🐾 Name My Pet

Most popular Hound names

The names real owners gave 619 Hounds in public license and shelter records.

Top 100 names

  1. Luna9
  2. Lola6
  3. Penny5
  4. Lily5
  5. Franklin4
  6. Maple4
  7. Jack4
  8. Pepper4
  9. Milo4
  10. Ellie4
  11. Baxter4
  12. Buddy4
  13. Charlie4
  14. Elvis4
  15. Lucy4
  16. Evie3
  17. Mabel3
  18. Daisy3
  19. Nala3
  20. Lucky3
  21. Harley3
  22. Leo3
  23. Ruby3
  24. Lacey3
  25. Fiona3
  26. Oliver3
  27. Archie3
  28. Simon3
  29. Rosie3
  30. Jordan3
  31. Georgia2
  32. Winnie2
  33. Max2
  34. Hunter2
  35. Joey2
  36. Finn2
  37. Maggie2
  38. Fern2
  39. Murphy2
  40. Honeybee2
  41. Denzel2
  42. Sherlock2
  43. Ripley2
  44. Tokyo2
  45. Peggy2
  46. Arlo2
  47. Hugo2
  48. Willow2
  49. Rooney2
  50. Nina2
  51. Frankie2
  52. Pretzel2
  53. Riley2
  54. Hank2
  55. Henry2
  56. Kaia2
  57. Lotus2
  58. Sam2
  59. Dakota2
  60. Roxy2
  61. Layla2
  62. Roo2
  63. Dottie2
  64. Ginger2
  65. Olive2
  66. Juno2
  67. Stella2
  68. Rose2
  69. Fred2
  70. Teddy2
  71. Richard2
  72. Zelda2
  73. Maverick2
  74. Echo2
  75. Misty2
  76. Maddie2
  77. Stanley2
  78. Sadie2
  79. Dobby2
  80. Ozzy2
  81. Hank Aaron2
  82. Hiram1
  83. Perry1
  84. Kobe1
  85. Bowie1
  86. Dillan1
  87. Glinda1
  88. Deeva1
  89. Dembe1
  90. Everett1
  91. Kenzie1
  92. Emily1
  93. Babygirl1
  94. Naga1
  95. Mani1
  96. Annabelle1
  97. Natto1
  98. Lando1
  99. Libby1
  100. Rummy1
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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.