Table 4.
Descriptive Statistics for Variables in Multilevel Regression Equations Predicting Community Economic Problems
| Mean | SD | Mean | SD | |
|---|---|---|---|---|
|
|
|
|||
| Community-level variables (N = 24 communities) | ||||
| CTC v. control community status | 0.50 | 0.51 | ||
| Economic indicators | 2009 Values | Post-downturn annual change | ||
| County unemployment (%) | 8.80 | 2.88 | 1.72 | 0.59 |
| 90+-day loan delinquencies (%) | 2.26 | 0.76 | 0.58 | 0.14 |
| County poverty, ages 5 to 17 (%) | 16.78 | 4.90 | 0.82 | 0.47 |
| Key leader characteristics (N = 313 key leaders) | ||||
| Referred leaders (%) | 32.59 | 47.10 | ||
| Female (%) | 37.38 | 48.36 | ||
| MA degree or higher (%) | 43.77 | 49.72 | ||
| Age (years) | 51.38 | 10.15 | ||
| Years in community | 18.04 | 17.98 | ||
| Employment sector (%) | ||||
| Business | 8.31 | 27.63 | ||
| Churches | 7.03 | 25.56 | ||
| Civic | 9.58 | 29.51 | ||
| Community coalitions | 7.35 | 26.06 | ||
| Human services | 13.10 | 33.79 | ||
| Judiciary | 9.90 | 29.91 | ||
| Law enforcement | 10.22 | 30.31 | ||
| Media | 7.67 | 26.70 | ||
| Recreation organizations | 7.99 | 27.17 | ||
| Health care | 8.95 | 28.52 | ||
| Schools | 9.90 | 29.91 | ||