Trends

Trending in USA
on Jan 14, 2025

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

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  1. EN
    Pete Hegseth
    new
  2. EN
    Rachel Platten
    new
  3. EN
    Pentagón Jr.
    new
  4. EN
    Neil Gaiman
    + 52%
  5. EN
    Sam Darnold
    new
  6. EN
    Josie Totah
    + 13%
  7. EN
    Apple Network Server
    + 6%
  8. EN
    Robbie Williams
    - 23%
  9. EN
    Kevin O'Connell
    new
  10. EN
    deaths in 2025
    - 2%
  11. EN
    Tammy Duckworth
    new
  12. EN
    Matthew Stafford
    new
  13. EN
    Amanda Palmer
    new
  14. EN
    Deion Sanders
    new
  15. EN
    biggest ball of twine
    + 12%
  16. EN
    January 2025 Southern California wildfires
    - 25%
  17. EN
    ASEAN
    new
  18. EN
    Khyree Jackson
    new
  19. EN
    Markwayne Mullin
    new
  20. EN
    Brigham Young
    - 14%
  21. EN
    Mike Vrabel
    - 128%
  22. EN
    American Primeval
    - 18%
  23. EN
    Better Man
    - 39%
  24. EN
    Carrie Underwood
    new
  25. EN
    Jack Reed
    new
  26. EN
    Mike McCarthy
    - 2%
  27. EN
    Greenland
    - 3%
  28. EN
    Marianne Bachmeier
    new
  29. EN
    Sean McVay
    new
  30. EN
    Nosferatu
    - 50%
  31. EN
    Karla Sofía Gascón
    new
  32. EN
    list of Super Bowl champions
    - 5%
  33. EN
    Chris Shula
    new
  34. EN
    Xiaohongshu
    new
  35. EN
    Roger Wicker
    new
  36. EN
    Bad Bunny
    new
  37. EN
    Karen Bass
    - 21%
  38. EN
    Village People
    new
  39. EN
    Mount Takahe
    new
  40. EN
    Severance
    - 9%
  41. EN
    Bob Dylan
    - 43%
  42. EN
    Bo Burnham
    - 144%
  43. EN
    Landman
    - 55%
  44. EN
    Fénix
    new
  45. EN
    Portal:Current events
    - 3%
  46. EN
    Donald Trump
    new
  47. EN
    Mountain Meadows massacre
    - 12%
  48. EN
    Santa Ana winds
    - 43%
  49. EN
    Wordle
    - 3%
  50. EN
    Elon Musk
    new
Those data refers to the most visited pages on Wikipedia from USA on Jan 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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