SmogRank / History / September 3, 2024

Most polluted cities on September 3, 2024

1,715 cities ranked by their average PM2.5 over the day; the worst was Baku, Azerbaijan, at 140.0 µg/m³. Each city's own local calendar day.

Bad-air episodes during September 3, 2024. All episodes.

← Baku 140.0 µg/m³ 100 µg/m³15 WHO 24-hour guideline
Every city ranked for September 3, 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. 1BakuBaki, Azerbaijan
    2159.3×
  2. 2SaltilloCoahuila, Mexico
    1786.3×
  3. 3DushanbeDushanbe, Tajikistan
    1594.5×
  4. 4Prince AlbertSaskatchewan, Canada
    1574.2×
  5. 5Lahorelow-cost sensorsPunjab, Pakistan
    1523.8×
  6. 6Şabāḩ as SālimMubārak al Kabīr, Kuwait
    1523.8×
  7. 7BaghdadBaghdad, Iraq
    1493.7×
  8. 8Asunciónlow-cost sensorsAsuncion, Paraguay
    1453.6×
  9. 9Santa Anita - Los FicusLima region, Peru
    1433.5×
  10. 10CairoCairo, Egypt
    1363.3×
  11. 11HualpénBiobio, Chile
    1363.3×
  12. 12SaskatoonSaskatchewan, Canada
    1353.3×
  13. 13São PauloSão Paulo, Brazil
    1343.3×
  14. 14NacimientoBiobio, Chile
    1343.3×
  15. 15Dhakalow-cost sensorsDhaka Division, Bangladesh
    1293.1×
  16. 16La UniónLos Ríos Region, Chile
    1202.9×
  17. 17JakartaJakarta, Indonesia
    1192.9×
  18. 18Addis AbabaAddis Ababa, Ethiopia
    1172.8×
  19. 19CuranilahueBiobio, Chile
    1122.7×
  20. 20HualquiBiobio, Chile
    1122.7×
  21. 21TalcahuanoBiobio, Chile
    1092.6×
  22. 22Wan ChaiWan Chai, Hong Kong
    1062.5×
  23. 22Puerto MonttLos Lagos Region, Chile
    1062.5×
  24. 24ChiguayanteBiobio, Chile
    1032.4×
  25. 25YanacanchaPasco, Peru
    1012.4×
  26. 26VillarricaAraucania, Chile
    1002.3×
  27. 27Puerto AysénAysén, Chile
    992.3×
  28. 27ChillánÑuble, Chile
    992.3×
  29. 29Abujalow-cost sensorsFCT, Nigeria
    992.3×
  30. 30Twin FallsIdaho, United States
    992.3×
  31. 31ReginaSaskatchewan, Canada
    972.3×
  32. 32Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    972.2×
  33. 33OsornoLos Lagos Region, Chile
    952.2×
  34. 33CoronelBiobio, Chile
    952.2×
  35. 35Puerto VarasLos Lagos Region, Chile
    932.1×
  36. 36Swift CurrentSaskatchewan, Canada
    922.1×
  37. 37Shakaskraallow-cost sensorsKwaZulu-Natal, South Africa
    892.0×
  38. 38Villa Poeta José Gálvez BarrenecheaLima region, Peru
    892.0×
  39. 39SaikiOita, Japan
    881.9×
  40. 40TemucoAraucania, Chile
    881.9×
  41. 41Tin Shui WaiYuen Long, Hong Kong
    871.9×
  42. 42CauquenesMaule Region, Chile
    861.9×
  43. 43NobeokaMiyazaki, Japan
    851.8×
  44. 44Thunder BayOntario, Canada
    851.8×
  45. 45CoyhaiqueAysén, Chile
    851.8×
  46. 46Jacobo HunterArequipa, Peru
    841.8×
  47. 47San Tung Chung HangIslands, Hong Kong
    831.8×
  48. 48PrzemyślSubcarpathia, Poland
    831.7×
  49. 48TocopillaAntofagasta, Chile
    831.7×
  50. 48BoiseIdaho, United States
    831.7×
  51. 48MeridianIdaho, United States
    831.7×
  52. 52HyūgaMiyazaki, Japan
    831.7×
  53. 53TakanabeMiyazaki, Japan
    821.7×
  54. 54Tuen MunTuen Mun, Hong Kong
    821.7×
  55. 54Mong KokYau Tsim Mong District, Hong Kong
    821.7×
  56. 54ToméBiobio, Chile
    821.7×
  57. 57LublinLublin, Poland
    821.7×
  58. 57YuanlinTaiwan, Taiwan
    821.7×
  59. 59ValdiviaLos Ríos Region, Chile
    821.7×
  60. 59Los ÁngelesBiobio, Chile
    821.7×
  61. 61BeijingBeijing, China
    811.7×
  62. 61AlgiersAlgiers, Algeria
    811.7×
