Trends

Trending in The Netherlands
on Apr 14, 2025

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

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  1. NL
    Petra Laseur
    - 19%
  2. NL
    Mathieu van der Poel
    - 36%
  3. NL
    ChatGPT
    + 15%
  4. NL
    Pieter Jan Hagens
    - 55%
  5. NL
    Marcel Veenendaal
    new
  6. NL
    Sam Hagens
    + 29%
  7. NL
    Leo Beenhakker
    - 253%
  8. NL
    Merel Laseur
    - 21%
  9. NL
    Dick Schoof
    + 32%
  10. NL
    Mary Dresselhuys
    - 38%
  11. EN
    XXX
    stable
  12. NL
    Paris–Roubaix
    - 449%
  13. NL
    Maagdenhuis
    new
  14. EN
    Rory McIlroy
    new
  15. EN
    The Last of Us, season 2
    + 18%
  16. EN
    Aimee Lou Wood
    new
  17. NL
    NTR
    new
  18. NL
    Mario Vargas Llosa
    new
  19. NL
    classic cycle races
    - 109%
  20. EN
    ChatGPT
    new
  21. NL
    Cees Laseur
    - 36%
  22. NL
    The Last of Us
    new
  23. NL
    2025 The Passion
    new
  24. NL
    Easter
    + 14%
  25. NL
    Rory McIlroy
    new
  26. EN
    XXX
    - 89%
  27. NL
    Good Friday
    new
  28. NL
    Titanic
    new
  29. NL
    André Hazes
    - 94%
  30. EN
    Mario Vargas Llosa
    new
  31. EN
    The Last of Us
    new
  32. NL
    Maan de Steenwinkel
    new
  33. NL
    Martin Veltman
    - 71%
  34. EN
    list of Black Mirror episodes
    - 12%
  35. NL
    Netherlands
    new
  36. NL
    Vietnam War
    new
  37. NL
    Jean Marsh
    new
  38. EN
    Natalia Grace
    - 41%
  39. EN
    electronic spam
    new
  40. EN
    Nayib Bukele
    new
  41. NL
    Katy Perry
    new
  42. EN
    Lauren Sánchez
    new
  43. EN
    Grand Slam
    new
  44. EN
    Black Mirror
    new
  45. NL
    Dutch
    new
  46. NL
    Di-rect
    new
  47. NL
    The White Lotus
    new
  48. NL
    We Were Soldiers
    new
  49. EN
    Natalia
    - 86%
  50. NL
    Bodi Brusselers
    new
Those data refers to the most visited pages on Wikipedia from The Netherlands on Apr 14, 2025.
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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