Most popular Border Terrier names

The names real owners gave 738 Border Terriers in public license and shelter records.

Top 100 names

  1. Charlie13
  2. Oscar9
  3. Pepper7
  4. Teddy7
  5. Archie6
  6. Max6
  7. Lucy5
  8. Penny5
  9. Winston5
  10. Buddy5
  11. Toby5
  12. Benji5
  13. Rocky4
  14. Ruby4
  15. Annie4
  16. Henry4
  17. Ollie4
  18. Emma4
  19. Chance3
  20. Finn3
  21. Rosie3
  22. Winnie3
  23. Monty3
  24. Bella3
  25. Bandit3
  26. Biscuit3
  27. Hunter3
  28. Bear3
  29. Maggie3
  30. Rose3
  31. Buster3
  32. Oreo3
  33. Gus3
  34. Otto3
  35. Bowie3
  36. Smokey3
  37. Izzy3
  38. Sadie3
  39. Daisy3
  40. Brownie3
  41. Scout3
  42. Luke2
  43. Chuck2
  44. Junior2
  45. Roscoe2
  46. Frida2
  47. Pearl2
  48. Roary2
  49. Casey2
  50. Jackson2
  51. Piper2
  52. Maya2
  53. Alex2
  54. Maisie2
  55. Tony2
  56. Louie2
  57. Delilah2
  58. Pickle2
  59. Gizmo2
  60. Bo2
  61. Duncan2
  62. Roux2
  63. Holly2
  64. Walter2
  65. Ace2
  66. Remi2
  67. Remy2
  68. Leo2
  69. Batman2
  70. Shea2
  71. Kermit2
  72. Sherman2
  73. Hugo2
  74. Razzle2
  75. Scooby2
  76. Calvin2
  77. Humphrey2
  78. Phoebe2
  79. Bertie2
  80. Baxter2
  81. Oliver2
  82. Otis2
  83. Sophie2
  84. Nino2
  85. Major2
  86. Muddy2
  87. Kiwi2
  88. Beau2
  89. George2
  90. Ella2
  91. Cooper2
  92. Jerry2
  93. Bailey2
  94. Lila2
  95. Scruffy2
  96. Olive2
  97. Dexter2
  98. Arthur2
  99. Wally2
  100. Brexit2
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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.