SmogRank / History / April 27, 2026
Most polluted cities on April 27, 2026
2,285 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Gurugram Haryana, India | 135.0 | |
| 2 | Jīnd Haryana, India | 129.0 | |
| 3 | Narela Delhi, India | 126.0 | |
| 4 | Najafgarh Delhi, India | 104.0 | |
| 5 | Sonīpat Haryana, India | 102.0 | |
| 6 | Kaithal Haryana, India | 96.8 | |
| 7 | Yamuna Nagar Haryana, India | 92.0 | |
| 8 | Bahadurgarh Haryana, India | 91.7 | |
| 9 | Dhāruhera Haryana, India | 88.9 | |
| 10 | Hāpur Uttar Pradesh, India | 87.6 | |
| 11 | Bānswāra Rajasthan, India | 80.5 | |
| 12 | Delhi Delhi, India | 75.9 | |
| 13 | Faridabad Haryana, India | 75.7 | |
| 14 | Karnāl Haryana, India | 74.4 | |
| 15 | Lucknow Uttar Pradesh, India | 72.3 | |
| 16 | Hanumāngarh Rajasthan, India | 70.9 | |
| 17 | Ghāziābād Uttar Pradesh, India | 70.6 | |
| 18 | Sri Ganganagar Rajasthan, India | 70.3 | |
| 19 | Meerut Uttar Pradesh, India | 69.7 | |
| 20 | Muzaffarnagar Uttar Pradesh, India | 69.6 | |
| 21 | Bhiwadi Rajasthan, India | 69.5 | |
| 22 | Dādri Uttar Pradesh, India | 68.7 | |
| 23 | Panchkula Haryana, India | 67.2 | |
| 24 | Gummidipundi Tamil Nadu, India | 66.1 | |
| 25 | Jaipur Rajasthan, India | 65.3 | |
| 26 | Lahore low-cost sensors Punjab, Pakistan | 64.9 | |
| 27 | Faisalabad low-cost sensors Punjab, Pakistan | 63.9 | |
| 28 | Vapi Gujarat, India | 62.8 | |
| 29 | Tirupati Andhra Pradesh, India | 61.7 | |
| 30 | Aya Nagar Delhi, India | 61.3 | |
| 31 | Noida Uttar Pradesh, India | 60.5 | |
| 32 | Baddi Himachal Pradesh, India | 59.1 | |
| 33 | Kathmandu low-cost sensors Bagmati Province, Nepal | 59.0 | |
| 34 | Gwalior Madhya Pradesh, India | 58.8 | |
| 35 | Chūru Rajasthan, India | 58.3 | |
| 36 | Sholapur Maharashtra, India | 55.5 | |
| 37 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 55.0 | |
| 38 | Multan low-cost sensors Punjab, Pakistan | 54.6 | |
| 39 | Agra Uttar Pradesh, India | 54.2 | |
| 40 | Undera Gujarat, India | 53.2 | |
| 41 | Mahād Maharashtra, India | 53.1 | |
| 41 | Chānda Maharashtra, India | 53.1 | |
| 43 | Chāpra Bihar, India | 53.0 | |
| 44 | Nanded Maharashtra, India | 52.9 | |
| 45 | Nagpur Maharashtra, India | 52.7 | |
| 46 | Ambāla Haryana, India | 52.3 | |
| 47 | Kanpur Uttar Pradesh, India | 51.9 | |
| 48 | Kampala low-cost sensors Central Region, Uganda | 51.6 | |
| 49 | Latur Maharashtra, India | 51.2 | |
| 49 | Palembang low-cost sensors South Sumatra, Indonesia | 51.2 | |
| 51 | Gujranwala low-cost sensors Punjab, Pakistan | 50.5 | |
| 52 | Yadgir Karnataka, India | 50.3 | |
| 52 | Barbil Odisha, India | 50.3 | |
| 54 | Thānesar Haryana, India | 48.9 | |
| 55 | Greater Noida Uttar Pradesh, India | 48.1 | |
| 56 | Jalgaon Maharashtra, India | 47.9 | |
| 57 | Parbhani Maharashtra, India | 46.7 | |
| 58 | Bikaner Rajasthan, India | 46.3 | |
| 59 | Uttaradit low-cost sensors Uttaradit, Thailand | 45.6 | |
| 60 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 45.4 | |
| 61 | Karauli Rajasthan, India | 45.1 | |
| 62 | Keonjhargarh Odisha, India | 45.0 | |
| 63 | Jharia Jharkhand, India | 44.9 | |
| 63 | Anantapur Andhra Pradesh, India | 44.9 | |
| 65 | Angul Odisha, India | 43.7 | |
| 66 | Dausa Rajasthan, India | 43.6 | |
| 67 | Vijayawada Andhra Pradesh, India | 43.3 | |
| 67 | Jhunjhunūn Rajasthan, India | 43.3 | |
| 69 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 43.0 | |
