SmogRank / History / week of October 28, 2024

Most polluted cities, week of October 28, 2024

2,063 cities ranked by their average PM2.5 over the 7 days; the worst was Lahore, Pakistan, at 245.6 µg/m³. A city needs measurements on 70% of the days to be ranked.

  1. 1Lahorelow-cost sensorsPunjab, Pakistan
    245.6
  2. 2DelhiDelhi, India
    146.8
  3. 3Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    109.8
  4. 4Kampalalow-cost sensorsCentral Region, Uganda
    102.4
  5. 5BeijingBeijing, China
    95.0
  6. 6Dhakalow-cost sensorsDhaka Division, Bangladesh
    91.5
  7. 7HyderabadTelangana, India
    87.2
  8. 8KolkataWest Bengal, India
    82.0
  9. 9MumbaiMaharashtra, India
    78.2
  10. 10ChennaiTamil Nadu, India
    76.9
  11. 11Islamabadlow-cost sensorsIslamabad, Pakistan
    71.3
  12. 12AntananarivoAnalamanga, Madagascar
    68.5
  13. 13PécsBaranya, Hungary
    65.8
  14. 14HanoiHanoi, Vietnam
    64.9
  15. 15BaghdadBaghdad, Iraq
    64.0
  16. 16Kinshasalow-cost sensorsKinshasa, Democratic Republic of the Congo
    63.7
  17. 17N'DjamenaN’Djaména, Chad
    62.3
  18. 18Banja LukaSrpska, Bosnia and Herzegovina
    54.5
  19. 19SalorTashkent Region, Uzbekistan
    53.2
  20. 20SmederevoCentral Serbia, Serbia
    50.9
  21. 21Novi PazarCentral Serbia, Serbia
    50.4
  22. 22CairoCairo, Egypt
    50.0
  23. 23Dubailow-cost sensorsDubai, United Arab Emirates
    46.6
  24. 24DushanbeDushanbe, Tajikistan
    45.0
  25. 25KraljevoCentral Serbia, Serbia
    43.9
  26. 26ZemunCentral Serbia, Serbia
    42.8
  27. 27NišCentral Serbia, Serbia
    42.7
  28. 28LazarevacCentral Serbia, Serbia
    42.4
  29. 29KragujevacCentral Serbia, Serbia
    41.4
  30. 30Kathmandulow-cost sensorsBagmati Province, Nepal
    41.3
  31. 31ObrenovacCentral Serbia, Serbia
    41.0
  32. 32UžiceCentral Serbia, Serbia
    40.9
  33. 33JakartaJakarta, Indonesia
    40.7
  34. 34NegotinCentral Serbia, Serbia
    39.7
  35. 35Debrecenlow-cost sensorsHajdú-Bihar, Hungary
    39.3
  36. 36ĆuprijaCentral Serbia, Serbia
    39.1
  37. 37ValjevoCentral Serbia, Serbia
    38.9
  38. 38SarajevoFederation of B&H, Bosnia and Herzegovina
    38.5
  39. 39DejCluj County, Romania
    38.1
  40. 40ČačakCentral Serbia, Serbia
    35.7
  41. 41Yerevanlow-cost sensorsYerevan, Armenia
    35.4
  42. 42BelgradeCentral Serbia, Serbia
    34.5
  43. 43SremčicaCentral Serbia, Serbia
    31.9
  44. 43PančevoVojvodina, Serbia
    31.9
  45. 45Novi SadVojvodina, Serbia
    30.7
  46. 46Ciudad NezahualcoyotlMéxico, Mexico
    30.3
  47. 46Santa Anita - Los FicusLima region, Peru
    30.3
  48. 48MiskolcBorsod-Abaúj-Zemplén, Hungary
    30.1
  49. 49PirotCentral Serbia, Serbia
    30.0
  50. 50Bangkoklow-cost sensorsBangkok, Thailand
    29.9
  51. 51CodleaBrașov County, Romania
    29.6
  52. 52KazincbarcikaBorsod-Abaúj-Zemplén, Hungary
    29.5
  53. 53JeddahMecca Region, Saudi Arabia
    29.4
  54. 54NyíregyházaSzabolcs-Szatmár-Bereg, Hungary
    28.6
  55. 54ZgierzŁódź Voivodeship, Poland
    28.6
  56. 56KigaliKigali, Rwanda
    28.3
  57. 57Chiang Mailow-cost sensorsChiang Mai, Thailand
    27.9
  58. 57Ulan BatorUlaanbaatar, Mongolia
    27.9
  59. 59AshgabatAshgabat, Turkmenistan
    27.7
  60. 60BakuBaki, Azerbaijan
    27.3
  61. 61KłodzkoLower Silesia, Poland
    27.2
  62. 62ShanghaiShanghai, China
    27.1
  63. 62ConakryConakry, Guinea
    27.1
  64. 64FutogVojvodina, Serbia
    26.9
