Djinn

Summary: Based on ancient middle eastern fairy tales written thousands of years ago and passed down from generation to generation. Imad's beautiful true love (Amina) is snatched in the middle of the night from her dream, in which Imad shar...

Release Date: March 06, 2008

Genre: Fantasy

Director: Shahin Sean Solimon

Writer: Shahin Sean Solimon

Runtime: 1 h 16 min

MPAA: Not Rated

Production: Giant Flick Films

Country: United States

Language: English

Movie budget: $ 20,000

Budget:$20K

N/A

The average Rotten Tomatoes audience score is 30%.

30%

No Metacritic ratings imported yet.

57%86%

57% of the Stars & Main Cast are Female.

86% of the Stars & Main Cast are "diverse."

Arab42.86%Latino28.57%Indian14.29%White14.29%

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

30%

IMDb:

Kinopoisk:

Moviemeter:

OFDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Black	Mixed / Other	Total	Visuals	Info
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/
Kairos	2	1		3		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	3			3		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/
Bettaface	1			1		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
Familysearch	1			1
Total	9	2	1	12
Cast Percentages	75%	16.67%	8.33%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":75,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":16.67,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":8.33,"color":"#55BF3B","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	57.84%	12.4%	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	+17.16	+4.27	-0.99		{"name":"U.S. Population (2020)","series":[["White",57.84],["Black",12.4],["Mixed \/ Other",9.32]],"cast":[{"name":"White","y":75,"color":"#2b908f"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Mixed \/ Other","y":8.33,"color":"#55BF3B"}]}
U.S. Buying Power (2023) Percentage	72.69%	8.02%	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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2023) Representation	+2.31	+8.65	+6.79		{"name":"U.S. Buying Power (2023)","series":[["White",72.69],["Black",8.02],["Mixed \/ Other",1.54]],"cast":[{"name":"White","y":75,"color":"#2b908f"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Mixed \/ Other","y":8.33,"color":"#55BF3B"}]}
U.S. Average Individual Income (2018) Percentage	65.34%	9.43%	7.28%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11825174998483,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1360705388565,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1706765993728,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":164296821776,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1721419354421,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1318328353188,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+9.66	+7.24	+1.05		{"name":"U.S. Average Individual Income (2018)","series":[["White",65.34],["Black",9.43],["Mixed \/ Other",7.28]],"cast":[{"name":"White","y":75,"color":"#2b908f"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Mixed \/ Other","y":8.33,"color":"#55BF3B"}]}
World population (2019) Percentage	14.24%	14.47%	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	+60.76	+2.2	+6.41		{"name":"World population (2019) ","series":[["White",14.24],["Black",14.47],["Mixed \/ Other",1.92]],"cast":[{"name":"White","y":75,"color":"#2b908f"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Mixed \/ Other","y":8.33,"color":"#55BF3B"}]}
World Buying Power Percentage	36.48%	6.38%	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	+38.52	+10.29	+6.52		{"name":"World Buying Power","series":[["White",36.48],["Black",6.38],["Mixed \/ Other",1.81]],"cast":[{"name":"White","y":75,"color":"#2b908f"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Mixed \/ Other","y":8.33,"color":"#55BF3B"}]}
Notes			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.

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djinn genie jinn sword and sorcery

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Djinn

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