| 69 | Dera Māndi Delhi, India | 43.0 | |
| 69 | Bārān Rajasthan, India | 43.0 | |
| 72 | Sialkot low-cost sensors Punjab, Pakistan | 42.9 | |
| 73 | Closepet Karnataka, India | 41.7 | |
| 74 | San Pedro Sula low-cost sensors Cortés Department, Honduras | 41.5 | |
| 75 | Dhaulpur Rajasthan, India | 41.4 | |
| 76 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 41.0 | |
| 77 | San Luis Potosí San Luis Potosí, Mexico | 40.3 | |
| 78 | Jammu low-cost sensors Jammu and Kashmir, India | 40.1 | |
| 78 | Ahilyanagar Maharashtra, India | 40.1 | |
| 78 | Kharghar Maharashtra, India | 40.1 | |
| 81 | Jalandhar Punjab, India | 39.9 | |
| 82 | Rawalpindi low-cost sensors Punjab, Pakistan | 39.5 | |
| 83 | Baripāda Odisha, India | 39.3 | |
| 84 | Amravati Maharashtra, India | 38.7 | |
| 85 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 38.3 | |
| 86 | Kotli Loharan low-cost sensors Punjab, Pakistan | 38.1 | |
| 86 | Tonk Rajasthan, India | 38.1 | |
| 88 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 37.6 | |
| 89 | Ajmer Rajasthan, India | 37.4 | |
| 90 | Hājīpur Bihar, India | 36.6 | |
| 91 | Sawai Madhopur Rajasthan, India | 36.1 | |
| 92 | Bhopal Madhya Pradesh, India | 35.9 | |
| 93 | Ahmedabad Gujarat, India | 35.8 | |
| 93 | Lagos low-cost sensors Lagos, Nigeria | 35.8 | |
| 95 | Tirumala Andhra Pradesh, India | 35.6 | |
| 96 | Nashik Maharashtra, India | 35.2 | |
| 97 | Buxar Bihar, India | 35.0 | |
| 98 | Badlapur Maharashtra, India | 34.9 | |
| 99 | Rourkela Odisha, India | 34.8 | |
| 100 | Karonga low-cost sensors Northern Region, Malawi | 34.7 | |
| 100 | Morādābād Uttar Pradesh, India | 34.7 | |
| 102 | Laredo Texas, United States | 34.3 | |
| 103 | Joda Odisha, India | 34.1 | |
| 104 | Monterrey Nuevo León, Mexico | 33.8 | |
| 105 | Hyderabad low-cost sensors Sindh, Pakistan | 33.2 | |
| 106 | Gaya Bihar, India | 33.0 | |
| 107 | Jincheng Fukien, Taiwan | 32.9 | |
| 107 | Ibadan low-cost sensors Oyo State, Nigeria | 32.9 | |
| 109 | Bahawalpur low-cost sensors Punjab, Pakistan | 32.8 | |
| 110 | Dhule Maharashtra, India | 32.6 | |
| 111 | Aurangabad Maharashtra, India | 32.5 | |
| 112 | Santa Catarina Nuevo León, Mexico | 32.4 | |
| 113 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 32.3 | |
| 114 | Panvel Maharashtra, India | 32.0 | |
| 115 | Perundurai Tamil Nadu, India | 31.8 | |
| 116 | Austin Texas, United States | 31.7 | |
| 117 | Akola Maharashtra, India | 31.4 | |
| 118 | Pimpri-Chinchwad Maharashtra, India | 31.1 | |
| 119 | Thāne Maharashtra, India | 30.9 | |
| 119 | Bengaluru Karnataka, India | 30.9 | |
| 121 | Pune Maharashtra, India | 30.7 | |
| 121 | San Antonio Texas, United States | 30.7 | |
| 123 | Nagaon Assam, India | 30.6 | |
| 123 | Kalyān Maharashtra, India | 30.6 | |
| 125 | Karachi low-cost sensors Sindh, Pakistan | 30.5 | |
| 126 | Quthbullapur Telangana, India | 30.3 | |
| 127 | Prayagraj Uttar Pradesh, India | 30.0 | |
| 128 | Surat Gujarat, India | 29.5 | |
| 129 | Sai Mai low-cost sensors Bangkok, Thailand | 29.4 | |
| 129 | Wadgaon Kolhati Maharashtra, India | 29.4 | |
| 131 | Chittorgarh Rajasthan, India | 29.3 | |
| 132 | Rājgīr Bihar, India | 29.0 | |
| 133 | Patiāla Punjab, India | 28.9 | |
| 135 | Zomba low-cost sensors Southern Region, Malawi | 28.5 | |
| 135 | Indore Madhya Pradesh, India | 28.5 | |
| 135 | Eagle Pass Texas, United States | 28.5 | |
