SmogRank / History / week of October 14, 2024

Most polluted cities, week of October 14, 2024

1,807 cities ranked by their average PM2.5 over the 7 days; the worst was Lahore, Pakistan, at 164.1 µg/m³. A city needs measurements on 70% of the days to be ranked.

  1. 1Lahorelow-cost sensorsPunjab, Pakistan
    164.1
  2. 2Dhakalow-cost sensorsDhaka Division, Bangladesh
    111.6
  3. 3Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    110.8
  4. 4Kampalalow-cost sensorsCentral Region, Uganda
    101.6
  5. 5DelhiDelhi, India
    97.9
  6. 6BaghdadBaghdad, Iraq
    96.7
  7. 7Kinshasalow-cost sensorsKinshasa, Democratic Republic of the Congo
    83.7
  8. 8Şabāḩ as SālimMubārak al Kabīr, Kuwait
    70.8
  9. 9KolkataWest Bengal, India
    67.1
  10. 10KotōKumamoto, Japan
    64.7
  11. 11Islamabadlow-cost sensorsIslamabad, Pakistan
    59.1
  12. 12Kathmandulow-cost sensorsBagmati Province, Nepal
    58.4
  13. 13BeijingBeijing, China
    48.7
  14. 14CairoCairo, Egypt
    46.3
  15. 15Karachilow-cost sensorsSindh, Pakistan
    42.0
  16. 16AstanaAstana, Kazakhstan
    41.3
  17. 17HanoiHanoi, Vietnam
    39.4
  18. 18Santa Anita - Los FicusLima region, Peru
    37.0
  19. 19Banja LukaSrpska, Bosnia and Herzegovina
    35.8
  20. 20Novi PazarCentral Serbia, Serbia
    35.2
  21. 21LimaLima Province, Peru
    33.3
  22. 22UžiceCentral Serbia, Serbia
    32.8
  23. 23ValjevoCentral Serbia, Serbia
    32.4
  24. 24MumbaiMaharashtra, India
    31.6
  25. 25AntananarivoAnalamanga, Madagascar
    31.0
  26. 26SalorTashkent Region, Uzbekistan
    30.5
  27. 27KigaliKigali, Rwanda
    30.0
  28. 28DushanbeDushanbe, Tajikistan
    29.4
  29. 29JakartaJakarta, Indonesia
    28.8
  30. 29FengshanTakao, Taiwan
    28.8
  31. 31RacibórzSilesia, Poland
    28.5
  32. 32AshgabatAshgabat, Turkmenistan
    28.1
  33. 33GuangzhouGuangdong, China
    28.0
  34. 33ŻywiecSilesia, Poland
    28.0
  35. 35Addis AbabaAddis Ababa, Ethiopia
    27.1
  36. 36ZhushanTaiwan, Taiwan
    26.9
  37. 37SheridanWyoming, United States
    26.8
  38. 38Jastrzębie ZdrójSilesia, Poland
    26.4
  39. 39Villa Poeta José Gálvez BarrenecheaLima region, Peru
    25.8
  40. 40SarajevoFederation of B&H, Bosnia and Herzegovina
    25.5
  41. 41Dubailow-cost sensorsDubai, United Arab Emirates
    25.3
  42. 41N'DjamenaN’Djaména, Chad
    25.3
  43. 41Czechowice-DziedziceSilesia, Poland
    25.3
  44. 44Jacobo HunterArequipa, Peru
    25.1
  45. 45Bielsko-BialaSilesia, Poland
    25.0
  46. 46PuliTaiwan, Taiwan
    24.9
  47. 47Chiang Mailow-cost sensorsChiang Mai, Thailand
    24.4
  48. 48Wan ChaiWan Chai, Hong Kong
    24.3
  49. 49XinyingTaiwan, Taiwan
    23.7
  50. 50YongkangTaiwan, Taiwan
    23.6
  51. 51Bangkoklow-cost sensorsBangkok, Thailand
    23.5
  52. 52TainanTaiwan, Taiwan
    23.3
  53. 52Chiayi CityTaiwan, Taiwan
    23.3
  54. 54ChaozhouTaiwan, Taiwan
    23.1
  55. 55San Francisco De BorjaLima region, Peru
    23.0
  56. 56DouliuTaiwan, Taiwan
    22.8
  57. 57NantouTaiwan, Taiwan
    22.6
  58. 58ShanghaiShanghai, China
    22.4
  59. 59KaohsiungTakao, Taiwan
    22.0
  60. 60ErlunTaiwan, Taiwan
    21.1
  61. 61KragujevacCentral Serbia, Serbia
    20.9
  62. 62Istanbullow-cost sensorsIstanbul, Turkey
    20.7
  63. 63LazarevacCentral Serbia, Serbia
    20.0
  64. 63KatowiceSilesia, Poland
    20.0
  65. 65CallaoCallao, Peru
