SmogRank / History / April 5, 2026
Most polluted cities on April 5, 2026
2,297 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 168.0 | |
| 2 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 146.0 | |
| 3 | Mangaluru Karnataka, India | 136.0 | |
| 4 | Arāria Bihar, India | 92.8 | |
| 5 | Uttaradit low-cost sensors Uttaradit, Thailand | 92.7 | |
| 6 | Faridabad Haryana, India | 79.8 | |
| 7 | Bhiwāni Haryana, India | 79.0 | |
| 8 | Gurugram Haryana, India | 78.2 | |
| 9 | Sonīpat Haryana, India | 74.1 | |
| 10 | Hāpur Uttar Pradesh, India | 73.0 | |
| 11 | Faisalabad low-cost sensors Punjab, Pakistan | 66.2 | |
| 12 | Dādri Uttar Pradesh, India | 64.5 | |
| 13 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 59.4 | |
| 14 | Joda Odisha, India | 57.8 | |
| 15 | Yamuna Nagar Haryana, India | 54.7 | |
| 16 | Noida Uttar Pradesh, India | 53.4 | |
| 17 | Muzaffarnagar Uttar Pradesh, India | 53.3 | |
| 18 | Phuntsholing low-cost sensors Chukha, Bhutan | 52.9 | |
| 19 | Undera Gujarat, India | 52.6 | |
| 20 | Narela Delhi, India | 51.9 | |
| 21 | Meerut Uttar Pradesh, India | 49.7 | |
| 22 | Jalgaon Maharashtra, India | 49.6 | |
| 23 | Ghāziābād Uttar Pradesh, India | 49.0 | |
| 24 | Changchun low-cost sensors Jilin, China | 48.6 | |
| 25 | Delhi Delhi, India | 47.9 | |
| 25 | Angul Odisha, India | 47.9 | |
| 27 | Tirupati Andhra Pradesh, India | 47.8 | |
| 28 | Wadgaon Kolhati Maharashtra, India | 46.3 | |
| 29 | Talghar low-cost sensors Almaty Region, Kazakhstan | 46.0 | |
| 30 | Nagpur Maharashtra, India | 45.5 | |
| 31 | Dhāruhera Haryana, India | 45.4 | |
| 32 | Karnāl Haryana, India | 45.2 | |
| 33 | Hājīpur Bihar, India | 45.1 | |
| 34 | Bhiwadi Rajasthan, India | 45.0 | |
| 35 | Anantapur Andhra Pradesh, India | 44.8 | |
| 36 | Kadapa Andhra Pradesh, India | 44.6 | |
| 36 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 44.6 | |
| 38 | Bahawalpur low-cost sensors Punjab, Pakistan | 44.5 | |
| 39 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 44.4 | |
| 40 | Bangkok low-cost sensors Bangkok, Thailand | 44.3 | |
| 40 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 44.3 | |
| 42 | Najafgarh Delhi, India | 43.3 | |
| 43 | Byasanagar Odisha, India | 43.1 | |
| 44 | Sai Mai low-cost sensors Bangkok, Thailand | 43.0 | |
| 45 | Bāghpat Uttar Pradesh, India | 42.4 | |
| 46 | Jaipur Rajasthan, India | 42.3 | |
| 47 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 41.7 | |
| 48 | Tirumala Andhra Pradesh, India | 41.4 | |
| 49 | Lahore low-cost sensors Punjab, Pakistan | 41.0 | |
| 50 | Ahmedabad Gujarat, India | 40.9 | |
| 50 | Kathmandu low-cost sensors Bagmati Province, Nepal | 40.9 | |
| 52 | Greater Noida Uttar Pradesh, India | 40.8 | |
| 53 | Aizawl Mizoram, India | 40.2 | |
| 54 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 40.0 | |
| 55 | Vijayawada Andhra Pradesh, India | 39.7 | |
| 56 | Gummidipundi Tamil Nadu, India | 39.6 | |
| 57 | Victoria de Durango Durango, Mexico | 39.3 | |
| 58 | Atlixco Puebla, Mexico | 39.0 | |
| 59 | Chittoor Andhra Pradesh, India | 38.6 | |
| 60 | Keonjhargarh Odisha, India | 37.7 | |
| 61 | Amaravati Andhra Pradesh, India | 37.5 | |
| 62 | Chānda Maharashtra, India | 37.3 | |
| 62 | Ankleshwar Gujarat, India | 37.3 | |
| 64 | Rourkela Odisha, India | 37.0 | |
| 65 | Dhule Maharashtra, India | 36.9 | |
| 66 | Patna Bihar, India | 36.7 | |
