Trends

Trending in Germany
on Mar 5, 2025

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

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  1. DE
    JD Vance
    - 84%
  2. DE
    list of longest cantilever bridges
    + 1%
  3. DE
    Ash Wednesday
    new
  4. DE
    Mariella Ahrens
    new
  5. DE
    The Accountant
    new
  6. DE
    Donald Trump
    - 6%
  7. COMMONS
    Wiki Loves Folklore 2025
    - 2%
  8. DE
    Happening
    new
  9. DE
    97th Academy Awards
    - 124%
  10. DE
    Markus
    new
  11. DE
    Elon Musk
    - 9%
  12. DE
    Al Green
    new
  13. DE
    March 5
    new
  14. DE
    Britannia Bridge
    new
  15. DE
    deaths in 2025
    - 13%
  16. DE
    Abor and Tynna
    + 13%
  17. DE
    Anora
    - 144%
  18. DE
    Lilli Jahn
    new
  19. DE
    Jonas Urbig
    new
  20. DE
    Lars Klingbeil
    new
  21. DE
    David Gandy
    new
  22. DE
    Martin Richenhagen
    new
  23. DE
    James Harrison
    - 89%
  24. DE
    Germany
    - 2%
  25. DE
    Priscilla Presley
    - 26%
  26. DE
    Gene Hackman
    - 5%
  27. DE
    Pope Francis
    - 10%
  28. DE
    Llanfairpwllgwyngyll
    new
  29. DE
    Friedrich Merz
    - 12%
  30. DE
    Adrien Brody
    - 36%
  31. DE
    Volodymyr Zelenskyy
    - 69%
  32. DE
    Daredevil: Born Again
    new
  33. DE
    Bob Dylan
    - 20%
  34. DE
    ChatGPT
    new
  35. DE
    Claudia Sheinbaum
    - 23%
  36. DE
    GoldenEye
    new
  37. DE
    2025 German federal election
    - 15%
  38. DE
    Georgina Chapman
    new
  39. DE
    Evelyn Lazar
    new
  40. DE
    Greenland
    new
  41. DE
    Pornhub
    new
  42. DE
    Michelle Trachtenberg
    - 50%
  43. DE
    Katharina Dröge
    new
  44. DE
    Elvis Presley
    new
  45. DE
    Canada
    new
  46. DE
    Mikey Madison
    - 154%
  47. DE
    ZDF
    new
  48. DE
    Michael Ballack
    new
  49. DE
    Joachim Gauck
    new
  50. DE
    The Brutalist
    - 73%
Those data refers to the most visited pages on Wikipedia from Germany on Mar 5, 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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