SmogRank / History / March 19, 2026
Most polluted cities on March 19, 2026
2,376 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Łask Łódź Voivodeship, Poland | 136.0 | |
| 2 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 135.0 | |
| 3 | Hājīpur Bihar, India | 107.0 | |
| 4 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 102.0 | |
| 5 | Bahadurgarh Haryana, India | 96.2 | |
| 6 | Bhelai Chhattisgarh, India | 95.1 | |
| 7 | Burunday low-cost sensors Almaty Region, Kazakhstan | 90.5 | |
| 8 | Faridabad Haryana, India | 87.3 | |
| 9 | Singrauli Madhya Pradesh, India | 86.8 | |
| 10 | Radomsko Łódź Voivodeship, Poland | 84.6 | |
| 11 | Gurugram Haryana, India | 83.8 | |
| 12 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 75.7 | |
| 13 | Yamuna Nagar Haryana, India | 73.5 | |
| 14 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 72.7 | |
| 15 | Undera Gujarat, India | 66.7 | |
| 16 | Dādri Uttar Pradesh, India | 66.0 | |
| 17 | Patna Bihar, India | 64.9 | |
| 18 | Noida Uttar Pradesh, India | 64.8 | |
| 19 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 64.6 | |
| 20 | Arrah Bihar, India | 63.2 | |
| 21 | Sonīpat Haryana, India | 62.9 | |
| 22 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 61.6 | |
| 23 | Mahād Maharashtra, India | 60.4 | |
| 24 | Kampala low-cost sensors Central Region, Uganda | 57.7 | |
| 25 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 57.4 | |
| 26 | Ankleshwar Gujarat, India | 57.1 | |
| 27 | Lucknow Uttar Pradesh, India | 56.9 | |
| 28 | Chāpra Bihar, India | 56.8 | |
| 29 | Dhāruhera Haryana, India | 56.2 | |
| 30 | Gwalior Madhya Pradesh, India | 55.8 | |
| 31 | Delhi Delhi, India | 55.4 | |
| 32 | Victoria de Durango Durango, Mexico | 55.3 | |
| 33 | Narela Delhi, India | 55.0 | |
| 34 | Tarnów Lesser Poland, Poland | 54.6 | |
| 34 | Bahawalpur low-cost sensors Punjab, Pakistan | 54.6 | |
| 36 | Saharsa Bihar, India | 54.4 | |
| 37 | Ghāziābād Uttar Pradesh, India | 53.9 | |
| 37 | Talghar low-cost sensors Almaty Region, Kazakhstan | 53.9 | |
| 39 | Zgierz Łódź Voivodeship, Poland | 53.8 | |
| 40 | Bāghpat Uttar Pradesh, India | 53.7 | |
| 41 | Kłodzko Lower Silesia, Poland | 52.3 | |
| 42 | Tlaquepaque Jalisco, Mexico | 51.9 | |
| 43 | Changchun low-cost sensors Jilin, China | 51.5 | |
| 44 | Faisalabad low-cost sensors Punjab, Pakistan | 51.3 | |
| 44 | Prayagraj Uttar Pradesh, India | 51.3 | |
| 46 | Otwock Mazovia, Poland | 51.0 | |
| 47 | Kalisz Greater Poland, Poland | 50.1 | |
| 48 | Muzaffarnagar Uttar Pradesh, India | 49.5 | |
| 49 | Starachowice Świętokrzyskie, Poland | 49.0 | |
| 50 | Chandigarh Chandigarh, India | 48.8 | |
| 50 | Ahmedabad Gujarat, India | 48.8 | |
| 52 | Karnāl Haryana, India | 48.6 | |
| 53 | Mielec Subcarpathia, Poland | 48.2 | |
| 54 | Dębica Subcarpathia, Poland | 47.5 | |
| 54 | Stodůlky low-cost sensors Prague, Czechia | 47.5 | |
| 56 | Angul Odisha, India | 47.2 | |
| 57 | Zamość Lublin, Poland | 46.9 | |
| 58 | Nagpur Maharashtra, India | 46.1 | |
| 59 | Radom Mazovia, Poland | 45.8 | |
| 60 | Greater Noida Uttar Pradesh, India | 45.6 | |
| 61 | Almaty low-cost sensors Almaty, Kazakhstan | 45.4 | |
| 62 | Říčany low-cost sensors Central Bohemia, Czechia | 44.9 | |
| 63 | Dhule Maharashtra, India | 44.8 | |
| 64 | Sirsa Haryana, India | 44.7 | |
| 65 | Jarosław Subcarpathia, Poland | 44.4 | |
| 65 | Byasanagar Odisha, India | 44.4 | |
