Trends

Trending in The Netherlands
on Apr 3, 2024

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

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  1. NL
    Goedele Liekens
    new
  2. EN
    Pornhub
    + 1%
  3. NL
    Alex Kroes
    - 273%
  4. NL
    Hans Vijlbrief
    new
  5. NL
    ChatGPT
    + 3%
  6. NL
    Nancy Coolen
    new
  7. NL
    David Cohen
    - 41%
  8. NL
    teardrop tattoo
    new
  9. EN
    Hunter Schafer
    new
  10. NL
    Domino Day
    new
  11. NL
    Judenrat Amsterdam
    - 32%
  12. NL
    Pirates of the Caribbean
    new
  13. NL
    Merijn Zeeman
    new
  14. NL
    Virrie Cohen
    - 57%
  15. NL
    xHamster
    + 4%
  16. NL
    Taiwan
    new
  17. NL
    Anis Hadj Moussa
    new
  18. EN
    The Three-Body Problem
    - 18%
  19. NL
    Facebook
    + 14%
  20. NL
    Netherlands
    + 10%
  21. EN
    Broma
    - 75%
  22. NL
    Fockeline Ouwerkerk
    new
  23. NL
    Melody Klaver
    new
  24. NL
    solar eclipse of April 8, 2024
    + 22%
  25. EN
    Pirates of the Caribbean
    new
  26. NL
    Richard Wagner
    new
  27. EN
    3 Body Problem
    - 12%
  28. NL
    Olga Zuiderhoek
    new
  29. NL
    Viktor Brand
    new
  30. NL
    Buckingham Palace
    new
  31. NL
    Abraham Asscher
    - 40%
  32. NL
    Jeanet van der Laan
    new
  33. NL
    April 3
    new
  34. NL
    Wierd Duk
    new
  35. NL
    Déjà Vu
    new
  36. NL
    Eric van 't Zelfde
    new
  37. EN
    Pirates of the Caribbean: Dead Man's Chest
    new
  38. EN
    Shōgun
    - 21%
  39. NL
    Bernard Arnault
    + 7%
  40. NL
    NATO
    new
  41. NL
    Jeanne Calment
    new
  42. NL
    Taylor Swift
    new
  43. NL
    Kajsa Ollongren
    new
  44. EN
    From
    - 8%
  45. NL
    Mathieu van der Poel
    - 85%
  46. NL
    Jizz Hornkamp
    new
  47. NL
    T-Spoon
    new
  48. NL
    Desray
    new
  49. NL
    Sophie Hilbrand
    new
Those data refers to the most visited pages on Wikipedia from The Netherlands on Apr 3, 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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