Cafe Society

Summary: A society playboy with a taste for the lowlife is set up for exploitation by an unscrupulous undercover cop and his shadowy political masters.

Release Date: July 10, 1996

Genres: Drama, Mystery

Director: Raymond De Felitta

Writer: Raymond De Felitta

Runtime: 1 h 47 min

MPAA: R

Production: Cineville, Skyline Entertainment, Daylight Productions, Shooting Gallery, Showtime Networks

Distributor: Cineville, The Screening Room

Country: United States

Language: English

Movie budget: $ 3,500,000

Budget:$3.5M

Adaptation/remake:

based on true story

Possible Big Business:

Production:

Showtime Networks

N/A

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28%6%

28% of the Stars & Main Cast are Female.

6% of the Stars & Main Cast are "diverse."

White94.44%Latino5.56%

N/A

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CONTENT BREAKDOWN

Methodology

Douban:

IMDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Jewish	Black	Total	Visuals	Info
Forebears	12		1	13
Ethnic	1	1		2		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/
Kairos	2			2		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
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	16	1	1	18
Cast Percentages	88.89%	5.56%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":88.89,"color":"#2b908f","sliced":true,"selected":true},{"name":"Jewish","y":5.56,"color":"#ff0066","sliced":true,"selected":true},{"name":"Black","y":5.56,"color":"#f45b5b","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2010) Percentage	63.7%	1.71%	12.6%		{"name":"U.S. Population (2010)","series":[{"name":"White","y":63.7,"color":"#2b908f"},{"name":"Arab","y":0.55,"color":"#DF5353"},{"name":"Asian","y":5.61,"color":"#90ee7e"},{"name":"Black","y":12.6,"color":"#f45b5b"},{"name":"Indian","y":0.92,"color":"#7798BF"},{"name":"Indigenous","y":0.9,"color":"#aaeeee"},{"name":"Latino","y":16.3,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":4.56,"color":"#55BF3B"},{"name":"Jewish","y":1.71,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2010) Representation	+25.19	+3.85	-7.04		{"name":"U.S. Population (2010)","series":[["White",63.7],["Jewish",1.71],["Black",12.6]],"cast":[{"name":"White","y":88.89,"color":"#2b908f"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
U.S. Buying Power (2010) Percentage	77.06%		7.85%		{"name":"U.S. Buying Power (2010)","series":[{"name":"White","y":9431400000000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":603500000000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":961200000000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":82500000000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1018000000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":143100000000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2010) Representation	+11.83		-2.29		{"name":"U.S. Buying Power (2010)","series":[["White",77.06],["Jewish",0],["Black",7.85]],"cast":[{"name":"White","y":88.89,"color":"#2b908f"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
U.S. Average Individual Income (2018) Percentage	71.15%		9.47%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11838520573935,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1156523399779,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1576527496897,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":120014123533,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1361805918368,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":586342307104,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+17.74		-3.91		{"name":"U.S. Average Individual Income (2018)","series":[["White",71.15],["Jewish",0],["Black",9.47]],"cast":[{"name":"White","y":88.89,"color":"#2b908f"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
World population (2006) Percentage	15.65%	0.34%	12.21%		{"name":"World population (2006) ","series":[{"name":"Mixed \/ Other","y":12195979429,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":37634935587,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":9066893595,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":102813186221,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":80211026903,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":218719950667,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":52340877946,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":141605318875,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2216840169,"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 (2006) Representation	+73.24	+5.22	-6.65		{"name":"World population (2006) ","series":[["White",15.65],["Jewish",0.34],["Black",12.21]],"cast":[{"name":"White","y":88.89,"color":"#2b908f"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
World Buying Power Percentage	36.48%	1.11%	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	+52.41	+4.45	-0.82		{"name":"World Buying Power","series":[["White",36.48],["Jewish",1.11],["Black",6.38]],"cast":[{"name":"White","y":88.89,"color":"#2b908f"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
Notes		If there were any inconsistencies with percentages calculated using our Census data, the Jewish Data Bank percentages were the ones used. Also please review the Jewish Data Bank pdf to understand the difference between the "Core" Jewish population and the "Extended" / "Law of Return" Jewish populations. We are displaying the "Core" Jewish populations since that is what the Jewish Data Bank and Wikipedia articles chose. Also, the 1942 population estimates were used for the 1940 row. For the 2000 estimates, the "Core" definition was not used, so we used the 5.2 mil broader estimate instead of the 4.3 mil estimate since the 5.2 broader estimate seemed too drastic of a drop and the definitions weren't congruent with Core and Law of Return.

Tags / Keywords

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