SmogRank / History / September 30, 2026

Most polluted cities on September 30, 2026

2,166 cities ranked by their average PM2.5 over the day; the worst was Peshawar, Pakistan, at 94.6 µg/m³. Each city's own local calendar day.

← Peshawar 94.6 WHO 24-hour guideline
Every city ranked for September 30, 2026, one column each, worst on the left and cleanest on the right. Point at it to read a city; tap to open it.
  1. 1Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    94.66.3×
  2. 2SrinagarJammu and Kashmir, India
    82.95.5×
  3. 3Gujranwalalow-cost sensorsPunjab, Pakistan
    81.05.4×
  4. 4Kuala LumpurKuala Lumpur, Malaysia
    79.05.3×
  5. 5Kinshasalow-cost sensorsKinshasa, Democratic Republic of the Congo
    75.55.0×
  6. 6Dhakalow-cost sensorsDhaka Division, Bangladesh
    72.64.8×
  7. 7Rahim Yar Khanlow-cost sensorsPunjab, Pakistan
    66.34.4×
  8. 8Multanlow-cost sensorsPunjab, Pakistan
    65.14.3×
  9. 9Faisalabadlow-cost sensorsPunjab, Pakistan
    64.14.3×
  10. 10Tabananlow-cost sensorsBali, Indonesia
    61.74.1×
  11. 11Kampalalow-cost sensorsCentral Region, Uganda
    61.04.1×
  12. 12Lahorelow-cost sensorsPunjab, Pakistan
    60.64.0×
  13. 13Singaporelow-cost sensorsSingapore
    59.03.9×
  14. 14Ubudlow-cost sensorsBali, Indonesia
    55.43.7×
  15. 15Jammulow-cost sensorsJammu and Kashmir, India
    53.03.5×
  16. 15Dalunglow-cost sensorsBali, Indonesia
    53.03.5×
  17. 17Rawalpindilow-cost sensorsPunjab, Pakistan
    51.23.4×
  18. 18Butwāllow-cost sensorsLumbini Province, Nepal
    49.73.3×
  19. 18Queenstown Estatelow-cost sensorsSingapore
    49.73.3×
  20. 20Denpasarlow-cost sensorsBali, Indonesia
    49.23.3×
  21. 21Sialkotlow-cost sensorsPunjab, Pakistan
    49.03.3×
  22. 22Lilongwelow-cost sensorsCentral Region, Malawi
    48.93.3×
  23. 23Dubailow-cost sensorsDubai, United Arab Emirates
    48.53.2×
  24. 24Alipurlow-cost sensorsIslamabad, Pakistan
    48.13.2×
  25. 25Bahawalpurlow-cost sensorsPunjab, Pakistan
    47.93.2×
  26. 26Zombalow-cost sensorsSouthern Region, Malawi
    42.22.8×
  27. 27Islamabadlow-cost sensorsIslamabad, Pakistan
    41.02.7×
  28. 28ChennaiTamil Nadu, India
    39.72.6×
  29. 29Iloilolow-cost sensorsWestern Visayas, Philippines
    39.32.6×
  30. 30DushanbeDushanbe, Tajikistan
    38.12.5×
  31. 31Quezon Citylow-cost sensorsNational Capital Region, Philippines
    37.82.5×
  32. 32Kotli Loharanlow-cost sensorsPunjab, Pakistan
    35.82.4×
  33. 33San Luis PotosíSan Luis Potosí, Mexico
    34.02.3×
  34. 34Mzuzulow-cost sensorsNorthern Region, Malawi
    33.42.2×
  35. 35Temalow-cost sensorsGreater Accra, Ghana
    32.92.2×
  36. 36Vientianelow-cost sensorsVientiane Prefecture, Laos
    31.62.1×
  37. 37Chrang Chamreh Muoylow-cost sensorsPhnom Penh, Cambodia
    31.02.1×
  38. 38Taguiglow-cost sensorsNational Capital Region, Philippines
    30.32.0×
  39. 38Saint-Louislow-cost sensorsSaint-Louis, Senegal
    30.32.0×
  40. 40Phuntsholinglow-cost sensorsChukha, Bhutan
    30.22.0×
  41. 41Blantyrelow-cost sensorsSouthern Region, Malawi
