SmogRank / History / May 5, 2026
Most polluted cities on May 5, 2026
2,261 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.
| # | City | µg/m³ | |
|---|---|---|---|
| 1 | Higashine Yamagata, Japan | 191.0 | |
| 2 | Sonīpat Haryana, India | 98.8 | |
| 3 | Dhaka low-cost sensors Dhaka Division, Bangladesh | 79.1 | |
| 4 | Lilongwe low-cost sensors Central Region, Malawi | 64.6 | |
| 5 | Jīnd Haryana, India | 64.5 | |
| 6 | Tonk Rajasthan, India | 56.2 | |
| 7 | Faridabad Haryana, India | 54.6 | |
| 8 | Karnāl Haryana, India | 52.8 | |
| 9 | Gurugram Haryana, India | 51.6 | |
| 10 | Agra Uttar Pradesh, India | 50.8 | |
| 11 | Jalgaon Maharashtra, India | 50.4 | |
| 12 | Gummidipundi Tamil Nadu, India | 49.6 | |
| 13 | Faisalabad low-cost sensors Punjab, Pakistan | 48.2 | |
| 14 | Nagpur Maharashtra, India | 47.0 | |
| 15 | Gainesville Florida, United States | 45.5 | |
| 15 | Undera Gujarat, India | 45.5 | |
| 17 | Rourkela Odisha, India | 44.2 | |
| 18 | Anantapur Andhra Pradesh, India | 44.0 | |
| 19 | Narela Delhi, India | 42.2 | |
| 20 | Gujranwala low-cost sensors Punjab, Pakistan | 42.1 | |
| 21 | Rahim Yar Khan low-cost sensors Punjab, Pakistan | 41.9 | |
| 22 | San Salvador Tizatlalli México, Mexico | 41.5 | |
| 23 | Chānda Maharashtra, India | 41.4 | |
| 24 | Dubai low-cost sensors Dubai, United Arab Emirates | 41.3 | |
| 24 | Latur Maharashtra, India | 41.3 | |
| 26 | Sirsa Haryana, India | 39.8 | |
| 27 | San Pedro Sula low-cost sensors Cortés Department, Honduras | 39.4 | |
| 28 | Ambāla Haryana, India | 39.3 | |
| 29 | Hyderabad low-cost sensors Sindh, Pakistan | 38.5 | |
| 30 | Karachi low-cost sensors Sindh, Pakistan | 37.8 | |
| 31 | Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan | 37.7 | |
| 32 | Bhiwadi Rajasthan, India | 37.6 | |
| 33 | Lahore low-cost sensors Punjab, Pakistan | 36.8 | |
| 34 | Akola Maharashtra, India | 36.4 | |
| 35 | Santa Anita - Los Ficus Lima region, Peru | 36.3 | |
| 36 | Palembang low-cost sensors South Sumatra, Indonesia | 36.0 | |
| 37 | Noida Uttar Pradesh, India | 35.8 | |
| 38 | Sialkot low-cost sensors Punjab, Pakistan | 35.7 | |
| 39 | Bhelai Chhattisgarh, India | 35.2 | |
| 40 | Bhiwāni Haryana, India | 34.9 | |
| 41 | Jalandhar Punjab, India | 33.7 | |
| 41 | Naucalpan de Juárez México, Mexico | 33.7 | |
| 41 | Apizaco Tlaxcala, Mexico | 33.7 | |
| 44 | Baddi Himachal Pradesh, India | 33.4 | |
| 45 | Ibadan low-cost sensors Oyo State, Nigeria | 33.2 | |
| 46 | Parbhani Maharashtra, India | 33.1 | |
| 46 | Bhiwandi Maharashtra, India | 33.1 | |
| 48 | Chiang Mai low-cost sensors Chiang Mai, Thailand | 32.9 | |
| 49 | Puebla Puebla, Mexico | 32.5 | |
| 50 | Kaithal Haryana, India | 32.3 | |
| 51 | Delhi Delhi, India | 32.2 | |
| 51 | San Francisco De Borja Lima region, Peru | 32.2 | |
| 53 | Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia | 31.9 | |
| 54 | Jalor Rajasthan, India | 31.8 | |
| 55 | Sholapur Maharashtra, India | 31.7 | |
| 56 | Amravati Maharashtra, India | 31.4 | |
| 57 | Najafgarh Delhi, India | 31.1 | |
| 58 | Dādri Uttar Pradesh, India | 31.0 | |
| 59 | Jaisalmer Rajasthan, India | 30.9 | |
| 59 | Tlaxcala Tlaxcala, Mexico | 30.9 | |
| 61 | Beersel low-cost sensors Flanders, Belgium | 30.5 | |
| 62 | Ajmer Rajasthan, India | 30.2 | |
| 63 | Gwalior Madhya Pradesh, India | 30.1 | |
| 64 | Sri Ganganagar Rajasthan, India | 30.0 | |
