SmogRank / History / week of September 9, 2024

Most polluted cities, week of September 9, 2024

1,522 cities ranked by their average PM2.5 over the 7 days; the worst was Kinshasa, Democratic Republic of the Congo, at 98.5 µg/m³. A city needs measurements on 70% of the days to be ranked.

  1. 1Kinshasalow-cost sensorsKinshasa, Democratic Republic of the Congo
    98.5
  2. 2DushanbeDushanbe, Tajikistan
    72.8
  3. 3Asunciónlow-cost sensorsAsuncion, Paraguay
    66.5
  4. 4Lahorelow-cost sensorsPunjab, Pakistan
    62.9
  5. 5Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    56.4
  6. 6Santa Anita - Los FicusLima region, Peru
    52.2
  7. 7Fort McMurrayAlberta, Canada
    51.7
  8. 8BaghdadBaghdad, Iraq
    49.9
  9. 9KigaliKigali, Rwanda
    44.6
  10. 10YanacanchaPasco, Peru
    42.8
  11. 11Addis AbabaAddis Ababa, Ethiopia
    42.1
  12. 12Şabāḩ as SālimMubārak al Kabīr, Kuwait
    40.5
  13. 13Kampalalow-cost sensorsCentral Region, Uganda
    39.6
  14. 14CairoCairo, Egypt
    38.7
  15. 15JakartaJakarta, Indonesia
    36.8
  16. 16Islamabadlow-cost sensorsIslamabad, Pakistan
    36.7
  17. 17AntananarivoAnalamanga, Madagascar
    36.1
  18. 18Villa Poeta José Gálvez BarrenecheaLima region, Peru
    35.4
  19. 19Vereeniginglow-cost sensorsGauteng, South Africa
    34.5
  20. 20San Francisco De BorjaLima region, Peru
    33.3
  21. 21HanoiHanoi, Vietnam
    32.4
  22. 22BendOregon, United States
    31.5
  23. 23ButteMontana, United States
    29.3
  24. 24N'DjamenaN’Djaména, Chad
    29.1
  25. 25Jacobo HunterArequipa, Peru
    28.8
  26. 26BismarckNorth Dakota, United States
    28.7
  27. 27Dhakalow-cost sensorsDhaka Division, Bangladesh
    27.6
  28. 28GuangzhouGuangdong, China
    25.7
  29. 29Prince AlbertSaskatchewan, Canada
    25.6
  30. 30DelhiDelhi, India
    25.5
  31. 31YauriCuzco Department, Peru
    24.9
  32. 32Wan ChaiWan Chai, Hong Kong
    24.7
  33. 33BeijingBeijing, China
    23.4
  34. 34San ClementeIca, Peru
    23.2
  35. 35FontanaCalifornia, United States
    23.0
  36. 36HelenaMontana, United States
    22.6
  37. 37Kathmandulow-cost sensorsBagmati Province, Nepal
    22.0
  38. 38MaputoMaputo City, Mozambique
    21.4
  39. 38KolkataWest Bengal, India
    21.4
  40. 40ChennaiTamil Nadu, India
    21.2
  41. 41Jurupa ValleyCalifornia, United States
    20.6
  42. 42GlendoraCalifornia, United States
    20.4
  43. 43Abujalow-cost sensorsFCT, Nigeria
    20.1
  44. 44Boulder CityNevada, United States
    19.9
  45. 45ChocopeLa Libertad, Peru
    19.6
  46. 45HendersonNevada, United States
    19.6
  47. 47RiversideCalifornia, United States
    19.5
  48. 48West FargoNorth Dakota, United States
    19.3
  49. 49BozemanMontana, United States
    19.1
  50. 50Iloilolow-cost sensorsWestern Visayas, Philippines
    19.0
  51. 51MissoulaMontana, United States
    18.8
  52. 52GilletteWyoming, United States
    18.6
  53. 53IndioCalifornia, United States
    18.2
  54. 53VictorvilleCalifornia, United States
    18.2
  55. 55AshgabatAshgabat, Turkmenistan
    17.8
  56. 56Las VegasNevada, United States
    17.7
  57. 57AlgiersAlgiers, Algeria
    17.6
  58. 58MesquiteNevada, United States
    17.4
  59. 58EdmontonAlberta, Canada
    17.4
  60. 60Tuen MunTuen Mun, Hong Kong
    16.9
  61. 60Tin Shui WaiYuen Long, Hong Kong
    16.9
