SmogRank / History / week of March 24, 2025
Most polluted cities, week of March 24, 2025
2,126 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 | Meerut Uttar Pradesh, India | 125.1 | |
| 2 | Saltillo Coahuila, Mexico | 122.4 | |
| 3 | Dera Māndi Delhi, India | 115.4 | |
| 4 | Hājīpur Bihar, India | 114.9 | |
| 5 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 111.3 | |
| 6 | Rourkela Odisha, India | 108.1 | |
| 7 | Narela Delhi, India | 103.7 | |
| 8 | Guwahati Assam, India | 97.8 | |
| 9 | Ghāziābād Uttar Pradesh, India | 92.5 | |
| 10 | Angul Odisha, India | 87.0 | |
| 11 | Gurugram Haryana, India | 86.8 | |
| 12 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 85.4 | |
| 13 | Sasarām Bihar, India | 83.8 | |
| 14 | Lucknow Uttar Pradesh, India | 81.0 | |
| 15 | Dādri Uttar Pradesh, India | 80.5 | |
| 16 | Rānīganj West Bengal, India | 77.5 | |
| 17 | Jalandhar Punjab, India | 77.1 | |
| 18 | Delhi Delhi, India | 72.9 | |
| 19 | Āsansol West Bengal, India | 72.1 | |
| 20 | Muzaffarnagar Uttar Pradesh, India | 70.3 | |
| 21 | Durgapur West Bengal, India | 67.0 | |
| 22 | Najafgarh Delhi, India | 66.1 | |
| 23 | Nagpur Maharashtra, India | 64.6 | |
| 24 | Kolkata West Bengal, India | 64.4 | |
| 25 | Chānda Maharashtra, India | 64.2 | |
| 26 | Barbil Odisha, India | 63.4 | |
| 27 | Nagaon Assam, India | 62.4 | |
| 28 | Hanumāngarh Rajasthan, India | 62.2 | |
| 29 | Singrauli Madhya Pradesh, India | 61.3 | |
| 30 | Cholula Puebla, Mexico | 61.1 | |
| 31 | Sholapur Maharashtra, India | 60.1 | |
| 32 | Patna Bihar, India | 59.2 | |
| 33 | Gangtok Sikkim, India | 58.5 | |
| 34 | Rairangpur Odisha, India | 58.4 | |
| 35 | Keonjhargarh Odisha, India | 58.3 | |
| 36 | Shrīrāmpur West Bengal, India | 58.1 | |
| 37 | Begusarai Bihar, India | 57.7 | |
| 38 | Gummidipundi Tamil Nadu, India | 57.5 | |
| 39 | Latur Maharashtra, India | 57.3 | |
| 40 | Jalgaon Maharashtra, India | 56.9 | |
| 41 | Gwalior Madhya Pradesh, India | 56.4 | |
| 42 | Bhiwandi Maharashtra, India | 56.3 | |
| 43 | Sai Mai low-cost sensors Bangkok, Thailand | 56.2 | |
| 44 | Serilingampalle Telangana, India | 55.2 | |
| 45 | Chandigarh Chandigarh, India | 55.0 | |
| 46 | Byasanagar Odisha, India | 54.9 | |
| 47 | Sri Ganganagar Rajasthan, India | 54.3 | |
| 48 | Bhilai Chhattisgarh, India | 53.9 | |
| 49 | Kharghar Maharashtra, India | 53.2 | |
| 50 | Ankleshwar Gujarat, India | 52.8 | |
| 51 | Ahmedabad Gujarat, India | 52.7 | |
| 52 | Saharsa Bihar, India | 52.6 | |
| 53 | Bettiah Bihar, India | 52.5 | |
| 54 | Kanpur Uttar Pradesh, India | 52.2 | |
| 55 | Nashik Maharashtra, India | 52.0 | |
| 56 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 51.4 | |
| 57 | Tumkūr Karnataka, India | 51.1 | |
| 57 | Mahād Maharashtra, India | 51.1 | |
| 59 | Chāpra Bihar, India | 50.7 | |
| 59 | Bhāgalpur Bihar, India | 50.7 | |
| 61 | Bhiwadi Rajasthan, India | 50.5 | |
| 62 | Kalyān Maharashtra, India | 50.4 | |
| 63 | Patiāla Punjab, India | 50.3 | |
| 63 | Coimbatore Tamil Nadu, India | 50.3 | |
| 65 | Vapi Gujarat, India | 50.1 | |
| 66 | Aurangabad Maharashtra, India | 49.9 | |
| 67 | Bangkok low-cost sensors Bangkok, Thailand | 49.7 | |
