Zoot Suit

Summary: When barrio leader Henry Reyna and his friends are unjustly convicted on circumstantial evidence, activist lawyers Alice Bloomfield and George Shearer fight the blatant racially motivated miscarriage of justice to win them their f...

Release Date: January 01, 1982

Genres: Drama, Musical

Director: Luis Valdez

Writer: Luis Valdez

Runtime: 1 h 43 min

MPAA: R

Production: Universal Pictures

Country: United States

Language: English

Movie budget: $ 2,700,000

Domestic: $ 3,256,082

Box office:

Budget:$2.7MDomestic:$3.3MWorldwide:$3.3M

Adaptation/remake:

adaptation directed by original author, based on play

Possible Big Business:

Production:

Universal Pictures

19%

The Rotten Tomatoes audience rated this 19% higher than the critics.

55%74%

No Metacritic ratings imported yet.

28%44%

28% of the Stars & Main Cast are Female.

44% of the Stars & Main Cast are "diverse."

White56.25%Latino43.75%

N/A

Possibly woke elements:

prejudice,race relations,discrimination,racism,social justice,civil rights

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

55%74%

IMDb:

Moviemeter:

OFDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Latino	Black	Total	Visuals	Info
Forebears	2	1	1	4
Ethnic	1			1		This is the most reliable data source for accurate ethnic breakdowns of famous people. Often the information is crowdsourced by users and they cite all their sources (family trees, obituaries, census archives, etc.) on the bottom of the page. The only issue is converting their ambiguous and inconsistent verdicts into quantifiable variables. Source: https://ethnicelebs.com/
Surname		1		1		A third party free program that uses US Census data to create an algorithm that analyzes surnames and guesses what ethnicity the person is. Obviously there are issues with this data set such as African Americans who have the last names of their ancestors' slave owner. However, when no other data set is available, this can give a rough estimate and expand the data pool for the less important cast members with no IMDb or TMDb image. Please consider downloading their source code via GitHub to verify the accuracy of our data set, and to peer review our conclusions. Source: https://pypi.org/project/ethnicolr/
Total	3	2	1	6
Cast Percentages	50%	33.33%	16.67%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":50,"color":"#2b908f","sliced":true,"selected":true},{"name":"Latino","y":33.33,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Black","y":16.67,"color":"#f45b5b","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2000) Percentage	69.1%	12.5%	12.3%		{"name":"U.S. Population (2000)","series":[{"name":"White","y":69.1,"color":"#2b908f"},{"name":"Arab","y":0.42,"color":"#DF5353"},{"name":"Asian","y":4.23,"color":"#90ee7e"},{"name":"Black","y":12.3,"color":"#f45b5b"},{"name":"Indian","y":0.6,"color":"#7798BF"},{"name":"Indigenous","y":0.9,"color":"#aaeeee"},{"name":"Latino","y":12.5,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":3.96,"color":"#55BF3B"},{"name":"Jewish","y":1.85,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2000) Representation	-19.1	+20.83	+4.37		{"name":"U.S. Population (2000)","series":[["White",69.1],["Latino",12.5],["Black",12.3]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Latino","y":33.33,"color":"#eeaaee"},{"name":"Black","y":16.67,"color":"#f45b5b"}]}
U.S. Buying Power (2000) Percentage	81.25%	6.26%	7.72%		{"name":"U.S. Buying Power (2000)","series":[{"name":"White","y":6413300000000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":276400000000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":609100000000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":40300000000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":494000000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":60300000000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	-31.25	+27.07	+8.95		{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Latino",6.26],["Black",7.72]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Latino","y":33.33,"color":"#eeaaee"},{"name":"Black","y":16.67,"color":"#f45b5b"}]}
U.S. Average Individual Income (2018) Percentage	75.87%	6.17%	9.09%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":12144108098173,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":824634511592,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1455344108965,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":113491133579,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":987568438500,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":481516474810,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	-25.87	+27.16	+7.58		{"name":"U.S. Average Individual Income (2018)","series":[["White",75.87],["Latino",6.17],["Black",9.09]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Latino","y":33.33,"color":"#eeaaee"},{"name":"Black","y":16.67,"color":"#f45b5b"}]}
World population (2000) Percentage	16.5%	5.7%	11.38%		{"name":"World population (2000) ","series":[{"name":"Mixed \/ Other","y":11436800456,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":34744377678,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":8270872610,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":100475169896,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":69307328976,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":208306697934,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":46425575461,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":127997210512,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2067367466,"color":"#ff0066","sliced":true,"selected":true}],"prefix":""}	NOTE: ZR is the first organization to ever create a global buying power divided by race. Essentially we just took data from CIA.gov FactBook, UN Population Estimates, and The World Bank's Population Estimates / Purchasing Power Parity Per Capita.
World population (2000) Representation	+33.5	+27.63	+5.29		{"name":"World population (2000) ","series":[["White",16.5],["Latino",5.7],["Black",11.38]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Latino","y":33.33,"color":"#eeaaee"},{"name":"Black","y":16.67,"color":"#f45b5b"}]}
World Buying Power Percentage	36.48%	9.35%	6.38%		{"name":"World Buying Power","series":[{"name":"White","y":3010602822170000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Latino","y":771525888400000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Jewish","y":91700962050000,"color":"#ff0066","sliced":true,"selected":true},{"name":"Black","y":526264226360000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indigenous","y":174285727610000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":148984454560000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Arab","y":526400066100000,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":2431392083750000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Indian","y":572687873900000,"color":"#7798BF","sliced":true,"selected":true}],"prefix":"$"}	NOTE: ZR is the first organization to ever create a global buying power divided by race. Essentially we just took data from CIA.gov FactBook, UN Population Estimates, and The World Bank's Population Estimates / Purchasing Power Parity Per Capita.
World Buying Power Representation	+13.52	+23.98	+10.29		{"name":"World Buying Power","series":[["White",36.48],["Latino",9.35],["Black",6.38]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Latino","y":33.33,"color":"#eeaaee"},{"name":"Black","y":16.67,"color":"#f45b5b"}]}
Notes		Many Latinos check "White" or "Other" on the Census. So this overlaps with "Mixed" race and "White." Also, when there was a discrepancy with the percentage listed on the Wikipedia table and our calculated numbers, the Wiki table's numbers were used. Likewise, when the population total was missing from the Census pdf, the estimate was calculated using the percentage from the Wiki table. NOTE: It turns out that the reason America doesn't have a separate "Latino" race is because the League of Latin American Citizens protested against discrimination towards Mexicans and got themselves to legally be considered "White." Check the research links in our Google Doc for more info.

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Zoot Suit

Stars:

Supporting cast:

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