Trends

Trending in Italy
on Mar 30, 2024

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

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  1. IT
    Grigor Dimitrov
    + 27%
  2. IT
    SSC Napoli
    new
  3. IT
    1972 Andes flight disaster
    new
  4. IT
    Jannik Sinner
    - 18%
  5. IT
    The Three-Body Problem
    + 7%
  6. IT
    Keros
    + 64%
  7. IT
    Igor Tudor
    new
  8. IT
    Facebook
    - 3%
  9. IT
    Giuseppe Giofrè
    new
  10. IT
    Francesco Schiavone
    - 85%
  11. IT
    King of Kings
    new
  12. IT
    3 Body Problem
    - 21%
  13. IT
    Danielle Collins
    new
  14. IT
    Margherita Hack
    new
  15. IT
    Serena Williams
    new
  16. IT
    Runaway Bride
    new
  17. IT
    Easter
    + 34%
  18. IT
    Easter Vigil
    new
  19. IT
    Eleonora Abbagnato
    - 234%
  20. IT
    Juventus FC
    new
  21. IT
    Louis Gossett Jr.
    - 1%
  22. IT
    Poor Things
    + 18%
  23. IT
    The Recruit
    new
  24. IT
    Chance Perdomo
    new
  25. IT
    Se potessi dirti addio
    - 122%
  26. IT
    Pope Francis
    new
  27. IT
    Annino Mele
    new
  28. IT
    Godzilla x Kong: The New Empire
    - 8%
  29. IT
    Kung Fu Panda 2
    new
  30. IT
    Jesus of Nazareth
    + 19%
  31. IT
    Rosalinda Cannavò
    new
  32. IT
    Glass
    new
  33. IT
    Rocco Siffredi
    stable
  34. IT
    Alexander Zverev
    - 3%
  35. IT
    XNXX.com
    + 2%
  36. IT
    Kung Fu Panda 4
    new
  37. IT
    Jeffrey Hunter
    new
  38. IT
    Shōgun
    + 15%
  39. IT
    daylight saving time
    new
  40. IT
    RAI
    - 10%
  41. IT
    Holy Saturday
    new
  42. IT
    Alive
    new
  43. IT
    Enzo Ferrari
    new
  44. IT
    YouTube
    - 5%
  45. IT
    Stromboli
    new
  46. IT
    three-body problem
    + 7%
  47. IT
    Kung Fu Panda
    new
  48. IT
    Joe Barone
    new
  49. IT
    Resurrection of Jesus
    new
  50. IT
    Priscilla
    new
Those data refers to the most visited pages on Wikipedia from Italy on Mar 30, 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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