Trends

Trending in Italy
on Dec 25, 2023

The most searched Wikipedia pages in Italy: discover what people are looking for!

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Image credits: CC BY-SA 4.0 DCDEB
  1. IT
    Cruella
    new
  2. IT
    It's a Wonderful Life
    new
  3. IT
    Mika
    new
  4. IT
    Elisa
    - 64%
  5. IT
    Trading Places
    - 176%
  6. IT
    Miracle on 34th Street
    new
  7. IT
    Hachi: A Dog's Tale
    new
  8. IT
    Facebook
    + 5%
  9. IT
    Saltburn
    + 20%
  10. IT
    Hachikō
    new
  11. IT
    Lola Ponce
    new
  12. IT
    Rebel Moon — Part One: A Child of Fire
    + 5%
  13. IT
    Alberto Angela
    new
  14. IT
    Pornhub
    - 1%
  15. IT
    Coucou
    new
  16. IT
    Spirit: Stallion of the Cimarron
    new
  17. IT
    Emma Stone
    new
  18. IT
    Tombola
    new
  19. IT
    George Michael
    new
  20. IT
    Tut
    new
  21. IT
    Home Alone
    + 26%
  22. IT
    Leave the World Behind
    + 26%
  23. IT
    Riccardo Cocciante
    new
  24. IT
    Maria Callas
    new
  25. IT
    Leonard Bernstein
    + 27%
  26. IT
    Jack Frost
    new
  27. IT
    Santa Claus
    - 29%
  28. IT
    Dr. Seuss' How the Grinch Stole Christmas
    - 151%
  29. IT
    Donna Reed
    new
  30. IT
    Belle
    new
  31. IT
    James Stewart
    new
  32. IT
    Sol Invictus
    new
  33. IT
    XNXX.com
    + 19%
  34. IT
    Love the Coopers
    new
  35. IT
    Love Actually
    new
  36. IT
    Christmas
    + 13%
  37. IT
    Jamie Lee Curtis
    - 155%
  38. IT
    Macaulay Culkin
    new
  39. IT
    Ladyhawke
    + 22%
  40. IT
    Mara Wilson
    new
  41. IT
    Wish
    new
  42. IT
    joshua zirkzee
    + 3%
  43. IT
    Sette e Mezzo
    new
  44. IT
    Wonka
    new
  45. IT
    Wanda Nara
    - 212%
  46. IT
    Adagio
    new
  47. IT
    One Life
    new
  48. IT
    Kharp
    new
  49. IT
    Eduardo De Filippo
    + 10%
  50. IT
    The Lord of the Rings trilogy
    new
Those data refers to the most visited pages on Wikipedia from Italy on Dec 25, 2023.
The green, red and yellow indicators on each row are based on data from the day before: to get insights about the historical records, click here.
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