| 138 | Chandigarh Chandigarh, India | 28.3 | |
| 139 | Live Oak Texas, United States | 28.2 | |
| 140 | Islamabad low-cost sensors Islamabad, Pakistan | 27.9 | |
| 140 | Ciudad Benito Juárez Nuevo León, Mexico | 27.9 | |
| 142 | Belagavi Karnataka, India | 27.8 | |
| 143 | Quezon City low-cost sensors National Capital Region, Philippines | 27.6 | |
| 144 | Bareilly Uttar Pradesh, India | 27.3 | |
| 144 | Corpus Christi Texas, United States | 27.3 | |
| 146 | Port Arthur Texas, United States | 27.1 | |
| 147 | Bhiwandi Maharashtra, India | 27.0 | |
| 147 | Cedar Park Texas, United States | 27.0 | |
| 147 | Naharlagun Arunachal Pradesh, India | 27.0 | |
| 150 | Lilongwe low-cost sensors Central Region, Malawi | 26.9 | |
| 150 | Blantyre low-cost sensors Southern Region, Malawi | 26.9 | |
| 152 | Belton Texas, United States | 26.4 | |
| 153 | Ciudad Apodaca Nuevo León, Mexico | 26.3 | |
| 153 | San Salvador Tizatlalli México, Mexico | 26.3 | |
| 155 | Phuntsholing low-cost sensors Chukha, Bhutan | 26.1 | |
| 156 | Kolhāpur Maharashtra, India | 26.0 | |
| 156 | Ashaiman low-cost sensors Greater Accra, Ghana | 26.0 | |
| 156 | Cadereyta Jiménez Nuevo León, Mexico | 26.0 | |
| 159 | Celaya Guanajuato, Mexico | 25.8 | |
| 159 | Fort Worth Texas, United States | 25.8 | |
| 159 | Parque Industrial Ciudad Mitras Nuevo León, Mexico | 25.8 | |
| 162 | Porto low-cost sensors Porto, Portugal | 25.7 | |
| 162 | Amaravati Andhra Pradesh, India | 25.7 | |
| 164 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 25.6 | |
| 165 | Kalaburagi Karnataka, India | 25.5 | |
| 165 | Naucalpan de Juárez México, Mexico | 25.5 | |
| 165 | Edinburg Texas, United States | 25.5 | |
| 168 | Tlaquepaque Jalisco, Mexico | 25.4 | |
| 169 | Kolkata West Bengal, India | 25.3 | |
| 169 | Brownsville Texas, United States | 25.3 | |
| 171 | Kota Rajasthan, India | 25.1 | |
| 172 | Gandhinagar Gujarat, India | 25.0 | |
| 173 | Raipur Chhattisgarh, India | 24.9 | |
| 173 | Mission Texas, United States | 24.9 | |
| 175 | Silao de la Victoria Guanajuato, Mexico | 24.8 | |
| 176 | Rasapūdipalem Andhra Pradesh, India | 24.7 | |
| 176 | Corsicana Texas, United States | 24.7 | |
| 178 | Sīkar Rajasthan, India | 24.6 | |
| 179 | Bhayandar Maharashtra, India | 24.5 | |
| 180 | Saugor Madhya Pradesh, India | 24.4 | |
| 180 | Mumbai Maharashtra, India | 24.4 | |
| 182 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 24.3 | |
| 183 | Mixquiahuala de Juárez Hidalgo, Mexico | 24.1 | |
| 184 | Erlin Taiwan, Taiwan | 23.9 | |
| 185 | Ciudad Nezahualcoyotl México, Mexico | 23.8 | |
| 186 | Bharatpur Rajasthan, India | 23.7 | |
| 187 | Addis Ababa Addis Ababa, Ethiopia | 23.6 | |
| 188 | Irapuato Guanajuato, Mexico | 23.5 | |
| 188 | Saginaw Texas, United States | 23.5 | |
| 190 | Shivamogga Karnataka, India | 23.4 | |
| 191 | Hacienda Santa Fe Jalisco, Mexico | 23.3 | |
| 192 | Puebla Puebla, Mexico | 23.2 | |
| 193 | Jhālāwār Rajasthan, India | 22.9 | |
| 194 | Āsansol West Bengal, India | 22.8 | |
| 194 | Sukuta low-cost sensors Western, Gambia | 22.8 | |
| 196 | Bhubaneswar Odisha, India | 22.7 | |
| 196 | Miyako Iwate, Japan | 22.7 | |
| 196 | San Luis de la Paz Guanajuato, Mexico | 22.7 | |
| 199 | Shrīrāmpur West Bengal, India | 22.6 | |
| 199 | Erlun Taiwan, Taiwan | 22.6 |
Top 200 of 2,285 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