SmogRank / History / April 3, 2026
Most polluted cities on April 3, 2026
2,317 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Changchun low-cost sensors Jilin, China | 308.0 | |
| 2 | Gurugram Haryana, India | 186.0 | |
| 3 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 166.0 | |
| 4 | Faridabad Haryana, India | 149.2 | |
| 5 | Jīnd Haryana, India | 141.0 | |
| 6 | Chūru Rajasthan, India | 125.0 | |
| 7 | Sirsa Haryana, India | 115.0 | |
| 8 | Joda Odisha, India | 112.0 | |
| 9 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 108.0 | |
| 10 | Bhiwāni Haryana, India | 103.0 | |
| 11 | Dādri Uttar Pradesh, India | 102.0 | |
| 12 | Kampala low-cost sensors Central Region, Uganda | 101.0 | |
| 13 | Arāria Bihar, India | 95.4 | |
| 14 | Bhelai Chhattisgarh, India | 92.6 | |
| 15 | Karnāl Haryana, India | 92.0 | |
| 16 | Ambāla Haryana, India | 90.5 | |
| 17 | Narela Delhi, India | 90.4 | |
| 18 | Uttaradit low-cost sensors Uttaradit, Thailand | 88.1 | |
| 19 | Noida Uttar Pradesh, India | 84.7 | |
| 20 | Hājīpur Bihar, India | 83.2 | |
| 21 | Singrauli Madhya Pradesh, India | 79.9 | |
| 22 | Jaipur Rajasthan, India | 79.3 | |
| 23 | Delhi Delhi, India | 77.2 | |
| 24 | Sonīpat Haryana, India | 74.1 | |
| 25 | Bhiwadi Rajasthan, India | 72.2 | |
| 26 | Barbil Odisha, India | 68.6 | |
| 27 | Siwān Bihar, India | 67.7 | |
| 28 | Angul Odisha, India | 67.2 | |
| 29 | Ghāziābād Uttar Pradesh, India | 60.0 | |
| 30 | Thānesar Haryana, India | 59.8 | |
| 31 | Kathmandu low-cost sensors Bagmati Province, Nepal | 59.6 | |
| 32 | Greater Noida Uttar Pradesh, India | 58.1 | |
| 33 | Dhāruhera Haryana, India | 57.8 | |
| 34 | Jhunjhunūn Rajasthan, India | 56.8 | |
| 35 | Najafgarh Delhi, India | 56.0 | |
| 36 | Nalbāri Assam, India | 55.6 | |
| 37 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 55.4 | |
| 38 | Kadapa Andhra Pradesh, India | 55.3 | |
| 39 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 54.9 | |
| 40 | Jharia Jharkhand, India | 54.8 | |
| 41 | Vapi Gujarat, India | 54.0 | |
| 42 | Durgapur West Bengal, India | 53.7 | |
| 43 | Bāghpat Uttar Pradesh, India | 53.1 | |
| 44 | Hāpur Uttar Pradesh, India | 52.6 | |
| 45 | Undera Gujarat, India | 52.1 | |
| 46 | Faisalabad low-cost sensors Punjab, Pakistan | 51.7 | |
| 47 | Sukuta low-cost sensors Western, Gambia | 50.8 | |
| 48 | Meerut Uttar Pradesh, India | 50.0 | |
| 49 | Baripāda Odisha, India | 49.5 | |
| 50 | Vijayawada Andhra Pradesh, India | 49.4 | |
| 51 | Yamuna Nagar Haryana, India | 48.1 | |
| 52 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 48.0 | |
| 53 | Rourkela Odisha, India | 47.6 | |
| 54 | Phuntsholing low-cost sensors Chukha, Bhutan | 47.5 | |
| 55 | Lucknow Uttar Pradesh, India | 47.3 | |
| 56 | Gummidipundi Tamil Nadu, India | 47.1 | |
| 57 | Kaithal Haryana, India | 46.8 | |
| 58 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 46.6 | |
| 59 | Anantapur Andhra Pradesh, India | 46.5 | |
| 60 | Brikama low-cost sensors Western, Gambia | 46.3 | |
| 61 | Gwalior Madhya Pradesh, India | 46.2 | |
| 62 | Burunday low-cost sensors Almaty Region, Kazakhstan | 46.0 | |
| 63 | Gujranwala low-cost sensors Punjab, Pakistan | 45.3 | |
| 64 | Ahmedabad Gujarat, India | 45.2 | |
| 65 | Morādābād Uttar Pradesh, India | 44.2 | |
| 65 | Baddi Himachal Pradesh, India | 44.2 | |
| 67 | Keonjhargarh Odisha, India | 43.4 | |
