🐾 Name My Pet

Most popular Chinese Sharpei names

The names real owners gave 256 Chinese Sharpeis in public license and shelter records.

Top 100 names

  1. Buddy4
  2. Bentley2
  3. Roxy2
  4. Max2
  5. Avery2
  6. Beau2
  7. Chato2
  8. Wilbur2
  9. Molly2
  10. Zeus2
  11. Lola2
  12. Felix2
  13. Ruby2
  14. Luna2
  15. Edna2
  16. Bella2
  17. Muffins1
  18. Lilly1
  19. Sheba1
  20. Diessel1
  21. Sterling1
  22. Ian1
  23. Amelia1
  24. Koa1
  25. Dolly1
  26. Shunka1
  27. Jewels1
  28. Helen1
  29. Carlito1
  30. Nicky1
  31. Grizzley1
  32. Walter1
  33. Nana1
  34. Kadee1
  35. Lulu (bella)1
  36. Galapagos1
  37. Bigs1
  38. Boots1
  39. Paty1
  40. Barack1
  41. Oscar1
  42. Coco1
  43. Tiger1
  44. Ling Ling1
  45. Emma1
  46. Remy1
  47. Capybara1
  48. Kimbo1
  49. Violet1
  50. Mamas1
  51. Honey Girl1
  52. Copper1
  53. Pig Bear1
  54. Sweet Pea1
  55. June1
  56. Raisin1
  57. Larue1
  58. Ruth1
  59. Ryder1
  60. Kyrie1
  61. Spunky1
  62. Button1
  63. Angel1
  64. Freckles1
  65. Bubbles1
  66. Penny1
  67. Garcia1
  68. Tom1
  69. Winston1
  70. Sarah1
  71. Sasha1
  72. Westley1
  73. Polly1
  74. Tommy1
  75. Rocky1
  76. Chloe1
  77. Geoffrey1
  78. Dugan1
  79. Minkus1
  80. Pearl1
  81. Rosie1
  82. Sun1
  83. Lyle1
  84. Gus1
  85. Carter1
  86. Clementine1
  87. Blanca1
  88. Bonzae1
  89. Bilbo1
  90. Zack1
  91. Louise1
  92. Odin1
  93. Apple1
  94. Cane1
  95. Rudy1
  96. Hobo1
  97. Harvey1
  98. Tony1
  99. Nitzia1
  100. Tank Girl1
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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.