Table 1.
Sample Demographics
| Characteristic | n (%) |
|---|---|
| Gender Identity | |
| Transman/Trans man | 77 (30.1%) |
| Transwoman/Trans woman | 60 (23.4%) |
| Man | 23 (9.0%) |
| Woman | 6 (2.3%) |
| Genderqueer | 35 (13.7%) |
| Non-binary | 28 (10.9%) |
| Agender | 6 (2.3%) |
| Androgyne | 3 (1.2%) |
| Bigender | 2 (0.8%) |
| An option not listed | 16 (6.3%) |
| Sex Assigned at Birth | |
| Female | 180 (70.3%) |
| Male | 73 (28.5%) |
| Difference of Sex Development | |
| No | 204 (79.7% |
| Yes | 7 (2.7) |
| Unsure | 45 (17.6%) |
| Sexual Orientation | |
| Gay | 24 (9.4%) |
| Lesbian | 11 (4.3%) |
| Bisexual | 37 (14.5%) |
| Queer | 80 (31.3%) |
| Pansexual | 54 (21.1%) |
| Asexual | 17 (6.6%) |
| Heterosexual/Straight | 17 (6.6%) |
| An option not listed | 16 (6.3%) |
| Race/Ethnicity | |
| White | 202 (78.9%) |
| Asian | 5 (2.0%) |
| Black/African American | 3 (1.2%) |
| Latino(a) | 7 (2.7%) |
| American Indian/Alaskan Native/Indigenous | 0 |
| Native Hawaiian or other Pacific Islander | 0 |
| Multiracial | 37 (14.5%) |
| Education | |
| Less than high school education | 20 (7.8%) |
| High school diploma or GED | 26 (10.2%) |
| Attended college, but no degree | 88 (34.4%) |
| Technical school degree | 5 (2.0%) |
| Associate degree | 15 (5.9%) |
| Bachelor’s degree | 69 (27.0%) |
| Master’s degree | 26 (10.2%) |
| Doctorate or professional degree | 7 (2.7%) |
| Annual Income | |
| Less than $10,000 | 116 (45.3%) |
| $10,000–19,999 | 53 (20.7%) |
| $20,000–29,999 | 17 (6.6%) |
| $30,000–39,999 | 17 (6.6%) |
| $40,000–49,999 | 19 (7.4%) |
| $50,000–69,999 | 19 (7.4%) |
| $70,000–99,999 | 9 (3.5%) |
| More than $100,000 | 4 (1.6%) |
Note. There were 3 missing responses regarding sex assigned at birth and 2 missing responses for race/ethnicity. For gender, all participants were transgender or gender nonconforming, thus the identities of “man” or “woman” can be interpreted as referring to an affirmed identity of participants instead of their sex assigned at birth.