| 68 | Sialkot low-cost sensors Punjab, Pakistan | 43.2 | |
| 68 | Tonk Rajasthan, India | 43.2 | |
| 68 | Patna Bihar, India | 43.2 | |
| 71 | Ajmer Rajasthan, India | 41.7 | |
| 72 | Kalisz Greater Poland, Poland | 41.5 | |
| 73 | Radomsko Łódź Voivodeship, Poland | 40.8 | |
| 74 | Dausa Rajasthan, India | 40.7 | |
| 75 | Saharsa Bihar, India | 40.2 | |
| 75 | Jammu low-cost sensors Jammu and Kashmir, India | 40.2 | |
| 77 | Āsansol West Bengal, India | 40.0 | |
| 78 | Thāne Maharashtra, India | 39.8 | |
| 79 | Wadgaon Kolhati Maharashtra, India | 39.7 | |
| 80 | Zgierz Łódź Voivodeship, Poland | 39.6 | |
| 81 | Jalgaon Maharashtra, India | 39.5 | |
| 82 | Byasanagar Odisha, India | 38.3 | |
| 83 | Ankleshwar Gujarat, India | 38.0 | |
| 84 | Aizawl Mizoram, India | 37.9 | |
| 85 | San Luis Potosí San Luis Potosí, Mexico | 37.7 | |
| 86 | Bhāgalpur Bihar, India | 37.2 | |
| 87 | Almaty low-cost sensors Almaty, Kazakhstan | 36.8 | |
| 88 | Lahore low-cost sensors Punjab, Pakistan | 36.4 | |
| 88 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 36.4 | |
| 90 | Dubai low-cost sensors Dubai, United Arab Emirates | 36.3 | |
| 90 | Bengaluru Karnataka, India | 36.3 | |
| 92 | Pune Maharashtra, India | 36.2 | |
| 93 | Bānswāra Rajasthan, India | 36.1 | |
| 94 | Obrenovac Central Serbia, Serbia | 35.9 | |
| 95 | Malegaon Maharashtra, India | 35.8 | |
| 96 | Czechowice-Dziedzice Silesia, Poland | 35.7 | |
| 97 | Kalyān Maharashtra, India | 35.6 | |
| 98 | Agartala Tripura, India | 35.5 | |
| 99 | Jounieh low-cost sensors Mount Lebanon, Lebanon | 35.4 | |
| 99 | Tuxtla Chiapas, Mexico | 35.4 | |
| 101 | Rānīganj West Bengal, India | 35.0 | |
| 102 | Talghar low-cost sensors Almaty Region, Kazakhstan | 34.9 | |
| 103 | Dhule Maharashtra, India | 34.6 | |
| 104 | Nagpur Maharashtra, India | 34.2 | |
| 105 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 33.9 | |
| 106 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 33.7 | |
| 106 | Kłodzko Lower Silesia, Poland | 33.7 | |
| 108 | Surat Gujarat, India | 33.6 | |
| 109 | Nashik Maharashtra, India | 33.5 | |
| 110 | Kanpur Uttar Pradesh, India | 33.4 | |
| 110 | Łask Łódź Voivodeship, Poland | 33.4 | |
| 112 | Gangtok Sikkim, India | 33.3 | |
| 113 | Agra Uttar Pradesh, India | 33.2 | |
| 114 | Bareilly Uttar Pradesh, India | 33.1 | |
| 115 | Buxar Bihar, India | 33.0 | |
| 115 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 33.0 | |
| 117 | Târgu Mureş low-cost sensors Mureș County, Romania | 32.9 | |
| 117 | Rairangpur Odisha, India | 32.9 | |
| 117 | Bahadurgarh Haryana, India | 32.9 | |
| 120 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 32.8 | |
| 120 | Yadgir Karnataka, India | 32.8 | |
| 120 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 32.8 | |
| 123 | Veszprém Veszprém, Hungary | 32.5 | |
| 124 | Pljevlja Pljevlja, Montenegro | 32.3 | |
| 125 | Chānda Maharashtra, India | 32.2 | |
| 126 | Bahawalpur low-cost sensors Punjab, Pakistan | 32.0 | |
| 126 | Bhiwandi Maharashtra, India | 32.0 | |
| 128 | Būndi Rajasthan, India | 31.9 | |
| 129 | Silchar Assam, India | 31.7 | |
| 129 | Sai Mai low-cost sensors Bangkok, Thailand | 31.7 | |
| 131 | Tirupati Andhra Pradesh, India | 31.6 | |
| 132 | Quthbullapur Telangana, India | 31.5 | |
| 133 | Beirut low-cost sensors Beirut, Lebanon | 31.4 | |
| 133 | Karauli Rajasthan, India | 31.4 | |
| 135 | Kharghar Maharashtra, India | 31.1 | |
