SmogRank / History / March 25, 2026

Most polluted cities on March 25, 2026

2,321 cities ranked by their average PM2.5 over the day; the worst was Belagavi, India, at 227.0 µg/m³. Each city's own local calendar day.

← Belagavi 227.0 WHO 24-hour guideline
Every city ranked for March 25, 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. 1BelagaviKarnataka, India
    227.015.1×
  2. 2Changchunlow-cost sensorsJilin, China
    155.010.3×
  3. 3GurugramHaryana, India
    148.09.9×
  4. 4Dera MāndiDelhi, India
    136.09.1×
  5. 5NarelaDelhi, India
    111.07.4×
  6. 6FaridabadHaryana, India
    109.57.3×
  7. 7RoparPunjab, India
    108.07.2×
  8. 8SingrauliMadhya Pradesh, India
    106.07.1×
  9. 9ClosepetKarnataka, India
    98.56.6×
  10. 10NoidaUttar Pradesh, India
    83.45.6×
  11. 11Chiang MaiChiang Mai, Thailand
    81.95.5×
  12. 12HājīpurBihar, India
    81.15.4×
  13. 13Dhakalow-cost sensorsDhaka Division, Bangladesh
    78.95.3×
  14. 14DelhiDelhi, India
    78.15.2×
  15. 15MangaluruKarnataka, India
    76.45.1×
  16. 16BahadurgarhHaryana, India
    75.35.0×
  17. 17Faisalabadlow-cost sensorsPunjab, Pakistan
    72.44.8×
  18. 18ArāriaBihar, India
    70.94.7×
  19. 19GummidipundiTamil Nadu, India
    69.64.6×
  20. 20GhāziābādUttar Pradesh, India
    69.34.6×
  21. 21NajafgarhDelhi, India
    69.14.6×
  22. 22DhāruheraHaryana, India
    68.04.5×
  23. 23UnderaGujarat, India
    67.84.5×
  24. 24AngulOdisha, India
    67.64.5×
  25. 24UttaraditUttaradit, Thailand
    67.64.5×
  26. 26HāpurUttar Pradesh, India
    66.94.5×
  27. 27AgartalaTripura, India
    66.24.4×
  28. 28BarbilOdisha, India
    65.34.4×
  29. 29Lahorelow-cost sensorsPunjab, Pakistan
    65.24.3×
  30. 30BaddiHimachal Pradesh, India
    64.44.3×
  31. 31JodaOdisha, India
    63.84.3×
  32. 32LucknowUttar Pradesh, India
    63.04.2×
  33. 33GwaliorMadhya Pradesh, India
    62.94.2×
  34. 34Sialkotlow-cost sensorsPunjab, Pakistan
    62.44.2×
  35. 35Jammulow-cost sensorsJammu and Kashmir, India
    61.34.1×
  36. 36MahādMaharashtra, India
    61.24.1×
  37. 37BhiwadiRajasthan, India
    60.44.0×
  38. 38Greater NoidaUttar Pradesh, India
    60.34.0×
  39. 39Burundaylow-cost sensorsAlmaty Region, Kazakhstan
    58.43.9×
  40. 39ŁaskŁódź Voivodeship, Poland
    58.43.9×
  41. 41SirsaHaryana, India
    55.33.7×
  42. 42BāghpatUttar Pradesh, India
    54.63.6×
  43. 43JīndHaryana, India
    53.53.6×
  44. 44KalyānMaharashtra, India
    53.33.6×
  45. 45ChittorgarhRajasthan, India
    53.13.5×
  46. 46Kampalalow-cost sensorsCentral Region, Uganda
    53.03.5×
  47. 47MuzaffarnagarUttar Pradesh, India
    52.73.5×
  48. 48PuneMaharashtra, India
    52.53.5×
  49. 49RourkelaOdisha, India
    51.43.4×
  50. 49Pimpri-ChinchwadMaharashtra, India
    51.43.4×
  51. 51Multanlow-cost sensorsPunjab, Pakistan
    51.33.4×
  52. 52SāngliMaharashtra, India
    51.03.4×
  53. 53ThānesarHaryana, India
    50.93.4×
  54. 54Vientianelow-cost sensorsVientiane Prefecture, Laos
    50.83.4×
  55. 55PanvelMaharashtra, India
    49.73.3×
  56. 56BegusaraiBihar, India
    48.93.3×
  57. 57Gujranwalalow-cost sensorsPunjab, Pakistan
    48.03.2×
  58. 58NagpurMaharashtra, India
    47.53.2×
  59. 59DhuleMaharashtra, India
    46.33.1×
  60. 60Chrang Chamreh Muoylow-cost sensorsPhnom Penh, Cambodia
    45.83.1×
  61. 61MeerutUttar Pradesh, India
    45.73.0×
  62. 62Santa Anita - Los FicusLima region, Peru
    45.53.0×
  63. 63Otegen Batyralow-cost sensorsAlmaty Region, Kazakhstan
    45.33.0×
  64. 64IndoreMadhya Pradesh, India
