Most popular Rhodesian Ridgeback names

The names real owners gave 737 Rhodesian Ridgebacks in public license and shelter records.

Top 100 names

  1. Nala8
  2. Lucy7
  3. Buddy7
  4. Bella5
  5. Charlie5
  6. Luna5
  7. Penny5
  8. Leo4
  9. Clyde4
  10. Sadie4
  11. Rocky4
  12. Murphy4
  13. Bailey4
  14. Ruby4
  15. Scout4
  16. Zuri4
  17. Lola4
  18. Mia3
  19. Bruno3
  20. Abbey3
  21. Zeus3
  22. Freya3
  23. Hank3
  24. Maggie3
  25. Tucker3
  26. Harper3
  27. Major3
  28. Rosie3
  29. Loki3
  30. Hunter3
  31. Rusty3
  32. Lily3
  33. Chloe3
  34. Junior3
  35. Fred3
  36. Remi3
  37. Hazel3
  38. Max3
  39. Seven2
  40. Django2
  41. Lucky2
  42. Savannah2
  43. Apollo2
  44. Themba2
  45. Rocco2
  46. Billie2
  47. Juno2
  48. Zula2
  49. Maple2
  50. Butch2
  51. Ginger2
  52. Lexington2
  53. Annie2
  54. Ringo2
  55. Olive2
  56. Kaycee2
  57. Honey2
  58. Lilly2
  59. Rex2
  60. Cooper2
  61. Juli2
  62. Rowan2
  63. Dutch2
  64. Daisy2
  65. Raya2
  66. Shelby2
  67. Milly2
  68. Ophelia2
  69. Elvis2
  70. Winston2
  71. Chewie2
  72. Layla2
  73. Leia2
  74. Roxie2
  75. Blu2
  76. Seamus2
  77. Chase2
  78. Bentley2
  79. Persey2
  80. Romeo2
  81. Rastis2
  82. Otis2
  83. Toshi2
  84. Meeko2
  85. Dexter2
  86. Jasper2
  87. Omar2
  88. Lady2
  89. Ellie2
  90. Marley2
  91. Osiris2
  92. Frank2
  93. Jahi2
  94. Tripp2
  95. Wally2
  96. Zola2
  97. Hugo2
  98. Georgia2
  99. Dr.2
  100. Archer2
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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.