Most popular Papillon names

The names real owners gave 988 Papillons in public license and shelter records.

Top 100 names

  1. Bella14
  2. Max12
  3. Luna10
  4. Chloe9
  5. Oreo9
  6. Charlie7
  7. Gizmo7
  8. Coco7
  9. Foxy7
  10. Prince7
  11. Louie6
  12. Stella6
  13. Toby5
  14. Rocky5
  15. Sophie5
  16. Pierre5
  17. Lucy5
  18. Lola5
  19. Peanut5
  20. Daisy5
  21. Lulu5
  22. Mia4
  23. Chanel4
  24. Harry4
  25. Oliver4
  26. Holly4
  27. Bambi4
  28. Pippin4
  29. Gracie4
  30. Cookie4
  31. Milo4
  32. Ziggy3
  33. Riley3
  34. Nala3
  35. Ivy3
  36. Maggie3
  37. Lily3
  38. Momo3
  39. Princess3
  40. George3
  41. Remy3
  42. Papi3
  43. Jack3
  44. Chester3
  45. Sparky3
  46. Ace3
  47. Penny3
  48. Stevie3
  49. Robin3
  50. Poppy3
  51. Joey3
  52. Honey3
  53. Ellie3
  54. Mickey3
  55. Merlin3
  56. Lucky3
  57. Molly3
  58. Simba3
  59. Roxy3
  60. Angel3
  61. Beau3
  62. Pepe3
  63. Scruffy3
  64. Buddy3
  65. Lexi3
  66. Thor3
  67. Teddy3
  68. Bette2
  69. Mila2
  70. Lexie2
  71. Jacques2
  72. Rico2
  73. Ginger2
  74. Ava2
  75. Roxie2
  76. Otto2
  77. Bentley2
  78. Jojo2
  79. Frenchie2
  80. Olivia2
  81. Mojo2
  82. Rosie2
  83. Freddy2
  84. Heidi2
  85. Gigi2
  86. Levi2
  87. Marcel2
  88. Dexter2
  89. Papillon2
  90. Tyler2
  91. Demi2
  92. Meeko2
  93. Loki2
  94. Whiskey2
  95. Dusty2
  96. Enzo2
  97. Laila2
  98. Papitese2
  99. Winston2
  100. Kona2
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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.