  62. 60RedmondOregon, United States
    16.9
  63. 63Debrecenlow-cost sensorsHajdú-Bihar, Hungary
    16.7
  64. 63AugustówPodlasie, Poland
    16.7
  65. 65GrajewoPodlasie, Poland
    16.6
  66. 66Summerlin SouthNevada, United States
    16.5
  67. 67XinyingTaiwan, Taiwan
    16.4
  68. 68YuanlinTaiwan, Taiwan
    16.3
  69. 68Lake ElsinoreCalifornia, United States
    16.3
  70. 70HyderabadTelangana, India
    16.2
  71. 70JinchengFukien, Taiwan
    16.2
  72. 72FanlingNorth District, Hong Kong
    15.9
  73. 72BanningCalifornia, United States
    15.9
  74. 74EnterpriseNevada, United States
    15.8
  75. 75Spring ValleyNevada, United States
    15.6
  76. 76Columbialow-cost sensorsMissouri, United States
    15.5
  77. 77Mong KokYau Tsim Mong District, Hong Kong
    15.4
  78. 78ErlunTaiwan, Taiwan
    15.3
  79. 79NyíregyházaSzabolcs-Szatmár-Bereg, Hungary
    15.1
  80. 80Twin FallsIdaho, United States
    15.0
  81. 81SaskatoonSaskatchewan, Canada
    14.8
  82. 82LublinLublin, Poland
    14.7
  83. 82ShanghaiShanghai, China
    14.7
  84. 82Tai PoTai Po, Hong Kong
    14.7
  85. 82BillingsMontana, United States
    14.7
  86. 86PrzemyślSubcarpathia, Poland
    14.5
  87. 86ŌtsukiYamanashi, Japan
    14.5
  88. 88Kwai ChungKwai Tsing District, Hong Kong
    14.4
  89. 89OtwockMazovia, Poland
    14.3
  90. 89BuziTaiwan, Taiwan
    14.3
  91. 89ZhubeiTaiwan, Taiwan
    14.3
  92. 89Accralow-cost sensorsGreater Accra, Ghana
    14.3
  93. 93PruszkówMazovia, Poland
    14.1
  94. 94BiałystokPodlasie, Poland
    13.9
  95. 95ŁukówLublin, Poland
    13.8
  96. 96Konstancin-JeziornaMazovia, Poland
    13.7
  97. 96MillcreekUtah, United States
    13.7
  98. 98Chiang Mailow-cost sensorsChiang Mai, Thailand
    13.6
  99. 98Bangkoklow-cost sensorsBangkok, Thailand
    13.6
  100. 98FengshanTakao, Taiwan
    13.6
  101. 98ErlinTaiwan, Taiwan
    13.6
  102. 102Tsuen WanTsuen Wan, Hong Kong
    13.5
  103. 102AberdeenSouthern District, Hong Kong
    13.5
  104. 102TakasakiGunma, Japan
    13.5
  105. 105BeigangTaiwan, Taiwan
    13.4
  106. 105AberdeenSouth Dakota, United States
    13.4
  107. 107ChanghuaTaiwan, Taiwan
    13.3
  108. 107Medicine HatAlberta, Canada
    13.3
  109. 109WatertownSouth Dakota, United States
    13.2
  110. 110ZamośćLublin, Poland
    13.1
  111. 110LewistonIdaho, United States
    13.1
  112. 112ToufenTaiwan, Taiwan
    13.0
  113. 113LegionowoMazovia, Poland
    12.9
  114. 113San Tung Chung HangIslands, Hong Kong
    12.9
  115. 113RedfordMichigan, United States
    12.9
  116. 113Nepeanlow-cost sensorsOntario, Canada
    12.9
  117. 113ReginaSaskatchewan, Canada
    12.9
  118. 118RadomMazovia, Poland
    12.8
  119. 118PuliTaiwan, Taiwan
    12.8
  120. 118MeridianIdaho, United States
    12.8
  121. 118HamiltonOntario, Canada
    12.8
  122. 122WarsawMazovia, Poland
    12.7
  123. 122Salt Lake CityUtah, United States
    12.7
  124. 122Sherwood ParkAlberta, Canada
    12.7
  125. 125Sham Shui PoSham Shui Po District, Hong Kong
    12.6
  126. 125ChimboteAncash, Peru
    12.6
  127. 125ChikugoFukuoka, Japan
    12.6
  128. 128TaichungTaiwan, Taiwan
    12.5
  129. 128Sau Mau PingKwun Tong District, Hong Kong
    12.5
  130. 128Jurong WestSingapore
    12.5
  131. 131MiskolcBorsod-Abaúj-Zemplén, Hungary
    12.4
  132. 131EłkWarmia-Masuria, Poland
