | Meerut Uttar Pradesh, India | 44.2 | |
| 36 | Jharia Jharkhand, India | 43.9 | |
| 37 | Agra Uttar Pradesh, India | 43.5 | |
| 38 | Rasapūdipalem Andhra Pradesh, India | 42.9 | |
| 39 | Kaithal Haryana, India | 42.3 | |
| 40 | Sīkar Rajasthan, India | 41.9 | |
| 41 | Badlapur Maharashtra, India | 41.7 | |
| 42 | Rourkela Odisha, India | 41.3 | |
| 43 | Begusarai Bihar, India | 40.7 | |
| 44 | Ajmer Rajasthan, India | 40.6 | |
| 45 | Lahore low-cost sensors Punjab, Pakistan | 40.2 | |
| 46 | Bhelai Chhattisgarh, India | 39.3 | |
| 47 | Gaya Bihar, India | 39.2 | |
| 47 | Barbil Odisha, India | 39.2 | |
| 49 | Nagaon Assam, India | 38.5 | |
| 50 | Ibadan low-cost sensors Oyo State, Nigeria | 38.1 | |
| 51 | Chittoor Andhra Pradesh, India | 37.9 | |
| 52 | Saharsa Bihar, India | 37.1 | |
| 53 | Sialkot low-cost sensors Punjab, Pakistan | 37.0 | |
| 53 | Jabalpur Madhya Pradesh, India | 37.0 | |
| 55 | Gujranwala low-cost sensors Punjab, Pakistan | 36.6 | |
| 56 | Undera Gujarat, India | 36.5 | |
| 57 | Sirsa Haryana, India | 36.3 | |
| 57 | Byasanagar Odisha, India | 36.3 | |
| 59 | Chandigarh Chandigarh, India | 36.2 | |
| 60 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 35.8 | |
| 61 | Kalyān Maharashtra, India | 35.7 | |
| 62 | Patiāla Punjab, India | 34.9 | |
| 63 | Nagpur Maharashtra, India | 34.7 | |
| 64 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 34.2 | |
| 65 | Faisalabad low-cost sensors Punjab, Pakistan | 34.0 | |
| 65 | Changchun low-cost sensors Jilin, China | 34.0 | |
| 67 | Kathmandu low-cost sensors Bagmati Province, Nepal | 33.8 | |
| 68 | Arāria Bihar, India | 33.7 | |
| 69 | Baripāda Odisha, India | 33.4 | |
| 70 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 33.3 | |
| 70 | Vijayawada Andhra Pradesh, India | 33.3 | |
| 70 | Rājgīr Bihar, India | 33.3 | |
| 73 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 33.1 | |
| 74 | Aya Nagar Delhi, India | 32.7 | |
| 75 | Saugor Madhya Pradesh, India | 32.1 | |
| 76 | Bhiwandi Maharashtra, India | 31.9 | |
| 76 | Lagos low-cost sensors Lagos, Nigeria | 31.9 | |
| 78 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 31.8 | |
| 79 | Tirupati Andhra Pradesh, India | 31.7 | |
| 80 | Bhāgalpur Bihar, India | 31.2 | |
| 81 | Patna Bihar, India | 31.1 | |
| 82 | Karonga low-cost sensors Northern Region, Malawi | 30.7 | |
| 82 | Rawalpindi low-cost sensors Punjab, Pakistan | 30.7 | |
| 84 | Dubai low-cost sensors Dubai, United Arab Emirates | 30.3 | |
| 85 | Rangiora Canterbury, New Zealand | 29.9 | |
| 86 | Sonīpat Haryana, India | 29.8 | |
| 87 | Kadapa Andhra Pradesh, India | 29.5 | |
| 87 | Wadgaon Kolhati Maharashtra, India | 29.5 | |
| 89 | Durgapur West Bengal, India | 29.4 | |
| 90 | Buxar Bihar, India | 29.3 | |
| 91 | Keonjhargarh Odisha, India | 28.5 | |
