🐾 Name My Pet

Most popular Breed, Medium Up To Lbs Fully Grown names

The names real owners gave 828 Breed, Medium Up To Lbs Fully Growns in public license and shelter records.

Top 100 names

  1. Luna9
  2. Lucy8
  3. Pepper6
  4. Charlie6
  5. Milo6
  6. Daisy5
  7. Josie5
  8. Sadie5
  9. Bailey5
  10. Ziggy5
  11. Raven4
  12. Kona4
  13. Willow4
  14. Fiona4
  15. Ruby4
  16. Honey4
  17. Juniper4
  18. Molly4
  19. Koda4
  20. Gus4
  21. Teddy4
  22. Lucky4
  23. Kira3
  24. Angel3
  25. Hazel3
  26. Ginger3
  27. Bella3
  28. Ellie3
  29. Millie3
  30. Frankie3
  31. Maya3
  32. Georgia3
  33. Trixie3
  34. Goose3
  35. Phoebe3
  36. Poppy3
  37. Cricket3
  38. Sunny3
  39. Cooper3
  40. Ozzie3
  41. Finn3
  42. George3
  43. Wally3
  44. Umi2
  45. Izzy2
  46. Ducky2
  47. Juno2
  48. Astrid2
  49. Goldie2
  50. Demi2
  51. Leia2
  52. Bear2
  53. Sweetie2
  54. Laika2
  55. Biscuit2
  56. Zoey2
  57. Skye2
  58. Sandy2
  59. Nala2
  60. Nova2
  61. Maggie2
  62. Moo2
  63. Sage2
  64. Roxy2
  65. Gracie2
  66. Loretta2
  67. Piper2
  68. Lola2
  69. Rosie2
  70. Suki2
  71. Scout2
  72. Oslo2
  73. Wolfie2
  74. Leo2
  75. Clyde2
  76. Fergus2
  77. Archie2
  78. Hank2
  79. Buddy2
  80. Oreo2
  81. Dash2
  82. Arlo2
  83. Ollie2
  84. Griffin2
  85. Winston2
  86. Mango2
  87. Sirius2
  88. Booker2
  89. Rusty2
  90. Felix2
  91. Tucker2
  92. Kobe2
  93. Obi2
  94. Parker2
  95. Dino2
  96. Tycho2
  97. Renzo2
  98. Oliver2
  99. Henry2
  100. Heidi1
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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.