Mahogany

Summary: Tracy is a black girl with no financial resources who struggles to be able to afford fashion college. Her goal is to become an internationally famous fashion designer.

Release Date: March 25, 1976

Genres: Drama, Romance

Directors: Berry Gordy

, Tony Richardson

, Jack Wormser

Writers: John Byrum

, Toni Amber

Runtime: 1 h 49 min

MPAA: 14A

Production: Motown Productions, Nikor Productions, Paramount Pictures

Distributor: CBS, Paramount Home Entertainment, Launch TV Studios

Country: United States

Language: English

Domestic: $ 5,000,000

Box office:

Domestic:$5MWorldwide:$5M

Possible Big Business:

Production:

Paramount Pictures

46%

The Rotten Tomatoes audience rated this 46% higher than the critics.

30%76%

No Metacritic ratings imported yet.

28%25%

28% of the Stars & Main Cast are Female.

25% of the Stars & Main Cast are "diverse."

White68.75%Black18.75%Latino6.25%Jewish6.25%

N/A

LGBTQ content included:

homosexual

Possibly woke elements:

interracial, interracial relationship

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

30%76%

IMDb:

OFDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	Latino	White	Black	Arab	Total	Visuals	Info
Kairos	5	3	1		9		A third party facial recognition software company we used to maintain objectivity. Upload images to the facial recognition demo page to check the veracity of our data set. Or use their API and do a bulk peer review if you'd like. Source: https://www.kairos.com/demos
Forebears	5	1	1	1	8
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/
Bettaface		1			1		A third party facial recognition software company we used to maintain objectivity. Upload images to the facial recognition demo page to check the veracity of our data set. Or use their API and do a bulk peer review if you'd like. Source: https://www.betafaceapi.com/demo_old.html
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	11	6	2	1	20
Cast Percentages	55%	30%	10%	5%	100%	{"name":"Cast Percentages","series":[{"name":"Latino","y":55,"color":"#eeaaee","sliced":true,"selected":true},{"name":"White","y":30,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":10,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Arab","y":5,"color":"#DF5353","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	18.73%	57.84%	12.4%	0.54%		{"name":"U.S. Population (2020)","series":[{"name":"White","y":57.84,"color":"#2b908f"},{"name":"Arab","y":0.54,"color":"#DF5353"},{"name":"Asian","y":6,"color":"#90ee7e"},{"name":"Black","y":12.4,"color":"#f45b5b"},{"name":"Indian","y":1.35,"color":"#7798BF"},{"name":"Indigenous","y":1.12,"color":"#aaeeee"},{"name":"Latino","y":18.73,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":9.32,"color":"#55BF3B"},{"name":"Jewish","y":2.02,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2020) Representation	+36.27	-27.84	-2.4	+4.46		{"name":"U.S. Population (2020)","series":[["Latino",18.73],["White",57.84],["Black",12.4],["Arab",0.54]],"cast":[{"name":"Latino","y":55,"color":"#eeaaee"},{"name":"White","y":30,"color":"#2b908f"},{"name":"Black","y":10,"color":"#f45b5b"},{"name":"Arab","y":5,"color":"#DF5353"}]}
U.S. Buying Power (2018) Percentage	9.42%	74.35%	7.96%			{"name":"U.S. Buying Power (2018)","series":[{"name":"White","y":12147700000000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1013300000000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1300200000000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":114600000000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1539000000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":224700000000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2018) Representation	+45.58	-44.35	+2.04			{"name":"U.S. Buying Power (2018)","series":[["Latino",9.42],["White",74.35],["Black",7.96],["Arab",0]],"cast":[{"name":"Latino","y":55,"color":"#eeaaee"},{"name":"White","y":30,"color":"#2b908f"},{"name":"Black","y":10,"color":"#f45b5b"},{"name":"Arab","y":5,"color":"#DF5353"}]}
U.S. Average Individual Income (2018) Percentage	9.51%	65.34%	9.43%			{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11825174998483,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1360705388565,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1706765993728,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":164296821776,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1721419354421,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1318328353188,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+45.49	-35.34	+0.57			{"name":"U.S. Average Individual Income (2018)","series":[["Latino",9.51],["White",65.34],["Black",9.43],["Arab",0]],"cast":[{"name":"Latino","y":55,"color":"#eeaaee"},{"name":"White","y":30,"color":"#2b908f"},{"name":"Black","y":10,"color":"#f45b5b"},{"name":"Arab","y":5,"color":"#DF5353"}]}
World population (2019) Percentage	5.62%	14.24%	14.47%	8.82%		{"name":"World population (2019) ","series":[{"name":"Mixed \/ Other","y":14688882870,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":42991259469,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":10971786583,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":108889096410,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":110601821551,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":238860161621,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":67406299429,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":167470202093,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2568698093,"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 (2019) Representation	+49.38	+15.76	-4.47	-3.82		{"name":"World population (2019) ","series":[["Latino",5.62],["White",14.24],["Black",14.47],["Arab",8.82]],"cast":[{"name":"Latino","y":55,"color":"#eeaaee"},{"name":"White","y":30,"color":"#2b908f"},{"name":"Black","y":10,"color":"#f45b5b"},{"name":"Arab","y":5,"color":"#DF5353"}]}
World Buying Power Percentage	9.35%	36.48%	6.38%	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	+45.65	-6.48	+3.62	-1.38		{"name":"World Buying Power","series":[["Latino",9.35],["White",36.48],["Black",6.38],["Arab",6.38]],"cast":[{"name":"Latino","y":55,"color":"#eeaaee"},{"name":"White","y":30,"color":"#2b908f"},{"name":"Black","y":10,"color":"#f45b5b"},{"name":"Arab","y":5,"color":"#DF5353"}]}
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.			Arab Americans are less than 1% of the US population and often check "White" or "Other" on the US Census. And the only data available for them started when the US Census added ancestry in 1980. So assume a less than 1% margin of error and overlap with the "White" and "Other" categories.

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Mahogany

Stars:

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