High school outcomes
Occupations Employers Awards Sports

Los Angeles High School

116 alumni prominent enough for Wikipedia. Tables below need at least 3 people before a trait can appear.

All of history equally The last decade or two Recent decades The last half-century

The era pills change the weighting: "recent decades" (the default) counts someone who graduated around 2010 far more than someone from 1940.

Prominent alumni

Ray Bradbury b. 1920Charles Bukowski b. 1920John Cage b. 1912
Willis Lamb b. 1913George Takei b. 1937Anne Baxter b. 1923
Charles Francis Richter b. 1900Chloé Zhao b. 1982Piper Laurie b. 1932
Anna May Wong b. 1905Bessie Love b. 1898Harry Shearer b. 1943

Occupations

Most common

Occupation % of its alumni People
actor
28.6%
29
television actor
18.0%
17
film actor
16.8%
19
screenwriter
15.7%
11
American football player
15.4%
12
film director
11.8%
5
film producer
11.3%
6
writer
10.7%
16
voice actor
7.9%
4
composer
7.4%
7
stage actor
7.0%
10
singer
6.0%
6
musician
5.2%
6
lawyer
4.7%
9
journalist
3.8%
7

Most overrepresented

"3×" = this school's noted alumni are three times as likely to have this occupation as noted high-school alumni nationally.
Occupation × the national ratePeople
poet 3.9× 5
tennis player 3.8× 4
playwright 2.8× 3
screenwriter 2.7× 11
film producer 2.6× 6
film director 2.4× 5
voice actor 2.2× 4
pianist 2.2× 4
stage actor 2.0× 10
novelist 2.0× 5
actor 1.8× 29
composer 1.8× 7
film actor 1.8× 19
writer 1.7× 16
television actor 1.7× 17

Awards

Most common

Most overrepresented

"3×" = this school's noted alumni are three times as likely to have this award as noted high-school alumni nationally.

Sports

Most common

Sport % of its alumni People
American football
15.4%
12
baseball
3.7%
6
basketball
2.9%
3
tennis
2.6%
4
athletics
1.4%
3

Most overrepresented

"3×" = this school's noted alumni are three times as likely to have this sport as noted high-school alumni nationally.
Sport × the national ratePeople
tennis 3.7× 4

Notes for the methodologically curious. Shares and multiples use recency weighting (people who came of age recently count more, per the era pills) and shrinkage: each school gets 20 virtual alumni at national rates, so a school with 4 noted alumni can't post a 200× multiple. High-school data on Wikidata is far sparser than college data — a missing trait usually means Wikipedia editors didn't record it, not that no alumnus has it.