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Pretty in Pink

Summary: A poor girl must choose between the affections of dating her childhood sweetheart or a rich but sensitive playboy.
Runtime: 1 h 37 min
MPAA: PG

Country: United States
Language: English
Movie budget: $ 9,000,000
Domestic: $ 40,471,663
International: $ 8,990

Box office:

Budget:$9MDomestic:$40.5MInternational:$9KWorldwide:$40.5M

Box office International:

Source: The Numbers

Adaptation/remake:

title based on song

Possible Big Business:

Production:

Paramount Pictures

8%
73%81%

56/10082/100
56%0%
White87.5%Jewish12.5%
0.95

Possibly woke elements:

class differences

BechdeltestPassed!

Commonsensemedia

Message2/5
Role model3/5
Violence2/5
Sex2/5
Language4/5
Drugs3/5

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Stars:

Supporting cast:

Other cast:

Production:

RaceWhiteJewishIndianLatinoTotalVisualsInfo
Ethnic9211
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/

Forebears415
Kairos44
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

Surname11
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/

Total1721121
Cast Percentages80.95%9.52%4.76%4.76%100%
U.S. Population (1990) Percentage75.6%2.22%0.33%9%
Source:
US Census
(Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (1990) Representation+5.35+7.3+4.43-4.24
U.S. Buying Power (2000) Percentage81.25%6.26%
U.S. Buying Power (2000) Representation-0.3-1.5
U.S. Average Individual Income (2018) Percentage80.3%4.3%
U.S. Average Individual Income (2018) Representation+0.65+0.46
World population (1986) Percentage18.82%0.34%19.64%5.7%
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 (1986) Representation+62.13+9.18-14.88-0.94
World Buying Power Percentage36.48%1.11%6.94%9.35%
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+44.47+8.41-2.18-4.59
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.
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.

alarmangeranswering machineargumentaudio cassettebmwbmw 3bmw carbmw motor vehicleboyfriend girlfriend relationshipbrassierebrat packbreasts growingcarchineseclass differencescleavagecoming of agecoming of age dramacomputerconvertiblecrushcryingcult favoritedancedance contestdancingdatingdesignerdevotiondogdressdrunkennessdysfunctional familyeyeglassesfashionfather daughter relationshipfemale protagonistfirst lovefistfightforbidden lovefriendshipgeneration gapgerman cargirl wears pantiesgymhallhigh schoolhigh school promhigh school sweetheartshomeworkhouse partyindependent filmkarmann ghiakisslibrarylistening to a radiolockerlustmaking outmarijuanamicrophonemusic albummusic storemusiciannerdnightclubnylonsopposites attractpantiesparty dressphonograph recordphotographplaying cardsposterpovertypreppiepromprom dressrailroad tracksrecord playerrecord storereference to david lettermanreference to franklin d. rooseveltreference to karl marxreference to lionel richiereference to madonnareference to otis reddingreference to steve lawrencereference to teena mariereference to tina turnerrich man poor womanrich snobriding a bicyclerock bandscantily clad femaleschool danceschool yearbooksewing machineshermer illinoisshoppingshynesssingersingingsingle fatherslumber partysnobsocial consciousnesssuitorteacher student relationshipteen angstteen romanceteenage boyteenage girlteenage loveteenage romancetimeframe 1980stimeframe 20th centurytitle based on songtraditiontraintwo suitorsunderageunderwearunrequited lovevolkswagenvolkswagen carvolkswagen karmann ghia typ 14volkswagen motor vehiclevolleyballwashroomwatching tvwealthwhite pantieswrong side of the tracksyearbook

Parental Guide: +add

This film gets a 0.95/5 family friendly score

MPAA CertificationNo MPAA rating found yet. Add Family Friendly Rating?

IMDb Rating

https://www.imdb.com/title/tt0091790/parentalguide

last updated: 2024-10-26Update data

Commonsensemedia Rating

https://www.commonsensemedia.org/movie-reviews/pretty-in-pink

last updated: 2024-10-26Update data

Message
2/5

Nonconformity, despite being openly mocked by many of the popular kids of the high school, is ultimately shown in a positive light. Love conquers all -- especially across different socioeconomic backgrounds in a mostly upper-middle-class Chicago suburb. 

Role model
3/5

In the midst of high school cliquedom centered on wealthy snobs and misfits from less privileged backgrounds, Andi and Blane learn that these things ultimately do not matter in terms of affairs of the heart. Andi shows considerable self-sufficiency as she makes her own clothes and helps get her father, still distraught over her mother leaving them, out of bed to look for work. Duckie does not sacrifice his quirky nonconformity for the sake of trying to fit in in high school. 

Violence
2/5

Two characters get into a fistfight in a high school hallway. Some bullying -- Duckie is thrown into the women's restroom by some jocks. A woman working at a record store shoots a staple gun at the face of a boy trying to shoplift some cassettes. 

Sex
2/5

Kissing. References and insinuations regarding sex. A popular girl is scantily clad in bed at a party with her boyfriend, and sex is strongly implied.

Language
4/5

"F--k," "s--t," "bitch," "a--hole," "bulls--t." Verbal bullying: A girl is called a "slut"; a drunk girl calls one of the lead characters a "faggot." Another character is called a "retarded little dwarf." 

Consumerism
0/5

One of the lead characters eats from a bag of Lay's potato chips. 

Drugs
3/5

Joint rolling. Teens binge-drink at parties and nightclubs. Teens smoke cigarettes, sometimes in the high school hallways or restrooms. 

Methodology
Other sources

Douban
Douban
rating: 7.3/10
Douban
Kinopoisk
Kinopoisk
rating: 7/10
Kinopoisk
Eiga
Eiga
rating: 3.7/5
Eiga
MovieMeter
MovieMeter
rating: 2.9/5
MovieMeter
OFDb
OFDb
rating: 6.4/10
OFDb

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