SmogRank / History / October 7, 2024

Most polluted cities on October 7, 2024

1,696 cities ranked by their average PM2.5 over the day; the worst was Kampala, Uganda, at 92.6 µg/m³. Each city's own local calendar day.

Bad-air episodes during October 7, 2024. All episodes.

← Kampala 92.6 µg/m³ 90 µg/m³15 WHO 24-hour guideline
Every city ranked for October 7, 2024, one column each, worst on the left and cleanest on the right; height is PM2.5 in µg/m³. Point at it to read a city; tap to open it.
  1. 1Kampalalow-cost sensorsCentral Region, Uganda
    1776.2×
  2. 2Lahorelow-cost sensorsPunjab, Pakistan
    1776.2×
  3. 3HanoiHanoi, Vietnam
    1695.4×
  4. 4BaghdadBaghdad, Iraq
    1634.9×
  5. 5Kinshasalow-cost sensorsKinshasa, Democratic Republic of the Congo
    1604.6×
  6. 6Dhakalow-cost sensorsDhaka Division, Bangladesh
    1564.2×
  7. 7JakartaJakarta, Indonesia
    1554.1×
  8. 8Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    1503.7×
  9. 9MumbaiMaharashtra, India
    1383.4×
  10. 10HualquiBiobio, Chile
    1283.1×
  11. 11AlgiersAlgiers, Algeria
    1253.0×
  12. 12DushanbeDushanbe, Tajikistan
    1253.0×
  13. 13CairoCairo, Egypt
    1243.0×
  14. 13HyderabadTelangana, India
    1243.0×
  15. 15SheridanWyoming, United States
    1233.0×
  16. 16Vientianelow-cost sensorsVientiane Prefecture, Laos
    1222.9×
  17. 17DelhiDelhi, India
    1212.9×
  18. 18ManamaManama, Bahrain
    1192.9×
  19. 19AshgabatAshgabat, Turkmenistan
    1102.6×
  20. 20Ulan BatorUlaanbaatar, Mongolia
    1082.6×
  21. 21ChiguayanteBiobio, Chile
    1052.5×
  22. 22Kathmandulow-cost sensorsBagmati Province, Nepal
    1052.5×
  23. 23Samut SakhonSamut Sakhon, Thailand
    1012.4×
  24. 24Şabāḩ as SālimMubārak al Kabīr, Kuwait
    982.3×
  25. 25Karachilow-cost sensorsSindh, Pakistan
    972.3×
  26. 26Abujalow-cost sensorsFCT, Nigeria
    972.2×
  27. 27Islamabadlow-cost sensorsIslamabad, Pakistan
    962.2×
  28. 28CoyhaiqueAysén, Chile
    962.2×
  29. 29GuangzhouGuangdong, China
    952.2×
  30. 30Santa Anita - Los FicusLima region, Peru
    942.1×
  31. 31LazarevacCentral Serbia, Serbia
    932.1×
  32. 32ToméBiobio, Chile
    932.1×
  33. 32Puerto VarasLos Lagos Region, Chile
    932.1×
  34. 34SmederevoCentral Serbia, Serbia
    932.1×
  35. 34LimaLima Province, Peru
    932.1×
  36. 36MaputoMaputo City, Mozambique
    932.1×
  37. 36AntananarivoAnalamanga, Madagascar
    932.1×
  38. 38CoronelBiobio, Chile
    922.1×
  39. 39La UniónLos Ríos Region, Chile
    912.1×
  40. 40Ganghwa-gunIncheon, South Korea
    912.0×
  41. 41Wan ChaiWan Chai, Hong Kong
    902.0×
  42. 42Ban Samae DamBangkok, Thailand
    902.0×
  43. 43Bang NaBangkok, Thailand
    892.0×
  44. 43PyeongtaekGyeonggi-do, South Korea
    892.0×
  45. 45AugustówPodlasie, Poland
    881.9×
  46. 46ButteMontana, United States
    881.9×
  47. 47IncheonIncheon, South Korea
