Black Moon Rising

Summary: A thief named Quint is hired by the Justice Department to steal incriminating tapes from a corrupt corporation. The tapes vanish when Quint hides them in the back of a hydrodynamic powered racing car that is stolen by a hot car ring.

Release Date: January 10, 1986

Genres: Action, Crime, Thriller

Director: Harley Cokeliss

Writers: John Carpenter

, Desmond Nakano

, William Gray

Runtime: 1 h 40 min

MPAA: 13+

Production: New World Pictures, Sequoia Productions (II)

Distributor: Image Entertainment, R&G Video, Starmaker Entertainment, Anchor Bay Entertainment, 20th Television

Country: United States

Language: English

Domestic: $ 6,637,565

Box office:

Domestic:$6.6MWorldwide:$6.6M

-20%

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

43%23%

The average Metacritic score is 53%.

Metacritic Meta:

53/100

6%29%

6% of the Stars & Main Cast are Female.

29% of the Stars & Main Cast are "diverse."

White70.59%Latino17.65%Black11.76%

N/A

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

43%23%

Eiga:

IMDb:

Kinopoisk:

Metacritic:

OFDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Black	Asian	Mixed / Other	Total	Visuals	Info
Kairos	7		1		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
Forebears	3	2	1		6
Ethnic	2	1		1	4		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/
Total	12	3	2	1	18
Cast Percentages	66.67%	16.67%	11.11%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":66.67,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":16.67,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":11.11,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	57.84%	12.4%	6%	9.32%		{"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	+8.83	+4.27	+5.11	-3.76		{"name":"U.S. Population (2020)","series":[["White",57.84],["Black",12.4],["Asian",6],["Mixed \/ Other",9.32]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"}]}
U.S. Buying Power (2023) Percentage	72.69%	8.02%	6.97%	1.54%		{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2023) Representation	-6.02	+8.65	+4.14	+4.02		{"name":"U.S. Buying Power (2023)","series":[["White",72.69],["Black",8.02],["Asian",6.97],["Mixed \/ Other",1.54]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"}]}
U.S. Average Individual Income (2018) Percentage	65.34%	9.43%	7.52%	7.28%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11825174998483,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1360705388565,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1706765993728,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":164296821776,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1721419354421,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1318328353188,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+1.33	+7.24	+3.59	-1.72		{"name":"U.S. Average Individual Income (2018)","series":[["White",65.34],["Black",9.43],["Asian",7.52],["Mixed \/ Other",7.28]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"}]}
World population (2019) Percentage	14.24%	14.47%	31.25%	1.92%		{"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	+52.43	+2.2	-20.14	+3.64		{"name":"World population (2019) ","series":[["White",14.24],["Black",14.47],["Asian",31.25],["Mixed \/ Other",1.92]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"}]}
World Buying Power Percentage	36.48%	6.38%	29.46%	1.81%		{"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	+10.29	-18.35	+3.75		{"name":"World Buying Power","series":[["White",36.48],["Black",6.38],["Asian",29.46],["Mixed \/ Other",1.81]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"}]}
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.	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.

Tags / Keywords

anti hero art gallery assassin attempted robbery automobile bar bare breasts beating bodyguard brawl brutality building c4 explosives car car chase car showroom carjacking chase company convenience store corporate crime corpse cruelty death of friend deception elevator escape evidence explosion factory fbi agent fbi federal bureau of investigation female nudity female thief fight fistfight foot chase gangster gas station gun hand to hand combat heist held at gunpoint henchman hit by a car independent film investigation japanese businessman kicked in the crotch kicking las vegas nevada los angeles california machine gun mafia martial arts mixed martial arts murder nipples one man army opening action scene organized crime pistol power outage premarital sex race against time razor blade restaurant revenge revolver robbery running science security camera security guard sex shooting shot in the chest shot to death shotgun showdown silencer speed stealing a car stolen car strangulation super car surveillance suspicion tape tension thief uzi vehicle videotape violence wiretapping woman on top

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Black Moon Rising

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Supporting cast:

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