SmogRank / History / June 4, 2026
Most polluted cities on June 4, 2026
2,354 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Jīnd Haryana, India | 97.1 | |
| 2 | Dhāruhera Haryana, India | 90.1 | |
| 3 | Hājīpur Bihar, India | 88.9 | |
| 4 | Karnāl Haryana, India | 85.5 | |
| 5 | Bhiwāni Haryana, India | 83.5 | |
| 6 | Kaithal Haryana, India | 78.0 | |
| 7 | Bhiwadi Rajasthan, India | 75.8 | |
| 8 | Faridabad Haryana, India | 75.4 | |
| 9 | Narela Delhi, India | 74.5 | |
| 10 | Jhunjhunūn Rajasthan, India | 73.5 | |
| 11 | Noida Uttar Pradesh, India | 71.7 | |
| 12 | Dādri Uttar Pradesh, India | 70.2 | |
| 13 | Bāghpat Uttar Pradesh, India | 69.0 | |
| 14 | Sirsa Haryana, India | 68.6 | |
| 15 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 67.7 | |
| 16 | Saharsa Bihar, India | 65.9 | |
| 17 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 65.1 | |
| 18 | Aguascalientes Aguascalientes, Mexico | 63.5 | |
| 19 | Muzaffarnagar Uttar Pradesh, India | 63.3 | |
| 20 | Bahadurgarh Haryana, India | 62.5 | |
| 21 | Thānesar Haryana, India | 62.0 | |
| 22 | Chāpra Bihar, India | 61.5 | |
| 23 | Sonīpat Haryana, India | 61.1 | |
| 24 | Ambāla Haryana, India | 60.5 | |
| 25 | Begusarai Bihar, India | 59.4 | |
| 25 | Singrauli Madhya Pradesh, India | 59.4 | |
| 27 | Jalandhar Punjab, India | 55.2 | |
| 27 | Hāpur Uttar Pradesh, India | 55.2 | |
| 29 | Ghāziābād Uttar Pradesh, India | 54.8 | |
| 30 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 54.6 | |
| 31 | Gujranwala low-cost sensors Punjab, Pakistan | 54.5 | |
| 32 | Vapi Gujarat, India | 53.6 | |
| 33 | Greater Noida Uttar Pradesh, India | 52.9 | |
| 34 | Chūru Rajasthan, India | 52.7 | |
| 35 | Delhi Delhi, India | 52.3 | |
| 36 | Angul Odisha, India | 51.2 | |
| 37 | Jaipur Rajasthan, India | 50.9 | |
| 38 | Kampala low-cost sensors Central Region, Uganda | 50.6 | |
| 39 | Gummidipundi Tamil Nadu, India | 50.2 | |
| 40 | Palembang low-cost sensors South Sumatra, Indonesia | 50.1 | |
| 41 | Patna Bihar, India | 49.3 | |
| 42 | Panchkula Haryana, India | 46.9 | |
| 43 | Dhaulpur Rajasthan, India | 46.8 | |
| 44 | Santa Anita - Los Ficus Lima region, Peru | 45.4 | |
| 45 | Meerut Uttar Pradesh, India | 44.8 | |
| 46 | Lucknow Uttar Pradesh, India | 44.7 | |
| 47 | Morādābād Uttar Pradesh, India | 44.6 | |
| 48 | Tuxtla Chiapas, Mexico | 44.5 | |
| 49 | Baddi Himachal Pradesh, India | 43.1 | |
| 50 | Dushanbe Dushanbe, Tajikistan | 42.5 | |
| 51 | Kanpur Uttar Pradesh, India | 41.6 | |
| 52 | Najafgarh Delhi, India | 41.5 | |
| 53 | Vijayawada Andhra Pradesh, India | 41.4 | |
| 54 | Gaya Bihar, India | 41.3 | |
| 55 | Faisalabad low-cost sensors Punjab, Pakistan | 41.2 | |
| 56 | Vereeniging low-cost sensors Gauteng, South Africa | 41.0 | |
| 56 | Phuntsholing low-cost sensors Chukha, Bhutan | 41.0 | |
| 58 | Ropar Punjab, India | 40.5 | |
| 59 | Aya Nagar Delhi, India | 39.9 | |
| 60 | Bānswāra Rajasthan, India | 39.8 | |
| 61 | Barbil Odisha, India | 39.7 | |
| 62 | Yamuna Nagar Haryana, India | 39.4 | |
| 62 | Thāne Maharashtra, India | 39.4 | |
| 64 | Rājgīr Bihar, India | 39.3 | |
| 65 | Rasapūdipalem Andhra Pradesh, India | 39.1 | |
| 66 | Chittoor Andhra Pradesh, India | 38.7 | |
| 67 | Rourkela Odisha, India | 38.6 | |
| 67 | Callao Callao, Peru | 38.6 | |
| 67 | Undera Gujarat, India | 38.6 | |
| 70 | Lilongwe low-cost sensors Central Region, Malawi | 38.5 | |
