Most popular Chihuahua, Long Coat names

The names real owners gave 225 Chihuahua, Long Coats in public license and shelter records.

Top 100 names

  1. Angel3
  2. Ellie2
  3. Marley2
  4. Robin2
  5. Stella2
  6. Trixie2
  7. Bean2
  8. Teddy2
  9. Clyde2
  10. Coco2
  11. Ollie2
  12. Oliver2
  13. Charlie2
  14. Wilson2
  15. Bear2
  16. Chewie2
  17. Shadow2
  18. Penelope1
  19. Muffin1
  20. Chuki1
  21. Coffee1
  22. Jewel1
  23. Daffy1
  24. Cocoa1
  25. Skylar1
  26. Penny1
  27. Twinkie1
  28. Meatball1
  29. Bailey1
  30. Zuri1
  31. Skrimp1
  32. Lola1
  33. Acorn1
  34. Sophie1
  35. Uma1
  36. Lily Belle1
  37. Zarya1
  38. Gyna1
  39. Frenchy1
  40. Laika1
  41. Proscuitto1
  42. Josie1
  43. Stevie Nicks1
  44. Kimiko1
  45. Lydia1
  46. Bisous1
  47. Juniper1
  48. Blue1
  49. Mia1
  50. Nora1
  51. Delilah1
  52. Licky1
  53. Allie1
  54. Yuki1
  55. Lemon1
  56. Ataraxia1
  57. Edie1
  58. Daisy1
  59. Kyra1
  60. Chlow1
  61. Arabelle1
  62. Maude1
  63. Tina1
  64. Spicey1
  65. Honey1
  66. Melody1
  67. Dela1
  68. Dulce1
  69. Baby Daughter1
  70. Lily1
  71. Jolene1
  72. Nova1
  73. Olive1
  74. Cindy1
  75. Leia1
  76. Navi1
  77. Cookie1
  78. Chloe1
  79. Livia1
  80. Luci Lou1
  81. Goldie1
  82. Alani1
  83. Bonita Elizabeth1
  84. Java1
  85. Koda1
  86. Ada1
  87. Sumi1
  88. Piper1
  89. Gracie1
  90. Sunny1
  91. Scout1
  92. Lucy1
  93. Minnie1
  94. Daffodil1
  95. Buffy1
  96. Lexi1
  97. Capulla1
  98. Rinn1
  99. Hazel1
  100. Kobi1
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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.