| 68 | Arāria Bihar, India | 49.0 | |
| 69 | Badlapur Maharashtra, India | 48.5 | |
| 70 | Baripāda Odisha, India | 48.2 | |
| 71 | Noida Uttar Pradesh, India | 47.6 | |
| 72 | Sawai Madhopur Rajasthan, India | 47.3 | |
| 72 | Chittorgarh Rajasthan, India | 47.3 | |
| 74 | Faridabad Haryana, India | 46.7 | |
| 75 | Shillong Meghalaya, India | 46.5 | |
| 76 | Tirumala Andhra Pradesh, India | 46.3 | |
| 76 | Rishīkesh Uttarakhand, India | 46.3 | |
| 78 | Thāne Maharashtra, India | 46.0 | |
| 79 | Amravati Maharashtra, India | 45.7 | |
| 80 | Bhelai Chhattisgarh, India | 45.0 | |
| 80 | Ajmer Rajasthan, India | 45.0 | |
| 82 | Panvel Maharashtra, India | 44.0 | |
| 83 | Nanded Maharashtra, India | 43.5 | |
| 84 | Dhule Maharashtra, India | 43.3 | |
| 85 | Agra Uttar Pradesh, India | 43.0 | |
| 86 | Hāpur Uttar Pradesh, India | 42.8 | |
| 87 | Pimpri-Chinchwad Maharashtra, India | 42.7 | |
| 88 | Closepet Karnataka, India | 42.5 | |
| 88 | Kota Rajasthan, India | 42.5 | |
| 90 | Gaya Bihar, India | 42.1 | |
| 91 | Otwock Mazovia, Poland | 41.9 | |
| 92 | Vijayawada Andhra Pradesh, India | 41.6 | |
| 92 | Bharatpur Rajasthan, India | 41.6 | |
| 94 | Baddi Himachal Pradesh, India | 41.4 | |
| 95 | Greater Noida Uttar Pradesh, India | 41.3 | |
| 96 | Akola Maharashtra, India | 41.2 | |
| 97 | Mohali Punjab, India | 40.3 | |
| 98 | Kadapa Andhra Pradesh, India | 40.2 | |
| 99 | Parbhani Maharashtra, India | 40.0 | |
| 100 | Bhilwara Rajasthan, India | 39.7 | |
| 101 | Hyderabad Telangana, India | 39.5 | |
| 102 | Jaipur Rajasthan, India | 39.4 | |
| 103 | Istanbul low-cost sensors Istanbul, Turkey | 38.9 | |
| 103 | Bānswāra Rajasthan, India | 38.9 | |
| 105 | Jhālāwār Rajasthan, India | 38.7 | |
| 106 | Yadgir Karnataka, India | 38.6 | |
| 106 | Buxar Bihar, India | 38.6 | |
| 106 | Amaravati Andhra Pradesh, India | 38.6 | |
| 109 | Anantapur Andhra Pradesh, India | 38.3 | |
| 109 | Stodůlky low-cost sensors Prague, Czechia | 38.3 | |
| 111 | Neelankarai Tamil Nadu, India | 38.1 | |
| 112 | Durg Chhattisgarh, India | 38.0 | |
| 112 | Joda Odisha, India | 38.0 | |
| 114 | Prayagraj Uttar Pradesh, India | 37.9 | |
| 115 | Bhubaneswar Odisha, India | 37.0 | |
| 116 | Novi Pazar Central Serbia, Serbia | 36.9 | |
| 116 | Valjevo Central Serbia, Serbia | 36.9 | |
| 118 | Boisar Maharashtra, India | 36.8 | |
| 119 | Dubai low-cost sensors Dubai, United Arab Emirates | 36.4 | |
| 120 | Kłodzko Lower Silesia, Poland | 36.0 | |
| 121 | Jhunjhunūn Rajasthan, India | 35.8 | |
| 121 | Indore Madhya Pradesh, India | 35.8 | |
| 123 | Pune Maharashtra, India | 35.5 | |
| 123 | Bengaluru Karnataka, India | 35.5 | |
| 125 | Tlaquepaque Jalisco, Mexico | 35.3 | |
| 126 | Pratāpgarh Rajasthan, India | 34.7 | |
| 126 | Mumbai Maharashtra, India | 34.7 | |
| 128 | Łask Łódź Voivodeship, Poland | 34.5 | |
| 129 | Quthbullapur Telangana, India | 34.4 | |
| 129 | San Salvador Tizatlalli México, Mexico | 34.4 | |
| 131 | Virār Maharashtra, India | 34.3 | |
| 132 | Włocławek Kujawsko-Pomorskie, Poland | 34.1 | |
| 133 | Chennai Tamil Nadu, India | 33.5 | |
| 133 | Jodhpur Rajasthan, India | 33.5 | |
| 135 | Kalisz Greater Poland, Poland | 33.3 | |
