SmogRank / History / November 2023

Most polluted cities, November 2023

1,891 cities ranked by their average PM2.5 over the 30 days; the worst was Lahore, Pakistan, at 251.1 µg/m³. A city needs measurements on 70% of the days to be ranked.

  1. 1Lahorelow-cost sensorsPunjab, Pakistan
    251.1
  2. 2DelhiDelhi, India
    234.6
  3. 3N'DjamenaN’Djaména, Chad
    131.9
  4. 4KolkataWest Bengal, India
    128.1
  5. 5Dhakalow-cost sensorsDhaka Division, Bangladesh
    109.3
  6. 6Karachilow-cost sensorsSindh, Pakistan
    102.9
  7. 7Islamabadlow-cost sensorsIslamabad, Pakistan
    75.8
  8. 8HyderabadTelangana, India
    73.8
  9. 8MumbaiMaharashtra, India
    73.8
  10. 10Ulan BatorUlaanbaatar, Mongolia
    72.3
  11. 11MexicaliBaja California, Mexico
    56.3
  12. 12CalexicoCalifornia, United States
    51.5
  13. 13CairoCairo, Egypt
    51.3
  14. 14SarajevoFederation of B&H, Bosnia and Herzegovina
    47.6
  15. 15Abujalow-cost sensorsFCT, Nigeria
    46.0
  16. 16DushanbeDushanbe, Tajikistan
    45.5
  17. 17JakartaJakarta, Indonesia
    45.0
  18. 18MoreliaMichoacán, Mexico
    44.4
  19. 19Şabāḩ as SālimMubārak al Kabīr, Kuwait
    41.3
  20. 20BeijingBeijing, China
    36.9
  21. 21TetovoTetovo, North Macedonia
    36.8
  22. 22ShenyangLiaoning, China
    35.3
  23. 23PristinaPristina, Kosovo
    34.3
  24. 24GuangzhouGuangdong, China
    32.6
  25. 25Banja LukaSrpska, Bosnia and Herzegovina
    32.0
  26. 26Victoria de DurangoDurango, Mexico
    31.6
  27. 27Bangkoklow-cost sensorsBangkok, Thailand
    30.8
  28. 28GuadalajaraJalisco, Mexico
    30.2
  29. 29NišCentral Serbia, Serbia
    29.8
  30. 30AntananarivoAnalamanga, Madagascar
    29.6
  31. 31Almatylow-cost sensorsAlmaty, Kazakhstan
    29.2
  32. 32JeddahMecca Region, Saudi Arabia
    28.0
  33. 33Chiang Mailow-cost sensorsChiang Mai, Thailand
    27.5
  34. 34KavadarciKavadarci, North Macedonia
    27.4
  35. 35Ciudad Benito JuárezNuevo León, Mexico
    27.0
  36. 36TolucaMéxico, Mexico
    26.3
  37. 37Wan ChaiWan Chai, Hong Kong
    26.0
  38. 38SkopjeGrad Skopje, North Macedonia
    25.9
  39. 39San Francisco TlalcilalcalpanMéxico, Mexico
    25.8
  40. 40KigaliKigali, Rwanda
    25.6
  41. 41CholulaPuebla, Mexico
    25.5
  42. 42AlessandriaPiedmont, Italy
    25.1
  43. 43San Salvador TizatlalliMéxico, Mexico
    24.7
  44. 44Tuen MunTuen Mun, Hong Kong
    24.3
  45. 44OurenseGalicia, Spain
    24.3
  46. 46Santa CatarinaNuevo León, Mexico
    23.6
  47. 47CapannoriTuscany, Italy
    23.3
  48. 48BitolaBitola, North Macedonia
    23.2
  49. 49VelesVeles, North Macedonia
    21.2
  50. 49Ciudad ApodacaNuevo León, Mexico
    21.2
  51. 51SalamancaGuanajuato, Mexico
    21.1
  52. 52Tin Shui WaiYuen Long, Hong Kong
    20.5
  53. 53YangonYangon, Myanmar
    20.2
  54. 54HanfordCalifornia, United States
    19.7
  55. 55MonterreyNuevo León, Mexico
    19.6
  56. 56Mong KokYau Tsim Mong District, Hong Kong
    19.3
  57. 57CelayaGuanajuato, Mexico
    19.2
  58. 58FanlingNorth District, Hong Kong
    19.1
  59. 58MontemurloTuscany, Italy
    19.1
  60. 58TijuanaBaja California, Mexico
    19.1
  61. 61BakuBaki, Azerbaijan
    18.8
  62. 61Tai PoTai Po, Hong Kong
    18.8
  63. 63ThessaloníkiCentral Macedonia, Greece
    18.6
