Most popular Breed, Small Under Lbs Fully Grown names

The names real owners gave 386 Breed, Small Under Lbs Fully Growns in public license and shelter records.

Top 100 names

  1. Rosie5
  2. Luna4
  3. Pepper3
  4. Mochi3
  5. Matilda3
  6. Daisy3
  7. Charlie3
  8. Winnie2
  9. Lucy2
  10. Poppy2
  11. Ruby2
  12. Riley2
  13. Mocha2
  14. Sadie2
  15. Cherry2
  16. Ellie2
  17. Maisie2
  18. Hazel2
  19. Pippin2
  20. Maple2
  21. Bean2
  22. Penny2
  23. Teddy2
  24. Lucky2
  25. Molly2
  26. Nina2
  27. Otis2
  28. Louie2
  29. Coco2
  30. Milo2
  31. Rocket2
  32. Archie2
  33. Russell2
  34. Oscar2
  35. Max2
  36. Bandit2
  37. Buddy2
  38. Koda2
  39. Finn2
  40. Ollie2
  41. Henry2
  42. Marley2
  43. Jack2
  44. Rocky2
  45. Tootsie1
  46. Amie1
  47. Faith Sea Amabella1
  48. Lily1
  49. Moxie1
  50. Gretl1
  51. Missy1
  52. Lucy Loo1
  53. Mia1
  54. Doufu1
  55. Lilly1
  56. Jazzy1
  57. Helainora Sophia1
  58. Kitty1
  59. Blu1
  60. Gloria1
  61. Sky1
  62. Matzie1
  63. Layla Alpenfield1
  64. Trixxie1
  65. Rexina1
  66. Pato1
  67. Margie1
  68. Ru1
  69. Sundae1
  70. Annie1
  71. Trudi1
  72. Betty1
  73. Oreo1
  74. Sally1
  75. Tzipi1
  76. Haddie1
  77. Gladys1
  78. Callie1
  79. Maggie1
  80. Aunt Tilly1
  81. Gidget1
  82. Hachiko1
  83. Twig1
  84. Yuzu1
  85. Ella1
  86. Pica1
  87. Zoey1
  88. Cali1
  89. Bonita1
  90. Florecita1
  91. Rio1
  92. Auggie1
  93. Lollypop1
  94. Lua1
  95. Boo1
  96. Lassie1
  97. Yuki1
  98. Shortbread1
  99. Gracie1
  100. Patsy1
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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.