Appendix Table A3.
Logistic Regression Sensitivity Anlysis Using a 70% Threshold to Define Diversity (n = 3,927)
| Odds Ratio | 95% CI | |
|---|---|---|
|
| ||
| Location type (ref: Nonmetro not adjacent to metro) | ||
| Central City | 0.13 | (0.06, 0.29) |
| Suburb in large metro | 2.09 | (1.52, 2.87) |
| Suburb in small-med metro | 1.76 | (1.30, 2.38) |
| Nonmetro adjacent to metro | 1.08 | (0.76, 1.52) |
|
| ||
| Place race and ethnic | ||
| composition (25% criterion) | ||
| Black (5%) | 0.53 | (0.39, 0.73) |
| Asian (2%) | 3.84 | (2.90, 5.08) |
| Latinx (6%) | 2.13 | (1.59, 2.85) |
| Native American (2%) | 3.20 | (2.14, 4.80) |
|
| ||
| Region (ref: South) | ||
| North | 1.39 | (0.46, 4.19) |
| Midwest | 1.27 | (0.36, 4.53) |
| West | 4.74 | (2.61, 8.61) |
|
| ||
| Race by Region (ref: South) | ||
| Black | ||
| North | 2.09 | (1.09, 4.00) |
| Midwest | 4.70 | (1.68, 13.12) |
| West | 1.57 | (0.99, 2.47) |
| Latinx | ||
| North | 0.20 | (0.10, 0.40) |
| Midwest | 0.52 | (0.24, 1.14) |
| West | 0.32 | (0.19, 0.52) |
| Asian | ||
| North | 1.45 | (0.58, 3.64) |
| Midwest | 0.31 | (0.15, 0.61) |
| West | 0.46 | (0.31, 0.68) |
| Native | ||
| North | 0.00 | (0.00, >100) |
| Midwest | 0.09 | (0.01, 0.95) |
| West | 0.21 | (0.12, 0.36) |
|
| ||
| Employment hub | ||
| Military | 2.72 | (2.06, 3.58) |
| University | 1.96 | (1.34, 2.88) |
| Public sector | 1.78 | (1.39, 2.28) |
|
| ||
| Percent variablesa | ||
| Foreign-born | 1.18 | (1.09, 1.27) |
| Renters' share | 1.00 | (0.95, 1.05) |
| New housing stock | 1.10 | (1.06, 1.15) |
|
| ||
| Spatially lagged rate of integration | 21.33 | (15.33, 29.68) |
a.
Percentage variables were scaled to units of 10 percentage-points for easier interpretation of effect sizes. For example, a 10 percentage-point increase in foreign-born population associates with an odds ratio of 1.20.