Most popular Domestic Longhair cat names

The names real owners gave 2,808 Domestic Longhair cats in public license and shelter records.

Top 100 names

  1. Fluffy17
  2. Leo16
  3. Lucy15
  4. Missy12
  5. Oliver11
  6. Charlie11
  7. Willow11
  8. Lily10
  9. Bella10
  10. Luna9
  11. Fiona9
  12. Chloe8
  13. Jasper8
  14. Maggie8
  15. Cleo8
  16. Pumpkin8
  17. Bear7
  18. Simba7
  19. Oscar7
  20. Felix7
  21. Molly7
  22. Percy6
  23. Sophie6
  24. Smokey6
  25. Poppy6
  26. Kiki6
  27. Harry6
  28. Monty6
  29. Pepper6
  30. Iris6
  31. Buddy6
  32. Rosie6
  33. Kitty6
  34. Shadow6
  35. Cooper6
  36. Princess6
  37. Salem5
  38. Sadie5
  39. Diego5
  40. Peaches5
  41. Walter5
  42. Cosmo5
  43. Chester5
  44. Ollie5
  45. Coco5
  46. Boo5
  47. Boots5
  48. Murphy5
  49. Tiger5
  50. Zeus5
  51. George5
  52. Baby5
  53. Juniper5
  54. Ember5
  55. Zoe5
  56. Milo5
  57. Lola5
  58. Miss Kitty5
  59. Midnight5
  60. Sugar5
  61. Stormy5
  62. Joey5
  63. Daisy5
  64. Max5
  65. Fluff5
  66. Penny4
  67. Misha4
  68. Scarlett4
  69. Pearl4
  70. Goose4
  71. Mocha4
  72. Belle4
  73. Jade4
  74. Artemis4
  75. Garfield4
  76. Jackson4
  77. Calvin4
  78. Sage4
  79. Buster4
  80. Maple4
  81. Penelope4
  82. Millie4
  83. Lucky4
  84. Buttercup4
  85. Stevie4
  86. Mina4
  87. Basil4
  88. Binx4
  89. Onyx4
  90. Frank4
  91. Bagheera4
  92. Mittens4
  93. Loki4
  94. Tommy4
  95. Frankie4
  96. Ginger4
  97. Rocky4
  98. Sam4
  99. Arthur4
  100. Sammy4
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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.