Diversity statistics: a follow-up

This is a follow-up to my previous post analyzing the diversity of my stories.

Countesslovlace suggested looking only at my protagonists to see how diverse they were. Good idea. So let’s see.

Gender, Race, Sexual Orientation, Age, Class, and Ability by Protagonist.

40 protagonists. For aliens, I give their age as the approximate human equivalent. Remember that straight* means they show interest in the opposite sex, but we can’t rule out bisexuality.

45.0% female, 52.5% male, 2.5% other (machine)
30.0% Caucasian, 45.0% unknown, 15.0% people of color, 10.0% other (aliens, machine)
60.0% straight or straight*, 15.0% GLBT, 25.0% unknown
5.0% age 01-17, 52.5% age 18-35, 22.5% age 36-65, 10.0% age 66+, 10.0% other
25.0% upper, 25.0% middle, 45.0% working, 5.0% other
80.0% able or implied able, 20.0% disabled

I’ll also provide raw data so you can see how the characteristics line up with each other. I average 3.325 characters per story. (These are named characters and/or significant characters, not walk-ons.)

RAW DATA ON PROTAGONISTS

female, Native American, straight*, 18-35, working, able
male, Caucasian, straight, 36-65, upper, able
male, unknown, GLBT, 36-65, upper, able
female, unknown, straight, 18-35, middle, able
female, unknown, GLBT, 36-65, middle, able
female, Caucasian, straight*, 18-35, working, disabled
male, alien, unknown, unknown, upper, able
male, unknown, GLBT, 18-35, working, disabled
female, unknown, straight*, 18-35, working, able
female, Caucasian, unknown, 18-35, working, disabled
male, Caucasian, GLBT, 66+, middle, able
male, Caucasian, straight, 36-65, upper, able
male, Asian-American, unknown, 18-35, upper, able
male, unknown, straight*, 18-35, upper, able
female, unknown, straight*, 18-35, working, able
female, Caucasian, straight, 66+, middle, disabled
female, unknown, straight*, 18-35, working, able
male, alien, unknown, 18-35, working, disabled
male, unknown, straight*, 36-65, middle, able
male, unknown, unknown, 36-65, working, able
female, Hispanic, unknown, 18-35, upper, able
male, unknown, straight, 18-35, working, able
male, unknown, straight*, 36-65, middle, able
female, Caucasian, straight, 66+, middle, able
male, Caucasian, unknown, 18-35, middle, able
male, Caucasian, straight, 18-35, working, able
male, Caucasian, unknown, 0-17, middle, able
male, unknown, straight*, unknown, upper, able
male, alien, straight, 18-35, working, able
female, unknown, straight*, varies, varies, able
female, Caucasian, straight, 66+, working, disabled
male, African-American, unknown, 36-65, upper, able
female, Caucasian, GLBT, 18-35, working, disabled
male, Arab, straight, 36-65, working, able
female, unknown, straight, 18-35, working, disabled
female, unknown, straight*, 18-35, upper, able
male, unknown, straight*, 0-17, working, able
female, unknown, straight*, 18-35, middle, able
female, Asian, unknown, 18-35, working, able
other, machine, unknown, n/a, n/a, able

One story has no protagonist: Civilization.

One thought on “Diversity statistics: a follow-up

  1. Pingback: Vylar Kaftan » Submission history: what do you want to know?

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