  65. 65LimaLima Province, Peru
    26.7
  66. 66PúchovTrenčín Region, Slovakia
    26.6
  67. 66Silao de la VictoriaGuanajuato, Mexico
    26.6
  68. 68IrapuatoGuanajuato, Mexico
    26.1
  69. 69Mexico CityMexico City, Mexico
    25.8
  70. 69León de los AldamaGuanajuato, Mexico
    25.8
  71. 71Bielsko-BialaSilesia, Poland
    25.7
  72. 71BihaćFederation of B&H, Bosnia and Herzegovina
    25.7
  73. 73RacibórzSilesia, Poland
    24.7
  74. 74Botevgradlow-cost sensorsSofia, Bulgaria
    24.6
  75. 75Istanbullow-cost sensorsIstanbul, Turkey
    24.2
  76. 76GuangzhouGuangdong, China
    24.1
  77. 76Jacobo HunterArequipa, Peru
    24.1
  78. 78Wan ChaiWan Chai, Hong Kong
    24.0
  79. 78OpoleOpole Voivodeship, Poland
    24.0
  80. 80NáchodHradec Králové Region, Czechia
    23.4
  81. 81KielceŚwiętokrzyskie, Poland
    23.0
  82. 82KościanGreater Poland, Poland
    22.8
  83. 83Jastrzębie ZdrójSilesia, Poland
    22.6
  84. 84OtwockMazovia, Poland
    22.4
  85. 85San Luis de la PazGuanajuato, Mexico
    22.3
  86. 86CelayaGuanajuato, Mexico
    22.0
  87. 87BorCentral Serbia, Serbia
    21.6
  88. 88ŁaskŁódź Voivodeship, Poland
    21.5
  89. 89DěčínÚstí nad Labem Region, Czechia
    21.4
  90. 90Tuen MunTuen Mun, Hong Kong
    21.2
  91. 91OurenseGalicia, Spain
    21.0
  92. 92RuseRuse, Bulgaria
    20.9
  93. 93Şabāḩ as SālimMubārak al Kabīr, Kuwait
    20.8
  94. 93IaşiIași County, Romania
    20.8
  95. 93PrzemyślSubcarpathia, Poland
    20.8
  96. 93Ang Mo Kio New TownSingapore
    20.8
  97. 93MurciaMurcia, Spain
    20.8
  98. 93Kędzierzyn-KoźleOpole Voivodeship, Poland
    20.8
  99. 99ŻywiecSilesia, Poland
    20.6
  100. 100BucharestBucharest, Romania
    20.5
  101. 100PřerovOlomouc Region, Czechia
    20.5
  102. 102Cluj-NapocaCluj County, Romania
    20.4
  103. 102KaliszGreater Poland, Poland
    20.4
  104. 104Winterthurlow-cost sensorsZurich, Switzerland
    20.3
  105. 105LorcaMurcia, Spain
    20.2
  106. 105Villa Poeta José Gálvez BarrenecheaLima region, Peru
    20.2
  107. 107KatowiceSilesia, Poland
    20.1
  108. 108Medina Estateslow-cost sensorsGreater Accra, Ghana
    20.0
  109. 108OlomoucOlomouc Region, Czechia
    20.0
  110. 110Almatylow-cost sensorsAlmaty, Kazakhstan
    19.9
  111. 110Czechowice-DziedziceSilesia, Poland
    19.9
  112. 112Mladá BoleslavCentral Bohemia, Czechia
    19.7
  113. 113VigoGalicia, Spain
    19.6
  114. 114FengshanTakao, Taiwan
    19.5
  115. 114Jurong WestSingapore
    19.5
  116. 116San Tung Chung HangIslands, Hong Kong
    19.4
  117. 116KrakówLesser Poland, Poland
    19.4
  118. 118San Miguel de AllendeGuanajuato, Mexico
    19.3
  119. 119KutnoŁódź Voivodeship, Poland
    19.2
  120. 119HernandoMississippi, United States
    19.2
  121. 121PrešovPrešov Region, Slovakia
    19.1
  122. 121HavířovMoravian-Silesian Region, Czechia
    19.1
  123. 123San ClementeIca, Peru
    19.0
  124. 124Hradec KrálovéHradec Králové Region, Czechia
    18.9
  125. 125Tha BoNong Khai, Thailand
    18.8
  126. 125Molina de SeguraMurcia, Spain
    18.8
  127. 127AbasoloGuanajuato, Mexico
    18.7
  128. 128MielecSubcarpathia, Poland
    18.6
  129. 128FanlingNorth District, Hong Kong
    18.6
  130. 128WormsRheinland-Pfalz, Germany
    18.6
  131. 128ČadcaŽilina Region, Slovakia
    18.6
  132. 128WłocławekKujawsko-Pomorskie, Poland
    18.6
  133. 133Valašské MeziříčíZlín, Czechia
    18.5
