SmogRank / History / May 8, 2026
Most polluted cities on May 8, 2026
2,286 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Kadapa Andhra Pradesh, India | 803.0 | |
| 2 | Virār Maharashtra, India | 215.0 | |
| 3 | Szeged Csongrád, Hungary | 157.0 | |
| 4 | Faisalabad low-cost sensors Punjab, Pakistan | 97.0 | |
| 5 | Panvel Maharashtra, India | 86.3 | |
| 6 | Gujranwala low-cost sensors Punjab, Pakistan | 79.8 | |
| 7 | Dera Māndi Delhi, India | 78.5 | |
| 8 | Murree low-cost sensors Punjab, Pakistan | 75.8 | |
| 9 | Multan low-cost sensors Punjab, Pakistan | 73.1 | |
| 10 | Islamabad low-cost sensors Islamabad, Pakistan | 72.2 | |
| 11 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 71.4 | |
| 12 | Karnāl Haryana, India | 67.9 | |
| 13 | Rawalpindi low-cost sensors Punjab, Pakistan | 67.4 | |
| 14 | Sialkot low-cost sensors Punjab, Pakistan | 66.5 | |
| 15 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 65.9 | |
| 16 | Bahawalpur low-cost sensors Punjab, Pakistan | 65.6 | |
| 16 | Gurugram Haryana, India | 65.6 | |
| 18 | Kotli Loharan low-cost sensors Punjab, Pakistan | 64.7 | |
| 19 | Faridabad Haryana, India | 61.9 | |
| 20 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 61.8 | |
| 21 | Jammu low-cost sensors Jammu and Kashmir, India | 61.5 | |
| 22 | Undera Gujarat, India | 60.1 | |
| 23 | Hanumāngarh Rajasthan, India | 59.7 | |
| 24 | Bahadurgarh Haryana, India | 59.6 | |
| 25 | Karauli Rajasthan, India | 57.9 | |
| 26 | Lahore low-cost sensors Punjab, Pakistan | 57.6 | |
| 27 | Kalyān Maharashtra, India | 54.8 | |
| 28 | Singrauli Madhya Pradesh, India | 54.4 | |
| 29 | Hājīpur Bihar, India | 54.1 | |
| 30 | Lucknow Uttar Pradesh, India | 54.0 | |
| 31 | Narela Delhi, India | 53.6 | |
| 32 | San Luis Potosí San Luis Potosí, Mexico | 52.8 | |
| 33 | Jalgaon Maharashtra, India | 51.3 | |
| 34 | Bānswāra Rajasthan, India | 50.3 | |
| 34 | Agra Uttar Pradesh, India | 50.3 | |
| 36 | Pimpri-Chinchwad Maharashtra, India | 49.5 | |
| 37 | Gummidipundi Tamil Nadu, India | 49.3 | |
| 38 | Baddi Himachal Pradesh, India | 49.0 | |
| 39 | Yamuna Nagar Haryana, India | 48.9 | |
| 40 | Nagpur Maharashtra, India | 48.6 | |
| 41 | Ambāla Haryana, India | 48.4 | |
| 42 | Hacienda Santa Fe Jalisco, Mexico | 48.3 | |
| 43 | Dhāruhera Haryana, India | 48.1 | |
| 44 | Kampala low-cost sensors Central Region, Uganda | 47.8 | |
| 45 | Kaithal Haryana, India | 47.4 | |
| 46 | Dausa Rajasthan, India | 45.7 | |
| 47 | Jalandhar Punjab, India | 45.4 | |
| 48 | Noida Uttar Pradesh, India | 45.2 | |
| 49 | Muzaffarnagar Uttar Pradesh, India | 44.7 | |
| 50 | Jīnd Haryana, India | 44.2 | |
| 51 | Jaipur Rajasthan, India | 44.1 | |
| 52 | Bāghpat Uttar Pradesh, India | 44.0 | |
| 53 | Sholapur Maharashtra, India | 43.8 | |
| 54 | Bhiwadi Rajasthan, India | 43.7 | |
| 55 | Ahmedabad Gujarat, India | 43.6 | |
| 56 | Agartala Tripura, India | 43.5 | |
| 57 | Ghāziābād Uttar Pradesh, India | 41.8 | |
| 58 | Begusarai Bihar, India | 41.6 | |
| 59 | Dādri Uttar Pradesh, India | 41.3 | |
| 60 | San Pedro Sula low-cost sensors Cortés Department, Honduras | 41.1 | |
| 61 | Chānda Maharashtra, India | 40.5 | |
| 62 | Joda Odisha, India | 40.3 | |
| 63 | Tlaquepaque Jalisco, Mexico | 39.4 | |
| 64 | Púchov Trenčín Region, Slovakia | 38.5 | |
| 65 | Vijayawada Andhra Pradesh, India | 38.3 | |
| 66 | Bhiwandi Maharashtra, India | 37.9 | |
