SmogRank / History / August 28, 2025

Most polluted cities on August 28, 2025

2,432 cities ranked by their average PM2.5 over the day; the worst was Saltillo, Mexico, at 366.0 µg/m³. Each city's own local calendar day.

  1. 1SaltilloCoahuila, Mexico
    366.024.4×
  2. 2KarurTamil Nadu, India
    192.012.8×
  3. 3CuddaloreTamil Nadu, India
    123.08.2×
  4. 4TirupparangunramTamil Nadu, India
    89.86.0×
  5. 5Faisalabadlow-cost sensorsPunjab, Pakistan
    76.75.1×
  6. 6Vereeniginglow-cost sensorsGauteng, South Africa
    73.24.9×
  7. 7KigaliKigali, Rwanda
    62.94.2×
  8. 8BhiwadiRajasthan, India
    58.43.9×
  9. 9NoidaUttar Pradesh, India
    57.83.9×
  10. 10SingrauliMadhya Pradesh, India
    57.33.8×
  11. 11RānipetTamil Nadu, India
    56.03.7×
  12. 12GummidipundiTamil Nadu, India
    53.03.5×
  13. 12NeelankaraiTamil Nadu, India
    53.03.5×
  14. 14NarelaDelhi, India
    51.73.4×
  15. 15ChittoorAndhra Pradesh, India
    51.63.4×
  16. 16Lahorelow-cost sensorsPunjab, Pakistan
    51.43.4×
  17. 17Gujranwalalow-cost sensorsPunjab, Pakistan
    51.23.4×
  18. 18Multanlow-cost sensorsPunjab, Pakistan
    48.63.2×
  19. 18DelhiDelhi, India
    48.63.2×
  20. 20Bahawalpurlow-cost sensorsPunjab, Pakistan
    47.83.2×
  21. 21Shakaskraallow-cost sensorsKwaZulu-Natal, South Africa
    47.03.1×
  22. 22Istanbullow-cost sensorsIstanbul, Turkey
    46.63.1×
  23. 23NajafgarhDelhi, India
    45.23.0×
  24. 24MuzaffarnagarUttar Pradesh, India
    44.63.0×
  25. 24Ashaimanlow-cost sensorsGreater Accra, Ghana
    44.63.0×
  26. 26DādriUttar Pradesh, India
    43.32.9×
  27. 27NagaonAssam, India
    43.02.9×
  28. 27GhāziābādUttar Pradesh, India
    43.02.9×
  29. 29Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    42.02.8×
  30. 30Sialkotlow-cost sensorsPunjab, Pakistan
    41.52.8×
  31. 31Aya NagarDelhi, India
    38.92.6×
  32. 32Richards Baylow-cost sensorsKwaZulu-Natal, South Africa
    38.72.6×
  33. 33BoisarMaharashtra, India
    38.62.6×
  34. 34Lagoslow-cost sensorsLagos, Nigeria
    38.52.6×
  35. 35BuxarBihar, India
    38.02.5×
  36. 36GwaliorMadhya Pradesh, India
    37.82.5×
  37. 37VijayawadaAndhra Pradesh, India
    37.72.5×
  38. 37Sri GanganagarRajasthan, India
    37.72.5×
  39. 39TirupatiAndhra Pradesh, India
    37.42.5×
  40. 40TonkRajasthan, India
    36.32.4×
  41. 41PanvelMaharashtra, India
    35.82.4×
  42. 42RasapūdipalemAndhra Pradesh, India
    34.92.3×
  43. 43Dubailow-cost sensorsDubai, United Arab Emirates
    34.12.3×
  44. 43TiruchirappalliTamil Nadu, India
    34.12.3×
  45. 45AgraUttar Pradesh, India
    33.62.2×
  46. 46Greater NoidaUttar Pradesh, India
    33.42.2×
  47. 47BadlapurMaharashtra, India
    33.32.2×
  48. 48Hararelow-cost sensorsHarare, Zimbabwe
    33.22.2×
  49. 49Temalow-cost sensorsGreater Accra, Ghana
    33.02.2×
  50. 50MorādābādUttar Pradesh, India
    32.82.2×
  51. 51JabalpurMadhya Pradesh, India
    32.72.2×
  52. 52Rawalpindilow-cost sensorsPunjab, Pakistan
    32.62.2×
  53. 53Santa Anita - Los FicusLima region, Peru
    32.52.2×
  54. 54QuthbullapurTelangana, India
    32.02.1×
  55. 55BaddiHimachal Pradesh, India
    31.92.1×
  56. 56KanpurUttar Pradesh, India
    31.62.1×
  57. 57ChāpraBihar, India
    31.42.1×
  58. 58AnkleshwarGujarat, India
    31.12.1×
  59. 59Karachilow-cost sensorsSindh, Pakistan
    30.92.1×
  60. 60RoparPunjab, India
    30.72.0×
  61. 61ChittorgarhRajasthan, India
    30.62.0×
