Trends

Trending in Germany
on Nov 3, 2023

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

Share
  1. DE
    Jutta Müller
    - 69%
  2. DE
    Lisa Franchetti
    new
  3. DE
    Sam Bankman-Fried
    new
  4. DE
    War of the Worlds
    new
  5. DE
    Shirin David
    + 51%
  6. DE
    Israel
    - 5%
  7. DE
    Gaza Strip
    - 13%
  8. DE
    Katerina Jacob
    new
  9. DE
    René Benko
    new
  10. DE
    Jens Söring
    - 5%
  11. DE
    Olympe de Gouges
    new
  12. DE
    Rita Ora
    new
  13. DE
    Hezbollah
    new
  14. DE
    Anne Gesthuysen
    new
  15. DE
    Ken Mattingly
    new
  16. DE
    The Beatles
    - 22%
  17. DE
    Soviet occupation of Bessarabia and Northern Bukovina
    new
  18. DE
    Hamas
    - 17%
  19. DE
    Katarina Witt
    - 92%
  20. DE
    deaths in 2023
    - 6%
  21. DE
    Harsewinkel
    new
  22. DE
    Frank Plasberg
    new
  23. DE
    November 3
    new
  24. DE
    Elmar Wepper
    - 159%
  25. DE
    Matthew Perry
    - 41%
  26. DE
    Santiano
    new
  27. DE
    Florian Künstler
    new
  28. DE
    State of Palestine
    - 4%
  29. DE
    Karen Böhne
    new
  30. DE
    Gabriele Seyfert
    - 86%
  31. DE
    Never Look Away
    - 188%
  32. DE
    Hassan Nasrallah
    new
  33. DE
    John Lennon
    - 48%
  34. DE
    Deadpool 2
    new
  35. DE
    Eddie Murphy
    new
  36. DE
    Olaf Schubert
    new
  37. DE
    Annett Louisan
    new
  38. DE
    Germany
    - 5%
  39. DE
    Marika Kilius
    new
  40. DE
    Pornhub
    - 3%
  41. DE
    Udo Lindenberg
    new
  42. DE
    Margot Friedländer
    new
  43. DE
    Tim Raue
    new
  44. DE
    Signa Holding
    new
  45. DE
    Carolin Kebekus
    - 36%
  46. DE
    Anwar El Ghazi
    new
  47. DE
    Palestine
    - 11%
  48. DE
    Claudia Obert
    new
  49. DE
    Esther Sedlaczek
    new
  50. DE
    Rudolf Augstein
    new
Those data refers to the most visited pages on Wikipedia from Germany on Nov 3, 2023.
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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