🐾 Name My Pet

Most popular German Shorthaired Pointer names

The names real owners gave 350 German Shorthaired Pointers in public license and shelter records.

Top 100 names

  1. Charlie6
  2. Cody5
  3. Ollie5
  4. Max5
  5. Henry4
  6. Pepper4
  7. Hank4
  8. Apollo4
  9. Rosie3
  10. Tucker3
  11. Remi3
  12. Luna3
  13. Otis3
  14. Teddy3
  15. Leo3
  16. Mila3
  17. Cooper3
  18. Sacha3
  19. Ziggy3
  20. Penny2
  21. Lola2
  22. Patches2
  23. Bella2
  24. Roxie2
  25. Daisy2
  26. Hugo2
  27. Guinness2
  28. Rocket2
  29. Moose2
  30. Minnie2
  31. Maggie2
  32. Winston2
  33. Sasha2
  34. Blue2
  35. Ruby2
  36. Roxy2
  37. Cash2
  38. River2
  39. Hunter2
  40. Stella2
  41. Nova2
  42. Willy2
  43. Heidi2
  44. Otto2
  45. Wally2
  46. Rufus2
  47. Remy2
  48. Oscar1
  49. Ranger1
  50. Lady1
  51. Nate1
  52. Savannah1
  53. Brownie1
  54. Jacks1
  55. Weston1
  56. Paxil1
  57. Alex1
  58. Laser1
  59. Sadie1
  60. Cookie1
  61. Liberty1
  62. Aruba1
  63. Everett1
  64. Prissy1
  65. Hubert1
  66. Wiley1
  67. Temple1
  68. Iggy1
  69. Violet1
  70. Snoopy1
  71. Winni1
  72. Balu1
  73. Cici1
  74. Frankie1
  75. Sibyl1
  76. Sophie1
  77. Tracker1
  78. Ivy1
  79. Stormy1
  80. Zoey1
  81. Spotacus1
  82. Matisse1
  83. Giulia1
  84. Samwise1
  85. Rupert1
  86. Rivera1
  87. Clyde1
  88. Zorro1
  89. Chloe1
  90. Bismarck1
  91. Mac1
  92. Riley1
  93. Awesome1
  94. Marni1
  95. Rebel1
  96. Lyra1
  97. Oreo1
  98. Taz1
  99. Fitz1
  100. Locke1
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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.