  62. 62NalbāriAssam, India
    30.52.0×
  63. 63LucknowUttar Pradesh, India
    30.12.0×
  64. 63LimaLima Province, Peru
    30.12.0×
  65. 65AnantapurAndhra Pradesh, India
    30.02.0×
  66. 66Hyderabadlow-cost sensorsSindh, Pakistan
    29.92.0×
  67. 67AhmedabadGujarat, India
    29.82.0×
  68. 68RājsamandRajasthan, India
    29.42.0×
  69. 69CholulaPuebla, Mexico
    29.32.0×
  70. 70ChandigarhChandigarh, India
    28.71.9×
  71. 71PatnaBihar, India
    27.91.9×
  72. 72KalyānMaharashtra, India
    27.81.9×
  73. 73Quettalow-cost sensorsBalochistan, Pakistan
    27.61.8×
  74. 74Islamabadlow-cost sensorsIslamabad, Pakistan
    27.51.8×
  75. 75MalegaonMaharashtra, India
    26.31.8×
  76. 75HājīpurBihar, India
    26.31.8×
  77. 75ArāriaBihar, India
    26.31.8×
  78. 78BegusaraiBihar, India
    25.51.7×
  79. 79TanabeWakayama, Japan
    25.11.7×
  80. 80ShingūWakayama, Japan
    25.01.7×
  81. 81SirohiRajasthan, India
    24.71.6×
  82. 82RourkelaOdisha, India
    24.31.6×
  83. 82JalgaonMaharashtra, India
    24.31.6×
  84. 84XonacatlánMéxico, Mexico
    24.21.6×
  85. 84AridaWakayama, Japan
    24.21.6×
  86. 86SilcharAssam, India
    23.81.6×
  87. 87JalandharPunjab, India
    23.21.5×
  88. 87GandhinagarGujarat, India
    23.21.5×
  89. 89HanumāngarhRajasthan, India
    23.11.5×
  90. 89ChāndaMaharashtra, India
    23.11.5×
  91. 91KainanWakayama, Japan
    23.01.5×
  92. 91Medina Estateslow-cost sensorsGreater Accra, Ghana
    23.01.5×
  93. 93AjmerRajasthan, India
    22.91.5×
  94. 93Mollet del VallèsCatalonia, Spain
    22.91.5×
  95. 93TuxtlaChiapas, Mexico
    22.91.5×
  96. 96AkiKochi, Japan
    22.81.5×
  97. 97GobōWakayama, Japan
    22.61.5×
  98. 98NandedMaharashtra, India
    22.51.5×
  99. 99MangaluruKarnataka, India
    22.41.5×
  100. 100VijayapuraKarnataka, India
    22.11.5×
  101. 101ŌtsukiYamanashi, Japan
    22.01.5×
  102. 102Accralow-cost sensorsGreater Accra, Ghana
    21.91.5×
  103. 102Barrio de PeralMurcia, Spain
    21.91.5×
  104. 102San Francisco TlalcilalcalpanMéxico, Mexico
    21.91.5×
  105. 105PratāpgarhRajasthan, India
    21.71.4×
  106. 106AnanTokushima, Japan
    21.61.4×
  107. 107GūduvāncheriTamil Nadu, India
    21.41.4×
  108. 107MinatoWakayama, Japan
    21.41.4×
  109. 109IwadeWakayama, Japan
    21.31.4×
  110. 110CartagenaMurcia, Spain
    21.21.4×
  111. 110KhargharMaharashtra, India
    21.21.4×
  112. 112KochiKochi, Japan
    21.11.4×
  113. 113Wadgaon KolhatiMaharashtra, India
    21.01.4×
  114. 114NagpurMaharashtra, India
    20.81.4×
  115. 115ChennaiTamil Nadu, India
    20.61.4×
  116. 115Naucalpan de JuárezMéxico, Mexico
    20.61.4×
  117. 117ShivamoggaKarnataka, India
    20.51.4×
  118. 117Narutochō-mitsuishiTokushima, Japan
    20.51.4×
  119. 117ManlleuCatalonia, Spain
    20.51.4×
  120. 120KanchipuramTamil Nadu, India
    20.41.4×
  121. 120JaisalmerRajasthan, India
    20.41.4×
  122. 122BhilwaraRajasthan, India
    20.31.4×
  123. 122EdmontonAlberta, Canada
    20.31.4×
  124. 124JakartaJakarta, Indonesia
    20.21.3×
  125. 125JhunjhunūnRajasthan, India
    20.11.3×
  126. 125BakersfieldCalifornia, United States
    20.11.3×
  127. 127HermistonOregon, United States
    20.01.3×
  128. 128BārmerRajasthan, India
    19.91.3×
  129. 128ValenciaValencia, Spain
    19.91.3×
  130. 130HyderabadTelangana, India
    19.81.3×
  131. 130Prince GeorgeBritish Columbia, Canada
    19.81.3×
