Most popular Japanese Spitz names

The names real owners gave 155 Japanese Spitzs in public license and shelter records.

Top 100 names

  1. Sol3
  2. Bomdal2
  3. Luchi2
  4. Rocky2
  5. Willow2
  6. Mideum2
  7. Kenny2
  8. Jupiter2
  9. Luna2
  10. Ashley2
  11. Avocado2
  12. Yuri2
  13. Miko2
  14. Bliss1
  15. Cloud1
  16. Sky1
  17. Lumen1
  18. Jack1
  19. Rudy1
  20. Mari1
  21. Bowie1
  22. Nutmeg1
  23. Martin1
  24. Pinky1
  25. Suki1
  26. Grace1
  27. Moog1
  28. Monty1
  29. Volvo1
  30. Moca1
  31. Luis1
  32. Halo1
  33. Teddy1
  34. Fox1
  35. Simba1
  36. Prince1
  37. Illy1
  38. Maruko1
  39. Tachi1
  40. Tai1
  41. Ggul1
  42. Stella1
  43. Daram1
  44. Hobbang1
  45. Liz1
  46. Jjingbbang1
  47. Fizz1
  48. Ringo1
  49. Dennis1
  50. Ruggles1
  51. Anne1
  52. Beckgom1
  53. Max1
  54. Snow1
  55. Bay1
  56. Tio1
  57. Kumo1
  58. Muscles1
  59. Ophelia1
  60. Honey1
  61. Cashew1
  62. Phoebe1
  63. Daisy1
  64. Nalgea1
  65. Zoe1
  66. Pong1
  67. Mochi1
  68. Lulu1
  69. Beau1
  70. Chile1
  71. Kemba1
  72. Cola1
  73. Plume1
  74. Fisher1
  75. Suzanne1
  76. Ghost1
  77. Chewy1
  78. Hoshi1
  79. Nimbus1
  80. Finn1
  81. Blake1
  82. Lily1
  83. Dobby1
  84. Billy1
  85. Benny1
  86. Daoni1
  87. Yoshi1
  88. Sheba1
  89. Jolly1
  90. Kong1
  91. Ace1
  92. Pingping1
  93. Wooju1
  94. Vita1
  95. Moxie1
  96. Winner1
  97. Alvin1
  98. Bira1
  99. Ricky1
  100. Rain1
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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.