SmogRank / History / November 4, 2025

Most polluted cities on November 4, 2025

2,098 cities ranked by their average PM2.5 over the day; the worst was Faisalabad, Pakistan, at 309.5 µg/m³. Each city's own local calendar day.

  1. 1Faisalabadlow-cost sensorsPunjab, Pakistan
    309.520.6×
  2. 2Gujranwalalow-cost sensorsPunjab, Pakistan
    250.016.7×
  3. 3Lahorelow-cost sensorsPunjab, Pakistan
    219.014.6×
  4. 4Multanlow-cost sensorsPunjab, Pakistan
    217.014.5×
  5. 5Stodůlkylow-cost sensorsPrague, Czechia
    200.013.3×
  6. 6SrinagarJammu and Kashmir, India
    144.09.6×
  7. 7Changchunlow-cost sensorsJilin, China
    143.59.6×
  8. 8Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    143.09.5×
  9. 9Sialkotlow-cost sensorsPunjab, Pakistan
    136.59.1×
  10. 10DelhiDelhi, India
    99.26.6×
  11. 11Bahawalpurlow-cost sensorsPunjab, Pakistan
    98.26.5×
  12. 12Rawalpindilow-cost sensorsPunjab, Pakistan
    97.96.5×
  13. 13Kampalalow-cost sensorsCentral Region, Uganda
    89.66.0×
  14. 14Islamabadlow-cost sensorsIslamabad, Pakistan
    80.15.3×
  15. 15DushanbeDushanbe, Tajikistan
    75.55.0×
  16. 16Hyderabadlow-cost sensorsSindh, Pakistan
    74.85.0×
  17. 17Lilongwelow-cost sensorsCentral Region, Malawi
    64.94.3×
  18. 18Istanbullow-cost sensorsIstanbul, Turkey
    53.83.6×
  19. 19Karachilow-cost sensorsSindh, Pakistan
    47.63.2×
  20. 20Dubailow-cost sensorsDubai, United Arab Emirates
    45.43.0×
  21. 21HyderabadTelangana, India
    44.63.0×
  22. 22Banja LukaSrpska, Bosnia and Herzegovina
    43.82.9×
  23. 23Lagoslow-cost sensorsLagos, Nigeria
    43.12.9×
  24. 24Hacienda Santa FeJalisco, Mexico
    41.82.8×
  25. 25Blantyrelow-cost sensorsSouthern Region, Malawi
    41.22.7×
  26. 26Pasadenalow-cost sensorsCalifornia, United States
    40.32.7×
  27. 27Yerevanlow-cost sensorsYerevan, Armenia
    37.72.5×
  28. 28PruszkówMazovia, Poland
    35.42.4×
  29. 29Vereeniginglow-cost sensorsGauteng, South Africa
    34.32.3×
  30. 30AguascalientesAguascalientes, Mexico
    34.02.3×
  31. 31Quezon Citylow-cost sensorsNational Capital Region, Philippines
    32.82.2×
  32. 32TlaquepaqueJalisco, Mexico
    32.22.1×
  33. 33San Francisco De BorjaLima region, Peru
    32.02.1×
  34. 34JakartaJakarta, Indonesia
    31.82.1×
  35. 34XonacatlánMéxico, Mexico
    31.82.1×
  36. 36GuadalajaraJalisco, Mexico
    31.62.1×
  37. 37KigaliKigali, Rwanda
    31.52.1×
  38. 38LimaLima Province, Peru
    31.42.1×
  39. 39Kathmandulow-cost sensorsBagmati Province, Nepal
    30.92.1×
  40. 40WłocławekKujawsko-Pomorskie, Poland
    30.52.0×
  41. 41Santa AnitaJalisco, Mexico
    29.72.0×
  42. 42RadomskoŁódź Voivodeship, Poland
    29.62.0×
  43. 43CholulaPuebla, Mexico
    29.11.9×
  44. 44JarosławSubcarpathia, Poland
    28.61.9×
  45. 45San Salvador TizatlalliMéxico, Mexico
    28.31.9×
  46. 46Santa Anita - Los FicusLima region, Peru
    28.21.9×
