SmogRank / History / May 27, 2026
Most polluted cities on May 27, 2026
2,271 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Gurugram Haryana, India | 153.0 | |
| 2 | Dādri Uttar Pradesh, India | 120.0 | |
| 3 | Narela Delhi, India | 108.0 | |
| 4 | Kaithal Haryana, India | 95.0 | |
| 5 | Faridabad Haryana, India | 93.9 | |
| 6 | Muzaffarnagar Uttar Pradesh, India | 93.4 | |
| 7 | Hāpur Uttar Pradesh, India | 92.5 | |
| 8 | Bhiwāni Haryana, India | 91.0 | |
| 9 | Bahadurgarh Haryana, India | 90.6 | |
| 10 | Dhāruhera Haryana, India | 88.7 | |
| 11 | Karnāl Haryana, India | 83.3 | |
| 12 | Ghāziābād Uttar Pradesh, India | 82.9 | |
| 13 | Joda Odisha, India | 82.6 | |
| 14 | Bāghpat Uttar Pradesh, India | 81.3 | |
| 15 | Jhunjhunūn Rajasthan, India | 81.2 | |
| 16 | Noida Uttar Pradesh, India | 80.9 | |
| 17 | Delhi Delhi, India | 80.8 | |
| 18 | Ambāla Haryana, India | 76.1 | |
| 19 | Dhaulpur Rajasthan, India | 76.0 | |
| 19 | Aya Nagar Delhi, India | 76.0 | |
| 21 | Meerut Uttar Pradesh, India | 75.7 | |
| 22 | Jīnd Haryana, India | 72.6 | |
| 23 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 70.4 | |
| 24 | Panchkula Haryana, India | 69.6 | |
| 25 | Bhiwadi Rajasthan, India | 67.1 | |
| 26 | Thānesar Haryana, India | 65.1 | |
| 27 | Najafgarh Delhi, India | 64.5 | |
| 28 | Jalandhar Punjab, India | 59.0 | |
| 29 | Lucknow Uttar Pradesh, India | 57.8 | |
| 30 | Jaipur Rajasthan, India | 55.6 | |
| 31 | Gwalior Madhya Pradesh, India | 54.4 | |
| 32 | Faisalabad low-cost sensors Punjab, Pakistan | 54.2 | |
| 33 | Agra Uttar Pradesh, India | 53.4 | |
| 34 | Sonīpat Haryana, India | 52.2 | |
| 34 | Jharia Jharkhand, India | 52.2 | |
| 36 | Gummidipundi Tamil Nadu, India | 51.2 | |
| 37 | Quezon City low-cost sensors National Capital Region, Philippines | 50.7 | |
| 38 | Bārān Rajasthan, India | 48.5 | |
| 39 | Jammu low-cost sensors Jammu and Kashmir, India | 47.9 | |
| 40 | Yamuna Nagar Haryana, India | 47.2 | |
| 41 | Keonjhargarh Odisha, India | 45.1 | |
| 42 | Hanumāngarh Rajasthan, India | 44.9 | |
| 43 | Dubai low-cost sensors Dubai, United Arab Emirates | 44.4 | |
| 44 | Blantyre low-cost sensors Southern Region, Malawi | 44.3 | |
| 45 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 43.9 | |
| 46 | Bānswāra Rajasthan, India | 43.5 | |
| 47 | Saugor Madhya Pradesh, India | 41.5 | |
| 47 | Iloilo low-cost sensors Western Visayas, Philippines | 41.5 | |
| 49 | Redmond low-cost sensors Washington, United States | 41.3 | |
| 50 | Multan low-cost sensors Punjab, Pakistan | 41.1 | |
| 51 | Kanpur Uttar Pradesh, India | 40.9 | |
| 52 | Virār Maharashtra, India | 40.3 | |
| 53 | Rasapūdipalem Andhra Pradesh, India | 40.2 | |
| 54 | Trento Trentino-Alto Adige, Italy | 39.8 | |
| 55 | Kampala low-cost sensors Central Region, Uganda | 39.3 | |
| 56 | Guwahati Assam, India | 39.0 | |
| 57 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 38.6 | |
| 58 | Hājīpur Bihar, India | 38.4 | |
| 59 | Morādābād Uttar Pradesh, India | 38.1 | |
| 60 | Lahore low-cost sensors Punjab, Pakistan | 38.0 | |
| 60 | Lagos low-cost sensors Lagos, Nigeria | 38.0 | |
| 62 | Chittorgarh Rajasthan, India | 37.8 | |
| 63 | Patiāla Punjab, India | 37.7 | |
| 64 | Nagpur Maharashtra, India | 37.5 | |
| 65 | Tonk Rajasthan, India | 37.1 | |
| 66 | Rourkela Odisha, India | 36.4 | |
| 66 | Ajmer Rajasthan, India | 36.4 | |
