Trends

Trending in Germany
on Mar 15, 2024

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

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  1. DE
    Tony Bauer
    new
  2. DE
    Never Say Never Again
    new
  3. DE
    list of longest cantilever bridges
    - 1%
  4. DE
    Pornhub
    + 2%
  5. DE
    Kasia Lenhardt
    new
  6. DE
    Kate ter Horst
    new
  7. DE
    Puhdys
    new
  8. DE
    Lina Larissa Strahl
    new
  9. DE
    Detlef Soost
    new
  10. DE
    iron lung
    - 156%
  11. DE
    Biyon Kattilathu
    new
  12. DE
    Franziska Machens
    new
  13. DE
    The Doors
    new
  14. DE
    The Zone of Interest
    - 2%
  15. DE
    Jim Morrison
    new
  16. DE
    Swabian children
    new
  17. DE
    Lulu Lewe
    new
  18. DE
    Eva Padberg
    new
  19. DE
    Gina Alice Redlinger
    new
  20. DE
    Starship
    + 43%
  21. DE
    Schwabenkinder
    new
  22. EN
    Pornhub
    - 1%
  23. DE
    Jasmina Neudecker
    new
  24. DE
    KEPD 350
    - 60%
  25. DE
    Franz Kafka
    - 70%
  26. DE
    Dune
    + 29%
  27. DE
    deaths in 2024
    - 8%
  28. DE
    Klaus Maria Brandauer
    new
  29. DE
    Sophia Thiel
    new
  30. DE
    March 15
    new
  31. DE
    ChatGPT
    - 27%
  32. DE
    Birge Schade
    new
  33. DE
    Jorge González
    new
  34. DE
    Mark Keller
    new
  35. DE
    Jasna Fritzi Bauer
    new
  36. DE
    Christina Stürmer
    + 15%
  37. DE
    Wenche Myhre
    new
  38. DE
    Rudolf Höss
    + 14%
  39. DE
    Damsel
    + 31%
  40. DE
    Jérôme Boateng
    new
  41. DE
    Sarah Connor
    new
  42. RU
    Aleksandr Shirvindt
    new
  43. DE
    German occupation of Czechoslovakia
    new
  44. DE
    Germany
    + 3%
  45. DE
    Hannelore Gadatsch
    + 27%
  46. DE
    Malika Dzumaev
    new
  47. DE
    Jörg Hartmann
    new
  48. DE
    Dieter Birr
    new
  49. DE
    Manuel Neuer
    new
  50. DE
    Sean Connery
    new
Those data refers to the most visited pages on Wikipedia from Germany on Mar 15, 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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