Most popular Golden Retr names

The names real owners gave 104 Golden Retrs in public license and shelter records.

Top 93 names

  1. Molly3
  2. Charlie2
  3. Milo2
  4. Lily2
  5. Duke2
  6. Zoey2
  7. Lucy2
  8. Gus2
  9. Luke2
  10. Boomer2
  11. Sandy1
  12. Forrest1
  13. Ranger1
  14. Goldie1
  15. Kaya1
  16. Ellie Mae1
  17. Beckett1
  18. Augie1
  19. Bear1
  20. Polar Bear1
  21. Dude1
  22. Greg1
  23. Burt1
  24. Leilani Phoenix1
  25. Willy1
  26. Sammy1
  27. Sugar1
  28. Dino1
  29. Mya1
  30. Georgia1
  31. Baby Joe1
  32. Mishca1
  33. Kora1
  34. Joe1
  35. Angie1
  36. Bentley1
  37. Heineken1
  38. Zeus1
  39. Blondie1
  40. Teddy1
  41. Nova1
  42. Blue1
  43. Benton1
  44. Sasha1
  45. Lilac1
  46. Paul1
  47. Cabo1
  48. Rueger1
  49. Kenya1
  50. Katniss1
  51. Grenville1
  52. Bob1
  53. Pancho1
  54. Zuba1
  55. Louie1
  56. Spot1
  57. Honey1
  58. Bacon1
  59. Penny1
  60. Pickle1
  61. Harper1
  62. Rose1
  63. Reyne1
  64. Ringo1
  65. Jojo1
  66. Scarlett1
  67. Rocko1
  68. Daisey1
  69. Buddy1
  70. Sketch1
  71. Bodhi1
  72. Buster1
  73. Teal1
  74. Chet1
  75. Nova Sandra1
  76. Donner1
  77. Rooster1
  78. Stitch1
  79. Lady1
  80. Willie1
  81. Pearl1
  82. Barley1
  83. Otter1
  84. Bingo1
  85. Rusty1
  86. Ozzy1
  87. Bella1
  88. Dusty1
  89. Ruthie1
  90. Kemba1
  91. Jerry1
  92. Abel1
  93. Copper1
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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.