SmogRank / History / week of April 27, 2026
Most polluted cities, week of April 27, 2026
2,274 cities ranked by their average PM2.5 over the 7 days. A city needs measurements on 70% of the days to be ranked.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Gurugram Haryana, India | 109.0 | |
| 2 | Jīnd Haryana, India | 108.3 | |
| 3 | Kaithal Haryana, India | 106.8 | |
| 4 | Sonīpat Haryana, India | 87.4 | |
| 5 | Joda Odisha, India | 86.8 | |
| 6 | Karnāl Haryana, India | 81.4 | |
| 7 | Narela Delhi, India | 74.7 | |
| 8 | Hanumāngarh Rajasthan, India | 71.1 | |
| 9 | Muzaffarnagar Uttar Pradesh, India | 68.8 | |
| 10 | Faridabad Haryana, India | 68.7 | |
| 11 | Bhiwadi Rajasthan, India | 58.6 | |
| 12 | Dādri Uttar Pradesh, India | 58.5 | |
| 13 | Jalandhar Punjab, India | 58.2 | |
| 14 | Chānda Maharashtra, India | 56.6 | |
| 15 | Virār Maharashtra, India | 56.5 | |
| 16 | Gwalior Madhya Pradesh, India | 54.8 | |
| 17 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 53.8 | |
| 18 | Noida Uttar Pradesh, India | 53.7 | |
| 19 | Jaipur Rajasthan, India | 53.6 | |
| 20 | Singrauli Madhya Pradesh, India | 53.0 | |
| 21 | Lucknow Uttar Pradesh, India | 52.8 | |
| 22 | Ghāziābād Uttar Pradesh, India | 52.5 | |
| 22 | San Francisco De Borja Lima region, Peru | 52.5 | |
| 24 | Thānesar Haryana, India | 52.2 | |
| 25 | Redmond low-cost sensors Washington, United States | 52.0 | |
| 26 | Bānswāra Rajasthan, India | 51.8 | |
| 26 | Baddi Himachal Pradesh, India | 51.8 | |
| 28 | Delhi Delhi, India | 51.6 | |
| 29 | Tirupati Andhra Pradesh, India | 50.0 | |
| 30 | Chūru Rajasthan, India | 49.8 | |
| 31 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 49.5 | |
| 32 | Undera Gujarat, India | 49.0 | |
| 33 | Gummidipundi Tamil Nadu, India | 48.8 | |
| 34 | Buxar Bihar, India | 48.2 | |
| 35 | Meerut Uttar Pradesh, India | 47.7 | |
| 36 | Najafgarh Delhi, India | 47.3 | |
| 37 | Lahore low-cost sensors Punjab, Pakistan | 46.5 | |
| 38 | Karauli Rajasthan, India | 45.8 | |
| 39 | Panchkula Haryana, India | 45.3 | |
| 40 | Aya Nagar Delhi, India | 44.6 | |
| 41 | Agra Uttar Pradesh, India | 44.5 | |
| 42 | Jalgaon Maharashtra, India | 44.3 | |
| 43 | Mahād Maharashtra, India | 44.1 | |
| 44 | Vijayawada Andhra Pradesh, India | 43.4 | |
| 45 | Santa Anita - Los Ficus Lima region, Peru | 43.2 | |
| 46 | Sri Ganganagar Rajasthan, India | 43.0 | |
| 47 | Uttaradit low-cost sensors Uttaradit, Thailand | 42.8 | |
| 48 | Jhālāwār Rajasthan, India | 42.6 | |
| 49 | Kampala low-cost sensors Central Region, Uganda | 41.5 | |
| 50 | Faisalabad low-cost sensors Punjab, Pakistan | 41.4 | |
| 50 | Sholapur Maharashtra, India | 41.4 | |
| 52 | Bahawalpur low-cost sensors Punjab, Pakistan | 40.8 | |
| 53 | Lilongwe low-cost sensors Central Region, Malawi | 40.6 | |
| 54 | Multan low-cost sensors Punjab, Pakistan | 40.5 | |
| 55 | Nagpur Maharashtra, India | 40.2 | |
| 56 | Latur Maharashtra, India | 39.0 | |
| 57 | Jammu low-cost sensors Jammu and Kashmir, India | 38.8 | |
| 58 | Kanpur Uttar Pradesh, India | 38.7 | |
| 59 | Palembang low-cost sensors South Sumatra, Indonesia | 38.5 | |
| 60 | Bikaner Rajasthan, India | 38.1 | |
| 60 | Ambāla Haryana, India | 38.1 | |
| 62 | Dausa Rajasthan, India | 38.0 | |
| 63 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 37.9 | |
| 64 | Kathmandu low-cost sensors Bagmati Province, Nepal | 37.2 | |
| 65 | Gujranwala low-cost sensors Punjab, Pakistan | 36.9 | |
