Most popular Bloodhound names

The names real owners gave 211 Bloodhounds in public license and shelter records.

Top 100 names

  1. Holly3
  2. Daisy3
  3. Charlie3
  4. Bruno3
  5. Moose2
  6. Murphy2
  7. Maggie2
  8. Gus2
  9. Penny2
  10. Linus2
  11. Simon2
  12. Ginger2
  13. Red2
  14. Sammie2
  15. Nova2
  16. Prince2
  17. Lucy2
  18. Ruby2
  19. Mabel2
  20. Bean2
  21. Millie2
  22. Albus2
  23. Maple2
  24. Hubert2
  25. Blue2
  26. Lolo1
  27. Teddy1
  28. Steffie1
  29. Bunker1
  30. Oliver1
  31. Sophie1
  32. Annie1
  33. Mays1
  34. Buster1
  35. Ripley1
  36. Reba1
  37. Oona1
  38. Bubba1
  39. Bubble1
  40. Jude1
  41. Duke1
  42. Theo1
  43. Chilli1
  44. Luke1
  45. Emmie1
  46. Lana1
  47. Ggotnim1
  48. Oberon1
  49. Jiggly1
  50. Sammy1
  51. Mia1
  52. Carlos1
  53. Laurie1
  54. Brodie1
  55. Ebby1
  56. Caramelo1
  57. Olive1
  58. Bluto1
  59. Dolly1
  60. Dbrickashaw1
  61. Louie1
  62. Copper1
  63. Dexter1
  64. Stella1
  65. Skynyrd1
  66. Cuda1
  67. Riley1
  68. Harley1
  69. Noah1
  70. Mclaren1
  71. Poppy1
  72. Fiona1
  73. Halloumi1
  74. Clyde1
  75. Jessie1
  76. Cloud1
  77. Cheeto1
  78. Maya1
  79. Bertie1
  80. Blitzan1
  81. Coppper1
  82. Kore1
  83. Pipa1
  84. Gatsby1
  85. Zelda1
  86. Lilly1
  87. Neddie1
  88. Catherine1
  89. Sully1
  90. Bella1
  91. Cornelius1
  92. Jessica1
  93. Groot1
  94. Monday1
  95. Vernon1
  96. Cayde1
  97. Dew1
  98. Cole1
  99. Layla1
  100. Lacey1
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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.