Trends

Trending in Italy
on Oct 6, 2024

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

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  1. IT
    Sammy Basso
    new
  2. IT
    progeria
    new
  3. IT
    Lyle and Erik Menéndez
    - 11%
  4. IT
    David de Gea
    new
  5. IT
    Camila Giorgi
    new
  6. IT
    Joker: Folie à Deux
    - 33%
  7. IT
    Nikka Costa
    new
  8. IT
    Drusilla Foer
    new
  9. IT
    Luca Barbareschi
    - 69%
  10. IT
    The Platform
    - 43%
  11. IT
    Francesco Bagnaia
    new
  12. IT
    Achille Lauro
    - 55%
  13. IT
    A Time to Kill
    new
  14. IT
    2024 MotoGP World Championship
    new
  15. IT
    Rocco Siffredi
    new
  16. IT
    Tomás Martín Etcheverry
    new
  17. IT
    Chico Conceição
    new
  18. IT
    Eleonora Giorgi
    new
  19. IT
    Rosa Caracciolo
    new
  20. IT
    Sean Combs
    - 31%
  21. IT
    Pedro
    new
  22. IT
    Ballon
    new
  23. IT
    Eminem
    - 124%
  24. IT
    Lolita
    new
  25. IT
    Don Costa
    new
  26. IT
    J. R. R. Tolkien
    new
  27. IT
    Barbara D'Urso
    - 151%
  28. IT
    Massimo Ciavarro
    new
  29. IT
    Joker
    - 35%
  30. IT
    Deborah Lettieri
    new
  31. IT
    Marcus Thuram
    - 8%
  32. IT
    Schio
    new
  33. IT
    The Lord of the Rings: The Rings of Power
    - 33%
  34. EN
    Bad Blood (2024)
    new
  35. IT
    Paola Iezzi
    - 32%
  36. IT
    Asolo
    new
  37. IT
    Monica Maggioni
    new
  38. IT
    Elon Musk
    new
  39. IT
    Giampaolo Morelli
    - 41%
  40. IT
    Everything Calls for Salvation
    + 4%
  41. IT
    Jake La Furia
    - 108%
  42. IT
    Sam Berns
    new
  43. IT
    Vermiglio
    - 47%
  44. IT
    Tolkien
    new
  45. IT
    David Alonso
    new
  46. IT
    Baldassare Reina
    new
  47. IT
    Paola
    new
  48. IT
    Renzo Arbore
    new
  49. IT
    Gerry Scotti
    new
  50. IT
    Bianca Guaccero
    - 322%
Those data refers to the most visited pages on Wikipedia from Italy on Oct 6, 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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