| 92 | Gwalior Madhya Pradesh, India | 28.2 | |
| 93 | Shrīrāmpur West Bengal, India | 28.1 | |
| 94 | Blantyre low-cost sensors Southern Region, Malawi | 27.8 | |
| 94 | Rairangpur Odisha, India | 27.8 | |
| 96 | Sri Ganganagar Rajasthan, India | 27.7 | |
| 96 | Akola Maharashtra, India | 27.7 | |
| 98 | Kotli Loharan low-cost sensors Punjab, Pakistan | 27.3 | |
| 98 | Tonk Rajasthan, India | 27.3 | |
| 100 | Bareilly Uttar Pradesh, India | 27.2 | |
| 101 | Corpus Christi Texas, United States | 26.7 | |
| 102 | Cuttack Odisha, India | 26.6 | |
| 103 | Ankleshwar Gujarat, India | 26.4 | |
| 104 | Phuntsholing low-cost sensors Chukha, Bhutan | 26.3 | |
| 105 | Sholapur Maharashtra, India | 26.2 | |
| 105 | Bārān Rajasthan, India | 26.2 | |
| 105 | Quezon City low-cost sensors National Capital Region, Philippines | 26.2 | |
| 108 | Ashaiman low-cost sensors Greater Accra, Ghana | 25.6 | |
| 109 | Bhubaneswar Odisha, India | 25.5 | |
| 110 | Thāne Maharashtra, India | 25.4 | |
| 110 | Āsansol West Bengal, India | 25.4 | |
| 112 | Rānīganj West Bengal, India | 25.3 | |
| 112 | Santa Anita - Los Ficus Lima region, Peru | 25.3 | |
| 114 | Kolkata West Bengal, India | 25.2 | |
| 115 | Tirumala Andhra Pradesh, India | 24.8 | |
| 115 | Dausa Rajasthan, India | 24.8 | |
| 115 | Billings Montana, United States | 24.8 | |
| 118 | Chennai Tamil Nadu, India | 24.7 | |
| 118 | Coimbatore Tamil Nadu, India | 24.7 | |
| 120 | Hyderabad Telangana, India | 24.6 | |
| 121 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 24.4 | |
| 122 | Hyderabad low-cost sensors Sindh, Pakistan | 24.1 | |
| 123 | Guwahati Assam, India | 23.9 | |
| 123 | Christchurch Canterbury, New Zealand | 23.9 | |
| 123 | Redmond low-cost sensors Washington, United States | 23.9 | |
| 126 | Jaipur Rajasthan, India | 23.8 | |
| 127 | Socorro Texas, United States | 23.7 | |
| 127 | Quthbullapur Telangana, India | 23.7 | |
| 129 | Istanbul low-cost sensors Istanbul, Turkey | 23.6 | |
| 130 | Jalandhar Punjab, India | 23.5 | |
| 130 | Aurangabad Maharashtra, India | 23.5 | |
| 132 | Shivamogga Karnataka, India | 23.3 | |
| 132 | Baytown Texas, United States | 23.3 | |
| 134 | Karachi low-cost sensors Sindh, Pakistan | 23.1 | |
| 135 | Naucalpan de Juárez México, Mexico | 23.0 | |
| 136 | Quetta low-cost sensors Balochistan, Pakistan | 22.6 | |
| 136 | Dhaulpur Rajasthan, India | 22.6 | |
| 138 | Murree low-cost sensors Punjab, Pakistan | 22.5 | |
| 139 | Zomba low-cost sensors Southern Region, Malawi | 22.2 | |
| 139 | Lima Lima Province, Peru | 22.2 | |
| 141 | Closepet Karnataka, India | 22.1 | |
| 142 | Boisar Maharashtra, India | 22.0 | |
| 142 | Ahmedabad Gujarat, India | 22.0 | |
| 144 | Mérida Yucatán, Mexico | 21.8 | |
| 145 | Bhopal Madhya Pradesh, India | 21.7 | |
