Trends

Trending in Sweden
on Nov 10, 2023

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

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  1. SV
    Isak Danielson
    new
  2. SV
    Peter Apelgren
    new
  3. SV
    Christopher Garplind
    new
  4. SV
    David Dencik
    new
  5. SV
    Emma Peters
    new
  6. SV
    Bo Sundström
    new
  7. SV
    Susanne Lanefelt
    new
  8. SV
    Jennifer Kücükaslan
    new
  9. SV
    Anna Mannheimer
    new
  10. SV
    St. Martin's Day
    new
  11. SV
    Emil Jensen
    new
  12. SV
    Bo Kaspers Orkester
    new
  13. SV
    Josefin Nilsson
    new
  14. SV
    Niclas Wahlgren
    new
  15. SV
    David Bowie
    new
  16. SV
    Jill Johnson
    new
  17. SV
    AC/DC
    new
  18. SV
    Jan Guillou
    - 164%
  19. SV
    Lena Sundström
    new
  20. SV
    Marie Nilsson Lind
    new
  21. SV
    Pekka Langer
    new
  22. SV
    rapid eye movement sleep
    new
  23. SV
    Örjan Ramberg
    new
  24. SV
    Linnea Henriksson
    new
  25. SV
    Olivia Lobato
    new
  26. SV
    Ronny Eriksson
    new
  27. SV
    Ainbusk
    new
  28. SV
    Orup
    new
  29. SV
    Hans-Gabriel Trolle-Wachtmeister
    + 22%
  30. SV
    Fatima Svendsen
    new
  31. SV
    Robbie Williams
    - 11%
  32. EN
    Begich Towers
    new
  33. EN
    The Killer
    new
  34. EN
    Isak Danielson
    new
  35. SV
    På spåret
    new
  36. SV
    Hamas
    - 12%
  37. SV
    Sarah Dawn Finer
    new
  38. SV
    Roony Bardghji
    - 725%
  39. SV
    Uno Svenningsson
    new
  40. EN
    Fields of Gold
    new
  41. SV
    Robert Oppenheimer
    new
  42. SV
    Kristallnacht
    - 240%
  43. SV
    Peter Rangmar
    new
  44. SV
    Haruki Murakami
    new
  45. EN
    Israel–Hamas war
    - 7%
  46. SV
    Sweden
    - 7%
  47. SV
    Evil
    - 20%
  48. SV
    list of På spåret episodes
    new
  49. SV
    Israel
    stable
  50. SV
    Idol 2023
    new
Those data refers to the most visited pages on Wikipedia from Sweden on Nov 10, 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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