Trends

Trending in Germany
on Apr 9, 2025

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

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  1. DE
    Lars Klingbeil
    new
  2. DE
    Vanilla Sky
    new
  3. DE
    Johann Wadephul
    new
  4. DE
    August Wittgenstein
    new
  5. DE
    Dietrich Bonhoeffer
    new
  6. DE
    Dire wolf
    - 87%
  7. DE
    list of longest cantilever bridges
    + 1%
  8. DE
    motor torpedo boat
    new
  9. DE
    Saskia Esken
    new
  10. DE
    Tino Sorge
    new
  11. DE
    Peter Navarro
    + 21%
  12. DE
    roulette
    + 10%
  13. DE
    Marie Strauß
    - 67%
  14. DE
    Linda Hesse
    new
  15. DE
    Heinz Nixdorf
    new
  16. DE
    Men of Honor
    new
  17. DE
    blackjack
    + 13%
  18. DE
    Clem Burke
    + 46%
  19. DE
    Hans Rosenthal
    - 204%
  20. DE
    Anne Frank
    new
  21. DE
    Dorothee Bär
    new
  22. DE
    Daniela Büchner
    new
  23. DE
    ChatGPT
    - 21%
  24. DE
    Alexander Dobrindt
    new
  25. DE
    Wilhelm Canaris
    new
  26. DE
    Adolescence
    - 5%
  27. DE
    April 9
    new
  28. DE
    The White Lotus
    + 7%
  29. DE
    deaths in 2025
    - 6%
  30. DE
    Michaela Kaniber
    new
  31. DE
    Germany
    + 8%
  32. DE
    Sonja Eichwede
    new
  33. DE
    Noah Saavedra
    new
  34. DE
    Ina Scharrenbach
    new
  35. DE
    corporate tax
    new
  36. DE
    Denise M'Baye
    new
  37. DE
    Friedrich Merz
    new
  38. DE
    Kristina Sinemus
    new
  39. DE
    Donald Trump
    - 2%
  40. DE
    Amira Pocher
    new
  41. DE
    Pornhub
    - 1%
  42. DE
    Christian Lindner
    new
  43. DE
    How to Sell Drugs Online (Fast)
    + 7%
  44. DE
    Natalia Grace
    new
  45. DE
    Das K.O.M.I.T.E.E.
    new
  46. DE
    Robert De Niro
    - 25%
  47. DE
    Robert Lewandowski
    new
  48. DE
    Scholz cabinet
    new
  49. DE
    Markus Söder
    new
  50. DE
    Lou Bega
    new
Those data refers to the most visited pages on Wikipedia from Germany on Apr 9, 2025.
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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