    881.9×
  48. 48Hwaseong-siGyeonggi-do, South Korea
    871.9×
  49. 48PubalGyeonggi-do, South Korea
    871.9×
  50. 50Nong KhaemBangkok, Thailand
    871.9×
  51. 50Tuen MunTuen Mun, Hong Kong
    871.9×
  52. 52Gimpo-siGyeonggi-do, South Korea
    861.9×
  53. 53Skarżysko-KamiennaŚwiętokrzyskie, Poland
    861.8×
  54. 53SalorTashkent Region, Uzbekistan
    861.8×
  55. 53Khlong Sam WaBangkok, Thailand
    861.8×
  56. 56Chinch'ŏnNorth Chungcheong, South Korea
    851.8×
  57. 57IksanJeollabuk-do, South Korea
    851.8×
  58. 57Jacobo HunterArequipa, Peru
    851.8×
  59. 59Grand JunctionColorado, United States
    851.8×
  60. 60Nakhon PathomNakhon Pathom, Thailand
    851.8×
  61. 61YauriCuzco Department, Peru
    851.8×
  62. 62NacimientoBiobio, Chile
    841.8×
  63. 63TangjinChungcheongnam-do, South Korea
    841.8×
  64. 63GilletteWyoming, United States
    841.8×
  65. 65Khlong LuangPathum Thani, Thailand
    831.8×
  66. 66Mueang NonthaburiNonthaburi, Thailand
    831.8×
  67. 67ObrenovacCentral Serbia, Serbia
    831.8×
  68. 67BeijingBeijing, China
    831.8×
  69. 69Shakaskraallow-cost sensorsKwaZulu-Natal, South Africa
    831.7×
  70. 69Goyang-siGyeonggi-do, South Korea
    831.7×
  71. 71WanjuJeollabuk-do, South Korea
    821.7×
  72. 71Ansan-siGyeonggi-do, South Korea
    821.7×
  73. 71YanacanchaPasco, Peru
    821.7×
  74. 74OsornoLos Lagos Region, Chile
    821.7×
  75. 75HelenaMontana, United States
    821.7×
  76. 76Puente AltoSantiago Metropolitan, Chile
    811.7×
  77. 76BillingsMontana, United States
    811.7×
  78. 78San Tung Chung HangIslands, Hong Kong
    811.7×
  79. 79Bucheon-siGyeonggi-do, South Korea
    811.7×
  80. 79VillarricaAraucania, Chile
    811.7×
  81. 81BangkokBangkok, Thailand
    801.7×
  82. 81KaliszGreater Poland, Poland
    801.7×
  83. 83HualpénBiobio, Chile
    801.6×
  84. 84ŁukówLublin, Poland
    801.6×
  85. 84ZgierzŁódź Voivodeship, Poland
    801.6×
  86. 86NonsanChungcheongnam-do, South Korea
    801.6×
  87. 87ChennaiTamil Nadu, India
    791.6×
  88. 87SeonghwanChungcheongnam-do, South Korea
    791.6×
  89. 89WłocławekKujawsko-Pomorskie, Poland
    791.6×
  90. 90GwangmyeongGyeonggi-do, South Korea
    791.6×
  91. 90ConcepciónBiobio, Chile
    791.6×
  92. 90BozemanMontana, United States
    791.6×
  93. 93Icheon-siGyeonggi-do, South Korea
    791.6×
  94. 93SantiagoSantiago Metropolitan, Chile
    791.6×
  95. 95YesanChungcheongnam-do, South Korea
    791.6×
  96. 95OsanGyeonggi-do, South Korea
    791.6×
  97. 97Bang Bo DistrictSamut Prakan, Thailand
    781.6×
  98. 97AsanChungcheongnam-do, South Korea
    781.6×
  99. 99NogalesSonora, Mexico
    781.6×
  100. 100LegionowoMazovia, Poland
    781.6×
  101. 100Cheongju-siNorth Chungcheong, South Korea
    781.6×
  102. 102JungpyongNorth Chungcheong, South Korea
    781.6×
