Those Who Love Me Can Take the Train

Summary: Friends of a recently deceased minor painter Jean-Baptiste take a train in Paris for Limoges, where he wished to be buried, and all the people on the train have their problems.

Release Date: May 15, 1998

Genres: Drama, Romance

Director: Patrice Chéreau

Writers: Danièle Thompson

, Patrice Chéreau

, Pierre Trividic

Runtime: 2 h 02 min

Production: Téléma, Canal+, France 2 Cinéma, France 3 Cinéma, Azor Films, Centre national du cinéma et de l'image animée (CNC), Société des Producteurs de Cinéma et de Télévision (Procirep)

Distributor: Kino International, Kino Video

Country: France

Language: French

Domestic: $ 63,651

Box office:

Domestic:$63.7KWorldwide:$63.7K

13%

The Rotten Tomatoes audience rated this 13% higher than the critics.

59%72%

No Metacritic ratings imported yet.

33%13%

33% of the Stars & Main Cast are Female.

13% of the Stars & Main Cast are "diverse."

White81.25%Mixed / Other6.25%Asian6.25%Jewish6.25%

N/A

LGBTQ content included:

LGB:

gay, homosexual, gay love

QTIA+:

transgender, transgender woman, sex change

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CONTENT BREAKDOWN

Methodology

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59%72%

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Race	White	Mixed / Other	Jewish	Black	Arab	Asian	Total	Visuals	Info
Kairos	8						8		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
Ethnic	2	2	1				5		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/
Forebears	2			1	1	1	5
Total	12	2	1	1	1	1	18
Cast Percentages	66.67%	11.11%	5.56%	5.56%	5.56%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":66.67,"color":"#2b908f","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":11.11,"color":"#55BF3B","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},{"name":"Arab","y":5.56,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":5.56,"color":"#90ee7e","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2000) Percentage	69.1%	3.96%	1.85%	12.3%	0.42%	4.23%		{"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	-2.43	+7.15	+3.71	-6.74	+5.14	+1.33		{"name":"U.S. Population (2000)","series":[["White",69.1],["Mixed \/ Other",3.96],["Jewish",1.85],["Black",12.3],["Arab",0.42],["Asian",4.23]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Mixed \/ Other","y":11.11,"color":"#55BF3B"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Black","y":5.56,"color":"#f45b5b"},{"name":"Arab","y":5.56,"color":"#DF5353"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Buying Power (2000) Percentage	81.25%	0.76%		7.72%		3.5%		{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	-14.58	+10.35		-2.16		+2.06		{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Mixed \/ Other",0.76],["Jewish",0],["Black",7.72],["Arab",0],["Asian",3.5]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Mixed \/ Other","y":11.11,"color":"#55BF3B"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Black","y":5.56,"color":"#f45b5b"},{"name":"Arab","y":5.56,"color":"#DF5353"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Average Individual Income (2018) Percentage	75.87%	3.01%		9.09%		5.15%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11872597712221,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":806197848092,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1422806434108,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":110953769680,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":965489000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":470751030130,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	-9.2	+8.1		-3.53		+0.41		{"name":"U.S. Average Individual Income (2018)","series":[["White",75.87],["Mixed \/ Other",3.01],["Jewish",0],["Black",9.09],["Arab",0],["Asian",5.15]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Mixed \/ Other","y":11.11,"color":"#55BF3B"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Black","y":5.56,"color":"#f45b5b"},{"name":"Arab","y":5.56,"color":"#DF5353"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World population (1998) Percentage	16.81%	1.9%	0.34%	11.14%	7.53%	34.44%		{"name":"World population (1998) ","series":[{"name":"Mixed \/ Other","y":11240163113,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":33789333940,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":8008119274,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":99712484940,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":66035704683,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":204238902722,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":44623813256,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":123347457749,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2010183642,"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 (1998) Representation	+49.86	+9.21	+5.22	-5.58	-1.97	-28.88		{"name":"World population (1998) ","series":[["White",16.81],["Mixed \/ Other",1.9],["Jewish",0.34],["Black",11.14],["Arab",7.53],["Asian",34.44]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Mixed \/ Other","y":11.11,"color":"#55BF3B"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Black","y":5.56,"color":"#f45b5b"},{"name":"Arab","y":5.56,"color":"#DF5353"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World Buying Power Percentage	36.48%	1.81%	1.11%	6.38%	6.38%	29.46%		{"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	+30.19	+9.3	+4.45	-0.82	-0.82	-23.9		{"name":"World Buying Power","series":[["White",36.48],["Mixed \/ Other",1.81],["Jewish",1.11],["Black",6.38],["Arab",6.38],["Asian",29.46]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Mixed \/ Other","y":11.11,"color":"#55BF3B"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Black","y":5.56,"color":"#f45b5b"},{"name":"Arab","y":5.56,"color":"#DF5353"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
Notes		The "Mixed / Other" categories overlap, and the 2 or more category was not an option until the 2000 Census. So for the combined column, all data will be taken from the "Other" column except for 2000, 2010, & 2020. For those, the average between the "2 or More Races" and "Some Other Race" will be used.	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.		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.	The US Census considers Pakistani, Sri Lankan, Indian, and Bangladeshi as Asians. At ZR we group Pakistanis with the Arab world. And we group Sri Lankan and Bangladeshi with India because 1.) they are all genetically similar as "South Asians and 2.) there are only a handful of actors from those regions in our database. However, you are viewing the "Asian Alone" category from the US Census when comparing it with Domestic representation. Also note that the 2000 and 2010 estimates include MultiRacial Asians not just "Asian Alone" estimates, and in some categories they include Native Hawaiians as "Asian." So there is a margin of error less than 1% and some inconsistencies with the grouping.

