Trends

Trending in USA
on Dec 16, 2023

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

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  1. EN
    ketamine
    + 23%
  2. EN
    Leave the World Behind
    + 12%
  3. DE
    Cats
    new
  4. EN
    Alan Ritchson
    + 28%
  5. EN
    Nick Mullens
    new
  6. EN
    Jann Mardenborough
    new
  7. EN
    Princess Margaret, Countess of Snowdon
    + 36%
  8. EN
    deaths in 2023
    - 9%
  9. EN
    Matthew Perry
    + 47%
  10. EN
    Wonka
    + 7%
  11. EN
    Reacher
    + 21%
  12. EN
    raindrop cake
    - 1%
  13. EN
    Andre Braugher
    - 117%
  14. EN
    Susan Lucci
    new
  15. EN
    The Family Plan
    new
  16. EN
    Jake Browning
    new
  17. EN
    Malcolm Caldwell
    new
  18. EN
    Elizabeth II
    + 31%
  19. EN
    Macaulay Culkin
    + 21%
  20. EN
    Dolly Parton
    new
  21. EN
    Mayim Bialik
    new
  22. EN
    Brandon Staley
    - 286%
  23. EN
    Jake Paul
    new
  24. EN
    Barbie
    new
  25. EN
    Ruth Handler
    new
  26. EN
    Von Erich family
    + 4%
  27. EN
    William, Prince of Wales
    + 23%
  28. EN
    Serinda Swan
    new
  29. EN
    Rudy Giuliani
    new
  30. EN
    Timothée Hal Chalamet
    + 16%
  31. EN
    Benny Blanco
    - 35%
  32. EN
    Teddy Bridgewater
    new
  33. EN
    Taylor Swift
    - 8%
  34. EN
    YouTube
    + 11%
  35. EN
    Walter Kirn
    new
  36. EN
    Tiger Woods
    new
  37. EN
    Ben Cardin
    new
  38. EN
    Tony Blair
    new
  39. EN
    Godzilla Minus One
    + 14%
  40. EN
    Gran Turismo
    new
  41. EN
    Colby Covington
    - 3%
  42. EN
    Poor Things
    + 8%
  43. EN
    house cat
    new
  44. EN
    Cary Grant
    new
  45. EN
    Mary Kay Letourneau
    + 14%
  46. EN
    Tommy DeVito
    - 26%
  47. EN
    Julia Roberts
    new
  48. EN
    Catherine, Princess of Wales
    new
  49. EN
    May December
    + 9%
  50. EN
    Kerwin Frost
    new
Those data refers to the most visited pages on Wikipedia from USA on Dec 16, 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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