SmogRank / History / March 1, 2026
Most polluted cities on March 1, 2026
2,196 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Faisalabad low-cost sensors Punjab, Pakistan | 162.0 | |
| 2 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 159.5 | |
| 3 | Gurugram Haryana, India | 145.0 | |
| 4 | Karonga low-cost sensors Northern Region, Malawi | 132.0 | |
| 5 | Bahawalpur low-cost sensors Punjab, Pakistan | 130.0 | |
| 6 | Multan low-cost sensors Punjab, Pakistan | 116.5 | |
| 7 | Dhāruhera Haryana, India | 116.0 | |
| 8 | Sukuta low-cost sensors Western, Gambia | 115.0 | |
| 9 | Lahore low-cost sensors Punjab, Pakistan | 110.5 | |
| 10 | Faridabad Haryana, India | 108.1 | |
| 11 | Bahadurgarh Haryana, India | 108.0 | |
| 12 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 105.5 | |
| 13 | Angul Odisha, India | 99.5 | |
| 14 | Kampala low-cost sensors Central Region, Uganda | 90.3 | |
| 15 | Barbil Odisha, India | 90.2 | |
| 16 | Kathmandu low-cost sensors Bagmati Province, Nepal | 87.5 | |
| 17 | Hājīpur Bihar, India | 86.4 | |
| 18 | Narela Delhi, India | 86.2 | |
| 19 | Phuntsholing low-cost sensors Chukha, Bhutan | 85.5 | |
| 20 | Brikama low-cost sensors Western, Gambia | 85.2 | |
| 21 | Dādri Uttar Pradesh, India | 83.2 | |
| 22 | Bhiwadi Rajasthan, India | 82.9 | |
| 23 | Bhelai Chhattisgarh, India | 82.5 | |
| 24 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 81.9 | |
| 25 | Gummidipundi Tamil Nadu, India | 81.3 | |
| 26 | Changchun low-cost sensors Jilin, China | 80.3 | |
| 27 | Sialkot low-cost sensors Punjab, Pakistan | 80.2 | |
| 28 | Gujranwala low-cost sensors Punjab, Pakistan | 79.3 | |
| 29 | Delhi Delhi, India | 78.8 | |
| 30 | Jīnd Haryana, India | 78.4 | |
| 31 | Thānesar Haryana, India | 77.9 | |
| 32 | Nalbāri Assam, India | 77.3 | |
| 33 | Banja Luka Srpska, Bosnia and Herzegovina | 75.7 | |
| 34 | Rasapūdipalem Andhra Pradesh, India | 75.6 | |
| 35 | Noida Uttar Pradesh, India | 74.5 | |
| 36 | Rourkela Odisha, India | 72.3 | |
| 37 | Rānīganj West Bengal, India | 71.2 | |
| 38 | Durgapur West Bengal, India | 71.1 | |
| 39 | Yamuna Nagar Haryana, India | 70.9 | |
| 40 | Byasanagar Odisha, India | 70.4 | |
| 41 | Lucknow Uttar Pradesh, India | 69.9 | |
| 42 | Singrauli Madhya Pradesh, India | 69.2 | |
| 43 | Agartala Tripura, India | 69.1 | |
| 44 | Hāpur Uttar Pradesh, India | 68.3 | |
| 45 | Talghar low-cost sensors Almaty Region, Kazakhstan | 68.2 | |
| 46 | Najafgarh Delhi, India | 68.1 | |
| 47 | Târgu Mureş low-cost sensors Mureș County, Romania | 67.4 | |
| 48 | Sonīpat Haryana, India | 66.6 | |
| 49 | Tuxtla Chiapas, Mexico | 65.9 | |
| 50 | Rawalpindi low-cost sensors Punjab, Pakistan | 65.5 | |
| 51 | Bāghpat Uttar Pradesh, India | 62.4 | |
| 51 | Baddi Himachal Pradesh, India | 62.4 | |
| 53 | Ropar Punjab, India | 62.3 | |
| 54 | Tirumala Andhra Pradesh, India | 61.9 | |
| 54 | Chennai Tamil Nadu, India | 61.9 | |
| 56 | Ghāziābād Uttar Pradesh, India | 61.8 | |
| 57 | Baripāda Odisha, India | 61.6 | |
| 58 | Karnāl Haryana, India | 61.1 | |
| 59 | Closepet Karnataka, India | 60.7 | |
| 60 | Arāria Bihar, India | 59.9 | |
| 61 | Jalgaon Maharashtra, India | 59.3 | |
| 62 | Neelankarai Tamil Nadu, India | 59.0 | |
| 63 | Aya Nagar Delhi, India | 58.8 | |
| 64 | Bhiwāni Haryana, India | 58.4 | |
| 65 | Saharsa Bihar, India | 57.9 | |
| 66 | Ajmer Rajasthan, India | 57.7 | |
