SmogRank / History / March 21, 2026
Most polluted cities on March 21, 2026
2,292 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 | 188.5 | |
| 2 | Faridabad Haryana, India | 120.7 | |
| 3 | Gurugram Haryana, India | 116.0 | |
| 4 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 110.0 | |
| 5 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 105.0 | |
| 6 | Panvel Maharashtra, India | 89.9 | |
| 7 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 80.7 | |
| 8 | Dādri Uttar Pradesh, India | 77.4 | |
| 9 | Noida Uttar Pradesh, India | 75.4 | |
| 10 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 74.7 | |
| 11 | Sonīpat Haryana, India | 73.9 | |
| 12 | Burunday low-cost sensors Almaty Region, Kazakhstan | 72.4 | |
| 13 | Undera Gujarat, India | 70.8 | |
| 14 | Dhāruhera Haryana, India | 69.0 | |
| 15 | Mahād Maharashtra, India | 68.5 | |
| 16 | Multan low-cost sensors Punjab, Pakistan | 68.0 | |
| 17 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 65.5 | |
| 18 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 64.5 | |
| 19 | Greater Noida Uttar Pradesh, India | 62.8 | |
| 20 | Łask Łódź Voivodeship, Poland | 62.3 | |
| 21 | Delhi Delhi, India | 61.2 | |
| 22 | Bahadurgarh Haryana, India | 59.4 | |
| 23 | Bhiwadi Rajasthan, India | 59.0 | |
| 24 | Narela Delhi, India | 58.4 | |
| 25 | Talghar low-cost sensors Almaty Region, Kazakhstan | 57.2 | |
| 26 | Gummidipundi Tamil Nadu, India | 57.0 | |
| 27 | Bahawalpur low-cost sensors Punjab, Pakistan | 56.4 | |
| 28 | Dausa Rajasthan, India | 55.4 | |
| 29 | Nagaon Assam, India | 54.8 | |
| 30 | Dhaulpur Rajasthan, India | 54.6 | |
| 31 | Ahmedabad Gujarat, India | 52.0 | |
| 32 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 51.6 | |
| 33 | Kharghar Maharashtra, India | 51.2 | |
| 34 | Manchester low-cost sensors England, United Kingdom | 51.0 | |
| 35 | Bhelai Chhattisgarh, India | 49.7 | |
| 36 | Lahore low-cost sensors Punjab, Pakistan | 49.3 | |
| 36 | Almaty low-cost sensors Almaty, Kazakhstan | 49.3 | |
| 38 | Ambāla Haryana, India | 49.1 | |
| 39 | Pimpri-Chinchwad Maharashtra, India | 47.5 | |
| 40 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 47.3 | |
| 41 | Birmingham low-cost sensors England, United Kingdom | 46.8 | |
| 42 | Macon Georgia, United States | 46.7 | |
| 43 | Uttaradit low-cost sensors Uttaradit, Thailand | 46.6 | |
| 44 | Ankleshwar Gujarat, India | 46.4 | |
| 45 | Singrauli Madhya Pradesh, India | 45.9 | |
| 46 | Rennes Brittany, France | 45.5 | |
| 47 | Anantapur Andhra Pradesh, India | 45.3 | |
| 48 | Muzaffarnagar Uttar Pradesh, India | 45.1 | |
| 49 | Kadapa Andhra Pradesh, India | 44.7 | |
| 50 | Kalyān Maharashtra, India | 44.1 | |
| 51 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 43.5 | |
| 52 | Nalbāri Assam, India | 42.7 | |
| 53 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 42.0 | |
| 54 | Bāghpat Uttar Pradesh, India | 41.9 | |
| 55 | Ghāziābād Uttar Pradesh, India | 41.8 | |
| 55 | Chartres Centre-Val de Loire, France | 41.8 | |
| 57 | Shivamogga Karnataka, India | 41.6 | |
| 58 | Kathmandu low-cost sensors Bagmati Province, Nepal | 41.5 | |
| 58 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 41.5 | |
| 60 | Malegaon Maharashtra, India | 40.9 | |
| 61 | Stodůlky low-cost sensors Prague, Czechia | 40.5 | |
| 62 | Vannes Brittany, France | 40.3 | |
| 63 | Faisalabad low-cost sensors Punjab, Pakistan | 40.2 | |
| 64 | Angul Odisha, India | 39.9 | |