| 71 | Chittorgarh Rajasthan, India | 38.2 | |
| 72 | Agra Uttar Pradesh, India | 37.9 | |
| 72 | Byasanagar Odisha, India | 37.9 | |
| 74 | Nandri Rajasthan, India | 37.5 | |
| 75 | Lahore low-cost sensors Punjab, Pakistan | 37.4 | |
| 76 | Buxar Bihar, India | 37.0 | |
| 77 | Keonjhargarh Odisha, India | 36.9 | |
| 78 | Kolkata West Bengal, India | 36.5 | |
| 79 | Durgapur West Bengal, India | 36.2 | |
| 80 | San Francisco De Borja Lima region, Peru | 35.6 | |
| 81 | Sialkot low-cost sensors Punjab, Pakistan | 35.3 | |
| 81 | Bhāgalpur Bihar, India | 35.3 | |
| 83 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 35.2 | |
| 83 | Sri Ganganagar Rajasthan, India | 35.2 | |
| 83 | Lima Lima Province, Peru | 35.2 | |
| 86 | Jammu low-cost sensors Jammu and Kashmir, India | 34.8 | |
| 87 | Kathmandu low-cost sensors Bagmati Province, Nepal | 34.7 | |
| 88 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 34.6 | |
| 89 | Ibadan low-cost sensors Oyo State, Nigeria | 33.8 | |
| 90 | Badlapur Maharashtra, India | 33.7 | |
| 91 | Arāria Bihar, India | 33.3 | |
| 92 | Uttaradit low-cost sensors Uttaradit, Thailand | 33.0 | |
| 93 | Hyderabad Telangana, India | 32.8 | |
| 93 | Ajmer Rajasthan, India | 32.8 | |
| 95 | Rājsamand Rajasthan, India | 32.6 | |
| 96 | Shrīrāmpur West Bengal, India | 32.4 | |
| 97 | Jalgaon Maharashtra, India | 31.9 | |
| 98 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 31.7 | |
| 99 | Karonga low-cost sensors Northern Region, Malawi | 31.5 | |
| 99 | Jaisalmer Rajasthan, India | 31.5 | |
| 101 | Nagpur Maharashtra, India | 31.3 | |
| 101 | Quthbullapur Telangana, India | 31.3 | |
| 103 | Haldia West Bengal, India | 31.1 | |
| 104 | Nagaon Assam, India | 30.8 | |
| 104 | Rairangpur Odisha, India | 30.8 | |
| 104 | Bhiwandi Maharashtra, India | 30.8 | |
| 107 | Chandigarh Chandigarh, India | 30.4 | |
| 108 | Changchun low-cost sensors Jilin, China | 30.2 | |
| 109 | Nāgaur Rajasthan, India | 29.9 | |
| 110 | Las Cruces New Mexico, United States | 29.6 | |
| 111 | Patiāla Punjab, India | 29.3 | |
| 111 | Jodhpur Rajasthan, India | 29.3 | |
| 113 | Akola Maharashtra, India | 29.2 | |
| 113 | Wadgaon Kolhati Maharashtra, India | 29.2 | |
| 115 | Singapore low-cost sensors Singapore | 28.8 | |
| 116 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 28.3 | |
| 116 | Bhilwara Rajasthan, India | 28.3 | |
| 118 | Sīkar Rajasthan, India | 28.0 | |
| 119 | Rawalpindi low-cost sensors Punjab, Pakistan | 27.7 | |
| 120 | Anantapur Andhra Pradesh, India | 27.5 | |
| 121 | Kadapa Andhra Pradesh, India | 27.4 | |
| 122 | Dubai low-cost sensors Dubai, United Arab Emirates | 27.3 | |
| 122 | Hyderabad low-cost sensors Sindh, Pakistan | 27.3 | |
| 124 | Āsansol West Bengal, India | 27.0 | |
| 125 | Karauli Rajasthan, India | 26.8 | |
| 126 | Dūngarpur Rajasthan, India | 26.5 | |
| 127 | Bārmer Rajasthan, India | 26.4 | |
| 128 | Karachi low-cost sensors Sindh, Pakistan | 26.3 | |
| 129 | Pratāpgarh Rajasthan, India | 26.1 | |
| 130 | Lagos low-cost sensors Lagos, Nigeria | 26.0 | |
| 131 | Istanbul low-cost sensors Istanbul, Turkey | 25.9 | |
| 132 | Arrah Bihar, India | 25.8 | |
| 133 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 25.7 | |
| 134 | Bareilly Uttar Pradesh, India | 25.6 | |
| 135 | Multan low-cost sensors Punjab, Pakistan | 25.4 | |
