Most popular Vizsla, Smooth Haired names

The names real owners gave 105 Vizsla, Smooth Haireds in public license and shelter records.

Top 99 names

  1. Ruby3
  2. Archer3
  3. Bella2
  4. Winnie2
  5. Ellie1
  6. Evenstar1
  7. Juniper1
  8. Whiskey1
  9. Mali Rose1
  10. Penny1
  11. Pepper1
  12. Leela1
  13. Mocha1
  14. Cali1
  15. Luna1
  16. Xena1
  17. Ginger1
  18. Paloma1
  19. Norma1
  20. Lila1
  21. Lulu1
  22. Kona1
  23. Ivy Rae1
  24. Scarlett1
  25. Hattie Naess1
  26. Etta1
  27. Adina1
  28. Zara1
  29. Nutmeg1
  30. Lilah1
  31. Willow1
  32. Sadie1
  33. Sky1
  34. Diamond1
  35. Lyric1
  36. Jinx1
  37. Franny1
  38. Paprika1
  39. Molly1
  40. Prika1
  41. Lucie1
  42. Juiniper1
  43. Lola1
  44. Pippi1
  45. Flicka1
  46. Daisy1
  47. Meadow1
  48. Lucy1
  49. Maggie1
  50. Chloe Goulet1
  51. Mazey1
  52. Dasha1
  53. Paco1
  54. Knuckles1
  55. Amit1
  56. Argos1
  57. Sven1
  58. Samwise Kellenberg1
  59. Eddy1
  60. Winston1
  61. Tag1
  62. Mandu1
  63. Dixon1
  64. Deckard1
  65. Pablo1
  66. Dembe1
  67. Schutzi1
  68. Gilmore1
  69. Chip1
  70. Merlin1
  71. Gus1
  72. Mo1
  73. Oliver1
  74. Kai1
  75. Simba1
  76. Groot1
  77. Kenai1
  78. Louis1
  79. Copper1
  80. Cusco1
  81. Taz1
  82. Banksy1
  83. Scrappy1
  84. Coda1
  85. Finley1
  86. Rory1
  87. Finchley1
  88. Blue Baloo1
  89. Luke1
  90. Rowan Wimberly1
  91. Manu1
  92. Kuma1
  93. Ari1
  94. Biko1
  95. Renly1
  96. Finn1
  97. Rezso Vidam1
  98. Angus1
  99. Rylie1
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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.