  64. 64Ciudad General EscobedoNuevo León, Mexico
    18.4
  65. 65FresnoCalifornia, United States
    18.3
  66. 66Addis AbabaAddis Ababa, Ethiopia
    18.2
  67. 66ManlleuCatalonia, Spain
    18.2
  68. 68IlindenIlinden, North Macedonia
    18.1
  69. 69CorcoranCalifornia, United States
    17.7
  70. 70TurinPiedmont, Italy
    17.6
  71. 71KazincbarcikaBorsod-Abaúj-Zemplén, Hungary
    17.5
  72. 71Kwai ChungKwai Tsing District, Hong Kong
    17.5
  73. 73San Tung Chung HangIslands, Hong Kong
    17.4
  74. 74Sau Mau PingKwun Tong District, Hong Kong
    17.3
  75. 75SaltilloCoahuila, Mexico
    17.1
  76. 76Tsuen WanTsuen Wan, Hong Kong
    17.0
  77. 76BirminghamAlabama, United States
    17.0
  78. 78BakersfieldCalifornia, United States
    16.9
  79. 79Sham Shui PoSham Shui Po District, Hong Kong
    16.8
  80. 80BadgerAlaska, United States
    16.7
  81. 81BelgradeCentral Serbia, Serbia
    16.5
  82. 81VictoriaCentral and Western, Hong Kong
    16.5
  83. 81VisaliaCalifornia, United States
    16.5
  84. 84PratoTuscany, Italy
    16.2
  85. 85Sha TinSha Tin, Hong Kong
    16.1
  86. 85StocktonCalifornia, United States
    16.1
  87. 87AltamontOregon, United States
    16.0
  88. 88MiskolcBorsod-Abaúj-Zemplén, Hungary
    15.9
  89. 88GrazStyria, Austria
    15.9
  90. 88Asunciónlow-cost sensorsAsuncion, Paraguay
    15.9
  91. 91DublinOhio, United States
    15.8
  92. 92AthensAttica, Greece
    15.7
  93. 92KurashikiOkayama, Japan
    15.7
  94. 94KasaokaOkayama, Japan
    15.5
  95. 94JesiThe Marches, Italy
    15.5
  96. 94TurlockCalifornia, United States
    15.5
  97. 97IrapuatoGuanajuato, Mexico
    15.3
  98. 98ChikugoFukuoka, Japan
    15.1
  99. 99Ciudad JuárezChihuahua, Mexico
    15.0
  100. 99Arden-ArcadeCalifornia, United States
    15.0
  101. 101ChikuseiIbaraki, Japan
    14.9
  102. 102Quezon Citylow-cost sensorsNational Capital Region, Philippines
    14.8
  103. 102Falconara MarittimaThe Marches, Italy
    14.8
  104. 102ArezzoTuscany, Italy
    14.8
  105. 102ModestoCalifornia, United States
    14.8
  106. 106Cluj-NapocaCluj County, Romania
    14.7
  107. 106Ulu BedokSingapore
    14.7
  108. 106MonacoMunicipality of Monaco, Monaco
    14.7
  109. 109NagaiYamagata, Japan
    14.6
  110. 109YatomiAichi, Japan
    14.6
  111. 111AlgiersAlgiers, Algeria
    14.5
  112. 111DěčínÚstí nad Labem Region, Czechia
    14.5
  113. 113AberdeenSouthern District, Hong Kong
    14.4
  114. 113MiyakonojōMiyazaki, Japan
    14.4
  115. 113FlorenceTuscany, Italy
    14.4
  116. 113ComptonCalifornia, United States
    14.4
  117. 117Tanushimarumachi-toyokiFukuoka, Japan
    14.3
  118. 117PueblaPuebla, Mexico
    14.3
  119. 119Ang Mo Kio New TownSingapore
    14.2
  120. 119BogotáBogota D.C., Colombia
    14.2
  121. 119ColumbusGeorgia, United States
    14.2
  122. 119Jardines de la SillaNuevo León, Mexico
    14.2
  123. 123Sevlievolow-cost sensorsGabrovo, Bulgaria
    14.1
  124. 123KazoSaitama, Japan
    14.1
  125. 123Mollet del VallèsCatalonia, Spain
    14.1
  126. 123Tepeji del Río de OcampoHidalgo, Mexico
    14.1
  127. 123BensalemPennsylvania, United States
    14.1
  128. 128Uekimachi-mōnoKumamoto, Japan
    14.0
  129. 128SōjaOkayama, Japan
    14.0
  130. 128East RidgeTennessee, United States
    14.0