  134. 134OstravaMoravian-Silesian Region, Czechia
    18.4
  135. 134Jelenia GóraLower Silesia, Poland
    18.4
  136. 136ŁukówLublin, Poland
    18.3
  137. 136CuencaCastille-La Mancha, Spain
    18.3
  138. 136Alcalá de HenaresMadrid, Spain
    18.3
  139. 139WoodlandsSingapore
    18.2
  140. 139Barrio de PeralMurcia, Spain
    18.2
  141. 139RužomberokŽilina Region, Slovakia
    18.2
  142. 139HandlováTrenčín Region, Slovakia
    18.2
  143. 139BirminghamAlabama, United States
    18.2
  144. 139BartlettTennessee, United States
    18.2
  145. 139LynnMassachusetts, United States
    18.2
  146. 146Skarżysko-KamiennaŚwiętokrzyskie, Poland
    18.1
  147. 146KrosnoSubcarpathia, Poland
    18.1
  148. 146KaohsiungTakao, Taiwan
    18.1
  149. 149HumennéPrešov Region, Slovakia
    18.0
  150. 149VarnaVarna, Bulgaria
    18.0
  151. 149EsztergomKomárom-Esztergom, Hungary
    18.0
  152. 152MartinŽilina Region, Slovakia
    17.9
  153. 152San Francisco De BorjaLima region, Peru
    17.9
  154. 154SzegedCsongrád, Hungary
    17.8
  155. 154PoznańGreater Poland, Poland
    17.8
  156. 154GuanajuatoGuanajuato, Mexico
    17.8
  157. 157TrebišovKošice Region, Slovakia
    17.7
  158. 157PristinaPristina, Kosovo
    17.7
  159. 157ŁódźŁódź Voivodeship, Poland
    17.7
  160. 160RzeszówSubcarpathia, Poland
    17.6
  161. 161SalamancaGuanajuato, Mexico
    17.5
  162. 162KošiceKošice Region, Slovakia
    17.4
  163. 162JarosławSubcarpathia, Poland
    17.4
  164. 162Ústí nad LabemÚstí nad Labem Region, Czechia
    17.4
  165. 165Vranov nad TopľouPrešov Region, Slovakia
    17.2
  166. 165DębicaSubcarpathia, Poland
    17.2
  167. 165Tin Shui WaiYuen Long, Hong Kong
    17.2
  168. 165ValenceAuvergne-Rhône-Alpes, France
    17.2
  169. 169NiskoSubcarpathia, Poland
    17.1
  170. 169Lagoslow-cost sensorsLagos, Nigeria
    17.1
  171. 169CartagenaMurcia, Spain
    17.1
  172. 169El PasoTexas, United States
    17.1
  173. 173AugustówPodlasie, Poland
    17.0
  174. 173ArlesProvence-Alpes-Côte d'Azur, France
    17.0
  175. 173NitraNitra Region, Slovakia
    17.0
  176. 173RadomskoŁódź Voivodeship, Poland
    17.0
  177. 177LublinLublin, Poland
    16.9
  178. 177ChocopeLa Libertad, Peru
    16.9
  179. 179CraiovaDolj, Romania
    16.8
  180. 179RadomMazovia, Poland
    16.8
  181. 179PardubicePardubice Region, Czechia
    16.8
  182. 182Frýdek-MístekMoravian-Silesian Region, Czechia
    16.6
  183. 183Sevlievolow-cost sensorsGabrovo, Bulgaria
    16.5
  184. 183YangonYangon, Myanmar
    16.5
  185. 183AberdeenSouthern District, Hong Kong
    16.5
  186. 183MannheimBaden-Wurttemberg, Germany
    16.5
  187. 183CiutadellaBalearic Islands, Spain
    16.5
  188. 188JasłoSubcarpathia, Poland
    16.4
  189. 189TainanTaiwan, Taiwan
    16.3
  190. 189Tai PoTai Po, Hong Kong
    16.3
  191. 189FuenlabradaMadrid, Spain
    16.3
  192. 192SofiaSofia-Capital, Bulgaria
    16.1
  193. 192PruszkówMazovia, Poland
    16.1
  194. 192ZvolenBanská Bystrica Region, Slovakia
    16.1
  195. 192Asunciónlow-cost sensorsAsuncion, Paraguay
    16.1
  196. 192Oconomowoclow-cost sensorsWisconsin, United States
    16.1
  197. 197Vereeniginglow-cost sensorsGauteng, South Africa
    16.0
  198. 197SereďTrnava Region, Slovakia
    16.0
  199. 197WrocławLower Silesia, Poland
    16.0
  200. 197Torrejón de ArdozMadrid, Spain
    16.0

Top 200 of 2,063 shown.

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