🐾 Name My Pet

Most popular Smooth Fox Terrier names

The names real owners gave 101 Smooth Fox Terriers in public license and shelter records.

Top 96 names

  1. Murphy3
  2. Panda2
  3. Captain2
  4. Teddy2
  5. Zeb1
  6. Webster1
  7. Indie1
  8. Riley1
  9. Nathan1
  10. Benjamin1
  11. Bernadette1
  12. Bon1
  13. Alexa1
  14. Siri1
  15. Loki1
  16. Woody1
  17. Dixie1
  18. Boomer1
  19. Maggie1
  20. Izzy1
  21. Rea1
  22. Beaux1
  23. Maxwel1
  24. Ella1
  25. Jax1
  26. Rocky1
  27. Nothing1
  28. Milo1
  29. Spike1
  30. George1
  31. Aiko1
  32. Ramsey1
  33. Augie1
  34. Louie1
  35. Isadore1
  36. Roman1
  37. Parker1
  38. White1
  39. Nietzsche1
  40. Reina1
  41. Baby Cafege1
  42. Alfie1
  43. Petey1
  44. Tashi1
  45. Emily1
  46. Buster1
  47. Lucky1
  48. Archie1
  49. Bella1
  50. Swizzle1
  51. Lady1
  52. Stud1
  53. Cassie1
  54. Manchas1
  55. Tuffy1
  56. Vladimir1
  57. Pickles1
  58. Kip1
  59. Ranger1
  60. Spot1
  61. Gilda1
  62. Chip1
  63. Sunny1
  64. Tobias1
  65. Cliffie1
  66. Fig1
  67. Elli1
  68. Zoey1
  69. Dante1
  70. Mandy1
  71. Bailey1
  72. Abby1
  73. Fialla1
  74. Nala1
  75. Sawyer1
  76. Nola1
  77. Townes1
  78. Little Ann1
  79. Casey1
  80. Stanley1
  81. Tiki1
  82. Chico1
  83. Lizabeth1
  84. Little Bit1
  85. Oliver1
  86. Ana1
  87. Prince1
  88. Waffles1
  89. Luna Marshall1
  90. Lucius1
  91. Fanta1
  92. Sugar1
  93. Geo1
  94. Eggroll1
  95. Baby1
  96. Smore1
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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.