    29.62.0×
  42. 42Kathmandulow-cost sensorsBagmati Province, Nepal
    29.01.9×
  43. 43Lagoslow-cost sensorsLagos, Nigeria
    28.41.9×
  44. 44Ibadanlow-cost sensorsOyo State, Nigeria
    27.71.8×
  45. 45Karachilow-cost sensorsSindh, Pakistan
    27.21.8×
  46. 46Hyderabadlow-cost sensorsSindh, Pakistan
    26.31.8×
  47. 46MilanLombardy, Italy
    26.31.8×
  48. 48Bang Pakonglow-cost sensorsChachoengsao, Thailand
    26.21.7×
  49. 48Ashaimanlow-cost sensorsGreater Accra, Ghana
    26.21.7×
  50. 50Quettalow-cost sensorsBalochistan, Pakistan
    25.31.7×
  51. 51Khlong LuangPathum Thani, Thailand
    25.21.7×
  52. 51Sai MaiBangkok, Thailand
    25.21.7×
  53. 53San Pedro Sulalow-cost sensorsCortés Department, Honduras
    24.61.6×
  54. 54Ban Khlong PrawetBangkok, Thailand
    24.51.6×
  55. 55Lawrencelow-cost sensorsKansas, United States
    23.71.6×
  56. 56Burundaylow-cost sensorsAlmaty Region, Kazakhstan
    22.61.5×
  57. 57Winterthurlow-cost sensorsZurich, Switzerland
    22.41.5×
  58. 58AostaAosta Valley, Italy
    22.21.5×
  59. 58CalexicoCalifornia, United States
    22.21.5×
  60. 60UžiceCentral Serbia, Serbia
    21.61.4×
  61. 61WormsRheinland-Pfalz, Germany
    21.51.4×
  62. 62TijuanaBaja California, Mexico
    21.41.4×
  63. 63Târgu Mureşlow-cost sensorsMureș County, Romania
    21.31.4×
  64. 64AugsburgBavaria, Germany
    21.21.4×
  65. 65PrijedorSrpska, Bosnia and Herzegovina
    21.11.4×
  66. 65Parque Industrial Ciudad MitrasNuevo León, Mexico
    21.11.4×
  67. 67Murreelow-cost sensorsPunjab, Pakistan
    21.01.4×
  68. 67Doualalow-cost sensorsLittoral, Cameroon
    21.01.4×
  69. 69Otegen Batyralow-cost sensorsAlmaty Region, Kazakhstan
    20.91.4×
  70. 70Zagreblow-cost sensorsZagreb, Croatia
    20.81.4×
  71. 71Ciudad General EscobedoNuevo León, Mexico
    20.71.4×
  72. 72San Francisco TlalcilalcalpanMéxico, Mexico
    20.61.4×
  73. 73Istanbullow-cost sensorsIstanbul, Turkey
    20.51.4×
  74. 73Brikamalow-cost sensorsWestern, Gambia
    20.51.4×
  75. 75Copenhagenlow-cost sensorsCapital Region, Denmark
    20.21.3×
  76. 75BellinzonaTicino, Switzerland
    20.21.3×
  77. 75LindauBavaria, Germany
    20.21.3×
  78. 75RoveretoTrentino-Alto Adige, Italy
    20.21.3×
  79. 79SpeyerRheinland-Pfalz, Germany
    20.11.3×
  80. 80Accralow-cost sensorsGreater Accra, Ghana
    19.91.3×
  81. 80LandshutBavaria, Germany
    19.91.3×
  82. 82GdańskPomerania, Poland
    19.71.3×
  83. 83MunichBavaria, Germany
    19.61.3×
  84. 84XizhiTaipei, Taiwan
    19.51.3×
  85. 85Ludwigshafen am RheinRheinland-Pfalz, Germany
    19.41.3×
  86. 85Naucalpan de JuárezMéxico, Mexico
    19.41.3×
  87. 87BangkokBangkok, Thailand
    19.31.3×
  88. 88Alcalá de GuadairaAndalusia, Spain
    19.21.3×
  89. 88KaliszGreater Poland, Poland
    19.21.3×
  90. 90Neu-UlmBavaria, Germany
    19.11.3×
  91. 90TaoyuanTaiwan, Taiwan
    19.11.3×
  92. 92Banja LukaSrpska, Bosnia and Herzegovina
    19.01.3×
  93. 93NeiliTaiwan, Taiwan
    18.91.3×