| 64 | Ciudad Nezahualcoyotl México, Mexico | 30.0 | |
| 66 | Pachuca de Soto Hidalgo, Mexico | 29.8 | |
| 67 | Meerut Uttar Pradesh, India | 29.2 | |
| 67 | Jammu low-cost sensors Jammu and Kashmir, India | 29.2 | |
| 69 | Kampala low-cost sensors Central Region, Uganda | 29.1 | |
| 70 | Wadgaon Kolhati Maharashtra, India | 28.9 | |
| 71 | Singapore low-cost sensors Singapore | 28.6 | |
| 72 | Hacienda Santa Fe Jalisco, Mexico | 28.5 | |
| 72 | Aya Nagar Delhi, India | 28.5 | |
| 74 | Kathmandu low-cost sensors Bagmati Province, Nepal | 28.2 | |
| 74 | Quthbullapur Telangana, India | 28.2 | |
| 76 | Bahawalpur low-cost sensors Punjab, Pakistan | 28.1 | |
| 77 | Panchkula Haryana, India | 28.0 | |
| 78 | Aurangabad Maharashtra, India | 27.9 | |
| 78 | Cuernavaca Morelos, Mexico | 27.9 | |
| 80 | Multan low-cost sensors Punjab, Pakistan | 27.8 | |
| 80 | Mexico City Mexico City, Mexico | 27.8 | |
| 82 | Zacatepec de Hidalgo Morelos, Mexico | 27.6 | |
| 83 | Kalyān Maharashtra, India | 27.4 | |
| 84 | Sirohi Rajasthan, India | 27.2 | |
| 84 | Fengshan Takao, Taiwan | 27.2 | |
| 86 | Ghāziābād Uttar Pradesh, India | 27.1 | |
| 87 | Douliu Taiwan, Taiwan | 27.0 | |
| 88 | Thānesar Haryana, India | 26.8 | |
| 88 | Nashik Maharashtra, India | 26.8 | |
| 88 | Lucknow Uttar Pradesh, India | 26.8 | |
| 88 | Tulancingo Hidalgo, Mexico | 26.8 | |
| 92 | Nalbāri Assam, India | 26.6 | |
| 92 | Chūru Rajasthan, India | 26.6 | |
| 94 | Kharghar Maharashtra, India | 26.5 | |
| 95 | Shivamogga Karnataka, India | 26.4 | |
| 95 | Chiayi City Taiwan, Taiwan | 26.4 | |
| 95 | San Luis Potosí San Luis Potosí, Mexico | 26.4 | |
| 98 | Lima Lima Province, Peru | 26.3 | |
| 98 | Neelankarai Tamil Nadu, India | 26.3 | |
| 100 | Rawalpindi low-cost sensors Punjab, Pakistan | 26.2 | |
| 100 | Hājīpur Bihar, India | 26.2 | |
| 100 | Denain Hauts-de-France, France | 26.2 | |
| 100 | Mixquiahuala de Juárez Hidalgo, Mexico | 26.2 | |
| 104 | Valenciennes Hauts-de-France, France | 26.1 | |
| 105 | Badlapur Maharashtra, India | 26.0 | |
| 105 | Uttaradit low-cost sensors Uttaradit, Thailand | 26.0 | |
| 107 | Guwahati Assam, India | 25.9 | |
| 108 | Karonga low-cost sensors Northern Region, Malawi | 25.8 | |
| 108 | Kotli Loharan low-cost sensors Punjab, Pakistan | 25.8 | |
| 108 | San Luis de la Paz Guanajuato, Mexico | 25.8 | |
| 111 | Santiago de Querétaro Querétaro, Mexico | 25.7 | |
| 112 | Celaya Guanajuato, Mexico | 25.6 | |
| 113 | Beauvais Hauts-de-France, France | 25.3 | |
| 113 | Cuautla Morelos, Mexico | 25.3 | |
| 115 | La Providencia Siglo XXI Hidalgo, Mexico | 25.1 | |
| 116 | Silchar Assam, India | 25.0 | |
| 116 | Ankleshwar Gujarat, India | 25.0 | |
| 116 | Quezon City low-cost sensors National Capital Region, Philippines | 25.0 | |
| 116 | Callao Callao, Peru | 25.0 | |
| 120 | Zhushan Taiwan, Taiwan | 24.8 | |
| 121 | Chennai Tamil Nadu, India | 24.6 | |
| 121 | Kalaburagi Karnataka, India | 24.6 | |
| 121 | Yongkang Taiwan, Taiwan | 24.6 | |
| 124 | Morādābād Uttar Pradesh, India | 24.5 | |
| 125 | Kaohsiung Takao, Taiwan | 24.3 | |
| 125 | Creil Hauts-de-France, France | 24.3 | |
| 125 | Aguascalientes Aguascalientes, Mexico | 24.3 | |
| 128 | Thāne Maharashtra, India | 24.2 | |
| 129 | Surat Gujarat, India | 24.1 | |
| 129 | Hyderabad Telangana, India | 24.1 | |
| 131 | Morelia Michoacán, Mexico | 24.0 | |
| 132 | Tirumala Andhra Pradesh, India | 23.9 | |
