Trends

Trending in Italy
on Dec 19, 2023

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

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  1. IT
    Once Upon a Time in Hollywood
    new
  2. IT
    Napoli milionaria!
    - 208%
  3. IT
    Susanna Parigi
    + 3%
  4. IT
    Facebook
    - 5%
  5. IT
    Chiara Ferragni
    + 35%
  6. IT
    Pornhub
    - 3%
  7. IT
    Threads
    - 21%
  8. IT
    Houthi movement
    new
  9. IT
    INPS
    - 8%
  10. IT
    Coppa Italia
    new
  11. IT
    Leave the World Behind
    - 30%
  12. IT
    Josip Iličić
    new
  13. IT
    Elon Musk
    - 59%
  14. IT
    Ladyhawke
    new
  15. IT
    Io sono Babbo Natale
    new
  16. IT
    Giuseppe Caso
    new
  17. IT
    Princess Margaret, Countess of Snowdon
    - 14%
  18. IT
    Un professore, season 2
    + 9%
  19. IT
    XNXX.com
    + 19%
  20. IT
    Sorry We Missed You
    new
  21. IT
    Sharon Tate
    new
  22. IT
    Napoli milionaria!
    - 159%
  23. IT
    Virginio Fasan
    new
  24. IT
    SSC Napoli
    - 33%
  25. IT
    Joshua Zirkzee
    - 33%
  26. IT
    RAI
    + 6%
  27. IT
    Un professore
    - 7%
  28. IT
    XVideos
    + 2%
  29. IT
    Gigi Proietti
    new
  30. IT
    Brad Pitt
    - 66%
  31. IT
    Audrey Hepburn
    new
  32. IT
    Sanremo Music Festival 2024
    new
  33. IT
    Vanessa Scalera
    - 71%
  34. IT
    Jonathan Majors
    new
  35. IT
    YouTube
    new
  36. IT
    Alessandro Baricco
    new
  37. IT
    There Is Still Tomorrow
    - 23%
  38. IT
    Mietta
    new
  39. EN
    Pornhub
    - 18%
  40. IT
    Adagio
    - 22%
  41. IT
    Italy
    new
  42. IT
    Eusebio Di Francesco
    new
  43. IT
    Wonka
    - 30%
  44. IT
    José Mourinho
    new
  45. IT
    ChatGPT
    new
  46. IT
    Brigitte Nielsen
    new
  47. IT
    FIFA Club World Cup
    new
  48. IT
    Gloria Campaner
    new
  49. IT
    Tate murders
    new
  50. IT
    Elizabeth II
    new
Those data refers to the most visited pages on Wikipedia from Italy on Dec 19, 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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