    19.9
  66. 66Debrecenlow-cost sensorsHajdú-Bihar, Hungary
    19.6
  67. 67KazincbarcikaBorsod-Abaúj-Zemplén, Hungary
    19.2
  68. 67ZgierzŁódź Voivodeship, Poland
    19.2
  69. 69BeigangTaiwan, Taiwan
    19.1
  70. 69Sioux FallsSouth Dakota, United States
    19.1
  71. 71GulfportMississippi, United States
    19.0
  72. 72PrzemyślSubcarpathia, Poland
    18.9
  73. 72SmederevoCentral Serbia, Serbia
    18.9
  74. 72ColumbusOhio, United States
    18.9
  75. 75Ulan BatorUlaanbaatar, Mongolia
    18.6
  76. 75OpoleOpole Voivodeship, Poland
    18.6
  77. 77RadomskoŁódź Voivodeship, Poland
    18.5
  78. 78Skarżysko-KamiennaŚwiętokrzyskie, Poland
    18.3
  79. 78KaliszGreater Poland, Poland
    18.3
  80. 80KraljevoCentral Serbia, Serbia
    18.0
  81. 80ChocopeLa Libertad, Peru
    18.0
  82. 82TaichungTaiwan, Taiwan
    17.9
  83. 82BuziTaiwan, Taiwan
    17.9
  84. 82ChanghuaTaiwan, Taiwan
    17.9
  85. 85NyíregyházaSzabolcs-Szatmár-Bereg, Hungary
    17.8
  86. 85MiskolcBorsod-Abaúj-Zemplén, Hungary
    17.8
  87. 85Zielona GóraLubusz, Poland
    17.8
  88. 88Ang Mo Kio New TownSingapore
    17.7
  89. 89Tha BoNong Khai, Thailand
    17.5
  90. 90Medina Estateslow-cost sensorsGreater Accra, Ghana
    17.4
  91. 90KościanGreater Poland, Poland
    17.4
  92. 90Sunland ParkNew Mexico, United States
    17.4
  93. 93KutnoŁódź Voivodeship, Poland
    17.3
  94. 94ErlinTaiwan, Taiwan
    17.2
  95. 94Mong KokYau Tsim Mong District, Hong Kong
    17.2
  96. 96KielceŚwiętokrzyskie, Poland
    17.1
  97. 96Silao de la VictoriaGuanajuato, Mexico
    17.1
  98. 98Tuen MunTuen Mun, Hong Kong
    16.9
  99. 98IndianapolisIndiana, United States
    16.9
  100. 100IaşiIași County, Romania
    16.8
  101. 100ChennaiTamil Nadu, India
    16.8
  102. 100Kędzierzyn-KoźleOpole Voivodeship, Poland
    16.8
  103. 100Little RockArkansas, United States
    16.8
  104. 104Almatylow-cost sensorsAlmaty, Kazakhstan
    16.7
  105. 104Jurong WestSingapore
    16.7
  106. 106WłocławekKujawsko-Pomorskie, Poland
    16.6
  107. 106SzczecinWest Pomerania, Poland
    16.6
  108. 106KłodzkoLower Silesia, Poland
    16.6
  109. 109PoznańGreater Poland, Poland
    16.2
  110. 109Gorzów WielkopolskiLubusz, Poland
    16.2
  111. 111TeltowBrandenburg, Germany
    15.9
  112. 111BendOregon, United States
    15.9
  113. 113PirotCentral Serbia, Serbia
    15.8
  114. 113KrakówLesser Poland, Poland
    15.8
  115. 115LublinLublin, Poland
    15.5
  116. 115JinchengFukien, Taiwan
    15.5
  117. 117TaibaoTaiwan, Taiwan
    15.4
  118. 118Yerevanlow-cost sensorsYerevan, Armenia
    15.3
  119. 118BerlinState of Berlin, Germany
    15.3
  120. 118Strzelce OpolskieOpole Voivodeship, Poland
    15.3
  121. 118León de los AldamaGuanajuato, Mexico
    15.3
  122. 122WrocławLower Silesia, Poland
    15.1
  123. 122IrapuatoGuanajuato, Mexico
    15.1
  124. 124NišCentral Serbia, Serbia
    15.0
  125. 124BellevueNebraska, United States
    15.0
  126. 126FanlingNorth District, Hong Kong
    14.9
  127. 127StarachowiceŚwiętokrzyskie, Poland
    14.8
  128. 127ObrenovacCentral Serbia, Serbia
    14.8
  129. 127WittenbergSaxony-Anhalt, Germany
    14.8
  130. 130Asunciónlow-cost sensorsAsuncion, Paraguay
    14.7
  131. 131RzeszówSubcarpathia, Poland
    14.6
  132. 131DębicaSubcarpathia, Poland
    14.6
  133. 131XizhouTaiwan, Taiwan
    14.6
