SmogRank / History / March 24, 2026
Most polluted cities on March 24, 2026
2,377 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Faridabad Haryana, India | 139.4 | |
| 2 | Narela Delhi, India | 132.0 | |
| 3 | Gurugram Haryana, India | 125.0 | |
| 4 | Dādri Uttar Pradesh, India | 113.0 | |
| 5 | Łask Łódź Voivodeship, Poland | 105.0 | |
| 6 | Dera Māndi Delhi, India | 97.5 | |
| 7 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 97.3 | |
| 8 | Noida Uttar Pradesh, India | 96.3 | |
| 9 | Changchun low-cost sensors Jilin, China | 92.8 | |
| 10 | Panvel Maharashtra, India | 89.6 | |
| 11 | Gummidipundi Tamil Nadu, India | 83.6 | |
| 12 | Singrauli Madhya Pradesh, India | 81.3 | |
| 13 | Undera Gujarat, India | 80.4 | |
| 14 | Ghāziābād Uttar Pradesh, India | 78.1 | |
| 15 | Hāpur Uttar Pradesh, India | 77.4 | |
| 16 | Delhi Delhi, India | 75.4 | |
| 16 | Agartala Tripura, India | 75.4 | |
| 18 | Bhelai Chhattisgarh, India | 73.7 | |
| 19 | Hājīpur Bihar, India | 73.5 | |
| 20 | Bāghpat Uttar Pradesh, India | 72.5 | |
| 21 | Faisalabad low-cost sensors Punjab, Pakistan | 72.3 | |
| 22 | Multan low-cost sensors Punjab, Pakistan | 71.0 | |
| 23 | Yamuna Nagar Haryana, India | 70.5 | |
| 23 | Mahād Maharashtra, India | 70.5 | |
| 25 | Shivamogga Karnataka, India | 70.2 | |
| 26 | Najafgarh Delhi, India | 69.8 | |
| 27 | Barbil Odisha, India | 67.7 | |
| 28 | Meerut Uttar Pradesh, India | 67.6 | |
| 29 | Muzaffarnagar Uttar Pradesh, India | 67.5 | |
| 30 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 67.3 | |
| 30 | Joda Odisha, India | 67.3 | |
| 32 | Sāngli Maharashtra, India | 67.0 | |
| 33 | Kaithal Haryana, India | 66.8 | |
| 33 | Kalisz Greater Poland, Poland | 66.8 | |
| 35 | Ropar Punjab, India | 65.6 | |
| 36 | Greater Noida Uttar Pradesh, India | 64.4 | |
| 37 | Otwock Mazovia, Poland | 62.9 | |
| 38 | Kharghar Maharashtra, India | 62.3 | |
| 39 | Arāria Bihar, India | 62.0 | |
| 40 | Lahore low-cost sensors Punjab, Pakistan | 61.7 | |
| 41 | Uttaradit low-cost sensors Uttaradit, Thailand | 60.7 | |
| 42 | Jarosław Subcarpathia, Poland | 59.1 | |
| 43 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 58.7 | |
| 44 | Jīnd Haryana, India | 58.5 | |
| 45 | Sirsa Haryana, India | 58.4 | |
| 45 | Pimpri-Chinchwad Maharashtra, India | 58.4 | |
| 47 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 58.2 | |
| 48 | Kalyān Maharashtra, India | 57.7 | |
| 49 | Nagpur Maharashtra, India | 57.4 | |
| 50 | Dhāruhera Haryana, India | 57.2 | |
| 51 | Thānesar Haryana, India | 57.1 | |
| 52 | Bhiwadi Rajasthan, India | 57.0 | |
| 53 | Tarnów Lesser Poland, Poland | 55.6 | |
| 53 | Chānda Maharashtra, India | 55.6 | |
| 55 | Gwalior Madhya Pradesh, India | 55.5 | |
| 56 | Lucknow Uttar Pradesh, India | 53.7 | |
| 57 | Baddi Himachal Pradesh, India | 53.3 | |
| 58 | Ambāla Haryana, India | 53.1 | |
| 59 | Pune Maharashtra, India | 52.9 | |
| 60 | Rourkela Odisha, India | 51.9 | |
| 61 | Closepet Karnataka, India | 51.5 | |
| 62 | Kampala low-cost sensors Central Region, Uganda | 51.4 | |
| 62 | Ankleshwar Gujarat, India | 51.4 | |
| 64 | Chandigarh Chandigarh, India | 51.2 | |
| 64 | Gorzów Wielkopolski Lubusz, Poland | 51.2 | |
| 66 | Nalbāri Assam, India | 50.7 | |
| 67 | Dhule Maharashtra, India | 50.6 | |
