Trends

Trending in USA
on Nov 17, 2023

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

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  1. EN
    Cassie Ventura
    + 72%
  2. EN
    Jake Browning
    new
  3. EN
    Dana Carvey
    new
  4. EN
    Sean Combs
    new
  5. EN
    George Santos
    + 36%
  6. EN
    Dodi Fayed
    new
  7. EN
    Thanksgiving
    + 59%
  8. EN
    deaths in 2023
    + 2%
  9. EN
    Mira Murati
    new
  10. EN
    Sam Altman
    new
  11. EN
    Madame Web
    - 174%
  12. EN
    Cox–Zucker machine
    new
  13. EN
    Mohamed Al-Fayed
    new
  14. EN
    Jimmy Carter
    new
  15. EN
    Joe Burrow
    new
  16. EN
    Charissa Thompson
    new
  17. EN
    Ty Burrell
    - 34%
  18. EN
    The Ballad of Songbirds and Snakes
    + 47%
  19. EN
    Andre 3000
    + 46%
  20. EN
    The Marvels
    - 3%
  21. EN
    Diana, Princess of Wales
    new
  22. EN
    Taylor Swift
    - 22%
  23. EN
    Travis Kelce
    - 28%
  24. EN
    Duane Martin
    - 115%
  25. EN
    raindrop cake
    - 9%
  26. EN
    Snoop Dogg
    + 38%
  27. EN
    Madame Web
    - 197%
  28. EN
    Lamar Jackson
    new
  29. EN
    Odell Beckham Jr.
    new
  30. EN
    The Killer
    - 11%
  31. EN
    Wikipedia
    - 1%
  32. EN
    Rachel Anne Zegler
    new
  33. EN
    Nicole Kidman
    - 18%
  34. EN
    Shakur Stevenson
    new
  35. EN
    Saltburn
    + 10%
  36. EN
    The Creator
    + 4%
  37. EN
    Donald Trump
    stable
  38. EN
    Napoleon
    + 18%
  39. EN
    YouTube
    - 6%
  40. EN
    Matthew Perry
    - 43%
  41. EN
    Joe Biden
    - 11%
  42. EN
    Matt Rife
    - 55%
  43. EN
    Monarch: Legacy of Monsters
    new
  44. EN
    Scott Pilgrim Takes Off
    new
  45. KO
    Sex
    new
  46. EN
    Israel–Hamas war
    - 9%
  47. EN
    Osama bin Laden
    new
  48. EN
    Joe Flacco
    new
  49. EN
    Killers of the Flower Moon
    + 9%
  50. EN
    Outlook.com
    - 30%
Those data refers to the most visited pages on Wikipedia from USA on Nov 17, 2023.
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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