SmogRank / History / week of March 30, 2026
Most polluted cities, week of March 30, 2026
2,304 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 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 160.2 | |
| 2 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 122.4 | |
| 3 | Changchun low-cost sensors Jilin, China | 112.9 | |
| 4 | Gurugram Haryana, India | 108.9 | |
| 5 | Faridabad Haryana, India | 96.6 | |
| 6 | Dādri Uttar Pradesh, India | 88.1 | |
| 7 | Uttaradit low-cost sensors Uttaradit, Thailand | 88.0 | |
| 8 | Bhiwāni Haryana, India | 81.6 | |
| 9 | Joda Odisha, India | 79.4 | |
| 10 | Arāria Bihar, India | 74.9 | |
| 11 | Sonīpat Haryana, India | 73.5 | |
| 12 | Hājīpur Bihar, India | 71.1 | |
| 13 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 68.4 | |
| 14 | Narela Delhi, India | 68.0 | |
| 15 | Kampala low-cost sensors Central Region, Uganda | 67.0 | |
| 16 | Singrauli Madhya Pradesh, India | 66.2 | |
| 17 | Yamuna Nagar Haryana, India | 64.6 | |
| 18 | Noida Uttar Pradesh, India | 64.3 | |
| 19 | Delhi Delhi, India | 58.5 | |
| 20 | Kathmandu low-cost sensors Bagmati Province, Nepal | 57.5 | |
| 21 | Bhelai Chhattisgarh, India | 57.0 | |
| 22 | Bhiwadi Rajasthan, India | 56.9 | |
| 23 | Hāpur Uttar Pradesh, India | 56.2 | |
| 24 | Jīnd Haryana, India | 56.0 | |
| 25 | Faisalabad low-cost sensors Punjab, Pakistan | 55.1 | |
| 26 | Angul Odisha, India | 54.8 | |
| 27 | Barbil Odisha, India | 53.5 | |
| 28 | Ghāziābād Uttar Pradesh, India | 53.4 | |
| 29 | Mangaluru Karnataka, India | 52.6 | |
| 30 | Dhāruhera Haryana, India | 51.4 | |
| 31 | Ambāla Haryana, India | 51.1 | |
| 32 | Karnāl Haryana, India | 50.9 | |
| 33 | Greater Noida Uttar Pradesh, India | 50.5 | |
| 34 | Sirsa Haryana, India | 49.4 | |
| 35 | Muzaffarnagar Uttar Pradesh, India | 49.3 | |
| 36 | Jharia Jharkhand, India | 48.9 | |
| 37 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 48.3 | |
| 38 | Byasanagar Odisha, India | 48.1 | |
| 39 | Keonjhargarh Odisha, India | 47.4 | |
| 40 | Gummidipundi Tamil Nadu, India | 47.3 | |
| 41 | Jaipur Rajasthan, India | 46.6 | |
| 42 | Jalgaon Maharashtra, India | 46.0 | |
| 43 | Najafgarh Delhi, India | 45.8 | |
| 44 | Baddi Himachal Pradesh, India | 45.4 | |
| 45 | Rourkela Odisha, India | 45.1 | |
| 46 | Kadapa Andhra Pradesh, India | 45.0 | |
| 47 | Bāghpat Uttar Pradesh, India | 44.3 | |
| 48 | Meerut Uttar Pradesh, India | 44.2 | |
| 49 | Burunday low-cost sensors Almaty Region, Kazakhstan | 44.1 | |
| 50 | Thānesar Haryana, India | 43.9 | |
| 51 | Undera Gujarat, India | 42.6 | |
| 52 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 42.3 | |
| 53 | Chūru Rajasthan, India | 42.1 | |
| 54 | Phuntsholing low-cost sensors Chukha, Bhutan | 41.7 | |
| 55 | Lucknow Uttar Pradesh, India | 41.4 | |
| 56 | Siwān Bihar, India | 41.3 | |
| 56 | Patna Bihar, India | 41.3 | |
| 56 | Baripāda Odisha, India | 41.3 | |
| 59 | Bahawalpur low-cost sensors Punjab, Pakistan | 41.1 | |
| 60 | Kaithal Haryana, India | 41.0 | |
| 61 | Sukuta low-cost sensors Western, Gambia | 40.9 | |
| 62 | Lahore low-cost sensors Punjab, Pakistan | 40.1 | |
| 63 | Gwalior Madhya Pradesh, India | 38.4 | |
| 64 | Durgapur West Bengal, India | 38.3 | |
| 65 | Vijayawada Andhra Pradesh, India | 37.6 | |
| 66 | Agartala Tripura, India | 37.5 | |
| 67 | Nagpur Maharashtra, India | 36.9 | |
| 68 | Sholapur Maharashtra, India | 36.5 | |
