Table 1.

Descriptive statistics for study variables used in examining the spatial distribution of store count (N = 97)

	Mean (percent)	Std. Dev	Minimum	Maximum	VIF
Entropy index	0.52	0.33	0.00	1.00	5.38
Percentage — population below poverty	36.37	14.96	0.00	89.20	4.06
Clustering — Black population					5.79
High clustering	56.50%
Low clustering (reference)	43.50%
Clustering — White population					5.45
High clustering	50.80%
Low clustering (reference)	49.20%				1.94
Percentage — Hispanic	10.07	13.00	0.00	55.90	4.46
Percentage — household SNAP Recipient	36.76	15.64	0.00	91.00	5.27
Percentage — household with no vehicle	25.54	14.74	0.00	77.40	2.36
Percentage — vacant housing	21.51	10.37	0.00	48.40	1.68
Percentage — college educated	9.46	7.18	0.00	41.10	2.05

The continuous predictors are presented using their mean value and standard deviation whereas the categorical predictors are presented as percentages. The two categorical variables are the clustering of Black population and clustering of White population. The VIF column shows the variance inflation factor for each predictor, which measures the degree of multicollinearity in the predictors. A lesser VIF value indicates multicollinearity is minimal