Table 2

Spearman correlations between credit scores and regression model covariates

	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)	(10)	(11)	(12)	(13)	(14)
Area-level characteristics
(1) Credit Scores	1.00
(2) Median Age	0.38	1.00
(3) % Income >$100 000	0.66	0.41	1.00
(4) % Grad Degree	0.56	0.31	0.62	1.00
(5) % NH Black	−0.67	−0.09	−0.47	−0.33	1.00
(6) % Hispanic/Latinx	0.03	−0.51	−0.11	−0.13	−0.38	1.00
(7) Pharmacy count	−0.02	−0.23	−0.18	−0.17	−0.24	0.42	1.00
Individual-level characteristics
(8) Age	0.01	0.09	−0.01	0.05	0.05	−0.10	−0.04	1.00
(9)>200% Poverty	−0.38	−0.21	−0.34	−0.24	0.22	0.08	0.09	0.15	1.00
(10) Income >$100 000	0.36	0.19	0.32	0.26	−0.23	−0.06	−0.06	−0.20	−0.41	1.00
(11) Grad degree	0.20	0.05	0.17	0.24	−0.06	−0.06	−0.08	−0.03	−0.26	0.29	1.00
(12) NH Black	−0.50	−0.02	−0.30	−0.22	0.69	−0.34	−0.22	0.03	0.20	−0.21	−0.08	1.00
(13) Hispanic/Latinx	0.14	0.21	0.18	0.16	0.01	−0.26	−0.12	0.03	−0.14	0.08	0.03	0.18	1.00
(14) Insured	0.08	0.07	0.07	0.07	−0.06	−0.03	−0.02	0.09	−0.13	0.10	0.07	−0.01	0.04	1.00