| 67 | Yadgir Karnataka, India | 57.2 | |
| 67 | Jaisalmer Rajasthan, India | 57.2 | |
| 69 | Āsansol West Bengal, India | 56.8 | |
| 70 | Bhubaneswar Odisha, India | 56.1 | |
| 71 | Tirupati Andhra Pradesh, India | 55.8 | |
| 72 | Cuttack Odisha, India | 55.4 | |
| 72 | Chānda Maharashtra, India | 55.4 | |
| 74 | Vientiane low-cost sensors Vientiane Prefecture, Laos | 55.0 | |
| 75 | Kumanovo Kumanovo, North Macedonia | 54.6 | |
| 76 | Meerut Uttar Pradesh, India | 54.5 | |
| 76 | Bishkek low-cost sensors Bishkek, Kyrgyzstan | 54.5 | |
| 78 | Tonk Rajasthan, India | 54.3 | |
| 79 | Dej Cluj County, Romania | 53.2 | |
| 80 | Debrecen low-cost sensors Hajdú-Bihar, Hungary | 53.1 | |
| 81 | Kojomkul low-cost sensors Chuy Region, Kyrgyzstan | 52.8 | |
| 82 | Dimitrovgrad low-cost sensors Haskovo, Bulgaria | 52.6 | |
| 82 | Tetovo Tetovo, North Macedonia | 52.6 | |
| 84 | Jaipur Rajasthan, India | 51.1 | |
| 85 | Jhunjhunūn Rajasthan, India | 50.8 | |
| 85 | Gwalior Madhya Pradesh, India | 50.8 | |
| 87 | Muzaffarnagar Uttar Pradesh, India | 50.7 | |
| 88 | Almaty low-cost sensors Almaty, Kazakhstan | 50.6 | |
| 89 | Bijelo Polje Bijelo Polje, Montenegro | 50.3 | |
| 90 | Sholapur Maharashtra, India | 49.5 | |
| 90 | Keonjhargarh Odisha, India | 49.5 | |
| 92 | Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan | 49.3 | |
| 93 | Pljevlja Pljevlja, Montenegro | 48.9 | |
| 94 | Kotli Loharan low-cost sensors Punjab, Pakistan | 48.5 | |
| 94 | Ahmedabad Gujarat, India | 48.5 | |
| 96 | Sīkar Rajasthan, India | 48.1 | |
| 96 | Begusarai Bihar, India | 48.1 | |
| 96 | Amaravati Andhra Pradesh, India | 48.1 | |
| 99 | Chittorgarh Rajasthan, India | 48.0 | |
| 100 | Sawai Madhopur Rajasthan, India | 47.5 | |
| 101 | Târgu Jiu Gorj County, Romania | 47.3 | |
| 101 | Patna Bihar, India | 47.3 | |
| 101 | Chūru Rajasthan, India | 47.3 | |
| 104 | Greater Noida Uttar Pradesh, India | 46.6 | |
| 105 | Gandhinagar Gujarat, India | 46.5 | |
| 106 | Kaithal Haryana, India | 46.2 | |
| 107 | Jhālāwār Rajasthan, India | 46.1 | |
| 108 | Kolkata West Bengal, India | 45.7 | |
| 109 | Bikaner Rajasthan, India | 45.5 | |
| 110 | Gaya Bihar, India | 45.3 | |
| 111 | Gostivar Gostivar, North Macedonia | 44.8 | |
| 112 | Nagpur Maharashtra, India | 44.6 | |
| 112 | Uttaradit low-cost sensors Uttaradit, Thailand | 44.6 | |
| 114 | Haskovo low-cost sensors Haskovo, Bulgaria | 44.2 | |
| 115 | Bellinzona Ticino, Switzerland | 43.4 | |
| 116 | Islamabad low-cost sensors Islamabad, Pakistan | 42.8 | |
| 117 | Anantapur Andhra Pradesh, India | 42.3 | |
| 117 | Zagreb low-cost sensors Zagreb, Croatia | 42.3 | |
| 119 | Żywiec Silesia, Poland | 41.9 | |
| 120 | Jodhpur Rajasthan, India | 41.7 | |
| 120 | Ziguinchor low-cost sensors Ziguinchor, Senegal | 41.7 | |
| 122 | Kazincbarcika Borsod-Abaúj-Zemplén, Hungary | 41.5 | |
| 123 | Virār Maharashtra, India | 41.4 | |
| 124 | Codlea Brașov County, Romania | 41.3 | |
| 124 | Rairangpur Odisha, India | 41.3 | |
| 126 | Karachi low-cost sensors Sindh, Pakistan | 41.2 | |
| 127 | Nanded Maharashtra, India | 41.1 | |
| 128 | Dubai low-cost sensors Dubai, United Arab Emirates | 41.0 | |
| 129 | Badlapur Maharashtra, India | 40.8 | |
| 129 | Sarajevo Federation of B&H, Bosnia and Herzegovina | 40.8 | |
| 131 | Kikinda Vojvodina, Serbia | 40.7 | |
| 132 | Hanumāngarh Rajasthan, India | 40.6 | |
