Trends

Trending in The Netherlands
on Jan 27, 2025

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

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  1. EN
    DeepSeek
    + 83%
  2. NL
    Frank Heinen
    new
  3. NL
    Winnie Sorgdrager
    new
  4. NL
    Carola Schouten
    new
  5. NL
    Auschwitz
    + 44%
  6. NL
    ChatGPT
    + 14%
  7. NL
    Sierra Leone
    - 24%
  8. NL
    Signal
    + 9%
  9. NL
    Marwan Kenzari
    - 25%
  10. NL
    Helmet of Coţofeneşti
    - 26%
  11. NL
    The Holocaust
    new
  12. NL
    Radja Nainggolan
    new
  13. NL
    chlorate ion
    new
  14. NL
    Tom Roes
    new
  15. NL
    George Kooymans
    new
  16. NL
    Soundmixshow
    - 263%
  17. NL
    Elon Musk
    - 52%
  18. NL
    Dutch
    - 14%
  19. RU
    Yarus
    new
  20. EN
    Liang Wenfeng
    new
  21. NL
    Donald Trump
    - 50%
  22. NL
    Eddy de Wind
    new
  23. NL
    Suzanne Bosman
    new
  24. NL
    Netherlands
    - 16%
  25. EN
    Jevons paradox
    new
  26. NL
    March 23 Movement
    new
  27. EN
    Super Bowl LIX
    new
  28. NL
    DeepSeek
    new
  29. NL
    Lisa Loeb
    - 300%
  30. NL
    Brabant killers
    new
  31. EN
    skeuomorph
    new
  32. NL
    Cunobeline
    new
  33. NL
    Vicky the Viking
    - 381%
  34. NL
    Herman van der Zandt
    new
  35. NL
    Marie Antoinette
    - 69%
  36. EN
    Donald Trump
    - 31%
  37. NL
    Phan Thị Kim Phúc
    new
  38. NL
    Sandra Phlippen
    - 153%
  39. EN
    The Night Agent
    - 40%
  40. NL
    Dacians
    new
  41. NL
    Jeanine Hennis-Plasschaert
    new
  42. NL
    Greenland
    new
  43. EN
    Julius Maada Bio
    - 86%
  44. NL
    Mylou Frencken
    new
  45. NL
    Dacia
    new
  46. NL
    Golden Earring
    new
  47. EN
    list of Super Bowl champions
    new
  48. NL
    Hermes House Band
    new
  49. NL
    Rwanda
    new
  50. NL
    Jenning De Boo
    - 125%
Those data refers to the most visited pages on Wikipedia from The Netherlands on Jan 27, 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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