Most popular Portuguese Water Dog names

The names real owners gave 482 Portuguese Water Dogs in public license and shelter records.

Top 100 names

  1. Pepper5
  2. Otis4
  3. Lucy4
  4. Milo3
  5. Arlo3
  6. Coco3
  7. Baci3
  8. Ellie3
  9. Luna3
  10. Lola3
  11. Bruno3
  12. Roxy3
  13. Frankie3
  14. Maui3
  15. Leo3
  16. Hugo3
  17. Zoe3
  18. Theo3
  19. Barrett2
  20. Hudson2
  21. Monkey2
  22. Toby2
  23. Skipper2
  24. Homer2
  25. Mac2
  26. Daisy2
  27. Brooklyn2
  28. Eva2
  29. Ivy2
  30. Piper2
  31. Teddy2
  32. Cisco2
  33. Oliver2
  34. Moby2
  35. Scout2
  36. Phoebe2
  37. Miley2
  38. Oscar2
  39. Buddy2
  40. Chewie2
  41. Emma2
  42. Amos2
  43. Caipirinha2
  44. Ella2
  45. Izzy2
  46. Clara2
  47. Blue2
  48. Finn2
  49. Isabella2
  50. Lila2
  51. Rocky2
  52. Goose2
  53. Lu2
  54. Koda2
  55. Ollie2
  56. Murphy2
  57. Cb2
  58. Ruby2
  59. Baker2
  60. Luka2
  61. Panda2
  62. Dakota2
  63. Louis1
  64. Huckleberry1
  65. Tinsley1
  66. Ziggy1
  67. Aia1
  68. Jessie1
  69. Sherman1
  70. Amber1
  71. Ponyo1
  72. Banji1
  73. Figo1
  74. Bella1
  75. Cosmo1
  76. Poseida1
  77. Jewel1
  78. Kala1
  79. Ondo1
  80. Xiexie1
  81. Pele1
  82. Lilo1
  83. Maja1
  84. Joaquin1
  85. Leoa1
  86. Jem1
  87. Cabo1
  88. Chester1
  89. Noche1
  90. Millie1
  91. Miles1
  92. Obie1
  93. Pongo1
  94. Lula1
  95. Farrah1
  96. Watts1
  97. Birdie1
  98. Nora1
  99. Vesper1
  100. Bowie1
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Counts come from public open data: NYC Dog Licensing Dataset (NYC Open Data); Seattle Pet Licenses (public domain); Dogs of Cambridge (ODC PDDL); Licensed Dog and Cat Names, City of Toronto (Open Government Licence – Toronto); Hundenamen, Stadt Zürich (Open Data Zürich); Dog Registrations, City of Adelaide (CC BY 3.0 AU); Burnside Dog Registrations (CC BY 3.0 AU); City of Prospect Dog Registrations (CC BY 3.0 AU); Pet Licenses, City of Richmond; Animal Shelter Intake and Outcome, County of Sonoma; Austin Animal Center Outcomes (public domain). License records count registered pets; shelter records count animals that passed through a shelter (some names are given by staff). Pets that appear in several years of one dataset are counted once. Names are counted as written, so spelling variants are separate.