    12.4
  133. 131Great FallsMontana, United States
    12.4
  134. 134Ang Mo Kio New TownSingapore
    12.3
  135. 134TijuanaBaja California, Mexico
    12.3
  136. 134Little RockArkansas, United States
    12.3
  137. 137MumbaiMaharashtra, India
    12.2
  138. 137NampaIdaho, United States
    12.2
  139. 139NogalesArizona, United States
    12.1
  140. 139BarrieOntario, Canada
    12.1
  141. 141LawrencevilleGeorgia, United States
    12.0
  142. 141ShreveportLouisiana, United States
    12.0
  143. 141Los AngelesCalifornia, United States
    12.0
  144. 141Rapid CitySouth Dakota, United States
    12.0
  145. 145TaibaoTaiwan, Taiwan
    11.9
  146. 145NantouTaiwan, Taiwan
    11.9
  147. 145Sha TinSha Tin, Hong Kong
    11.9
  148. 145VictoriaCentral and Western, Hong Kong
    11.9
  149. 145OregonOhio, United States
    11.9
  150. 145TooeleUtah, United States
    11.9
  151. 151Ulu BedokSingapore
    11.8
  152. 151KatowiceSilesia, Poland
    11.8
  153. 151HarrisburgPennsylvania, United States
    11.8
  154. 154DouliuTaiwan, Taiwan
    11.7
  155. 154MiaoliTaiwan, Taiwan
    11.7
  156. 154ZhushanTaiwan, Taiwan
    11.7
  157. 154Santa ClaritaCalifornia, United States
    11.7
  158. 158JarosławSubcarpathia, Poland
    11.6
  159. 158NeiliTaiwan, Taiwan
    11.6
  160. 158KureHiroshima, Japan
    11.6
  161. 158Lagoslow-cost sensorsLagos, Nigeria
    11.6
  162. 158WyomingMichigan, United States
    11.6
  163. 163MielecSubcarpathia, Poland
    11.5
  164. 163OremUtah, United States
    11.5
  165. 163West JordanUtah, United States
    11.5
  166. 163Swift CurrentSaskatchewan, Canada
    11.5
  167. 163ChikuseiIbaraki, Japan
    11.5
  168. 163JōetsuNiigata, Japan
    11.5
  169. 163La Crescenta-Montroselow-cost sensorsCalifornia, United States
    11.5
  170. 170WawerMazovia, Poland
    11.4
  171. 170Red DeerAlberta, Canada
    11.4
  172. 172PułtuskMazovia, Poland
    11.3
  173. 172DaxiTaiwan, Taiwan
    11.3
  174. 172Saint JosephMissouri, United States
    11.3
  175. 172RochesterMinnesota, United States
    11.3
  176. 172ShakopeeMinnesota, United States
    11.3
  177. 172BurbankCalifornia, United States
    11.3
  178. 172El PasoTexas, United States
    11.3
  179. 179NiskoSubcarpathia, Poland
    11.2
  180. 179XizhouTaiwan, Taiwan
    11.2
  181. 179ClevelandOhio, United States
    11.2
  182. 179Spanish ForkUtah, United States
    11.2
  183. 183Skarżysko-KamiennaŚwiętokrzyskie, Poland
    11.1
  184. 183KasaokaOkayama, Japan
    11.1
  185. 183Bay CityMichigan, United States
    11.1
  186. 183BoiseIdaho, United States
    11.1
  187. 187ImabariEhime, Japan
    11.0
  188. 187BirminghamAlabama, United States
    11.0
  189. 187ConroeTexas, United States
    11.0
  190. 187BrookfieldIllinois, United States
    11.0
  191. 187SheridanWyoming, United States
    11.0
  192. 192NiihamaEhime, Japan
    10.9
  193. 192ImaichiTochigi, Japan
    10.9
  194. 192GionHiroshima, Japan
    10.9
  195. 192TopekaKansas, United States
    10.9
  196. 192VisaliaCalifornia, United States
    10.9
  197. 192BrantfordOntario, Canada
    10.9
  198. 192New Taipei CityTaipei, Taiwan
    10.9
  199. 199Chiayi CityTaiwan, Taiwan
    10.8
  200. 199BurnsvilleMinnesota, United States
    10.8

Top 200 of 1,522 shown.

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