Trends

Trending in Sweden
on Apr 27, 2024

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

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Image credits: CC BY-SA 3.0 A.Savin
  1. SV
    Baa, Baa, Black Sheep
    new
  2. SV
    Olle Adolphson
    + 86%
  3. SV
    Vyborg
    new
  4. SV
    Ada Lovelace
    new
  5. SV
    Miriam Bryant
    new
  6. SV
    Battle of the Neva
    new
  7. SV
    Nyen
    new
  8. SV
    Baby Reindeer
    + 11%
  9. SV
    Linus Eklund Adolphson
    new
  10. SV
    Veal Oscar
    new
  11. SV
    Neva
    new
  12. SV
    Moonica Mac
    new
  13. SV
    The Gipsy Princess
    new
  14. SV
    Edvin Adolphson
    new
  15. SV
    Category:Operettas
    new
  16. SV
    Tony Olsson
    + 7%
  17. SV
    list of operas by title
    new
  18. EN
    Richard Gadd
    + 14%
  19. EN
    Arne Slot
    - 32%
  20. SV
    Walpurgis Night
    - 15%
  21. SV
    Per Morberg
    - 135%
  22. SV
    Malexander murders
    stable
  23. SV
    Richard Herrey
    new
  24. SV
    list of rivers of Norway
    new
  25. SV
    Carl Thunberg
    + 4%
  26. SV
    Cornelis Vreeswijk
    new
  27. EN
    Charles Whitman
    new
  28. EN
    Pornhub
    stable
  29. SV
    Dynasty
    new
  30. SV
    Lars Norén
    - 67%
  31. SV
    Kristina Adolphson
    new
  32. SV
    Louis Herrey
    new
  33. SV
    Deliver Me
    + 20%
  34. EN
    Baby Reindeer
    + 15%
  35. SV
    Kristiansand
    new
  36. SV
    Viborg
    new
  37. SV
    Herreys
    new
  38. SV
    Nava Mau
    stable
  39. SV
    Richard Gadd
    + 28%
  40. SV
    Lesotho
    new
  41. SV
    Linn Berggren
    - 29%
  42. SV
    Fort Boyard
    new
  43. SV
    Bryan Adams
    new
  44. SV
    Bäckström
    - 13%
  45. SV
    Croatia
    new
  46. SV
    Johnny Cash
    new
  47. SV
    Category:Swedish operettas
    new
  48. SV
    Jackie Arklöv
    stable
  49. SV
    Rögle BK
    new
  50. SV
    palladium
    new
Those data refers to the most visited pages on Wikipedia from Sweden on Apr 27, 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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