Most polluted cities, 2025
2,077 cities ranked by their average PM2.5 over the 365 days. A city needs measurements on 70% of the days to be ranked.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Narela Delhi, India | 102.8 | |
| 2 | Delhi Delhi, India | 94.1 | |
| 3 | Ghāziābād Uttar Pradesh, India | 87.9 | |
| 4 | Dādri Uttar Pradesh, India | 87.7 | |
| 5 | Noida Uttar Pradesh, India | 87.1 | |
| 6 | Najafgarh Delhi, India | 74.2 | |
| 6 | Bhiwadi Rajasthan, India | 74.2 | |
| 8 | Muzaffarnagar Uttar Pradesh, India | 70.8 | |
| 9 | Greater Noida Uttar Pradesh, India | 69.3 | |
| 10 | Hāpur Uttar Pradesh, India | 68.4 | |
| 11 | Gummidipundi Tamil Nadu, India | 68.3 | |
| 12 | Dushanbe Dushanbe, Tajikistan | 66.6 | |
| 13 | Hājīpur Bihar, India | 65.8 | |
| 14 | Lucknow Uttar Pradesh, India | 57.6 | |
| 15 | Baddi Himachal Pradesh, India | 56.5 | |
| 16 | Rourkela Odisha, India | 56.4 | |
| 17 | Sri Ganganagar Rajasthan, India | 56.2 | |
| 18 | Angul Odisha, India | 55.3 | |
| 19 | Gwalior Madhya Pradesh, India | 55.0 | |
| 20 | Stodůlky low-cost sensors Prague, Czechia | 53.3 | |
| 21 | Tonk Rajasthan, India | 51.6 | |
| 22 | Jaipur Rajasthan, India | 48.6 | |
| 22 | Dhaulpur Rajasthan, India | 48.6 | |
| 24 | Rasapūdipalem Andhra Pradesh, India | 48.4 | |
| 24 | Kolkata West Bengal, India | 48.4 | |
| 26 | Hanumāngarh Rajasthan, India | 47.8 | |
| 27 | Jalandhar Punjab, India | 46.7 | |
| 28 | Rānīganj West Bengal, India | 46.4 | |
| 29 | Chandigarh Chandigarh, India | 45.8 | |
| 30 | Patna Bihar, India | 45.6 | |
| 30 | Ahmedabad Gujarat, India | 45.6 | |
| 32 | Sīkar Rajasthan, India | 45.3 | |
| 32 | Barbil Odisha, India | 45.3 | |
| 34 | Cuttack Odisha, India | 44.7 | |
| 35 | Kota Rajasthan, India | 43.5 | |
| 36 | Kanpur Uttar Pradesh, India | 43.3 | |
| 36 | Joda Odisha, India | 43.3 | |
| 38 | Nagpur Maharashtra, India | 43.0 | |
| 39 | Jalgaon Maharashtra, India | 42.9 | |
| 40 | Neelankarai Tamil Nadu, India | 42.6 | |
| 41 | Kalyān Maharashtra, India | 42.5 | |
| 42 | Chūru Rajasthan, India | 42.4 | |
| 43 | Ajmer Rajasthan, India | 42.2 | |
| 44 | Bhilwara Rajasthan, India | 41.4 | |
| 45 | Karauli Rajasthan, India | 41.2 | |
| 46 | Saugor Madhya Pradesh, India | 41.0 | |
| 46 | Ankleshwar Gujarat, India | 41.0 | |
| 48 | Bhiwandi Maharashtra, India | 40.9 | |
| 49 | Gandhinagar Gujarat, India | 40.8 | |
| 49 | Chittorgarh Rajasthan, India | 40.8 | |
| 51 | Byasanagar Odisha, India | 40.6 | |
| 52 | Bikaner Rajasthan, India | 40.5 | |
| 53 | Bhubaneswar Odisha, India | 40.4 | |
| 54 | Patiāla Punjab, India | 40.2 | |
| 55 | Badlapur Maharashtra, India | 40.1 | |
| 56 | Bhelai Chhattisgarh, India | 39.8 | |
| 56 | Āsansol West Bengal, India | 39.8 | |
| 58 | Anantapur Andhra Pradesh, India | 39.7 | |
| 58 | Kharghar Maharashtra, India | 39.7 | |
| 60 | Baripāda Odisha, India | 39.6 | |
| 61 | Shrīrāmpur West Bengal, India | 39.1 | |
| 62 | Nāgaur Rajasthan, India | 39.0 | |
| 62 | Jhunjhunūn Rajasthan, India | 39.0 | |
| 64 | Dubai low-cost sensors Dubai, United Arab Emirates | 38.8 | |
| 64 | Dausa Rajasthan, India | 38.8 | |
| 66 | Mumbai Maharashtra, India | 38.6 | |
| 67 | Panvel Maharashtra, India | 38.3 | |
| 68 | Bānswāra Rajasthan, India | 38.1 | |
| 69 | Morādābād Uttar Pradesh, India | 37.9 | |
