Trends

Trending in Germany
on Sep 14, 2024

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

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  1. DE
    Stefan Raab
    + 96%
  2. DE
    Regina Halmich
    + 95%
  3. DE
    Günter Netzer
    new
  4. DE
    Carola Bridge
    - 54%
  5. DE
    list of longest cantilever bridges
    - 1%
  6. DE
    Michaela DePrince
    new
  7. DE
    Pamela Reif
    new
  8. DE
    Peter Maffay
    new
  9. DE
    Doro
    new
  10. DE
    Chad McQueen
    - 128%
  11. DE
    Wonder
    new
  12. DE
    Laura Loomer
    new
  13. DE
    Wolfgangsee
    new
  14. DE
    Elton
    new
  15. DE
    Caterina Valente
    - 70%
  16. DE
    Glasgow effect
    new
  17. DE
    Linkin Park
    - 5%
  18. DE
    Charlotte Link
    new
  19. DE
    Emily Armstrong
    - 6%
  20. DE
    Santiano
    new
  21. DE
    Patrick Swayze
    new
  22. DE
    Helge Schneider
    new
  23. DE
    Henny Reents
    new
  24. DE
    deaths in 2024
    - 19%
  25. DE
    TV total
    new
  26. DE
    Marian Gold
    new
  27. DE
    Anne-Sophie Mutter
    new
  28. DE
    Ski Aggu
    new
  29. DE
    Point Break
    new
  30. DE
    Road House
    new
  31. DE
    Uglies
    new
  32. DE
    Chester Bennington
    - 3%
  33. DE
    Wolfgang Gerhardt
    - 490%
  34. DE
    Lyle and Erik Menéndez
    - 24%
  35. DE
    Nike Fuhrmann
    new
  36. EN
    Laura Loomer
    new
  37. DE
    Judith und Mel
    new
  38. DE
    Pornhub
    + 4%
  39. DE
    Beetlejuice
    + 10%
  40. DE
    Sarah Wiener
    new
  41. DE
    Harter Brocken: Der Geheimcode
    new
  42. DE
    Germany
    - 4%
  43. DE
    Fleetwood Mac
    - 172%
  44. DE
    Michael Buffer
    new
  45. DE
    iron lung
    new
  46. DE
    The Perfect Couple
    - 9%
  47. DE
    Heiko Klatt
    new
  48. DE
    The Lord of the Rings: The Rings of Power
    - 14%
  49. DE
    Sebastian Klussmann
    new
  50. DE
    ZDF
    new
Those data refers to the most visited pages on Wikipedia from Germany on Sep 14, 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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