Table 2.
FORGE (N = 127) |
TSS (N = 534) |
Overall (N = 661) |
|
---|---|---|---|
Age (years) | |||
18–24 | 4 (3.1%) | 185 (34.6%) | 189 (28.6%) |
25–34 | 12 (9.4%) | 132 (24.7%) | 144 (21.8%) |
35–44 | 61 (48.0%) | 154 (28.8%) | 215 (32.5%) |
45–54 | 50 (39.4%) | 63 (11.8%) | 113 (17.1%) |
Race | |||
Black | 88 (69.3%) | 133 (24.9%) | 221 (33.4%) |
Latinx | 6 (4.7%) | 198 (37.1%) | 204 (30.9%) |
White | 27 (21.3%) | 93 (17.4%) | 120 (18.2%) |
Some other identity | 6 (4.7%) | 101 (18.9%) | 107 (16.2%) |
Missing | 0 (0.0%) | 9 (1.7%) | 9 (1.4%) |
Education | |||
Less than high school diploma | 5 (3.9%) | 18 (3.4%) | 23 (3.5%) |
High school diploma/GED | 16 (12.6%) | 91 (17.0%) | 107 (16.2%) |
Some college | 31 (24.4%) | 166 (31.1%) | 197 (29.8%) |
Technical school/associate degree | 4 (3.1%) | 25 (4.7%) | 29 (4.4%) |
Bachelor’s degree | 32 (25.2%) | 129 (24.2%) | 161 (24.4%) |
Graduate degree | 35 (27.6%) | 101 (18.9%) | 136 (20.6%) |
Missing | 4 (3.1%) | 4 (0.7%) | 8 (1.2%) |
Sex/gender | |||
Female | 116 (91.3%) | 524 (98.1%) | 640 (96.8%) |
Transgender | 7 (5.5%) | 2 (0.4%) | 9 (1.4%) |
Non-binary | 4 (3.1%) | 8 (1.5%) | 12 (1.8%) |