  63. 61CuricóMaule Region, Chile
    811.7×
  64. 64Karachilow-cost sensorsSindh, Pakistan
    811.7×
  65. 64QuinteroValparaiso, Chile
    811.7×
  66. 66MielecSubcarpathia, Poland
    811.7×
  67. 66TalcaMaule Region, Chile
    811.7×
  68. 68Puente AltoSantiago Metropolitan, Chile
    811.7×
  69. 69San Francisco De BorjaLima region, Peru
    801.7×
  70. 70Kwai ChungKwai Tsing District, Hong Kong
    801.7×
  71. 71Sham Shui PoSham Shui Po District, Hong Kong
    801.6×
  72. 72Tsuen WanTsuen Wan, Hong Kong
    801.6×
  73. 73GuangzhouGuangdong, China
    801.6×
  74. 74AntananarivoAnalamanga, Madagascar
    791.6×
  75. 74FanlingNorth District, Hong Kong
    791.6×
  76. 74VictoriaCentral and Western, Hong Kong
    791.6×
  77. 74Zielona GóraLubusz, Poland
    791.6×
  78. 78ŁukówLublin, Poland
    791.6×
  79. 79ŌitaOita, Japan
    791.6×
  80. 80RacibórzSilesia, Poland
    781.6×
  81. 81NampaIdaho, United States
    781.6×
  82. 82SarajevoFederation of B&H, Bosnia and Herzegovina
    781.6×
  83. 83FengshanTakao, Taiwan
    781.6×
  84. 84QuillotaValparaiso, Chile
    771.5×
  85. 85MaputoMaputo City, Mozambique
    771.5×
  86. 85NakamuraKochi, Japan
    771.5×
  87. 85Kędzierzyn-KoźleOpole Voivodeship, Poland
    771.5×
  88. 88ChennaiTamil Nadu, India
    771.5×
  89. 89NiskoSubcarpathia, Poland
    771.5×
  90. 89Tai PoTai Po, Hong Kong
    771.5×
  91. 91BuziTaiwan, Taiwan
    761.5×
  92. 91San Pedro de la PazBiobio, Chile
    761.5×
  93. 93KatowiceSilesia, Poland
    761.5×
  94. 93Jastrzębie ZdrójSilesia, Poland
    761.5×
  95. 95ErlunTaiwan, Taiwan
    761.5×
  96. 96KielceŚwiętokrzyskie, Poland
    761.5×
  97. 97SantiagoSantiago Metropolitan, Chile
    751.5×
  98. 98DelhiDelhi, India
    751.5×
  99. 98DouliuTaiwan, Taiwan
    751.5×
  100. 100RancaguaO'Higgins Region, Chile
    751.5×
  101. 101San ClementeIca, Peru
    751.5×
  102. 102ConcepciónBiobio, Chile
    741.4×
  103. 103UkihaFukuoka, Japan
    741.4×
  104. 104KrakówLesser Poland, Poland
    741.4×
  105. 105RengoO'Higgins Region, Chile
    741.4×
  106. 105AntofagastaAntofagasta, Chile
    741.4×
  107. 107ChanghuaTaiwan, Taiwan
    741.4×
  108. 107Great FallsMontana, United States
    741.4×
  109. 109Skarżysko-KamiennaŚwiętokrzyskie, Poland
    731.4×
  110. 109JarosławSubcarpathia, Poland
    731.4×
  111. 109XinyingTaiwan, Taiwan
    731.4×
  112. 109Sau Mau PingKwun Tong District, Hong Kong
    731.4×
  113. 109Ang Mo Kio New TownSingapore
    731.4×
  114. 114KaliszGreater Poland, Poland
    731.4×
  115. 115TainanTaiwan, Taiwan
    731.4×
  116. 116Debrecenlow-cost sensorsHajdú-Bihar, Hungary
    731.4×
  117. 117Medina Estateslow-cost sensorsGreater Accra, Ghana
    731.4×
  118. 117TalaganteSantiago Metropolitan, Chile
    731.4×
  119. 117La SerenaCoquimbo Region, Chile
    731.4×
  120. 120MiyazakiMiyazaki, Japan
    721.4×
  121. 120MiyakonojōMiyazaki, Japan
    721.4×
  122. 120HelenaMontana, United States
    721.4×
  123. 123RzeszówSubcarpathia, Poland
    721.4×
  124. 123LegionowoMazovia, Poland
    721.4×
  125. 123BeigangTaiwan, Taiwan
    721.4×
  126. 123ZhushanTaiwan, Taiwan
    721.4×
  127. 127PruszkówMazovia, Poland
    721.3×
  128. 127AugustówPodlasie, Poland
    721.3×
  129. 127SaijōEhime, Japan
    721.3×
  130. 130Konstancin-JeziornaMazovia, Poland
    711.3×
  131. 130TaichungTaiwan, Taiwan
    711.3×
  132. 132SalorTashkent Region, Uzbekistan