| 136 | Żywiec Silesia, Poland | 30.6 | |
| 137 | Shillong Meghalaya, India | 30.4 | |
| 137 | Bangkok low-cost sensors Bangkok, Thailand | 30.4 | |
| 137 | Pimpri-Chinchwad Maharashtra, India | 30.4 | |
| 140 | Badlapur Maharashtra, India | 30.2 | |
| 141 | Virār Maharashtra, India | 30.1 | |
| 142 | Lagos low-cost sensors Lagos, Nigeria | 29.8 | |
| 143 | Otwock Mazovia, Poland | 29.6 | |
| 144 | Nanded Maharashtra, India | 29.4 | |
| 145 | Shrīrāmpur West Bengal, India | 29.3 | |
| 145 | Gandhinagar Gujarat, India | 29.3 | |
| 147 | Sidon low-cost sensors South Governorate, Lebanon | 29.2 | |
| 148 | Kolkata West Bengal, India | 29.1 | |
| 149 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 29.0 | |
| 150 | Jastrzębie Zdrój Silesia, Poland | 28.9 | |
| 151 | Rawalpindi low-cost sensors Punjab, Pakistan | 28.7 | |
| 152 | Mahād Maharashtra, India | 28.6 | |
| 153 | Sholapur Maharashtra, India | 28.5 | |
| 153 | Closepet Karnataka, India | 28.5 | |
| 155 | Říčany low-cost sensors Central Bohemia, Czechia | 28.4 | |
| 156 | Gaya Bihar, India | 28.3 | |
| 157 | Mumbai Maharashtra, India | 28.2 | |
| 158 | Smederevo Central Serbia, Serbia | 28.0 | |
| 158 | Chandigarh Chandigarh, India | 28.0 | |
| 160 | Suceava Suceava, Romania | 27.9 | |
| 161 | Wan Chai Wan Chai, Hong Kong | 27.8 | |
| 162 | Ziguinchor low-cost sensors Ziguinchor, Senegal | 27.7 | |
| 163 | Dej Cluj County, Romania | 27.5 | |
| 163 | Ashaiman low-cost sensors Greater Accra, Ghana | 27.5 | |
| 165 | Gostivar Gostivar, North Macedonia | 27.2 | |
| 166 | Chittorgarh Rajasthan, India | 27.1 | |
| 166 | Włocławek Kujawsko-Pomorskie, Poland | 27.1 | |
| 168 | Aurangabad Maharashtra, India | 27.0 | |
| 169 | Iaşi Iași County, Romania | 26.8 | |
| 169 | Multan low-cost sensors Punjab, Pakistan | 26.8 | |
| 169 | Calexico California, United States | 26.8 | |
| 172 | Belgrade Central Serbia, Serbia | 26.5 | |
| 172 | Parbhani Maharashtra, India | 26.5 | |
| 174 | San Salvador Tizatlalli México, Mexico | 26.3 | |
| 175 | Jalor Rajasthan, India | 25.9 | |
| 175 | Begusarai Bihar, India | 25.9 | |
| 177 | Sīkar Rajasthan, India | 25.8 | |
| 178 | Hyderabad low-cost sensors Sindh, Pakistan | 25.5 | |
| 179 | Sawai Madhopur Rajasthan, India | 25.4 | |
| 179 | Patiāla Punjab, India | 25.4 | |
| 181 | Atlixco Puebla, Mexico | 25.3 | |
| 182 | Sri Ganganagar Rajasthan, India | 25.1 | |
| 182 | Coimbatore Tamil Nadu, India | 25.1 | |
| 182 | Ciudad General Escobedo Nuevo León, Mexico | 25.1 | |
| 185 | Rājgīr Bihar, India | 25.0 | |
| 186 | Gorzów Wielkopolski Lubusz, Poland | 24.9 | |
| 187 | Stodůlky low-cost sensors Prague, Czechia | 24.7 | |
| 188 | Bārān Rajasthan, India | 24.6 | |
| 188 | Banja Luka Srpska, Bosnia and Herzegovina | 24.6 | |
| 190 | Zacatepec de Hidalgo Morelos, Mexico | 24.5 | |
| 191 | Panvel Maharashtra, India | 24.4 | |
| 192 | Jalandhar Punjab, India | 24.3 | |
| 193 | Bhubaneswar Odisha, India | 24.0 | |
| 193 | Jelenia Góra Lower Silesia, Poland | 24.0 | |
| 195 | Bhopal Madhya Pradesh, India | 23.8 | |
| 196 | Bhilwara Rajasthan, India | 23.7 | |
| 196 | Dakar low-cost sensors Dakar, Senegal | 23.7 | |
| 198 | Wrocław Lower Silesia, Poland | 23.6 | |
| 199 | Sighetu Marmaţiei Maramureş, Romania | 23.5 | |
| 199 | Bijelo Polje Bijelo Polje, Montenegro | 23.5 |
Top 200 of 2,317 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