| 68 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 36.2 | |
| 69 | Badlapur Maharashtra, India | 35.9 | |
| 70 | Naucalpan de Juárez México, Mexico | 35.5 | |
| 71 | Mahād Maharashtra, India | 35.0 | |
| 71 | Gaya Bihar, India | 35.0 | |
| 73 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 34.8 | |
| 73 | Nagaon Assam, India | 34.8 | |
| 75 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 34.6 | |
| 76 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 34.0 | |
| 77 | Atlixco Puebla, Mexico | 33.2 | |
| 78 | Chānda Maharashtra, India | 33.1 | |
| 78 | Chandigarh Chandigarh, India | 33.1 | |
| 80 | Puebla Puebla, Mexico | 33.0 | |
| 81 | Jhālāwār Rajasthan, India | 32.9 | |
| 81 | Angul Odisha, India | 32.9 | |
| 83 | Sialkot low-cost sensors Punjab, Pakistan | 32.7 | |
| 84 | Kathmandu low-cost sensors Bagmati Province, Nepal | 32.3 | |
| 85 | Nalbāri Assam, India | 31.9 | |
| 86 | Barbil Odisha, India | 31.7 | |
| 87 | Boisar Maharashtra, India | 31.6 | |
| 88 | Raipur Chhattisgarh, India | 31.2 | |
| 89 | Indore Madhya Pradesh, India | 31.1 | |
| 90 | Dausa Rajasthan, India | 30.9 | |
| 91 | Jaisalmer Rajasthan, India | 30.7 | |
| 91 | Ashaiman low-cost sensors Greater Accra, Ghana | 30.7 | |
| 93 | Kota Rajasthan, India | 30.4 | |
| 94 | Naharlagun Arunachal Pradesh, India | 30.0 | |
| 95 | Bhilwara Rajasthan, India | 29.9 | |
| 96 | Dakar low-cost sensors Dakar, Senegal | 29.8 | |
| 97 | Jabalpur Madhya Pradesh, India | 29.3 | |
| 98 | Celaya Guanajuato, Mexico | 29.1 | |
| 99 | Phuntsholing low-cost sensors Chukha, Bhutan | 28.7 | |
| 100 | Latur Maharashtra, India | 28.6 | |
| 100 | San Pedro Sula low-cost sensors Cortés Department, Honduras | 28.6 | |
| 102 | Bahawalpur low-cost sensors Punjab, Pakistan | 28.4 | |
| 102 | Bhopal Madhya Pradesh, India | 28.4 | |
| 104 | Ibadan low-cost sensors Oyo State, Nigeria | 27.7 | |
| 105 | Buxtehude Lower Saxony, Germany | 27.5 | |
| 106 | Sri Ganganagar Rajasthan, India | 27.4 | |
| 107 | Prayagraj Uttar Pradesh, India | 27.3 | |
| 108 | Bareilly Uttar Pradesh, India | 27.1 | |
| 108 | Amravati Maharashtra, India | 27.1 | |
| 110 | Neelankarai Tamil Nadu, India | 27.0 | |
| 110 | Santa Anita - Los Ficus Lima region, Peru | 27.0 | |
| 112 | Cuautla Morelos, Mexico | 26.9 | |
| 112 | Lima Lima Province, Peru | 26.9 | |
| 114 | Jounieh low-cost sensors Mount Lebanon, Lebanon | 26.5 | |
| 114 | Kolkata West Bengal, India | 26.5 | |
| 116 | Baripāda Odisha, India | 26.4 | |
| 117 | Rājgīr Bihar, India | 26.3 | |
| 117 | Chūru Rajasthan, India | 26.3 | |
| 117 | Porto low-cost sensors Porto, Portugal | 26.3 | |
| 120 | Jalgaon Maharashtra, India | 26.2 | |
| 121 | Rawalpindi low-cost sensors Punjab, Pakistan | 26.1 | |
| 121 | Ahmedabad Gujarat, India | 26.1 | |
| 123 | Buxar Bihar, India | 25.9 | |
| 124 | Gujranwala low-cost sensors Punjab, Pakistan | 25.7 | |
| 125 | Haldia West Bengal, India | 25.6 | |
| 126 | Kotli Loharan low-cost sensors Punjab, Pakistan | 25.5 | |
| 127 | Būndi Rajasthan, India | 25.4 | |
| 128 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 25.3 | |
| 129 | Sīkar Rajasthan, India | 25.2 | |
| 130 | Karonga low-cost sensors Northern Region, Malawi | 24.9 | |
| 130 | Aurangabad Maharashtra, India | 24.9 | |
| 130 | Akola Maharashtra, India | 24.9 | |
| 133 | Saint-Louis low-cost sensors Saint-Louis, Senegal | 24.7 | |