    45.23.0×
  65. 65DhaulpurRajasthan, India
    44.83.0×
  66. 66Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    44.73.0×
  67. 67Târgu Mureşlow-cost sensorsMureș County, Romania
    44.43.0×
  68. 68ChandigarhChandigarh, India
    44.22.9×
  69. 69VapiGujarat, India
    44.02.9×
  70. 70Bahawalpurlow-cost sensorsPunjab, Pakistan
    43.42.9×
  71. 71JalgaonMaharashtra, India
    42.82.9×
  72. 72PanchkulaHaryana, India
    42.72.8×
  73. 73BadlapurMaharashtra, India
    42.42.8×
  74. 74VijayawadaAndhra Pradesh, India
    42.32.8×
  75. 75AkolaMaharashtra, India
    42.02.8×
  76. 76GayaBihar, India
    41.92.8×
  77. 77AmbālaHaryana, India
    41.82.8×
  78. 78SaharsaBihar, India
    41.62.8×
  79. 78JhālāwārRajasthan, India
    41.62.8×
  80. 80PatnaBihar, India
    41.52.8×
  81. 81KaithalHaryana, India
    41.32.8×
  82. 82OtwockMazovia, Poland
    41.22.7×
  83. 83NandedMaharashtra, India
    41.12.7×
  84. 84ChikmagalūrKarnataka, India
    40.72.7×
  85. 85AjmerRajasthan, India
    40.42.7×
  86. 86KarnālHaryana, India
    40.32.7×
  87. 87ChāndaMaharashtra, India
    40.12.7×
  88. 88KanpurUttar Pradesh, India
    40.02.7×
  89. 89BoisarMaharashtra, India
    39.82.7×
  90. 90AurangabadMaharashtra, India
    39.52.6×
  91. 91Debrecenlow-cost sensorsHajdú-Bihar, Hungary
    39.42.6×
  92. 92AnkleshwarGujarat, India
    39.32.6×
  93. 93KadapaAndhra Pradesh, India
    39.12.6×
  94. 94AhmedabadGujarat, India
    39.02.6×
  95. 95KolhāpurMaharashtra, India
    38.72.6×
  96. 96JaipurRajasthan, India
    38.12.5×
  97. 97BhiwandiMaharashtra, India
    37.82.5×
  98. 98NiskoSubcarpathia, Poland
    37.42.5×
  99. 98MorādābādUttar Pradesh, India
    37.42.5×
  100. 100SholapurMaharashtra, India
    37.02.5×
  101. 100AnantapurAndhra Pradesh, India
    37.02.5×
  102. 100San Francisco De BorjaLima region, Peru
    37.02.5×
  103. 103KielceŚwiętokrzyskie, Poland
    36.82.5×
  104. 103LaturMaharashtra, India
    36.82.5×
  105. 105KotaRajasthan, India
    36.72.4×
  106. 105Portolow-cost sensorsPorto, Portugal
    36.72.4×
  107. 107BaripādaOdisha, India
    36.62.4×
  108. 107Kathmandulow-cost sensorsBagmati Province, Nepal
    36.62.4×
  109. 109NashikMaharashtra, India
    36.52.4×
  110. 109PljevljaPljevlja, Montenegro
    36.52.4×
  111. 111BhāgalpurBihar, India
    36.42.4×
  112. 112JinchengFukien, Taiwan
    35.92.4×
  113. 113BuxarBihar, India
    35.42.4×
  114. 114DurgapurWest Bengal, India
    35.12.3×
  115. 115ĀsansolWest Bengal, India
    35.02.3×
  116. 116Rawalpindilow-cost sensorsPunjab, Pakistan
    34.92.3×
  117. 117KikindaVojvodina, Serbia
    34.62.3×
  118. 117CallaoCallao, Peru
    34.62.3×
  119. 119ŻywiecSilesia, Poland
    34.52.3×
  120. 120DębicaSubcarpathia, Poland
    34.02.3×
  121. 121BhilwaraRajasthan, India
    33.92.3×
  122. 122RaipurChhattisgarh, India
    33.82.3×
  123. 122ChāpraBihar, India
    33.82.3×
  124. 124SuratGujarat, India
    33.62.2×
  125. 125BengaluruKarnataka, India
    33.52.2×
  126. 126Khlong LuangPathum Thani, Thailand
    33.32.2×
  127. 127RānīganjWest Bengal, India
    33.12.2×
  128. 127KeonjhargarhOdisha, India
    33.12.2×
  129. 127AgraUttar Pradesh, India
    33.12.2×
  130. 130TarnówLesser Poland, Poland
    33.02.2×
  131. 131SuceavaSuceava, Romania
    32.92.2×
  132. 132DejCluj County, Romania
    32.82.2×
  133. 133GandhinagarGujarat, India
    32.52.2×
  134. 133BikanerRajasthan, India
    32.52.2×
  135. 133AmravatiMaharashtra, India
    32.52.2×
  136. 136KaliszGreater Poland, Poland
    32.42.2×