  47. 47MexicaliBaja California, Mexico
    27.91.9×
  48. 48ZamośćLublin, Poland
    27.41.8×
  49. 49Zagreblow-cost sensorsZagreb, Croatia
    27.21.8×
  50. 50DębicaSubcarpathia, Poland
    26.91.8×
  51. 50Ciudad NezahualcoyotlMéxico, Mexico
    26.91.8×
  52. 52San Francisco TlalcilalcalpanMéxico, Mexico
    26.61.8×
  53. 53LewistonIdaho, United States
    26.31.8×
  54. 54GarcíaNuevo León, Mexico
    26.21.7×
  55. 55Villa Poeta José Gálvez BarrenecheaLima region, Peru
    26.01.7×
  56. 56Bijelo PoljeBijelo Polje, Montenegro
    25.81.7×
  57. 57TarnówLesser Poland, Poland
    25.71.7×
  58. 58OtwockMazovia, Poland
    25.21.7×
  59. 58Quettalow-cost sensorsBalochistan, Pakistan
    25.21.7×
  60. 60KłodzkoLower Silesia, Poland
    24.71.6×
  61. 61NiskoSubcarpathia, Poland
    24.61.6×
  62. 61Naucalpan de JuárezMéxico, Mexico
    24.61.6×
  63. 63KielceŚwiętokrzyskie, Poland
    24.31.6×
  64. 63SarajevoFederation of B&H, Bosnia and Herzegovina
    24.31.6×
  65. 65CalexicoCalifornia, United States
    24.01.6×
  66. 66Addis AbabaAddis Ababa, Ethiopia
    23.91.6×
  67. 67MoscowIdaho, United States
    23.81.6×
  68. 68Skarżysko-KamiennaŚwiętokrzyskie, Poland
    23.71.6×
  69. 69TravnikFederation of B&H, Bosnia and Herzegovina
    23.61.6×
  70. 70Mexico CityMexico City, Mexico
    23.31.6×
  71. 70ComptonCalifornia, United States
    23.31.6×
  72. 72Dimitrovgradlow-cost sensorsHaskovo, Bulgaria
    23.01.5×
  73. 72StrumicaStrumica, North Macedonia
    23.01.5×
  74. 72Wan ChaiWan Chai, Hong Kong
    23.01.5×
  75. 75Delanolow-cost sensorsCalifornia, United States
    22.91.5×
  76. 75Hawthornelow-cost sensorsCalifornia, United States
    22.91.5×
  77. 77BadgerAlaska, United States
    22.81.5×
  78. 78Tularelow-cost sensorsCalifornia, United States
    22.51.5×
  79. 79Queenstown Estatelow-cost sensorsSingapore
    22.41.5×
  80. 80Temalow-cost sensorsGreater Accra, Ghana
    22.31.5×
  81. 80Inglewoodlow-cost sensorsCalifornia, United States
    22.31.5×
  82. 82Los AngelesCalifornia, United States
    22.21.5×
  83. 83KutnoŁódź Voivodeship, Poland
    21.81.5×
  84. 84Ashaimanlow-cost sensorsGreater Accra, Ghana
    21.71.4×
  85. 85GlendoraCalifornia, United States
    21.31.4×
  86. 86LublinLublin, Poland
    21.21.4×
  87. 86Tongaatlow-cost sensorsKwaZulu-Natal, South Africa
    21.21.4×
  88. 86KaliszGreater Poland, Poland
    21.21.4×
  89. 86RiversideCalifornia, United States
    21.21.4×
  90. 90Santa Monicalow-cost sensorsCalifornia, United States
    21.01.4×
  91. 91RadomMazovia, Poland
    20.91.4×
  92. 91CallaoCallao, Peru
    20.91.4×
  93. 93RzeszówSubcarpathia, Poland
    20.71.4×
  94. 94Torrancelow-cost sensorsCalifornia, United States
    20.61.4×
  95. 95Carsonlow-cost sensorsCalifornia, United States
    20.51.4×
  96. 96Ciudad Benito JuárezNuevo León, Mexico
    20.41.4×
  97. 96Agouralow-cost sensorsCalifornia, United States