  134. 131SocorroTexas, United States
    14.6
  135. 131ChikuseiIbaraki, Japan
    14.6
  136. 136OtwockMazovia, Poland
    14.5
  137. 136ŁaskŁódź Voivodeship, Poland
    14.5
  138. 136ChimboteAncash, Peru
    14.5
  139. 139GyálPest County, Hungary
    14.4
  140. 139Santa ClaritaCalifornia, United States
    14.4
  141. 141WormsRheinland-Pfalz, Germany
    14.3
  142. 141Los AngelesCalifornia, United States
    14.3
  143. 143ZamośćLublin, Poland
    14.2
  144. 143LegionowoMazovia, Poland
    14.2
  145. 143HyderabadTelangana, India
    14.2
  146. 143DessauSaxony-Anhalt, Germany
    14.2
  147. 143Jurupa ValleyCalifornia, United States
    14.2
  148. 148PruszkówMazovia, Poland
    14.1
  149. 148Tin Shui WaiYuen Long, Hong Kong
    14.1
  150. 148FontanaCalifornia, United States
    14.1
  151. 151RadomMazovia, Poland
    14.0
  152. 151Winterthurlow-cost sensorsZurich, Switzerland
    14.0
  153. 151MainzRheinland-Pfalz, Germany
    14.0
  154. 154VilniusVilnius, Lithuania
    13.9
  155. 154NiskoSubcarpathia, Poland
    13.9
  156. 154AberdeenSouthern District, Hong Kong
    13.9
  157. 154BydgoszczKujawsko-Pomorskie, Poland
    13.9
  158. 158DziałdowoWarmia-Masuria, Poland
    13.8
  159. 158YangonYangon, Myanmar
    13.8
  160. 158Halle (Saale)Saxony-Anhalt, Germany
    13.8
  161. 158AugsburgBavaria, Germany
    13.8
  162. 162Tai PoTai Po, Hong Kong
    13.7
  163. 162StralsundMecklenburg-Vorpommern, Germany
    13.7
  164. 162El PasoTexas, United States
    13.7
  165. 165Tsuen WanTsuen Wan, Hong Kong
    13.6
  166. 165Kwai ChungKwai Tsing District, Hong Kong
    13.6
  167. 165La Crescenta-Montroselow-cost sensorsCalifornia, United States
    13.6
  168. 168ŁukówLublin, Poland
    13.5
  169. 168Neu-UlmBavaria, Germany
    13.5
  170. 168LuckenwaldeBrandenburg, Germany
    13.5
  171. 171JasłoSubcarpathia, Poland
    13.4
  172. 171Sham Shui PoSham Shui Po District, Hong Kong
    13.4
  173. 171ŻaryLubusz, Poland
    13.4
  174. 171FutogVojvodina, Serbia
    13.4
  175. 175SpeyerRheinland-Pfalz, Germany
    13.3
  176. 175MühlhausenThuringia, Germany
    13.3
  177. 175Jelenia GóraLower Silesia, Poland
    13.3
  178. 175BirminghamAlabama, United States
    13.3
  179. 179ZemunCentral Serbia, Serbia
    13.2
  180. 179Sau Mau PingKwun Tong District, Hong Kong
    13.2
  181. 179San Tung Chung HangIslands, Hong Kong
    13.2
  182. 182Konstancin-JeziornaMazovia, Poland
    13.1
  183. 182MagdeburgSaxony-Anhalt, Germany
    13.1
  184. 182KöthenSaxony-Anhalt, Germany
    13.1
  185. 182BernburgSaxony-Anhalt, Germany
    13.1
  186. 182AyaseKanagawa, Japan
    13.1
  187. 187GyōdaSaitama, Japan
    13.0
  188. 187WoodlandsSingapore
    13.0
  189. 187Queenstown Estatelow-cost sensorsSingapore
    13.0
  190. 187BambergBavaria, Germany
    13.0
  191. 187RedfordMichigan, United States
    13.0
  192. 192Ludwigshafen am RheinRheinland-Pfalz, Germany
    12.9
  193. 192NáchodHradec Králové Region, Czechia
    12.9
  194. 192GdyniaPomerania, Poland
    12.9
  195. 192Misato, SaitamaSaitama, Japan
    12.9
  196. 196BakuBaki, Azerbaijan
    12.8
  197. 196ŌtsukiYamanashi, Japan
    12.8
  198. 196WeidenBavaria, Germany
    12.8
  199. 196YauriCuzco Department, Peru
    12.8
  200. 196TijuanaBaja California, Mexico
    12.8

Top 200 of 1,807 shown.

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