SmogRank / History / May 24, 2026
Most polluted cities on May 24, 2026
2,070 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Dhāruhera Haryana, India | 102.0 | |
| 2 | Gurugram Haryana, India | 97.7 | |
| 3 | Faridabad Haryana, India | 96.2 | |
| 4 | Bhiwāni Haryana, India | 95.3 | |
| 5 | Kaithal Haryana, India | 89.2 | |
| 6 | Ambāla Haryana, India | 87.7 | |
| 7 | Bahadurgarh Haryana, India | 87.5 | |
| 8 | Narela Delhi, India | 85.2 | |
| 9 | Jīnd Haryana, India | 80.7 | |
| 10 | Dādri Uttar Pradesh, India | 78.4 | |
| 11 | Dhaulpur Rajasthan, India | 74.7 | |
| 12 | Hāpur Uttar Pradesh, India | 74.5 | |
| 13 | Ghāziābād Uttar Pradesh, India | 73.3 | |
| 14 | Jaipur Rajasthan, India | 69.1 | |
| 15 | Bārān Rajasthan, India | 68.0 | |
| 16 | Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo | 67.3 | |
| 17 | Jaisalmer Rajasthan, India | 67.2 | |
| 18 | Bhiwadi Rajasthan, India | 64.4 | |
| 19 | Panchkula Haryana, India | 63.9 | |
| 20 | Thānesar Haryana, India | 63.8 | |
| 21 | Baddi Himachal Pradesh, India | 63.5 | |
| 22 | Lucknow Uttar Pradesh, India | 62.3 | |
| 23 | Gaya Bihar, India | 61.5 | |
| 24 | Karnāl Haryana, India | 59.9 | |
| 25 | Delhi Delhi, India | 59.6 | |
| 26 | Ajmer Rajasthan, India | 59.3 | |
| 27 | Sasarām Bihar, India | 57.9 | |
| 28 | Chūru Rajasthan, India | 57.7 | |
| 29 | Aya Nagar Delhi, India | 57.0 | |
| 30 | Bikaner Rajasthan, India | 56.8 | |
| 31 | Noida Uttar Pradesh, India | 56.2 | |
| 32 | Chānda Maharashtra, India | 56.0 | |
| 33 | Hājīpur Bihar, India | 55.8 | |
| 34 | Gummidipundi Tamil Nadu, India | 54.8 | |
| 35 | Joda Odisha, India | 53.6 | |
| 36 | Sirsa Haryana, India | 53.5 | |
| 37 | Dera Māndi Delhi, India | 53.4 | |
| 38 | Bhāgalpur Bihar, India | 52.1 | |
| 39 | Meerut Uttar Pradesh, India | 51.5 | |
| 40 | Muzaffarnagar Uttar Pradesh, India | 51.2 | |
| 40 | Agra Uttar Pradesh, India | 51.2 | |
| 42 | Tonk Rajasthan, India | 50.5 | |
| 43 | Greater Noida Uttar Pradesh, India | 49.9 | |
| 44 | Jalandhar Punjab, India | 49.4 | |
| 45 | Jhunjhunūn Rajasthan, India | 48.7 | |
| 46 | Calexico California, United States | 48.6 | |
| 47 | Saugor Madhya Pradesh, India | 48.3 | |
| 47 | Kathmandu low-cost sensors Bagmati Province, Nepal | 48.3 | |
| 49 | Faisalabad low-cost sensors Punjab, Pakistan | 48.1 | |
| 50 | Gwalior Madhya Pradesh, India | 47.2 | |
| 51 | Saharsa Bihar, India | 45.5 | |
| 52 | Bāghpat Uttar Pradesh, India | 45.4 | |
| 53 | Kanpur Uttar Pradesh, India | 45.1 | |
| 54 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 44.6 | |
| 55 | Chittorgarh Rajasthan, India | 42.3 | |
| 56 | Tuxtla Chiapas, Mexico | 42.1 | |
| 57 | Lahore low-cost sensors Punjab, Pakistan | 42.0 | |
| 57 | Bānswāra Rajasthan, India | 42.0 | |
| 57 | Palembang low-cost sensors South Sumatra, Indonesia | 42.0 | |
| 60 | Kadapa Andhra Pradesh, India | 41.8 | |
| 61 | Nāgaur Rajasthan, India | 41.7 | |
| 62 | Morādābād Uttar Pradesh, India | 40.0 | |
| 63 | Nagaon Assam, India | 39.9 | |
| 63 | Nandri Rajasthan, India | 39.9 | |
| 65 | Sonīpat Haryana, India | 39.2 | |
| 65 | Baripāda Odisha, India | 39.2 | |
| 67 | Bārmer Rajasthan, India | 38.6 | |
| 68 | Vapi Gujarat, India | 38.5 | |
| 69 | Kampala low-cost sensors Central Region, Uganda | 38.4 | |
| 70 | Chittoor Andhra Pradesh, India | 38.3 | |
| 70 | Amravati Maharashtra, India | 38.3 | |
| 72 | Nagpur Maharashtra, India | 38.2 | |
