The Farewell

Summary: A Chinese family discovers their grandmother has only a short while left to live and decide to keep her in the dark, scheduling a wedding to gather before she dies.

Release Date: August 09, 2019

Genres: Comedy, Drama

Director: Lulu Wang

Writer: Lulu Wang

Runtime: 1 h 40 min

MPAA: PG

Production: Big Beach Films, Depth of Field, Kindred Spirit

Countries: United States, China

Language: English

Movie budget: $ 3,000,000

Domestic: $ 17,695,781

International: $ 5,380,876

Box office:

Budget:$3MDomestic:$17.7MInternational:$5.4MWorldwide:$23.1M

Box office International:

Source: Box Office Mojo

Adaptation/remake:

based on an actual life

-10%

The Rotten Tomatoes audience rated this -10% lower than the critics.

97%87%

The Metacritic audience rated this -7% lower than the critics.

Metacritic Meta:

89/100

Metacritic User:

82/100

61%100%

61% of the Stars & Main Cast are Female.

100% of the Stars & Main Cast are "diverse."

Asian94.44%Arab5.56%

2.00

Possibly woke elements:

triple f rated,f rated,female soldier

BechdeltestPassed!

Commonsensemedia

Message3/5
Role model4/5
Violence1/5
Sex2/5
Language3/5
Consumerism2/5
Drugs4/5

Dove

Integrity4/5
Sex1/5
Language2/5
Drugs2/5
Nudity1/5
Other1/5

This film gets a 2.00/5 family friendly score

Please help improve our site and

add a Family Friendly Rating.

CONTENT BREAKDOWN

Methodology

RottenTomatoes:

97%87%

Douban:

Eiga:

IMDb:

Kinopoisk:

Metacritic:

Metacritic User:

OFDb:

Wokeness

Mediaversity:

Thecherrypicks:

Methodology

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Stars:

Supporting cast:

Other cast:

Production:

Star

Supporting

Other

Production

Race	Asian	Latino	White	Arab	Total	Visuals	Info
Forebears	12				12
Kairos	5	1	1		7		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	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	18	1	1	1	21
Cast Percentages	85.71%	4.76%	4.76%	4.76%	100%	{"name":"Cast Percentages","series":[{"name":"Asian","y":85.71,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Latino","y":4.76,"color":"#eeaaee","sliced":true,"selected":true},{"name":"White","y":4.76,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":4.76,"color":"#DF5353","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	6%	18.73%	57.84%	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	+79.71	-13.97	-53.08	+4.22		{"name":"U.S. Population (2020)","series":[["Asian",6],["Latino",18.73],["White",57.84],["Arab",0.54]],"cast":[{"name":"Asian","y":85.71,"color":"#90ee7e"},{"name":"Latino","y":4.76,"color":"#eeaaee"},{"name":"White","y":4.76,"color":"#2b908f"},{"name":"Arab","y":4.76,"color":"#DF5353"}]}
U.S. Buying Power (2018) Percentage	6.2%	9.42%	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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2018) Representation	+79.51	-4.66	-69.59			{"name":"U.S. Buying Power (2018)","series":[["Asian",6.2],["Latino",9.42],["White",74.35],["Arab",0]],"cast":[{"name":"Asian","y":85.71,"color":"#90ee7e"},{"name":"Latino","y":4.76,"color":"#eeaaee"},{"name":"White","y":4.76,"color":"#2b908f"},{"name":"Arab","y":4.76,"color":"#DF5353"}]}
U.S. Average Individual Income (2018) Percentage	7.52%	9.51%	65.34%			{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11825174998483,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1360705388565,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1706765993728,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":164296821776,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1721419354421,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1318328353188,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+78.19	-4.75	-60.58			{"name":"U.S. Average Individual Income (2018)","series":[["Asian",7.52],["Latino",9.51],["White",65.34],["Arab",0]],"cast":[{"name":"Asian","y":85.71,"color":"#90ee7e"},{"name":"Latino","y":4.76,"color":"#eeaaee"},{"name":"White","y":4.76,"color":"#2b908f"},{"name":"Arab","y":4.76,"color":"#DF5353"}]}
World population (2019) Percentage	31.25%	5.62%	14.24%	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	+54.46	-0.86	-9.48	-4.06		{"name":"World population (2019) ","series":[["Asian",31.25],["Latino",5.62],["White",14.24],["Arab",8.82]],"cast":[{"name":"Asian","y":85.71,"color":"#90ee7e"},{"name":"Latino","y":4.76,"color":"#eeaaee"},{"name":"White","y":4.76,"color":"#2b908f"},{"name":"Arab","y":4.76,"color":"#DF5353"}]}
World Buying Power Percentage	29.46%	9.35%	36.48%	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	+56.25	-4.59	-31.72	-1.62		{"name":"World Buying Power","series":[["Asian",29.46],["Latino",9.35],["White",36.48],["Arab",6.38]],"cast":[{"name":"Asian","y":85.71,"color":"#90ee7e"},{"name":"Latino","y":4.76,"color":"#eeaaee"},{"name":"White","y":4.76,"color":"#2b908f"},{"name":"Arab","y":4.76,"color":"#DF5353"}]}
Notes	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.	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.