| 69 | Serilingampalle Telangana, India | 37.9 | |
| 71 | Jhālāwār Rajasthan, India | 37.7 | |
| 72 | Gaya Bihar, India | 37.4 | |
| 73 | Durgapur West Bengal, India | 37.3 | |
| 74 | Būndi Rajasthan, India | 37.2 | |
| 74 | Pimpri-Chinchwad Maharashtra, India | 37.2 | |
| 76 | Pune Maharashtra, India | 36.9 | |
| 77 | Haldia West Bengal, India | 36.8 | |
| 78 | Vijayawada Andhra Pradesh, India | 36.6 | |
| 79 | Dūngarpur Rajasthan, India | 36.5 | |
| 80 | Nanded Maharashtra, India | 36.4 | |
| 81 | Nashik Maharashtra, India | 36.2 | |
| 82 | Bharatpur Rajasthan, India | 36.1 | |
| 83 | Sawai Madhopur Rajasthan, India | 35.7 | |
| 83 | Prayagraj Uttar Pradesh, India | 35.7 | |
| 83 | Agra Uttar Pradesh, India | 35.7 | |
| 86 | Bhopal Madhya Pradesh, India | 35.6 | |
| 87 | Hyderabad Telangana, India | 35.4 | |
| 88 | Mahād Maharashtra, India | 35.3 | |
| 89 | Jalor Rajasthan, India | 35.0 | |
| 90 | Aurangabad Maharashtra, India | 34.3 | |
| 91 | Vereeniging low-cost sensors Gauteng, South Africa | 34.2 | |
| 92 | Tirumala Andhra Pradesh, India | 33.5 | |
| 93 | Jodhpur Rajasthan, India | 33.4 | |
| 94 | Banja Luka Srpska, Bosnia and Herzegovina | 33.3 | |
| 95 | Akola Maharashtra, India | 33.1 | |
| 96 | Thāne Maharashtra, India | 33.0 | |
| 96 | Latur Maharashtra, India | 33.0 | |
| 98 | Chānda Maharashtra, India | 32.6 | |
| 98 | Boisar Maharashtra, India | 32.6 | |
| 100 | Jaisalmer Rajasthan, India | 32.4 | |
| 101 | Sholapur Maharashtra, India | 32.2 | |
| 101 | Amravati Maharashtra, India | 32.2 | |
| 103 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 31.9 | |
| 104 | Coimbatore Tamil Nadu, India | 31.5 | |
| 105 | Bārān Rajasthan, India | 31.4 | |
| 106 | Yerevan low-cost sensors Yerevan, Armenia | 31.2 | |
| 106 | Rājsamand Rajasthan, India | 31.2 | |
| 106 | Chennai Tamil Nadu, India | 31.2 | |
| 109 | Virār Maharashtra, India | 31.0 | |
| 110 | Pratāpgarh Rajasthan, India | 30.9 | |
| 111 | Bengaluru Karnataka, India | 30.7 | |
| 112 | Istanbul low-cost sensors Istanbul, Turkey | 30.3 | |
| 112 | Kolhāpur Maharashtra, India | 30.3 | |
| 114 | Amaravati Andhra Pradesh, India | 29.5 | |
| 115 | Keonjhargarh Odisha, India | 29.3 | |
| 116 | Nandri Rajasthan, India | 29.1 | |
| 117 | Jabalpur Madhya Pradesh, India | 28.9 | |
| 118 | Bhayandar Maharashtra, India | 28.4 | |
| 119 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 27.7 | |
| 120 | Guwahati Assam, India | 27.5 | |
| 121 | Bārmer Rajasthan, India | 27.3 | |
| 122 | Tlaquepaque Jalisco, Mexico | 27.0 | |
| 122 | Calexico California, United States | 27.0 | |
| 124 | Żywiec Silesia, Poland | 26.8 | |
| 125 | Indore Madhya Pradesh, India | 26.6 | |
| 126 | Sirohi Rajasthan, India | 26.0 | |
| 127 | Wan Chai Wan Chai, Hong Kong | 23.3 | |
| 128 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 22.9 | |
| 129 | Zagreb low-cost sensors Zagreb, Croatia | 22.5 | |
| 130 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 22.4 | |
| 131 | Accra low-cost sensors Greater Accra, Ghana | 22.3 | |
| 131 | Bielsko-Biala Silesia, Poland | 22.3 | |
| 131 | Puebla Puebla, Mexico | 22.3 | |
| 134 | Belgrade Central Serbia, Serbia | 21.9 | |
| 135 | Raipur Chhattisgarh, India | 21.8 | |
| 136 | Ciudad Benito Juárez Nuevo León, Mexico | 21.7 | |
