Appendix A.

Components Generated by Principal Components Analysis of Stability, Wealth, Economic Disadvantage, and Healthcare Access Variables

Component	Constituent Variables	Correlations of constituent variables with component
Stability₸
Eigenvalue: 21.27	Percent same home	0.996
Variance explained: 95%	Male: female sex ratio	0.08
Wealthⱡ
Eigenvalue: 2.59	Percent college educated	0.60
Variance explained: 86%	Percent high income households	0.58
	Percent expensive homes	0.55
Economic disadvantageⱡ
Eigenvalue: 4.39	Median income	−0.47
Variance explained: 88%	Percent unemployed	0.43
	Percent in poverty	0.45
	Percent on public assistance	0.46
	Percent without a high school education	0.43
Poor access to healthcare‡
Eigenvalue: 0.005	Percent uninsured	0.93
Variance explained: 87%	Percent went without needed care	0.37

^₸Covariance matrix used as there are only two constituent variables, both measured on the same scale. Note the correlation matrix eigenvector was 1.32 and it explained 68% of the variance.

^ⱡCorrelation matrix used.

^‡Covariance matrix used as there are only two constituent variabiles, both measured on the same scale. Note the correlation matrix eigenvector was 1.60 and it explained 80% of the variance.