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Most popular Coton De Tulear names

The names real owners gave 483 Coton De Tulears in public license and shelter records.

Top 100 names

  1. Luna7
  2. Rocky6
  3. Max6
  4. Lola5
  5. Coco5
  6. Buddy5
  7. Milo5
  8. Bentley4
  9. Oliver4
  10. Sophie4
  11. Sadie4
  12. Bear4
  13. Charlie4
  14. Chloe4
  15. Bodhi4
  16. Casper4
  17. Lulu4
  18. Leo4
  19. Teddy4
  20. Daisy4
  21. Marley3
  22. Stella3
  23. Oscar3
  24. Ollie3
  25. Mochi3
  26. Mia3
  27. Archie3
  28. Toby3
  29. Bella3
  30. Madeline3
  31. Jasper3
  32. Coton3
  33. Pippin2
  34. Millie2
  35. Roxy2
  36. Hudson2
  37. Cody2
  38. Skye2
  39. Jack2
  40. Simba2
  41. Lucy2
  42. Eduarda2
  43. Miro2
  44. Marlo2
  45. Hannah2
  46. Gizmo2
  47. Maddy2
  48. Willow2
  49. Oreo2
  50. Waffles2
  51. Chanel2
  52. Panda2
  53. Bandit2
  54. Prince2
  55. Coconut2
  56. Snowy2
  57. Cooper2
  58. Champ2
  59. Theo2
  60. Pixie2
  61. Remy2
  62. Lila2
  63. Cookie2
  64. Jazzy2
  65. Harley2
  66. Alfie2
  67. Sammy2
  68. Maximus2
  69. Hugo2
  70. Q-tip2
  71. Sunny2
  72. Maisy2
  73. Mischa2
  74. Archie Tyrone2
  75. Sasha2
  76. Enzo1
  77. Baloo1
  78. Beanie1
  79. Maizie1
  80. Penelope1
  81. Miss1
  82. Franky1
  83. Kabuki1
  84. Baxter1
  85. Che1
  86. Junie1
  87. Mika1
  88. Skyler1
  89. Madison1
  90. Toast1
  91. Loulou1
  92. Lump1
  93. Snowflake1
  94. Fido1
  95. Snookie1
  96. Jarvis1
  97. Bo1
  98. Yuki1
  99. Snow1
  100. Olaf1
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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.