🐾 Name My Pet

Most popular Labradoodle names

The names real owners gave 3,034 Labradoodles in public license and shelter records.

Top 100 names

  1. Teddy42
  2. Lucy36
  3. Charlie35
  4. Luna35
  5. Cooper32
  6. Bailey27
  7. Rosie26
  8. Ruby26
  9. Coco22
  10. Milo21
  11. Oliver20
  12. Penny18
  13. Frankie18
  14. Max17
  15. Hudson17
  16. Stella16
  17. Maggie16
  18. Ollie15
  19. Lola15
  20. Pepper15
  21. Bowie14
  22. Daisy14
  23. Moose13
  24. Buddy13
  25. Winnie13
  26. Roxy12
  27. Scout12
  28. Gus12
  29. Bella12
  30. Alfie12
  31. Murphy11
  32. Archie11
  33. Riley11
  34. Leo11
  35. Rocky11
  36. Millie11
  37. Louie11
  38. Sunny11
  39. Bear11
  40. Loki10
  41. Winston10
  42. Sophie10
  43. Wally10
  44. Sadie10
  45. Ella10
  46. Willow10
  47. Finn10
  48. Jack10
  49. Toby10
  50. Nala10
  51. Henry9
  52. Poppy9
  53. Chester9
  54. Ginger9
  55. Gracie9
  56. Duke9
  57. Otis9
  58. Ace8
  59. Maple8
  60. Phoebe8
  61. Arlo8
  62. Kona8
  63. Ellie8
  64. Mochi8
  65. Lily8
  66. Harley8
  67. Ziggy8
  68. Benny7
  69. Penelope7
  70. Prince7
  71. Beau7
  72. Kobe7
  73. Bruno7
  74. Jackson7
  75. Brody7
  76. Lulu7
  77. Rex7
  78. Rufus7
  79. Zoe7
  80. Luca7
  81. Hugo7
  82. Zoey6
  83. Sam6
  84. Buster6
  85. Ozzie6
  86. Theo6
  87. Rusty6
  88. Remy6
  89. Blue6
  90. Gigi6
  91. Hunter6
  92. Olive6
  93. Franklin6
  94. Seamus6
  95. Waffles6
  96. Birdie6
  97. Basil6
  98. Sandy6
  99. Tucker6
  100. Sammy6
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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.