Table 2.
Occupant and household characteristics of low-income green and non-green homes.
| Characteristics | Green Homes (N=28) | Non -Green Homes (N=14) | p-value |
|---|---|---|---|
| N (%) | N (%) | ||
|
| |||
| Race/Ethnicity | |||
| African American | 27 (96%) | 14 (100%) | 0.53 |
| White | 1 (4%) | 0 | 0.53 |
| Number of Occupants Per Household(median) | 4 | 4 | 0.29 a |
| Adults | 3 | 3 | 0.09 a |
| Children | 1 | 1 | 0.23 a |
| Presence of Pets | 5 (18%) | 4 (29%) | 0.41 |
| Smoking | |||
| Household member | 20 (71%) | 8 (57%) | 0.3 |
| Visitors in house | 19 (68%) | 9 (64%) | 0.84 |
| Level of Education | |||
| < High school diploma or GED | 3 (11%) | 6 (43%) | 0.02 |
| High school diploma or GED | 11 (39%) | 2 (14%) | 0.09 |
| Some college but no degree | 12 (43%) | 3 (21%) | 0.18 |
| Associate degree | 1 (4%) | 3 (21%) | 0.06 |
| Bachelor's degree | 1 (4%) | 0 | 0.49 |
| Annual Household Income | |||
| < $5000 | 18 (64%) | 5 (36%) | 0.08 |
| $5000 – $9,999 | 7 (25%) | 0 | 0.04 |
| $10,000 – $25,000 | 3 (11%) | 9 (64%) | <0.001 |
a
Two-sample t-test used to test differences for continuous variables. A chi-square test was used to test differences for categorical variables.