🐾 Name My Pet

Most popular Breed, Large Over Lbs Fully Grown names

The names real owners gave 718 Breed, Large Over Lbs Fully Growns in public license and shelter records.

Top 100 names

  1. Luna12
  2. Rosie10
  3. Charlie6
  4. Pepper5
  5. Scout5
  6. Buddy5
  7. Cooper5
  8. Mabel4
  9. Birdie4
  10. Maggie4
  11. Rocky4
  12. Athena4
  13. Duke4
  14. Moose4
  15. Jack4
  16. Louie4
  17. Poppy3
  18. Olive3
  19. Parker3
  20. Sophie3
  21. Ruby3
  22. Winnie3
  23. Kona3
  24. Molly3
  25. Sunny3
  26. Mia3
  27. Daisy3
  28. Ellie3
  29. Phoebe3
  30. Tiger3
  31. Leo3
  32. Luke3
  33. Ziggy3
  34. Apollo3
  35. Loki3
  36. Frank3
  37. Blue3
  38. Milo3
  39. Frida2
  40. Violet2
  41. Ripley2
  42. Artemis2
  43. Mika2
  44. Onyx2
  45. Izzy2
  46. Zoey2
  47. Lolo2
  48. Bailey2
  49. Junebug2
  50. Coco2
  51. Dobby2
  52. Cookie2
  53. Bodhi2
  54. Nova2
  55. Kali2
  56. Maple2
  57. Cali2
  58. Riley2
  59. Lola2
  60. Rio2
  61. Frankie2
  62. Marley2
  63. Sage2
  64. Lucy2
  65. Stella2
  66. Waffles2
  67. Abby2
  68. Nala2
  69. Evie2
  70. Mochi2
  71. Wally2
  72. Brody2
  73. Murphy2
  74. Zeus2
  75. Cody2
  76. Tucker2
  77. Felix2
  78. Phoenix2
  79. Benny2
  80. Barry2
  81. Kevin2
  82. Bear2
  83. Pongo2
  84. Max2
  85. Theo2
  86. Woody2
  87. Link2
  88. Walter2
  89. Shadow2
  90. Champion2
  91. Aspen2
  92. Maverick2
  93. Rudy2
  94. Pirate2
  95. Cleo1
  96. Taro1
  97. Hazel1
  98. Pumpkin Seed1
  99. Kiki1
  100. Alejzha1
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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.