Rapt

Summary: A rich industrialist is brutally kidnapped. While he physically and mentally degenerates in imprisonment, the kidnappers, police and the board of the company of which he is director negotiate about the ransom of 50 million euro.

Release Date: November 18, 2009

Genres: Drama, Thriller

Director: Lucas Belvaux

Writer: Lucas Belvaux

Runtime: 2 h 05 min

MPAA: Not Rated

Production: Agat Films & Cie, Entre Chien et Loup, France 3 Cinéma, Agat Films & Cie, Eurimages, Tax Shelter ING Invest de Tax Shelter Productions, Centre du Cinéma et de l'Audiovisuel de la Fédération Wallonie-Bruxelles, La Région Île-de-France, Région Wallone, Soficinéma 5, Sofica Soficinéma 4, Banque Postale Image 2, Cofimage 20, Uni Etoile 6, Tetrade Consulting, Canal+, France 3, CinéCinéma

Countries: France, Belgium

Language: French

Domestic: $ 45,759

International: $ 2,946,177

Box office:

Domestic:$45.8KInternational:$2.9MWorldwide:$3M

Adaptation/remake:

loosely based on a true story

-30%

The Rotten Tomatoes audience rated this -30% lower than the critics.

97%67%

No Metacritic ratings imported yet.

28%6%

28% of the Stars & Main Cast are Female.

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

White88.89%Black5.56%Jewish5.56%

N/A

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

97%67%

Douban:

IMDb:

Kinopoisk:

OFDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Black	Arab	Total	Visuals	Info
Kairos	9	2		11		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	6
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
Total	16	2	1	19
Cast Percentages	84.21%	10.53%	5.26%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":84.21,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":10.53,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Arab","y":5.26,"color":"#DF5353","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2010) Percentage	63.7%	12.6%	0.55%		{"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	+20.51	-2.07	+4.71		{"name":"U.S. Population (2010)","series":[["White",63.7],["Black",12.6],["Arab",0.55]],"cast":[{"name":"White","y":84.21,"color":"#2b908f"},{"name":"Black","y":10.53,"color":"#f45b5b"},{"name":"Arab","y":5.26,"color":"#DF5353"}]}
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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2010) Representation	+7.15	+2.68			{"name":"U.S. Buying Power (2010)","series":[["White",77.06],["Black",7.85],["Arab",0]],"cast":[{"name":"White","y":84.21,"color":"#2b908f"},{"name":"Black","y":10.53,"color":"#f45b5b"},{"name":"Arab","y":5.26,"color":"#DF5353"}]}
U.S. Average Individual Income (2018) Percentage	71.15%	9.47%			{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":12537365773677,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1224794669088,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1669592222898,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":127098732932,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1442195315260,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":620954951832,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+13.06	+1.06			{"name":"U.S. Average Individual Income (2018)","series":[["White",71.15],["Black",9.47],["Arab",0]],"cast":[{"name":"White","y":84.21,"color":"#2b908f"},{"name":"Black","y":10.53,"color":"#f45b5b"},{"name":"Arab","y":5.26,"color":"#DF5353"}]}
World population (2013) Percentage	14.85%	13.36%	8.43%		{"name":"World population (2013) ","series":[{"name":"Mixed \/ Other","y":13464667900,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":40616382211,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":10133775711,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":106073528385,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":95379954414,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":229663343079,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":60187330227,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":156181078313,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2403549422,"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 (2013) Representation	+69.36	-2.83	-3.17		{"name":"World population (2013) ","series":[["White",14.85],["Black",13.36],["Arab",8.43]],"cast":[{"name":"White","y":84.21,"color":"#2b908f"},{"name":"Black","y":10.53,"color":"#f45b5b"},{"name":"Arab","y":5.26,"color":"#DF5353"}]}
World Buying Power Percentage	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	+47.73	+4.15	-1.12		{"name":"World Buying Power","series":[["White",36.48],["Black",6.38],["Arab",6.38]],"cast":[{"name":"White","y":84.21,"color":"#2b908f"},{"name":"Black","y":10.53,"color":"#f45b5b"},{"name":"Arab","y":5.26,"color":"#DF5353"}]}
Notes			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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Rapt

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