SmogRank / History / week of September 11, 2023

Most polluted cities, week of September 11, 2023

1,828 cities ranked by their average PM2.5 over the 7 days; the worst was Piedras Negras, Mexico, at 986.0 µg/m³. A city needs measurements on 70% of the days to be ranked.

  1. 1Piedras NegrasCoahuila, Mexico
    986.0
  2. 2Tha BoNong Khai, Thailand
    326.6
  3. 3DushanbeDushanbe, Tajikistan
    107.8
  4. 4Grande PrairieAlberta, Canada
    97.7
  5. 5AlexandriaAlexandria, Egypt
    66.9
  6. 6Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    62.4
  7. 7Prince GeorgeBritish Columbia, Canada
    57.7
  8. 8Fort St. JohnBritish Columbia, Canada
    56.1
  9. 9EdmontonAlberta, Canada
    53.3
  10. 10Fort McMurrayAlberta, Canada
    50.2
  11. 11Dhakalow-cost sensorsDhaka Division, Bangladesh
    46.3
  12. 12Lahorelow-cost sensorsPunjab, Pakistan
    45.4
  13. 13Islamabadlow-cost sensorsIslamabad, Pakistan
    41.4
  14. 14Addis AbabaAddis Ababa, Ethiopia
    38.2
  15. 15JakartaJakarta, Indonesia
    36.2
  16. 16Şabāḩ as SālimMubārak al Kabīr, Kuwait
    35.6
  17. 17MexicaliBaja California, Mexico
    35.5
  18. 18BamakoBamako, Mali
    35.2
  19. 18ReginaSaskatchewan, Canada
    35.2
  20. 20HanoiHanoi, Vietnam
    33.5
  21. 21BeijingBeijing, China
    33.4
  22. 22St. AlbertAlberta, Canada
    32.4
  23. 23Kampalalow-cost sensorsCentral Region, Uganda
    32.1
  24. 23DelhiDelhi, India
    32.1
  25. 23Prince AlbertSaskatchewan, Canada
    32.1
  26. 26AlgiersAlgiers, Algeria
    31.8
  27. 27Sherwood ParkAlberta, Canada
    31.6
  28. 28PristinaPristina, Kosovo
    31.4
  29. 29Santa Anita - Los FicusLima region, Peru
    31.1
  30. 30LimaLima Province, Peru
    30.7
  31. 31ZapopanJalisco, Mexico
    30.1
  32. 32SarajevoFederation of B&H, Bosnia and Herzegovina
    27.9
  33. 33San Francisco TlalcilalcalpanMéxico, Mexico
    27.8
  34. 34XonacatlánMéxico, Mexico
    27.7
  35. 35BismarckNorth Dakota, United States
    27.5
  36. 35San Salvador TizatlalliMéxico, Mexico
    27.5
  37. 37TolucaMéxico, Mexico
    27.0
  38. 38AntananarivoAnalamanga, Madagascar
    26.6
  39. 39Ciudad NezahualcoyotlMéxico, Mexico
    26.5
  40. 39SaskatoonSaskatchewan, Canada
    26.5
  41. 41JeddahMecca Region, Saudi Arabia
    25.9
  42. 41NairobiNairobi County, Kenya
    25.9
  43. 41Villa Poeta José Gálvez BarrenecheaLima region, Peru
    25.9
  44. 44TlaquepaqueJalisco, Mexico
    25.8
  45. 45SalorTashkent Region, Uzbekistan
    25.4
  46. 45MoreliaMichoacán, Mexico
    25.4
  47. 47ShenyangLiaoning, China
    24.7
  48. 48AnconaThe Marches, Italy
    24.6
  49. 49ŁukówLublin, Poland
    24.5
  50. 50AshgabatAshgabat, Turkmenistan
    24.0
  51. 51DębicaSubcarpathia, Poland
    23.7
  52. 52Ulu BedokSingapore
    23.5
  53. 53SaltilloCoahuila, Mexico
    23.1
  54. 54RadomskoŁódź Voivodeship, Poland
    22.9
  55. 55CosladaMadrid, Spain
    22.8
  56. 56San Francisco De BorjaLima region, Peru
    22.6
  57. 57NaplesCampania, Italy
    21.4
  58. 58GuadalajaraJalisco, Mexico
    21.0
  59. 59N'DjamenaN’Djaména, Chad
    20.8
  60. 60ChennaiTamil Nadu, India
    20.0
  61. 60IndioCalifornia, United States
    20.0
  62. 62Ang Mo Kio New TownSingapore
    19.9
  63. 63Red DeerAlberta, Canada
    19.8
  64. 64Kuala Lumpurlow-cost sensorsKuala Lumpur, Malaysia
    19.6
  65. 65GuangzhouGuangdong, China
    19.3
