🐾 Name My Pet

Most popular Collie names

The names real owners gave 673 Collies in public license and shelter records.

Top 100 names

  1. Max13
  2. Charlie8
  3. Luna8
  4. Scout6
  5. Ellie5
  6. Buddy5
  7. Arthur4
  8. Lady4
  9. Lucy4
  10. Cooper4
  11. Chloe4
  12. Rosie4
  13. Sugar4
  14. Bailey4
  15. Izzy3
  16. Molly3
  17. Lulu3
  18. Parker3
  19. Chewbacca3
  20. Emma3
  21. Bandit3
  22. Lassie3
  23. Sage3
  24. Rocky3
  25. Snoopy3
  26. Kona3
  27. Bella3
  28. River3
  29. Hudson3
  30. Harley3
  31. Layla2
  32. Chance2
  33. Riley2
  34. Samson2
  35. Robert2
  36. Eleanor2
  37. Optimus2
  38. Angel2
  39. Shelby2
  40. Sophia2
  41. Peanut2
  42. Lola2
  43. Hazel2
  44. Josie2
  45. Charlotte2
  46. Dj2
  47. Miso2
  48. Jack2
  49. Pippa2
  50. Oliver2
  51. Louie2
  52. Billie2
  53. Roxy2
  54. Jackson2
  55. Shadow2
  56. Henderson2
  57. Piper2
  58. Petey2
  59. Winnie2
  60. Benji2
  61. Tara2
  62. Sally2
  63. Lucky2
  64. Leo2
  65. Zeus2
  66. Penelope2
  67. Ginger2
  68. Anya2
  69. Jenny2
  70. Willow2
  71. Cora2
  72. Apollo2
  73. Cookie2
  74. Toby2
  75. Lacey2
  76. Paisley2
  77. Foxy2
  78. Mollie2
  79. Penny2
  80. Finn2
  81. Pete2
  82. Red2
  83. Keanu2
  84. Romy2
  85. Fulton2
  86. Belle2
  87. Noah2
  88. Ida2
  89. Thunder2
  90. Kali2
  91. Coco2
  92. Tarra2
  93. Rory2
  94. Kaia2
  95. Zola2
  96. Susy2
  97. Boomer1
  98. June1
  99. Finley1
  100. Gunter1
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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.