🐾 Name My Pet

Most popular Pointer names

The names real owners gave 1,331 Pointers in public license and shelter records.

Top 100 names

  1. Daisy13
  2. Lucy12
  3. Gracie10
  4. Maggie8
  5. Oreo8
  6. Harley8
  7. Jack7
  8. Lola7
  9. Luna7
  10. Bella7
  11. Duke6
  12. Penny6
  13. Charlie6
  14. Spot6
  15. Rocky6
  16. Coco6
  17. Millie6
  18. Piper5
  19. Ranger5
  20. Pepper5
  21. Dottie5
  22. Roxy5
  23. Buster5
  24. Chloe5
  25. Max5
  26. Birdie5
  27. Ruby5
  28. Poppy5
  29. Cookie5
  30. Moose5
  31. Hazel5
  32. Sally5
  33. Rosie4
  34. Sophie4
  35. Milo4
  36. Sadie4
  37. Sasha4
  38. Molly4
  39. Jake4
  40. Leo4
  41. Tucker4
  42. Willow4
  43. Lily4
  44. Ziggy4
  45. Jax4
  46. Loki4
  47. Oliver4
  48. Bentley4
  49. Gus4
  50. Olive4
  51. Marley4
  52. Layla3
  53. Annie3
  54. Clover3
  55. Betty3
  56. Willie3
  57. Nala3
  58. Sammy3
  59. Mancha3
  60. Benson3
  61. Fiona3
  62. Scout3
  63. Lucky3
  64. Maisy3
  65. Lexi3
  66. Otis3
  67. Cash3
  68. Cousin3
  69. Lady3
  70. Dolly3
  71. Rex3
  72. Toby3
  73. Angie3
  74. Louie3
  75. Bailey3
  76. Rio3
  77. Yogi3
  78. Athena3
  79. Chief3
  80. William3
  81. Snoopy3
  82. Gemma3
  83. Beau3
  84. Zoey3
  85. Hank3
  86. Midnight3
  87. Quincy2
  88. Sweetie2
  89. Honey2
  90. Maus2
  91. Ginger2
  92. Roz2
  93. Oscar2
  94. Mabel2
  95. Rusty2
  96. Ally2
  97. Andy2
  98. George2
  99. Clementine2
  100. Finley2
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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.