SmogRank / History / October 3, 2025

Most polluted cities on October 3, 2025

2,462 cities ranked by their average PM2.5 over the day; the worst was Stodůlky, Czechia, at 356.9 µg/m³. Each city's own local calendar day.

  1. 1Stodůlkylow-cost sensorsPrague, Czechia
    356.923.8×
  2. 2Faisalabadlow-cost sensorsPunjab, Pakistan
    93.76.2×
  3. 3Multanlow-cost sensorsPunjab, Pakistan
    92.66.2×
  4. 4DushanbeDushanbe, Tajikistan
    85.85.7×
  5. 5KrotoszynGreater Poland, Poland
    71.74.8×
  6. 6Lahorelow-cost sensorsPunjab, Pakistan
    66.44.4×
  7. 7Gujranwalalow-cost sensorsPunjab, Pakistan
    64.64.3×
  8. 8Bahawalpurlow-cost sensorsPunjab, Pakistan
    64.44.3×
  9. 9GummidipundiTamil Nadu, India
    61.34.1×
  10. 10Blantyrelow-cost sensorsSouthern Region, Malawi
    60.84.1×
  11. 11HanumāngarhRajasthan, India
    57.73.8×
  12. 12Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    57.23.8×
  13. 13RasapūdipalemAndhra Pradesh, India
    55.23.7×
  14. 14GhāziābādUttar Pradesh, India
    54.13.6×
  15. 15BhiwadiRajasthan, India
    50.43.4×
  16. 16FaridabadHaryana, India
    50.33.4×
  17. 17CuddaloreTamil Nadu, India
    50.13.3×
  18. 18ŁaskŁódź Voivodeship, Poland
    48.73.2×
  19. 19ChittoorAndhra Pradesh, India
    46.53.1×
  20. 20OtwockMazovia, Poland
    45.43.0×
  21. 21Kampalalow-cost sensorsCentral Region, Uganda
    45.03.0×
  22. 22KaliszGreater Poland, Poland
    44.93.0×
  23. 23Sialkotlow-cost sensorsPunjab, Pakistan
    43.52.9×
  24. 24DādriUttar Pradesh, India
    43.42.9×
  25. 25KanchipuramTamil Nadu, India
    41.42.8×
  26. 26TirupatiAndhra Pradesh, India
    41.32.8×
  27. 27Dubailow-cost sensorsDubai, United Arab Emirates
    41.02.7×
  28. 28Changchunlow-cost sensorsJilin, China
    40.62.7×
  29. 29SerilingampalleTelangana, India
    40.52.7×
  30. 30TirupparangunramTamil Nadu, India
    40.12.7×
  31. 31Rawalpindilow-cost sensorsPunjab, Pakistan
    39.52.6×
  32. 32Hyderabadlow-cost sensorsSindh, Pakistan
    38.52.6×
  33. 33BuxarBihar, India
    38.02.5×
  34. 34Jastrzębie ZdrójSilesia, Poland
    37.82.5×
  35. 35Greater NoidaUttar Pradesh, India
    37.52.5×
  36. 36ŻyrardówMazovia, Poland
    36.92.5×
  37. 37TonkRajasthan, India
    36.82.5×
  38. 37SirsaHaryana, India
    36.82.5×
  39. 39NarelaDelhi, India
    36.72.4×
  40. 39RadomskoŁódź Voivodeship, Poland
    36.72.4×
  41. 41SrinagarJammu and Kashmir, India
    36.32.4×
  42. 41Sri GanganagarRajasthan, India
    36.32.4×
  43. 43WenatcheeWashington, United States
    35.52.4×
  44. 44NoidaUttar Pradesh, India
    35.02.3×
  45. 45Vereeniginglow-cost sensorsGauteng, South Africa
    34.82.3×
  46. 46Santa Anita - Los FicusLima region, Peru
    34.52.3×
  47. 47ShenyangLiaoning, China
    33.92.3×
  48. 48NagaonAssam, India
    33.42.2×
  49. 48Bielsko-BialaSilesia, Poland
    33.42.2×
  50. 50BengaluruKarnataka, India
    33.02.2×
  51. 51Islamabadlow-cost sensorsIslamabad, Pakistan
    32.82.2×
  52. 52KhargharMaharashtra, India
    32.42.2×
  53. 53KłodzkoLower Silesia, Poland
    32.12.1×
  54. 54LucknowUttar Pradesh, India
    30.62.0×
  55. 55KarurTamil Nadu, India
    30.52.0×
  56. 56AriyalūrTamil Nadu, India
    30.32.0×
  57. 57Czechowice-DziedziceSilesia, Poland
    30.22.0×
  58. 58ChennaiTamil Nadu, India
    30.12.0×
  59. 58DelhiDelhi, India
    30.12.0×
  60. 60AjmerRajasthan, India
    30.02.0×
  61. 60Aya NagarDelhi, India
    30.02.0×
  62. 62SiedlceMazovia, Poland
    29.52.0×
  63. 63GūduvāncheriTamil Nadu, India
    29.11.9×
  64. 64HāpurUttar Pradesh, India
