SmogRank / History / week of March 16, 2026
Most polluted cities, week of March 16, 2026
2,302 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 | Changchun low-cost sensors Jilin, China | 144.6 | |
| 2 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 131.8 | |
| 3 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 116.4 | |
| 4 | Gurugram Haryana, India | 108.1 | |
| 5 | Faridabad Haryana, India | 96.9 | |
| 6 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 85.4 | |
| 7 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 83.7 | |
| 8 | Dādri Uttar Pradesh, India | 80.9 | |
| 9 | Singrauli Madhya Pradesh, India | 79.7 | |
| 10 | Bahadurgarh Haryana, India | 76.8 | |
| 11 | Łask Łódź Voivodeship, Poland | 75.7 | |
| 12 | Hājīpur Bihar, India | 74.8 | |
| 13 | Undera Gujarat, India | 74.1 | |
| 14 | Noida Uttar Pradesh, India | 73.0 | |
| 15 | Bhelai Chhattisgarh, India | 70.4 | |
| 16 | Sonīpat Haryana, India | 69.3 | |
| 17 | Dhāruhera Haryana, India | 69.2 | |
| 18 | Burunday low-cost sensors Almaty Region, Kazakhstan | 67.3 | |
| 19 | Narela Delhi, India | 65.5 | |
| 20 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 63.7 | |
| 21 | Mahād Maharashtra, India | 61.5 | |
| 22 | Delhi Delhi, India | 61.3 | |
| 23 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 58.4 | |
| 24 | Bahawalpur low-cost sensors Punjab, Pakistan | 58.3 | |
| 25 | Ghāziābād Uttar Pradesh, India | 57.5 | |
| 26 | Lucknow Uttar Pradesh, India | 55.1 | |
| 27 | Talghar low-cost sensors Almaty Region, Kazakhstan | 54.9 | |
| 28 | Muzaffarnagar Uttar Pradesh, India | 54.7 | |
| 29 | Bhiwadi Rajasthan, India | 54.5 | |
| 30 | Gwalior Madhya Pradesh, India | 54.3 | |
| 31 | Shivamogga Karnataka, India | 54.2 | |
| 32 | Jalgaon Maharashtra, India | 54.1 | |
| 33 | Multan low-cost sensors Punjab, Pakistan | 52.8 | |
| 34 | Kampala low-cost sensors Central Region, Uganda | 52.6 | |
| 35 | Panvel Maharashtra, India | 52.5 | |
| 36 | Faisalabad low-cost sensors Punjab, Pakistan | 52.0 | |
| 37 | Ahmedabad Gujarat, India | 51.1 | |
| 38 | Bāghpat Uttar Pradesh, India | 50.5 | |
| 39 | Hāpur Uttar Pradesh, India | 50.0 | |
| 40 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 49.8 | |
| 41 | Greater Noida Uttar Pradesh, India | 49.6 | |
| 42 | Patna Bihar, India | 49.5 | |
| 43 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 49.0 | |
| 44 | Lahore low-cost sensors Punjab, Pakistan | 48.8 | |
| 45 | Nalbāri Assam, India | 48.5 | |
| 45 | Aya Nagar Delhi, India | 48.5 | |
| 47 | Yamuna Nagar Haryana, India | 48.0 | |
| 48 | Saharsa Bihar, India | 47.7 | |
| 49 | Gummidipundi Tamil Nadu, India | 46.8 | |
| 50 | Uttaradit low-cost sensors Uttaradit, Thailand | 46.4 | |
| 51 | Ankleshwar Gujarat, India | 45.9 | |
| 52 | Karnāl Haryana, India | 45.7 | |
| 53 | Kanpur Uttar Pradesh, India | 44.8 | |
| 54 | Kathmandu low-cost sensors Bagmati Province, Nepal | 44.7 | |
| 55 | Ambāla Haryana, India | 44.6 | |
| 56 | Meerut Uttar Pradesh, India | 44.5 | |
| 57 | Pimpri-Chinchwad Maharashtra, India | 44.0 | |
| 58 | Otwock Mazovia, Poland | 43.7 | |
| 59 | Radomsko Łódź Voivodeship, Poland | 43.6 | |
| 60 | Nagaon Assam, India | 43.3 | |
| 60 | Jaipur Rajasthan, India | 43.3 | |
| 60 | Almaty low-cost sensors Almaty, Kazakhstan | 43.3 | |
| 63 | Arrah Bihar, India | 42.7 | |
| 63 | Akola Maharashtra, India | 42.7 | |
| 65 | Malegaon Maharashtra, India | 42.1 | |
