🐾 Name My Pet

Most popular Schnauzer, Standard names

The names real owners gave 435 Schnauzer, Standards in public license and shelter records.

Top 100 names

  1. Max9
  2. Luna6
  3. Lola5
  4. Chloe5
  5. Chase5
  6. Bella4
  7. Stella4
  8. Maggie4
  9. Rocky4
  10. Bruno4
  11. Toby3
  12. Daisy3
  13. Oreo3
  14. Sophie3
  15. Baxter3
  16. Buddy3
  17. Felix3
  18. Oliver3
  19. Otto3
  20. Lilly3
  21. Ruby2
  22. Rocco2
  23. Charlie2
  24. Coco2
  25. George2
  26. Wally2
  27. Lucy2
  28. Rocket2
  29. Benjamin2
  30. Jinx!2
  31. Andy2
  32. Frida2
  33. Pepper2
  34. Lexie2
  35. Storm2
  36. Gucci2
  37. Greta2
  38. Benji2
  39. Bruce2
  40. Princess2
  41. Chiquis2
  42. Juniper2
  43. Monkey2
  44. Archie2
  45. Watson2
  46. Sadie2
  47. Franklin2
  48. Pixie2
  49. Bailey2
  50. Marty2
  51. Louis2
  52. Penny2
  53. Oscar2
  54. Smoky2
  55. Otis2
  56. Cody2
  57. Zeus2
  58. Bo2
  59. Fritz2
  60. Riley2
  61. Maxwell2
  62. Johnny2
  63. Lucky2
  64. Augustus2
  65. Cooper2
  66. Rocko2
  67. Joey2
  68. Frankie1
  69. Onyx1
  70. Kima1
  71. Bosco1
  72. Peppercorn1
  73. Schatzi1
  74. Button1
  75. Mollybear1
  76. Chespier1
  77. Daffy1
  78. Ricky1
  79. Owen1
  80. Truffles1
  81. Carter1
  82. Jinx1
  83. Casey1
  84. Avon1
  85. Sparkle1
  86. Peanut1
  87. Atletl1
  88. Rosco1
  89. Cara1
  90. Duke1
  91. Ripley1
  92. Willa1
  93. Dobby1
  94. Licorice1
  95. Murphy1
  96. Flora1
  97. Maui1
  98. Fonzie1
  99. Nico1
  100. Mo1
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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.