| 68 | Panchkula Haryana, India | 36.5 | |
| 70 | Gujranwala low-cost sensors Punjab, Pakistan | 36.2 | |
| 71 | Talghar low-cost sensors Almaty Region, Kazakhstan | 35.5 | |
| 72 | Chānda Maharashtra, India | 35.4 | |
| 73 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 35.3 | |
| 74 | Khlong Luang low-cost sensors Pathum Thani, Thailand | 35.1 | |
| 75 | Indore Madhya Pradesh, India | 34.9 | |
| 76 | Chittoor Andhra Pradesh, India | 34.8 | |
| 77 | San Luis Potosí San Luis Potosí, Mexico | 34.7 | |
| 78 | Ajmer Rajasthan, India | 34.0 | |
| 79 | Yadgir Karnataka, India | 33.7 | |
| 80 | Łask Łódź Voivodeship, Poland | 33.6 | |
| 80 | Tuxtla Chiapas, Mexico | 33.6 | |
| 82 | Rawalpindi low-cost sensors Punjab, Pakistan | 33.5 | |
| 82 | Thāne Maharashtra, India | 33.5 | |
| 84 | Tirumala Andhra Pradesh, India | 33.4 | |
| 85 | Târgu Mureş low-cost sensors Mureș County, Romania | 33.3 | |
| 85 | Pune Maharashtra, India | 33.3 | |
| 87 | Tirupati Andhra Pradesh, India | 33.1 | |
| 87 | Ankleshwar Gujarat, India | 33.1 | |
| 89 | Aizawl Mizoram, India | 32.9 | |
| 89 | Sai Mai low-cost sensors Bangkok, Thailand | 32.9 | |
| 91 | Buxar Bihar, India | 32.8 | |
| 91 | Bengaluru Karnataka, India | 32.8 | |
| 93 | Shrīrāmpur West Bengal, India | 32.7 | |
| 93 | Nashik Maharashtra, India | 32.7 | |
| 93 | Kalyān Maharashtra, India | 32.7 | |
| 93 | Kolkata West Bengal, India | 32.7 | |
| 97 | Āsansol West Bengal, India | 32.6 | |
| 97 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 32.6 | |
| 99 | Ban Khlong Prawet low-cost sensors Bangkok, Thailand | 32.4 | |
| 100 | Closepet Karnataka, India | 32.3 | |
| 100 | Vapi Gujarat, India | 32.3 | |
| 102 | Shivamogga Karnataka, India | 32.2 | |
| 102 | Gaya Bihar, India | 32.2 | |
| 104 | Almaty low-cost sensors Almaty, Kazakhstan | 32.1 | |
| 105 | Bang Pakong low-cost sensors Chachoengsao, Thailand | 32.0 | |
| 106 | Bhāgalpur Bihar, India | 31.9 | |
| 107 | Begusarai Bihar, India | 31.8 | |
| 108 | Ahmedabad Gujarat, India | 31.5 | |
| 109 | Bānswāra Rajasthan, India | 31.4 | |
| 110 | Rānīganj West Bengal, India | 31.1 | |
| 110 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 31.1 | |
| 110 | Bangkok low-cost sensors Bangkok, Thailand | 31.1 | |
| 113 | Pimpri-Chinchwad Maharashtra, India | 31.0 | |
| 114 | Parbhani Maharashtra, India | 30.6 | |
| 114 | Wadgaon Kolhati Maharashtra, India | 30.6 | |
| 116 | Nanded Maharashtra, India | 30.2 | |
| 116 | Jammu low-cost sensors Jammu and Kashmir, India | 30.2 | |
| 118 | Rājgīr Bihar, India | 30.1 | |
| 119 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 29.8 | |
| 120 | Morādābād Uttar Pradesh, India | 29.5 | |
| 121 | Quthbullapur Telangana, India | 29.4 | |
| 122 | Atlixco Puebla, Mexico | 29.3 | |
| 123 | Obrenovac Central Serbia, Serbia | 29.2 | |
| 124 | Sialkot low-cost sensors Punjab, Pakistan | 29.1 | |
| 124 | Kanpur Uttar Pradesh, India | 29.1 | |
| 126 | Pratāpgarh Rajasthan, India | 29.0 | |
| 126 | Żywiec Silesia, Poland | 29.0 | |
| 128 | Tonk Rajasthan, India | 28.9 | |
| 129 | Mahād Maharashtra, India | 28.7 | |
| 130 | Karauli Rajasthan, India | 28.3 | |
| 131 | Jalandhar Punjab, India | 28.2 | |
| 131 | Jhunjhunūn Rajasthan, India | 28.2 | |
| 131 | Chittorgarh Rajasthan, India | 28.2 | |
| 134 | Hyderabad Telangana, India | 28.0 | |
| 135 | Cuttack Odisha, India | 27.8 | |
