La vie après l'amour

Summary: After 20 years of marriage and almost perfect love, Sophie leaves her husband Gilles for another guy. Many misadventures await Gilles in his nervous breakdown, while trying to get a way to reclaim his love back to Sophie.

Release Date: July 07, 2000

Genre: Comedy

Director: Gabriel Pelletier

Writer: Ken Scott

Runtime: 1 h 44 min

Production: Canadian Film or Video Production Tax Credit (CPTC), Canadian Television Fund, Max Films Productions, Quebec Film and Television Tax Credit, Réseau TVA, Société de Développement des Entreprises Culturelles (SODEC), Téléfilm Canada

Country: Canada

Language: French

Domestic: $ 1,795,758

Box office:

Domestic:$1.8MWorldwide:$1.8M

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28%11%

28% of the Stars & Main Cast are Female.

11% of the Stars & Main Cast are "diverse."

White88.89%Latino11.11%

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CONTENT BREAKDOWN

Methodology

IMDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Total	Visuals	Info
Kairos	13	13		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	4	4
Crowd	1	1		This is the crowdsourced dataset created by users like you! We greatly appreciate your cooperation in making ZR the most accurate and massive database on the internet. Sometimes the verdicts are submitted by looks alone, sometimes users attach an image and a source link. Due to this inconsistency please take the results with a grain of salt and click each actor for more info.
Total	18	18
Cast Percentages	100%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":100,"color":"#2b908f","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	57.84%		{"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	+42.16		{"name":"U.S. Population (2020)","series":[["White",57.84]],"cast":[{"name":"White","y":100,"color":"#2b908f"}]}
U.S. Buying Power (2018) Percentage	74.35%		{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2018) Representation	+25.65		{"name":"U.S. Buying Power (2018)","series":[["White",74.35]],"cast":[{"name":"White","y":100,"color":"#2b908f"}]}
U.S. Average Individual Income (2018) Percentage	65.34%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11634301323350,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1338741837216,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1679216574979,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":161644857794,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1693633411408,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1297048822201,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+34.66		{"name":"U.S. Average Individual Income (2018)","series":[["White",65.34]],"cast":[{"name":"White","y":100,"color":"#2b908f"}]}
World population (2016) Percentage	14.56%		{"name":"World population (2016) ","series":[{"name":"Mixed \/ Other","y":14080928408,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":41779986108,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":10563007755,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":107672581567,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":102800941644,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":234445222813,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":63813089200,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":161901582394,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2488256092,"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 (2016) Representation	+85.44		{"name":"World population (2016) ","series":[["White",14.56]],"cast":[{"name":"White","y":100,"color":"#2b908f"}]}
World Buying Power Percentage	36.48%		{"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	+63.52		{"name":"World Buying Power","series":[["White",36.48]],"cast":[{"name":"White","y":100,"color":"#2b908f"}]}
Notes