A New York Story

Summary: A young woman risks being ostracized from an insular New York clique led by her socialite best friend when she falls for a charming photographer.

Release Date: September 06, 2024

Genre: Drama

Director: Fiona Robert

Writers: Fiona Robert

, Sophia Robert

Runtime: 1 h 36 min

Production: Robert Sisters Pictures

Country: United States

Language: English

N/A

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44%19%

44% of the Stars & Main Cast are Female.

19% of the Stars & Main Cast are "diverse."

White81.25%Black6.25%Latino6.25%Asian6.25%

N/A

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CONTENT BREAKDOWN

Methodology

IMDb:

Moviemeter:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Asian	Latino	Black	Total	Visuals	Info
Kairos	8	1		1	10		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	3				3		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	2				2		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
Forebears	1		1		2
Surname	1				1		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/
Total	15	1	1	1	18
Cast Percentages	83.33%	5.56%	5.56%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":83.33,"color":"#2b908f","sliced":true,"selected":true},{"name":"Asian","y":5.56,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Latino","y":5.56,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Black","y":5.56,"color":"#f45b5b","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	57.84%	6%	18.73%	12.4%		{"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	+25.49	-0.44	-13.17	-6.84		{"name":"U.S. Population (2020)","series":[["White",57.84],["Asian",6],["Latino",18.73],["Black",12.4]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"},{"name":"Latino","y":5.56,"color":"#eeaaee"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
U.S. Buying Power (2023) Percentage	72.69%	6.97%	10.06%	8.02%		{"name":"U.S. Buying Power (2023)","series":[{"name":"White","y":13897000000000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1333100000000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1533100000000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":136400000000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1924000000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":295300000000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2023) Representation	+10.64	-1.41	-4.5	-2.46		{"name":"U.S. Buying Power (2023)","series":[["White",72.69],["Asian",6.97],["Latino",10.06],["Black",8.02]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"},{"name":"Latino","y":5.56,"color":"#eeaaee"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
U.S. Average Individual Income (2018) Percentage	65.34%	7.52%	9.51%	9.43%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11825174998483,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1360705388565,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1706765993728,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":164296821776,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1721419354421,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1318328353188,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+17.99	-1.96	-3.95	-3.87		{"name":"U.S. Average Individual Income (2018)","series":[["White",65.34],["Asian",7.52],["Latino",9.51],["Black",9.43]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"},{"name":"Latino","y":5.56,"color":"#eeaaee"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
World population (2019) Percentage	14.24%	31.25%	5.62%	14.47%		{"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	+69.09	-25.69	-0.06	-8.91		{"name":"World population (2019) ","series":[["White",14.24],["Asian",31.25],["Latino",5.62],["Black",14.47]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"},{"name":"Latino","y":5.56,"color":"#eeaaee"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
World Buying Power Percentage	36.48%	29.46%	9.35%	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	+46.85	-23.9	-3.79	-0.82		{"name":"World Buying Power","series":[["White",36.48],["Asian",29.46],["Latino",9.35],["Black",6.38]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"},{"name":"Latino","y":5.56,"color":"#eeaaee"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
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.

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RottenTomatoes:

68%71%

Douban:

IMDb:

Kinopoisk:

OFDb:

Methodology

Black (2005)

Summary: Michelle, a disabled girl who can't see, hear, or speak, suffering in a world that has given up on her. But when the teacher Debraj enters her life, he becomes a ray of hope that she might pursue her passions and have a normal life.

Release Date: February 04, 2005

Genre: Drama

Director: Sanjay Leela Bhansali

Writers: Sanjay Leela Bhansali

, Bhavani Iyer

, Prakash Kapadia

Runtime: 2 h 02 min

MPAA: PG

Production: Applause Bhansali Productions, Applause Entertainment Ltd., SLB Films Pvt. Ltd.

Distributor: Yash Raj Films

Country: India

Language: Hindi

Movie budget: $ 180,000,000

Domestic: $ 754,819

International: $ 511,522

Box office:

Budget:$180MDomestic:$754.8KInternational:$511.5KWorldwide:$1.3M

Box office International:

Source: The Numbers

N/A

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44%78%

44% of the Stars & Main Cast are Female.

78% of the Stars & Main Cast are "diverse."

Indian44.44%White22.22%Arab11.11%Latino11.11%Asian11.11%

N/A

Possibly woke elements:

f rated

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Douban:

IMDb:

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Methodology

Blind Mountain (2007)

Summary: A young woman is kidnapped and sold to a villager in the mountains.

Release Date: March 12, 2008

Genres: Drama, Crime

Director: Yang Li

Writer: Yang Li

Runtime: 1 h 35 min

Production: Kun Peng Xing Yun Cultural Development, Tag Spledour and Films

Countries: China, Hong Kong

Language: Chinese

Domestic: $ 13,164

International: $ 30,183

Box office:

Domestic:$13.2KInternational:$30.2KWorldwide:$43.3K

-4%

The Rotten Tomatoes audience rated this -4% lower than the critics.

