Trends

Trending in Germany
on Apr 11, 2024

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

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Image credits: CC BY-SA 4.0 Superbass
  1. DE
    O. J. Simpson
    new
  2. DE
    Eckart Dux
    new
  3. DE
    Pornhub
    - 2%
  4. DE
    Akebono Tarō
    new
  5. DE
    Nicole Brown Simpson
    new
  6. DE
    list of longest cantilever bridges
    - 2%
  7. DE
    Alexander Steinlechner
    + 13%
  8. EN
    Pornhub
    + 1%
  9. DE
    Björn Höcke
    new
  10. DE
    Elton
    + 39%
  11. EN
    cyberterrorism
    new
  12. EN
    O. J. Simpson
    new
  13. DE
    Mario Voigt
    new
  14. DE
    Fallout
    new
  15. DE
    Amy Winehouse
    + 56%
  16. DE
    xHamster
    + 8%
  17. DE
    Johanna von Puttkamer
    new
  18. DE
    deaths in 2024
    + 12%
  19. DE
    Xabi Alonso
    new
  20. DE
    April 11
    new
  21. DE
    ChatGPT
    - 11%
  22. DE
    Ella Purnell
    new
  23. DE
    Fallout
    new
  24. DE
    Eid al-Fitr
    - 145%
  25. DE
    Jorge González
    new
  26. DE
    Ron Goldman
    new
  27. DE
    Amanda Knox
    new
  28. DE
    Tanja Tischewitsch
    - 116%
  29. DE
    Staré zámecké schody
    new
  30. DE
    Mirja Boes
    new
  31. DE
    Germany
    - 1%
  32. DE
    O. J. Simpson murder case
    new
  33. EN
    Fallout
    new
  34. DE
    Claudia Major
    new
  35. DE
    Motsi Mabuse
    new
  36. DE
    Charité
    - 5%
  37. DE
    Walter Kohl
    new
  38. DE
    Gunnar Beck
    new
  39. DE
    Lena Lorenz
    new
  40. DE
    yokozuna
    new
  41. DE
    Otto von Bismarck
    new
  42. DE
    West Ham United F.C.
    new
  43. DE
    O. J. Simpson murder case
    new
  44. DE
    Ernst Gütschow
    new
  45. DE
    swatting
    new
  46. DE
    Crooks
    - 15%
  47. DE
    Christine Strobl
    new
  48. DE
    Bayer 04 Leverkusen
    new
  49. DE
    Battle of Schwaderloh
    new
  50. DE
    Elon Musk
    new
Those data refers to the most visited pages on Wikipedia from Germany on Apr 11, 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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