Trends

Trending in Germany
on Apr 12, 2024

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

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  1. DE
    O. J. Simpson
    - 75%
  2. DE
    Pornhub
    - 1%
  3. DE
    Fallout
    + 49%
  4. DE
    kidnapping of Reemtsma
    new
  5. DE
    Björn Höcke
    + 10%
  6. DE
    Jan Philipp Reemtsma
    new
  7. DE
    list of longest cantilever bridges
    stable
  8. EN
    Pornhub
    + 3%
  9. DE
    Eckart Dux
    - 56%
  10. DE
    Nicole Brown Simpson
    - 50%
  11. DE
    Ann-Kathrin Bendixen
    new
  12. DE
    Borgward
    new
  13. DE
    Trương Mỹ Lan
    new
  14. DE
    Mark Keller
    new
  15. DE
    Nyke Slawik
    new
  16. DE
    Tony Bauer
    new
  17. DE
    xHamster
    - 5%
  18. DE
    Tanja Wedhorn
    new
  19. DE
    Ella Purnell
    + 21%
  20. DE
    Fallout
    + 22%
  21. DE
    Elton
    - 66%
  22. DE
    Zoltan Paul
    new
  23. DE
    Jack Reacher: Never Go Back
    new
  24. DE
    Mario Voigt
    - 35%
  25. DE
    Alexandru Ionel
    new
  26. DE
    Johann Scheerer
    new
  27. DE
    Pikelot
    new
  28. EN
    O. J. Simpson
    - 53%
  29. DE
    Thomas Heinze
    new
  30. DE
    Max Werner
    new
  31. DE
    Marwa Eldessouky
    new
  32. DE
    deaths in 2024
    - 11%
  33. DE
    Roberto Cavalli
    new
  34. DE
    Amy Winehouse
    - 34%
  35. DE
    April 12
    new
  36. DE
    We Are Next of Kin
    new
  37. DE
    Ronnie Wood
    new
  38. DE
    Jana Wosnitza
    new
  39. DE
    Akebono Tarō
    - 181%
  40. DE
    Zoropsis spinimana
    new
  41. DE
    Adele Neuhauser
    new
  42. DE
    Detlef Soost
    new
  43. DE
    The Magnificent Seven
    new
  44. DE
    ChatGPT
    - 25%
  45. DE
    Jorge González
    - 4%
  46. EN
    Fallout
    + 4%
  47. DE
    Katharina Wackernagel
    new
  48. DE
    Mirja Boes
    + 1%
  49. DE
    Sophia Thiel
    new
  50. DE
    Cobie Smulders
    new
Those data refers to the most visited pages on Wikipedia from Germany on Apr 12, 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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