| 135 | Bhubaneswar Odisha, India | 27.8 | |
| 135 | Lagos low-cost sensors Lagos, Nigeria | 27.8 | |
| 138 | Ashaiman low-cost sensors Greater Accra, Ghana | 27.6 | |
| 139 | Akola Maharashtra, India | 27.5 | |
| 140 | Bhopal Madhya Pradesh, India | 27.4 | |
| 141 | Badlapur Maharashtra, India | 27.3 | |
| 142 | Dubai low-cost sensors Dubai, United Arab Emirates | 27.2 | |
| 142 | Surat Gujarat, India | 27.2 | |
| 142 | Latur Maharashtra, India | 27.2 | |
| 145 | Bikaner Rajasthan, India | 27.0 | |
| 146 | Dausa Rajasthan, India | 26.7 | |
| 147 | Bārān Rajasthan, India | 26.6 | |
| 148 | Panvel Maharashtra, India | 26.4 | |
| 148 | Aurangabad Maharashtra, India | 26.4 | |
| 150 | Banja Luka Srpska, Bosnia and Herzegovina | 26.2 | |
| 151 | Gangtok Sikkim, India | 26.1 | |
| 152 | Chandigarh Chandigarh, India | 26.0 | |
| 153 | Bareilly Uttar Pradesh, India | 25.7 | |
| 154 | Calexico California, United States | 25.6 | |
| 155 | Kalisz Greater Poland, Poland | 25.4 | |
| 156 | Kłodzko Lower Silesia, Poland | 25.2 | |
| 157 | Virār Maharashtra, India | 25.0 | |
| 158 | Multan low-cost sensors Punjab, Pakistan | 24.9 | |
| 159 | Silchar Assam, India | 24.8 | |
| 160 | Jabalpur Madhya Pradesh, India | 24.7 | |
| 160 | San Salvador Tizatlalli México, Mexico | 24.7 | |
| 162 | Smederevo Central Serbia, Serbia | 24.5 | |
| 163 | Kota Rajasthan, India | 24.4 | |
| 163 | Haldia West Bengal, India | 24.4 | |
| 165 | Shillong Meghalaya, India | 24.3 | |
| 165 | Gandhinagar Gujarat, India | 24.3 | |
| 165 | Bhiwandi Maharashtra, India | 24.3 | |
| 168 | Karachi low-cost sensors Sindh, Pakistan | 24.0 | |
| 168 | Islamabad low-cost sensors Islamabad, Pakistan | 24.0 | |
| 170 | Bijelo Polje Bijelo Polje, Montenegro | 23.8 | |
| 171 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 23.5 | |
| 172 | Coimbatore Tamil Nadu, India | 23.3 | |
| 172 | Tema low-cost sensors Greater Accra, Ghana | 23.3 | |
| 174 | Kalaburagi Karnataka, India | 23.2 | |
| 175 | Sāngli Maharashtra, India | 23.1 | |
| 175 | Quezon City low-cost sensors National Capital Region, Philippines | 23.1 | |
| 177 | Hyderabad low-cost sensors Sindh, Pakistan | 23.0 | |
| 177 | Iloilo low-cost sensors Western Visayas, Philippines | 23.0 | |
| 177 | Singapore low-cost sensors Singapore | 23.0 | |
| 177 | Dakar low-cost sensors Dakar, Senegal | 23.0 | |
| 181 | Zgierz Łódź Voivodeship, Poland | 22.8 | |
| 182 | Wan Chai Wan Chai, Hong Kong | 22.7 | |
| 182 | Victoria de Durango Durango, Mexico | 22.7 | |
| 182 | Kharghar Maharashtra, India | 22.7 | |
| 185 | Amaravati Andhra Pradesh, India | 22.5 | |
| 186 | Rairangpur Odisha, India | 22.4 | |
| 186 | Fengshan Takao, Taiwan | 22.4 | |
| 188 | Amravati Maharashtra, India | 22.1 | |
| 189 | Suceava Suceava, Romania | 22.0 | |
| 190 | Otwock Mazovia, Poland | 21.7 | |
| 190 | Rasapūdipalem Andhra Pradesh, India | 21.7 | |
| 192 | Irákleion Crete, Greece | 21.6 | |
| 193 | Patiāla Punjab, India | 21.5 | |
| 194 | Sri Ganganagar Rajasthan, India | 21.2 | |
| 195 | Tehuacán Puebla, Mexico | 21.1 | |
| 195 | Hacienda Santa Fe Jalisco, Mexico | 21.1 | |
| 197 | Bitola Bitola, North Macedonia | 21.0 | |
| 197 | Ziguinchor low-cost sensors Ziguinchor, Senegal | 21.0 | |
| 197 | Czechowice-Dziedzice Silesia, Poland | 21.0 | |
| 197 | Pljevlja Pljevlja, Montenegro | 21.0 |
Top 200 of 2,304 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