  103. 103FanlingNorth District, Hong Kong
    771.6×
  104. 103Anyang-siGyeonggi-do, South Korea
    771.6×
  105. 105Debrecenlow-cost sensorsHajdú-Bihar, Hungary
    771.5×
  106. 105LublinLublin, Poland
    771.5×
  107. 105Phra PradaengSamut Prakan, Thailand
    771.5×
  108. 105AugustaGeorgia, United States
    771.5×
  109. 109ChillánÑuble, Chile
    771.5×
  110. 109AntofagastaAntofagasta, Chile
    771.5×
  111. 111Tin Shui WaiYuen Long, Hong Kong
    771.5×
  112. 112Lak SiBangkok, Thailand
    761.5×
  113. 113AnseongGyeonggi-do, South Korea
    761.5×
  114. 114SeoulSeoul, South Korea
    761.5×
  115. 115KraljevoCentral Serbia, Serbia
    761.5×
  116. 115Bang KapiBangkok, Thailand
    761.5×
  117. 117KimjeJeollabuk-do, South Korea
    761.5×
  118. 117TocopillaAntofagasta, Chile
    761.5×
  119. 117CauquenesMaule Region, Chile
    761.5×
  120. 117Rapid CitySouth Dakota, United States
    761.5×
  121. 121Asunciónlow-cost sensorsAsuncion, Paraguay
    751.5×
  122. 121QuinteroValparaiso, Chile
    751.5×
  123. 121Lat KrabangBangkok, Thailand
    751.5×
  124. 124KutnoŁódź Voivodeship, Poland
    751.5×
  125. 125GrajewoPodlasie, Poland
    751.5×
  126. 125Ban Khlong PrawetBangkok, Thailand
    751.5×
  127. 125CheonanChungcheongnam-do, South Korea
    751.5×
  128. 125BendOregon, United States
    751.5×
  129. 129NiskoSubcarpathia, Poland
    751.5×
  130. 130San Francisco De BorjaLima region, Peru
    751.5×
  131. 131Kwai ChungKwai Tsing District, Hong Kong
    741.4×
  132. 131SuwonGyeonggi-do, South Korea
    741.4×
  133. 131ShenyangLiaoning, China
    741.4×
  134. 131TalcahuanoBiobio, Chile
    741.4×
  135. 135GreeleyColorado, United States
    741.4×
  136. 136PruszkówMazovia, Poland
    741.4×
  137. 136NišCentral Serbia, Serbia
    741.4×
  138. 136NamsaJeollabuk-do, South Korea
    741.4×
  139. 139QuillotaValparaiso, Chile
    741.4×
  140. 140Samut PrakanSamut Prakan, Thailand
    741.4×
  141. 140Tai PoTai Po, Hong Kong
    741.4×
  142. 140BuanJeollabuk-do, South Korea
    741.4×
  143. 140ThorntonColorado, United States
    741.4×
  144. 140Khan Na YaoBangkok, Thailand
    741.4×
  145. 145OtwockMazovia, Poland
    741.4×
  146. 145Brightonlow-cost sensorsColorado, United States
    741.4×
  147. 147RadomMazovia, Poland
    731.4×
  148. 147LotaBiobio, Chile
    731.4×
  149. 149KoesanNorth Chungcheong, South Korea
    731.4×
  150. 149TemucoAraucania, Chile
    731.4×
  151. 151KinzanChungcheongnam-do, South Korea
    731.4×
  152. 152San Pedro de la PazBiobio, Chile
    731.4×
  153. 153Mong KokYau Tsim Mong District, Hong Kong
    731.4×
  154. 153YeojuGyeonggi-do, South Korea
    731.4×
  155. 153Guri-siGyeonggi-do, South Korea
    731.4×
  156. 153CallaoCallao, Peru
    731.4×
  157. 157Tsuen WanTsuen Wan, Hong Kong
    721.4×
  158. 158ValdiviaLos Ríos Region, Chile
    721.4×
  159. 158CuranilahueBiobio, Chile