  94. 93Freetownlow-cost sensorsWestern Area, Sierra Leone
    18.91.3×
  95. 95SuceavaSuceava, Romania
    18.61.2×
  96. 95SevillaAndalusia, Spain
    18.61.2×
  97. 95UlmBaden-Wurttemberg, Germany
    18.61.2×
  98. 95PljevljaPljevlja, Montenegro
    18.61.2×
  99. 99Little RockArkansas, United States
    18.51.2×
  100. 99Adentalow-cost sensorsGreater Accra, Ghana
    18.51.2×
  101. 101Chula VistaCalifornia, United States
    18.31.2×
  102. 101New Taipei CityTaipei, Taiwan
    18.31.2×
  103. 103KikindaVojvodina, Serbia
    18.11.2×
  104. 103FriedrichshafenBaden-Wurttemberg, Germany
    18.11.2×
  105. 103PoznańGreater Poland, Poland
    18.11.2×
  106. 106RzeszówSubcarpathia, Poland
    17.91.2×
  107. 106Novi PazarCentral Serbia, Serbia
    17.91.2×
  108. 108TaipeiTaiwan, Taiwan
    17.71.2×
  109. 108Biberach an der RißBaden-Wurttemberg, Germany
    17.71.2×
  110. 110LudwigsburgBaden-Wurttemberg, Germany
    17.51.2×
  111. 110OpoleOpole Voivodeship, Poland
    17.51.2×
  112. 110Ciudad ApodacaNuevo León, Mexico
    17.51.2×
  113. 110BirminghamAlabama, United States
    17.51.2×
  114. 114ShulinTaipei, Taiwan
    17.41.2×
  115. 114KonstanzBaden-Wurttemberg, Germany
    17.41.2×
  116. 116SmederevoCentral Serbia, Serbia
    17.31.2×
  117. 116Medina Estateslow-cost sensorsGreater Accra, Ghana
    17.31.2×
  118. 116MaconGeorgia, United States
    17.31.2×
  119. 116Los AngelesCalifornia, United States
    17.31.2×
  120. 120HuelvaAndalusia, Spain
    17.21.1×
  121. 120BydgoszczKujawsko-Pomorskie, Poland
    17.21.1×
  122. 120Mixquiahuala de JuárezHidalgo, Mexico
    17.21.1×
  123. 123JinchengFukien, Taiwan
    17.01.1×
  124. 123San DiegoCalifornia, United States
    17.01.1×
  125. 125StarachowiceŚwiętokrzyskie, Poland
    16.91.1×
  126. 125SanzhiTaipei, Taiwan
    16.91.1×
  127. 125MannheimBaden-Wurttemberg, Germany
    16.91.1×
  128. 125HeilbronnBaden-Wurttemberg, Germany
    16.91.1×
  129. 125Maplewoodlow-cost sensorsMinnesota, United States
    16.91.1×
  130. 130ErlinTaiwan, Taiwan
    16.81.1×
  131. 131WrocławLower Silesia, Poland
    16.71.1×
  132. 131SzczecinWest Pomerania, Poland
    16.71.1×
  133. 131Santa CatarinaNuevo León, Mexico
    16.71.1×
  134. 131MissionTexas, United States
    16.71.1×
  135. 135Talgharlow-cost sensorsAlmaty Region, Kazakhstan
    16.51.1×
  136. 135BurrianaValencia, Spain
    16.51.1×
  137. 135Jastrzębie ZdrójSilesia, Poland
    16.51.1×
  138. 138ZhubeiTaiwan, Taiwan
    16.41.1×
  139. 138BraPiedmont, Italy
    16.41.1×
  140. 138MonterreyNuevo León, Mexico
    16.41.1×
  141. 141BolzanoTrentino-Alto Adige, Italy
    16.31.1×
  142. 141AnconaThe Marches, Italy
    16.31.1×
  143. 143KłodzkoLower Silesia, Poland
    16.21.1×
  144. 143TrentoTrentino-Alto Adige, Italy
    16.21.1×
  145. 143Wake Forestlow-cost sensorsNorth Carolina, United States
    16.21.1×
  146. 146ZürichZurich, Switzerland
    16.11.1×
  147. 146Wheatonlow-cost sensorsIllinois, United States
    16.11.1×
  148. 146HanfordCalifornia, United States
    16.11.1×