    29.01.9×
  65. 65RānipetTamil Nadu, India
    28.91.9×
  66. 66Karachilow-cost sensorsSindh, Pakistan
    28.71.9×
  67. 67Quezon Citylow-cost sensorsNational Capital Region, Philippines
    28.51.9×
  68. 68ArāriaBihar, India
    28.41.9×
  69. 69BrzegOpole Voivodeship, Poland
    28.31.9×
  70. 70NalbāriAssam, India
    28.01.9×
  71. 70Winterthurlow-cost sensorsZurich, Switzerland
    28.01.9×
  72. 70LimaLima Province, Peru
    28.01.9×
  73. 73JhunjhunūnRajasthan, India
    27.81.9×
  74. 73WłocławekKujawsko-Pomorskie, Poland
    27.81.9×
  75. 75KadapaAndhra Pradesh, India
    27.61.8×
  76. 76ŻywiecSilesia, Poland
    27.51.8×
  77. 77NajafgarhDelhi, India
    27.41.8×
  78. 77Říčanylow-cost sensorsCentral Bohemia, Czechia
    27.41.8×
  79. 79JaipurRajasthan, India
    27.31.8×
  80. 79XonacatlánMéxico, Mexico
    27.31.8×
  81. 81BhopalMadhya Pradesh, India
    27.21.8×
  82. 82RadomMazovia, Poland
    27.11.8×
  83. 82AurangabadMaharashtra, India
    27.11.8×
  84. 82KutnoŁódź Voivodeship, Poland
    27.11.8×
  85. 85TambaramTamil Nadu, India
    27.01.8×
  86. 86GurugramHaryana, India
    26.91.8×
  87. 86Iloilolow-cost sensorsWestern Visayas, Philippines
    26.91.8×
  88. 88ZaječarCentral Serbia, Serbia
    26.81.8×
  89. 88PoznańGreater Poland, Poland
    26.81.8×
  90. 88Wadgaon KolhatiMaharashtra, India
    26.81.8×
  91. 91WawerMazovia, Poland
    26.71.8×
  92. 92JarosławSubcarpathia, Poland
    26.61.8×
  93. 92WrocławLower Silesia, Poland
    26.61.8×
  94. 94KolhāpurMaharashtra, India
    26.51.8×
  95. 95RoparPunjab, India
    26.41.8×
  96. 96MorādābādUttar Pradesh, India
    26.21.7×
  97. 96MeerutUttar Pradesh, India
    26.21.7×
  98. 96ChandigarhChandigarh, India
    26.21.7×
  99. 99Portolow-cost sensorsPorto, Portugal
    26.01.7×
  100. 100RzeszówSubcarpathia, Poland
    25.91.7×
  101. 101Quettalow-cost sensorsBalochistan, Pakistan
    25.61.7×
  102. 101ToruńKujawsko-Pomorskie, Poland
    25.61.7×
  103. 103SilcharAssam, India
    25.41.7×
  104. 104LegionowoMazovia, Poland
    25.31.7×
  105. 105Konstancin-JeziornaMazovia, Poland
    25.21.7×
  106. 106Istanbullow-cost sensorsIstanbul, Turkey
    24.81.7×
  107. 106PatnaBihar, India
    24.81.7×
  108. 106JakartaJakarta, Indonesia
    24.81.7×
  109. 106Hacienda Santa FeJalisco, Mexico
    24.81.7×
  110. 106ByasanagarOdisha, India
    24.81.7×
  111. 111BharatpurRajasthan, India
    24.71.6×
  112. 112JīndHaryana, India
    24.51.6×
  113. 112DhuleMaharashtra, India
    24.51.6×
  114. 114BarrieOntario, Canada
    24.31.6×
  115. 115RacibórzSilesia, Poland
    24.11.6×
  116. 116TiruchirappalliTamil Nadu, India
    23.51.6×
  117. 116San Francisco TlalcilalcalpanMéxico, Mexico
    23.51.6×
  118. 116MohaliPunjab, India
    23.51.6×
  119. 119CuttackOdisha, India
    23.41.6×
  120. 120CoimbatoreTamil Nadu, India
    23.31.6×
  121. 121KatowiceSilesia, Poland
    23.21.5×
  122. 122MielecSubcarpathia, Poland
    23.11.5×
  123. 123BurrianaValencia, Spain
    23.01.5×
  124. 124SingrauliMadhya Pradesh, India
    22.81.5×
  125. 125DębicaSubcarpathia, Poland
    22.71.5×
  126. 125Chrang Chamreh Muoylow-cost sensorsPhnom Penh, Cambodia
    22.71.5×
  127. 127LubańLower Silesia, Poland
    22.51.5×
  128. 128PruszkówMazovia, Poland
    22.41.5×
  129. 128AgraUttar Pradesh, India
    22.41.5×
  130. 128Santa AnitaJalisco, Mexico
    22.41.5×
  131. 131VijayapuraKarnataka, India
    22.21.5×
  132. 131VapiGujarat, India
    22.21.5×
  133. 133AhmedabadGujarat, India
    22.11.5×
