Trends

Trending in Germany
on Nov 8, 2023

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

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Image credits: CC BY-SA 4.0 Superbass
  1. DE
    Gil Ofarim
    - 24%
  2. DE
    Grenzlandring
    new
  3. DE
    All Is Lost
    new
  4. DE
    Margot Friedländer
    - 260%
  5. DE
    Pittacal
    new
  6. DE
    Arbre du Ténéré
    new
  7. DE
    Evan Ellingson
    - 188%
  8. DE
    Isabel Coursier
    new
  9. DE
    Loriot
    - 156%
  10. DE
    Elon Musk
    + 44%
  11. DE
    Rorschach Test
    new
  12. DE
    November 8
    new
  13. DE
    deaths in 2023
    + 10%
  14. DE
    René Benko
    new
  15. DE
    Gaza Strip
    + 7%
  16. DE
    (RS)-pentobarbital
    - 226%
  17. DE
    Judith Gerlach
    new
  18. DE
    Manon Roland
    new
  19. DE
    Israel
    - 13%
  20. DE
    Germany
    + 3%
  21. DE
    Third Söder cabinet
    new
  22. DE
    Rainer Erler
    new
  23. DE
    Beer Hall Putsch
    new
  24. DE
    periodic table
    - 4%
  25. DE
    Hans Meiser
    - 299%
  26. DE
    Looper
    new
  27. DE
    Pornhub
    - 1%
  28. DE
    Nauru
    new
  29. DE
    Kristallnacht
    new
  30. DE
    State of Palestine
    + 2%
  31. DE
    Johanna Gastdorf
    new
  32. DE
    November 9 in German history
    new
  33. DE
    Leni Riefenstahl
    new
  34. DE
    Sonja Zekri
    new
  35. DE
    Jens Söring
    - 24%
  36. DE
    Johann von Bülow
    - 192%
  37. DE
    Paula Schlier
    new
  38. DE
    Evelyn Hamann
    - 154%
  39. DE
    Robert Redford
    new
  40. DE
    Abi Ofarim
    - 35%
  41. DE
    belaying pin
    new
  42. DE
    Lorenz Snack-World
    new
  43. DE
    Hamas
    - 7%
  44. DE
    Amira Pocher
    - 21%
  45. DE
    Sahra Wagenknecht
    new
  46. DE
    Sabine Kuegler
    - 13%
  47. DE
    caliphate
    - 46%
  48. DE
    Robbie Williams
    new
  49. DE
    inland taipan
    new
  50. DE
    Generation Z
    new
Those data refers to the most visited pages on Wikipedia from Germany on Nov 8, 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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