🐾 Name My Pet

Most popular Retriever, Golden names

The names real owners gave 1,270 Retriever, Goldens in public license and shelter records.

Top 100 names

  1. Daisy17
  2. Luna14
  3. Penny11
  4. Murphy11
  5. Ruby10
  6. Charlie10
  7. Maple9
  8. Cooper9
  9. Maggie8
  10. Poppy8
  11. Sunny8
  12. Bailey8
  13. Lucy8
  14. Bella7
  15. Sadie7
  16. Finn7
  17. Cedar7
  18. Teddy7
  19. Gus7
  20. Ellie6
  21. Zoe6
  22. Winnie6
  23. Goldie6
  24. Emma6
  25. Riley6
  26. Bodhi6
  27. Ollie6
  28. Tucker6
  29. Ranger5
  30. Olive5
  31. Blue5
  32. Louie5
  33. Alfie5
  34. Hugo5
  35. Toby5
  36. Baker5
  37. Lily4
  38. Molly4
  39. Mia4
  40. Clover4
  41. Lilly4
  42. Kona4
  43. Rosie4
  44. Rio4
  45. Frankie4
  46. Bowie4
  47. Gracie4
  48. Phoebe4
  49. Coco4
  50. Scout4
  51. Ripley4
  52. Rainier4
  53. Jake4
  54. Guster4
  55. George4
  56. Milo4
  57. Leo4
  58. Jasper4
  59. Ziggy4
  60. Sammy4
  61. Nora3
  62. Roxy3
  63. Zelda3
  64. Skye3
  65. Ginger3
  66. Remy3
  67. Hannah3
  68. Lola3
  69. Lady3
  70. Grace3
  71. Maisie3
  72. Willow3
  73. Hazel3
  74. Abby3
  75. Belle3
  76. Cali3
  77. Sugar3
  78. June3
  79. Summer3
  80. Pippin3
  81. Mochi3
  82. Koa3
  83. Finley3
  84. Harley3
  85. Jackson3
  86. Jack3
  87. Max3
  88. Walter3
  89. Rocky3
  90. Indiana3
  91. Buddy3
  92. Apollo3
  93. Beau3
  94. Moose3
  95. Archie3
  96. Bruce3
  97. Casper3
  98. Edgar3
  99. Jax3
  100. Bear3
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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.