    721.4×
  160. 158Northglennlow-cost sensorsColorado, United States
    721.4×
  161. 158CasperWyoming, United States
    721.4×
  162. 162Sham Shui PoSham Shui Po District, Hong Kong
    721.4×
  163. 162GunsanJeollabuk-do, South Korea
    721.4×
  164. 162Jurupa ValleyCalifornia, United States
    721.4×
  165. 165Konstancin-JeziornaMazovia, Poland
    721.3×
  166. 165Uijeongbu-siGyeonggi-do, South Korea
    721.3×
  167. 165CuricóMaule Region, Chile
    721.3×
  168. 168KościerzynaPomerania, Poland
    711.3×
  169. 168ConcónValparaiso, Chile
    711.3×
  170. 168Sai MaiBangkok, Thailand
    711.3×
  171. 171HanamGyeonggi-do, South Korea
    711.3×
  172. 171CalamaAntofagasta, Chile
    711.3×
  173. 171Fort CollinsColorado, United States
    711.3×
  174. 171MissoulaMontana, United States
    711.3×
  175. 175ZemunCentral Serbia, Serbia
    711.3×
  176. 175Nong ChokBangkok, Thailand
    711.3×
  177. 175TalcaMaule Region, Chile
    711.3×
  178. 178VictoriaCentral and Western, Hong Kong
    711.3×
  179. 178BydgoszczKujawsko-Pomorskie, Poland
    711.3×
  180. 178RancaguaO'Higgins Region, Chile
    711.3×
  181. 178DallasTexas, United States
    711.3×
  182. 178Bueng KumBangkok, Thailand
    711.3×
  183. 183YeongdongNorth Chungcheong, South Korea
    711.3×
  184. 183TalaganteSantiago Metropolitan, Chile
    711.3×
  185. 185KielceŚwiętokrzyskie, Poland
    711.3×
  186. 186ŁódźŁódź Voivodeship, Poland
    701.3×
  187. 187LongmontColorado, United States
    701.3×
  188. 188StarachowiceŚwiętokrzyskie, Poland
    701.3×
  189. 189WoodlandsSingapore
    701.3×
  190. 189YŏnmuChungcheongnam-do, South Korea
    701.3×
  191. 189Los ÁngelesBiobio, Chile
    701.3×
  192. 189AricaArica y Parinacota Region, Chile
    701.3×
  193. 193ChungjuNorth Chungcheong, South Korea
    701.3×
  194. 194MunsanGyeonggi-do, South Korea
    691.3×
  195. 194GimcheonGyeongsangbuk-do, South Korea
    691.3×
  196. 194PoznańGreater Poland, Poland
    691.3×
  197. 197NajuJeollanam-do, South Korea
    691.3×
  198. 197HwadoGyeonggi-do, South Korea
    691.3×
  199. 197CopiapóAtacama, Chile
    691.3×
  200. 197Colorado SpringsColorado, United States
    691.3×

Top 200 of 1,696 shown.

Good0–50
Moderate51–100
Sensitive groups101–150
Unhealthy151–200
Very unhealthy201–300
Hazardous301+

The US EPA's Air Quality Index for PM2.5 (2024 breakpoints). Show values as: µg/m³ · US AQI · India AQI · China AQI · European AQI · UK DAQI · Canada AQHI+. About the scales

Not covered: the government monitoring networks of China and Turkey, which publish no terms that let us reuse their readings. Most cities there are missing from this board, not clean. Why.

Use this board

SmogRank, most polluted cities, PM2.5, October 7, 2024, smogrank.com/history/2024-10-07 (accessed 3 Oct 2026).

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