Trends

Trending in USA
on Mar 30, 2025

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

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  1. EN
    1989 Tiananmen Square protests and massacre
    + 36%
  2. EN
    Richard Chamberlain
    new
  3. EN
    Mikey Madison
    new
  4. EN
    A Working Man
    + 19%
  5. EN
    Cooper Flagg
    new
  6. EN
    Bob Dylan
    + 16%
  7. EN
    Kon Knueppel
    new
  8. EN
    Natalia Grace
    - 1%
  9. EN
    Wesley Eure
    new
  10. EN
    Snow White
    - 2%
  11. EN
    Kelvin Sampson
    + 57%
  12. EN
    Adolescence
    + 10%
  13. EN
    Morgan Wallen
    new
  14. EN
    The Woman in the Yard
    - 16%
  15. EN
    Susie Wiles
    new
  16. EN
    Jon Scheyer
    new
  17. EN
    Eid al-Fitr
    new
  18. EN
    Todd Golden
    new
  19. EN
    Rachel Zegler
    - 8%
  20. EN
    Alysa Liu
    - 78%
  21. EN
    deaths in 2025
    + 9%
  22. EN
    Bruce Pearl
    + 32%
  23. COMMONS
    Wiki Loves Folklore 2025
    + 2%
  24. EN
    Ilia Malinin
    new
  25. EN
    Lauren Betts
    + 43%
  26. EN
    Johni Broome
    new
  27. EN
    Woody Guthrie
    + 12%
  28. EN
    MobLand
    new
  29. EN
    Min Woo Lee
    new
  30. EN
    Apple Network Server
    + 26%
  31. EN
    The Life List
    + 9%
  32. EN
    Holland
    + 11%
  33. EN
    Severance
    + 8%
  34. EN
    Anora
    new
  35. EN
    Pete Seeger
    + 10%
  36. EN
    Joan Baez
    + 15%
  37. EN
    The White Lotus, season 3
    + 23%
  38. EN
    Keith Hunter Jesperson
    + 14%
  39. EN
    Linda Lavin
    - 17%
  40. EN
    The White Lotus
    + 22%
  41. EN
    Tom Izzo
    - 15%
  42. EN
    Maria Shriver
    new
  43. EN
    Elon Musk
    - 10%
  44. EN
    Charles Barkley
    new
  45. EN
    Greenland
    - 59%
  46. EN
    Grant McCasland
    new
  47. EN
    Mid-Century Modern
    - 22%
  48. EN
    Sofia Carson
    new
  49. EN
    Selena
    - 13%
  50. EN
    Myanmar
    - 36%
Those data refers to the most visited pages on Wikipedia from USA on Mar 30, 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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