| 67 | San Luis Potosí San Luis Potosí, Mexico | 36.3 | |
| 68 | Agartala Tripura, India | 36.1 | |
| 69 | Dubai low-cost sensors Dubai, United Arab Emirates | 35.8 | |
| 70 | Parbhani Maharashtra, India | 35.7 | |
| 71 | Indore Madhya Pradesh, India | 35.0 | |
| 72 | Burunday low-cost sensors Almaty Region, Kazakhstan | 34.7 | |
| 73 | Multan low-cost sensors Punjab, Pakistan | 34.5 | |
| 73 | Gujranwala low-cost sensors Punjab, Pakistan | 34.5 | |
| 75 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 34.4 | |
| 75 | Tehuacán Puebla, Mexico | 34.4 | |
| 77 | Kalyān Maharashtra, India | 34.3 | |
| 77 | Bahadurgarh Haryana, India | 34.3 | |
| 79 | Barbil Odisha, India | 33.9 | |
| 80 | Thāne Maharashtra, India | 33.6 | |
| 81 | Bengaluru Karnataka, India | 33.4 | |
| 82 | Bhubaneswar Odisha, India | 33.3 | |
| 83 | Shrīrāmpur West Bengal, India | 33.2 | |
| 83 | Hyderabad Telangana, India | 33.2 | |
| 85 | Yadgir Karnataka, India | 33.0 | |
| 86 | Nanded Maharashtra, India | 32.5 | |
| 86 | Baripāda Odisha, India | 32.5 | |
| 88 | Siwān Bihar, India | 32.4 | |
| 89 | Kampala low-cost sensors Central Region, Uganda | 32.1 | |
| 90 | Kolkata West Bengal, India | 31.9 | |
| 91 | Durgapur West Bengal, India | 31.8 | |
| 92 | Gandhinagar Gujarat, India | 31.6 | |
| 92 | Tuxtla Chiapas, Mexico | 31.6 | |
| 94 | Karachi low-cost sensors Sindh, Pakistan | 31.4 | |
| 95 | Panvel Maharashtra, India | 31.3 | |
| 96 | Thānesar Haryana, India | 31.2 | |
| 97 | Ambāla Haryana, India | 31.1 | |
| 98 | Vapi Gujarat, India | 31.0 | |
| 99 | Târgu Mureş low-cost sensors Mureș County, Romania | 30.8 | |
| 99 | Quezon City low-cost sensors National Capital Region, Philippines | 30.8 | |
| 101 | Gangtok Sikkim, India | 30.7 | |
| 102 | Rawalpindi low-cost sensors Punjab, Pakistan | 30.3 | |
| 103 | Ajmer Rajasthan, India | 30.2 | |
| 104 | Bikaner Rajasthan, India | 30.1 | |
| 105 | Sukuta low-cost sensors Western, Gambia | 29.8 | |
| 106 | Cuttack Odisha, India | 29.5 | |
| 107 | Obrenovac Central Serbia, Serbia | 29.3 | |
| 108 | Jīnd Haryana, India | 29.2 | |
| 109 | Zacatepec de Hidalgo Morelos, Mexico | 29.0 | |
| 110 | Dausa Rajasthan, India | 28.9 | |
| 111 | Tonk Rajasthan, India | 28.8 | |
| 112 | Surat Gujarat, India | 28.7 | |
| 113 | Guwahati Assam, India | 28.3 | |
| 113 | San Salvador Tizatlalli México, Mexico | 28.3 | |
| 115 | Dhaulpur Rajasthan, India | 28.2 | |
| 116 | Shivamogga Karnataka, India | 28.1 | |
| 116 | Jharia Jharkhand, India | 28.1 | |
| 118 | Latur Maharashtra, India | 27.9 | |
| 119 | Gwalior Madhya Pradesh, India | 27.1 | |
| 120 | Rasapūdipalem Andhra Pradesh, India | 27.0 | |
| 121 | Quthbullapur Telangana, India | 26.7 | |
| 122 | Mahād Maharashtra, India | 26.6 | |
| 123 | Wolfsberg Carinthia, Austria | 26.3 | |
| 124 | Sholapur Maharashtra, India | 26.2 | |
| 124 | Closepet Karnataka, India | 26.2 | |
| 126 | Virār Maharashtra, India | 25.9 | |
| 126 | Amravati Maharashtra, India | 25.9 | |
| 128 | Addis Ababa Addis Ababa, Ethiopia | 25.7 | |
| 129 | Badlapur Maharashtra, India | 25.5 | |
| 130 | Buxar Bihar, India | 25.4 | |
| 131 | Novara Piedmont, Italy | 25.3 | |
| 132 | Smederevo Central Serbia, Serbia | 25.2 | |
| 133 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 25.0 | |
| 134 | Bijelo Polje Bijelo Polje, Montenegro | 24.9 | |
| 135 | Dera Māndi Delhi, India | 24.8 | |