| 67 | Meerut Uttar Pradesh, India | 37.8 | |
| 68 | Bhāgalpur Bihar, India | 37.7 | |
| 69 | Nagaon Assam, India | 37.3 | |
| 69 | Lagos low-cost sensors Lagos, Nigeria | 37.3 | |
| 71 | Delhi Delhi, India | 37.0 | |
| 71 | Valletta Valletta, Malta | 37.0 | |
| 73 | Anantapur Andhra Pradesh, India | 36.1 | |
| 74 | Dubai low-cost sensors Dubai, United Arab Emirates | 35.8 | |
| 74 | Mosta Il-Mosta, Malta | 35.8 | |
| 76 | Aya Nagar Delhi, India | 35.6 | |
| 77 | Hyderabad Telangana, India | 35.5 | |
| 77 | Panchkula Haryana, India | 35.5 | |
| 79 | Thāne Maharashtra, India | 35.3 | |
| 79 | Bhelai Chhattisgarh, India | 35.3 | |
| 81 | Pune Maharashtra, India | 35.2 | |
| 82 | Rājgīr Bihar, India | 34.7 | |
| 82 | Ajmer Rajasthan, India | 34.7 | |
| 84 | Żabbar Ħaż-Żabbar, Malta | 34.6 | |
| 85 | Nashik Maharashtra, India | 34.3 | |
| 86 | Aurangabad Maharashtra, India | 33.8 | |
| 87 | Bhiwāni Haryana, India | 33.7 | |
| 88 | Thānesar Haryana, India | 33.6 | |
| 89 | Mahād Maharashtra, India | 33.2 | |
| 89 | San Pawl il-Baħar Saint Paul’s Bay, Malta | 33.2 | |
| 91 | Dhule Maharashtra, India | 33.0 | |
| 92 | Lilongwe low-cost sensors Central Region, Malawi | 32.9 | |
| 93 | San Luis de la Paz Guanajuato, Mexico | 32.7 | |
| 93 | Guadalajara Jalisco, Mexico | 32.7 | |
| 95 | Surat Gujarat, India | 32.6 | |
| 96 | Palembang low-cost sensors South Sumatra, Indonesia | 32.5 | |
| 97 | Indore Madhya Pradesh, India | 32.3 | |
| 98 | Akola Maharashtra, India | 32.2 | |
| 98 | Morelia Michoacán, Mexico | 32.2 | |
| 100 | Durgapur West Bengal, India | 32.1 | |
| 101 | Gandhinagar Gujarat, India | 32.0 | |
| 102 | Sri Ganganagar Rajasthan, India | 31.7 | |
| 103 | León de los Aldama Guanajuato, Mexico | 31.6 | |
| 104 | Gwalior Madhya Pradesh, India | 31.5 | |
| 105 | Patna Bihar, India | 31.0 | |
| 105 | Buxar Bihar, India | 31.0 | |
| 107 | Shrīrāmpur West Bengal, India | 30.9 | |
| 107 | Puebla Puebla, Mexico | 30.9 | |
| 109 | Najafgarh Delhi, India | 30.8 | |
| 110 | Dūngarpur Rajasthan, India | 30.7 | |
| 111 | Chittorgarh Rajasthan, India | 30.6 | |
| 111 | Naucalpan de Juárez México, Mexico | 30.6 | |
| 113 | Vapi Gujarat, India | 30.5 | |
| 114 | Sāngli Maharashtra, India | 30.4 | |
| 114 | Nāgaur Rajasthan, India | 30.4 | |
| 114 | Kolkata West Bengal, India | 30.4 | |
| 114 | Badlapur Maharashtra, India | 30.4 | |
| 114 | Tulancingo Hidalgo, Mexico | 30.4 | |
| 119 | Zomba low-cost sensors Southern Region, Malawi | 30.0 | |
| 119 | Mixquiahuala de Juárez Hidalgo, Mexico | 30.0 | |
| 121 | Uttaradit low-cost sensors Uttaradit, Thailand | 29.8 | |
| 122 | Bikaner Rajasthan, India | 29.6 | |
| 123 | Wadgaon Kolhati Maharashtra, India | 29.3 | |
| 124 | Parbhani Maharashtra, India | 28.7 | |
| 125 | Hyderabad low-cost sensors Sindh, Pakistan | 28.6 | |
| 125 | Guanajuato Guanajuato, Mexico | 28.6 | |
| 127 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 28.2 | |
| 128 | Kolhāpur Maharashtra, India | 28.1 | |
| 128 | Jharia Jharkhand, India | 28.1 | |
| 128 | Guwahati Assam, India | 28.1 | |
| 128 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 28.1 | |
| 132 | Pratāpgarh Rajasthan, India | 27.8 | |
| 132 | Ahilyanagar Maharashtra, India | 27.8 | |
| 132 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 27.8 | |
| 132 | Apizaco Tlaxcala, Mexico | 27.8 | |
| 136 | Irapuato Guanajuato, Mexico | 27.6 | |
