🐾 Name My Pet

Most popular Terrier, West Highland White names

The names real owners gave 85 Terrier, West Highland Whites in public license and shelter records.

Top 83 names

  1. Rocky2
  2. Finlay2
  3. Poppy1
  4. Maggie1
  5. Lexie1
  6. Hannah1
  7. Bailey1
  8. Georgie1
  9. Yrsa1
  10. Gracie1
  11. Bea1
  12. Hattie1
  13. Powder1
  14. Puff1
  15. Pearl1
  16. Pencil1
  17. Raven1
  18. Daisy Mae1
  19. Mia1
  20. Kennedy1
  21. Lucy1
  22. Dr Scott1
  23. Astra1
  24. Rhino1
  25. Tinka1
  26. Maggee1
  27. Agnes1
  28. Emmaline1
  29. Bluebird1
  30. Winn Dixie1
  31. Frenchie1
  32. Makanujo1
  33. Maddie1
  34. Fiona1
  35. Marci1
  36. Oonagh1
  37. Abbie1
  38. Sophie1
  39. Charlotte1
  40. Birdie1
  41. Luna1
  42. Robin1
  43. Sonar1
  44. Radar1
  45. Renegade1
  46. Kojiro1
  47. Winston1
  48. Charlie1
  49. Bing1
  50. Lalo1
  51. Kevin William O'Ruffigan1
  52. Stuart1
  53. Watson1
  54. Brodie1
  55. Dickie1
  56. Hamilton1
  57. Einstein1
  58. Sky1
  59. Blue1
  60. Hugo1
  61. Finn1
  62. Milo1
  63. Duncan1
  64. Wesley1
  65. Aster1
  66. Bodhi1
  67. Armando1
  68. Barclay1
  69. Barnacles1
  70. Emmet1
  71. Alfie1
  72. Duffy1
  73. Bo1
  74. Coconut1
  75. Munchkin1
  76. Harry1
  77. Ellis1
  78. Beauregard1
  79. Marley1
  80. Scrabble1
  81. Finnegan1
  82. Merlin1
  83. Ewan1
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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.