| 136 | Tonk Rajasthan, India | 33.0 | |
| 136 | Victoria de Durango Durango, Mexico | 33.0 | |
| 138 | Hacienda Santa Fe Jalisco, Mexico | 32.8 | |
| 139 | Morādābād Uttar Pradesh, India | 32.4 | |
| 140 | Rasapūdipalem Andhra Pradesh, India | 32.3 | |
| 141 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 32.2 | |
| 141 | Haldia West Bengal, India | 32.2 | |
| 143 | Chūru Rajasthan, India | 32.1 | |
| 144 | Tirupparangunram Tamil Nadu, India | 31.9 | |
| 144 | Jastrzębie Zdrój Silesia, Poland | 31.9 | |
| 146 | Bielsko-Biala Silesia, Poland | 31.7 | |
| 147 | Żywiec Silesia, Poland | 31.5 | |
| 148 | Łódź Łódź Voivodeship, Poland | 31.4 | |
| 149 | Poznań Greater Poland, Poland | 31.3 | |
| 150 | Rājgīr Bihar, India | 31.2 | |
| 151 | Dausa Rajasthan, India | 30.7 | |
| 152 | Rājsamand Rajasthan, India | 30.3 | |
| 153 | Nāgaur Rajasthan, India | 30.1 | |
| 154 | Dhaulpur Rajasthan, India | 30.0 | |
| 155 | Żyrardów Mazovia, Poland | 29.8 | |
| 156 | Sīkar Rajasthan, India | 29.6 | |
| 156 | Dūngarpur Rajasthan, India | 29.6 | |
| 158 | Cuttack Odisha, India | 29.5 | |
| 159 | San Luis de la Paz Guanajuato, Mexico | 29.4 | |
| 160 | Radom Mazovia, Poland | 29.2 | |
| 160 | Wadgaon Kolhati Maharashtra, India | 29.2 | |
| 162 | Kolhāpur Maharashtra, India | 29.1 | |
| 163 | Būndi Rajasthan, India | 28.9 | |
| 163 | Toruń Kujawsko-Pomorskie, Poland | 28.9 | |
| 165 | Dębica Subcarpathia, Poland | 28.4 | |
| 166 | Rzeszów Subcarpathia, Poland | 28.3 | |
| 167 | Saugor Madhya Pradesh, India | 27.7 | |
| 167 | Ciudad Nezahualcoyotl México, Mexico | 27.7 | |
| 169 | Czechowice-Dziedzice Silesia, Poland | 27.6 | |
| 170 | Pruszków Mazovia, Poland | 27.4 | |
| 171 | Legionowo Mazovia, Poland | 27.3 | |
| 172 | Wrocław Lower Silesia, Poland | 27.0 | |
| 173 | Lublin Lublin, Poland | 26.8 | |
| 173 | Radomsko Łódź Voivodeship, Poland | 26.8 | |
| 173 | Irapuato Guanajuato, Mexico | 26.8 | |
| 176 | Jabalpur Madhya Pradesh, India | 26.5 | |
| 176 | Bārān Rajasthan, India | 26.5 | |
| 176 | Ciudad Juárez Chihuahua, Mexico | 26.5 | |
| 179 | Augustów Podlasie, Poland | 26.2 | |
| 180 | Obrenovac Central Serbia, Serbia | 26.1 | |
| 181 | Zamość Lublin, Poland | 25.9 | |
| 181 | Perundurai Tamil Nadu, India | 25.9 | |
| 181 | Bikaner Rajasthan, India | 25.9 | |
| 184 | Tehuacán Puebla, Mexico | 25.8 | |
| 184 | Apizaco Tlaxcala, Mexico | 25.8 | |
| 184 | Guadalajara Jalisco, Mexico | 25.8 | |
| 187 | Houthalen Flanders, Belgium | 25.6 | |
| 187 | Katowice Silesia, Poland | 25.6 | |
| 189 | Jarosław Subcarpathia, Poland | 25.2 | |
| 189 | Menen Flanders, Belgium | 25.2 | |
| 191 | Tarnów Lesser Poland, Poland | 25.0 | |
| 191 | Jelenia Góra Lower Silesia, Poland | 25.0 | |
| 191 | Elbląg Warmia-Masuria, Poland | 25.0 | |
| 191 | Mixquiahuala de Juárez Hidalgo, Mexico | 25.0 | |
| 195 | Jaisalmer Rajasthan, India | 24.9 | |
| 195 | Kraków Lesser Poland, Poland | 24.9 | |
| 197 | Jalor Rajasthan, India | 24.7 | |
| 197 | Lochristi Flanders, Belgium | 24.7 | |
| 197 | Opole Opole Voivodeship, Poland | 24.7 | |
| 200 | Bydgoszcz Kujawsko-Pomorskie, Poland | 24.5 |
Top 200 of 2,126 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