Trends

Trending in Italy
on Mar 19, 2025

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

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  1. IT
    Ventotene Manifesto
    new
  2. IT
    Nadia Cassini
    new
  3. IT
    Altiero Spinelli
    new
  4. IT
    The Boy with Pink Pants
    new
  5. IT
    Roberto Benigni
    new
  6. IT
    Father's Day
    + 69%
  7. IT
    Ventotene
    new
  8. IT
    Adolescence
    new
  9. IT
    Eugenio Colorni
    new
  10. EN
    Adolescence
    - 25%
  11. IT
    Ernesto Rossi
    new
  12. IT
    Interstellar
    new
  13. IT
    The Equalizer 2
    new
  14. IT
    Jean Monnet
    new
  15. IT
    Antonio Candreva
    - 67%
  16. IT
    Yorgo Voyagis
    new
  17. IT
    Pietro Genuardi
    - 107%
  18. IT
    Joseph
    new
  19. IT
    Incel
    + 32%
  20. IT
    Ursula Hirschmann
    new
  21. IT
    Doctor Zhivago
    new
  22. IT
    Sofia Corradi
    new
  23. IT
    Ludwig
    new
  24. IT
    Federico Fornaro
    new
  25. IT
    The Leopard
    - 30%
  26. IT
    RAI
    + 1%
  27. IT
    Public Enemies
    new
  28. IT
    murder of Chiara Poggi
    - 51%
  29. IT
    Zeppole
    new
  30. IT
    RED
    new
  31. IT
    Davide Santon
    new
  32. IT
    Pino Daniele
    new
  33. COMMONS
    Wiki Loves Folklore 2025
    - 45%
  34. IT
    Monica Maggioni
    new
  35. IT
    The Sea Beyond
    - 23%
  36. IT
    John Dillingeri
    new
  37. IT
    The Eight Mountains
    - 356%
  38. IT
    The Equalizer
    - 61%
  39. IT
    Ursula von der Leyen
    + 14%
  40. IT
    European Union
    new
  41. IT
    Here Now
    - 95%
  42. IT
    bagna càuda
    new
  43. IT
    Ardeatine massacre
    new
  44. IT
    Bruce Willis
    new
  45. IT
    Sveva Casati Modignani
    new
  46. IT
    World War III
    new
  47. IT
    Follemente
    - 11%
  48. IT
    Il dio serpente
    new
  49. IT
    The Leopard
    - 28%
  50. IT
    Ventotene
    new
Those data refers to the most visited pages on Wikipedia from Italy on Mar 19, 2025.
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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