| 145 | Mexico City Mexico City, Mexico | 21.7 | |
| 147 | Laredo Texas, United States | 21.6 | |
| 147 | Calexico California, United States | 21.6 | |
| 147 | Neelankarai Tamil Nadu, India | 21.6 | |
| 150 | Bānswāra Rajasthan, India | 21.5 | |
| 151 | Mohali Punjab, India | 21.4 | |
| 152 | Naharlagun Arunachal Pradesh, India | 21.3 | |
| 153 | Bahawalpur low-cost sensors Punjab, Pakistan | 21.2 | |
| 153 | Tema low-cost sensors Greater Accra, Ghana | 21.2 | |
| 155 | Jaisalmer Rajasthan, India | 21.0 | |
| 156 | Edinburg Texas, United States | 20.7 | |
| 156 | Port Arthur Texas, United States | 20.7 | |
| 158 | Mission Texas, United States | 20.4 | |
| 159 | Chittorgarh Rajasthan, India | 20.2 | |
| 159 | Iloilo low-cost sensors Western Visayas, Philippines | 20.2 | |
| 159 | Timaru Canterbury, New Zealand | 20.2 | |
| 162 | Pasadena Texas, United States | 20.1 | |
| 163 | Nilópolis Rio de Janeiro, Brazil | 20.0 | |
| 164 | Latur Maharashtra, India | 19.9 | |
| 165 | Silchar Assam, India | 19.7 | |
| 166 | Angul Odisha, India | 19.5 | |
| 166 | Brownsville Texas, United States | 19.5 | |
| 168 | Mzuzu low-cost sensors Northern Region, Malawi | 19.4 | |
| 169 | Alcalá de Guadaira Andalusia, Spain | 19.3 | |
| 170 | Laudio / Llodio Basque Country, Spain | 19.2 | |
| 170 | Deer Park Texas, United States | 19.2 | |
| 172 | Houston Texas, United States | 19.1 | |
| 172 | San Antonio Texas, United States | 19.1 | |
| 174 | Pune Maharashtra, India | 18.8 | |
| 174 | Jalor Rajasthan, India | 18.8 | |
| 174 | La Porte Texas, United States | 18.8 | |
| 177 | Baku Baki, Azerbaijan | 18.7 | |
| 177 | Bhilwara Rajasthan, India | 18.7 | |
| 177 | Tulancingo Hidalgo, Mexico | 18.7 | |
| 180 | Amravati Maharashtra, India | 18.6 | |
| 180 | La Providencia Siglo XXI Hidalgo, Mexico | 18.6 | |
| 182 | Gorzów Wielkopolski Lubusz, Poland | 18.5 | |
| 183 | Tumkūr Karnataka, India | 18.4 | |
| 183 | Nāgaur Rajasthan, India | 18.4 | |
| 183 | Mission Bend Texas, United States | 18.4 | |
| 186 | Islamabad low-cost sensors Islamabad, Pakistan | 18.3 | |
| 186 | Prayagraj Uttar Pradesh, India | 18.3 | |
| 186 | Live Oak Texas, United States | 18.3 | |
| 189 | Vijayapura Karnataka, India | 18.2 | |
| 190 | Missouri City Texas, United States | 18.1 | |
| 191 | Kolhāpur Maharashtra, India | 18.0 | |
| 191 | Bikaner Rajasthan, India | 18.0 | |
| 191 | Haldia West Bengal, India | 18.0 | |
| 194 | Austin Texas, United States | 17.9 | |
| 195 | Brescia Lombardy, Italy | 17.7 | |
| 196 | Raipur Chhattisgarh, India | 17.5 | |
| 196 | Kota Rajasthan, India | 17.5 | |
| 196 | Kalisz Greater Poland, Poland | 17.5 | |
| 196 | Rovereto Trentino-Alto Adige, Italy | 17.5 | |
| 196 | Nichelino Piedmont, Italy | 17.5 |
Top 200 of 2,320 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