Table 1.
Demographic variables by number and percent of participants for N = 90
| Demographic Variable | N (%) | Demographic Variable | N (%) |
|---|---|---|---|
| Gender | Substance Use Past 30 Days | ||
| Male | 46 (51%) | Alcohol | 49 (54%) |
| Female | 43 (48%) | Marijuana | 14 (15%) |
| Transgender | 1 (1%) | Cocaine | 31 (34%) |
| Race/ethnicity | Crack | 42 (47%) | |
| Black & Caribbean | 28 (31%) | Heroin | 23 (26%) |
| Hispanic/Blk Hispanic | 32 (36%) | Amphetamine | 90 (100%) |
| White | 29 (32%) | Street Methadone | 13 (14%) |
| Other | 1 (1%) | Speedball | 18 (20%) |
| Education | IDU | 38 (42%) | |
| No formal education | 22 (24%) | Unemployed | 49 (55%) |
| Elementary | 12 (13%) | Income last 30 days | |
| Middle school | 28 (31%) | None | 30 (33%) |
| Some high school | 18 (20%) | $1–$249 | 35 (39%) |
| High school Grad or GED | 6 (7%) | $250–$499 | 12 (13%) |
| Some college | 4 (4%) | $500–$999 | 7 (8%) |
| Marginal housing | 49 (54%) | $1,000–$3.999 | 2 (2%) |
| History of incarceration | 59 (66%) | Income Source | |
| MSM | 22 (24%) | Steady Work | 30 (33%) |
| Caring for a Child | 19(21) | Pick up jobs | 25 (28%) |
| Welfare | 15 (17% | ||
| Disability | 10 (11%) | ||
| Illegal activities | 25 (28%) |
Note. Missing data or multiple category responses resulted in some percentages not equaling 100.