Table 1:

Demographic characteristics of our participants overall and by race and ethnicity (n = 7,096)

	All		White n =5,953		Black n =1,143		Non-Latino n =6,634		Latino n =459
	n	%	N	%	n	%	n	%	N	%
Sex
Female	3,196	45.0	2,572	43.2	624	54.6	3,003	45.3	192	41.8
Male	3,900	55.0	3,381	56.8	519	45.4	3,631	54.7	267	58.2
Race
White	5,953	83.9	4251	71.4	754	66.0	5502	82.9	448	97.6
Black	1,143	16.1	1702	28.6	389	34.0	1132	17.1	11	2.4
Latino
No	6,634	93.5	5502	92.4	1132	99.0
Yes	459	6.5	448	7.5	11	1.0
Education
1.Less than high-school	1,515	21.4	1088	18.3	427	37.4	1268	19.1	244	53.2
2.General Educational Development (GED)	362	5.1	315	5.3	47	4.1	339	5.1	23	5.0
3.High-school graduate	2,353	33.2	2030	34.1	323	28.3	2264	34.1	89	19.4
4.Some college	1,440	20.3	1238	20.8	202	17.7	1369	20.6	71	15.5
5.College and above	1,426	20.1	1282	21.5	144	12.6	1394	21.0	32	7.0
Census Occupational Classes
01.Managerial specialty operator	1,079	15.2	995	16.7	84	7.3	1042	15.7	37	8.1
02.Prof specialty operator/tech sup	1,087	15.3	947	15.9	140	12.2	1057	15.9	30	6.5
03.Sales	719	10.1	669	11.2	50	4.4	680	10.3	38	8.3
04.Clerical/admin supp	1,067	15.0	946	15.9	121	10.6	1014	15.3	53	11.5
05.Services:prv/clean/building svc	106	1.5	46	.8	60	5.2	93	1.4	13	2.8
06. Services protection	126	1.8	94	1.6	32	2.8	122	1.8	4	.9
07. Services food prep	207	2.9	157	2.6	50	4.4	187	2.8	19	4.1
08.Health Services	159	2.2	83	1.4	76	6.6	149	2.2	10	2.2
09.Personal Services	455	6.4	314	5.3	141	12.3	406	6.1	49	10.7
10.Farming/forestry/fishing	235	3.3	197	3.3	38	3.3	205	3.1	29	6.3
11.Mechanics/repair	284	4.0	256	4.3	28	2.4	266	4.0	18	3.9
12.Constr trade/extractors	268	3.8	225	3.8	43	3.8	248	3.7	20	4.4
13.Precision production	252	3.6	218	3.7	34	3.0	230	3.5	22	4.8
14.Operators: machine	470	6.6	360	6.0	110	9.6	411	6.2	59	12.9
15.Operators: transport, etc	396	5.6	317	5.3	79	6.9	358	5.4	38	8.3
16.Operators: handlers, etc	186	2.6	129	2.2	57	5.0	166	2.5	20	4.4
Managerial
No	6017	84.8	4958	83.3	1059	92.7	5592	84.3	422	91.9
Yes	1079	15.2	995	16.7	84	7.3	1042	15.7	37	8.1
Occupation Professional Specialty
No	6009	84.7	5006	84.1	1003	87.8	5577	84.1	429	93.5
Yes	1087	15.3	947	15.9	140	12.2	1057	15.9	30	6.5
Sales
No	6377	89.9	5284	88.8	1093	95.6	5954	89.7	421	91.7
Yes	719	10.1	669	11.2	50	4.4	680	10.3	38	8.3
Clerical Admin
No	6029	85.0	5007	84.1	1022	89.4	5620	84.7	406	88.5
Yes	1067	15.0	946	15.9	121	10.6	1014	15.3	53	11.5
Service
No	6043	85.2	5259	88.3	784	68.6	5677	85.6	364	79.3
Yes	1053	14.8	694	11.7	359	31.4	957	14.4	95	20.7
Operator
No	5005	70.5	4251	71.4	754	66.0	4750	71.6	253	55.1
Yes	2091	29.5	1702	28.6	389	34.0	1884	28.4	206	44.9

Table 2 shows that higher education was associated with lower odds of working in managerial occupational class, however, a significant interaction between Some college x Black suggested that the inverse association between some college and working in managerial occupational class is weaker for Black than White middle-age and older adults