Trends

Trending in Italy
on Dec 1, 2023

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

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Image credits: Public domain Andrea Appiani
  1. IT
    Henry Kissinger
    - 292%
  2. IT
    Pornhub
    - 7%
  3. IT
    Facebook
    + 4%
  4. IT
    Shane MacGowan
    - 54%
  5. IT
    Ciao Darwin
    new
  6. IT
    Napoleon
    - 5%
  7. IT
    Independence Day
    new
  8. IT
    SSC Napoli
    + 20%
  9. IT
    Grido
    new
  10. IT
    Hans Nicolussi
    new
  11. IT
    There Is Still Tomorrow
    stable
  12. IT
    Sal da Vinci
    new
  13. IT
    Un professore
    - 33%
  14. IT
    Breuil-Cervinia
    - 114%
  15. IT
    The Untouchables
    new
  16. IT
    Night Hunter
    new
  17. IT
    XNXX.com
    - 1%
  18. IT
    Napoleon
    - 10%
  19. IT
    Jannik Sinner
    - 23%
  20. EN
    Paolo Macchiarini
    + 1%
  21. IT
    Gleno Dam
    new
  22. IT
    INPS
    + 5%
  23. IT
    Michele Riondino
    new
  24. IT
    Burnt
    new
  25. IT
    Juventus FC
    new
  26. IT
    Dove Cameron
    - 174%
  27. IT
    RAI
    - 10%
  28. IT
    Clementino
    new
  29. IT
    The Pogues
    - 47%
  30. IT
    Guido Crosetto
    new
  31. IT
    Glena dam disaster
    new
  32. IT
    Un professore, season 2
    - 28%
  33. IT
    XVideos
    + 13%
  34. IT
    Federico Gatti
    new
  35. IT
    Al Capone
    new
  36. IT
    Rafael Nadal
    new
  37. IT
    Mamma Mia! Here We Go Again
    new
  38. IT
    Circeo Massacre
    - 68%
  39. IT
    Italy
    - 2%
  40. IT
    Valentín Carboni
    new
  41. IT
    Sasumata
    new
  42. IT
    Krampus
    - 19%
  43. IT
    Paola Cortellesi
    - 26%
  44. IT
    ChatGPT
    - 32%
  45. IT
    Elliott Erwitt
    new
  46. IT
    Taylor Swift
    new
  47. IT
    Palazzina Laf
    new
  48. IT
    Angelina Mango
    - 43%
  49. IT
    Joséphine de Beauharnais
    - 9%
  50. IT
    Raffaele Palladino
    new
Those data refers to the most visited pages on Wikipedia from Italy on Dec 1, 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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