| 73 | Burunday low-cost sensors Almaty Region, Kazakhstan | 38.1 | |
| 74 | Keonjhargarh Odisha, India | 38.0 | |
| 75 | Dausa Rajasthan, India | 37.6 | |
| 76 | Patna Bihar, India | 37.0 | |
| 77 | Hyderabad Telangana, India | 36.5 | |
| 78 | Latur Maharashtra, India | 36.1 | |
| 79 | Buxar Bihar, India | 35.7 | |
| 80 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 35.5 | |
| 81 | Boisar Maharashtra, India | 35.3 | |
| 82 | Sīkar Rajasthan, India | 35.1 | |
| 82 | Rourkela Odisha, India | 35.1 | |
| 84 | Multan low-cost sensors Punjab, Pakistan | 34.6 | |
| 84 | Kolkata West Bengal, India | 34.6 | |
| 86 | Jhālāwār Rajasthan, India | 34.5 | |
| 86 | Jammu low-cost sensors Jammu and Kashmir, India | 34.5 | |
| 88 | Gujranwala low-cost sensors Punjab, Pakistan | 34.4 | |
| 89 | Jabalpur Madhya Pradesh, India | 34.2 | |
| 90 | Vereeniging low-cost sensors Gauteng, South Africa | 33.9 | |
| 91 | Patiāla Punjab, India | 33.5 | |
| 92 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 33.0 | |
| 93 | Lagos low-cost sensors Lagos, Nigeria | 32.8 | |
| 93 | Barbil Odisha, India | 32.8 | |
| 95 | Indore Madhya Pradesh, India | 32.3 | |
| 96 | Jharia Jharkhand, India | 32.0 | |
| 96 | Bhopal Madhya Pradesh, India | 32.0 | |
| 98 | Kota Rajasthan, India | 31.9 | |
| 99 | Vijayawada Andhra Pradesh, India | 31.8 | |
| 100 | Anantapur Andhra Pradesh, India | 31.6 | |
| 101 | Rairangpur Odisha, India | 31.2 | |
| 101 | Chāpra Bihar, India | 31.2 | |
| 103 | Hacienda Santa Fe Jalisco, Mexico | 31.0 | |
| 104 | Begusarai Bihar, India | 30.8 | |
| 105 | Singapore low-cost sensors Singapore | 30.6 | |
| 106 | Bareilly Uttar Pradesh, India | 30.5 | |
| 107 | Bahawalpur low-cost sensors Punjab, Pakistan | 30.2 | |
| 108 | Raipur Chhattisgarh, India | 30.1 | |
| 108 | Chandigarh Chandigarh, India | 30.1 | |
| 108 | Būndi Rajasthan, India | 30.1 | |
| 111 | Santa Anita - Los Ficus Lima region, Peru | 30.0 | |
| 112 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 29.9 | |
| 113 | Bhilai Chhattisgarh, India | 29.8 | |
| 114 | Changchun low-cost sensors Jilin, China | 29.7 | |
| 115 | Ibadan low-cost sensors Oyo State, Nigeria | 29.6 | |
| 116 | Jalor Rajasthan, India | 29.5 | |
| 117 | Shrīrāmpur West Bengal, India | 29.4 | |
| 118 | Sri Ganganagar Rajasthan, India | 29.0 | |
| 118 | Bhilwara Rajasthan, India | 29.0 | |
| 120 | Phuntsholing low-cost sensors Chukha, Bhutan | 28.8 | |
| 120 | Sawai Madhopur Rajasthan, India | 28.8 | |
| 120 | Angul Odisha, India | 28.8 | |
| 123 | Akola Maharashtra, India | 28.7 | |
| 124 | Badlapur Maharashtra, India | 28.6 | |
| 124 | Neelankarai Tamil Nadu, India | 28.6 | |
| 126 | Jalgaon Maharashtra, India | 28.4 | |
| 127 | Prayagraj Uttar Pradesh, India | 28.3 | |
| 128 | Nalbāri Assam, India | 27.9 | |
| 129 | Arrah Bihar, India | 27.8 | |
| 130 | Rasapūdipalem Andhra Pradesh, India | 27.6 | |
| 131 | San Pedro Sula low-cost sensors Cortés Department, Honduras | 27.5 | |
| 132 | Tlaquepaque Jalisco, Mexico | 27.4 | |
| 133 | Karachi low-cost sensors Sindh, Pakistan | 27.3 | |
| 134 | Haldia West Bengal, India | 27.2 | |
| 134 | Trento Trentino-Alto Adige, Italy | 27.2 | |
| 136 | Dhule Maharashtra, India | 27.0 | |
| 137 | Porto low-cost sensors Porto, Portugal | 26.8 | |
| 137 | Koksijde Flanders, Belgium | 26.8 | |
| 139 | San Luis Potosí San Luis Potosí, Mexico | 26.5 | |
