Table 3.
Sociodemographic Differences in Missingness in Sexual Orientation and Past Sexual Fluidity (N=4,245)
| Overall Sample (N=4,245) |
Missing Sex Assigned at Birth (N=28) |
Missing Attraction Change (N=34) |
Missing Sexual Orientation Identity Change (N=51) |
|||||
|---|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | n | % | |
| Age group | ||||||||
| 14-17 years | 440 | 10.4 | 2 | 7.1 | 4 | 11.8 | 7 | 13.7 |
| 18-21 years | 1,734 | 40.9 | 12 | 42.9 | 18 | 52.9 | 28 | 54.9 |
| 22-25 years | 2,071 | 48.8 | 14 | 50.0 | 12 | 35.3 | 16 | 31.4 |
| Missing | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 |
| Gender identity (constructed)b | ||||||||
| Cisgender girl/woman | 2,438 | 57.4 | - | 20 | 58.8 | 31 | 60.8 | |
| Cisgender boy/man | 1,540 | 36.3 | - | 14 | 41.2 | 19 | 37.3 | |
| Transgender girl/woman | 6 | 0.1 | - | 0 | 0.0 | 0 | 0.0 | |
| Transgender boy/man | 48 | 1.1 | - | 0 | 0.0 | 0 | 0.0 | |
| Nonbinary/additional identity or identities | 175 | 4.1 | - | 0 | 0.0 | 1 | 2.0 | |
| Missing | 38 | 0.2 | 28 | 100.0 | 0 | 0.0 | 0 | 0.0 |
| Sexual orientation identity | ||||||||
| Straight/heterosexual | 2,972 | 70.0 | 20 | 71.4 | 25 | 73.5 | 34 | 66.7 |
| Bisexual | 624 | 14.7 | 3 | 10.7 | 3 | 8.8 | 7 | 13.7 |
| Gay or lesbian | 181 | 4.3 | 1 | 3.6 | 2 | 5.9 | 3 | 5.9 |
| Pansexual | 188 | 4.4 | 3 | 10.7 | 0 | 0.0 | 0 | 0.0 |
| Queer | 43 | 1.0 | 0 | 0 | 0 | 0.0 | 0 | 0.0 |
| Asexual | 76 | 1.8 | 0 | 0 | 0 | 0.0 | 0 | 0.0 |
| Not sure | 112 | 2.6 | 1 | 3.6 | 0 | 0.0 | 2 | 3.9 |
| Another identity/identities | 32 | 0.8 | 0 | 0 | 0 | 0.0 | 0 | 0.0 |
| Missing | 17 | 0.4 | 0 | 0 | 4 | 11.8 | 5 | 9.8 |
| Race/ethnicity | ||||||||
| American Indian or Alaska Native | 51 | 1.2 | 0 | 0 | 3 | 8.8 | 1 | 2.0 |
| Asian | 378 | 8.9 | 1 | 3.6 | 2 | 5.9 | 2 | 3.9 |
| Black or African American | 701 | 16.5 | 5 | 17.9 | 8 | 23.5 | 7 | 13.7 |
| Latina/o/x and/or Hispanic | 206 | 4.9 | 1 | 3.6 | 7 | 20.6 | 7 | 13.7 |
| Native Hawaiian or Other Pacific Islander | 12 | 0.3 | 0 | 0 | 0 | 0.0 | 1 | 2.0 |
| White | 2,003 | 47.2 | 14 | 50.0 | 12 | 35.3 | 17 | 33.3 |
| Another race | 23 | 0.5 | 0 | 0 | 0 | 0.0 | 1 | 2.0 |
| Selected multiple races/ethnicities | 849 | 20.0 | 6 | 21.4 | 2 | 5.9 | 12 | 23.5 |
| Missing | 21 | 0.5 | 1 | 3.6 | 0 | 0.0 | 3 | 5.9 |
| Urban-rural categoryb | ||||||||
| Large central metro | 1,333 | 31.4 | 9 | 32.1 | 13 | 38.2 | 19 | 37.3 |
| Large fringe metro | 1,051 | 24.8 | 7 | 25.0 | 4 | 11.8 | 8 | 15.6 |
| Medium metro | 885 | 20.9 | 7 | 25.0 | 5 | 14.7 | 10 | 19.6 |
| Small metro | 419 | 9.9 | 3 | 10.7 | 5 | 14.7 | 7 | 13.7 |
| Micropolitan | 338 | 8.0 | 2 | 7.1 | 5 | 14.7 | 5 | 9.8 |
| Non-core | 214 | 5.0 | 0 | 0 | 2 | 5.9 | 2 | 3.9 |
| Missing | 5 | 0.1 | 0 | 0 | 0 | 0.0 | 0 | 0.0 |
Variable constructed from sex assigned at birth and gender identity.
County was determined based on zip code, using the National Center for Health Statistics urban-rural county categories, 2013.