Most popular Domestic Medium Hair cat names

The names real owners gave 5,159 Domestic Medium Hair cats in public license and shelter records.

Top 100 names

  1. Luna28
  2. Milo25
  3. Lucy22
  4. Charlie22
  5. Oliver19
  6. Bella18
  7. Oreo17
  8. Daisy16
  9. Willow15
  10. Lily15
  11. Shadow15
  12. Leo15
  13. Bear14
  14. Penelope13
  15. Max13
  16. Jack13
  17. Marley13
  18. Gracie12
  19. Sasha12
  20. Cosmo12
  21. Smokey11
  22. Oscar11
  23. Fluffy11
  24. Mochi11
  25. Kitty11
  26. George11
  27. Midnight11
  28. Simba11
  29. Lola10
  30. Harry10
  31. Ruby10
  32. Ginger10
  33. Jasper10
  34. Minnie10
  35. Pepper10
  36. Mia10
  37. Mimi10
  38. Rosie9
  39. Stella9
  40. Honey9
  41. Eddie9
  42. Mouse9
  43. Violet9
  44. Molly9
  45. Frankie9
  46. Sophie9
  47. Tiger9
  48. Pumpkin9
  49. Abby8
  50. Athena8
  51. Gizmo8
  52. Piper8
  53. Gus8
  54. Momo8
  55. Loki8
  56. Lulu8
  57. Boo8
  58. Monkey8
  59. Maggie8
  60. Boots8
  61. Callie8
  62. Penny8
  63. Iris8
  64. Misty8
  65. Joey8
  66. Rose8
  67. Patches7
  68. Zelda7
  69. Felix7
  70. Onyx7
  71. Chloe7
  72. Artemis7
  73. Toby7
  74. Biscuit7
  75. Scout7
  76. Cleo7
  77. Kiki7
  78. Bandit7
  79. Ash7
  80. Tommy7
  81. Apollo7
  82. Jenny7
  83. Bug7
  84. Amelia7
  85. Luke7
  86. Mittens7
  87. Missy7
  88. Bobby7
  89. Sammy6
  90. Peaches6
  91. Louie6
  92. Tigger6
  93. Hugo6
  94. Tom6
  95. Ollie6
  96. Sebastian6
  97. Tucker6
  98. Ziggy6
  99. Winnie6
  100. Salem6
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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.