| 66 | Vijayawada Andhra Pradesh, India | 42.0 | |
| 67 | Victoria de Durango Durango, Mexico | 41.7 | |
| 68 | Kadapa Andhra Pradesh, India | 41.6 | |
| 69 | Nashik Maharashtra, India | 41.4 | |
| 69 | Dhaulpur Rajasthan, India | 41.4 | |
| 71 | Angul Odisha, India | 41.3 | |
| 72 | Tonk Rajasthan, India | 41.1 | |
| 73 | Thānesar Haryana, India | 40.6 | |
| 73 | Kalyān Maharashtra, India | 40.6 | |
| 73 | Dhule Maharashtra, India | 40.6 | |
| 76 | Ajmer Rajasthan, India | 40.4 | |
| 77 | Baddi Himachal Pradesh, India | 40.2 | |
| 78 | South Lake Tahoe California, United States | 39.8 | |
| 79 | Anantapur Andhra Pradesh, India | 39.6 | |
| 80 | Nagpur Maharashtra, India | 39.3 | |
| 81 | Kharghar Maharashtra, India | 39.0 | |
| 82 | Tlaquepaque Jalisco, Mexico | 38.5 | |
| 83 | Bhiwāni Haryana, India | 38.4 | |
| 84 | Kalisz Greater Poland, Poland | 38.3 | |
| 85 | Gujranwala low-cost sensors Punjab, Pakistan | 38.1 | |
| 86 | Pune Maharashtra, India | 37.3 | |
| 86 | Żywiec Silesia, Poland | 37.3 | |
| 88 | Kota Rajasthan, India | 37.1 | |
| 89 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 37.0 | |
| 90 | Arāria Bihar, India | 36.9 | |
| 91 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 36.8 | |
| 92 | Târgu Mureş low-cost sensors Mureș County, Romania | 36.4 | |
| 93 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 36.3 | |
| 93 | Yadgir Karnataka, India | 36.3 | |
| 95 | Gaya Bihar, India | 36.0 | |
| 96 | Jīnd Haryana, India | 35.9 | |
| 96 | Prayagraj Uttar Pradesh, India | 35.9 | |
| 98 | Pljevlja Pljevlja, Montenegro | 35.8 | |
| 99 | Hyderabad low-cost sensors Sindh, Pakistan | 35.4 | |
| 99 | Badlapur Maharashtra, India | 35.4 | |
| 99 | Barbil Odisha, India | 35.4 | |
| 102 | Tirupati Andhra Pradesh, India | 35.2 | |
| 103 | Dębica Subcarpathia, Poland | 35.0 | |
| 104 | Tarnów Lesser Poland, Poland | 34.8 | |
| 105 | Sholapur Maharashtra, India | 34.7 | |
| 105 | Rājgīr Bihar, India | 34.7 | |
| 107 | Jammu low-cost sensors Jammu and Kashmir, India | 34.6 | |
| 108 | Sirsa Haryana, India | 34.4 | |
| 108 | Chandigarh Chandigarh, India | 34.4 | |
| 110 | Surat Gujarat, India | 34.3 | |
| 110 | Begusarai Bihar, India | 34.3 | |
| 112 | Dausa Rajasthan, India | 34.1 | |
| 112 | Chittorgarh Rajasthan, India | 34.1 | |
| 112 | Bhiwandi Maharashtra, India | 34.1 | |
| 112 | Bijelo Polje Bijelo Polje, Montenegro | 34.1 | |
| 116 | Stodůlky low-cost sensors Prague, Czechia | 33.9 | |
| 116 | Říčany low-cost sensors Central Bohemia, Czechia | 33.9 | |
| 118 | Rawalpindi low-cost sensors Punjab, Pakistan | 33.8 | |
| 118 | Gandhinagar Gujarat, India | 33.8 | |
| 120 | Karachi low-cost sensors Sindh, Pakistan | 33.7 | |
| 121 | Delano low-cost sensors California, United States | 33.2 | |
| 122 | Phuntsholing low-cost sensors Chukha, Bhutan | 33.1 | |
| 123 | Karauli Rajasthan, India | 32.8 | |
| 124 | Sai Mai low-cost sensors Bangkok, Thailand | 32.5 | |
| 125 | Indore Madhya Pradesh, India | 32.4 | |
| 126 | Gorzów Wielkopolski Lubusz, Poland | 32.2 | |
| 126 | Banja Luka Srpska, Bosnia and Herzegovina | 32.2 | |
| 126 | Wadgaon Kolhati Maharashtra, India | 32.2 | |
| 129 | Jastrzębie Zdrój Silesia, Poland | 32.0 | |
| 130 | Vapi Gujarat, India | 31.7 | |
| 131 | Zgierz Łódź Voivodeship, Poland | 31.6 | |
| 132 | Mangaluru Karnataka, India | 31.5 | |
| 133 | Islamabad low-cost sensors Islamabad, Pakistan | 31.2 | |
