🐾 Name My Pet

Most popular Plott names

The names real owners gave 414 Plotts in public license and shelter records.

Top 100 names

  1. Penny5
  2. Tucker4
  3. Java4
  4. Bailey4
  5. Luna3
  6. Otis3
  7. Ruby3
  8. Roxy3
  9. Nash3
  10. Monty3
  11. Bowie3
  12. Minnie3
  13. Cooper3
  14. Zeus3
  15. Livvy2
  16. Brody2
  17. Blue2
  18. Haddie2
  19. Meadow2
  20. Floyd2
  21. Lila2
  22. Jax2
  23. Rocky2
  24. Mochaccino2
  25. Rainbow2
  26. Molly2
  27. Lucy2
  28. Finn2
  29. Tao2
  30. Delilah2
  31. Melina2
  32. Spike2
  33. Fluffie2
  34. Fidoh2
  35. Cocada2
  36. Zoe2
  37. Ripley2
  38. Graham2
  39. Gia2
  40. Millie2
  41. June2
  42. Jess2
  43. Red2
  44. Destro2
  45. Charlie2
  46. Boba2
  47. Axle2
  48. Shirley2
  49. Emmy2
  50. Barclay1
  51. Koby1
  52. Savannah1
  53. Harry1
  54. Sunny1
  55. Piper1
  56. Frankfurter1
  57. Mia1
  58. Bensky1
  59. Basil1
  60. Stella1
  61. Ollie1
  62. George1
  63. Gunther1
  64. Henna1
  65. Lena1
  66. Hudson1
  67. Lane1
  68. Juno1
  69. Lunabelle1
  70. Flynn1
  71. Hopper1
  72. Luke1
  73. Atticus1
  74. Bonnie1
  75. Clyde1
  76. Mako1
  77. Tuffy1
  78. Precious1
  79. Vinny1
  80. Jean1
  81. Goose1
  82. Banzai1
  83. Katogo1
  84. Chef1
  85. Carmen1
  86. Cash1
  87. Sydney1
  88. Dante1
  89. Regi1
  90. Lemon1
  91. Miss.1
  92. Scout1
  93. Chico1
  94. Gus1
  95. Medivka1
  96. Marnie1
  97. Lucille1
  98. Beta1
  99. Fender1
  100. Blair1
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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.