🐾 Name My Pet

Most popular Black names

The names real owners gave 186 Blacks in public license and shelter records.

Top 100 names

  1. Max3
  2. Toby2
  3. Copper2
  4. Petunia2
  5. Piper2
  6. King2
  7. Alfie2
  8. Ares2
  9. Todd2
  10. Dwight1
  11. Tar1
  12. Rolo1
  13. Kai1
  14. Dubai1
  15. Raleigh1
  16. Katy1
  17. Bud1
  18. Django1
  19. Dude1
  20. Buster1
  21. Tillie Mae1
  22. Seamus1
  23. Buddy Boy1
  24. Scooby1
  25. Colt1
  26. Zeke1
  27. Namaari1
  28. Mr. Waffles1
  29. Lovely1
  30. Beula May1
  31. Cookiemonst1
  32. Princess1
  33. Moose1
  34. Lacey1
  35. Pansy1
  36. Marley1
  37. Parker1
  38. Minnie1
  39. Jo1
  40. Magpie1
  41. Dakota1
  42. Khan1
  43. Dogtor Roxo1
  44. Booch1
  45. Smokey1
  46. Betsy1
  47. Toto1
  48. Wyatt1
  49. Dobby1
  50. Sylvester1
  51. Banjo1
  52. Leia1
  53. Huckleberry1
  54. Fern1
  55. Sam1
  56. Maxie1
  57. Bobby1
  58. Lola1
  59. Levi1
  60. Tucker1
  61. Ranger1
  62. Calpurnea1
  63. Lua1
  64. Zoey1
  65. Noel1
  66. Hamilton1
  67. Cobb1
  68. Vega1
  69. Whiskey1
  70. Karma1
  71. Oscar1
  72. Billy1
  73. Dumbo1
  74. Stanley1
  75. Callie1
  76. Quinn1
  77. Sammy1
  78. Roxy1
  79. Patty1
  80. Nyx1
  81. Chico1
  82. Wilder1
  83. Hershel1
  84. Dannie1
  85. Sisi1
  86. Boots1
  87. Clark1
  88. Sky1
  89. Chop1
  90. Roo1
  91. Ajax1
  92. Kleber1
  93. Xena1
  94. Lloyd1
  95. Mercury1
  96. Shadow1
  97. Henry Bumper1
  98. Harley1
  99. Capone1
  100. Camilo1
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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.