SmogRank / History / week of January 8, 2024

Most polluted cities, week of January 8, 2024

1,988 cities ranked by their average PM2.5 over the 7 days; the worst was Peshawar, Pakistan, at 367.4 µg/m³. A city needs measurements on 70% of the days to be ranked.

  1. 1Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    367.4
  2. 2Lahorelow-cost sensorsPunjab, Pakistan
    288.6
  3. 3DelhiDelhi, India
    273.0
  4. 4KolkataWest Bengal, India
    204.3
  5. 5Islamabadlow-cost sensorsIslamabad, Pakistan
    198.0
  6. 6Dhakalow-cost sensorsDhaka Division, Bangladesh
    191.3
  7. 7Ulan BatorUlaanbaatar, Mongolia
    148.0
  8. 8N'DjamenaN’Djaména, Chad
    115.1
  9. 9Karachilow-cost sensorsSindh, Pakistan
    96.2
  10. 10Abujalow-cost sensorsFCT, Nigeria
    96.0
  11. 11HyderabadTelangana, India
    91.1
  12. 12DębicaSubcarpathia, Poland
    85.7
  13. 13MielecSubcarpathia, Poland
    83.6
  14. 14Kathmandulow-cost sensorsBagmati Province, Nepal
    81.3
  15. 15Kędzierzyn-KoźleOpole Voivodeship, Poland
    79.8
  16. 16ChennaiTamil Nadu, India
    75.8
  17. 17LazarevacCentral Serbia, Serbia
    74.5
  18. 18DushanbeDushanbe, Tajikistan
    72.0
  19. 19MumbaiMaharashtra, India
    71.7
  20. 20Ceglie MessapicaApulia, Italy
    70.5
  21. 21RacibórzSilesia, Poland
    70.2
  22. 22RadomskoŁódź Voivodeship, Poland
    69.8
  23. 23KigaliKigali, Rwanda
    68.7
  24. 24KłodzkoLower Silesia, Poland
    68.3
  25. 25Banja LukaSrpska, Bosnia and Herzegovina
    66.6
  26. 26KrosnoSubcarpathia, Poland
    66.5
  27. 27Jastrzębie ZdrójSilesia, Poland
    66.2
  28. 28CairoCairo, Egypt
    65.6
  29. 29Kampalalow-cost sensorsCentral Region, Uganda
    65.0
  30. 30Czechowice-DziedziceSilesia, Poland
    64.3
  31. 30FredrikstadØstfold, Norway
    64.3
  32. 32TlaquepaqueJalisco, Mexico
    64.2
  33. 33NysaOpole Voivodeship, Poland
    60.3
  34. 34OpoleOpole Voivodeship, Poland
    58.9
  35. 35Ciudad Benito JuárezNuevo León, Mexico
    57.5
  36. 36PančevoVojvodina, Serbia
    56.6
  37. 37ZgierzŁódź Voivodeship, Poland
    56.0
  38. 38Bielsko-BialaSilesia, Poland
    55.6
  39. 39StarachowiceŚwiętokrzyskie, Poland
    55.2
  40. 40OpavaMoravian-Silesian Region, Czechia
    54.8
  41. 41Skarżysko-KamiennaŚwiętokrzyskie, Poland
    54.1
  42. 41ŁaskŁódź Voivodeship, Poland
    54.1
  43. 43NišCentral Serbia, Serbia
    53.8
  44. 44BeijingBeijing, China
    53.2
  45. 45JarosławSubcarpathia, Poland
    52.8
  46. 46KavadarciKavadarci, North Macedonia
    51.3
  47. 47RzeszówSubcarpathia, Poland
    50.7
  48. 48ZemunCentral Serbia, Serbia
    50.1
  49. 48BohumínMoravian-Silesian Region, Czechia
    50.1
  50. 50JasłoSubcarpathia, Poland
    49.9
  51. 50KrakówLesser Poland, Poland
    49.9
  52. 52Bangkoklow-cost sensorsBangkok, Thailand
    49.8
  53. 53SremčicaCentral Serbia, Serbia
    49.2
  54. 54SarajevoFederation of B&H, Bosnia and Herzegovina
    48.8
  55. 55KaliszGreater Poland, Poland
    48.6
  56. 55Jelenia GóraLower Silesia, Poland
    48.6
  57. 57SalorTashkent Region, Uzbekistan
    48.4
  58. 58NiskoSubcarpathia, Poland
    48.2
  59. 59SarpsborgØstfold, Norway
    48.1
  60. 60GuangzhouGuangdong, China
    48.0
  61. 61TetovoTetovo, North Macedonia
    47.7
  62. 62KatowiceSilesia, Poland
    47.6
  63. 63BelgradeCentral Serbia, Serbia
    46.8
  64. 64ObrenovacCentral Serbia, Serbia
    45.9
  65. 65WrocławLower Silesia, Poland
    45.7
