🐾 Name My Pet

Most popular Jindo names

The names real owners gave 1,054 Jindos in public license and shelter records.

Top 100 names

  1. Luna14
  2. Milo5
  3. Riley5
  4. Tofu5
  5. Juno5
  6. Leo5
  7. Kai5
  8. Jin4
  9. Bella4
  10. Ginger4
  11. Happy4
  12. Kaya4
  13. Rumi4
  14. Maru3
  15. Archie3
  16. Lulu3
  17. Daisy3
  18. Latte3
  19. Roo3
  20. Loki3
  21. Toki3
  22. Nala3
  23. Jack3
  24. Toby3
  25. Cookie3
  26. Ruthie3
  27. Cherry3
  28. Poppy3
  29. Kona3
  30. Ghost3
  31. Nari3
  32. Sally3
  33. Olivia3
  34. Pepper3
  35. Bandit2
  36. Ziggy2
  37. Lami2
  38. River2
  39. Willy2
  40. Sunny2
  41. Gus2
  42. Nami2
  43. Popo2
  44. Nabi2
  45. Stevie2
  46. Monte2
  47. Choco2
  48. Anna2
  49. Ingo2
  50. Maria2
  51. Star2
  52. Emi2
  53. Haku2
  54. Suki2
  55. Ten2
  56. Winter2
  57. Glory2
  58. Cosmo2
  59. Han2
  60. Scout2
  61. Gamja2
  62. Juniper2
  63. Ari2
  64. Nova2
  65. Samosa2
  66. Mint2
  67. Yuki2
  68. Dua2
  69. Yeong-gi2
  70. Nina2
  71. Bagel2
  72. Smith2
  73. Elf2
  74. Tedy2
  75. Hodoo2
  76. Lou2
  77. Kimchi2
  78. Bori2
  79. Dani2
  80. Coco2
  81. Nori2
  82. Jojo2
  83. Chae2
  84. Sakura2
  85. Buddy2
  86. Berry2
  87. Sylvia2
  88. Alice2
  89. Zelda2
  90. Bean2
  91. Louie2
  92. Gumiho2
  93. Hannah2
  94. Phoebe2
  95. Mello2
  96. Bailey2
  97. Lyra2
  98. Houdini2
  99. Kyuri2
  100. Zimka2
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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.