| 140 | Chennai Tamil Nadu, India | 26.4 | |
| 141 | Quezon City low-cost sensors National Capital Region, Philippines | 26.3 | |
| 142 | Dubai low-cost sensors Dubai, United Arab Emirates | 26.2 | |
| 142 | Tirumala Andhra Pradesh, India | 26.2 | |
| 142 | Aurangabad Maharashtra, India | 26.2 | |
| 145 | Lima Lima Province, Peru | 25.6 | |
| 146 | Ciudad Nezahualcoyotl México, Mexico | 25.5 | |
| 147 | Durgapur West Bengal, India | 25.4 | |
| 148 | Jodhpur Rajasthan, India | 25.2 | |
| 149 | Lilongwe low-cost sensors Central Region, Malawi | 24.9 | |
| 150 | Arāria Bihar, India | 24.4 | |
| 150 | Nilópolis Rio de Janeiro, Brazil | 24.4 | |
| 152 | Sukuta low-cost sensors Western, Gambia | 24.2 | |
| 153 | Bhubaneswar Odisha, India | 24.1 | |
| 154 | Sialkot low-cost sensors Punjab, Pakistan | 24.0 | |
| 155 | Pratāpgarh Rajasthan, India | 23.9 | |
| 155 | Bettiah Bihar, India | 23.9 | |
| 155 | Duque de Caxias Rio de Janeiro, Brazil | 23.9 | |
| 158 | Tirupati Andhra Pradesh, India | 23.6 | |
| 159 | Dakar low-cost sensors Dakar, Senegal | 23.5 | |
| 160 | Nanded Maharashtra, India | 23.3 | |
| 161 | Shivamogga Karnataka, India | 23.1 | |
| 162 | Virār Maharashtra, India | 22.6 | |
| 163 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 22.2 | |
| 164 | Mexico City Mexico City, Mexico | 22.1 | |
| 165 | Morelia Michoacán, Mexico | 22.0 | |
| 166 | Puebla Puebla, Mexico | 21.9 | |
| 167 | Parbhani Maharashtra, India | 21.7 | |
| 167 | Almaty low-cost sensors Almaty, Kazakhstan | 21.7 | |
| 169 | Karonga low-cost sensors Northern Region, Malawi | 21.5 | |
| 169 | Istanbul low-cost sensors Istanbul, Turkey | 21.5 | |
| 169 | Tongaat low-cost sensors KwaZulu-Natal, South Africa | 21.5 | |
| 169 | Shakaskraal low-cost sensors KwaZulu-Natal, South Africa | 21.5 | |
| 173 | Roeselare Flanders, Belgium | 21.4 | |
| 174 | Naucalpan de Juárez México, Mexico | 21.2 | |
| 174 | Mixquiahuala de Juárez Hidalgo, Mexico | 21.2 | |
| 176 | Rājsamand Rajasthan, India | 21.1 | |
| 176 | Gangtok Sikkim, India | 21.1 | |
| 178 | Richards Bay low-cost sensors KwaZulu-Natal, South Africa | 20.9 | |
| 178 | Islamabad low-cost sensors Islamabad, Pakistan | 20.9 | |
| 178 | Naharlagun Arunachal Pradesh, India | 20.9 | |
| 181 | Irapuato Guanajuato, Mexico | 20.8 | |
| 181 | Undera Gujarat, India | 20.8 | |
| 183 | Kotli Loharan low-cost sensors Punjab, Pakistan | 20.7 | |
| 183 | San Francisco De Borja Lima region, Peru | 20.7 | |
| 185 | Cuautla Morelos, Mexico | 20.5 | |
| 186 | Ashaiman low-cost sensors Greater Accra, Ghana | 20.4 | |
| 187 | Říčany low-cost sensors Central Bohemia, Czechia | 20.3 | |
| 188 | Durg Chhattisgarh, India | 20.2 | |
| 188 | Celaya Guanajuato, Mexico | 20.2 | |
| 190 | Nashik Maharashtra, India | 20.1 | |
| 190 | Āsansol West Bengal, India | 20.1 | |
| 192 | Saint-Louis low-cost sensors Saint-Louis, Senegal | 19.9 | |
| 193 | Wan Chai Wan Chai, Hong Kong | 19.8 | |
| 193 | Maldegem Flanders, Belgium | 19.8 | |
| 195 | Hyderabad low-cost sensors Sindh, Pakistan | 19.7 | |
| 196 | Dartford England, United Kingdom | 19.6 | |
| 196 | Izegem Flanders, Belgium | 19.6 | |
| 198 | Haarlem low-cost sensors North Holland, The Netherlands | 19.3 | |
| 199 | Rānīganj West Bengal, India | 19.2 | |
| 199 | Dūngarpur Rajasthan, India | 19.2 |
Top 200 of 2,070 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