Eigenvectors for the principal component analysis
| Eigenvectors | ||
|---|---|---|
| Population component | Economic component | |
| Bold eigenvectors distinguish individual variables of the principal component structures. | ||
| Racial segregation (Gini coefficient) | 0.23 | 0.00 |
| Total population | 0.51 | 0.12 |
| Population density | 0.44 | 0.27 |
| Percentage male | −0.19 | −0.24 |
| Percentage men divorced | 0.16 | 0.13 |
| Unemployment (percentage men unemployed) | −0.12 | 0.50 |
| Income (median household) income | 0.35 | −0.42 |
| Poverty (percentage below the poverty line) | −0.15 | 0.52 |
| High school graduate (%) | 0.21 | −0.31 |
| Racial composition (percentage non-white) | 0.48 | 0.21 |
| Family stability (percentage female headed households) | 0.45 | −0.15 |
| Income inequality | 0.27 | 0.16 |