Trends

Trending in Italy
on Mar 26, 2024

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

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  1. IT
    Baltimore
    new
  2. IT
    The Three-Body Problem
    - 6%
  3. IT
    3 Body Problem
    + 2%
  4. IT
    Grande Fratello
    + 58%
  5. EN
    Francis Scott Key Bridge
    new
  6. IT
    Grande Fratello, season 17
    + 44%
  7. IT
    Facebook
    + 5%
  8. IT
    Lorenzo Musetti
    new
  9. IT
    Jannik Sinner
    + 54%
  10. IT
    Rust and Bone
    new
  11. IT
    Julian Assange
    new
  12. IT
    Beatrice Luzzi
    + 21%
  13. IT
    UEFA Euro 2024
    + 39%
  14. IT
    Fritz Wepper
    - 63%
  15. IT
    Christopher O'Connell
    + 44%
  16. IT
    Rocco Siffredi
    + 8%
  17. IT
    Heather O'Rourke
    new
  18. IT
    Le indagini di Lolita Lobosco
    - 29%
  19. IT
    Francis Scott Key Bridge
    new
  20. IT
    Tomáš Macháč
    new
  21. IT
    Endrick Felipe
    new
  22. IT
    Shōgun
    + 26%
  23. IT
    Appaloosa
    new
  24. IT
    Eleonora Pedron
    new
  25. IT
    Replicas
    new
  26. IT
    Poor Things
    - 10%
  27. IT
    three-body problem
    - 2%
  28. IT
    Francesco Acerbi
    new
  29. EN
    Pornhub
    new
  30. IT
    XNXX.com
    + 1%
  31. IT
    Fabrizio Frizzi
    new
  32. IT
    Warrior
    new
  33. IT
    Studio Battaglia
    new
  34. IT
    RAI
    + 1%
  35. IT
    YouTube
    + 14%
  36. IT
    2024 Miami Open
    new
  37. IT
    Fabio Troiano
    new
  38. IT
    Maryland
    new
  39. IT
    Corrado Augias
    - 7%
  40. IT
    Road House
    - 10%
  41. IT
    Horst Tappert
    - 74%
  42. IT
    Matteo Arnaldi
    new
  43. IT
    Tajikistan
    - 105%
  44. IT
    Jann Mardenborough
    - 23%
  45. IT
    Italy
    - 13%
  46. IT
    Framed! A Sicilian Murder Mystery
    new
  47. IT
    Miami Open
    new
  48. IT
    Nicolò Zaniolo
    new
  49. IT
    Enzo Ferrari
    - 18%
  50. IT
    Kung Fu Panda 4
    - 21%
Those data refers to the most visited pages on Wikipedia from Italy on Mar 26, 2024.
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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