    20.41.4×
  98. 98ŁaskŁódź Voivodeship, Poland
    20.11.3×
  99. 98Jurupa ValleyCalifornia, United States
    20.11.3×
  100. 100BurbankCalifornia, United States
    19.91.3×
  101. 100Goletalow-cost sensorsCalifornia, United States
    19.91.3×
  102. 102Sukutalow-cost sensorsWestern, Gambia
    19.81.3×
  103. 102Tula de AllendeHidalgo, Mexico
    19.81.3×
  104. 104Thièslow-cost sensorsThies, Senegal
    19.71.3×
  105. 104AthensGeorgia, United States
    19.71.3×
  106. 106FontanaCalifornia, United States
    19.61.3×
  107. 106El PasoTexas, United States
    19.61.3×
  108. 108AugustówPodlasie, Poland
    19.31.3×
  109. 109Ciudad General EscobedoNuevo León, Mexico
    19.21.3×
  110. 110VolosThessaly, Greece
    19.01.3×
  111. 110Santa CatarinaNuevo León, Mexico
    19.01.3×
  112. 112WawerMazovia, Poland
    18.91.3×
  113. 112Tuen MunTuen Mun, Hong Kong
    18.91.3×
  114. 114Beitbridgelow-cost sensorsMatabeleland South Province, Zimbabwe
    18.71.2×
  115. 114Ciudad JuárezChihuahua, Mexico
    18.71.2×
  116. 116ŁódźŁódź Voivodeship, Poland
    18.61.2×
  117. 117GijónAsturias, Spain
    18.51.2×
  118. 118Accralow-cost sensorsGreater Accra, Ghana
    18.31.2×
  119. 118MonacoMunicipality of Monaco, Monaco
    18.31.2×
  120. 118Jastrzębie ZdrójSilesia, Poland
    18.31.2×
  121. 121ChihuahuaChihuahua, Mexico
    18.21.2×
  122. 121PullmanWashington, United States
    18.21.2×
  123. 123StarachowiceŚwiętokrzyskie, Poland
    18.11.2×
  124. 123Mixquiahuala de JuárezHidalgo, Mexico
    18.11.2×
  125. 125BiałystokPodlasie, Poland
    18.01.2×
  126. 125SalamancaGuanajuato, Mexico
    18.01.2×
  127. 127Medina Estateslow-cost sensorsGreater Accra, Ghana
    17.81.2×
  128. 127MoreliaMichoacán, Mexico
    17.81.2×
  129. 129ElblągWarmia-Masuria, Poland
    17.71.2×
  130. 130OurenseGalicia, Spain
    17.51.2×
  131. 131KrakówLesser Poland, Poland
    17.41.2×
  132. 131Long BeachCalifornia, United States
    17.41.2×
  133. 131VisaliaCalifornia, United States
    17.41.2×
  134. 134Czechowice-DziedziceSilesia, Poland
    17.31.2×
  135. 135BelgradeCentral Serbia, Serbia
    17.11.1×
  136. 135LučenecBanská Bystrica Region, Slovakia
    17.11.1×
  137. 135FuenlabradaMadrid, Spain
    17.11.1×
  138. 135AnaheimCalifornia, United States
    17.11.1×
  139. 139ToruńKujawsko-Pomorskie, Poland
    17.01.1×
  140. 139TijuanaBaja California, Mexico
    17.01.1×
  141. 141San Tung Chung HangIslands, Hong Kong
    16.71.1×
  142. 141NogalesArizona, United States
    16.71.1×
  143. 143MielecSubcarpathia, Poland
    16.51.1×
  144. 143LegionowoMazovia, Poland
    16.51.1×
  145. 145TuxtlaChiapas, Mexico
    16.41.1×
  146. 145Lomitalow-cost sensorsCalifornia, United States
    16.41.1×
  147. 145Prince GeorgeBritish Columbia, Canada
    16.41.1×
  148. 148Mong KokYau Tsim Mong District, Hong Kong
    16.21.1×
  149. 149OlsztynWarmia-Masuria, Poland