| 134 | Beirut low-cost sensors Beirut, Lebanon | 24.6 | |
| 134 | Sukuta low-cost sensors Western, Gambia | 24.6 | |
| 136 | Tirupati Andhra Pradesh, India | 24.5 | |
| 136 | Bhiwandi Maharashtra, India | 24.5 | |
| 138 | Nanded Maharashtra, India | 24.4 | |
| 138 | Tema low-cost sensors Greater Accra, Ghana | 24.4 | |
| 140 | Chennai Tamil Nadu, India | 24.3 | |
| 140 | Mixquiahuala de Juárez Hidalgo, Mexico | 24.3 | |
| 140 | Ciudad Nezahualcoyotl México, Mexico | 24.3 | |
| 143 | Pratāpgarh Rajasthan, India | 23.8 | |
| 143 | Dunkirk Hauts-de-France, France | 23.8 | |
| 143 | Undera Gujarat, India | 23.8 | |
| 146 | Mexico City Mexico City, Mexico | 23.7 | |
| 147 | Hacienda Santa Fe Jalisco, Mexico | 23.6 | |
| 148 | Amaravati Andhra Pradesh, India | 23.5 | |
| 149 | Durg Chhattisgarh, India | 23.3 | |
| 150 | San Luis Potosí San Luis Potosí, Mexico | 23.2 | |
| 151 | Bhilai Chhattisgarh, India | 23.1 | |
| 152 | Bikaner Rajasthan, India | 22.8 | |
| 152 | Neu-Ulm Bavaria, Germany | 22.8 | |
| 154 | Lindau Bavaria, Germany | 22.7 | |
| 155 | Hubballi Karnataka, India | 22.6 | |
| 155 | Mérida Yucatán, Mexico | 22.6 | |
| 155 | Aguascalientes Aguascalientes, Mexico | 22.6 | |
| 158 | Harare low-cost sensors Harare, Zimbabwe | 22.5 | |
| 158 | Bhubaneswar Odisha, India | 22.5 | |
| 160 | Parbhani Maharashtra, India | 22.2 | |
| 160 | Tuxtla Chiapas, Mexico | 22.2 | |
| 162 | Dhule Maharashtra, India | 22.1 | |
| 162 | Calexico California, United States | 22.1 | |
| 164 | Mzuzu low-cost sensors Northern Region, Malawi | 21.7 | |
| 165 | Sawai Madhopur Rajasthan, India | 21.6 | |
| 166 | Closepet Karnataka, India | 21.5 | |
| 167 | Istanbul low-cost sensors Istanbul, Turkey | 21.4 | |
| 168 | Koksijde Flanders, Belgium | 21.3 | |
| 169 | Jesi The Marches, Italy | 21.2 | |
| 170 | Sidon low-cost sensors South Governorate, Lebanon | 21.1 | |
| 171 | Dūngarpur Rajasthan, India | 21.0 | |
| 171 | Arāria Bihar, India | 21.0 | |
| 171 | Irapuato Guanajuato, Mexico | 21.0 | |
| 174 | Prague Prague, Czechia | 20.9 | |
| 175 | Changchun low-cost sensors Jilin, China | 20.8 | |
| 176 | Frýdek-Místek Moravian-Silesian Region, Czechia | 20.6 | |
| 177 | Nandri Rajasthan, India | 20.5 | |
| 178 | Jalor Rajasthan, India | 20.2 | |
| 178 | Gudalur Tamil Nadu, India | 20.2 | |
| 180 | Karachi low-cost sensors Sindh, Pakistan | 20.1 | |
| 181 | Tlaquepaque Jalisco, Mexico | 20.0 | |
| 182 | Roubaix Hauts-de-France, France | 19.9 | |
| 182 | Bolzano Trentino-Alto Adige, Italy | 19.9 | |
| 184 | Gandhinagar Gujarat, India | 19.7 | |
| 184 | Yecapixtla Morelos, Mexico | 19.7 | |
| 186 | Jodhpur Rajasthan, India | 19.6 | |
| 186 | Santiago de Querétaro Querétaro, Mexico | 19.6 | |
| 188 | San Francisco De Borja Lima region, Peru | 19.5 | |
| 189 | Rairangpur Odisha, India | 19.4 | |
| 189 | London England, United Kingdom | 19.4 | |
| 191 | Prešov Prešov Region, Slovakia | 19.3 | |
| 192 | Madikeri Karnataka, India | 19.2 | |
| 192 | Meyzieu Auvergne-Rhône-Alpes, France | 19.2 | |
| 194 | Sirohi Rajasthan, India | 19.1 | |
| 194 | Bharatpur Rajasthan, India | 19.1 | |
| 196 | Patna Bihar, India | 18.9 | |
| 197 | Quetta low-cost sensors Balochistan, Pakistan | 18.8 | |
| 197 | Thāne Maharashtra, India | 18.8 | |
| 197 | Silchar Assam, India | 18.8 | |
| 197 | Lyon Auvergne-Rhône-Alpes, France | 18.8 |
Top 200 of 2,271 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