| 68 | Włocławek Kujawsko-Pomorskie, Poland | 50.1 | |
| 69 | Poznań Greater Poland, Poland | 50.0 | |
| 70 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 48.5 | |
| 71 | Begusarai Bihar, India | 48.3 | |
| 72 | Bhiwandi Maharashtra, India | 48.2 | |
| 73 | Tonk Rajasthan, India | 48.1 | |
| 74 | Sholapur Maharashtra, India | 48.0 | |
| 75 | Zamość Lublin, Poland | 47.9 | |
| 76 | Dębica Subcarpathia, Poland | 47.7 | |
| 77 | Kłodzko Lower Silesia, Poland | 47.6 | |
| 78 | Târgu Mureş low-cost sensors Mureș County, Romania | 46.8 | |
| 78 | Patna Bihar, India | 46.8 | |
| 80 | Vilnius Vilnius, Lithuania | 45.7 | |
| 81 | Morādābād Uttar Pradesh, India | 45.5 | |
| 82 | Nashik Maharashtra, India | 45.2 | |
| 83 | Jaipur Rajasthan, India | 44.2 | |
| 83 | Żywiec Silesia, Poland | 44.2 | |
| 85 | Karnāl Haryana, India | 44.1 | |
| 85 | Angul Odisha, India | 44.1 | |
| 87 | Jalandhar Punjab, India | 44.0 | |
| 88 | Lublin Lublin, Poland | 43.9 | |
| 88 | Haarlem low-cost sensors North Holland, The Netherlands | 43.9 | |
| 90 | Rzeszów Subcarpathia, Poland | 43.8 | |
| 91 | Radomsko Łódź Voivodeship, Poland | 43.7 | |
| 92 | Amravati Maharashtra, India | 43.3 | |
| 93 | Chikmagalūr Karnataka, India | 43.0 | |
| 94 | Akola Maharashtra, India | 42.7 | |
| 95 | Bhayandar Maharashtra, India | 42.5 | |
| 96 | Chittorgarh Rajasthan, India | 42.3 | |
| 97 | Krosno Subcarpathia, Poland | 41.8 | |
| 97 | Bhiwāni Haryana, India | 41.8 | |
| 99 | Starachowice Świętokrzyskie, Poland | 41.7 | |
| 99 | Aurangabad Maharashtra, India | 41.7 | |
| 101 | Zgierz Łódź Voivodeship, Poland | 41.6 | |
| 101 | Brzeg Opole Voivodeship, Poland | 41.6 | |
| 103 | Augustów Podlasie, Poland | 41.5 | |
| 103 | Victoria de Durango Durango, Mexico | 41.5 | |
| 105 | Saharsa Bihar, India | 41.1 | |
| 105 | Copenhagen low-cost sensors Capital Region, Denmark | 41.1 | |
| 105 | Izegem Flanders, Belgium | 41.1 | |
| 108 | Mielec Subcarpathia, Poland | 40.7 | |
| 109 | Beersel low-cost sensors Flanders, Belgium | 40.6 | |
| 110 | Overijse low-cost sensors Flanders, Belgium | 40.5 | |
| 110 | Kraków Lesser Poland, Poland | 40.5 | |
| 112 | Kielce Świętokrzyskie, Poland | 40.3 | |
| 112 | Ajmer Rajasthan, India | 40.3 | |
| 114 | Kolhāpur Maharashtra, India | 40.2 | |
| 115 | Boisar Maharashtra, India | 39.9 | |
| 116 | Legionowo Mazovia, Poland | 39.7 | |
| 117 | Ciechanów Mazovia, Poland | 39.6 | |
| 118 | Bahawalpur low-cost sensors Punjab, Pakistan | 39.5 | |
| 119 | Latur Maharashtra, India | 39.4 | |
| 120 | Baripāda Odisha, India | 39.3 | |
| 121 | Nisko Subcarpathia, Poland | 39.2 | |
| 122 | Radom Mazovia, Poland | 39.1 | |
| 122 | Mumbai Maharashtra, India | 39.1 | |
| 122 | Badlapur Maharashtra, India | 39.1 | |
| 122 | Bydgoszcz Kujawsko-Pomorskie, Poland | 39.1 | |
| 126 | Kadapa Andhra Pradesh, India | 38.8 | |
| 127 | Nanded Maharashtra, India | 38.3 | |
| 127 | Mangaluru Karnataka, India | 38.3 | |
| 127 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 38.3 | |
| 130 | Santa Anita - Los Ficus Lima region, Peru | 38.1 | |
| 131 | Wismar Mecklenburg-Vorpommern, Germany | 38.0 | |
| 132 | Parbhani Maharashtra, India | 37.9 | |
| 133 | Białystok Podlasie, Poland | 37.8 | |
| 133 | Halstenbek Schleswig-Holstein, Germany | 37.8 | |
