Table 2.

Rotated factor matrix results. Rotation method: principal axis factoring varimax with kaiser; rotation converged in 34 iterations.

	1	2	3	4	5	6
PCTBLA	0.095	−0.188	0.86	0.053	−0.005	0.036
PCTKIDS	0.045	−0.005	−0.132	0.033	0.896	−0.064
PCTOLD	−0.074	−0.474	0.116	−0.6	−0.275	0.313
PCTHISP	0.37	0.285	−0.253	0.063	0.12	−0.333
MEDAGE	−0.171	−0.133	−0.16	−0.153	−0.588	0.336
AVGPER	−0.25	0.218	0.096	0.782	0.224	0.147
FARM	−0.628	−0.327	−0.092	−0.304	−0.387	0.084
PCTMOB	−0.71	−0.145	−0.288	−0.053	−0.177	0.188
PCTREN	0.691	−0.052	0.346	−0.174	0.262	−0.449
PCTNOH	0.706	0.344	0.118	−0.156	−0.035	0.023
FEMLBR	0.303	0.021	0.793	−0.011	−0.028	0.02
TOTCVL	0.497	0.569	−0.379	−0.03	0.231	0.198
PCTPOV	−0.09	−0.699	0.603	−0.213	0.218	0.106
MVALO	0.363	0.639	−0.185	0.489	−0.045	0.031
MEDREN	0.599	0.54	−0.364	0.262	0.04	−0.096
BLDPER	0.775	0.308	−0.053	0.166	0.056	0.058
BRATE	0.112	0.015	0.137	0.04	0.856	0.013
RPROPD	−0.196	−0.147	0.362	−0.006	0.158	0.304
AG	−0.206	−0.753	−0.084	0.145	−0.052	0.093
TRAN	0.337	−0.076	−0.292	0.467	−0.075	0.086
VOTE92	−0.066	0.045	0.067	0.186	−0.074	0.853
GENEXP	0.072	0.053	0.091	0.477	−0.123	0.006
HOUDEN	0.83	0.031	0.088	0.093	−0.058	−0.064
MEDINC	0.198	0.745	−0.37	0.461	−0.059	0.024
EXPED	0.902	0.246	−0.02	0.045	0.033	−0.048
MELE	−0.177	0.002	0.118	−0.675	−0.226	−0.13
TRI	0.294	0.415	0.009	0.208	0.093	0.11