🐾 Name My Pet

Most popular Breed names

The names real owners gave 1,617 Breeds in public license and shelter records.

Top 100 names

  1. Luna20
  2. Pepper14
  3. Lucy13
  4. Charlie11
  5. Bella10
  6. Olive10
  7. Cooper10
  8. Maggie9
  9. Lola9
  10. Rosie9
  11. Penny8
  12. Millie8
  13. Milo7
  14. Louie7
  15. Tucker7
  16. Emma7
  17. Moose7
  18. Roxy6
  19. Oliver6
  20. Jake6
  21. Phoebe6
  22. Ziggy6
  23. Winston6
  24. Coco6
  25. Mia6
  26. Shadow6
  27. Scout6
  28. Murphy5
  29. Buddy5
  30. Archie5
  31. Winnie5
  32. Sugar5
  33. Ollie5
  34. Gracie5
  35. Theo5
  36. Molly5
  37. Otis5
  38. Ellie5
  39. Jasper5
  40. Finnegan5
  41. Sawyer5
  42. Dexter5
  43. Toby5
  44. Sadie5
  45. Jack5
  46. Walter5
  47. Maximus4
  48. Oscar4
  49. Cody4
  50. Lenny4
  51. Nola4
  52. Lou4
  53. Chloe4
  54. Bo4
  55. Teddy4
  56. Athena4
  57. Jackson4
  58. Remy4
  59. Zoey4
  60. Baxter4
  61. Willow4
  62. Nova4
  63. Violet4
  64. Riley4
  65. Daisy4
  66. Sandy4
  67. Maya4
  68. Bear4
  69. Juno4
  70. Bailey4
  71. Lulu4
  72. Cora4
  73. Frankie3
  74. Rocco3
  75. Max3
  76. Nala3
  77. Griffin3
  78. Asha3
  79. Fiona3
  80. Izzy3
  81. Joey3
  82. Maple3
  83. Holly3
  84. Kona3
  85. Piper3
  86. Kiwi3
  87. Bruno3
  88. Otto3
  89. Roxie3
  90. Mochi3
  91. Russell3
  92. Marley3
  93. Charley3
  94. Poppy3
  95. Peaches3
  96. Dixie3
  97. Finn3
  98. Ginger3
  99. Belle3
  100. Mila3
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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.