Table 2.
Descriptive statistics and correlation matrix for independent variables
| Variables | Mean (S.D.) |
(1) | (2) | (3) | (4) | (5) | (6) | (7) |
|---|---|---|---|---|---|---|---|---|
| Continuous variables | ||||||||
| (1) Population density (in thousands) |
2.444 (2.482) |
1 | ||||||
| (2) Age dependency ratio x 100 |
63.102 (20.981) |
–0.407** | 1 | |||||
| (3) Socioeconomic vulnerability index |
51.353 (28.369) |
0.071 | –0.114** | 1 | ||||
| (4) % Retail industry employment |
11.865 (5.443) |
–0.181** | –0.005 | 0.172** | 1 | |||
| Binary variables | ||||||||
| (5) Black or Hispanic majority (0,1) |
0.101 (0.301) |
0.274** | –0.015 | 0.403** | –0.114** | 1 | ||
| (6) No racial or ethnic majority (0, 1) |
0.048 (0.214) |
0.161** | –0.111** | 0.110** | –0.016 | –0.072 | 1 | |
| (7) K-12 public school (0,1) |
0.670 (0.471) |
–0.096* | 0.015 | –0.000 | –0.014 | –0.052 | –0.049 | 1 |
| Sample size | 606 |
Note The statistical significance of pairwise Pearson correlation coefficients are denoted by * and ** for significance at the 5% and 1% levels, respectively