  137. 137ErlunTaiwan, Taiwan
    32.12.1×
  138. 138AizawlMizoram, India
    31.92.1×
  139. 139SerilingampalleTelangana, India
    31.82.1×
  140. 140Karachilow-cost sensorsSindh, Pakistan
    31.72.1×
  141. 141ChittoorAndhra Pradesh, India
    31.62.1×
  142. 141San Francisco TlalcilalcalpanMéxico, Mexico
    31.62.1×
  143. 143NišCentral Serbia, Serbia
    31.52.1×
  144. 143TirupatiAndhra Pradesh, India
    31.52.1×
  145. 143SilcharAssam, India
    31.52.1×
  146. 143XonacatlánMéxico, Mexico
    31.52.1×
  147. 147ImizuToyama, Japan
    31.42.1×
  148. 148San Salvador TizatlalliMéxico, Mexico
    31.32.1×
  149. 149ThāneMaharashtra, India
    31.22.1×
  150. 150Pasadenalow-cost sensorsCalifornia, United States
    30.92.1×
  151. 151JarosławSubcarpathia, Poland
    30.82.1×
  152. 151Villa Poeta José Gálvez BarrenecheaLima region, Peru
    30.82.1×
  153. 151CalexicoCalifornia, United States
    30.82.1×
  154. 154ErlinTaiwan, Taiwan
    30.72.0×
  155. 155ToyamaToyama, Japan
    30.52.0×
  156. 156PrayagrajUttar Pradesh, India
    30.42.0×
  157. 156Victoria de DurangoDurango, Mexico
    30.42.0×
  158. 158BelgradeCentral Serbia, Serbia
    30.32.0×
  159. 159Târgu JiuGorj County, Romania
    30.22.0×
  160. 159BārānRajasthan, India
    30.22.0×
  161. 159LučenecBanská Bystrica Region, Slovakia
    30.22.0×
  162. 162KrakówLesser Poland, Poland
    30.12.0×
  163. 163Sai MaiBangkok, Thailand
    29.92.0×
  164. 164MumbaiMaharashtra, India
    29.82.0×
  165. 164BhilaiChhattisgarh, India
    29.82.0×
  166. 164Czechowice-DziedziceSilesia, Poland
    29.82.0×
  167. 167BiałystokPodlasie, Poland
    29.62.0×
  168. 167JhunjhunūnRajasthan, India
    29.62.0×
  169. 169AugustówPodlasie, Poland
    29.52.0×
  170. 170Bijelo PoljeBijelo Polje, Montenegro
    29.42.0×
  171. 171MielecSubcarpathia, Poland
    29.32.0×
  172. 171YadgirKarnataka, India
    29.32.0×
  173. 171RājgīrBihar, India
    29.32.0×
  174. 171HyderabadTelangana, India
    29.32.0×
  175. 175BhopalMadhya Pradesh, India
    29.21.9×
  176. 176BhayandarMaharashtra, India
    29.11.9×
  177. 176BharatpurRajasthan, India
    29.11.9×
  178. 178SuwałkiPodlasie, Poland
    28.91.9×
  179. 179PiteştiArges, Romania
    28.71.9×
  180. 179BufteaIlfov, Romania
    28.71.9×
  181. 179BānswāraRajasthan, India
    28.71.9×
  182. 182KolkataWest Bengal, India
    28.61.9×
  183. 183ŽilinaŽilina Region, Slovakia
    28.51.9×
  184. 184StarachowiceŚwiętokrzyskie, Poland
    28.41.9×
  185. 185VentspilsVentspils, Latvia
    28.21.9×
  186. 185ZamośćLublin, Poland
    28.21.9×
  187. 187WłocławekKujawsko-Pomorskie, Poland
    28.11.9×
  188. 188Ban Khlong PrawetBangkok, Thailand
    28.01.9×
  189. 189SīkarRajasthan, India
    27.91.9×
  190. 189PtujUrban Municipality of Ptuj, Slovenia
    27.91.9×
  191. 191ŁódźŁódź Voivodeship, Poland
    27.81.9×
  192. 192Islamabadlow-cost sensorsIslamabad, Pakistan
    27.61.8×
  193. 192BūndiRajasthan, India
    27.61.8×
  194. 192TrenčínTrenčín Region, Slovakia
    27.61.8×
  195. 192RadomskoŁódź Voivodeship, Poland
    27.61.8×
  196. 196HelsinkiUusimaa, Finland
    27.51.8×
  197. 196Sri GanganagarRajasthan, India
    27.51.8×
  198. 196Chiayi CityTaiwan, Taiwan
    27.51.8×
  199. 199RzeszówSubcarpathia, Poland
    27.41.8×
  200. 199Bang Pakonglow-cost sensorsChachoengsao, Thailand
    27.41.8×

Top 200 of 2,321 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, March 25, 2026, smogrank.com/history/2026-03-25 (accessed 2 Oct 2026).

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