Trends

Trending in Germany
on Oct 29, 2023

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

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  1. DE
    Matthew Perry
    new
  2. EN
    Matthew Perry
    new
  3. DE
    Charlie Chaplin
    new
  4. DE
    Death on the Nile
    new
  5. DE
    Friends
    new
  6. DE
    Gaza Strip
    + 18%
  7. DE
    Lizzy Caplan
    new
  8. DE
    Chaplin
    new
  9. DE
    Porsche 928
    new
  10. DE
    Tatort: Königinnen
    new
  11. DE
    Israel
    + 11%
  12. DE
    Mustafa Kemal Atatürk
    new
  13. DE
    Murder on the Orient Express
    - 51%
  14. DE
    Hamas
    + 15%
  15. RU
    Matthew Perry
    new
  16. DE
    State of Palestine
    + 11%
  17. DE
    Oona O'Neill
    new
  18. DE
    Halloween
    + 30%
  19. DE
    Kenneth Branagh
    + 40%
  20. DE
    Luna Schweiger
    new
  21. DE
    Venom: Let There Be Carnage
    new
  22. DE
    Dagestan
    new
  23. DE
    Veronica Ferres
    new
  24. DE
    Therapy
    + 10%
  25. DE
    Emma Mackey
    new
  26. DE
    Jennifer Aniston
    new
  27. DE
    Courteney Cox
    new
  28. FA
    Matthew Perry
    new
  29. DE
    Franka Potente
    - 273%
  30. DE
    Matt LeBlanc
    new
  31. DE
    Gal Gadot
    new
  32. DE
    Geraldine Chaplin
    new
  33. DE
    deaths in 2023
    + 22%
  34. DE
    Wolfgang Fierek
    new
  35. DE
    Lilly Wiedemann
    new
  36. DE
    Luke Perry
    new
  37. DE
    Tyson Fury
    - 2%
  38. DE
    Taylor Swift
    + 21%
  39. DE
    Germany
    + 21%
  40. DE
    Sahra Wagenknecht
    - 19%
  41. DE
    daylight saving time
    new
  42. EN
    John Bennett Perry
    new
  43. DE
    Pornhub
    + 11%
  44. DE
    Palestine
    + 13%
  45. DE
    Torsten Frings
    new
  46. DE
    Armie Hammer
    new
  47. DE
    Killers of the Flower Moon
    - 5%
  48. DE
    David Schwimmer
    new
  49. DE
    Reformation Day
    new
  50. DE
    West Bank
    + 14%
Those data refers to the most visited pages on Wikipedia from Germany on Oct 29, 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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