← Fame through time2022
2022
Who the world actually read about in 2022 - readers across every language edition we measure, whoever they were and whenever they lived.
Most read
Who people actually looked up in 2022, across every language edition we measure.
- 1
Jeffrey Dahmer60.3M - 2
Elizabeth II48.1M - 3
Vladimir Putin34.4M - 4
Elon Musk30.4M - 5
Cristiano Ronaldo28.1M - 6
Lionel Messi26.7M - 7
Amber Heard22.1M - 8
Johnny Depp21.4M - 9
Elvis Presley17.8M - 10
Andrew Tate17.8M - 11
Kylian Mbappé17.1M - 12
Rishi Sunak16.8M - 13
Marilyn Monroe15.3M - 14
George VI15.1M - 15
Diana, Princess of Wales14.5M - 16
Tom Cruise14.1M - 17
Jenna Orteganot measured13.9M - 18
Anne Heche13.6M - 19
Liz Truss12.4M - 20
Prince Philip, Duke of Edinburgh12.2M - 21
Princess Margaret, Countess of Snowdon11.7M - 22
Elizabeth Holmesnot measured11.4M - 23
Zendaya11.2M - 24
Donald Trump11M - 25
Queen Victorianot measured11M
Lived then
The most notable people whose working lives fell in 2022, ranked where coverage and readership agree.
- 1Lionel Messi1 decades
- 2
Novak Djokovic1 decades - 3
Elliot Pagenot measured- - 4
Hilary Duff1 decades - 5
Blake Lively0 decades - 6
Kendrick Lamar1 decades - 7
Zac Efron1 decades - 8
Karim Benzema1 decades - 9
Gerard Piqué1 decades - 10
Maria Sharapova2 decades - 11
Michael B. Jordan0 decades - 12
Jamie Vardy0 decades - 13
Andy Murray1 decades - 14
Karen Gillan0 decades - 15
Cesc Fàbregas1 decades - 16
Kesha3 decades - 17
Sebastian Vettel1 decades - 18
Evan Rachel Wood0 decades - 19
Tom Felton0 decades - 20
Edinson Cavani0 decades - 21
Ronda Rousey0 decades - 22
Miles Teller0 decades - 23
Shraddha Kapoor0 decades - 24
Evan Petersnot measured- - 25
Julian Nagelsmann0 decades - 26
Chelsea Manning1 decades - 27
Lee Min-ho0 decades - 28
Oleksandr Usyknot measured- - 29
Rosie Huntington-Whiteley0 decades - 30
Cynthia Erivo0 decades - 31
Gonzalo Higuaín1 decades - 32
Nico Hülkenbergnot measured- - 33
Daniel Noboanot measured- - 34
Frank Ocean0 decades - 35
Wiz Khalifa0 decades - 36
Rob Jettennot measured- - 37
David Luiz0 decades - 38
Rose Leslie0 decades - 39
Arturo Vidal1 decades - 40
Samir Nasri1 decades - 41
Samantha Ruth Prabhunot measured- - 42
Hikaru Nakamura0 decades - 43
Candice Kingnot measured- - 44
Pedronot measured- - 45
Joe Hartnot measured- - 46
Sonakshi Sinha0 decades - 47
Khaby Lamenot measured- - 48
Sidney Crosby1 decades - 49
Ashley Greene0 decades - 50
Darren Criss0 decades - 51
Ana Ivanovic0 decades - 52
Sami Khedira1 decades - 53
Aaron Carter0 decades - 54
Kim Yo-jong0 decades - 55
Kevin-Prince Boateng0 decades - 56
Dimitri Payet0 decades - 57
Varun Dhawan0 decades - 58
Polina Gagarina0 decades - 59
Renate Reinsvenot measured- - 60
Shay Mitchell0 decades - 61
Kevin Jonas0 decades - 62
Dan Reynoldsnot measured- - 63
Jon Jonesnot measured- - 64
Amy Macdonald0 decades - 65
Leonardo Bonucci0 decades - 66
Genelia D'Souzanot measured- - 67
Mikel John Obinot measured- - 68
Hatem Ben Arfa0 decades - 69
Jesse McCartney0 decades - 70
Bray Wyatt0 decades - 71
Jon Ossoffnot measured- - 72
Liu Yifei0 decades - 73
Blaise Matuidi1 decades - 74
Rohit Sharmanot measured- - 75
Katie Leung0 decades - 76
Becky Lynchnot measured- - 77
Arda Turan0 decades - 78
Joss Stone0 decades - 79
Ed Westwick0 decades - 80
T.O.Pnot measured- - 81
iago Aspasnot measured- - 82
Medhi Benatianot measured- - 83
Sergio Romeronot measured- - 84
Lashana Lynchnot measured- - 85
Sarah Gadonnot measured- - 86
Tyler Hoechlin0 decades - 87
Marouane Fellaini0 decades - 88
Brooklyn Decker0 decades - 89
Danielle Panabaker0 decades - 90
Ji Chang-wooknot measured- - 91
Sarah Snooknot measured- - 92
Taapsee Pannunot measured- - 93
AJ Leenot measured- - 94
Colin Kaepernicknot measured- - 95
Dries Mertens0 decades - 96
Gervinho0 decades - 97
Mackenzie Davisnot measured- - 98
Marek Hamšíknot measured- - 99
Tove Lo0 decades - 100
Mousa Dembélé0 decades
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.