← Fame through time2025
2025
Who the world actually read about in 2025 - readers across every language edition we measure, whoever they were and whenever they lived.
Most read
Who people actually looked up in 2025, across every language edition we measure.
- 1
Charlie Kirknot measured47M - 2
Ed Geinnot measured35.8M - 3
Donald Trump29.5M - 4
Elon Musk23.8M - 5
Zohran Mamdaninot measured22.5M - 6
Pope Francisnot measured20.2M - 7
Ozzy Osbourne20M - 8
Pope Leo XIV19M - 9
Jeffrey Epstein17.2M - 10
Cristiano Ronaldo15M - 11
Rob Reiner14.4M - 12
Karoline Leavittnot measured12.2M - 13
Sydney Sweeneynot measured12.1M - 14
Diane Keaton12M - 15
Jannik Sinnernot measured11.9M - 16
Bob Dylan11.8M - 17
Michelle Trachtenberg11.6M - 18
Gene Hackman11.6M - 19
Val Kilmer11.1M - 20
Pete Hegseth10.6M - 21
Lionel Messi9.9M - 22
Carlos Alcaraznot measured9.9M - 23
Vladimir Putin9.8M - 24
Millie Bobby Brown9.7M - 25
Taylor Swift9.7M
Lived then
The most notable people whose working lives fell in 2025, ranked where coverage and readership agree.
- 1
Jennifer Lawrence1 decades - 2
Emma Watson1 decades - 3
Charlie Kirknot measured- - 4
Margot Robbie0 decades - 5
Kristen Stewart1 decades - 6
Magnus Carlsen0 decades - 7
Diogo Jotanot measured- - 8
The Weeknd0 decades - 9
Mario Balotelli1 decades - 10
Rita Ora0 decades - 11
Liam Hemsworth0 decades - 12
Jordan Henderson0 decades - 13
Aaron Taylor-Johnson0 decades - 14
Toni Kroos1 decades - 15
Dev Patel0 decades - 16
Iggy Azalea0 decades - 17
Danny Welbeck0 decades - 18
Wojciech Szczęsnynot measured- - 19
David de Geanot measured- - 20
Kyle Walkernot measured- - 21
Sergio Péreznot measured- - 22
Bill Skarsgårdnot measured- - 23
Ciro Immobilenot measured- - 24
Kriti Sanonnot measured- - 25
Pooja Hegdenot measured-
How to read these rankings
- Attention, not reputation. A place on these lists reflects the attention a person still draws in the public record. It is not a judgement on the life.
- Fame in print. The curves show how often a name appeared in the books of each decade from 1800 to 2019, drawn from the Google Books Ngram corpus.
- Gaps are left as gaps. Where the record is too thin to be fair, we would rather show nothing than guess.