| 67 | Kathmandu low-cost sensors Bagmati Province, Nepal | 44.0 | |
| 68 | Kadapa Andhra Pradesh, India | 43.9 | |
| 69 | Hāpur Uttar Pradesh, India | 43.7 | |
| 70 | Gaya Bihar, India | 43.5 | |
| 71 | Kanpur Uttar Pradesh, India | 43.3 | |
| 72 | Jelenia Góra Lower Silesia, Poland | 43.2 | |
| 73 | Bhiwadi Rajasthan, India | 42.8 | |
| 74 | Uttaradit low-cost sensors Uttaradit, Thailand | 42.7 | |
| 75 | Bhopal Madhya Pradesh, India | 42.6 | |
| 76 | Ambāla Haryana, India | 42.4 | |
| 77 | Kalyān Maharashtra, India | 42.3 | |
| 77 | Gorzów Wielkopolski Lubusz, Poland | 42.3 | |
| 79 | Jalgaon Maharashtra, India | 42.1 | |
| 80 | Nashik Maharashtra, India | 41.5 | |
| 80 | Pimpri-Chinchwad Maharashtra, India | 41.5 | |
| 82 | Surat Gujarat, India | 41.1 | |
| 83 | Kharghar Maharashtra, India | 41.0 | |
| 84 | Akola Maharashtra, India | 40.8 | |
| 85 | Karachi low-cost sensors Sindh, Pakistan | 40.7 | |
| 86 | Opole Opole Voivodeship, Poland | 40.6 | |
| 87 | Jastrzębie Zdrój Silesia, Poland | 40.5 | |
| 88 | Panvel Maharashtra, India | 40.4 | |
| 89 | Aya Nagar Delhi, India | 40.0 | |
| 90 | Vijayawada Andhra Pradesh, India | 39.9 | |
| 91 | Lahore low-cost sensors Punjab, Pakistan | 39.6 | |
| 92 | Czechowice-Dziedzice Silesia, Poland | 39.5 | |
| 93 | Multan low-cost sensors Punjab, Pakistan | 39.4 | |
| 93 | Banja Luka Srpska, Bosnia and Herzegovina | 39.4 | |
| 95 | South Lake Tahoe California, United States | 39.3 | |
| 96 | Gujranwala low-cost sensors Punjab, Pakistan | 39.2 | |
| 97 | Meerut Uttar Pradesh, India | 39.1 | |
| 98 | Brzeg Opole Voivodeship, Poland | 38.9 | |
| 99 | Pune Maharashtra, India | 38.7 | |
| 99 | Kota Rajasthan, India | 38.7 | |
| 101 | Jaipur Rajasthan, India | 38.6 | |
| 102 | Indore Madhya Pradesh, India | 38.3 | |
| 103 | Rājgīr Bihar, India | 38.1 | |
| 104 | Thānesar Haryana, India | 38.0 | |
| 105 | Jīnd Haryana, India | 37.9 | |
| 105 | Barbil Odisha, India | 37.9 | |
| 107 | Nagaon Assam, India | 37.8 | |
| 107 | Żywiec Silesia, Poland | 37.8 | |
| 109 | Sāngli Maharashtra, India | 37.7 | |
| 109 | Āsansol West Bengal, India | 37.7 | |
| 111 | Phuntsholing low-cost sensors Chukha, Bhutan | 37.6 | |
| 112 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 37.2 | |
| 113 | Rzeszów Subcarpathia, Poland | 37.0 | |
| 113 | Ajmer Rajasthan, India | 37.0 | |
| 115 | Rānīganj West Bengal, India | 36.9 | |
| 115 | Bhiwāni Haryana, India | 36.9 | |
| 117 | Winterthur low-cost sensors Zurich, Switzerland | 36.8 | |
| 118 | Kędzierzyn-Koźle Opole Voivodeship, Poland | 36.3 | |
| 119 | Rawalpindi low-cost sensors Punjab, Pakistan | 36.2 | |
| 120 | Wrocław Lower Silesia, Poland | 36.1 | |
| 121 | Kielce Świętokrzyskie, Poland | 36.0 | |
| 122 | Jhālāwār Rajasthan, India | 35.9 | |
| 123 | Tonk Rajasthan, India | 35.6 | |
| 124 | Racibórz Silesia, Poland | 35.3 | |
| 125 | Bitola Bitola, North Macedonia | 35.1 | |
| 126 | Włocławek Kujawsko-Pomorskie, Poland | 35.0 | |
| 127 | Vapi Gujarat, India | 34.9 | |
| 128 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 34.6 | |
| 129 | Gevgelija Gevgelija, North Macedonia | 34.5 | |
| 130 | Rēzekne Rēzekne, Latvia | 34.4 | |
| 131 | Cambridge low-cost sensors England, United Kingdom | 34.0 | |
| 131 | San Salvador Tizatlalli México, Mexico | 34.0 | |
| 133 | Brookfield low-cost sensors Wisconsin, United States | 33.8 | |
| 134 | Nisko Subcarpathia, Poland | 33.7 | |
| 134 | Chānda Maharashtra, India | 33.7 | |