  149. 149NiskoSubcarpathia, Poland
    16.01.1×
  150. 149EłkWarmia-Masuria, Poland
    16.01.1×
  151. 149Wan ChaiWan Chai, Hong Kong
    16.01.1×
  152. 149ValdemoroMadrid, Spain
    16.01.1×
  153. 153StrasbourgGrand Est, France
    15.91.1×
  154. 154Birkirkaralow-cost sensorsBirkirkara, Malta
    15.81.1×
  155. 154LampertheimHesse, Germany
    15.81.1×
  156. 154AnnemasseAuvergne-Rhône-Alpes, France
    15.81.1×
  157. 154ValdostaGeorgia, United States
    15.81.1×
  158. 158ZamośćLublin, Poland
    15.61.0×
  159. 158MinamataKumamoto, Japan
    15.61.0×
  160. 158Abujalow-cost sensorsFCT, Nigeria
    15.61.0×
  161. 158StuttgartBaden-Wurttemberg, Germany
    15.61.0×
  162. 158PforzheimBaden-Wurttemberg, Germany
    15.61.0×
  163. 163ZhudongTaiwan, Taiwan
    15.31.0×
  164. 163StarnbergBavaria, Germany
    15.31.0×
  165. 163Gorzów WielkopolskiLubusz, Poland
    15.31.0×
  166. 163AguascalientesAguascalientes, Mexico
    15.31.0×
  167. 167AalenBaden-Wurttemberg, Germany
    15.21.0×
  168. 167ŻywiecSilesia, Poland
    15.21.0×
  169. 167KatowiceSilesia, Poland
    15.21.0×
  170. 167NilópolisRio de Janeiro, Brazil
    15.21.0×
  171. 171ObrenovacCentral Serbia, Serbia
    15.11.0×
  172. 171KarlsruheBaden-Wurttemberg, Germany
    15.11.0×
  173. 171Novi SadVojvodina, Serbia
    15.11.0×
  174. 171WhittierCalifornia, United States
    15.11.0×
  175. 175JarosławSubcarpathia, Poland
    15.01.0×
  176. 175Chiang MaiChiang Mai, Thailand
    15.01.0×
  177. 175KehlBaden-Wurttemberg, Germany
    15.01.0×
  178. 175Granite CityIllinois, United States
    15.01.0×
  179. 179YuanlinTaiwan, Taiwan
    14.91.0×
  180. 179TübingenBaden-Wurttemberg, Germany
    14.91.0×
  181. 179ŁódźŁódź Voivodeship, Poland
    14.91.0×
  182. 179RiedstadtHesse, Germany
    14.91.0×
  183. 183NiceProvence-Alpes-Côte d'Azur, France
    14.81.0×
  184. 183RadomskoŁódź Voivodeship, Poland
    14.81.0×
  185. 183BrzegOpole Voivodeship, Poland
    14.81.0×
  186. 186ChaozhouTaiwan, Taiwan
    14.71.0×
  187. 186KościerzynaPomerania, Poland
    14.71.0×
  188. 186FuenlabradaMadrid, Spain
    14.71.0×
  189. 189DaxiTaiwan, Taiwan
    14.61.0×
  190. 189HonmachiKumamoto, Japan
    14.61.0×
  191. 189LorcaMurcia, Spain
    14.61.0×
  192. 189Villingen-SchwenningenBaden-Wurttemberg, Germany
    14.61.0×
  193. 189TrenčínTrenčín Region, Slovakia
    14.61.0×
  194. 189ToruńKujawsko-Pomorskie, Poland
    14.61.0×
  195. 195OtwockMazovia, Poland
    14.51.0×
  196. 195FengshanTakao, Taiwan
    14.51.0×
  197. 195KołobrzegWest Pomerania, Poland
    14.51.0×
  198. 195Oconomowoclow-cost sensorsWisconsin, United States
    14.51.0×
  199. 195PowayCalifornia, United States
    14.51.0×
  200. 200HsinchuTaiwan, Taiwan
    14.41.0×

Top 200 of 2,166 shown.

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

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SmogRank, most polluted cities, PM2.5, September 30, 2026, smogrank.com/history/2026-09-30 (accessed 2 Oct 2026).

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