Most popular Australian Silky Terrier names

The names real owners gave 102 Australian Silky Terriers in public license and shelter records.

Top 91 names

  1. Toby3
  2. Charlie2
  3. Coco2
  4. Lucky2
  5. Chewie2
  6. Lilly2
  7. Scruffy2
  8. Slater2
  9. Benji2
  10. Sam2
  11. Sammy1
  12. Fern1
  13. Hedwig1
  14. Dakota1
  15. Foster1
  16. Leo1
  17. Izzy1
  18. Max1
  19. Keiler1
  20. Tiberius1
  21. Jackson1
  22. Tucker1
  23. Warlock1
  24. Geronimo1
  25. Tonto1
  26. Tiffin1
  27. Shadow1
  28. Mukha1
  29. Henry1
  30. Darby1
  31. Penny1
  32. Sydney1
  33. Banjo1
  34. Pierko1
  35. Dashel1
  36. Samson1
  37. Rosco1
  38. Odin1
  39. Iggy1
  40. Cooper1
  41. Marty1
  42. Hunter1
  43. Jackie1
  44. Theo1
  45. Betsy1
  46. Sebastian1
  47. Bentley1
  48. Testing1
  49. Roxy1
  50. Franklin1
  51. Flash1
  52. Georgie1
  53. Ziggy1
  54. Samantha1
  55. Bailey1
  56. Chapulin1
  57. Bella1
  58. Hazel1
  59. Monday1
  60. Toki1
  61. Huey1
  62. Dolly1
  63. Zac1
  64. Roly1
  65. Oscar1
  66. Sheba1
  67. Jack1
  68. Rosie1
  69. Ruby1
  70. Alfie1
  71. Annie1
  72. Baci1
  73. Boo Radley1
  74. Bronson1
  75. Buffy1
  76. Cheeky1
  77. Cleo1
  78. Elmo1
  79. Mathilda1
  80. Millie1
  81. Milo1
  82. Minnie1
  83. Moses1
  84. Nellie1
  85. Nina1
  86. Peppi1
  87. Ricky1
  88. Rusty1
  89. Tayla1
  90. Toffee1
  91. Watson1
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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.