| 134 | Delano low-cost sensors California, United States | 33.7 | |
| 137 | Tallahassee Florida, United States | 33.5 | |
| 138 | Bārān Rajasthan, India | 33.3 | |
| 139 | Hanumāngarh Rajasthan, India | 33.2 | |
| 140 | Būndi Rajasthan, India | 33.0 | |
| 141 | Bānswāra Rajasthan, India | 32.9 | |
| 142 | Weißenfels Saxony-Anhalt, Germany | 32.8 | |
| 142 | Szczecin West Pomerania, Poland | 32.8 | |
| 144 | Islamabad low-cost sensors Islamabad, Pakistan | 32.7 | |
| 145 | Columbus Georgia, United States | 32.6 | |
| 146 | Gummidipundi Tamil Nadu, India | 32.5 | |
| 146 | Bhiwandi Maharashtra, India | 32.5 | |
| 146 | Begusarai Bihar, India | 32.5 | |
| 146 | San Francisco Tlalcilalcalpan México, Mexico | 32.5 | |
| 150 | León de los Aldama Guanajuato, Mexico | 32.4 | |
| 151 | Haarlem low-cost sensors North Holland, The Netherlands | 32.3 | |
| 151 | Mexicali Baja California, Mexico | 32.3 | |
| 151 | Tulare low-cost sensors California, United States | 32.3 | |
| 154 | Łódź Łódź Voivodeship, Poland | 32.2 | |
| 155 | Vereeniging low-cost sensors Gauteng, South Africa | 32.1 | |
| 155 | Keonjhargarh Odisha, India | 32.1 | |
| 155 | Bettiah Bihar, India | 32.1 | |
| 155 | Arāria Bihar, India | 32.1 | |
| 155 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 32.1 | |
| 155 | Bernburg Saxony-Anhalt, Germany | 32.1 | |
| 161 | Durgapur West Bengal, India | 32.0 | |
| 162 | Albany Georgia, United States | 31.9 | |
| 163 | Olpe low-cost sensors North Rhine-Westphalia, Germany | 31.7 | |
| 163 | Żary Lubusz, Poland | 31.7 | |
| 165 | Hacienda Santa Fe Jalisco, Mexico | 31.3 | |
| 166 | Brikama low-cost sensors Western, Gambia | 31.2 | |
| 166 | Kołobrzeg West Pomerania, Poland | 31.2 | |
| 168 | Zeitz Saxony-Anhalt, Germany | 30.8 | |
| 169 | Badlapur Maharashtra, India | 30.4 | |
| 170 | Shivamogga Karnataka, India | 30.2 | |
| 170 | Jammu low-cost sensors Jammu and Kashmir, India | 30.2 | |
| 170 | Cuttack Odisha, India | 30.2 | |
| 173 | Karauli Rajasthan, India | 30.0 | |
| 174 | Gandhinagar Gujarat, India | 29.9 | |
| 175 | Halberstadt Saxony-Anhalt, Germany | 29.3 | |
| 175 | Dortmund North Rhine-Westphalia, Germany | 29.3 | |
| 175 | Bydgoszcz Kujawsko-Pomorskie, Poland | 29.3 | |
| 178 | Morādābād Uttar Pradesh, India | 29.1 | |
| 179 | Lublin Lublin, Poland | 28.8 | |
| 179 | Chittorgarh Rajasthan, India | 28.8 | |
| 181 | Kolhāpur Maharashtra, India | 28.7 | |
| 181 | Valdosta Georgia, United States | 28.7 | |
| 183 | Södertälje Stockholm, Sweden | 28.5 | |
| 183 | Merseburg Saxony-Anhalt, Germany | 28.5 | |
| 183 | Halle (Saale) Saxony-Anhalt, Germany | 28.5 | |
| 183 | Poznań Greater Poland, Poland | 28.5 | |
| 183 | Nilópolis Rio de Janeiro, Brazil | 28.5 | |
| 188 | Füssen low-cost sensors Bavaria, Germany | 28.4 | |
| 188 | Xonacatlán México, Mexico | 28.4 | |
| 190 | Addis Ababa Addis Ababa, Ethiopia | 28.3 | |
| 190 | Dhaulpur Rajasthan, India | 28.3 | |
| 192 | Overijse low-cost sensors Flanders, Belgium | 28.2 | |
| 193 | Rourkela Odisha, India | 28.1 | |
| 193 | Pratāpgarh Rajasthan, India | 28.1 | |
| 193 | Gdańsk Pomerania, Poland | 28.1 | |
| 196 | Ahilyanagar Maharashtra, India | 28.0 | |
| 196 | Beersel low-cost sensors Flanders, Belgium | 28.0 | |
| 196 | Weimar Thuringia, Germany | 28.0 | |
| 199 | Sawai Madhopur Rajasthan, India | 27.9 | |
| 199 | Mühlhausen Thuringia, Germany | 27.9 |
Top 200 of 2,376 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