| 136 | Rānīganj West Bengal, India | 25.3 | |
| 137 | Boisar Maharashtra, India | 25.2 | |
| 138 | Jalor Rajasthan, India | 25.1 | |
| 138 | Gwalior Madhya Pradesh, India | 25.1 | |
| 138 | Nesttun Vestland, Norway | 25.1 | |
| 141 | Guwahati Assam, India | 25.0 | |
| 142 | Mérida Yucatán, Mexico | 24.9 | |
| 143 | Bettiah Bihar, India | 24.8 | |
| 144 | San Luis Potosí San Luis Potosí, Mexico | 24.5 | |
| 145 | Dhule Maharashtra, India | 24.4 | |
| 146 | Aurangabad Maharashtra, India | 23.7 | |
| 147 | Saugor Madhya Pradesh, India | 23.3 | |
| 147 | Calexico California, United States | 23.3 | |
| 149 | Bhubaneswar Odisha, India | 23.2 | |
| 150 | Latur Maharashtra, India | 23.1 | |
| 150 | Bikaner Rajasthan, India | 23.1 | |
| 152 | Ahmedabad Gujarat, India | 23.0 | |
| 152 | Yellowknife low-cost sensors Northwest Territories, Canada | 23.0 | |
| 154 | Villa Poeta José Gálvez Barrenechea Lima region, Peru | 22.9 | |
| 155 | Kalyān Maharashtra, India | 22.8 | |
| 155 | Santa Monica low-cost sensors California, United States | 22.8 | |
| 157 | Raipur Chhattisgarh, India | 22.3 | |
| 158 | Amravati Maharashtra, India | 22.2 | |
| 159 | Amaravati Andhra Pradesh, India | 22.1 | |
| 160 | Parbhani Maharashtra, India | 21.9 | |
| 161 | Sirohi Rajasthan, India | 21.8 | |
| 162 | Pasadena low-cost sensors California, United States | 21.7 | |
| 163 | Mohali Punjab, India | 21.5 | |
| 164 | Hubballi Karnataka, India | 21.3 | |
| 164 | Ahilyanagar Maharashtra, India | 21.3 | |
| 166 | Jabalpur Madhya Pradesh, India | 21.2 | |
| 167 | Kota Rajasthan, India | 21.1 | |
| 168 | Shivamogga Karnataka, India | 21.0 | |
| 168 | Gandhinagar Gujarat, India | 21.0 | |
| 170 | Indore Madhya Pradesh, India | 20.9 | |
| 171 | Nashik Maharashtra, India | 20.4 | |
| 172 | Hacienda Santa Fe Jalisco, Mexico | 20.1 | |
| 173 | Blantyre low-cost sensors Southern Region, Malawi | 20.0 | |
| 174 | Tijuana Baja California, Mexico | 19.8 | |
| 174 | Neelankarai Tamil Nadu, India | 19.8 | |
| 176 | Superior Wisconsin, United States | 19.7 | |
| 177 | Cuttack Odisha, India | 19.4 | |
| 177 | Thiès low-cost sensors Thies, Senegal | 19.4 | |
| 179 | Gudalur Tamil Nadu, India | 19.2 | |
| 179 | Gangtok Sikkim, India | 19.2 | |
| 179 | Mixquiahuala de Juárez Hidalgo, Mexico | 19.2 | |
| 182 | Chennai Tamil Nadu, India | 18.9 | |
| 183 | Silchar Assam, India | 18.8 | |
| 184 | Bahawalpur low-cost sensors Punjab, Pakistan | 18.7 | |
| 184 | Tema low-cost sensors Greater Accra, Ghana | 18.7 | |
| 184 | Ashaiman low-cost sensors Greater Accra, Ghana | 18.7 | |
| 187 | Jurupa Valley California, United States | 18.6 | |
| 188 | Mexicali Baja California, Mexico | 18.5 | |
| 189 | Surat Gujarat, India | 18.4 | |
| 189 | Torrance low-cost sensors California, United States | 18.4 | |
| 191 | Tlaquepaque Jalisco, Mexico | 18.3 | |
| 192 | Zomba low-cost sensors Southern Region, Malawi | 18.1 | |
| 193 | El Paso Texas, United States | 18.0 | |
| 194 | Fontana California, United States | 17.9 | |
| 194 | Billings Montana, United States | 17.9 | |
| 196 | Nanded Maharashtra, India | 17.8 | |
| 196 | Vijayapura Karnataka, India | 17.8 | |
| 196 | Quezon City low-cost sensors National Capital Region, Philippines | 17.8 | |
| 199 | Hanumāngarh Rajasthan, India | 17.7 | |
| 200 | Madikeri Karnataka, India | 17.5 |
Top 200 of 2,354 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