| 132 | Irapuato Guanajuato, Mexico | 23.9 | |
| 134 | Mons Wallonia, Belgium | 23.6 | |
| 135 | Bengaluru Karnataka, India | 23.5 | |
| 136 | Tehuacán Puebla, Mexico | 23.4 | |
| 137 | Jabalpur Madhya Pradesh, India | 23.2 | |
| 137 | Saint-Quentin Hauts-de-France, France | 23.2 | |
| 139 | Jaipur Rajasthan, India | 23.1 | |
| 140 | Ashaiman low-cost sensors Greater Accra, Ghana | 22.9 | |
| 141 | Ahmedabad Gujarat, India | 22.6 | |
| 142 | Dausa Rajasthan, India | 22.4 | |
| 143 | Buxar Bihar, India | 22.1 | |
| 144 | Āsansol West Bengal, India | 21.8 | |
| 144 | Lagos low-cost sensors Lagos, Nigeria | 21.8 | |
| 146 | Tepic Nayarit, Mexico | 21.7 | |
| 147 | Kanpur Uttar Pradesh, India | 21.6 | |
| 148 | Obrenovac Central Serbia, Serbia | 21.5 | |
| 148 | Bārmer Rajasthan, India | 21.5 | |
| 150 | Closepet Karnataka, India | 21.4 | |
| 151 | Changchun low-cost sensors Jilin, China | 21.3 | |
| 152 | Chaozhou Taiwan, Taiwan | 21.2 | |
| 153 | Amiens Hauts-de-France, France | 21.1 | |
| 154 | Xinying Taiwan, Taiwan | 21.0 | |
| 154 | Tlaquepaque Jalisco, Mexico | 21.0 | |
| 156 | Nantou Taiwan, Taiwan | 20.9 | |
| 156 | Évreux Normandy, France | 20.9 | |
| 158 | Bārān Rajasthan, India | 20.7 | |
| 159 | Greater Noida Uttar Pradesh, India | 20.6 | |
| 160 | Arāria Bihar, India | 20.4 | |
| 160 | Tula de Allende Hidalgo, Mexico | 20.4 | |
| 162 | Madikeri Karnataka, India | 20.1 | |
| 162 | San Juan del Río Querétaro, Mexico | 20.1 | |
| 164 | Novi Pazar Central Serbia, Serbia | 20.0 | |
| 164 | Boisar Maharashtra, India | 20.0 | |
| 164 | Nocera Inferiore Campania, Italy | 20.0 | |
| 167 | Salamanca Guanajuato, Mexico | 19.8 | |
| 168 | Pune Maharashtra, India | 19.6 | |
| 169 | Dreux Centre-Val de Loire, France | 19.4 | |
| 169 | Serilingampalle Telangana, India | 19.4 | |
| 171 | Belagavi Karnataka, India | 19.2 | |
| 172 | Yuanlin Taiwan, Taiwan | 19.1 | |
| 173 | Jodhpur Rajasthan, India | 19.0 | |
| 173 | Mumbai Maharashtra, India | 19.0 | |
| 173 | Tainan Taiwan, Taiwan | 19.0 | |
| 173 | Paris Île-de-France, France | 19.0 | |
| 177 | Iloilo low-cost sensors Western Visayas, Philippines | 18.9 | |
| 177 | Domont Île-de-France, France | 18.9 | |
| 179 | Gudalur Tamil Nadu, India | 18.8 | |
| 179 | Overijse low-cost sensors Flanders, Belgium | 18.8 | |
| 181 | Bareilly Uttar Pradesh, India | 18.6 | |
| 181 | Rouen Normandy, France | 18.6 | |
| 181 | Monterrey Nuevo León, Mexico | 18.6 | |
| 184 | Louviers Normandy, France | 18.5 | |
| 184 | San Miguel de Allende Guanajuato, Mexico | 18.5 | |
| 186 | Dhule Maharashtra, India | 18.3 | |
| 186 | Vijayapura Karnataka, India | 18.3 | |
| 188 | Beigang Taiwan, Taiwan | 18.2 | |
| 189 | Blantyre low-cost sensors Southern Region, Malawi | 18.1 | |
| 190 | Taichung Taiwan, Taiwan | 18.0 | |
| 190 | Nandri Rajasthan, India | 18.0 | |
| 192 | Voluntari Ilfov, Romania | 17.8 | |
| 193 | Chandigarh Chandigarh, India | 17.7 | |
| 193 | Tournai Wallonia, Belgium | 17.7 | |
| 193 | Pimpri-Chinchwad Maharashtra, India | 17.7 | |
| 196 | Popeşti-Leordeni Ilfov, Romania | 17.6 | |
| 196 | Durgapur West Bengal, India | 17.6 | |
| 196 | Otegen Batyra low-cost sensors Almaty Region, Kazakhstan | 17.6 | |
| 199 | Târgu Mureş low-cost sensors Mureș County, Romania | 17.5 | |
| 199 | Beitbridge low-cost sensors Matabeleland South Province, Zimbabwe | 17.5 |
Top 200 of 2,261 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