← Fame through time2024
2024
Who the world actually read about in 2024 - readers across every language edition we measure, whoever they were and whenever they lived.
Most read
Who people actually looked up in 2024, across every language edition we measure.
- 1
Kamala Harris31.6M - 2
Donald Trump29.2M - 3
Taylor Swift20.6M - 4
Elon Musk20.5M - 5
Cristiano Ronaldo18.6M - 6
Joe Biden16.4M - 7
J. D. Vancenot measured14.9M - 8
Sean Combs14.7M - 9
Liam Paynenot measured14M - 10
Robert F. Kennedy Jr.13.9M - 11
Lionel Messi13.3M - 12
Jimmy Carter13.1M - 13
Sabrina Carpenter12.9M - 14
J. Robert Oppenheimer12.8M - 15
Vladimir Putin12.5M - 16
Tim Walz12.2M - 17
Sydney Sweeneynot measured11.8M - 18
Mike Tyson11.6M - 19
Lamine Yamalnot measured11.4M - 20
Simone Biles11.1M - 21
Chappell Roannot measured10.9M - 22
Imane Khelifnot measured10.8M - 23
Napoleon10.4M - 24
O. J. Simpson10.4M
- 25
Cleopatra10.2M
Lived then
The most notable people whose working lives fell in 2024, ranked where coverage and readership agree.
- 1
Taylor Swift1 decades - 2
IShowSpeednot measured- - 3
Alexandria Ocasio-Cortez0 decades - 4
Daniel Radcliffe1 decades - 5
Dakota Johnsonnot measured- - 6
Hayden Panettiere0 decades - 7
Lily Collins0 decades - 8
Nicholas Hoult0 decades - 9
Taron Egerton0 decades - 10
Elizabeth Olsennot measured- - 11
Thomas Müllernot measured- - 12
Nina Dobrev0 decades - 13
Brie Larsonnot measured- - 14
Liam Paynenot measured- - 15
Chris Brownnot measured- - 16
Gareth Balenot measured- - 17
Pierre-Emerick Aubameyangnot measured- - 18
Lily James0 decades - 19
Jessie Buckley0 decades - 20
Joe Jonas0 decades - 21
Gabriel Attal0 decades - 22
Tamannaah Bhatianot measured- - 23
James Harden0 decades - 24
Daniel Ricciardo0 decades - 25
SZAnot 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.