Trends

Trending in Italy
on Nov 2, 2023

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

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  1. IT
    murder of Elisa Claps
    - 169%
  2. IT
    Luigi Berlinguer
    + 46%
  3. EN
    Arijon Ibrahimović
    new
  4. IT
    Facebook
    + 1%
  5. IT
    Jannik Sinner
    + 20%
  6. IT
    Nuovo Olimpo
    - 36%
  7. IT
    The Lions of Sicily
    - 49%
  8. IT
    Israel
    - 25%
  9. IT
    Matthew Perry
    - 76%
  10. IT
    Florio
    - 28%
  11. IT
    Gaza Strip
    - 25%
  12. IT
    Comandante
    - 67%
  13. IT
    Blanca
    new
  14. IT
    Serena Williams
    - 89%
  15. IT
    State of Palestine
    - 24%
  16. IT
    Five Nights at Freddy's
    + 11%
  17. IT
    Ignazio Florio
    - 8%
  18. IT
    Venus Williams
    - 91%
  19. IT
    Paola Cortellesi
    + 18%
  20. IT
    Vincenzo Florio
    - 46%
  21. IT
    Salvatore Todaro
    - 51%
  22. IT
    Hamas
    - 21%
  23. IT
    All Souls' Day of deahts
    - 1%
  24. IT
    Mori-Torbole tunnel
    new
  25. IT
    Elodie
    new
  26. IT
    Gabriele Amorth
    - 55%
  27. IT
    No Nut November
    - 10%
  28. IT
    An enemy who loves you
    new
  29. IT
    No Escape
    new
  30. IT
    Saw
    - 29%
  31. IT
    Beatrice Luzzi
    new
  32. IT
    Ballon d'Or
    - 99%
  33. IT
    Ferzan Özpetek
    - 11%
  34. IT
    Killers of the Flower Moon
    - 80%
  35. IT
    Saw X
    - 27%
  36. IT
    Black Sea
    new
  37. IT
    murder of Meredith Kercher
    - 54%
  38. IT
    Zionism
    new
  39. IT
    RAI
    - 19%
  40. IT
    Alberto Paloschi
    new
  41. IT
    Halloween
    - 248%
  42. IT
    Palestine
    - 18%
  43. IT
    Lionel Messi
    - 55%
  44. IT
    The Beatles
    new
  45. IT
    David Beckham
    - 37%
  46. IT
    Miriam Leone
    - 79%
  47. IT
    Ciro Petrone
    new
  48. IT
    Anima gemella
    - 108%
  49. IT
    Clostridium botulinum
    new
  50. IT
    Israeli–Palestinian conflict
    new
Those data refers to the most visited pages on Wikipedia from Italy on Nov 2, 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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