Trends

Trending in Germany
on Mar 30, 2025

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

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  1. DE
    Richard Chamberlain
    new
  2. DE
    Faber and Bönisch
    new
  3. DE
    Adolescence
    + 24%
  4. DE
    Myanmar
    - 31%
  5. DE
    daylight saving time
    + 5%
  6. DE
    Lars Klingbeil
    new
  7. DE
    Steve McQueen
    new
  8. DE
    Zsolt Lőw
    new
  9. DE
    list of longest cantilever bridges
    - 1%
  10. DE
    The Thorn Birds
    new
  11. DE
    Florence Gaub
    new
  12. DE
    Pornhub
    + 6%
  13. DE
    Eid al-Fitr
    + 57%
  14. DE
    Robert Oppenheimer
    + 19%
  15. DE
    Gerd Poppe
    new
  16. DE
    Two Rode Together
    new
  17. DE
    Stefan Konarske
    new
  18. DE
    Kir Royal – Aus dem Leben eines Klatschreporters
    new
  19. EN
    Eid Mubarak
    new
  20. DE
    Boidae
    new
  21. DE
    The Father
    new
  22. DE
    Isar Aerospace
    new
  23. DE
    Karat
    new
  24. DE
    Faroe Islands
    - 390%
  25. COMMONS
    Wiki Loves Folklore 2025
    + 5%
  26. DE
    Spectrum
    new
  27. DE
    Christoph Kramer
    new
  28. DE
    Gone Baby Gone
    new
  29. DE
    Rachel Ward
    new
  30. DE
    Ilia Malinin
    new
  31. DE
    Eric Clapton
    new
  32. DE
    Alessija Lause
    new
  33. DE
    Incel
    new
  34. DE
    Jörg Hartmann
    new
  35. DE
    Ralf Zacherl
    new
  36. DE
    Janina Fautz
    new
  37. DE
    Rudolf Steiner
    new
  38. DE
    deaths in 2025
    + 18%
  39. DE
    Herbert Dreilich
    new
  40. DE
    Oppenheimer
    + 7%
  41. DE
    Germany
    + 7%
  42. DE
    Stefanie Reinsperger
    new
  43. DE
    F9
    new
  44. DE
    Marco Rose
    new
  45. DE
    ChatGPT
    new
  46. DE
    Jumanji: The Next Level
    new
  47. DE
    Holland
    + 15%
  48. DE
    Thomas Müller
    new
  49. DE
    Katrin Bauerfeind
    - 274%
  50. DE
    Andøya Space
    new
Those data refers to the most visited pages on Wikipedia from Germany on Mar 30, 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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