A Monster in Paris

Summary: A 3D-animated movie set in Paris in the year 1910 and centered on a monster who lives in a garden and his love for a beautiful, young singer.

Release Date: October 12, 2011

Genres: Adventure, Comedy, Animation

Director: Bibo Bergeron

Writers: Bibo Bergeron

, Stéphane Kazandjian

Runtime: 1 h 30 min

MPAA: PG

Production: EuropaCorp, Bibo Films, France 3 Cinéma, uFund, Canal+, France Télévisions, CinéCinéma, Tax Shelter du Gouvernement Fédéral Belge, Umedia

Distributor: Shout! Factory

Countries: France, Belgium

Language: English

Movie budget: $ 25,000,000

Box office:

Budget:$25MWorldwide:$26.7M

-21%

The Rotten Tomatoes audience rated this -21% lower than the critics.

86%65%

No Metacritic ratings imported yet.

28%6%

28% of the Stars & Main Cast are Female.

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

White83.33%Jewish11.11%Latino5.56%

3.23

Commonsensemedia

Edu-value1/5
Message4/5
Role model4/5
Violence2/5
Sex2/5
Language2/5

Dove

Sex1/5
Language2/5
Violence1/5
Drugs1/5
Nudity1/5
Other1/5

This film gets a 3.23/5 family friendly score

Please help improve our site and

add a Family Friendly Rating.

CONTENT BREAKDOWN

Methodology

RottenTomatoes:

86%65%

Douban:

IMDb:

OFDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Jewish	Latino	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
Ethnic	3	3		6		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	3			3
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	14	3	1	18
Cast Percentages	77.78%	16.67%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":77.78,"color":"#2b908f","sliced":true,"selected":true},{"name":"Jewish","y":16.67,"color":"#ff0066","sliced":true,"selected":true},{"name":"Latino","y":5.56,"color":"#eeaaee","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2000) Percentage	69.1%	1.85%	12.5%		{"name":"U.S. Population (2000)","series":[{"name":"White","y":69.1,"color":"#2b908f"},{"name":"Arab","y":0.42,"color":"#DF5353"},{"name":"Asian","y":4.23,"color":"#90ee7e"},{"name":"Black","y":12.3,"color":"#f45b5b"},{"name":"Indian","y":0.6,"color":"#7798BF"},{"name":"Indigenous","y":0.9,"color":"#aaeeee"},{"name":"Latino","y":12.5,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":3.96,"color":"#55BF3B"},{"name":"Jewish","y":1.85,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2000) Representation	+8.68	+14.82	-6.94		{"name":"U.S. Population (2000)","series":[["White",69.1],["Jewish",1.85],["Latino",12.5]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Jewish","y":16.67,"color":"#ff0066"},{"name":"Latino","y":5.56,"color":"#eeaaee"}]}
U.S. Buying Power (2000) Percentage	81.25%		6.26%		{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	-3.47		-0.7		{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Jewish",0],["Latino",6.26]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Jewish","y":16.67,"color":"#ff0066"},{"name":"Latino","y":5.56,"color":"#eeaaee"}]}
U.S. Average Individual Income (2018) Percentage	75.87%		6.17%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":12379223097685,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":840599779788,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1483520178109,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":115688369276,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1006688175500,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":490838834659,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+1.91		-0.61		{"name":"U.S. Average Individual Income (2018)","series":[["White",75.87],["Jewish",0],["Latino",6.17]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Jewish","y":16.67,"color":"#ff0066"},{"name":"Latino","y":5.56,"color":"#eeaaee"}]}
World population (2002) Percentage	16.19%	0.34%	5.71%		{"name":"World population (2002) ","series":[{"name":"Mixed \/ Other","y":11666992036,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":35696748136,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":8526105205,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":101163632675,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":72726073172,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":212026003574,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":48323392485,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":132596647598,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2119021178,"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 (2002) Representation	+61.59	+16.33	-0.15		{"name":"World population (2002) ","series":[["White",16.19],["Jewish",0.34],["Latino",5.71]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Jewish","y":16.67,"color":"#ff0066"},{"name":"Latino","y":5.56,"color":"#eeaaee"}]}
World Buying Power Percentage	36.48%	1.11%	9.35%		{"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	+41.3	+15.56	-3.79		{"name":"World Buying Power","series":[["White",36.48],["Jewish",1.11],["Latino",9.35]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Jewish","y":16.67,"color":"#ff0066"},{"name":"Latino","y":5.56,"color":"#eeaaee"}]}
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.

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Parental Guide

Parental Guide: +add

This film gets a 3.23/5 family friendly score

MPAA Certification	No MPAA rating found yet. Add Family Friendly Rating?
IMDb Rating https://www.imdb.com/title/tt0961097/parentalguide last updated: 2024-10-25Update data
Commonsensemedia Rating https://www.commonsensemedia.org/movie-reviews/a-monster-in-paris last updated: 2024-10-25Update data
Edu-value 1/5	Kids will learn a bit about Parisian culture and landmarks, such as the Eiffel Tower, the various bridges, and the Cathedral of Notre Dame.
Message 4/5	There's a great message about not judging anyone by his or her appearances, and how true friends stick up for each other and help each other out no matter the wacky circumstances. Everyone needs a friend.
Role model 4/5	Francoeur is not a monster despite the fact that he's a ginormous mutant flea. He's quite sweet and has a beautiful singing voice. The mild-mannered Raoul and and humorous Emile are braver than they look, and they -- along with the women they fancy -- help to save Francoeur from a horrible fate.
Violence 2/5	At first the "monster" can seem scary, but he's quickly revealed to be harmless. A climactic confrontation involves a vehicle chase and then a frightening scene at the Eiffel Tower, where an armed villain shoots at people and the monster. A woman is nearly choked and another is held threateningly off the side of the Eiffel Tower; she almost plunges to her death. The monster falls from the Eiffel Tower and is momentarily presumed lost or dead.
Sex 2/5	A couple of kisses between couples who flirt through most of the movie.
Language 2/5	A few instances of exclamations such as "Oh my God" and "Jesus!" as well as insults such as "stupid" and "idiot."
Consumerism 0/5	A few instances of exclamations such as "Oh my God" and "Jesus!" as well as insults such as "stupid" and "idiot."
Drinking 0/5	There are adults drinking at a dance/concert lounge, but it's unclear whether the drinks are alcohol or not (presumably, being Paris, it is wine).
Dove Rating https://dove.org/review/9641-a-monster-in-paris/
Faith 0/5	None
Sex 1/5	Kissing by a couple.
Language 2/5	H-1; Moron-1; G/OMG-6; Idiot-2; Butt-2; Comments such as "Loser", "Dumb" and "Pest".
Violence 1/5	An explosion in the lab; gun fired at two people; an old woman hits a man; woman is choked and thrown off a structure.
Drugs 1/5	Champagne is delivered to a table and poured.
Nudity 1/5	Cleavage in a couple of scenes.
Other 1/5	A couple of jump scenes; a character sneezes on a windshield; a character has to hit the brakes on his car before hitting an elderly man; a man's fingers are caught in a truck door; a large hairy creature scares people; a woman steals a bike.

Methodology

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commonsensemedia.org
crosswalk.com

Global Consensus

Douban

rating: 7.8/10

OFDb

rating: 6.5/10

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A Monster in Paris

Stars:

Supporting cast:

Other cast:

Production:

Parental Guide: +add

IMDb Rating

Commonsensemedia Rating

Dove Rating

douban:

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