Most popular Shar-pei, Chinese names

The names real owners gave 412 Shar-pei, Chineses in public license and shelter records.

Top 100 names

  1. Bella6
  2. Daisy5
  3. Coco5
  4. Sharpei5
  5. Stella4
  6. Lola4
  7. Mr3
  8. Hippo3
  9. Buddy3
  10. Brody3
  11. Bear3
  12. Lulu3
  13. Piper3
  14. Mini3
  15. Oscar2
  16. Uni2
  17. Sosa2
  18. Kenzo2
  19. Hudson2
  20. Butters2
  21. Mr.2
  22. Rosie2
  23. Beaux2
  24. Abbie2
  25. Nina2
  26. Jake2
  27. Bentley2
  28. Scooby2
  29. Bacon2
  30. Scout2
  31. Ming2
  32. Lea2
  33. Sharpie2
  34. Maple2
  35. Polo2
  36. Mabel2
  37. Duke2
  38. Jasmine2
  39. Rocco2
  40. Brodie2
  41. Twix2
  42. Yoda2
  43. Monday2
  44. Lucky2
  45. Sugar2
  46. Brooklyn2
  47. Leo2
  48. Benjamin2
  49. Moose2
  50. Daphne2
  51. Loco1
  52. Sebastian1
  53. Aoki1
  54. Riley1
  55. Sandy1
  56. Maximilian1
  57. Pepper1
  58. Freddie1
  59. Clinton1
  60. Dino1
  61. Nova1
  62. Desirea1
  63. Chyanne1
  64. Winston1
  65. Boone1
  66. Irma1
  67. Godiva1
  68. Skylar1
  69. Ziggy1
  70. Henney1
  71. Wasabi1
  72. Olive1
  73. Rover1
  74. Max1
  75. Lali1
  76. Bishop1
  77. Nala1
  78. Spike1
  79. Bubba1
  80. Shumai1
  81. Sabrina1
  82. Darcy1
  83. Gene1
  84. Debbie1
  85. Cinnamon1
  86. Sesame1
  87. Vartdiv1
  88. Gus1
  89. Wes1
  90. Buddyton1
  91. Omar1
  92. Einstein1
  93. Potato1
  94. Winter1
  95. Mia1
  96. Stevie1
  97. Zoe1
  98. Melvin1
  99. Ollie1
  100. Ladie1
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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.