| 134 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 30.7 | |
| 134 | Kłodzko Lower Silesia, Poland | 30.7 | |
| 136 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 30.6 | |
| 137 | Gevgelija Gevgelija, North Macedonia | 30.5 | |
| 138 | Kolhāpur Maharashtra, India | 30.4 | |
| 138 | Aurangabad Maharashtra, India | 30.4 | |
| 140 | Latur Maharashtra, India | 30.3 | |
| 141 | Mielec Subcarpathia, Poland | 30.2 | |
| 141 | Bitola Bitola, North Macedonia | 30.2 | |
| 143 | Rzeszów Subcarpathia, Poland | 30.1 | |
| 143 | Closepet Karnataka, India | 30.1 | |
| 145 | Bhopal Madhya Pradesh, India | 30.0 | |
| 146 | Sialkot low-cost sensors Punjab, Pakistan | 29.9 | |
| 146 | Bengaluru Karnataka, India | 29.9 | |
| 148 | Keonjhargarh Odisha, India | 29.7 | |
| 148 | Agra Uttar Pradesh, India | 29.7 | |
| 150 | Thāne Maharashtra, India | 29.5 | |
| 151 | Tulare low-cost sensors California, United States | 29.4 | |
| 152 | Chūru Rajasthan, India | 29.3 | |
| 153 | Starachowice Świętokrzyskie, Poland | 29.1 | |
| 153 | Quthbullapur Telangana, India | 29.1 | |
| 155 | Būndi Rajasthan, India | 29.0 | |
| 155 | Hacienda Santa Fe Jalisco, Mexico | 29.0 | |
| 157 | Sīkar Rajasthan, India | 28.9 | |
| 157 | Bārān Rajasthan, India | 28.9 | |
| 159 | Chānda Maharashtra, India | 28.8 | |
| 160 | Zamość Lublin, Poland | 28.7 | |
| 160 | Czechowice-Dziedzice Silesia, Poland | 28.7 | |
| 162 | Sawai Madhopur Rajasthan, India | 28.5 | |
| 163 | Tetovo Tetovo, North Macedonia | 28.4 | |
| 163 | Durgapur West Bengal, India | 28.4 | |
| 163 | Żary Lubusz, Poland | 28.4 | |
| 166 | Ahilyanagar Maharashtra, India | 28.3 | |
| 167 | Nanded Maharashtra, India | 28.2 | |
| 168 | Bangkok low-cost sensors Bangkok, Thailand | 28.1 | |
| 169 | Bhilwara Rajasthan, India | 27.9 | |
| 169 | Bharatpur Rajasthan, India | 27.9 | |
| 171 | Jalandhar Punjab, India | 27.8 | |
| 171 | Amravati Maharashtra, India | 27.8 | |
| 173 | Rourkela Odisha, India | 27.4 | |
| 173 | Morādābād Uttar Pradesh, India | 27.4 | |
| 173 | San Salvador Tizatlalli México, Mexico | 27.4 | |
| 176 | Jelenia Góra Lower Silesia, Poland | 27.2 | |
| 177 | Radom Mazovia, Poland | 27.1 | |
| 177 | Baripāda Odisha, India | 27.1 | |
| 179 | Włocławek Kujawsko-Pomorskie, Poland | 26.8 | |
| 180 | Āsansol West Bengal, India | 26.7 | |
| 181 | Vereeniging low-cost sensors Gauteng, South Africa | 26.6 | |
| 182 | Manchester low-cost sensors England, United Kingdom | 26.5 | |
| 183 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 26.4 | |
| 184 | Pratāpgarh Rajasthan, India | 26.3 | |
| 185 | Gostivar Gostivar, North Macedonia | 26.2 | |
| 185 | Jaisalmer Rajasthan, India | 26.2 | |
| 187 | Erlun Taiwan, Taiwan | 26.1 | |
| 188 | Nisko Subcarpathia, Poland | 25.9 | |
| 188 | Kielce Świętokrzyskie, Poland | 25.9 | |
| 188 | Jhunjhunūn Rajasthan, India | 25.9 | |
| 191 | Kaithal Haryana, India | 25.8 | |
| 192 | Suceava Suceava, Romania | 25.7 | |
| 193 | Rānīganj West Bengal, India | 25.5 | |
| 193 | Bānswāra Rajasthan, India | 25.5 | |
| 195 | Boisar Maharashtra, India | 25.4 | |
| 195 | Wrocław Lower Silesia, Poland | 25.4 | |
| 197 | Kikinda Vojvodina, Serbia | 25.1 | |
| 197 | Douliu Taiwan, Taiwan | 25.1 | |
| 197 | Tallahassee Florida, United States | 25.1 | |
| 200 | Dej Cluj County, Romania | 25.0 |
Top 200 of 2,302 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