| 137 | Tehuacán Puebla, Mexico | 27.3 | |
| 138 | Karachi low-cost sensors Sindh, Pakistan | 27.0 | |
| 138 | Bhopal Madhya Pradesh, India | 27.0 | |
| 138 | Amravati Maharashtra, India | 27.0 | |
| 138 | Santa Anita Jalisco, Mexico | 27.0 | |
| 142 | Sonīpat Haryana, India | 26.8 | |
| 143 | Chūru Rajasthan, India | 26.7 | |
| 143 | Celaya Guanajuato, Mexico | 26.7 | |
| 145 | Ciudad Nezahualcoyotl México, Mexico | 26.6 | |
| 146 | Morādābād Uttar Pradesh, India | 26.4 | |
| 146 | Keonjhargarh Odisha, India | 26.4 | |
| 146 | Bhilwara Rajasthan, India | 26.4 | |
| 149 | Tonk Rajasthan, India | 26.3 | |
| 149 | Kanpur Uttar Pradesh, India | 26.3 | |
| 149 | Jhunjhunūn Rajasthan, India | 26.3 | |
| 149 | Mumbai Maharashtra, India | 26.3 | |
| 153 | Rourkela Odisha, India | 26.2 | |
| 154 | Quezon City low-cost sensors National Capital Region, Philippines | 25.9 | |
| 154 | Santiago de Querétaro Querétaro, Mexico | 25.9 | |
| 156 | Beirut low-cost sensors Beirut, Lebanon | 25.6 | |
| 156 | Zapopan Jalisco, Mexico | 25.6 | |
| 158 | Jounieh low-cost sensors Mount Lebanon, Lebanon | 25.4 | |
| 158 | Naharlagun Arunachal Pradesh, India | 25.4 | |
| 160 | Kota Rajasthan, India | 25.2 | |
| 161 | Nanded Maharashtra, India | 25.1 | |
| 162 | Sai Mai low-cost sensors Bangkok, Thailand | 25.0 | |
| 163 | Būndi Rajasthan, India | 24.9 | |
| 163 | La Providencia Siglo XXI Hidalgo, Mexico | 24.9 | |
| 165 | Pasadena low-cost sensors California, United States | 24.7 | |
| 166 | Boisar Maharashtra, India | 24.6 | |
| 167 | Sidon low-cost sensors South Governorate, Lebanon | 24.5 | |
| 168 | Aguascalientes Aguascalientes, Mexico | 24.4 | |
| 169 | Arāria Bihar, India | 24.3 | |
| 170 | Mexico City Mexico City, Mexico | 24.2 | |
| 170 | Saltillo Coahuila, Mexico | 24.2 | |
| 172 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 23.7 | |
| 172 | Shivamogga Karnataka, India | 23.7 | |
| 174 | Laredo Texas, United States | 23.5 | |
| 174 | Santa Anita - Los Ficus Lima region, Peru | 23.5 | |
| 176 | Pachuca de Soto Hidalgo, Mexico | 23.4 | |
| 177 | Latur Maharashtra, India | 23.3 | |
| 177 | Tula de Allende Hidalgo, Mexico | 23.3 | |
| 179 | Coimbatore Tamil Nadu, India | 23.2 | |
| 179 | Changchun low-cost sensors Jilin, China | 23.2 | |
| 181 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 23.1 | |
| 182 | Belagavi Karnataka, India | 23.0 | |
| 182 | Tlaxcala Tlaxcala, Mexico | 23.0 | |
| 182 | San Miguel de Allende Guanajuato, Mexico | 23.0 | |
| 185 | Tetovo Tetovo, North Macedonia | 22.9 | |
| 186 | Wan Chai Wan Chai, Hong Kong | 22.8 | |
| 187 | Arrah Bihar, India | 22.6 | |
| 188 | Bangkok low-cost sensors Bangkok, Thailand | 22.5 | |
| 189 | Bhayandar Maharashtra, India | 22.4 | |
| 189 | Prayagraj Uttar Pradesh, India | 22.4 | |
| 189 | Zacatepec de Hidalgo Morelos, Mexico | 22.4 | |
| 192 | Santa Monica low-cost sensors California, United States | 22.3 | |
| 193 | San Juan del Río Querétaro, Mexico | 22.1 | |
| 194 | Istanbul low-cost sensors Istanbul, Turkey | 22.0 | |
| 195 | Bharatpur Rajasthan, India | 21.7 | |
| 195 | Lima Lima Province, Peru | 21.7 | |
| 197 | Calais Hauts-de-France, France | 21.6 | |
| 198 | Erlun Taiwan, Taiwan | 21.4 | |
| 199 | Ibadan low-cost sensors Oyo State, Nigeria | 21.3 | |
| 200 | Ashaiman low-cost sensors Greater Accra, Ghana | 21.2 |
Top 200 of 2,286 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