The Big Green

Summary: A teacher on exchange from England is placed in an underachieving Texas school, where she coaches the students in soccer, improving their self-esteem and leading to unexpected success.

Release Date: September 29, 1995

Genres: Comedy, Family, Sport

Director: Holly Goldberg Sloan

Writer: Holly Goldberg Sloan

Runtime: 1 h 40 min

MPAA: PG

Production: Caravan Pictures, Walt Disney Pictures

Distributor: Buena Vista Pictures, Disney Channel, American Broadcasting Company (ABC)

Country: United States

Language: English

Movie budget: $ 12,000,000

Domestic: $ 17,736,619

Box office:

Budget:$12MDomestic:$17.7MWorldwide:$17.7M

Possible Big Business:

Production:

Walt Disney Pictures

N/A

The average Rotten Tomatoes audience score is 46%.

46%

No Metacritic ratings imported yet.

39%17%

39% of the Stars & Main Cast are Female.

17% of the Stars & Main Cast are "diverse."

White77.78%Asian11.11%Latino5.56%Jewish5.56%

1.95

Commonsensemedia

Message3/5
Role model3/5
Violence1/5
Sex1/5
Language1/5
Consumerism3/5
Drugs2/5

This film gets a 1.95/5 family friendly score

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

46%

IMDb:

OFDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Asian	Latino	Total	Visuals	Info
Forebears	9		1	10
Kairos	3	2		5		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
Surname	2			2		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/
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/
Total	15	2	1	18
Cast Percentages	83.33%	11.11%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":83.33,"color":"#2b908f","sliced":true,"selected":true},{"name":"Asian","y":11.11,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Latino","y":5.56,"color":"#eeaaee","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2000) Percentage	69.1%	4.23%	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	+14.23	+6.88	-6.94		{"name":"U.S. Population (2000)","series":[["White",69.1],["Asian",4.23],["Latino",12.5]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Latino","y":5.56,"color":"#eeaaee"}]}
U.S. Buying Power (2000) Percentage	81.25%	3.5%	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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	+2.08	+7.61	-0.7		{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Asian",3.5],["Latino",6.26]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Latino","y":5.56,"color":"#eeaaee"}]}
U.S. Average Individual Income (2018) Percentage	75.87%	5.15%	6.17%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":12379223097685,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":840599779788,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1483520178109,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":115688369276,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1006688175500,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":490838834659,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+7.46	+5.96	-0.61		{"name":"U.S. Average Individual Income (2018)","series":[["White",75.87],["Asian",5.15],["Latino",6.17]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Latino","y":5.56,"color":"#eeaaee"}]}
World population (2002) Percentage	16.19%	33.93%	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	+67.14	-22.82	-0.15		{"name":"World population (2002) ","series":[["White",16.19],["Asian",33.93],["Latino",5.71]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Latino","y":5.56,"color":"#eeaaee"}]}
World Buying Power Percentage	36.48%	29.46%	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	+46.85	-18.35	-3.79		{"name":"World Buying Power","series":[["White",36.48],["Asian",29.46],["Latino",9.35]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Latino","y":5.56,"color":"#eeaaee"}]}
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.

Tags / Keywords

chocolate milk close up of eyes color in title fast motion scene overalls slimehouse soccer soccer movie soccer sport sports team teamwork teen sport texas title spoken by character twin

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Parental Guide

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This film gets a 1.95/5 family friendly score

MPAA Certification	No MPAA rating found yet. Add Family Friendly Rating?
IMDb Rating https://www.imdb.com/title/tt0112499/parentalguide last updated: 2024-10-26Update data
Commonsensemedia Rating https://www.commonsensemedia.org/movie-reviews/the-big-green last updated: 2024-10-26Update data
Message 3/5	Team camaraderie, friendship, and support of one another's skills are all themes running through this feel-good movie.
Role model 3/5	Miss Montgomery breathes some life into the town of Elma because she believes in the potential of the kids in her class. Deputy Dog cares about the people in his community and he even agrees to sponsor a family who have illegal immigration status.
Violence 1/5	Some pushing and shoving among classmates. Kate has a pocket knife at school that she uses to carve graffiti on her desk.
Sex 1/5	The Knight's coach wagers Miss Montgomery a kiss if he wins the game. She responds that he must kiss the mascot goat if her team wins.
Language 1/5	"Damned," "hell," spoken by parents. "Kick butt" by kids.
Consumerism 3/5	Embedded product placement: "I wish we had a Pizza Hut in our town." and "We stopped at Pizza Hut." A bag of Cheetos makes a memorable appearance in the first scene.
Drugs 2/5	Kate's dad is a very heavy drinker, who is seen passed out drunk at a bar. Parents drink beer and smoke cigarettes in the local bar.