  66. 66ZamośćLublin, Poland
    19.2
  67. 66Richards Baylow-cost sensorsKwaZulu-Natal, South Africa
    19.2
  68. 66KrakówLesser Poland, Poland
    19.2
  69. 66Naucalpan de JuárezMéxico, Mexico
    19.2
  70. 66RedmondOregon, United States
    19.2
  71. 71LublinLublin, Poland
    19.1
  72. 72Falconara MarittimaThe Marches, Italy
    19.0
  73. 73HyderabadTelangana, India
    18.7
  74. 74Almatylow-cost sensorsAlmaty, Kazakhstan
    18.5
  75. 74BirminghamAlabama, United States
    18.5
  76. 76NiskoSubcarpathia, Poland
    17.9
  77. 76Quezon Citylow-cost sensorsNational Capital Region, Philippines
    17.9
  78. 76Mexico CityMexico City, Mexico
    17.9
  79. 79JesiThe Marches, Italy
    17.8
  80. 80MielecSubcarpathia, Poland
    17.7
  81. 81Karachilow-cost sensorsSindh, Pakistan
    17.6
  82. 82KolkataWest Bengal, India
    17.5
  83. 82BerounCentral Bohemia, Czechia
    17.5
  84. 84KielceŚwiętokrzyskie, Poland
    17.2
  85. 84KaliszGreater Poland, Poland
    17.2
  86. 86OlomoucOlomouc Region, Czechia
    17.0
  87. 87Jastrzębie ZdrójSilesia, Poland
    16.9
  88. 88SliemaTas-Sliema, Malta
    16.8
  89. 88TrnavaTrnava Region, Slovakia
    16.8
  90. 90OstravaMoravian-Silesian Region, Czechia
    16.6
  91. 90KatowiceSilesia, Poland
    16.6
  92. 90Tepeji del Río de OcampoHidalgo, Mexico
    16.6
  93. 93SofiaSofia-Capital, Bulgaria
    16.5
  94. 94Ciudad ApodacaNuevo León, Mexico
    16.3
  95. 94FontanaCalifornia, United States
    16.3
  96. 96AsprópyrgosAttica, Greece
    16.2
  97. 96MiskolcBorsod-Abaúj-Zemplén, Hungary
    16.2
  98. 96TarnówLesser Poland, Poland
    16.2
  99. 96Queenstown Estatelow-cost sensorsSingapore
    16.2
  100. 100Banja LukaSrpska, Bosnia and Herzegovina
    16.1
  101. 100Ciudad JuárezChihuahua, Mexico
    16.1
  102. 102SuwałkiPodlasie, Poland
    16.0
  103. 102GrajewoPodlasie, Poland
    16.0
  104. 102GrazStyria, Austria
    16.0
  105. 102GdańskPomerania, Poland
    16.0
  106. 106HonmachiKumamoto, Japan
    15.9
  107. 106PardubicePardubice Region, Czechia
    15.9
  108. 106ToruńKujawsko-Pomorskie, Poland
    15.9
  109. 106TrentoTrentino-Alto Adige, Italy
    15.9
  110. 110São PauloSão Paulo, Brazil
    15.8
  111. 111AthensAttica, Greece
    15.7
  112. 111MostÚstí nad Labem Region, Czechia
    15.7
  113. 111RacibórzSilesia, Poland
    15.7
  114. 111AlessandriaPiedmont, Italy
    15.7
  115. 111Grants PassOregon, United States
    15.7
  116. 116DěčínÚstí nad Labem Region, Czechia
    15.6
  117. 116SalamancaGuanajuato, Mexico
    15.6
  118. 118HavířovMoravian-Silesian Region, Czechia
    15.5
  119. 118Český TěšínMoravian-Silesian Region, Czechia
    15.5
  120. 120WarsawMazovia, Poland
    15.4
  121. 120NagaiYamagata, Japan
    15.4
  122. 120PassauBavaria, Germany
    15.4
  123. 120GdyniaPomerania, Poland
    15.4
  124. 120PueblaPuebla, Mexico
    15.4
  125. 125TakasakiGunma, Japan
    15.3
  126. 125MinamataKumamoto, Japan
    15.3
  127. 125EvergemFlanders, Belgium
    15.3
  128. 125BolzanoTrentino-Alto Adige, Italy
    15.3
  129. 129AugustówPodlasie, Poland
    15.2
  130. 129MartinŽilina Region, Slovakia
    15.2
  131. 129SalernoCampania, Italy
    15.2
  132. 129CuernavacaMorelos, Mexico
    15.2
  133. 133PřerovOlomouc Region, Czechia
    15.1
  134. 134KościanGreater Poland, Poland
    15.0
  135. 135StarachowiceŚwiętokrzyskie, Poland
    14.9