    16.11.1×
  150. 150Sham Shui PoSham Shui Po District, Hong Kong
    16.01.1×
  151. 151Hararelow-cost sensorsHarare, Zimbabwe
    15.91.1×
  152. 151Kwai ChungKwai Tsing District, Hong Kong
    15.91.1×
  153. 153Tai PoTai Po, Hong Kong
    15.81.1×
  154. 153Imarichō-kōSaga, Japan
    15.81.1×
  155. 153HanfordCalifornia, United States
    15.81.1×
  156. 156Debrecenlow-cost sensorsHajdú-Bihar, Hungary
    15.71.0×
  157. 156Shakaskraallow-cost sensorsKwaZulu-Natal, South Africa
    15.71.0×
  158. 156Taguiglow-cost sensorsNational Capital Region, Philippines
    15.71.0×
  159. 156OpoleOpole Voivodeship, Poland
    15.71.0×
  160. 156BrzegOpole Voivodeship, Poland
    15.71.0×
  161. 156AvilésAsturias, Spain
    15.71.0×
  162. 162IsahayaNagasaki, Japan
    15.61.0×
  163. 162El CentroCalifornia, United States
    15.61.0×
  164. 164CiechanówMazovia, Poland
    15.51.0×
  165. 164HitaOita, Japan
    15.51.0×
  166. 164GdyniaPomerania, Poland
    15.51.0×
  167. 167WrocławLower Silesia, Poland
    15.41.0×
  168. 168ThessaloníkiCentral Macedonia, Greece
    15.31.0×
  169. 168Tin Shui WaiYuen Long, Hong Kong
    15.31.0×
  170. 168ŌmutaFukuoka, Japan
    15.31.0×
  171. 171Bangkoklow-cost sensorsBangkok, Thailand
    15.21.0×
  172. 171TamanaKumamoto, Japan
    15.21.0×
  173. 171TraunreutBavaria, Germany
    15.21.0×
  174. 171PoznańGreater Poland, Poland
    15.21.0×
  175. 171ManlleuCatalonia, Spain
    15.21.0×
  176. 171AraoKumamoto, Japan
    15.21.0×
  177. 177Tsuen WanTsuen Wan, Hong Kong
    15.11.0×
  178. 177TepicNayarit, Mexico
    15.11.0×
  179. 177McAlesterOklahoma, United States
    15.11.0×
  180. 177HigashigōSaga, Japan
    15.11.0×
  181. 181PłockMazovia, Poland
    15.01.0×
  182. 181LafayetteLouisiana, United States
    15.01.0×
  183. 183YumaArizona, United States
    14.91.0×
  184. 184KashimaSaga, Japan
    14.81.0×
  185. 185CuernavacaMorelos, Mexico
    14.71.0×
  186. 185ZapopanJalisco, Mexico
    14.71.0×
  187. 185ConroeTexas, United States
    14.71.0×
  188. 188WarsawMazovia, Poland
    14.61.0×
  189. 188VictoriaCentral and Western, Hong Kong
    14.61.0×
  190. 188Simi ValleyCalifornia, United States
    14.61.0×
  191. 191Zacatepec de HidalgoMorelos, Mexico
    14.51.0×
  192. 191San Martin Texmelucan de LabastidaPuebla, Mexico
    14.51.0×
  193. 191HoustonTexas, United States
    14.51.0×
  194. 194Sau Mau PingKwun Tong District, Hong Kong
    14.41.0×
  195. 194Ureshinomachi-shimojukuSaga, Japan
    14.41.0×
  196. 194Tanushimarumachi-toyokiFukuoka, Japan
    14.41.0×
  197. 194ChikugoFukuoka, Japan
    14.41.0×
  198. 198Haskovolow-cost sensorsHaskovo, Bulgaria
    14.31.0×
  199. 198ValdemoroMadrid, Spain
    14.31.0×
  200. 198San DiegoCalifornia, United States
    14.31.0×

Top 200 of 2,098 shown.

Good0–9.0
Moderate9.1–35.4
Sensitive groups35.5–55.4
Unhealthy55.5–125.4
Very unhealthy125.5–225.4
Hazardous225.5+