69 sex position abortion adoption adultery aids alexandria egypt anal sex apology apostrophe in title art studio artist aunt nephew relationship austerlitz station paris autopsy baby back massage back rub baker bakery banana split bar bathtub blood blood clot blood clot in brain book bread broken glass bronchitis brother brother relationship brother sister relationship burial butcher buying a house cambodia cancer candy car accident card playing carried on someone's shoulders catholic cemetery centipede chateauroux france christmas cigarette smoking coffee coffin coloring book concerto cookie cross crying death death of father death of mother depression desperation detour dialogue driven directing traffic dog doll drink drink thrown into someone's face drinking driving driving a car into a field drug use duck dying eavesdropping egypt extramarital affair face slap factory owner family business family home family relationships father daughter relationship father murders mother father son relationship fear fellatio female frontal nudity female nudity fiancee fight filling station first person title flashback flowers food french toast friend friendship funeral funeral march gas station gay gay love triangle gay painter gay slur gossip grave graveyard grenade grenade up anus heart attack heart trouble heiress high heels hitchhiker hiv homosexual hormones house repairs human immunodeficiency virus positive husband murders wife husband wife relationship infidelity ink marker insomniac interview jealousy jewelry kiss kitchen la souterraine france last will and testament letter limoges france listening in on a telephone call listening to music looking through a window love triangle madrid spain male frontal nudity male full frontal nudity male nudity male nurse male pubic hair manic depression marriage mathematics medication memory milk mirror money moped moped accident mother daughter relationship mother son relationship murder museum nervousness newspaper night nurse note novel nurse ogling old man oral sex orthopedist pain painter painting pallbearer paris france pay phone phone booth photograph pregnancy professor pubic hair purse railway station rain raincoat rape reading reaming reckless driving reference to francis bacon reference to pablo picasso ritual sadness same actor playing twin role screaming sculpture secret self adoption sex change sex in a train toilet sex scene shoe factory shoe store shoes six word title slide photograph sociologist sound check stale bread station wagon stolen bank check stolen cookie storytelling student surgical operation surrogate son tape deck tape recorder taxi tea teacher teacher student relationship teacup tears telephone call theft thief tombstone tow truck toy train train conductor train ticket train toilet transgender transgender woman travel trying on shoes twin twin sons uncle nephew relationship uncle niece relationship unfaithfulness wake walking on broken glass washing one's face watching tv wine wine cellar wiping bottom witness writer

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