Table 1.
Sample Demographics
| Characteristic | Total Sample (N = 695) n (%) |
Boomers+ (n = 27) n (%) |
Generation X (n = 55) n (%) |
Millennials (n = 415) n (%) |
Generation Z (n = 196) n (%) |
|---|---|---|---|---|---|
| Gender Identity | |||||
| Transgender Man | 180 (25.9%) | 2 (7.4%) | 10 (18.2%) | 109 (26.3%) | 58 (29.6%) |
| Transgender Woman | 105 (15.1%) | 17 (63%) | 22 (40%) | 50 (12%) | 16 (8.2%) |
| Woman | 10 (1.4%) | 2 (7.4%) | 0 | 6 (1.4%) | 2 (1%) |
| Man | 31 (4.5%) | 0 | 3 (5.5%) | 22 (5.3%) | 6 (3.1%) |
| Genderqueer | 87 (12.5%) | 3 (11.1%) | 8 (14.5%) | 62 (14.9%) | 14 (7.1%) |
| Nonbinary | 132 (19%) | 2 (7.4%) | 6 (10.9%) | 76 (18.3%) | 48 (24.5%) |
| Agender | 66 (9.5%) | 0 | 2 (3.6%) | 41 (9.9%) | 23 (11.7%) |
| Androgyne | 7 (1%) | 0 | 2 (3.6%) | 5 (1.2%) | 0 |
| Bigender | 22 (3.2%) | 0 | 1 (1.8%) | 14 (3.4%) | 7 (3.6%) |
| Option Not Listed | 55 (7.9%) | 2 (7.4%) | 1 (1.8%) | 30 (7.2%) | 22 (11.2%) |
| Sex Assigned at Birth | |||||
| Female | 534 (76.8%) | 8 (29.6%) | 29 (52.7%) | 329 (79.3%) | 166 (84.7%) |
| Male | 156 (22.4%) | 19 (70.4%) | 25 (45.5%) | 83 (20%) | 29 (14.8%) |
| Difference of Sex Development | |||||
| Unsure | 124 (17.8%) | 6 (22.2%) | 11 (20%) | 74 (17.8%) | 33 (16.8%) |
| Yes | 20 (2.9%) | 0 | 3 (5.5%) | 11 (2.7%) | 6 (3.1%) |
| No | 551 (79.3%) | 21 (77.8%) | 41 (74.5%) | 330 (79.5%) | 157 (80.1%) |
| Sexual Orientation | |||||
| Queer | 174 (25%) | 5 (18.5%) | 16 (29.1%) | 123 (29.6%) | 29 (14.8%) |
| Pansexual | 130 (18.7%) | 5 (18.5%) | 9 (16.4%) | 65 (15.7%) | 51 (26%) |
| Bisexual | 106 (15.3%) | 4 (14.8%) | 13 (23.6%) | 58 (14%) | 31 (15.8%) |
| Gay | 62 (8.9%) | 2 (7.4%) | 2 (3.6%) | 35 (8.4%) | 23 (11.7%) |
| Asexual | 100 (14.4%) | 2 (7.4%) | 4 (7.3%) | 59 (14.2%) | 34 (17.3%) |
| Heterosexual | 38 (5.5%) | 3 (11.1%) | 6 (10.9%) | 26 (6.3%) | 3 (1.5%) |
| Lesbian | 35 (5%) | 4 (14.8%) | 4 (7.3%) | 18 (4.3%) | 9 (4.6%) |
| Option Not Listed | 50 (7.2%) | 2 (7.4%) | 1 (1.8%) | 31 (7.5%) | 16 (8.2%) |
| Race/Ethnicity | |||||
| White | 526 (75.7%) | 23 (85.2%) | 45 (81.8%) | 317 (76.4%) | 139 (70.9%) |
| Black/African American | 13 (1.9%) | 1 (3.7%) | 1 (1.8%) | 5 (1.2%) | 6 (3.1%) |
| American Indian or Alaska Native | 1 (0.1%) | 0 | 0 | 1 (0.2%) | 0 |
| Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 0 | 0 |
| Asian | 21 (3%) | 0 | 1 (1.8%) | 13 (3.1%) | 7 (3.6%) |
| Latino/a | 25 (3.6%) | 0 | 2 (3.6%) | 12 (2.9%) | 11 (5.6%) |
| Option Not Listed | 8 (1.2%) | 1 (3.7%) | 0 | 6 (1.4%) | 1 (0.5%) |
| Multiracial/Multiethnic | 98 (14.1%) | 2 (7.4%) | 6 (10.9%) | 58 (14%) | 32 (16.3%) |
| Education | |||||
| Less than high school diploma | 91 (13.1%) | 0 | 0 | 3 (0.7%) | 87 (44.4%) |
| High school graduate or equivalent | 88 (12.7%) | 0 | 4 (7.3%) | 46 (11.1%) | 38 (19.4%) |
| Some college, but have not graduated | 228 (32.8%) | 3 (11.1%) | 12 (21.8%) | 144 (34.7%) | 69 (35.2%) |
| Associates degree or technical school degree | 52 (7.5%) | 7 (25.9%) | 5 (9.1%) | 39 (9.4%) | 1 (0.5%) |
| Bachelor’s degree | 160 (23%) | 10 (37%) | 19 (34.5%) | 130 (31.3%) | 1 (0.5%) |
| Master’s degree | 63 (9.1%) | 5 (18.5%) | 12 (21.8%) | 45 (10.8%) | 0 |
| Doctorate or professional degree | 13 (1.9%) | 2 (7.4%) | 3 (5.5%) | 8 (1.9%) | 0 |
| Income | |||||
| Less than $10,000 | 357 (51.4%) | 6 (22.2%) | 13 (23.6%) | 193 (46.5%) | 143 (73%) |
| $10–19,999 | 112 (16.1%) | 6 (22.2%) | 5 (9.1%) | 91 (21.9%) | 10 (5.1%) |
| $20–29,999 | 59 (8.5%) | 2 (7.4%) | 4 (7.3%) | 47 (11.3%) | 6 (3.1%) |
| $30–39,999 | 49 (7.1%) | 3 (11.1%) | 3 (5.5%) | 34 (8.2%) | 9 (4.6%) |
| $40–49,999 | 39 (5.6%) | 4 (14.8%) | 10 (18.2%) | 19 (4.6%) | 6 (3.1%) |
| $50–69,999 | 36 (5.2%) | 2 (7.4%) | 10 (18.2%) | 17 (4.1%) | 7 (3.6%) |
| $70–99,999 | 29 (4.2%) | 2 (7.4%) | 9 (16.4%) | 10 (2.4%) | 8 (4.1%) |
| Over $100,000 | 11 (1.6%) | 2 (7.4%) | 1 (1.8%) | 3 (0.7%) | 5 (2.6%) |
Note. There were 5 participants with missing data on the question asking about sex assigned at birth, and 3 participants with missing data about their race/ethnicity and income. The classification of “man” and “woman” refer to trans men and trans women respectively, as there were no cisgender individuals in the sample. For analyses, the categories of “man” and “transgender man” were combined, as were the categories of “woman” and “transgender woman.” These options were provided for participants who do not identify with the prefix of “trans” for their gender identities.