Trends

Trending in Germany
on Oct 17, 2024

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

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  1. DE
    Liam Payne
    + 81%
  2. DE
    One Direction
    + 92%
  3. DE
    Cheryl
    + 91%
  4. EN
    Liam Payne
    + 66%
  5. DE
    Yahya Sinwar
    new
  6. DE
    Dieter Hallervorden
    new
  7. DE
    London Beer Flood
    new
  8. DE
    list of longest cantilever bridges
    - 1%
  9. DE
    Harry Styles
    new
  10. DE
    Tim Kamrad
    new
  11. DE
    Pride & Prejudice
    new
  12. FA
    Yahya Sinwar
    new
  13. DE
    Zayn Malik
    new
  14. DE
    The Mummy
    new
  15. DE
    Michael Karr
    new
  16. DE
    Niall Horan
    new
  17. DE
    Andreas Audretsch
    + 40%
  18. EN
    Cheryl
    new
  19. DE
    Thomas Tuchel
    - 148%
  20. DE
    Hans Heyer
    new
  21. DE
    Lake Burley Griffin
    new
  22. DE
    Louis Tomlinson
    new
  23. DE
    Günther Jauch
    new
  24. EN
    One Direction
    new
  25. DE
    Buddenbrook syndrome
    new
  26. DE
    deaths in 2024
    + 5%
  27. EN
    Yahya Sinwar
    new
  28. DE
    Amanita phalloides
    - 61%
  29. DE
    Lyle and Erik Menéndez
    - 2%
  30. DE
    Frédéric Chopin
    new
  31. DE
    October 17
    new
  32. DE
    Robert Kempner
    new
  33. DE
    Elyas M'Barek
    new
  34. DE
    Gülcan Kamps
    new
  35. DE
    Alison Hargreaves
    new
  36. DE
    Ashley Cole
    new
  37. DE
    Elisa Schlott
    - 11%
  38. DE
    ChatGPT
    - 2%
  39. DE
    diphtheria
    - 190%
  40. DE
    Pride and Prejudice
    new
  41. DE
    Keira Knightley
    new
  42. DE
    Garry Kasparov
    new
  43. DE
    Hilde Coppi
    new
  44. DE
    Destination Gobi
    - 110%
  45. DE
    Jimmy Carter
    new
  46. DE
    Germany
    - 4%
  47. DE
    Pornhub
    stable
  48. DE
    kunstschrank
    new
  49. DE
    Mitzi Gaynor
    new
  50. DE
    Fête des Vignerons
    new
Those data refers to the most visited pages on Wikipedia from Germany on Oct 17, 2024.
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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