Trends

Trending in Germany
on May 4, 2025

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

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  1. DE
    Pablo Grant
    new
  2. DE
    Elvis Presley
    new
  3. DE
    Jochen Mass
    new
  4. DE
    The Post
    new
  5. DE
    Elvis
    new
  6. DE
    list of longest cantilever bridges
    - 1%
  7. DE
    Mareike Sedl
    new
  8. DE
    Colonel Tom Parker
    new
  9. DE
    Lisa Marie Presley
    new
  10. DE
    A Simple Favor
    - 166%
  11. DE
    Priscilla Presley
    new
  12. DE
    Alexander Dobrindt
    new
  13. DE
    Watergate scandal
    new
  14. DE
    Austin Butler
    new
  15. DE
    Sırrı Süreyya Önder
    + 17%
  16. DE
    Hanna Reichel
    new
  17. DE
    Franz-Stefan Gady
    new
  18. DE
    Cornelia Poletto
    new
  19. DE
    Claudia Michelsen
    new
  20. DE
    Druzism
    new
  21. DE
    Lars Klingbeil
    new
  22. DE
    Star Wars Day
    new
  23. DE
    Oliver Bierhoff
    new
  24. DE
    Another Simple Favor
    - 42%
  25. DE
    Rona Özkan
    new
  26. DE
    Exterritorial
    + 2%
  27. DE
    Felicitas Woll
    new
  28. DE
    The Shallows
    new
  29. DE
    Blake Lively
    - 5%
  30. DE
    Gennaro Contaldo
    new
  31. DE
    Conclave
    + 6%
  32. DE
    Zhao Xintong
    new
  33. DE
    Sigmar Gabriel
    new
  34. DE
    Lady Gaga
    new
  35. DE
    Martina Ebm
    new
  36. DE
    Michel Strogoff
    new
  37. DE
    Anna Sgroi
    new
  38. DE
    Kent State shootings
    new
  39. DE
    conclave
    + 15%
  40. DE
    ChatGPT
    + 22%
  41. DE
    Kasalla
    + 23%
  42. DE
    Warren Buffett
    new
  43. DE
    Steven Spielberg
    new
  44. DE
    Josip Broz
    new
  45. DE
    I'm Not Stiller
    new
  46. DE
    deaths in 2025
    + 11%
  47. DE
    Salvator Mundi
    new
  48. DE
    Katja Lewina
    new
  49. TR
    Sırrı Süreyya Önder
    new
  50. DE
    Tessina
    new
Those data refers to the most visited pages on Wikipedia from Germany on May 4, 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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