| 132 | Kadapa Andhra Pradesh, India | 40.6 | |
| 134 | Serilingampalle Telangana, India | 40.5 | |
| 135 | Morādābād Uttar Pradesh, India | 40.3 | |
| 135 | Ambāla Haryana, India | 40.3 | |
| 137 | Gorizia Friuli Venezia Giulia, Italy | 40.2 | |
| 138 | Joda Odisha, India | 40.0 | |
| 139 | Vijayawada Andhra Pradesh, India | 39.8 | |
| 139 | Kalyān Maharashtra, India | 39.8 | |
| 141 | Augustów Podlasie, Poland | 39.7 | |
| 141 | Karauli Rajasthan, India | 39.7 | |
| 141 | Dhaulpur Rajasthan, India | 39.7 | |
| 141 | Arrah Bihar, India | 39.7 | |
| 145 | Bhiwandi Maharashtra, India | 39.5 | |
| 146 | Nagaon Assam, India | 39.1 | |
| 146 | Jalor Rajasthan, India | 39.1 | |
| 148 | Chandigarh Chandigarh, India | 39.0 | |
| 149 | Buxar Bihar, India | 38.7 | |
| 150 | Akola Maharashtra, India | 38.3 | |
| 151 | Nāgaur Rajasthan, India | 38.2 | |
| 152 | Suceava Suceava, Romania | 38.1 | |
| 152 | Pratāpgarh Rajasthan, India | 38.1 | |
| 152 | Kota Rajasthan, India | 38.1 | |
| 155 | Hyderabad low-cost sensors Sindh, Pakistan | 38.0 | |
| 156 | Wadgaon Kolhati Maharashtra, India | 37.7 | |
| 157 | Lagos low-cost sensors Lagos, Nigeria | 37.6 | |
| 157 | Lugano Ticino, Switzerland | 37.6 | |
| 157 | Stodůlky low-cost sensors Prague, Czechia | 37.6 | |
| 157 | Naharlagun Arunachal Pradesh, India | 37.6 | |
| 161 | Bengaluru Karnataka, India | 37.5 | |
| 162 | Nandri Rajasthan, India | 37.4 | |
| 163 | Skopje Grad Skopje, North Macedonia | 37.0 | |
| 163 | Bhilwara Rajasthan, India | 37.0 | |
| 165 | Haldia West Bengal, India | 36.9 | |
| 166 | Dębica Subcarpathia, Poland | 36.8 | |
| 166 | Hyderabad Telangana, India | 36.8 | |
| 168 | Shrīrāmpur West Bengal, India | 36.7 | |
| 169 | Indore Madhya Pradesh, India | 36.4 | |
| 170 | Kanpur Uttar Pradesh, India | 36.0 | |
| 171 | Ohrid Ohrid, North Macedonia | 35.8 | |
| 172 | Ashaiman low-cost sensors Greater Accra, Ghana | 35.5 | |
| 173 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 35.4 | |
| 174 | Coimbatore Tamil Nadu, India | 35.2 | |
| 175 | Rājsamand Rajasthan, India | 35.1 | |
| 175 | Włocławek Kujawsko-Pomorskie, Poland | 35.1 | |
| 177 | Quetta low-cost sensors Balochistan, Pakistan | 35.0 | |
| 177 | Jabalpur Madhya Pradesh, India | 35.0 | |
| 179 | Kłodzko Lower Silesia, Poland | 34.8 | |
| 179 | Aguascalientes Aguascalientes, Mexico | 34.8 | |
| 181 | Springdale Arkansas, United States | 34.7 | |
| 182 | Pimpri-Chinchwad Maharashtra, India | 34.6 | |
| 183 | Kraków Lesser Poland, Poland | 34.5 | |
| 184 | Jackson Mississippi, United States | 34.1 | |
| 185 | Aizawl Mizoram, India | 33.8 | |
| 186 | Kavadarci Kavadarci, North Macedonia | 33.6 | |
| 187 | Piteşti Arges, Romania | 33.4 | |
| 187 | Bānswāra Rajasthan, India | 33.4 | |
| 189 | Quthbullapur Telangana, India | 33.1 | |
| 190 | Gevgelija Gevgelija, North Macedonia | 32.7 | |
| 191 | Porto low-cost sensors Porto, Portugal | 32.5 | |
| 192 | Patiāla Punjab, India | 32.4 | |
| 192 | Latur Maharashtra, India | 32.4 | |
| 194 | San Luis Potosí San Luis Potosí, Mexico | 32.3 | |
| 195 | Nikšić Opština Nikšić, Montenegro | 32.1 | |
| 196 | Otwock Mazovia, Poland | 32.0 | |
| 196 | Gangtok Sikkim, India | 32.0 | |
| 196 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 32.0 | |
| 199 | Suwałki Podlasie, Poland | 31.9 | |
| 199 | Shillong Meghalaya, India | 31.9 |
Top 200 of 2,196 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