Most popular American Bully names

The names real owners gave 1,406 American Bullys in public license and shelter records.

Top 100 names

  1. Blue22
  2. Rocky18
  3. Zeus17
  4. Luna16
  5. Bella14
  6. Tank13
  7. Coco13
  8. Tyson13
  9. Diesel10
  10. Ghost10
  11. Biggie9
  12. Storm8
  13. King8
  14. Nala8
  15. Cookie7
  16. Rosie7
  17. Brooklyn7
  18. Bruno7
  19. Nova7
  20. Ace6
  21. Apollo6
  22. Duke6
  23. Rambo6
  24. Blu6
  25. Smokey6
  26. Champ6
  27. Harley5
  28. Rocco5
  29. Max5
  30. Mia5
  31. Oreo5
  32. Shadow5
  33. Melo5
  34. Princess5
  35. Lady5
  36. Honey5
  37. Roxy5
  38. Loki5
  39. Hazel5
  40. Dior5
  41. Prince5
  42. Enzo4
  43. Boogie4
  44. Kane4
  45. Thor4
  46. Cayden4
  47. Draco4
  48. Sheba4
  49. Nyla4
  50. Taz4
  51. Diamond4
  52. Hercules4
  53. Winter4
  54. Queen4
  55. Star4
  56. Zoey4
  57. Lola3
  58. Cooper3
  59. Lexie3
  60. Titan3
  61. Bolo3
  62. Bronx3
  63. Casper3
  64. Paris3
  65. Capone3
  66. Sky3
  67. Smoke3
  68. Sinatra3
  69. Hollywood3
  70. Minnie3
  71. Lucy3
  72. Dante3
  73. Chloe3
  74. Haze3
  75. Xena3
  76. Rogue3
  77. Jackson3
  78. Midnight3
  79. Buddy3
  80. Mocha3
  81. Sasha3
  82. Violet3
  83. Artemis3
  84. Gotti3
  85. Ruby3
  86. Koda3
  87. Daisy3
  88. Mac3
  89. Sammy3
  90. Bizmarck3
  91. Sir3
  92. Gucci3
  93. Koko3
  94. Maximus3
  95. Maya3
  96. Bear3
  97. Lexi3
  98. Blanca3
  99. Onyx3
  100. Sage3
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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.