| 65 | Ajmer Rajasthan, India | 36.9 | |
| 67 | Dhule Maharashtra, India | 36.8 | |
| 67 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 36.8 | |
| 69 | Yadgir Karnataka, India | 36.5 | |
| 70 | Parbhani Maharashtra, India | 36.4 | |
| 71 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 36.0 | |
| 72 | Hājīpur Bihar, India | 35.8 | |
| 72 | Greater Noida Uttar Pradesh, India | 35.8 | |
| 74 | Bārān Rajasthan, India | 35.6 | |
| 75 | Nanded Maharashtra, India | 34.9 | |
| 75 | Aguascalientes Aguascalientes, Mexico | 34.9 | |
| 77 | Rourkela Odisha, India | 34.8 | |
| 78 | Barbil Odisha, India | 34.4 | |
| 79 | Closepet Karnataka, India | 34.0 | |
| 79 | Kota Rajasthan, India | 34.0 | |
| 81 | Neelankarai Tamil Nadu, India | 33.9 | |
| 82 | Bhiwandi Maharashtra, India | 33.8 | |
| 83 | San Luis Potosí San Luis Potosí, Mexico | 33.5 | |
| 84 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 33.4 | |
| 85 | Karachi low-cost sensors Sindh, Pakistan | 33.1 | |
| 85 | Jhunjhunūn Rajasthan, India | 33.1 | |
| 87 | Tonk Rajasthan, India | 33.0 | |
| 87 | Vapi Gujarat, India | 33.0 | |
| 87 | San Salvador Tizatlalli México, Mexico | 33.0 | |
| 90 | Ahmedabad Gujarat, India | 32.9 | |
| 90 | Lima Lima Province, Peru | 32.9 | |
| 92 | Amravati Maharashtra, India | 32.6 | |
| 93 | Sialkot low-cost sensors Punjab, Pakistan | 32.2 | |
| 94 | Ankleshwar Gujarat, India | 31.6 | |
| 94 | Callao Callao, Peru | 31.6 | |
| 96 | Chittorgarh Rajasthan, India | 31.2 | |
| 97 | Rājgīr Bihar, India | 31.0 | |
| 97 | Quthbullapur Telangana, India | 31.0 | |
| 99 | Hyderabad Telangana, India | 30.6 | |
| 99 | Dhaulpur Rajasthan, India | 30.6 | |
| 101 | Akola Maharashtra, India | 30.5 | |
| 102 | Nagaon Assam, India | 30.3 | |
| 103 | Kotli Loharan low-cost sensors Punjab, Pakistan | 30.0 | |
| 104 | Indore Madhya Pradesh, India | 29.9 | |
| 105 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 29.7 | |
| 106 | Morādābād Uttar Pradesh, India | 29.6 | |
| 106 | Angul Odisha, India | 29.6 | |
| 106 | Hacienda Santa Fe Jalisco, Mexico | 29.6 | |
| 109 | Kalyān Maharashtra, India | 29.5 | |
| 110 | Wadgaon Kolhati Maharashtra, India | 29.4 | |
| 111 | Hyderabad low-cost sensors Sindh, Pakistan | 29.2 | |
| 111 | Bhopal Madhya Pradesh, India | 29.2 | |
| 113 | Ibadan low-cost sensors Oyo State, Nigeria | 29.0 | |
| 114 | Aurangabad Maharashtra, India | 28.9 | |
| 115 | Jaisalmer Rajasthan, India | 28.4 | |
| 115 | Kharghar Maharashtra, India | 28.4 | |
| 117 | Perundurai Tamil Nadu, India | 28.3 | |
| 118 | San Pedro Sula low-cost sensors Cortés Department, Honduras | 28.1 | |
| 119 | Jalor Rajasthan, India | 27.7 | |
| 120 | Patiāla Punjab, India | 27.4 | |
| 121 | Hubballi Karnataka, India | 27.3 | |
| 122 | Prayagraj Uttar Pradesh, India | 27.1 | |
| 123 | Bengaluru Karnataka, India | 26.9 | |
| 124 | Dubai low-cost sensors Dubai, United Arab Emirates | 26.8 | |
| 125 | Nashik Maharashtra, India | 26.6 | |
| 125 | Belagavi Karnataka, India | 26.6 | |
| 127 | Ashaiman low-cost sensors Greater Accra, Ghana | 26.4 | |
| 128 | Sirohi Rajasthan, India | 26.2 | |
| 128 | Sai Mai low-cost sensors Bangkok, Thailand | 26.2 | |
| 130 | Bhilwara Rajasthan, India | 26.0 | |
| 131 | Jodhpur Rajasthan, India | 25.9 | |
| 131 | Chandigarh Chandigarh, India | 25.9 | |
| 131 | Calexico California, United States | 25.9 | |
| 134 | Baripāda Odisha, India | 25.8 | |