87%83%

No Metacritic ratings imported yet.

28%100%

28% of the Stars & Main Cast are Female.

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

Asian100%

N/A

Possibly woke elements:

misogyny

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RottenTomatoes:

87%83%

Douban:

IMDb:

Kinopoisk:

OFDb:

Methodology

Slaughter Creek (2013)

Summary: In February of 2006, a documentary film crew from Dallas, Texas followed a young woman as she began her career in the porn industry. By March, she had disappeared.

Release Date: April 29, 2013

Genres: Drama, Horror

Directors: Brian Skiba

, Liam Owen

Writer: Michael Z. Gordon

Runtime: 1 h 34 min

MPAA: 16+

Production: Americana Films, My Own Worst Enemy, Michaelodeon Films

Country: United States

Language: English

Movie budget: $ 1,000,000

Domestic: $ 136,815

Box office:

Budget:$1MDomestic:$136.8KWorldwide:$136.8K

N/A

No Rotten Tomatoes ratings imported yet.

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58%11%

58% of the Stars & Main Cast are Female.

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

White88.89%Black11.11%

N/A

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IMDb:

Methodology

At Five in the Afternoon (2003)

Summary: In a post-Taliban Afghanistan a young woman (Agheleh Rezaie) attends school against her conservative father's will, hoping to learn more about democracy to fulfill her dream of being the country's next president.

Release Date: August 20, 2003

Genre: Drama

Director: Samira Makhmalbaf

Writers: Mohsen Makhmalbaf

, Samira Makhmalbaf

Runtime: 1 h 45 min

Production: Makhmalbaf Productions, Wild Bunch, Bac Films

Distributor: Sony Pictures Home Entertainment

Countries: Iran, France

Language: Farsi

Box office:

Worldwide:$515.1K

N/A

No Rotten Tomatoes ratings imported yet.

No Metacritic ratings imported yet.

11%100%

11% of the Stars & Main Cast are Female.

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

Arab85.71%Indian14.29%

N/A

Possibly woke elements:

f rated

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Choker Bali: A Passion Play (2003)

Summary: Binodini is a young widow who lives with a woman and her son, Mahendra, who had once refused to marry her. Their lives are thrown into disarray when there is deceit and adultery between Binodini, Mahendra, his wife and his friend.

Release Date: October 02, 2003

Genre: Drama

Director: Rituparno Ghosh

Writers: Rituparno Ghosh

, Rabindranath Tagore

Runtime: 2 h 47 min

Production: SVF Entertainment

Country: India

Language: Bengali

Box office:

Worldwide:$146.7K

Adaptation/remake:

based on novel

N/A

No Rotten Tomatoes ratings imported yet.

No Metacritic ratings imported yet.

75%75%

75% of the Stars & Main Cast are Female.

75% of the Stars & Main Cast are "diverse."

Indian66.67%White16.67%Jewish8.33%Asian8.33%

N/A

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Methodology

Prison Farm (1938)

Summary: A young woman falls in love with with an armed robber. She gets arrested while visiting him in prison, and winds up in prison herself.

Release Date: June 17, 1938

Genres: Adventure, Drama, Crime

Director: Louis King

Writers: Edwin V. Westrate

, Eddie Welch

, Robert Yost

Runtime: 1 h 07 min

MPAA: Approved

Production: Paramount Pictures

Distributor: Paramount Pictures, MCA/Universal Pictures

Country: United States

Language: English

Possible Big Business:

Production:

Paramount Pictures

N/A

No Rotten Tomatoes ratings imported yet.

No Metacritic ratings imported yet.

44%6%

44% of the Stars & Main Cast are Female.

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

White94.44%Asian5.56%

N/A

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IMDb:

Moviemeter:

OFDb:

Methodology

Fading Petals (2022)

Summary: A young woman appears at a sickly older woman's home in order to assist her. Despite their misgivings, the two slowly open up to one another. However, their affinity is short lived when truths are revealed as matters spiral out of...

Release Date: March 04, 2022

Genre: Drama

Director: Bradley Charlton

Writer: Bradley Charlton

Runtime: 1 h 33 min

Production: Crazy Goose Productions

Country: United Kingdom

Language: English

Movie budget: $ 9,500

Budget:$9.5K

20%

The Rotten Tomatoes audience rated this 20% higher than the critics.

80%100%

No Metacritic ratings imported yet.

29%0%

29% of the Stars & Main Cast are Female.

0% of the Stars & Main Cast are "diverse."

White100%

N/A

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RottenTomatoes:

80%100%

IMDb:

Methodology

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Methodology

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