| 65 | Bhiwāni Haryana, India | 39.5 | |
| 66 | Říčany low-cost sensors Central Bohemia, Czechia | 39.4 | |
| 67 | Lucknow Uttar Pradesh, India | 39.3 | |
| 68 | Quimper Brittany, France | 39.2 | |
| 69 | Augusta Georgia, United States | 39.1 | |
| 70 | Najafgarh Delhi, India | 39.0 | |
| 71 | Rambouillet Île-de-France, France | 38.9 | |
| 71 | Baddi Himachal Pradesh, India | 38.9 | |
| 73 | Târgu Mureş low-cost sensors Mureș County, Romania | 38.8 | |
| 73 | Kota Rajasthan, India | 38.8 | |
| 73 | South Lake Tahoe California, United States | 38.8 | |
| 77 | Karnāl Haryana, India | 38.5 | |
| 78 | Jaipur Rajasthan, India | 38.4 | |
| 79 | Hājīpur Bihar, India | 38.0 | |
| 80 | Radomsko Łódź Voivodeship, Poland | 37.9 | |
| 81 | Vijayawada Andhra Pradesh, India | 37.6 | |
| 82 | Lorient Brittany, France | 37.4 | |
| 82 | Sai Mai low-cost sensors Bangkok, Thailand | 37.4 | |
| 84 | Gandhinagar Gujarat, India | 37.3 | |
| 85 | Tirupati Andhra Pradesh, India | 37.1 | |
| 86 | Delano low-cost sensors California, United States | 37.0 | |
| 87 | Chānda Maharashtra, India | 36.7 | |
| 88 | Żary Lubusz, Poland | 36.6 | |
| 88 | Tlaquepaque Jalisco, Mexico | 36.6 | |
| 90 | Pune Maharashtra, India | 36.5 | |
| 91 | Otwock Mazovia, Poland | 36.3 | |
| 92 | Ajmer Rajasthan, India | 36.2 | |
| 93 | Jalgaon Maharashtra, India | 35.9 | |
| 93 | Paris Île-de-France, France | 35.9 | |
| 93 | Orléans Centre-Val de Loire, France | 35.9 | |
| 96 | Étampes Île-de-France, France | 35.8 | |
| 97 | Gwalior Madhya Pradesh, India | 35.7 | |
| 97 | Brest Brittany, France | 35.7 | |
| 99 | Kalisz Greater Poland, Poland | 35.6 | |
| 100 | Chūru Rajasthan, India | 35.5 | |
| 100 | Coulommiers Île-de-France, France | 35.5 | |
| 102 | Zeitz Saxony-Anhalt, Germany | 35.4 | |
| 102 | Tulare low-cost sensors California, United States | 35.4 | |
| 104 | Albany Georgia, United States | 35.3 | |
| 105 | Nashik Maharashtra, India | 35.2 | |
| 105 | Tralee Munster, Ireland | 35.2 | |
| 105 | Alençon Normandy, France | 35.2 | |
| 108 | Wexford Leinster, Ireland | 34.8 | |
| 109 | Bhiwandi Maharashtra, India | 34.6 | |
| 110 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 34.5 | |
| 111 | Sholapur Maharashtra, India | 34.4 | |
| 111 | Bikaner Rajasthan, India | 34.4 | |
| 111 | Speyer Rheinland-Pfalz, Germany | 34.4 | |
| 114 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 34.3 | |
| 114 | Tours Centre-Val de Loire, France | 34.3 | |
| 114 | Blois Centre-Val de Loire, France | 34.3 | |
| 117 | Columbus Georgia, United States | 34.1 | |
| 118 | Winterthur low-cost sensors Zurich, Switzerland | 34.0 | |
| 119 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 33.9 | |
| 119 | Dublin Leinster, Ireland | 33.9 | |
| 121 | Louviers Normandy, France | 33.6 | |
| 122 | Ludwigshafen am Rhein Rheinland-Pfalz, Germany | 33.5 | |
| 122 | Drogheda Leinster, Ireland | 33.5 | |
| 124 | Évreux Normandy, France | 33.4 | |
| 125 | Chittorgarh Rajasthan, India | 33.1 | |
| 125 | Bijelo Polje Bijelo Polje, Montenegro | 33.1 | |
| 127 | Joué-lès-Tours Centre-Val de Loire, France | 33.0 | |
| 128 | Dhule Maharashtra, India | 32.9 | |
| 129 | Dreux Centre-Val de Loire, France | 32.6 | |
| 130 | Carlow Leinster, Ireland | 32.5 | |
| 131 | Fengshan Takao, Taiwan | 32.3 | |
| 132 | Akola Maharashtra, India | 32.2 | |
| 133 | Yamuna Nagar Haryana, India | 32.1 | |
| 134 | Hāpur Uttar Pradesh, India | 32.0 | |