| 136 | Sai Mai low-cost sensors Bangkok, Thailand | 21.7 | |
| 138 | Dej Cluj County, Romania | 21.6 | |
| 138 | Otwock Mazovia, Poland | 21.6 | |
| 140 | Perundurai Tamil Nadu, India | 21.4 | |
| 141 | Bangkok low-cost sensors Bangkok, Thailand | 21.3 | |
| 141 | Fengshan Takao, Taiwan | 21.3 | |
| 143 | Łask Łódź Voivodeship, Poland | 21.2 | |
| 143 | Kalisz Greater Poland, Poland | 21.2 | |
| 145 | Naucalpan de Juárez México, Mexico | 21.1 | |
| 146 | Hubballi Karnataka, India | 21.0 | |
| 147 | Aguascalientes Aguascalientes, Mexico | 20.1 | |
| 148 | Jastrzębie Zdrój Silesia, Poland | 19.8 | |
| 149 | Kaohsiung Takao, Taiwan | 19.3 | |
| 150 | Augustów Podlasie, Poland | 19.2 | |
| 150 | Tuen Mun Tuen Mun, Hong Kong | 19.2 | |
| 152 | Douliu Taiwan, Taiwan | 19.1 | |
| 152 | Kłodzko Lower Silesia, Poland | 19.1 | |
| 152 | Mexico City Mexico City, Mexico | 19.1 | |
| 155 | Codlea Brașov County, Romania | 19.0 | |
| 156 | Shivamogga Karnataka, India | 18.9 | |
| 157 | Włocławek Kujawsko-Pomorskie, Poland | 18.8 | |
| 158 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 18.6 | |
| 158 | Durg Chhattisgarh, India | 18.6 | |
| 158 | Erlun Taiwan, Taiwan | 18.6 | |
| 158 | Iloilo low-cost sensors Western Visayas, Philippines | 18.6 | |
| 158 | Poznań Greater Poland, Poland | 18.6 | |
| 158 | Ourense Galicia, Spain | 18.6 | |
| 164 | Kalaburagi Karnataka, India | 18.5 | |
| 165 | Madikeri Karnataka, India | 18.4 | |
| 165 | Radomsko Łódź Voivodeship, Poland | 18.4 | |
| 167 | Chaozhou Taiwan, Taiwan | 18.3 | |
| 167 | Czechowice-Dziedzice Silesia, Poland | 18.3 | |
| 169 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 18.2 | |
| 169 | Łódź Łódź Voivodeship, Poland | 18.2 | |
| 171 | Agartala Tripura, India | 18.0 | |
| 172 | Tainan Taiwan, Taiwan | 17.9 | |
| 173 | Yongkang Taiwan, Taiwan | 17.8 | |
| 174 | Wrocław Lower Silesia, Poland | 17.7 | |
| 174 | León de los Aldama Guanajuato, Mexico | 17.7 | |
| 174 | Irapuato Guanajuato, Mexico | 17.7 | |
| 177 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 17.6 | |
| 178 | Kraków Lesser Poland, Poland | 17.5 | |
| 179 | Mixquiahuala de Juárez Hidalgo, Mexico | 17.4 | |
| 179 | Ciudad Juárez Chihuahua, Mexico | 17.4 | |
| 181 | Nisko Subcarpathia, Poland | 17.3 | |
| 181 | Yuanlin Taiwan, Taiwan | 17.3 | |
| 183 | Radom Mazovia, Poland | 17.2 | |
| 183 | Lublin Lublin, Poland | 17.2 | |
| 185 | Xinying Taiwan, Taiwan | 17.1 | |
| 185 | Monterrey Nuevo León, Mexico | 17.1 | |
| 187 | Toruń Kujawsko-Pomorskie, Poland | 17.0 | |
| 188 | Beigang Taiwan, Taiwan | 16.9 | |
| 189 | Zhushan Taiwan, Taiwan | 16.8 | |
| 190 | San Tung Chung Hang Islands, Hong Kong | 16.7 | |
| 191 | Tin Shui Wai Yuen Long, Hong Kong | 16.6 | |
| 192 | Salamanca Guanajuato, Mexico | 16.5 | |
| 193 | Zamość Lublin, Poland | 16.4 | |
| 193 | Kielce Świętokrzyskie, Poland | 16.4 | |
| 193 | Dębica Subcarpathia, Poland | 16.4 | |
| 193 | Celaya Guanajuato, Mexico | 16.4 | |
| 197 | Pruszków Mazovia, Poland | 16.3 | |
| 197 | Shillong Meghalaya, India | 16.3 | |
| 197 | Manlleu Catalonia, Spain | 16.3 | |
| 200 | Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary | 16.2 |
Top 200 of 2,077 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