  134. 134KrakówLesser Poland, Poland
    22.01.5×
  135. 135Skarżysko-KamiennaŚwiętokrzyskie, Poland
    21.91.5×
  136. 136CiechanówMazovia, Poland
    21.81.5×
  137. 136San Salvador TizatlalliMéxico, Mexico
    21.81.5×
  138. 138StarachowiceŚwiętokrzyskie, Poland
    21.71.4×
  139. 138SāngliMaharashtra, India
    21.71.4×
  140. 138BhilwaraRajasthan, India
    21.71.4×
  141. 141San Francisco De BorjaLima region, Peru
    21.61.4×
  142. 142NagpurMaharashtra, India
    21.51.4×
  143. 142KotaRajasthan, India
    21.51.4×
  144. 142Vientianelow-cost sensorsVientiane Prefecture, Laos
    21.51.4×
  145. 145NavalpattuTamil Nadu, India
    21.41.4×
  146. 146RānīganjWest Bengal, India
    21.11.4×
  147. 146CholulaPuebla, Mexico
    21.11.4×
  148. 148WarsawMazovia, Poland
    21.01.4×
  149. 149GudalurTamil Nadu, India
    20.81.4×
  150. 149BaripādaOdisha, India
    20.81.4×
  151. 149Lagoslow-cost sensorsLagos, Nigeria
    20.81.4×
  152. 152ShivamoggaKarnataka, India
    20.71.4×
  153. 152SaugorMadhya Pradesh, India
    20.71.4×
  154. 152KościerzynaPomerania, Poland
    20.71.4×
  155. 152BydgoszczKujawsko-Pomorskie, Poland
    20.71.4×
  156. 152NeelankaraiTamil Nadu, India
    20.71.4×
  157. 157BadlapurMaharashtra, India
    20.61.4×
  158. 157MalackyBratislava Region, Slovakia
    20.61.4×
  159. 157CallaoCallao, Peru
    20.61.4×
  160. 160GwaliorMadhya Pradesh, India
    20.41.4×
  161. 161NiskoSubcarpathia, Poland
    20.31.4×
  162. 161FengshanTakao, Taiwan
    20.31.4×
  163. 163AmravatiMaharashtra, India
    20.21.3×
  164. 163HonmachiKumamoto, Japan
    20.21.3×
  165. 165VijayawadaAndhra Pradesh, India
    19.81.3×
  166. 165KarauliRajasthan, India
    19.81.3×
  167. 167BhiwandiMaharashtra, India
    19.61.3×
  168. 168MühlhausenThuringia, Germany
    19.41.3×
  169. 169KielceŚwiętokrzyskie, Poland
    19.31.3×
  170. 169DouliuTaiwan, Taiwan
    19.31.3×
  171. 169ZhushanTaiwan, Taiwan
    19.31.3×
  172. 169Ciudad Benito JuárezNuevo León, Mexico
    19.31.3×
  173. 173ChāndaMaharashtra, India
    19.21.3×
  174. 173BernburgSaxony-Anhalt, Germany
    19.21.3×
  175. 173Cedar RapidsIowa, United States
    19.21.3×
  176. 173MankatoMinnesota, United States
    19.21.3×
  177. 177Banja LukaSrpska, Bosnia and Herzegovina
    19.11.3×
  178. 178ŚwiecieKujawsko-Pomorskie, Poland
    19.01.3×
  179. 178Kędzierzyn-KoźleOpole Voivodeship, Poland
    19.01.3×
  180. 178Zagreblow-cost sensorsZagreb, Croatia
    19.01.3×
  181. 178LoznicaCentral Serbia, Serbia
    19.01.3×
  182. 182ČadcaŽilina Region, Slovakia
    18.91.3×
  183. 182GarcíaNuevo León, Mexico
    18.91.3×
  184. 184HubballiKarnataka, India
    18.81.3×
  185. 184BrookfieldIllinois, United States
    18.81.3×
  186. 184DuluthMinnesota, United States
    18.81.3×
  187. 187PratāpgarhRajasthan, India
    18.71.2×
  188. 187RairangpurOdisha, India
    18.71.2×
  189. 187GijónAsturias, Spain
    18.71.2×
  190. 190LublinLublin, Poland
    18.61.2×
  191. 190YuanlinTaiwan, Taiwan
    18.61.2×
  192. 190ErlunTaiwan, Taiwan
    18.61.2×
  193. 190OpoleOpole Voivodeship, Poland
    18.61.2×
  194. 190Little RockArkansas, United States
    18.61.2×
  195. 190ElginIllinois, United States
    18.61.2×
  196. 196ChāpraBihar, India
    18.51.2×
  197. 196PljevljaPljevlja, Montenegro
    18.51.2×
  198. 198KalyānMaharashtra, India
    18.41.2×
  199. 198HitoyoshiKumamoto, Japan
    18.41.2×
  200. 198Haarlemlow-cost sensorsNorth Holland, The Netherlands
    18.41.2×

Top 200 of 2,462 shown.

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