| 134 | Bangkok low-cost sensors Bangkok, Thailand | 32.0 | |
| 136 | Yadgir Karnataka, India | 31.8 | |
| 136 | Bernburg Saxony-Anhalt, Germany | 31.8 | |
| 138 | Pljevlja Pljevlja, Montenegro | 31.7 | |
| 139 | Thānesar Haryana, India | 31.6 | |
| 139 | Chandigarh Chandigarh, India | 31.6 | |
| 141 | Surat Gujarat, India | 31.2 | |
| 141 | Rourkela Odisha, India | 31.2 | |
| 141 | Ludwigsburg Baden-Wurttemberg, Germany | 31.2 | |
| 141 | Victoria de Durango Durango, Mexico | 31.2 | |
| 145 | Niš Central Serbia, Serbia | 31.1 | |
| 145 | Heilbronn Baden-Wurttemberg, Germany | 31.1 | |
| 147 | Islamabad low-cost sensors Islamabad, Pakistan | 31.0 | |
| 147 | Bitterfeld-Wolfen Saxony-Anhalt, Germany | 31.0 | |
| 149 | Rawalpindi low-cost sensors Punjab, Pakistan | 30.9 | |
| 149 | Heidelberg Baden-Wurttemberg, Germany | 30.9 | |
| 149 | Banja Luka Srpska, Bosnia and Herzegovina | 30.9 | |
| 152 | Greystones Leinster, Ireland | 30.8 | |
| 152 | Zagreb low-cost sensors Zagreb, Croatia | 30.8 | |
| 154 | Karlsruhe Baden-Wurttemberg, Germany | 30.7 | |
| 154 | Creil Hauts-de-France, France | 30.7 | |
| 156 | Dessau Saxony-Anhalt, Germany | 30.6 | |
| 156 | Bad Kreuznach Rheinland-Pfalz, Germany | 30.6 | |
| 156 | Rouen Normandy, France | 30.6 | |
| 159 | Mannheim Baden-Wurttemberg, Germany | 30.5 | |
| 160 | Badlapur Maharashtra, India | 30.4 | |
| 160 | Tuxtla Chiapas, Mexico | 30.4 | |
| 162 | Valdosta Georgia, United States | 30.3 | |
| 163 | Sīkar Rajasthan, India | 30.2 | |
| 163 | Montargis Centre-Val de Loire, France | 30.2 | |
| 165 | Tirumala Andhra Pradesh, India | 30.1 | |
| 165 | Füssen low-cost sensors Bavaria, Germany | 30.1 | |
| 167 | Saint Andrews South Carolina, United States | 30.0 | |
| 167 | Wittenberg Saxony-Anhalt, Germany | 30.0 | |
| 169 | Jammu low-cost sensors Jammu and Kashmir, India | 29.9 | |
| 169 | Leixlip Leinster, Ireland | 29.9 | |
| 171 | Bhilwara Rajasthan, India | 29.8 | |
| 171 | Weißenfels Saxony-Anhalt, Germany | 29.8 | |
| 171 | Warner Robins Georgia, United States | 29.8 | |
| 174 | Strasbourg Grand Est, France | 29.7 | |
| 175 | Ulm Baden-Wurttemberg, Germany | 29.5 | |
| 175 | Luckenwalde Brandenburg, Germany | 29.5 | |
| 177 | Zhushan Taiwan, Taiwan | 29.4 | |
| 177 | Blankenfelde-Mahlow Brandenburg, Germany | 29.4 | |
| 179 | Sawai Madhopur Rajasthan, India | 29.3 | |
| 179 | Győr Győr-Moson-Sopron, Hungary | 29.3 | |
| 181 | Boisar Maharashtra, India | 29.2 | |
| 181 | Schwäbisch Hall Baden-Wurttemberg, Germany | 29.2 | |
| 181 | Erfurt Thuringia, Germany | 29.2 | |
| 181 | Beauvais Hauts-de-France, France | 29.2 | |
| 185 | Olpe low-cost sensors North Rhine-Westphalia, Germany | 29.1 | |
| 185 | Naas Leinster, Ireland | 29.1 | |
| 187 | Serilingampalle Telangana, India | 29.0 | |
| 188 | Latur Maharashtra, India | 28.9 | |
| 188 | Athlone Leinster, Ireland | 28.9 | |
| 190 | Zamość Lublin, Poland | 28.8 | |
| 190 | Munich Bavaria, Germany | 28.8 | |
| 190 | Altenburg Thuringia, Germany | 28.8 | |
| 190 | Reims Grand Est, France | 28.8 | |
| 194 | Weimar Thuringia, Germany | 28.7 | |
| 194 | Cluain Meala Munster, Ireland | 28.7 | |
| 196 | Tonk Rajasthan, India | 28.6 | |
| 196 | Worms Rheinland-Pfalz, Germany | 28.6 | |
| 196 | Naharlagun Arunachal Pradesh, India | 28.6 | |
| 199 | Kolhāpur Maharashtra, India | 28.5 | |
| 199 | Kehl Baden-Wurttemberg, Germany | 28.5 |
Top 200 of 2,292 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