| 135 | Blantyre low-cost sensors Southern Region, Malawi | 25.7 | |
| 136 | Pratāpgarh Rajasthan, India | 25.4 | |
| 137 | Panvel Maharashtra, India | 25.3 | |
| 137 | Gaya Bihar, India | 25.3 | |
| 139 | Rawalpindi low-cost sensors Punjab, Pakistan | 25.2 | |
| 139 | Nandri Rajasthan, India | 25.2 | |
| 141 | Pune Maharashtra, India | 24.8 | |
| 142 | Nāgaur Rajasthan, India | 24.5 | |
| 143 | Kalaburagi Karnataka, India | 24.4 | |
| 144 | Thāne Maharashtra, India | 24.3 | |
| 144 | Puebla Puebla, Mexico | 24.3 | |
| 146 | Bareilly Uttar Pradesh, India | 24.2 | |
| 146 | Naucalpan de Juárez México, Mexico | 24.2 | |
| 148 | Būndi Rajasthan, India | 24.1 | |
| 148 | Pimpri-Chinchwad Maharashtra, India | 24.1 | |
| 150 | Surat Gujarat, India | 23.7 | |
| 150 | Tlaquepaque Jalisco, Mexico | 23.7 | |
| 152 | Badlapur Maharashtra, India | 23.6 | |
| 152 | Morelia Michoacán, Mexico | 23.6 | |
| 154 | Begusarai Bihar, India | 23.5 | |
| 155 | Sawai Madhopur Rajasthan, India | 23.2 | |
| 156 | Port Arthur Texas, United States | 23.0 | |
| 157 | Quezon City low-cost sensors National Capital Region, Philippines | 22.8 | |
| 157 | Lagos low-cost sensors Lagos, Nigeria | 22.8 | |
| 159 | Durgapur West Bengal, India | 22.6 | |
| 159 | San Luis de la Paz Guanajuato, Mexico | 22.6 | |
| 161 | Burunday low-cost sensors Almaty Region, Kazakhstan | 22.5 | |
| 161 | Irapuato Guanajuato, Mexico | 22.5 | |
| 161 | Amaravati Andhra Pradesh, India | 22.5 | |
| 164 | Bangkok low-cost sensors Bangkok, Thailand | 22.4 | |
| 165 | Bhubaneswar Odisha, India | 22.3 | |
| 166 | Kolhāpur Maharashtra, India | 22.2 | |
| 167 | Dūngarpur Rajasthan, India | 22.1 | |
| 168 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 22.0 | |
| 168 | Celaya Guanajuato, Mexico | 22.0 | |
| 170 | Monterrey Nuevo León, Mexico | 21.9 | |
| 171 | Sukuta low-cost sensors Western, Gambia | 21.7 | |
| 171 | Mexico City Mexico City, Mexico | 21.7 | |
| 171 | Santa Catarina Nuevo León, Mexico | 21.7 | |
| 174 | Saugor Madhya Pradesh, India | 21.6 | |
| 174 | Tepic Nayarit, Mexico | 21.6 | |
| 176 | Kolkata West Bengal, India | 21.5 | |
| 176 | Ciudad Benito Juárez Nuevo León, Mexico | 21.5 | |
| 178 | Shivamogga Karnataka, India | 21.4 | |
| 179 | Islamabad low-cost sensors Islamabad, Pakistan | 21.3 | |
| 179 | Mumbai Maharashtra, India | 21.3 | |
| 181 | Santiago de Querétaro Querétaro, Mexico | 21.0 | |
| 182 | Karonga low-cost sensors Northern Region, Malawi | 20.9 | |
| 182 | Sīkar Rajasthan, India | 20.9 | |
| 184 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 20.6 | |
| 184 | Mixquiahuala de Juárez Hidalgo, Mexico | 20.6 | |
| 184 | León de los Aldama Guanajuato, Mexico | 20.6 | |
| 187 | Gandhinagar Gujarat, India | 20.5 | |
| 188 | Arāria Bihar, India | 20.4 | |
| 188 | Haldia West Bengal, India | 20.4 | |
| 190 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 20.3 | |
| 191 | Shrīrāmpur West Bengal, India | 20.2 | |
| 191 | Cuautla Morelos, Mexico | 20.2 | |
| 193 | Jabalpur Madhya Pradesh, India | 20.0 | |
| 193 | Laredo Texas, United States | 20.0 | |
| 195 | Āsansol West Bengal, India | 19.9 | |
| 196 | Rānīganj West Bengal, India | 19.8 | |
| 196 | Raipur Chhattisgarh, India | 19.8 | |
| 198 | Douliu Taiwan, Taiwan | 19.6 | |
| 199 | Patna Bihar, India | 19.3 | |
| 199 | Madikeri Karnataka, India | 19.3 |
Top 200 of 2,274 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