  66. 66YangonYangon, Myanmar
    45.6
  67. 67MiskolcBorsod-Abaúj-Zemplén, Hungary
    45.5
  68. 68PřerovOlomouc Region, Czechia
    43.3
  69. 69PoznańGreater Poland, Poland
    43.2
  70. 69CapannoriTuscany, Italy
    43.2
  71. 71PrzemyślSubcarpathia, Poland
    43.1
  72. 71OstravaMoravian-Silesian Region, Czechia
    43.1
  73. 73HavířovMoravian-Silesian Region, Czechia
    42.2
  74. 74PljevljaPljevlja, Montenegro
    41.8
  75. 75PodgoricaPodgorica, Montenegro
    41.7
  76. 76TřinecMoravian-Silesian Region, Czechia
    41.1
  77. 77VelesVeles, North Macedonia
    41.0
  78. 78BitolaBitola, North Macedonia
    40.8
  79. 79DejCluj County, Romania
    40.3
  80. 79KutnoŁódź Voivodeship, Poland
    40.3
  81. 81DziałdowoWarmia-Masuria, Poland
    39.6
  82. 82Frýdek-MístekMoravian-Silesian Region, Czechia
    39.1
  83. 83BerounCentral Bohemia, Czechia
    38.9
  84. 84Český TěšínMoravian-Silesian Region, Czechia
    38.8
  85. 85Valašské MeziříčíZlín, Czechia
    38.6
  86. 86Wan ChaiWan Chai, Hong Kong
    37.9
  87. 87ZamośćLublin, Poland
    37.7
  88. 88PruszkówMazovia, Poland
    37.4
  89. 89ManlleuCatalonia, Spain
    37.0
  90. 90KroměřížZlín, Czechia
    36.7
  91. 91Gorzów WielkopolskiLubusz, Poland
    36.6
  92. 91Novi SadVojvodina, Serbia
    36.6
  93. 93ShenyangLiaoning, China
    36.5
  94. 94OtwockMazovia, Poland
    36.4
  95. 95KazincbarcikaBorsod-Abaúj-Zemplén, Hungary
    36.1
  96. 95OlomoucOlomouc Region, Czechia
    36.1
  97. 97ZlínZlín, Czechia
    35.9
  98. 97České BudějoviceSouth Bohemian Region, Czechia
    35.9
  99. 99TarnówLesser Poland, Poland
    35.5
  100. 99ReutlingenBaden-Wurttemberg, Germany
    35.5
  101. 101GivorsAuvergne-Rhône-Alpes, France
    35.3
  102. 102Chiang Mailow-cost sensorsChiang Mai, Thailand
    35.2
  103. 103CallaoCallao, Peru
    35.0
  104. 104Botevgradlow-cost sensorsSofia, Bulgaria
    34.9
  105. 105HanoiHanoi, Vietnam
    34.8
  106. 105TübingenBaden-Wurttemberg, Germany
    34.8
  107. 107Haskovolow-cost sensorsHaskovo, Bulgaria
    34.4
  108. 107AugustówPodlasie, Poland
    34.4
  109. 109WłocławekKujawsko-Pomorskie, Poland
    34.0
  110. 110Ciudad ApodacaNuevo León, Mexico
    33.9
  111. 111Tuen MunTuen Mun, Hong Kong
    33.7
  112. 111MexicaliBaja California, Mexico
    33.7
  113. 113GuadalajaraJalisco, Mexico
    33.6
  114. 114MonterreyNuevo León, Mexico
    33.3
  115. 115RadomMazovia, Poland
    32.9
  116. 115LublinLublin, Poland
    32.9
  117. 115SkopjeGrad Skopje, North Macedonia
    32.9
  118. 118MulhouseGrand Est, France
    32.6
  119. 118Chalon-sur-SaôneBourgogne-Franche-Comté, France
    32.6
  120. 118RužomberokŽilina Region, Slovakia
    32.6
  121. 121LillestrømAkershus, Norway
    32.5
  122. 122IaşiIași County, Romania
    32.4
  123. 122HumennéPrešov Region, Slovakia
    32.4
  124. 124Ciudad General EscobedoNuevo León, Mexico
    31.9
  125. 125ŁódźŁódź Voivodeship, Poland
    31.8
  126. 126Mong KokYau Tsim Mong District, Hong Kong
    31.7
  127. 126GyőrGyőr-Moson-Sopron, Hungary
    31.7
  128. 128BaselBasel-City, Switzerland
    31.6
  129. 129ŁukówLublin, Poland
    31.5
  130. 129UlmBaden-Wurttemberg, Germany
    31.5
  131. 129FilderstadtBaden-Wurttemberg, Germany
    31.5
  132. 132PorsgrunnTelemark, Norway
    31.4
  133. 132OsloOslo, Norway
    31.4
  134. 132HamarInnlandet, Norway
    31.4
  135. 135Şabāḩ as SālimMubārak al Kabīr, Kuwait
    31.3