  136. 135SiedlceMazovia, Poland
    14.9
  137. 135NišCentral Serbia, Serbia
    14.9
  138. 135Abujalow-cost sensorsFCT, Nigeria
    14.9
  139. 135LitvínovÚstí nad Labem Region, Czechia
    14.9
  140. 135SopotPomerania, Poland
    14.9
  141. 135KutnoŁódź Voivodeship, Poland
    14.9
  142. 142DunaújvárosFejér, Hungary
    14.8
  143. 143TepliceÚstí nad Labem Region, Czechia
    14.7
  144. 143Santa CatarinaNuevo León, Mexico
    14.7
  145. 145AstanaAstana, Kazakhstan
    14.6
  146. 145ŻabbarĦaż-Żabbar, Malta
    14.6
  147. 145Frýdek-MístekMoravian-Silesian Region, Czechia
    14.6
  148. 145MontemurloTuscany, Italy
    14.6
  149. 145OmahaNebraska, United States
    14.6
  150. 150MostaIl-Mosta, Malta
    14.5
  151. 150ZnojmoSouth Moravian, Czechia
    14.5
  152. 150WłocławekKujawsko-Pomorskie, Poland
    14.5
  153. 150BydgoszczKujawsko-Pomorskie, Poland
    14.5
  154. 154PułtuskMazovia, Poland
    14.4
  155. 154Shakaskraallow-cost sensorsKwaZulu-Natal, South Africa
    14.4
  156. 154SanoTochigi, Japan
    14.4
  157. 157ThessaloníkiCentral Macedonia, Greece
    14.3
  158. 157RadomMazovia, Poland
    14.3
  159. 157Hradec KrálovéHradec Králové Region, Czechia
    14.3
  160. 160RzeszówSubcarpathia, Poland
    14.2
  161. 160StabroekFlanders, Belgium
    14.2
  162. 160MaldegemFlanders, Belgium
    14.2
  163. 160SenicaTrnava Region, Slovakia
    14.2
  164. 160ŽideniceSouth Moravian, Czechia
    14.2
  165. 160PisaTuscany, Italy
    14.2
  166. 166Kathmandulow-cost sensorsBagmati Province, Nepal
    14.1
  167. 166Sainte-Geneviève-des-BoisÎle-de-France, France
    14.1
  168. 168BiałystokPodlasie, Poland
    14.0
  169. 168Bishkeklow-cost sensorsBishkek, Kyrgyzstan
    14.0
  170. 168OpavaMoravian-Silesian Region, Czechia
    14.0
  171. 168PoznańGreater Poland, Poland
    14.0
  172. 168ShreveportLouisiana, United States
    14.0
  173. 173PrešovPrešov Region, Slovakia
    13.9
  174. 173WolfsbergCarinthia, Austria
    13.9
  175. 173NitraNitra Region, Slovakia
    13.9
  176. 173OpoleOpole Voivodeship, Poland
    13.9
  177. 173Kędzierzyn-KoźleOpole Voivodeship, Poland
    13.9
  178. 173HernandoMississippi, United States
    13.9
  179. 173La Crescenta-Montroselow-cost sensorsCalifornia, United States
    13.9
  180. 180EłkWarmia-Masuria, Poland
    13.8
  181. 180BelgradeCentral Serbia, Serbia
    13.8
  182. 180Wan ChaiWan Chai, Hong Kong
    13.8
  183. 180RoveretoTrentino-Alto Adige, Italy
    13.8
  184. 180RiversideCalifornia, United States
    13.8
  185. 185ZwijndrechtFlanders, Belgium
    13.7
  186. 185BohumínMoravian-Silesian Region, Czechia
    13.7
  187. 185LęborkPomerania, Poland
    13.7
  188. 185OlatheKansas, United States
    13.7
  189. 185BanningCalifornia, United States
    13.7
  190. 190MarratxíBalearic Islands, Spain
    13.6
  191. 191KazincbarcikaBorsod-Abaúj-Zemplén, Hungary
    13.5
  192. 191RuseRuse, Bulgaria
    13.5
  193. 191LegionowoMazovia, Poland
    13.5
  194. 191KętrzynWarmia-Masuria, Poland
    13.5
  195. 191KrapkowiceOpole Voivodeship, Poland
    13.5
  196. 196KošiceKošice Region, Slovakia
    13.4
  197. 196DelmenhorstLower Saxony, Germany
    13.4
  198. 196BratislavaBratislava Region, Slovakia
    13.4
  199. 196KladnoCentral Bohemia, Czechia
    13.4
  200. 196FlorenceTuscany, Italy
    13.4

Top 200 of 1,828 shown.

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