    711.3×
  133. 132TaibaoTaiwan, Taiwan
    711.3×
  134. 132NantouTaiwan, Taiwan
    711.3×
  135. 132CoquimboCoquimbo Region, Chile
    711.3×
  136. 136Islamabadlow-cost sensorsIslamabad, Pakistan
    711.3×
  137. 136MissoulaMontana, United States
    711.3×
  138. 138NyíregyházaSzabolcs-Szatmár-Bereg, Hungary
    711.3×
  139. 138WarsawMazovia, Poland
    711.3×
  140. 138ShintomiMiyazaki, Japan
    711.3×
  141. 141CalamaAntofagasta, Chile
    711.3×
  142. 142MiskolcBorsod-Abaúj-Zemplén, Hungary
    711.3×
  143. 142Sha TinSha Tin, Hong Kong
    711.3×
  144. 142AraoKumamoto, Japan
    711.3×
  145. 145GrajewoPodlasie, Poland
    701.3×
  146. 145UsukiOita, Japan
    701.3×
  147. 145PortervilleCalifornia, United States
    701.3×
  148. 148TsukumiuraOita, Japan
    701.3×
  149. 149ZamośćLublin, Poland
    701.3×
  150. 149KureHiroshima, Japan
    701.3×
  151. 151ImabariEhime, Japan
    701.3×
  152. 152TsurusakiOita, Japan
    701.3×
  153. 152MatsuyamaEhime, Japan
    701.3×
  154. 152KutnoŁódź Voivodeship, Poland
    701.3×
  155. 152QuilpuéValparaiso, Chile
    701.3×
  156. 152CopiapóAtacama, Chile
    701.3×
  157. 157Uekimachi-mōnoKumamoto, Japan
    691.3×
  158. 157TamanaKumamoto, Japan
    691.3×
  159. 157NakatsuOita, Japan
    691.3×
  160. 157HitaOita, Japan
    691.3×
  161. 157Jurong WestSingapore
    691.3×
  162. 157SzczecinWest Pomerania, Poland
    691.3×
  163. 163NiihamaEhime, Japan
    691.3×
  164. 163BeppuOita, Japan
    691.3×
  165. 163WrocławLower Silesia, Poland
    691.3×
  166. 163ŁaskŁódź Voivodeship, Poland
    691.3×
  167. 167BuanJeollabuk-do, South Korea
    691.3×
  168. 167SaginawTexas, United States
    691.3×
  169. 169ToruńKujawsko-Pomorskie, Poland
    691.2×
  170. 169RadomskoŁódź Voivodeship, Poland
    691.2×
  171. 171PułtuskMazovia, Poland
    691.2×
  172. 171OtwockMazovia, Poland
    691.2×
  173. 171NichinanMiyazaki, Japan
    691.2×
  174. 174ŻyrardówMazovia, Poland
    691.2×
  175. 174RadomMazovia, Poland
    691.2×
  176. 174YongkangTaiwan, Taiwan
    691.2×
  177. 174PuliTaiwan, Taiwan
    691.2×
  178. 174Bielsko-BialaSilesia, Poland
    691.2×
  179. 174YauriCuzco Department, Peru
    691.2×
  180. 174YawatahamaEhime, Japan
    691.2×
  181. 181KikuchiKumamoto, Japan
    681.2×
  182. 181IyoEhime, Japan
    681.2×
  183. 181PoznańGreater Poland, Poland
    681.2×
  184. 181Gorzów WielkopolskiLubusz, Poland
    681.2×
  185. 185Czechowice-DziedziceSilesia, Poland
    681.2×
  186. 186Chiayi CityTaiwan, Taiwan
    681.2×
  187. 186Carsonlow-cost sensorsCalifornia, United States
    681.2×
  188. 186ComptonCalifornia, United States
    681.2×
  189. 186GlendoraCalifornia, United States
    681.2×
  190. 190ShanghaiShanghai, China
    681.2×
  191. 190YamagaKumamoto, Japan
    681.2×
  192. 190KościanGreater Poland, Poland
    681.2×
  193. 190LimaLima Province, Peru
    681.2×
  194. 194ShikokuchūōEhime, Japan
    681.2×
  195. 195ŌmutaFukuoka, Japan
    671.2×
  196. 195HitoyoshiKumamoto, Japan
    671.2×
  197. 195JeongeupJeollabuk-do, South Korea
    671.2×
  198. 198KaohsiungTakao, Taiwan
    671.2×
  199. 198XizhouTaiwan, Taiwan
    671.2×
  200. 198HonmachiKumamoto, Japan
    671.2×

Top 200 of 1,715 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, September 3, 2024, smogrank.com/history/2024-09-03 (accessed 3 Oct 2026).

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