  136. 135LyonAuvergne-Rhône-Alpes, France
    31.3
  137. 137Bourg-en-BresseAuvergne-Rhône-Alpes, France
    31.1
  138. 138MossØstfold, Norway
    30.9
  139. 139ŻyrardówMazovia, Poland
    30.8
  140. 140LörrachBaden-Wurttemberg, Germany
    30.7
  141. 140SallanchesAuvergne-Rhône-Alpes, France
    30.7
  142. 140Hradec KrálovéHradec Králové Region, Czechia
    30.7
  143. 143Sau Mau PingKwun Tong District, Hong Kong
    30.6
  144. 143LęborkPomerania, Poland
    30.6
  145. 145LegionowoMazovia, Poland
    30.4
  146. 146VictoriaCentral and Western, Hong Kong
    30.3
  147. 146Neu-UlmBavaria, Germany
    30.3
  148. 148DoleBourgogne-Franche-Comté, France
    30.2
  149. 149GrazStyria, Austria
    30.1
  150. 149StuttgartBaden-Wurttemberg, Germany
    30.1
  151. 151Sevlievolow-cost sensorsGabrovo, Bulgaria
    30.0
  152. 151Romans-sur-IsèreAuvergne-Rhône-Alpes, France
    30.0
  153. 153MeyzieuAuvergne-Rhône-Alpes, France
    29.9
  154. 154CholulaPuebla, Mexico
    29.7
  155. 155Addis AbabaAddis Ababa, Ethiopia
    29.6
  156. 155San Tung Chung HangIslands, Hong Kong
    29.6
  157. 155TraunUpper Austria, Austria
    29.6
  158. 155ŽilinaŽilina Region, Slovakia
    29.6
  159. 159LormontNew Aquitaine, France
    29.4
  160. 160NyíregyházaSzabolcs-Szatmár-Bereg, Hungary
    29.3
  161. 160DěčínÚstí nad Labem Region, Czechia
    29.3
  162. 162JakartaJakarta, Indonesia
    29.2
  163. 162AnsfeldenUpper Austria, Austria
    29.2
  164. 162Saint-ChamondAuvergne-Rhône-Alpes, France
    29.2
  165. 165Vranov nad TopľouPrešov Region, Slovakia
    29.0
  166. 165MâconBourgogne-Franche-Comté, France
    29.0
  167. 167FreiburgBaden-Wurttemberg, Germany
    28.9
  168. 167PardubicePardubice Region, Czechia
    28.9
  169. 167MoreliaMichoacán, Mexico
    28.9
  170. 170SiedlceMazovia, Poland
    28.7
  171. 170IlindenIlinden, North Macedonia
    28.7
  172. 172MartinŽilina Region, Slovakia
    28.6
  173. 172CelayaGuanajuato, Mexico
    28.6
  174. 174TarbesOccitanie, France
    28.5
  175. 174AlessandriaPiedmont, Italy
    28.5
  176. 176Tin Shui WaiYuen Long, Hong Kong
    28.4
  177. 176PraguePrague, Czechia
    28.4
  178. 176ZapopanJalisco, Mexico
    28.4
  179. 179PassauBavaria, Germany
    28.3
  180. 179PoitiersNew Aquitaine, France
    28.3
  181. 181Sham Shui PoSham Shui Po District, Hong Kong
    28.2
  182. 181VeracruzVeracruz, Mexico
    28.2
  183. 183Sankt PöltenLower Austria, Austria
    28.1
  184. 183Montceau-les-MinesBourgogne-Franche-Comté, France
    28.1
  185. 185HerrenbergBaden-Wurttemberg, Germany
    28.0
  186. 185MontbéliardBourgogne-Franche-Comté, France
    28.0
  187. 185LimaLima Province, Peru
    28.0
  188. 188ColomboWestern Province, Sri Lanka
    27.8
  189. 188KlosterneuburgLower Austria, Austria
    27.8
  190. 188AngoulêmeNew Aquitaine, France
    27.8
  191. 191Saint-ÉtienneAuvergne-Rhône-Alpes, France
    27.7
  192. 191KladnoCentral Bohemia, Czechia
    27.7
  193. 191BydgoszczKujawsko-Pomorskie, Poland
    27.7
  194. 194KochaniKochani, North Macedonia
    27.6
  195. 194PerchtoldsdorfLower Austria, Austria
    27.6
  196. 196JeddahMecca Region, Saudi Arabia
    27.4
  197. 197WarsawMazovia, Poland
    27.3
  198. 197Tsuen WanTsuen Wan, Hong Kong
    27.3
  199. 197VesoulBourgogne-Franche-Comté, France
    27.3
  200. 197AngersPays de la Loire, France
    27.3

Top 200 of 1,988 shown.

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