Most popular Collie, Border names

The names real owners gave 310 Collie, Borders in public license and shelter records.

Top 100 names

  1. Maggie6
  2. Lucy6
  3. Ruby5
  4. Hudson5
  5. Ziggy4
  6. Izzy3
  7. Lola3
  8. Panda3
  9. Finn3
  10. Luna3
  11. Happy2
  12. Tobi2
  13. Bandit2
  14. Chloe2
  15. Stella2
  16. Leo2
  17. Callie2
  18. Nina2
  19. Mookie2
  20. Jack2
  21. Daisy2
  22. Harry2
  23. Bear2
  24. Otto2
  25. Aurora2
  26. Roxy2
  27. Charley2
  28. Brady2
  29. Prince2
  30. Charlie2
  31. Jake2
  32. Rascal2
  33. Scout2
  34. Tessa2
  35. Boots2
  36. Kuma2
  37. Blue1
  38. Mac1
  39. Spike1
  40. Rusty1
  41. Simba1
  42. Lyla1
  43. Cody1
  44. Gem1
  45. Soot1
  46. Peaches1
  47. Hampton1
  48. Churro1
  49. Boojum1
  50. Marea1
  51. Nica1
  52. Fletcher1
  53. Zoe1
  54. Layla1
  55. Dallas1
  56. Suzie1
  57. Kiley1
  58. Shelby1
  59. Lou1
  60. Cary1
  61. Mickey1
  62. Captain1
  63. Ray1
  64. Bridie1
  65. Ciobair1
  66. Sophie1
  67. Ponkey1
  68. Jase1
  69. Shane1
  70. Pushkin1
  71. Louie1
  72. Talisker1
  73. Rocien1
  74. Lux1
  75. Sweety1
  76. Rio1
  77. Shasta1
  78. Summer1
  79. Pika1
  80. Samsara1
  81. Abigail1
  82. Logan1
  83. Gogo1
  84. Wolfman1
  85. Moby1
  86. Fred1
  87. Boson1
  88. Hazel1
  89. Henri1
  90. Sawyer1
  91. Becka1
  92. Zoey1
  93. Ellie1
  94. Snoopy1
  95. Barnaby1
  96. Jenny1
  97. Piper1
  98. Georgia1
  99. Nutella1
  100. Patsey1
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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.