| 135 | Bikaner Rajasthan, India | 37.7 | |
| 135 | Douliu Taiwan, Taiwan | 37.7 | |
| 137 | Hyderabad Telangana, India | 37.3 | |
| 138 | Jastrzębie Zdrój Silesia, Poland | 37.2 | |
| 139 | Jammu low-cost sensors Jammu and Kashmir, India | 37.1 | |
| 140 | Suwałki Podlasie, Poland | 37.0 | |
| 140 | Buxar Bihar, India | 37.0 | |
| 140 | San Salvador Tizatlalli México, Mexico | 37.0 | |
| 143 | Jalgaon Maharashtra, India | 36.9 | |
| 144 | Pruszków Mazovia, Poland | 36.8 | |
| 144 | Ahmedabad Gujarat, India | 36.8 | |
| 146 | Gaya Bihar, India | 36.5 | |
| 146 | Zhushan Taiwan, Taiwan | 36.5 | |
| 146 | Shibata Niigata, Japan | 36.5 | |
| 149 | Panchkula Haryana, India | 36.4 | |
| 150 | Stralsund Mecklenburg-Vorpommern, Germany | 36.3 | |
| 150 | Hamburg Hamburg, Germany | 36.3 | |
| 152 | Nyūzen Toyama, Japan | 36.1 | |
| 152 | Říčany low-cost sensors Central Bohemia, Czechia | 36.1 | |
| 154 | Keonjhargarh Odisha, India | 36.0 | |
| 154 | Toruń Kujawsko-Pomorskie, Poland | 36.0 | |
| 156 | Miyazu Kyoto, Japan | 35.9 | |
| 157 | Toyama Toyama, Japan | 35.8 | |
| 158 | Czechowice-Dziedzice Silesia, Poland | 35.7 | |
| 159 | Āsansol West Bengal, India | 35.6 | |
| 159 | Stodůlky low-cost sensors Prague, Czechia | 35.6 | |
| 161 | Matsue Shimane, Japan | 35.5 | |
| 161 | Schwerin Mecklenburg-Vorpommern, Germany | 35.5 | |
| 163 | Yurihonjō Akita, Japan | 35.4 | |
| 164 | Chiayi City Taiwan, Taiwan | 35.3 | |
| 164 | Roubaix Hauts-de-France, France | 35.3 | |
| 166 | Gujranwala low-cost sensors Punjab, Pakistan | 35.2 | |
| 166 | Rostock Mecklenburg-Vorpommern, Germany | 35.2 | |
| 166 | Wrocław Lower Silesia, Poland | 35.2 | |
| 169 | Jhālāwār Rajasthan, India | 35.1 | |
| 169 | Durgapur West Bengal, India | 35.1 | |
| 169 | Takaoka Toyama, Japan | 35.1 | |
| 169 | Imizu Toyama, Japan | 35.1 | |
| 173 | Agra Uttar Pradesh, India | 35.0 | |
| 173 | 's-Gravenzande South Holland, The Netherlands | 35.0 | |
| 175 | Sawai Madhopur Rajasthan, India | 34.9 | |
| 175 | Łódź Łódź Voivodeship, Poland | 34.9 | |
| 177 | Tehuacán Puebla, Mexico | 34.8 | |
| 178 | Vijayawada Andhra Pradesh, India | 34.7 | |
| 178 | Kołobrzeg West Pomerania, Poland | 34.7 | |
| 178 | Vapi Gujarat, India | 34.7 | |
| 181 | Warsaw Mazovia, Poland | 34.5 | |
| 182 | Thāne Maharashtra, India | 34.3 | |
| 183 | Kanpur Uttar Pradesh, India | 34.2 | |
| 184 | Maizuru Kyoto, Japan | 34.1 | |
| 185 | Virār Maharashtra, India | 34.0 | |
| 185 | Anantapur Andhra Pradesh, India | 34.0 | |
| 185 | Denain Hauts-de-France, France | 34.0 | |
| 185 | Jelenia Góra Lower Silesia, Poland | 34.0 | |
| 189 | Houthalen Flanders, Belgium | 33.9 | |
| 189 | Oldenburg Lower Saxony, Germany | 33.9 | |
| 191 | Olpe low-cost sensors North Rhine-Westphalia, Germany | 33.8 | |
| 191 | Friesoythe Lower Saxony, Germany | 33.8 | |
| 191 | Xonacatlán México, Mexico | 33.8 | |
| 191 | Velserbroek North Holland, The Netherlands | 33.8 | |
| 195 | Velsen-Zuid North Holland, The Netherlands | 33.7 | |
| 195 | Banja Luka Srpska, Bosnia and Herzegovina | 33.7 | |
| 197 | Indore Madhya Pradesh, India | 33.6 | |
| 197 | Yuanlin Taiwan, Taiwan | 33.6 | |
| 197 | Jōetsu Niigata, Japan | 33.6 | |
| 200 | Bhāgalpur Bihar, India | 33.5 |
Top 200 of 2,377 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