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Lingua Franca

Summary: An undocumented Filipina trans woman falls in love in Brooklyn.
Runtime: 1 h 29 min
MPAA: Unrated

Production: 7107 Entertainment
Language: English
N/A
33%13%
White87.5%Black6.25%Asian6.25%
N/A
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Cast
Other Cast, Production
Representation
RaceWhiteJewishAsianLatinoArabBlackTotalVisualsInfo
Kairos111113
Forebears21115
Total131111118
Cast Percentages72.22%5.56%5.56%5.56%5.56%5.56%100%
U.S. Population (2020) Percentage57.84%2.02%6%18.73%0.54%12.4%
Source:
US Census
(Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2020) Representation+14.38+3.54-0.44-13.17+5.02-6.84
U.S. Buying Power (2018) Percentage74.35%6.2%9.42%7.96%
U.S. Buying Power (2018) Representation-2.13-0.64-3.86-2.4
U.S. Average Individual Income (2018) Percentage65.34%7.52%9.51%9.43%
U.S. Average Individual Income (2018) Representation+6.88-1.96-3.95-3.87
World population (2019) Percentage14.24%0.34%31.25%5.62%8.82%14.47%
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+57.98+5.22-25.69-0.06-3.26-8.91
World Buying Power Percentage36.48%1.11%29.46%9.35%6.38%6.38%
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+35.74+4.45-23.9-3.79-0.82-0.82
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.
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.
Arab Americans are less than 1% of the US population and often check "White" or "Other" on the US Census. And the only data available for them started when the US Census added ancestry in 1980. So assume a less than 1% margin of error and overlap with the "White" and "Other" categories.
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