  131. 131Novi SadVojvodina, Serbia
    13.9
  132. 131Misato, SaitamaSaitama, Japan
    13.9
  133. 133AsprópyrgosAttica, Greece
    13.8
  134. 133SallanchesAuvergne-Rhône-Alpes, France
    13.8
  135. 135KochaniKochani, North Macedonia
    13.7
  136. 135SanoTochigi, Japan
    13.7
  137. 135YakimaWashington, United States
    13.7
  138. 138Shimo-tsumaIbaraki, Japan
    13.6
  139. 138Kan’onjichōKagawa, Japan
    13.6
  140. 138MercedCalifornia, United States
    13.6
  141. 141ŌmutaFukuoka, Japan
    13.5
  142. 141Cadereyta JiménezNuevo León, Mexico
    13.5
  143. 141Grants PassOregon, United States
    13.5
  144. 141MedfordOregon, United States
    13.5
  145. 145Coeur d'AleneIdaho, United States
    13.4
  146. 146IaşiIași County, Romania
    13.3
  147. 146UtoKumamoto, Japan
    13.3
  148. 146Maebaru-chūōFukuoka, Japan
    13.3
  149. 146BailénAndalusia, Spain
    13.3
  150. 146Sainte-Geneviève-des-BoisÎle-de-France, France
    13.3
  151. 146YecapixtlaMorelos, Mexico
    13.3
  152. 146KennesawGeorgia, United States
    13.3
  153. 146ParklandWashington, United States
    13.3
  154. 154YokkaichiMie, Japan
    13.2
  155. 154HonmachiKumamoto, Japan
    13.2
  156. 154León de los AldamaGuanajuato, Mexico
    13.2
  157. 154LewistonIdaho, United States
    13.2
  158. 154SalemOregon, United States
    13.2
  159. 159VigoGalicia, Spain
    13.1
  160. 159IndianapolisIndiana, United States
    13.1
  161. 159HattiesburgMississippi, United States
    13.1
  162. 162KōnosuSaitama, Japan
    13.0
  163. 162SevillaAndalusia, Spain
    13.0
  164. 162SunnysideWashington, United States
    13.0
  165. 162HigashigōSaga, Japan
    13.0
  166. 166KasukabeSaitama, Japan
    12.9
  167. 166GyōdaSaitama, Japan
    12.9
  168. 168AstanaAstana, Kazakhstan
    12.8
  169. 168YawataKyoto, Japan
    12.8
  170. 168NodaChiba, Japan
    12.8
  171. 168HanyūSaitama, Japan
    12.8
  172. 168ValdemoroMadrid, Spain
    12.8
  173. 168LleidaCatalonia, Spain
    12.8
  174. 168AsakuchiOkayama, Japan
    12.8
  175. 175KumamotoKumamoto, Japan
    12.7
  176. 175CórdobaAndalusia, Spain
    12.7
  177. 175DallasTexas, United States
    12.7
  178. 175ChicoCalifornia, United States
    12.7
  179. 175MillcreekUtah, United States
    12.7
  180. 175Spokane ValleyWashington, United States
    12.7
  181. 175JōsōIbaraki, Japan
    12.7
  182. 175KogaFukuoka, Japan
    12.7
  183. 183TamanoOkayama, Japan
    12.6
  184. 183SōkaSaitama, Japan
    12.6
  185. 183IgusaSaitama, Japan
    12.6
  186. 183ClovisCalifornia, United States
    12.6
  187. 183KirishimaKagoshima, Japan
    12.6
  188. 188TamanaKumamoto, Japan
    12.5
  189. 188KurumeFukuoka, Japan
    12.5
  190. 188KukichūōSaitama, Japan
    12.5
  191. 188FukuyamaHiroshima, Japan
    12.5
  192. 188Santiago de QuerétaroQuerétaro, Mexico
    12.5
  193. 188Port AngelesWashington, United States
    12.5
  194. 188TsuchiuraIbaraki, Japan
    12.5
  195. 195SuzukaMie, Japan
    12.4
  196. 195Nara-shiNara, Japan
    12.4
  197. 195HavířovMoravian-Silesian Region, Czechia
    12.4
  198. 195AraoKumamoto, Japan
    12.4
  199. 199HigashinozoeHyōgo, Japan
    12.3
  200. 199AgeoSaitama, Japan
    12.3

Top 200 of 1,891 shown.

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