Trends

Trending in Germany
on Feb 13, 2024

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

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  1. DE
    Pablo Grant
    - 33%
  2. DE
    Pornhub
    - 38%
  3. DE
    Taylor Swift
    - 169%
  4. DE
    list of longest cantilever bridges
    stable
  5. DE
    Travis Kelce
    - 184%
  6. DE
    Valentine's Day
    new
  7. DE
    Carnival
    - 41%
  8. DE
    Janina Hettich
    new
  9. DE
    Beate Klarsfeld
    new
  10. DE
    Hey ho, nobody home
    new
  11. DE
    Kelvin Kiptum
    - 211%
  12. EN
    Pornhub
    - 31%
  13. DE
    Kaja Kallas
    new
  14. DE
    Sabrina Amali
    new
  15. DE
    Super Bowl
    - 507%
  16. DE
    Warmduscher
    new
  17. DE
    Patrick Mahomes
    - 293%
  18. DE
    February 13
    new
  19. DE
    xHamster
    - 5%
  20. DE
    deaths in 2024
    - 19%
  21. DE
    AC/DC
    - 39%
  22. DE
    ChatGPT
    new
  23. DE
    Griselda Blanco
    - 19%
  24. DE
    Forty-Eighters
    new
  25. DE
    Toni Kroos
    new
  26. DE
    Bombing of Dresden
    new
  27. DE
    Super Bowl LVIII
    - 457%
  28. EN
    Taylor Swift
    - 167%
  29. DE
    Kansas City Chiefs
    - 305%
  30. DE
    Atze Schröder
    new
  31. DE
    Linda Teuteberg
    new
  32. DE
    Mai Thi Nguyen-Kim
    new
  33. DE
    Germany
    new
  34. DE
    Slow West
    new
  35. DE
    Usher
    - 284%
  36. DE
    flame arrester
    new
  37. DE
    Caroline Peters
    new
  38. DE
    Yellowstone
    new
  39. DE
    Heat
    new
  40. DE
    Shrove Tuesday
    new
  41. DE
    George Foreman
    new
  42. DE
    Kurt Georg Kiesinger
    new
  43. DE
    Jason Kelce
    - 99%
  44. DE
    Robbie Williams
    new
  45. DE
    Volker Weininger
    - 279%
  46. DE
    Ash Wednesday
    new
  47. DE
    Ein Reihenhaus steht selten allein
    new
  48. DE
    Clara Tice
    - 259%
  49. DE
    Ronin
    - 169%
  50. DE
    XNXX.com
    new
Those data refers to the most visited pages on Wikipedia from Germany on Feb 13, 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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