Trends

Trending in Italy
on Sep 19, 2023

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

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  1. IT
    Ivan Provedel
    new
  2. IT
    Giorgio Napolitano
    new
  3. IT
    Greenland
    new
  4. IT
    Diego Pablo Simeone
    new
  5. IT
    Januarius
    new
  6. IT
    Gessica Notaro
    + 68%
  7. IT
    Oppenheimer
    - 13%
  8. IT
    Tiziano Ferro
    new
  9. IT
    Facebook
    stable
  10. IT
    A Haunting in Venice
    - 11%
  11. IT
    Nagorno-Karabakh
    new
  12. IT
    Gianni Vattimo
    new
  13. IT
    Greta
    new
  14. IT
    The Equalizer 2
    new
  15. IT
    SSC Napoli
    - 21%
  16. IT
    Aurelio Andreazzoli
    new
  17. IT
    Last Night of Amore
    - 82%
  18. IT
    Enrico Piaggio
    new
  19. IT
    list of One Piece episodes
    - 3%
  20. IT
    Newcastle United F.C.
    new
  21. IT
    Robert Oppenheimer
    - 17%
  22. IT
    YouTube
    + 3%
  23. IT
    Antoine Griezmann
    new
  24. IT
    I, Daniel Blake
    new
  25. IT
    Luis Alberto
    new
  26. IT
    HPI
    new
  27. IT
    Taylor Swift
    new
  28. IT
    One Piece
    - 8%
  29. IT
    Contagion
    new
  30. IT
    Pat Garrett and Billy the Kid
    new
  31. IT
    Paolo Zanetti
    new
  32. IT
    Marco Sportiello
    new
  33. IT
    RAI
    + 8%
  34. IT
    Prichard Colón
    new
  35. IT
    Azerbaijan
    new
  36. IT
    Tomorrow, When the War Began
    new
  37. IT
    Ciro Immobile
    new
  38. IT
    SS Lazio
    new
  39. IT
    Axel Witsel
    new
  40. IT
    Bernard Tapie
    - 28%
  41. IT
    Yunus Musah
    new
  42. IT
    Armenia
    new
  43. IT
    Beatrice Luzzi
    - 62%
  44. IT
    Sandro Tonali
    new
  45. IT
    Clio Bittoni
    new
  46. IT
    Alex Schwazer
    - 157%
  47. IT
    One Piece
    - 24%
  48. IT
    UEFA Champions League
    new
  49. IT
    Morena Baccarin
    new
  50. IT
    Atlético Madrid
    new
Those data refers to the most visited pages on Wikipedia from Italy on Sep 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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