The Night Clerk

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Summary: A voyeuristic hotel clerk becomes the subject of a murder investigation.

Release Date: February 21, 2020

Genres: Drama, Crime, Mystery

Director: Michael Cristofer

Writer: Michael Cristofer

Runtime: 1 h 30 min

MPAA: R

Production: Convergent Media., Highland Film Group (HFG), WulfPak Productions

Country: United States

Language: English

Box office:

Worldwide:$302.1K

-6%

The Rotten Tomatoes audience rated this -6% lower than the critics.

37%31%

The Metacritic audience rated this 20% higher than the critics.

Metacritic Meta:

44/100

Metacritic User:

64/100

44%29%

44% of the Stars & Main Cast are Female.

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

White64.71%Asian11.76%Latino5.88%Black5.88%Mixed / Other5.88%Jewish5.88%

2.00

MPAAR

IMDb

NUDITYMildVIOLENCEModeratePROFANITYMildALCOHOLMildFRIGHTENINGMild

Commonsensemedia

Message2/5
Role model2/5
Violence4/5
Sex4/5
Language4/5
Drugs2/5

This film gets a 2.00/5 family friendly score

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

37%31%

Douban:

Eiga:

IMDb:

Metacritic:

Metacritic User:

Moviemeter:

OFDb:

Wokeness

Thecherrypicks:

Methodology

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Stars:

Supporting cast:

Other cast:

Production:

Star

Supporting

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Production

Race	White	Asian	Total	Visuals	Info
Kairos	15	1	16		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/
Forebears	1		1
Total	17	1	18
Cast Percentages	94.44%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":94.44,"color":"#2b908f","sliced":true,"selected":true},{"name":"Asian","y":5.56,"color":"#90ee7e","sliced":true,"selected":true}],"prefix":""}
U.S. Population (1940) Percentage	89.8%	0.19%		{"name":"U.S. Population (1940)","series":[{"name":"White","y":89.8,"color":"#2b908f"},{"name":"Arab","y":0,"color":"#DF5353"},{"name":"Asian","y":0.19,"color":"#90ee7e"},{"name":"Black","y":9.8,"color":"#f45b5b"},{"name":"Indian","y":0,"color":"#7798BF"},{"name":"Indigenous","y":0.3,"color":"#aaeeee"},{"name":"Latino","y":1.5,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":0,"color":"#55BF3B"},{"name":"Jewish","y":3,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (1940) Representation	+4.64	+5.37		{"name":"U.S. Population (1940)","series":[["White",89.8],["Asian",0.19]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Buying Power (2000) Percentage	81.25%	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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	+13.19	+2.06		{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Asian",3.5]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Average Individual Income (2018) Percentage	92.1%	0.22%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":10105392917246,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":23717233578,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":742464934266,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":24223113823,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":75881820000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":0,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+2.34	+5.34		{"name":"U.S. Average Individual Income (2018)","series":[["White",92.1],["Asian",0.22]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World population (1960) Percentage	24.26%	35.14%		{"name":"World population (1960) ","series":[{"name":"Mixed \/ Other","y":5505891663,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":16303932915,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":3319084808,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":73088413576,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":26323680328,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":105885338709,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":16554213546,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":53158782795,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":1167943535,"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 (1960) Representation	+70.18	-29.58		{"name":"World population (1960) ","series":[["White",24.26],["Asian",35.14]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World Buying Power Percentage	36.48%	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	+57.96	-23.9		{"name":"World Buying Power","series":[["White",36.48],["Asian",29.46]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
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.

adult child lives at home aerial camera shot asperger asperger's syndrome avoiding eye contact backhand slap barber barbershop barefoot female black and white scene broken heart car dealership car salesman caught spying cctv character repeats someone else's dialogue checking into a hotel cigarette cigarette smoking climbing out of a swimming pool close up of eye close up of lips close up of mouth convertible demanding an explanation dog chewing on a shoe dream sequence eating ice cream eating ice cream from the container f word female enabler female nudity femme fatale gas station gas station attendant gray hoodie gun hard drive hidden camera hotel desk clerk hotel lobby hotel receptionist hotel room hotel swimming pool interrogation introvert introverted protagonist jump cut lie as an excuse living in a basement man punches a woman man rests his head on woman's shoulder man slaps a woman man wears sweatpants man's head on woman's lap manipulative woman matchbook memory card mini cooper mother son relationship mother son talk murder murder investigation murder suspect name calling name tag new car nickname night clerk no opening credits obese man overhead camera shot perfume counter police detective profanity protagonist autistic psychological thriller punched in the face punched in the face multiple times receptionist as protagonist red hoodie reference to asperger's syndrome reference to dr. seuss reference to if i ran the zoo reference to jesus christ repeating someone's words repeating the same sentence resting one's head on someone's lap resting one's head on someone's shoulder searching for the truth shopping mall small talk socially awkward socially awkward man socially awkward protagonist split lip spooning spying spying on someone star as producer supermarket surveillance footage surveillance video swimming pool taking further action telling someone to shut up the truth threatened with a gun topless swimming voyeur voyeurism waking from a dream woman shoves a man woman wears a robe woman wrapped in a towel worried mother writer director written by director

Parental Guide: +add

This film gets a 2/5 family friendly score

MPAA Certification	Rated R for language, some sexual references, brief nudity and violent images
International Certification	Argentina : 16Australia : MBrazil : 14Egypt : RFrance : 16Germany : 12Italy : TJapan : GNorway : 12Philippines : R-13Poland : 16Portugal : M/14South Korea : 15Spain : 12Sweden : 15Turkey : 13+United Kingdom : 15United States : RUnited Arab Emirates : 15+Vietnam : C18
IMDb Rating https://www.imdb.com/title/tt7979142/parentalguide last updated: 2024-05-28Update data
Nudity Mild	A woman's bare breasts are shown when she exits the pool. Lasts about 10 seconds.
Violence Moderate	A Woman is shown being repeatedly punched in the face on security footage A woman is hit in the face causing her lip to bleed A woman is shot, her dead body is shown bloody and bruised
Profanity Mild	The word 'fuck' is used 13 times in the film.
Alcohol Mild	Andrea is seen smoking a few times throughout the movie
Commonsensemedia Rating https://www.commonsensemedia.org/movie-reviews/the-night-clerk last updated: 2024-05-28Update data
Message 2/5	Amid the twisty thriller/murder elements, the movie has a fairly strong sense of empathy, showing how connecting with another is preferable to judging or dismissing someone as "weird."
Role model 2/5	Bart is a well-drawn, three-dimensional representation of a character with Asperger's. His behavior is explained and accepted, even as he continues to try to connect with others. He does hit a few bumps in the road and must make some tough decisions. Angela is shown as understanding and compassionate (thanks to having a brother with Asperger's).
Violence 4/5	Dead body shown, with huge blood puddle. Some bloodstains, bloody wounds. A man roughs up a woman, shoving her down on a bed and slapping her. Guns shown. Gunshot noise heard.
Sex 4/5	Topless woman. Kissing. A man meets with two different women in hotel rooms. Sex-related dialogue, mentions of "porn."
Language 4/5	Several uses of "f--k," plus "s--t," "ass," "hell," "bastard," "oh God," and "shut up."
Drugs 2/5	Beer with dinner. Social drinking. Cigarette smoking. Reference to "vaping."

Methodology

Other sources

boxofficemom.com
commonsensemedia.org
crosswalk.com

Douban

rating: 5.6/10

Eiga

rating: 2.7/5

MovieMeter

rating: 2.7/5

OFDb

rating: 5.2/10

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