| 135 | Brikama low-cost sensors Western, Gambia | 24.8 | |
| 137 | Iloilo low-cost sensors Western Visayas, Philippines | 24.5 | |
| 137 | Lagos low-cost sensors Lagos, Nigeria | 24.5 | |
| 139 | Hacienda Santa Fe Jalisco, Mexico | 24.3 | |
| 140 | Kalaburagi Karnataka, India | 24.2 | |
| 140 | Pljevlja Pljevlja, Montenegro | 24.2 | |
| 140 | Baddi Himachal Pradesh, India | 24.2 | |
| 143 | Bhilwara Rajasthan, India | 24.0 | |
| 144 | Nashik Maharashtra, India | 23.9 | |
| 144 | Taguig low-cost sensors National Capital Region, Philippines | 23.9 | |
| 146 | Pune Maharashtra, India | 23.8 | |
| 146 | Singapore low-cost sensors Singapore | 23.8 | |
| 148 | Dej Cluj County, Romania | 23.6 | |
| 148 | Haldia West Bengal, India | 23.6 | |
| 150 | Kota Rajasthan, India | 23.5 | |
| 151 | Nagaon Assam, India | 23.4 | |
| 151 | Bhopal Madhya Pradesh, India | 23.4 | |
| 153 | Puebla Puebla, Mexico | 23.2 | |
| 154 | Almaty low-cost sensors Almaty, Kazakhstan | 23.1 | |
| 154 | Panchkula Haryana, India | 23.1 | |
| 156 | Bārān Rajasthan, India | 23.0 | |
| 157 | Morādābād Uttar Pradesh, India | 22.7 | |
| 158 | Jabalpur Madhya Pradesh, India | 22.4 | |
| 158 | Coimbatore Tamil Nadu, India | 22.4 | |
| 158 | Bānswāra Rajasthan, India | 22.4 | |
| 158 | Āsansol West Bengal, India | 22.4 | |
| 158 | Ziguinchor low-cost sensors Ziguinchor, Senegal | 22.4 | |
| 158 | Tulsa Oklahoma, United States | 22.4 | |
| 164 | Akola Maharashtra, India | 22.3 | |
| 165 | Porto low-cost sensors Porto, Portugal | 22.0 | |
| 166 | Rājgīr Bihar, India | 21.8 | |
| 166 | Mexicali Baja California, Mexico | 21.8 | |
| 166 | Calexico California, United States | 21.8 | |
| 169 | Shillong Meghalaya, India | 21.6 | |
| 169 | Pratāpgarh Rajasthan, India | 21.6 | |
| 169 | Aguascalientes Aguascalientes, Mexico | 21.6 | |
| 172 | Karauli Rajasthan, India | 21.4 | |
| 172 | Neelankarai Tamil Nadu, India | 21.4 | |
| 174 | Chikmagalūr Karnataka, India | 21.2 | |
| 175 | Bitola Bitola, North Macedonia | 21.0 | |
| 176 | Rānīganj West Bengal, India | 20.9 | |
| 176 | Užice Central Serbia, Serbia | 20.9 | |
| 178 | Silao de la Victoria Guanajuato, Mexico | 20.8 | |
| 179 | Jincheng Fukien, Taiwan | 20.7 | |
| 180 | Jhunjhunūn Rajasthan, India | 20.6 | |
| 180 | Chittorgarh Rajasthan, India | 20.6 | |
| 182 | Aurangabad Maharashtra, India | 20.5 | |
| 183 | Hyderabad low-cost sensors Sindh, Pakistan | 20.4 | |
| 184 | Gaya Bihar, India | 20.3 | |
| 185 | Singrauli Madhya Pradesh, India | 20.2 | |
| 186 | Bareilly Uttar Pradesh, India | 20.1 | |
| 186 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 20.1 | |
| 188 | Sialkot low-cost sensors Punjab, Pakistan | 19.9 | |
| 188 | Jammu low-cost sensors Jammu and Kashmir, India | 19.9 | |
| 188 | Wan Chai Wan Chai, Hong Kong | 19.9 | |
| 188 | Klagenfurt am Wörthersee Carinthia, Austria | 19.9 | |
| 192 | Istanbul low-cost sensors Istanbul, Turkey | 19.8 | |
| 192 | Silchar Assam, India | 19.8 | |
| 194 | Salamanca Guanajuato, Mexico | 19.6 | |
| 195 | Belgrade Central Serbia, Serbia | 19.5 | |
| 196 | Suceava Suceava, Romania | 19.4 | |
| 196 | Lucknow Uttar Pradesh, India | 19.4 | |
| 198 | Raipur Chhattisgarh, India | 19.3 | |
| 199 | Niš Central Serbia, Serbia | 19.2 | |
| 199 | Celaya Guanajuato, Mexico | 19.2 |
Top 200 of 2,297 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