  132. 132PuneMaharashtra, India
    19.61.3×
  133. 132KaliszGreater Poland, Poland
    19.61.3×
  134. 134Grande PrairieAlberta, Canada
    19.51.3×
  135. 135NāgaurRajasthan, India
    19.41.3×
  136. 135GdyniaPomerania, Poland
    19.41.3×
  137. 135KinokawaWakayama, Japan
    19.41.3×
  138. 135MohaliPunjab, India
    19.41.3×
  139. 135NankokuKochi, Japan
    19.41.3×
  140. 140RājgīrBihar, India
    19.31.3×
  141. 140JesiThe Marches, Italy
    19.31.3×
  142. 142TeltowBrandenburg, Germany
    19.21.3×
  143. 142SarajevoFederation of B&H, Bosnia and Herzegovina
    19.21.3×
  144. 144Addis AbabaAddis Ababa, Ethiopia
    19.01.3×
  145. 144FengshanTakao, Taiwan
    19.01.3×
  146. 144LewistonIdaho, United States
    19.01.3×
  147. 147MurciaMurcia, Spain
    18.91.3×
  148. 147GelsenkirchenNorth Rhine-Westphalia, Germany
    18.91.3×
  149. 149JaipurRajasthan, India
    18.81.3×
  150. 149AcerraCampania, Italy
    18.81.3×
  151. 151ChūruRajasthan, India
    18.71.2×
  152. 151BerlinState of Berlin, Germany
    18.71.2×
  153. 153HubballiKarnataka, India
    18.61.2×
  154. 154KotaRajasthan, India
    18.41.2×
  155. 154PrayagrajUttar Pradesh, India
    18.41.2×
  156. 156JalorRajasthan, India
    18.31.2×
  157. 156MumbaiMaharashtra, India
    18.31.2×
  158. 156TijuanaBaja California, Mexico
    18.31.2×
  159. 156CorcoranCalifornia, United States
    18.31.2×
  160. 160SīkarRajasthan, India
    18.21.2×
  161. 160NakamuraKochi, Japan
    18.21.2×
  162. 162BarcelonaCatalonia, Spain
    18.11.2×
  163. 163KolkataWest Bengal, India
    18.01.2×
  164. 163BharatpurRajasthan, India
    18.01.2×
  165. 163OwaseMie, Japan
    18.01.2×
  166. 163InoKochi, Japan
    18.01.2×
  167. 163HashimotoWakayama, Japan
    18.01.2×
  168. 168AlcantarillaMurcia, Spain
    17.71.2×
  169. 168CiutadellaBalearic Islands, Spain
    17.71.2×
  170. 168KumanoMie, Japan
    17.71.2×
  171. 171NashikMaharashtra, India
    17.61.2×
  172. 171Molina de SeguraMurcia, Spain
    17.61.2×
  173. 171ZnojmoSouth Moravian, Czechia
    17.61.2×
  174. 171SopotPomerania, Poland
    17.61.2×
  175. 171MilanLombardy, Italy
    17.61.2×
  176. 171San Salvador TizatlalliMéxico, Mexico
    17.61.2×
  177. 177ParbhaniMaharashtra, India
    17.51.2×
  178. 177MeerutUttar Pradesh, India
    17.51.2×
  179. 177WolfsbergCarinthia, Austria
    17.51.2×
  180. 177BendOregon, United States
    17.51.2×
  181. 181BhiwandiMaharashtra, India
    17.41.2×
  182. 181ArrahBihar, India
    17.41.2×
  183. 183AriyalūrTamil Nadu, India
    17.31.2×
  184. 183Wan ChaiWan Chai, Hong Kong
    17.31.2×
  185. 183Prince AlbertSaskatchewan, Canada
    17.31.2×
  186. 186LorcaMurcia, Spain
    17.11.1×
  187. 186PoznańGreater Poland, Poland
    17.11.1×
  188. 186GdańskPomerania, Poland
    17.11.1×
  189. 189PalmaBalearic Islands, Spain
    17.01.1×
  190. 190SāngliMaharashtra, India
    16.81.1×
  191. 190SennanOsaka, Japan
    16.81.1×
  192. 192ShidoKagawa, Japan
    16.71.1×
  193. 193TobaMie, Japan
    16.61.1×
  194. 193NandriRajasthan, India
    16.61.1×
  195. 195DurgapurWest Bengal, India
    16.51.1×
  196. 195AurangabadMaharashtra, India
    16.51.1×
  197. 195BuziTaiwan, Taiwan
    16.51.1×
  198. 195KashiwaraNara, Japan
    16.51.1×
  199. 195SaskatoonSaskatchewan, Canada
    16.51.1×
  200. 200Říčanylow-cost sensorsCentral Bohemia, Czechia
    16.41.1×

Top 200 of 2,432 shown.

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