Most popular Xoloitzcuintli names

The names real owners gave 96 Xoloitzcuintlis in public license and shelter records.

Top 89 names

  1. Stella3
  2. Sid2
  3. Coco2
  4. Lola2
  5. Venus2
  6. Mango2
  7. Midnight1
  8. Xolo1
  9. Sophie1
  10. Itzli1
  11. Itzia1
  12. Maisy1
  13. Kelly1
  14. Capulin1
  15. Ume1
  16. Bear1
  17. Chicha1
  18. Tenoch1
  19. Zuri1
  20. Tochtli1
  21. Mezcal1
  22. Akasha1
  23. Cebu1
  24. Punky1
  25. Lupita1
  26. Calvin1
  27. Cia1
  28. Paloma1
  29. Xylo1
  30. Rada1
  31. Nina1
  32. Myla1
  33. Virgil1
  34. Mani1
  35. Piper1
  36. Banzai1
  37. Serafina1
  38. Mitl1
  39. Mya1
  40. Remy1
  41. Selena1
  42. Schuester1
  43. Giggsy1
  44. Sabino1
  45. Choopie1
  46. Alma1
  47. Eta1
  48. Orinoco1
  49. Henri1
  50. Dr.1
  51. Chocolatta1
  52. Lalo1
  53. Tanya1
  54. Coco Xolo Dunne1
  55. Laika1
  56. Ruby1
  57. Lucky1
  58. Scarlet1
  59. Dede1
  60. Lily1
  61. Izzy1
  62. Echo1
  63. Kisa1
  64. Mahea1
  65. Feta1
  66. Cricket1
  67. Cece1
  68. Lizzie1
  69. Paprika1
  70. Sabadee1
  71. Winky1
  72. Rosina1
  73. Eddy Allende Barrans1
  74. Linus1
  75. Beau1
  76. Rex1
  77. Harley1
  78. Riley1
  79. Dillon1
  80. Bodie1
  81. Rayo1
  82. Harvey1
  83. Porter1
  84. Xoechii1
  85. Oscar1
  86. Pepino1
  87. Bill1
  88. Taquito1
  89. Tlaloc1
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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.