Oak Park and River Forest High School

Illinois · 75 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

Ernest Hemingway b. 1899	Dan Castellaneta b. 1957	Christopher Bridges b. 1977
Ray Kroc b. 1902	Walter Burley Griffin b. 1876	Mary Elizabeth Mastrantonio b. 1958
Ted Levine b. 1957	Charles Simic b. 1938	Kathy Griffin b. 1960
Chadwick Trujillo b. 1973	Anna Louise Strong b. 1885	Carol Shields b. 1935

Occupations

Most common

Occupation	% of its alumni	People
writer	16.9%	14
actor	15.4%	9
American football player	13.9%	13
television actor	11.2%	7
journalist	10.7%	9
musician	10.6%	6
film actor	9.7%	6
screenwriter	7.9%	6
basketball player	7.5%	5
novelist	7.2%	6
comedian	7.1%	4
composer	6.3%	4
songwriter	5.3%	3
university professor	5.0%	5
singer	5.0%	3

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 rate	People
comedian	5.5×	4
poet	4.1×	4
novelist	3.8×	6
writer	2.7×	14
journalist	2.5×	9
university professor	2.3×	5
musician	2.2×	6
songwriter	1.9×	3
screenwriter	1.8×	6
composer	1.8×	4
businessperson	1.8×	4

Awards

Most common

Award	% of its alumni	People
Guggenheim Fellowship	4.0%	4

Most overrepresented

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

Award	× the national rate	People
Guggenheim Fellowship	2.9×	4

Sports

Most common

Sport	% of its alumni	People
American football	13.9%	13
basketball	7.5%	5

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 rate	People

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.