Most popular Siamese cat names

The names real owners gave 1,810 Siamese cats in public license and shelter records.

Top 100 names

  1. Luna13
  2. Casper11
  3. Blue10
  4. Lily9
  5. Smokey9
  6. Bella9
  7. Snowball8
  8. Milo8
  9. Elsa8
  10. Sasha7
  11. Jasmine7
  12. Simon7
  13. Frankie7
  14. Nala7
  15. Sam7
  16. Willow6
  17. Pearl6
  18. Snow6
  19. Angel6
  20. Chloe6
  21. Mia6
  22. Daisy5
  23. Lucy5
  24. Sammy5
  25. Toby5
  26. Leo5
  27. Mochi5
  28. Zelda5
  29. Mimi5
  30. Lilac5
  31. Lulu5
  32. Romeo4
  33. Loki4
  34. Billy4
  35. Violet4
  36. Stella4
  37. Zeus4
  38. Yuki4
  39. Charlie4
  40. Julius4
  41. Samson4
  42. Coconut4
  43. Sushi4
  44. Belle4
  45. Baby4
  46. Winter4
  47. Sebastian4
  48. Willie4
  49. Sugar4
  50. Precious4
  51. Momo3
  52. Zoey3
  53. Olivia3
  54. Trixie3
  55. Cisco3
  56. Griffin3
  57. Theo3
  58. Fifi3
  59. Teddy3
  60. Nimbus3
  61. Freya3
  62. Anna3
  63. Orion3
  64. Merlin3
  65. Clyde3
  66. Suki3
  67. Blu3
  68. Tony3
  69. Camille3
  70. Mama3
  71. Biscuit3
  72. Ivy3
  73. Sky3
  74. Phoebe3
  75. Bruce3
  76. Lotus3
  77. Louis3
  78. Opal3
  79. Sassy3
  80. Neptune3
  81. Frank3
  82. Sinatra3
  83. Charlotte3
  84. Yoda3
  85. Dale3
  86. Bonnie3
  87. Monkey3
  88. Peter3
  89. George3
  90. Coco3
  91. Calvin3
  92. Percy3
  93. Maxwell3
  94. Jack3
  95. Max3
  96. Walter3
  97. Peaches3
  98. Mittens3
  99. Moon3
  100. Glacier3
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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.