2 year old girl 30 year old woman 360 degree well shot 6 year old girl air conditioner airport american apartment complex apology applause asking for forgiveness aspiring writer aunt nephew relationship aunt niece relationship baby backpack balloon banana banquet hall bare chested male baseball cap based on an actual life being watched benign shadow bilingual bird bird loose inside a hotel room birthday birthday party bowing boy boyfriend girlfriend relationship bride and groom brother brother relationship camera cancer cell phone cemetery ceremonial fire ceremony changchun china chef chest x ray china chinese chinese american chinese culture chinese family chinese japanese romance chopsticks the eating utensil cigarette cigarette smoking circular staircase clothesline confession of love congratulations cookie cooking copying machine coughing cousin cousin relationship crab crab as food crawling on the floor crying crying groom crying man crying woman ct scan cupping cymbals dancer dancing daughter rests her chin on mothr's shoulder dead father dead grandfather dead husband death of grandfather deceased father deceased husband deception dizziness doctor dog dragon costume drink drinking drummer drums drunkenness duck as food dying eating epilogue f rated family photograph family relationships father daughter relationship father son relationship fear female director female filmmaker female protagonist female soldier fiance fiancee relationship flower food forgery giving a toast government official grabdmother touches granddaughter's butt grandmother and granddaughter hold hands grandmother granddaughter embrace grandmother granddaughter relationship grandmother grandson relationship grave graveside ceremony gravestone grief grunting grunting exercise guggenheim fellowship guilt happiness happy birthday to you hard of hearing hiding one's emotions holding hands home video hospital hospital waiting room hotel hotel desk clerk hotel room husband wife relationship husband wife separation illiteracy illness immigrant intercultural romance italian japan japanese jet lag joke telling karaoke knocking on a door laundromat letter lie limping woman living alone living together lobster as food long distance telephone call looking at oneself in a mirror looking out a taxi rear window lost earring lung cancer man wears eyeglasses mandarin chinese manhattan new york city maotai massage parlor masseuse master of ceremonies matchmaking matriarch meat pie medical diagnosis medicine memory microphone mirror money money as a gift mother daughter relationship mother in law daughter in law relationship mother son relationship mri new york city old man old woman opera singer orange the fruit painter paper jacket photograph photograph on gravestone photographer pianist piano pierced nosering playing a video game posing for a photograph prayer pride professional crier prostitute quitting a job quitting smoking cigarettes rain relaxation exercise revolving door roast duck running sadness saying goodbye scene during opening credits secret singer singing singing dog sister sister relationship sleep sleeping slow motion scene soaking one's feet in water song stage four cancer statue stethoscope storytelling street life subjective camera subtitled scene subway suitcase talking to one's dead husband taxi telephone telephone call telling a joke terminal illness thumbs up gesture title directed by female tradition translator triple f rated umbrella uncle nephew relationship uncle niece relationship unhappiness video before end credits visiting father's grave visiting grandfather's grave visiting husband's grave vitamin pills walking exercise watching someone waving goodbye wedding wedding banquet wedding photograph wedding reception weeks to live what happened to epilogue woman sits on a toilet wonton worrying writer producer director written by director written directed and produced by female x ray

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Total found: 41

Other sources

Parental Guide: +add

This film gets a 2/5 family friendly score

MPAA Certification	No MPAA rating found yet. Add Family Friendly Rating?
IMDb Rating https://www.imdb.com/title/tt8637428/parentalguide last updated: 2024-10-26Update data
Commonsensemedia Rating https://www.commonsensemedia.org/movie-reviews/the-farewell last updated: 2024-10-26Update data
Message 3/5	Shows importance of family. Provokes thought about differences between Eastern and Western cultures and sheds light on practices that may be unfamiliar to some viewers. Themes of compassion, empathy, self-control.
Role model 4/5	Strong Asian representation in a true Chinese American story. Features an almost all-Asian cast and a female Chinese American director. Main character Billi isn't portrayed with gender stereotypes; she struggles with balancing her own integrity with her family's definition of compassion.
Violence 1/5	Plot hinges on a beloved grandmother's terminal illness diagnosis; the family is frequently visibly dismayed or upset at the news.
Sex 2/5	Questions arise about whether a newly engaged couple is pregnant; a crack is made about what goes on "in the bedroom." Couple holds hands. Grandmother tries to make a love connection for her granddaughter.
Language 3/5	"S--t" is heard once; "stupid" is used frequently, but mostly in a loving way.
Consumerism 2/5	Conversations suggest that being rich (or looking like it) is crucial to an adult's status. A tween character never looks up from his iPhone. A VW logo is seen on a car but doesn't seem to be promoting the vehicle.
Drugs 4/5	Smoking. Discussion about someone who drinks too much, to the worry of his family. Having the right kind of alcohol at the wedding is a topic of conversation; at the wedding, everyone drinks quite a bit. A drinking game is shown as a bonding moment for a family. Characters get drunk.
Dove Rating https://dove.org/review/18256-the-farewell/
Faith 0/5	Chinese traditions involving honoring the dead; a hymn-like song by Leonard Cohen
Integrity 4/5
Sex 1/5	Reference to a young couple being “knocked up” (she’s not).
Language 2/5	A couple S** words.
Violence 0/5	None
Drugs 2/5	Celebratory drinking and smoking; two men get drunk at a wedding.
Nudity 1/5	Mom must help dad get undressed when he’s inebriated.
Other 1/5	We see Billi on the toilet, but we only see her upper half. The premise of the movie is that grandma is dying and the family is lying to her about it.

Methodology

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boxofficemom.com
commonsensemedia.org
crosswalk.com

Douban

rating: 7.2/10

Kinopoisk

rating: 7.3/10

Eiga

rating: 3.3/5

OFDb

rating: 6.2/10

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Critic Reviews:

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Jan 23rd 2020

Plugged In Movie Awards 2020: Best Movies for Adults

We’ve hit the third day of our four-day swing through our Plugged In Movie Awards nominations, and we’ve come to the category that engenders the most passionate discussion amongst Plugged In staff members. It is, in many respects, the hardest and the most fun category to fill. Why? Elementary, my dear reader. In choosing movies […]
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The Farewell

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The Farewell

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La brutalmente honesta votacion de los Oscar es la mejor parte de la temporada

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Plugged In Movie Awards 2020: Best Movies for Adults

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